diff --git a/.idea/vcs.xml b/.idea/vcs.xml
new file mode 100644
index 0000000..94a25f7
--- /dev/null
+++ b/.idea/vcs.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>
\ No newline at end of file
diff --git a/data/factory_train_data.csv b/data/factory_train_data.csv
new file mode 100644
index 0000000..4808887
--- /dev/null
+++ b/data/factory_train_data.csv
@@ -0,0 +1,1290 @@
+days,企业名称,r_O2,temperature,发电量（万千瓦时）,供热量（吉焦）,c_smoke,c_NO2,c_SO2,flow,num_workers,燃料消耗量（吨）,生产设备类型,燃料类型,低位发热量（GJ/t）,汽轮机类型,冷却方式,额定蒸发量,压力参数,总容量,day_of_year
+2018-10-01,浙江秀舟热电有限公司,9.9,51.25,15.6796,6536.83,28724.05415701449,3979906.526917947,766508.823680012,162345.192916667,2,323.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,273
+2018-10-02,浙江秀舟热电有限公司,9.4,50.6791666666667,13.3984,2484.64,22618.07362603354,2639425.25790294,518384.4708076049,140175.330833333,2,218.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,274
+2018-10-03,浙江秀舟热电有限公司,8.55,52.8083333333333,13.4023,3020.83,18176.770172728615,3231672.385566367,987080.0089023247,154686.184166667,2,212.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,275
+2018-10-04,浙江秀舟热电有限公司,10.2020833333333,48.8541666666667,12.4765,5599.23,91617.45787470677,2243444.040885948,288077.9348238511,120345.545833333,2,223.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,276
+2018-10-05,浙江秀舟热电有限公司,11.4979166666667,45.7833333333333,13.4414,4702.64999999999,299525.7436810058,3580802.44282098,55004.82482927114,162533.103541667,2,243.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,277
+2018-10-06,浙江秀舟热电有限公司,8.02083333333333,49.4375,17.0,4705.58,240303.01817406417,5931305.704315216,203105.8540914212,219555.796875,2,345.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,278
+2018-10-07,浙江秀舟热电有限公司,7.26875,50.4291666666667,31.3984,8734.33,274011.96867990954,5554177.244484774,466416.7553939887,237729.012916667,2,481.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,279
+2018-10-08,浙江秀舟热电有限公司,7.12708333333333,50.9958333333333,32.2031,9704.16,296381.34690591274,6289193.632667292,1333031.526599322,250409.313958333,2,522.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,280
+2018-10-09,浙江秀舟热电有限公司,6.92291666666667,53.6958333333333,41.1992,10556.79,331926.273332164,7134431.216477598,1362082.3420712438,265601.435,2,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,281
+2018-10-10,浙江秀舟热电有限公司,7.3875,52.4708333333333,43.5586,11640.89,293295.3253160481,8302596.351986936,1557999.0728725062,268020.1925,2,684.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,282
+2018-10-11,浙江秀舟热电有限公司,7.12916666666667,48.6791666666667,43.0,11418.12,299031.6189905362,8032289.580625776,1404882.6335649574,263319.345833333,2,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,283
+2018-10-12,浙江秀舟热电有限公司,7.17083333333333,51.1833333333333,43.4804,8250.87999999999,316558.9857863387,7845933.335287206,1348229.3135480003,258000.840208333,2,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,284
+2018-10-13,浙江秀舟热电有限公司,6.75833333333333,53.9625,43.0,10908.39,418089.77193114907,7837218.85961454,1151939.651334774,261395.978541667,2,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,285
+2018-10-14,浙江秀舟热电有限公司,6.8,49.2083333333333,43.4414,10949.41,373434.49186542165,6016161.809840295,645512.6424381675,250888.871875,2,678.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,286
+2018-10-15,浙江秀舟热电有限公司,6.43541666666667,51.8625,43.4376,10662.27,389174.87262797786,5512549.1582191195,340978.3457288021,249779.115208333,2,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,287
+2018-10-16,浙江秀舟热电有限公司,6.45416666666667,51.8916666666667,44.0429,11391.84,296285.7045070973,4391037.1339897225,466048.28393826605,235938.32,2,674.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,288
+2018-10-17,浙江秀舟热电有限公司,6.73958333333333,47.7666666666667,42.8398,10849.79,294207.3194050256,3895148.713590072,93125.55049138847,221416.265625,2,657.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,289
+2018-10-18,浙江秀舟热电有限公司,6.475,47.3,43.2382,10392.7099999999,233007.74451138356,2930521.3589524035,515964.7846061268,213728.498958333,2,665.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,290
+2018-10-19,浙江秀舟热电有限公司,6.08125,47.8583333333333,41.0,9938.56,198931.92477953137,3394727.033124381,940840.0566511013,216478.879375,2,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,291
+2018-10-20,浙江秀舟热电有限公司,8.37291666666667,49.7208333333333,42.7187,10958.2,133937.69950665446,2440202.442853811,485114.7146367339,169720.627291667,2,731.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,292
+2018-10-21,浙江秀舟热电有限公司,7.13333333333333,50.8875,20.121,5303.3,152151.20280189213,3791499.1199472575,303011.510280769,197756.5675,2,421.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,293
+2018-10-22,浙江秀舟热电有限公司,6.15,56.4208333333333,40.6406,10521.63,198791.9684141812,3860344.204074959,96787.69233245974,231334.985833333,2,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,294
+2018-10-23,浙江秀舟热电有限公司,6.11666666666667,56.4375,44.121,11860.64,238206.6901356873,4152187.3748379615,311556.4332029888,230578.985416667,2,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,295
+2018-10-24,浙江秀舟热电有限公司,6.02916666666667,56.375,44.1601,11640.89,209957.54629126488,3683130.7375252973,133465.29443489356,207587.400833333,2,691.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,296
+2018-10-25,浙江秀舟热电有限公司,5.84375,56.7875,38.0781,10679.85,164631.17336193757,3178741.609685544,228171.7042464662,218025.084166667,2,639.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,297
+2018-10-26,浙江秀舟热电有限公司,6.2875,55.5375,41.8398,11262.92,142763.4994754822,3163662.8146808404,393347.8964095315,200103.139166667,2,669.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,298
+2018-10-27,浙江秀舟热电有限公司,6.025,55.6833333333333,39.7226,10565.58,207992.16265186513,3748567.080729985,99353.72549872925,210261.525833333,2,649.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,299
+2018-10-28,浙江秀舟热电有限公司,6.22916666666667,54.9625,43.2382,11257.06,199523.60511617348,3759781.8795501683,76431.56752656853,205372.897916667,2,686.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,300
+2018-10-29,浙江秀舟热电有限公司,6.3375,55.1,43.7187,11107.63,192097.657329584,3962684.5040758816,74635.26571581549,210898.764166667,2,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,301
+2018-10-30,浙江秀舟热电有限公司,6.5875,55.3458333333333,43.082,10928.9,228689.78833494175,4082262.238763622,72480.13839507212,204559.745416667,2,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,302
+2018-10-31,浙江秀舟热电有限公司,7.65416666666667,52.5333333333333,36.3984,9305.68,173303.8055419235,2094790.5106108356,39093.39840821359,175364.86875,2,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,303
+2018-11-01,浙江秀舟热电有限公司,6.86041666666667,52.8958333333333,21.8789,6597.22,162508.22647561406,3093115.5892177355,56644.98012449247,185775.34625,2,510.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,304
+2018-11-02,浙江秀舟热电有限公司,6.55416666666667,54.7458333333333,34.7226,9751.04,179713.2248820048,3413377.439241874,158639.1377778125,196863.41,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,305
+2018-11-03,浙江秀舟热电有限公司,6.0375,55.5333333333333,33.5585,9838.94,237521.27058193873,3487230.7235494414,226052.05425367592,222776.254583333,2,564.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,306
+2018-11-04,浙江秀舟热电有限公司,6.1875,55.9666666666667,43.8789,11758.09,250430.89967753287,3911685.5302784094,389611.04243090376,223942.365,2,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,307
+2018-11-05,浙江秀舟热电有限公司,6.37083333333333,56.275,44.4023,11412.35,236359.28214536415,4320998.980852775,233739.91591559033,221969.5975,2,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,308
+2018-11-06,浙江秀舟热电有限公司,7.16666666666667,57.2083333333333,44.1601,11321.52,237572.03584684178,5576827.433201743,138912.6811101855,223668.017916667,2,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,309
+2018-11-07,浙江秀舟热电有限公司,11.05,48.4041666666667,31.0,9308.61,153114.85069278465,2671406.4403472976,118961.41281895539,179871.394166667,2,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,310
+2018-11-08,浙江秀舟热电有限公司,11.8166666666667,44.75,16.8789,6484.09,161913.98406557957,2587597.0651155435,464481.5345206345,186179.153333333,2,419.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,311
+2018-11-09,浙江秀舟热电有限公司,7.8875,51.8375,16.3984,6955.82,225422.18211076205,3557414.6223215694,275084.7871570487,186967.505416667,2,430.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,312
+2018-11-10,浙江秀舟热电有限公司,6.30833333333333,55.8875,35.5234,9885.82,376344.6110132971,4435828.430149127,786526.3998399762,216394.59875,2,555.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,313
+2018-11-11,浙江秀舟热电有限公司,6.4375,56.0541666666667,43.039,11599.87,334306.7544911064,4173874.4352804385,730954.7413305981,218367.694583333,2,624.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,314
+2018-11-12,浙江秀舟热电有限公司,6.46875,53.3875,43.3984,11213.1,331471.3856120262,4400142.852775912,953004.6726597024,223349.406666667,2,636.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,315
+2018-11-13,浙江秀舟热电有限公司,7.49583333333333,54.95,44.121,11869.43,229942.76958511677,2995544.33175832,342908.49656189844,169278.962083333,2,643.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,316
+2018-11-14,浙江秀舟热电有限公司,8.48125,47.7625,22.0781,6809.32,162175.9797120432,2708456.036764481,82596.3137257494,139949.143125,2,428.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,317
+2018-11-15,浙江秀舟热电有限公司,8.19583333333333,48.825,20.8404,6692.12,239174.4386104915,3694980.0325291296,572653.755404363,178771.675,2,432.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,318
+2018-11-16,浙江秀舟热电有限公司,6.69375,53.6958333333333,34.6406,9774.48,329454.6320208513,3452474.4198507587,544794.1969965966,213003.634166667,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,319
+2018-11-17,浙江秀舟热电有限公司,6.33125,49.4875,44.7187,11579.36,304092.397134395,3309855.328389302,186571.8898469999,214711.8725,2,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,320
+2018-11-18,浙江秀舟热电有限公司,6.77083333333333,54.8875,44.8828,11901.66,234889.28075273245,2860826.7067609457,244606.83667149208,208062.848333333,2,683.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,321
+2018-11-19,浙江秀舟热电有限公司,6.45833333333333,53.7583333333333,44.8789,11617.45,228539.69911975664,2705007.619769574,382059.94503383536,195173.254166667,2,639.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,322
+2018-11-20,浙江秀舟热电有限公司,6.15,51.3666666666667,41.3593,11509.04,258645.68293969057,2886444.3276471263,200139.19957953697,196285.075208333,2,677.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,323
+2018-11-21,浙江秀舟热电有限公司,6.97916666666667,57.3833333333333,43.8007,11840.13,83885.80730553248,5424973.529272211,749070.2654664733,279708.040416667,2,677.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,324
+2018-11-22,浙江秀舟热电有限公司,8.32083333333333,53.075,43.121,11280.5,134617.03331858388,6174316.509762093,451993.49378763343,259171.2025,2,639.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,325
+2018-11-24,浙江秀舟热电有限公司,6.65416666666667,55.9208333333333,43.8398,11948.54,212855.45663891913,5933659.392440878,151814.08959290036,252420.035,2,663.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,327
+2018-11-25,浙江秀舟热电有限公司,6.25833333333333,54.575,44.64,11594.01,223056.6839981548,4776689.064662217,192259.00986236896,216364.465,2,675.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,328
+2018-11-26,浙江秀舟热电有限公司,6.1875,51.4166666666667,44.2389,11995.42,205182.50062746857,4496368.867634559,476453.46518001717,213430.93625,2,701.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,329
+2018-11-27,浙江秀舟热电有限公司,6.42083333333333,54.7541666666667,43.4804,11517.83,198684.82067494336,3963724.2949429806,420922.57329818094,197507.922916667,2,640.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,330
+2018-11-28,浙江秀舟热电有限公司,6.23333333333333,55.5958333333333,40.7617,10902.53,264234.3608580428,5145690.783474252,94683.20040650778,268746.591666667,2,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,331
+2018-11-29,浙江秀舟热电有限公司,6.54583333333333,54.225,43.7968,11010.94,207293.25334166133,3058323.8012127,128940.3313827252,193903.5425,2,613.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,332
+2018-11-30,浙江秀舟热电有限公司,6.35833333333333,53.9458333333333,43.3632,11262.92,155423.5631246429,1318202.6636055342,160355.6873015455,176375.09125,2,686.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,333
+2018-12-01,浙江秀舟热电有限公司,5.93333333333333,56.2583333333333,40.5976,10492.33,175970.4094150171,3172761.204631692,100243.6017256883,184424.71,2,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,334
+2018-12-02,浙江秀舟热电有限公司,5.98333333333333,44.1375,41.9218,10644.69,191295.74448888545,1978283.7924583443,54527.44797637222,184867.903333333,2,620.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,335
+2018-12-03,浙江秀舟热电有限公司,6.18541666666667,52.4291666666667,43.2382,10685.71,187944.91696438318,1924080.0418452728,56328.661852252226,183628.644375,2,688.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,336
+2018-12-04,浙江秀舟热电有限公司,6.45416666666667,52.0583333333333,40.6406,10981.64,146684.43720434324,2408054.836457849,55504.12317744167,200344.655833333,2,684.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,337
+2018-12-05,浙江秀舟热电有限公司,6.3125,47.1625,45.2812,11670.19,122204.97275677728,1864548.07473525,46079.4217274888,182589.373333333,2,751.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,338
+2018-12-06,浙江秀舟热电有限公司,8.65833333333333,50.4583333333333,33.4804,9812.57,58978.47023059467,1755465.2476840802,96789.21732305722,111359.595416667,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,339
+2018-12-07,浙江秀舟热电有限公司,8.6375,50.225,10.0781,5200.75,155938.34392495255,3614710.173775443,107535.81257489412,215245.129166667,2,339.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,340
+2018-12-08,浙江秀舟热电有限公司,7.74583333333333,51.2958333333333,43.7187,11605.73,470907.08098466217,8701560.540593851,120952.16121181373,286016.56375,2,739.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,341
+2018-12-09,浙江秀舟热电有限公司,6.55416666666667,52.75,45.4804,12121.41,242370.69579059078,3976190.546999814,68057.8126391336,216024.74625,2,758.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,342
+2018-12-10,浙江秀舟热电有限公司,6.14791666666667,51.4833333333333,45.0,11658.47,124748.8335614171,3787695.392327297,66424.18795297609,225460.326875,2,719.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,343
+2018-12-11,浙江秀舟热电有限公司,6.86666666666667,52.9875,42.1171,11596.94,118464.33973190901,2139083.548932809,42125.53824727756,208975.799166667,2,751.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,344
+2018-12-12,浙江秀舟热电有限公司,7.72083333333333,50.8875,44.0429,12191.73,213445.82468947367,5257411.549700498,83825.3548801158,250071.046666667,2,751.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,345
+2018-12-13,浙江秀舟热电有限公司,8.13333333333333,49.4791666666667,42.1171,11596.94,219844.5836966756,3964612.899120867,73046.55706795357,248636.172916667,2,750.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,346
+2018-12-14,浙江秀舟热电有限公司,8.3125,31.925,44.0429,12191.73,155630.33339131624,2523181.3320338423,116520.55770240672,154137.076666667,2,767.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,347
+2018-12-15,浙江秀舟热电有限公司,6.875,45.275,44.4804,11737.58,156127.43029200227,1934593.3683904337,43991.706877857025,184789.47875,2,749.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,348
+2018-12-16,浙江秀舟热电有限公司,7.125,52.7208333333333,45.1992,12572.63,170037.24612262985,2250618.0454433262,44163.58731825194,211904.834166667,2,795.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,349
+2018-12-17,浙江秀舟热电有限公司,7.39583333333333,52.9416666666667,45.0,12347.02,197986.0007938623,2650113.596739345,53717.71115878761,213081.585833333,2,754.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,350
+2018-12-18,浙江秀舟热电有限公司,7.76666666666667,12.3833333333333,42.7187,11966.12,59425.569263364916,797274.3060077062,17222.55401627541,48431.8016666667,2,734.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,351
+2018-12-19,浙江秀舟热电有限公司,7.7,26.2,44.8789,12244.47,114819.97114056117,1560510.3778760594,33026.502503058924,106484.298333333,2,715.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,352
+2018-12-20,浙江秀舟热电有限公司,7.08333333333333,54.3708333333333,45.7226,11825.48,85681.14703827091,1405287.2186732304,54142.90492149831,77547.70875,2,679.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,353
+2018-12-21,浙江秀舟热电有限公司,5.86666666666667,55.6708333333333,43.7187,11262.92,51519.537633202905,630928.8281000366,21102.50280448429,45021.7808333333,2,736.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,354
+2018-12-22,浙江秀舟热电有限公司,5.52083333333333,56.075,44.082,10882.02,46438.8433646895,532578.9186891975,20882.92428441822,44117.1833333333,2,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,355
+2018-12-23,浙江秀舟热电有限公司,5.9125,54.9541666666667,41.3593,11172.09,54120.266641619884,684265.8497502572,24296.677364926854,44551.5816666667,2,620.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,356
+2018-12-24,浙江秀舟热电有限公司,6.15833333333333,54.1333333333333,45.7968,11564.71,54008.41600755153,551032.0642189817,20735.374002899258,44527.0529166667,2,667.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,357
+2018-12-25,浙江秀舟热电有限公司,6.40416666666667,52.9791666666667,45.6406,11799.11,54207.958962474724,490197.3015867,20345.68677459507,44882.92,2,679.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,358
+2018-12-27,浙江秀舟热电有限公司,6.46666666666667,53.1916666666667,44.4023,11468.02,51566.440535535614,669176.6626245741,20586.9566086018,43493.77375,2,695.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,360
+2018-12-28,浙江秀舟热电有限公司,7.225,52.9916666666667,44.4375,12162.43,57714.71697952249,619102.0031321633,21675.86108108021,41636.4633333333,2,715.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,361
+2018-12-29,浙江秀舟热电有限公司,7.6875,52.2875,42.0,11717.07,56807.26637777103,701059.1126519627,30987.163227467823,43256.3029166667,2,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,362
+2018-12-30,浙江秀舟热电有限公司,6.59166666666667,53.9333333333333,45.3593,12197.59,77157.78735773,1018005.7594989507,17256.451197434206,45794.0820833333,2,715.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,363
+2018-12-31,浙江秀舟热电有限公司,6.175,55.3833333333333,44.8398,12235.68,66978.25060785555,735358.4328052344,12782.244226644707,50941.3420833333,2,725.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,364
+2019-01-01,浙江秀舟热电有限公司,6.90833333333333,53.6958333333333,41.4804,10331.18,66771.75255583397,605565.8041926544,10661.610438802547,48842.6529166667,2,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,0
+2019-01-02,浙江秀舟热电有限公司,7.11666666666667,53.1833333333333,44.4414,9718.81,81464.96723423625,790253.6205016552,17121.94156933734,51658.4141666667,2,602.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,1
+2019-01-03,浙江秀舟热电有限公司,7.19583333333333,52.975,39.3593,11535.41,92255.12947375512,1120054.1510859441,193893.47297090868,56227.1916666667,2,686.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,2
+2019-01-04,浙江秀舟热电有限公司,7.15,51.075,45.039,12165.36,84123.86899414973,1144445.8503366497,124448.35602191684,55671.3010416667,2,728.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,3
+2019-01-05,浙江秀舟热电有限公司,7.66666666666667,51.1291666666667,45.8007,12414.41,71634.70633347944,824611.978173193,52196.43702190188,55352.06125,2,718.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,4
+2019-01-06,浙江秀舟热电有限公司,7.85,50.5583333333333,43.5195,11816.69,76388.19004894816,734442.9241322031,55384.13061362036,55446.7322916667,2,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,5
+2019-01-07,浙江秀舟热电有限公司,6.93125,49.8666666666667,42.6406,11283.43,77185.25993235594,1186334.7314645809,104768.03865755492,54761.300625,2,662.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,6
+2019-01-08,浙江秀舟热电有限公司,7.01458333333333,44.9375,42.2421,11793.25,84976.95057074334,1327053.282157634,156462.23033139633,54515.6225,2,694.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,7
+2019-01-09,浙江秀舟热电有限公司,6.90833333333333,50.1208333333333,43.1992,11942.68,77925.81641802714,1056581.9453349833,31406.350046347114,53816.5572916667,2,678.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,8
+2019-01-10,浙江秀舟热电有限公司,7.5,53.8333333333333,43.6796,12054.02,74118.19254364529,848962.3667130026,27711.622103795922,54059.4658333333,2,672.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,9
+2019-01-11,浙江秀舟热电有限公司,8.80833333333333,51.3083333333333,41.8398,11816.69,73575.33081649168,787972.3449723617,39069.44418389459,54642.5204166667,2,721.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,10
+2019-01-12,浙江秀舟热电有限公司,8.75833333333333,51.4833333333333,39.0,9745.18,73367.22000686896,909971.6778786263,16074.195306669288,54332.51125,2,613.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,11
+2019-01-13,浙江秀舟热电有限公司,8.475,51.9583333333333,34.7578,10337.04,77281.85005314404,1033562.4890263358,19530.883392143554,54392.7795833333,2,638.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,12
+2019-01-14,浙江秀舟热电有限公司,7.87083333333333,52.8458333333333,42.5625,11151.58,81461.70705945468,796922.1776883805,15863.994604179472,54040.16875,2,654.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,13
+2019-01-16,浙江秀舟热电有限公司,8.04166666666667,51.2208333333333,40.1992,11547.13,73209.15495384384,1024296.2153266738,17514.690247666505,53200.2816666667,2,730.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,15
+2019-01-18,浙江秀舟热电有限公司,9.35,47.4041666666667,42.3203,11629.17,75227.2217170509,802274.5062660389,34314.17130953211,53624.9204166667,2,725.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,17
+2019-01-19,浙江秀舟热电有限公司,7.37291666666667,51.9083333333333,43.6406,10618.32,71369.4295954364,891285.4503663784,22709.326697392324,54529.4145833333,2,637.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,18
+2019-01-20,浙江秀舟热电有限公司,7.98333333333333,55.95,42.5976,10457.17,82040.2064745553,1004675.8936194103,29525.51486426034,58610.685,2,593.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,19
+2019-01-21,浙江秀舟热电有限公司,8.25625,49.3833333333333,41.2421,9897.54,88365.05413730466,824824.5149180195,29995.571854439833,58274.76625,2,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,20
+2019-01-22,浙江秀舟热电有限公司,8.60416666666667,53.0458333333333,40.5195,9595.75,83033.50239687569,898620.0387902175,27338.828067561666,49178.21875,2,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,21
+2019-01-23,浙江秀舟热电有限公司,8.57916666666667,53.2333333333333,41.5585,9604.54,80575.19396317635,979275.5161918622,31731.851439229522,49042.6895833333,2,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,22
+2019-01-25,浙江秀舟热电有限公司,9.75416666666667,51.1958333333333,32.5585,7969.6,72685.63352069532,992529.5353925742,46954.22875100517,57611.8391666667,2,550.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,24
+2019-01-26,浙江秀舟热电有限公司,9.23333333333333,52.0291666666667,36.9218,9634.70999999999,74659.2710119187,1239088.7755371428,32839.46611759889,58047.00375,2,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,25
+2019-01-27,浙江秀舟热电有限公司,8.29583333333333,52.2375,40.8007,8983.37999999999,64759.323463168774,1048606.0000331744,25681.466496626257,57503.2395833333,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,26
+2019-01-28,浙江秀舟热电有限公司,9.59166666666667,51.5958333333333,38.5585,8529.23,67132.55901907057,1574314.1095828952,27017.7660837487,58489.2391666667,2,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,27
+2019-01-29,浙江秀舟热电有限公司,9.38333333333333,52.625,37.7617,8412.03,69459.81655450226,1359872.0141537897,24284.5174905297,57902.42375,2,515.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,28
+2019-01-30,浙江秀舟热电有限公司,9.00416666666667,51.7125,38.5976,8514.58,116494.923482991,1609680.4057654827,34778.54927968712,107292.229166667,2,545.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,29
+2019-01-31,浙江秀舟热电有限公司,10.2041666666667,50.7375,39.8828,8497.0,56639.87692882601,967273.9299611978,19907.67123489737,57839.7333333333,2,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,30
+2019-02-01,浙江秀舟热电有限公司,10.7291666666667,50.7,39.7187,7966.67,69285.56243894242,1193293.4992541815,49553.09882062967,57148.20375,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,31
+2019-02-21,浙江秀舟热电有限公司,12.3333333333333,40.35,28.7617,7064.0,141035.10278822196,2846334.1291069104,96032.22592738524,214594.98125,2,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,51
+2019-02-22,浙江秀舟热电有限公司,12.2833333333333,38.9208333333333,0.0,5282.79,119354.78711212023,1785873.349239541,2511.8794300581967,221156.092083333,2,278.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,52
+2019-02-23,浙江秀舟热电有限公司,12.125,39.4625,0.0,5780.89,117933.28253017523,2043945.819228184,2422.142488225964,228358.41625,2,300.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,53
+2019-02-24,浙江秀舟热电有限公司,12.0125,40.0208333333333,0.0,6059.24,178813.18641287423,944313.7238721901,600.3320407146721,234900.615833333,2,330.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,54
+2019-02-25,浙江秀舟热电有限公司,12.05,40.7125,0.0,6232.11,205771.26762320852,576493.9936636175,1496.1982675767865,241595.855,2,345.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,55
+2019-02-26,浙江秀舟热电有限公司,12.0666666666667,41.3708333333333,0.0,6059.24,137058.43178108733,781999.0024211918,103357.01594536963,247876.993333333,2,348.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,56
+2019-02-27,浙江秀舟热电有限公司,11.6833333333333,42.0625,0.0,6170.58,136324.9667752514,1490631.8564382156,126805.79869164954,240761.27875,2,350.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,57
+2019-02-28,浙江秀舟热电有限公司,12.3,41.6208333333333,0.0,6378.61,184933.06307588384,962853.7813106952,389332.76437028084,233006.495416667,2,354.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,58
+2019-03-04,浙江秀舟热电有限公司,3.66541666666667,6.53333333333333,8.9199,5901.02,1418282.939940957,1287007.7416535479,10053851.530411556,249879.476666667,2,399.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,62
+2019-03-05,浙江秀舟热电有限公司,9.53333333333333,50.9666666666667,22.56,9417.02,89724.52474300146,1370224.8239258113,27921.654071315344,312851.597916667,2,506.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,63
+2019-03-06,浙江秀舟热电有限公司,10.5625,49.9791666666667,24.5601,9109.37,89323.9509564866,1805976.2418867745,49202.897051964195,324891.870416667,2,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,64
+2019-03-07,浙江秀舟热电有限公司,12.5166666666667,46.7416666666667,24.0801,9208.99,111808.14173357995,1478427.8644626562,27919.869684910092,359973.3225,2,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,65
+2019-03-08,浙江秀舟热电有限公司,11.9083333333333,47.375,23.72,8514.2,97167.73976944595,1118065.533986158,74629.50066516931,364163.614583333,2,554.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,66
+2019-03-09,浙江秀舟热电有限公司,15.325,53.4375,28.9199,9660.20999999999,105555.78168914304,658791.0141928203,235486.89449124056,302719.334583333,2,658.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,67
+2019-03-10,浙江秀舟热电有限公司,21.6666666666667,61.3875,34.48,10140.73,57844.8179823344,135.17776354196917,10419.95260636012,164801.620833333,2,681.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,68
+2019-03-11,浙江秀舟热电有限公司,12.075,46.5,33.28,9847.73,177319.10546572847,838273.8914467504,67921.81141229966,116068.467916667,2,658.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,69
+2019-03-12,浙江秀舟热电有限公司,20.2041666666667,44.7833333333333,33.3999,9381.86,39851.57250525778,24936.38759890051,279966.3448855754,111820.222916667,2,657.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,70
+2019-03-14,浙江秀舟热电有限公司,8.70416666666667,29.6666666666667,26.6799,7582.84,49044.71095589314,251750.93943160956,57112.26502034018,49804.2741666667,2,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,72
+2019-03-16,浙江秀舟热电有限公司,11.6916666666667,45.7083333333333,13.72,4210.41,87090.34092050564,842997.6868103651,86304.43900766301,57676.0616666667,2,315.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,74
+2019-03-17,浙江秀舟热电有限公司,11.7583333333333,46.7166666666667,37.2,11134.0,91442.64878143919,611448.821705848,8622.434336725108,57025.91125,2,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,75
+2019-03-18,浙江秀舟热电有限公司,11.3958333333333,47.7416666666667,37.6001,11239.48,75396.24474171507,241780.03253617266,4818.102270927776,56578.4341666667,2,693.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,76
+2019-03-21,浙江秀舟热电有限公司,12.025,47.4583333333333,37.0798,10665.2,78466.29235154667,261666.6317743712,6157.758627792673,56243.6225,2,671.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,79
+2019-03-22,浙江秀舟热电有限公司,11.975,46.5291666666667,38.8801,10920.11,74091.45897791361,422726.0769442696,19367.802852188895,56584.3529166667,2,698.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,80
+2019-03-23,浙江秀舟热电有限公司,11.7416666666667,46.3875,38.5601,11301.01,75766.8125679886,263286.6462305304,7730.071713782512,56405.3233333333,2,694.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,81
+2019-03-24,浙江秀舟热电有限公司,11.8416666666667,46.575,38.5198,11523.69,75789.9887075425,323041.53301694087,8528.129520970531,56111.9141666667,2,732.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,82
+2019-03-25,浙江秀舟热电有限公司,11.7125,47.4208333333333,36.2002,11031.45,75371.65761084689,485391.87857948605,11634.015458597753,55949.8925,2,683.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,83
+2019-03-26,浙江秀舟热电有限公司,11.5416666666667,48.1208333333333,37.6399,11415.28,269954.5082554298,1486495.1616594968,33752.80266740853,190826.797916667,2,708.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,84
+2019-03-27,浙江秀舟热电有限公司,11.75,49.4375,38.3601,11500.25,575288.3540583479,2476939.2152273967,79032.75762965121,412166.646666667,2,717.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,85
+2019-03-28,浙江秀舟热电有限公司,11.9208333333333,48.8708333333333,38.8799,11573.5,604182.3728844898,2255623.989918899,74071.4949972717,413923.065,2,715.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,86
+2019-03-29,浙江秀舟热电有限公司,12.1791666666667,48.8916666666667,38.9199,11506.11,570487.1484027815,2328209.4863736276,169922.9351868786,415097.250416667,2,695.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,87
+2019-03-30,浙江秀舟热电有限公司,12.1625,48.5416666666667,38.7202,11051.96,626096.9078275413,1709302.05255192,75184.7004925937,414776.35,2,714.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,88
+2019-03-31,浙江秀舟热电有限公司,12.325,47.8458333333333,38.5999,10817.56,649023.0935793227,1447535.662632735,78678.67130215043,426423.460416667,2,706.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,89
+2019-04-01,浙江秀舟热电有限公司,12.3791666666667,47.6958333333333,38.76,11532.48,586423.654545556,1686741.1972488165,94434.32634642976,421298.5725,2,744.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,90
+2019-04-02,浙江秀舟热电有限公司,12.1541666666667,48.525,38.6799,11327.38,616909.336228019,2707767.160425553,90859.11706455075,423217.62875,2,687.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,91
+2019-04-03,浙江秀舟热电有限公司,13.2708333333333,47.0416666666667,38.3601,11368.4,508616.4680984494,2384127.2802809407,86542.82999722553,397306.079166667,2,733.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,92
+2019-04-04,浙江秀舟热电有限公司,12.375,48.6291666666667,33.8401,9991.29999999999,540822.4250443927,2525218.9135951526,191472.229033822,423968.018333333,2,620.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,93
+2019-04-05,浙江秀舟热电有限公司,12.6541666666667,48.1125,38.76,11497.32,634080.0527559539,2164247.9209354715,30298.33470554512,409288.9925,2,723.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,94
+2019-04-06,浙江秀舟热电有限公司,12.35,43.3541666666667,38.5999,9962.0,570797.2342852565,1578810.7824276558,75492.9439913599,348875.544583333,2,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,95
+2019-04-11,浙江秀舟热电有限公司,20.825,34.325,0.0,3580.46,300325.06976893434,678660.4378900294,226635.42334725405,237605.090833333,2,223.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,100
+2019-04-12,浙江秀舟热电有限公司,16.7291666666667,39.6916666666667,0.0,3776.77,329781.6025276611,2058276.7828011464,1329125.5090431205,258100.435,2,243.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,101
+2019-04-13,浙江秀舟热电有限公司,13.875,45.0625,15.76,4682.14,278176.43553002726,1869199.2381115048,290214.48010851943,226372.740833333,2,319.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,102
+2019-04-14,浙江秀舟热电有限公司,13.0708333333333,45.9083333333333,18.8398,4816.92,271124.7379433066,2448223.913599568,147819.80472897028,226519.69875,2,332.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,103
+2019-04-15,浙江秀舟热电有限公司,10.6791666666667,50.0625,18.4402,4567.87,459798.7626609545,6069343.66712456,649078.1801180879,339724.455416667,2,312.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,104
+2019-04-16,浙江秀舟热电有限公司,9.98333333333333,52.8958333333333,35.2798,10671.66,454664.65597994765,8042722.219064874,220999.21612490155,376246.231666667,2,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,105
+2019-04-17,浙江秀舟热电有限公司,9.80833333333333,53.8875,38.1599,10046.9699999999,495992.43211269943,7743810.906298949,225670.52264008523,383536.28875,2,675.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,106
+2019-04-18,浙江秀舟热电有限公司,9.99583333333333,53.7166666666667,38.1602,11057.82,515213.53214948764,7892160.740836394,295524.3975997198,392043.975833333,2,704.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,107
+2019-04-19,浙江秀舟热电有限公司,10.0958333333333,53.9125,38.3999,10999.22,482102.29785938334,7470402.817148779,124500.42571885738,385432.046666667,2,711.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,108
+2019-04-20,浙江秀舟热电有限公司,9.7875,54.525,37.7603,10671.06,447522.3620796686,7446844.156906583,128492.5565541808,382396.199583333,2,673.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,109
+2019-04-21,浙江秀舟热电有限公司,9.875,54.2916666666667,37.7998,10583.16,459012.2613770275,5859062.196785828,110123.16912538478,355956.850833333,2,717.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,110
+2019-04-22,浙江秀舟热电有限公司,9.21875,50.7208333333333,37.8398,10134.87,462154.80096789595,5849052.746261399,128676.12820943745,363944.4575,2,642.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,111
+2019-04-23,浙江秀舟热电有限公司,9.85,51.6125,37.2002,10974.12,390365.7899128858,4557260.296476683,108273.73534531756,323219.084375,2,721.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,112
+2019-04-24,浙江秀舟热电有限公司,10.0270833333333,50.0875,32.5601,9651.42,562292.7754932126,4971251.893688391,123296.0415536796,370029.045833333,2,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,113
+2019-04-27,浙江秀舟热电有限公司,9.74583333333333,52.55,38.0,10301.8799999999,620419.1123842057,5856751.555828562,90916.15105022409,346469.47125,2,648.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,116
+2019-04-28,浙江秀舟热电有限公司,9.90416666666667,50.8708333333333,36.2002,9841.87,604211.0649633055,6716551.78533591,182678.0175037217,332710.084791667,2,658.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,117
+2019-04-29,浙江秀舟热电有限公司,10.1416666666667,55.9958333333333,36.5215,9264.66,744556.4748544784,7307964.381146816,270834.63488842634,392781.94625,2,620.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,118
+2019-04-30,浙江秀舟热电有限公司,10.0875,52.3333333333333,43.5981,10591.95,600105.5992797574,3649384.608720231,309671.1700385562,382949.447916667,2,720.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,119
+2019-05-01,浙江秀舟热电有限公司,10.7166666666667,50.7958333333333,45.4433,44087.12,596687.320993676,2982918.447317956,213250.65968357495,326240.659166667,2,710.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,120
+2019-05-02,浙江秀舟热电有限公司,10.6291666666667,49.9625,23.7176,8218.65,680681.0968335454,3230709.197283752,490070.8649844963,344853.555,2,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,121
+2019-05-03,浙江秀舟热电有限公司,9.4125,52.3833333333333,40.2406,9504.92,845935.4412209527,7320631.243119196,334700.1614810762,370940.754166667,2,634.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,122
+2019-05-04,浙江秀舟热电有限公司,9.25416666666667,54.3958333333333,45.3182,10492.33,714416.0925476091,5430728.01726576,159512.48420019052,340766.17375,2,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,123
+2019-05-05,浙江秀舟热电有限公司,8.62083333333333,55.9166666666667,38.5209,9894.61,685551.7987394427,4061049.816496468,87203.26207057468,351018.494166667,2,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,124
+2019-05-06,浙江秀舟热电有限公司,9.10833333333333,54.6375,44.2382,11128.14,779669.466523461,4214681.225191501,167773.65809113928,375479.020833333,2,661.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,125
+2019-05-07,浙江秀舟热电有限公司,9.72083333333333,48.1625,44.5195,11180.88,911184.7587346896,5901046.253273146,175769.82047463334,382613.532083333,2,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,126
+2019-05-08,浙江秀舟热电有限公司,9.72708333333333,50.1708333333333,43.9219,10958.0,880491.6008159551,4951111.307324913,669243.5395939201,380247.295625,2,666.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,127
+2019-05-09,浙江秀舟热电有限公司,10.1041666666667,50.3791666666667,38.9195,10741.38,832209.8238567836,6064032.520116005,537106.4743765335,371455.932291667,2,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,128
+2019-05-10,浙江秀舟热电有限公司,10.06875,50.1083333333333,44.039,9868.24,692783.9093382333,4132981.482828631,91819.13651626419,344292.408333333,2,640.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,129
+2019-05-11,浙江秀舟热电有限公司,9.87916666666667,52.1958333333333,38.9218,9912.19,749854.6497927181,3580404.7236036942,194299.22032383128,344261.073333333,2,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,130
+2019-05-12,浙江秀舟热电有限公司,10.4041666666667,51.5458333333333,42.2382,10152.45,1619261.7096131216,3663546.6922099255,171786.72921845128,325230.913333333,2,660.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,131
+2019-05-13,浙江秀舟热电有限公司,16.1916666666667,38.0833333333333,43.4414,9988.37,888854.0061128862,895520.7815351442,23160.8716521442,134423.819166667,2,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,132
+2019-05-17,浙江秀舟热电有限公司,19.3458333333333,28.825,41.4023,9774.48,16973.128214793032,3799.796321671875,4242.548048845516,7754.10291666667,2,597.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,136
+2019-05-20,浙江秀舟热电有限公司,19.9958333333333,27.8375,42.2421,10023.53,2556.3784108842256,247.05142534460006,3721.478238236974,1837.62208333333,2,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,139
+2019-05-21,浙江秀舟热电有限公司,20.1083333333333,28.6458333333333,41.4804,9417.02,17345.735329977626,16213.802201587101,18521.941382829526,17441.2725,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,140
+2019-05-22,浙江秀舟热电有限公司,15.2666666666667,40.4208333333333,39.4804,9270.52,285175.35801962775,1796239.2039490445,119007.34595628394,123768.15875,2,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,141
+2019-05-23,浙江秀舟热电有限公司,7.76666666666667,56.5166666666667,39.0781,9794.99,950014.3030869968,5550054.333338769,170185.94334956765,313949.302916667,2,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,142
+2019-05-24,浙江秀舟热电有限公司,7.65833333333333,57.1125,40.5991,9818.43,421512.3962510595,4410909.512696858,371123.9335469263,324163.54,2,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,143
+2019-05-25,浙江秀舟热电有限公司,7.52083333333333,57.1625,43.8398,10383.92,551762.0715392219,5293031.556671524,56860.97683801147,338005.074583333,2,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,144
+2019-05-26,浙江秀舟热电有限公司,7.59583333333333,57.825,45.082,10489.4,490056.7650571643,4629216.664151146,43741.15572733729,322191.03625,2,623.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,145
+2019-05-27,浙江秀舟热电有限公司,7.87916666666667,57.525,44.3593,10102.64,860112.5819648182,4951130.088281734,33300.818992000655,343968.463333333,2,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,146
+2019-05-28,浙江秀舟热电有限公司,8.18333333333333,54.9416666666667,44.0,10758.96,610482.8146402608,5043390.648171095,42205.64982212612,330905.15625,2,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,147
+2019-05-29,浙江秀舟热电有限公司,8.43333333333333,55.9791666666667,41.6015,9789.12999999999,279745.9007490629,4739830.249484386,39900.715552072674,317291.135416667,2,591.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,148
+2019-05-30,浙江秀舟热电有限公司,8.1125,56.2625,42.2773,9100.58,102254.88149213714,5542970.04998372,46924.45654321813,306563.44125,2,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,149
+2019-05-31,浙江秀舟热电有限公司,9.39583333333333,54.5125,41.0,10301.8799999999,98655.45005789078,5342504.058409901,0.0,287908.77625,2,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,150
+2019-06-02,浙江秀舟热电有限公司,10.0208333333333,54.025,26.4804,7445.13,47675.50798027224,3138380.3997950046,0.0,262861.120416667,2,493.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,152
+2019-06-03,浙江秀舟热电有限公司,9.65416666666667,54.5541666666667,26.6015,7339.65,185907.74285845982,3490375.355952929,0.0,256543.809166667,2,473.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,153
+2019-06-04,浙江秀舟热电有限公司,10.0,54.6833333333333,25.4765,8036.99,154406.12133564497,3797649.3640314857,0.0,256059.74125,2,470.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,154
+2019-06-05,浙江秀舟热电有限公司,9.175,55.4833333333333,24.9609,7861.19,278758.3137864335,3610348.9483584804,0.0,276955.607916667,2,471.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,155
+2019-06-06,浙江秀舟热电有限公司,8.89583333333333,56.3791666666667,41.7617,10360.48,286158.1446501774,3825915.3635047222,0.0,288675.1675,2,597.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,156
+2019-06-07,浙江秀舟热电有限公司,11.8125,52.0166666666667,38.9609,8895.48,225939.576830282,3609787.660374239,33373.98190729924,216205.415,2,550.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,157
+2019-06-08,浙江秀舟热电有限公司,11.8583333333333,51.4041666666667,23.7578,3779.7,235620.48468842887,3206160.244573498,0.0,279261.701666667,2,335.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,158
+2019-06-09,浙江秀舟热电有限公司,10.8291666666667,52.925,33.9218,6826.9,262688.326832685,3930301.9712063973,0.0,304413.749166667,2,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,159
+2019-06-10,浙江秀舟热电有限公司,10.5166666666667,53.025,43.8398,9100.58,364888.13893459697,4157596.829698576,0.0,319504.514583333,2,607.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,160
+2019-06-11,浙江秀舟热电有限公司,10.5708333333333,52.3291666666667,40.5195,9918.04999999999,548189.2222868225,3747200.515384526,0.0,333232.05,2,629.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,161
+2019-06-12,浙江秀舟热电有限公司,10.4875,52.1791666666667,44.199219,10612.46,336957.33517850045,2861468.0367941186,0.0,328796.766666667,2,656.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,162
+2019-06-13,浙江秀舟热电有限公司,10.2166666666667,52.5916666666667,43.3984,10263.79,504192.9466054088,3599501.2180302646,0.0,328930.605,2,646.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,163
+2019-06-14,浙江秀舟热电有限公司,9.5625,52.7083333333333,43.5625,10589.02,358581.0445368715,3579727.9831357687,69465.12942676844,324020.09,2,656.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,164
+2019-06-15,浙江秀舟热电有限公司,8.57916666666667,54.4541666666667,43.4804,10641.76,281306.96983086655,4560604.856291967,0.0,322409.948333333,2,667.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,165
+2019-06-16,浙江秀舟热电有限公司,8.0,58.6541666666667,43.4375,10489.4,278668.78186328436,5365750.373124205,0.0,282271.206666667,2,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,166
+2019-06-17,浙江秀舟热电有限公司,8.45,58.1708333333333,43.4414,10041.11,271159.50082623505,7519674.383195346,0.0,308386.183333333,2,589.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,167
+2019-06-18,浙江秀舟热电有限公司,8.65416666666667,58.0541666666667,43.0,10662.27,262165.0811772089,6043027.628181952,0.0,322615.236666667,2,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,168
+2019-06-19,浙江秀舟热电有限公司,9.04583333333333,57.925,44.6406,10419.08,283862.16722241865,6618529.840204167,0.0,326306.972083333,2,635.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,169
+2019-06-20,浙江秀舟热电有限公司,9.23333333333333,57.6958333333333,44.5195,10322.39,266919.1014342832,5198075.971466024,0.0,304322.587916667,2,622.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,170
+2019-06-21,浙江秀舟热电有限公司,9.0875,56.15,43.5585,9317.4,278396.7790284133,4867387.256582428,63876.47318349649,313945.745416667,2,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,171
+2019-06-22,浙江秀舟热电有限公司,9.00833333333333,55.1166666666667,43.4804,10090.92,281242.7470015803,3271226.370418082,0.0,292774.190833333,2,663.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,172
+2019-06-23,浙江秀舟热电有限公司,9.375,55.175,40.6406,9490.27,309318.1225265394,3689651.5511635933,0.0,294410.285416667,2,592.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,173
+2019-06-25,浙江秀舟热电有限公司,9.175,55.9333333333333,26.1601,7257.61,260116.00105331,2885081.038828517,0.0,249059.669583333,2,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,175
+2019-06-26,浙江秀舟热电有限公司,9.075,56.2083333333333,25.5594,7301.56,251421.43045923926,2692887.5286463634,0.0,251302.359166667,2,493.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,176
+2019-06-27,浙江秀舟热电有限公司,9.5125,59.3541666666667,27.08,7659.02,234358.16277511296,2502552.2023716285,67427.30372927838,244196.145833333,2,498.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,177
+2019-06-28,浙江秀舟热电有限公司,9.49583333333333,57.5791666666667,26.4799,7421.69,263157.51975570974,2426121.4589969707,64242.95394976497,255613.625833333,2,465.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,178
+2019-06-29,浙江秀舟热电有限公司,9.975,57.0166666666667,25.9199,7515.45,378169.10812176,2994830.5396543634,1279194.0836246116,267657.359166667,2,471.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,179
+2019-06-30,浙江秀舟热电有限公司,10.125,57.8958333333333,23.8398,7131.62,372180.16361581517,3243733.074453045,1313533.5665249368,267529.999166667,2,459.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,180
+2019-07-01,浙江秀舟热电有限公司,9.44166666666667,57.7958333333333,26.3598,7029.07,376632.8337388766,4722845.135333317,242873.41012355953,304858.372916667,2,458.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,181
+2019-07-02,浙江秀舟热电有限公司,9.00416666666667,58.6666666666667,41.4804,10046.9699999999,437520.1170605786,5391228.078514181,409069.35535008274,346925.47875,2,607.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,182
+2019-07-03,浙江秀舟热电有限公司,9.06666666666667,58.525,41.957,9991.29999999999,476974.73302415916,6109061.907518352,616008.0467681576,345310.467916667,2,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,183
+2019-07-04,浙江秀舟热电有限公司,9.02916666666667,58.5083333333333,43.7226,10395.64,551847.1032772582,5750719.996944969,285682.90555510775,343146.045416667,2,649.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,184
+2019-07-05,浙江秀舟热电有限公司,8.21666666666667,60.3708333333333,42.5976,10316.53,565670.1977527238,6711666.92565102,1218.6392822718208,323167.380416667,2,633.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,185
+2019-07-06,浙江秀舟热电有限公司,9.4625,57.2958333333333,41.2812,10105.57,513812.48762586166,11875841.341698205,836016.2174732658,334609.202916667,2,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,186
+2019-07-07,浙江秀舟热电有限公司,11.7625,51.1958333333333,33.4804,9071.28,481660.920153856,7394704.400714448,575943.4832478032,290715.649583333,2,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,187
+2019-07-08,浙江秀舟热电有限公司,12.4666666666667,48.625,25.3203,6864.99,361459.8871069145,4126457.4128570715,285167.7261088788,290145.223333333,2,423.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,188
+2019-07-09,浙江秀舟热电有限公司,13.0833333333333,48.8375,25.4375,7032.0,589816.0222880859,6278723.64585397,35043.91357287522,379571.265416667,2,421.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,189
+2019-07-10,浙江秀舟热电有限公司,12.0791666666667,50.375,42.6015,9124.02,584804.3167081085,5540290.6113834595,0.0,405180.659583333,2,577.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,190
+2019-07-11,浙江秀舟热电有限公司,12.45,50.45,44.1602,10369.27,419878.3891715647,5441712.079640887,0.0,402424.72875,2,646.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,191
+2019-07-12,浙江秀舟热电有限公司,12.4375,51.0291666666667,44.082,9871.17,485916.8652369381,5443600.3701700205,81937.20100351846,414853.3775,2,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,192
+2019-07-13,浙江秀舟热电有限公司,11.8,51.6708333333333,44.5195,10357.5499999999,509655.7173317209,5863924.212161234,0.0,415823.317083333,2,626.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,193
+2019-07-14,浙江秀舟热电有限公司,11.7708333333333,52.2166666666667,44.1601,10427.87,377335.1950676414,4133937.6034193686,0.0,382538.477916667,2,626.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,194
+2019-07-15,浙江秀舟热电有限公司,11.4875,51.7083333333333,42.2382,9376.0,397343.8390523168,4942033.8594039185,0.0,378083.3425,2,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,195
+2019-07-16,浙江秀舟热电有限公司,12.2333333333333,50.8375,42.8789,10269.65,420314.68121818255,5264490.914290855,0.0,401016.902083333,2,619.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,196
+2019-07-17,浙江秀舟热电有限公司,12.6375,50.8083333333333,41.3203,9326.19,383041.07919484045,5692455.488527273,0.0,394511.995,2,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,197
+2019-07-18,浙江秀舟热电有限公司,12.4333333333333,51.1666666666667,42.0,9918.04999999999,302243.45473137574,5503026.016953383,0.0,389159.9975,2,592.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,198
+2019-07-19,浙江秀舟热电有限公司,12.9875,49.7125,41.7226,9548.87,325361.3388431056,5151255.135241854,158112.292698149,437293.589583333,2,593.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,199
+2019-07-20,浙江秀舟热电有限公司,13.7791666666667,48.7875,43.8398,9733.45999999999,326039.0760620681,4478651.257483103,0.0,431810.295,2,596.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,200
+2019-07-21,浙江秀舟热电有限公司,11.7125,52.1416666666667,37.1601,8675.73,292997.0006649371,4438772.5794428615,0.0,375491.626666667,2,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,201
+2019-08-05,浙江秀舟热电有限公司,10.6541666666667,53.1458333333333,35.6796,8429.61,251878.73952486232,3586725.40610928,19607.327028881482,331101.35,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,216
+2019-08-06,浙江秀舟热电有限公司,10.55,52.9041666666667,34.7578,9390.65,261854.13691914914,3393467.0442763004,14399.074491341233,331146.550416667,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,217
+2019-08-07,浙江秀舟热电有限公司,10.8125,52.725,40.9609,9551.79999999999,268101.7796687627,3236287.9623407125,47487.54263825887,340067.51375,2,591.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,218
+2019-08-08,浙江秀舟热电有限公司,11.325,52.4041666666667,32.7226,8259.67,279919.7032094723,3848224.5721947444,511.5024270616012,364106.344166667,2,571.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,219
+2019-08-10,浙江秀舟热电有限公司,13.7625,48.2,31.5585,7653.16,277439.0077485767,1710508.9953463948,150609.747063513,353632.274583333,2,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,221
+2019-08-11,浙江秀舟热电有限公司,13.2125,48.5416666666667,22.3984,4140.09,264287.50152477535,2351753.8662840426,24907.317924572588,345211.785416667,2,365.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,222
+2019-08-12,浙江秀舟热电有限公司,11.1375,51.3041666666667,38.7617,8432.54,318840.85559840867,4620155.8265998,1932.3688218085235,391680.49375,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,223
+2019-08-13,浙江秀舟热电有限公司,11.7125,51.475,42.9179,10187.61,308417.7719747616,4129571.9060377884,2655.340266678952,376954.43375,2,623.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,224
+2019-08-14,浙江秀舟热电有限公司,10.8208333333333,52.1125,41.5625,9238.29,334141.0588781611,4621998.708033109,10212.135051288546,387352.5175,2,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,225
+2019-08-15,浙江秀舟热电有限公司,11.1458333333333,51.7375,44.2723,10413.2199999999,324210.243196421,5186175.757564064,110755.90026634281,388057.328333333,2,642.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,226
+2019-08-16,浙江秀舟热电有限公司,11.6666666666667,51.6625,36.7226,9247.08,263646.25773642753,4234378.900161948,827.9604325504476,336016.884166667,2,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,227
+2019-08-17,浙江秀舟热电有限公司,9.5625,54.6291666666667,26.8007,7861.19,237502.73420103872,4055045.5542039364,1715.5953712038745,307393.634166667,2,489.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,228
+2019-08-18,浙江秀舟热电有限公司,10.9541666666667,54.5375,41.4765,9956.14,272068.60206904623,4667055.366307545,2308.217575650328,287625.486666667,2,613.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,229
+2019-08-19,浙江秀舟热电有限公司,9.78333333333333,54.2333333333333,32.8008,8397.37999999999,289510.2145721429,5792986.476456224,1047.6847330716862,333321.303333333,2,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,230
+2019-08-20,浙江秀舟热电有限公司,9.36666666666667,54.0541666666667,45.6801,10460.1,257882.53875466555,4856053.301308968,229.53496996409012,328439.952083333,2,675.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,231
+2019-08-21,浙江秀舟热电有限公司,10.175,52.8916666666667,36.2421,9214.85,287896.74860034586,4335428.813627151,122.40508018720244,349051.997083333,2,559.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,232
+2019-08-22,浙江秀舟热电有限公司,9.14583333333333,54.6083333333333,45.2788,9481.48,293088.23990705836,5781917.59143334,274793.24713531503,351980.28875,2,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,233
+2019-08-23,浙江秀舟热电有限公司,8.74166666666667,55.9,47.5185,10301.8799999999,267166.7709885584,6762686.370989193,1627993.2731957638,332996.609166667,2,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,234
+2019-08-24,浙江秀舟热电有限公司,8.77916666666667,55.5875,45.6815,10342.9,257411.2172677547,5624593.573863405,693561.3580472867,325465.886666667,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,235
+2019-08-25,浙江秀舟热电有限公司,9.62916666666667,55.4708333333333,44.1972,9862.37999999999,242257.97750305588,4809485.585690996,2743.3394664980137,303263.710833333,2,629.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,236
+2019-08-26,浙江秀舟热电有限公司,10.1916666666667,54.7416666666667,31.6405,7533.03,202578.01343419138,3879980.530377156,1696.3341803656244,256039.457916667,2,477.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,237
+2019-08-27,浙江秀舟热电有限公司,9.97916666666667,55.7208333333333,26.2031,7067.16,181164.6829672493,4065724.6301401756,490.51809467666766,235151.872083333,2,449.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,238
+2019-08-28,浙江秀舟热电有限公司,10.5083333333333,54.925,25.4766,6771.23,228636.17775748024,4008264.625531822,0.0,266795.425416667,2,450.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,239
+2019-08-29,浙江秀舟热电有限公司,10.2166666666667,50.7041666666667,25.8008,7193.15,255974.93625495568,5559479.765028807,115951.31714061505,260244.79375,2,445.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,240
+2019-08-30,浙江秀舟热电有限公司,9.025,54.6375,33.043,7216.59,263759.068950309,4242204.149657969,331.2169137090517,316520.82125,2,478.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,241
+2019-08-31,浙江秀舟热电有限公司,9.8375,54.7708333333333,37.9193,8031.13,260853.85266603596,4797430.141664937,45827.110350438255,304247.109583333,2,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,242
+2019-09-01,浙江秀舟热电有限公司,8.94583333333333,56.1708333333333,40.477,9211.92,233150.75539334296,6305301.745258536,548565.6957570317,297670.987083333,2,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,243
+2019-09-02,浙江秀舟热电有限公司,11.0791666666667,53.3541666666667,35.683,8013.55,278415.7044083308,6832794.8055968555,624713.2404807709,357652.16375,2,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,244
+2019-09-03,浙江秀舟热电有限公司,11.0458333333333,53.8666666666667,45.2391,9903.4,283708.0944938515,7101843.3747974485,678529.9965455149,356679.697083333,2,661.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,245
+2019-09-04,浙江秀舟热电有限公司,10.875,54.8333333333333,44.6005,10008.8799999999,305231.82639528485,6750388.63955971,1284591.3959325294,364525.027083333,2,633.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,246
+2019-09-05,浙江秀舟热电有限公司,11.2916666666667,54.7375,47.5966,10392.7099999999,303166.7361307486,5084096.076169357,934722.0666393968,361651.81625,2,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,247
+2019-09-06,浙江秀舟热电有限公司,11.4041666666667,53.8125,44.5234,9147.45999999999,266089.59615286294,4717624.8055099845,862043.3262564616,345405.688333333,2,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,248
+2019-09-07,浙江秀舟热电有限公司,11.2625,53.6833333333333,36.6781,8136.61,268668.7366426673,3588014.4540014914,622363.792357118,343778.230416667,2,525.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,249
+2019-09-08,浙江秀舟热电有限公司,11.5166666666667,53.1583333333333,39.9994,9135.74,301585.33765627694,5229708.54729054,40153.36523618202,354785.069583333,2,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,250
+2019-09-09,浙江秀舟热电有限公司,11.6666666666667,53.05,42.0805,9352.56,312956.0190539037,4635817.890507962,55011.30509088475,361629.50125,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,251
+2019-09-10,浙江秀舟热电有限公司,11.5083333333333,53.8166666666667,44.1186,9689.51,314939.5084221448,3438437.936906436,28230.89889232265,349489.676666667,2,572.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,252
+2019-09-11,浙江秀舟热电有限公司,11.6458333333333,54.0791666666667,43.1601,9399.44,328417.80921809946,2580736.2126820874,2686.943771959143,349547.507083333,2,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,253
+2019-09-12,浙江秀舟热电有限公司,11.5666666666667,53.7166666666667,42.0,8959.94,335379.22042537533,5138001.552706833,72532.67876295865,386142.985416667,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,254
+2019-09-13,浙江秀舟热电有限公司,12.4125,51.8958333333333,43.9232,9759.83,336469.04228456866,2771825.172985886,97338.11485888925,386483.964583333,2,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,255
+2019-09-14,浙江秀舟热电有限公司,12.2791666666667,52.0666666666667,40.121,8488.20999999999,378634.1014494214,3883324.236649169,62560.647629645246,404425.4025,2,513.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,256
+2019-09-15,浙江秀舟热电有限公司,12.4125,51.4291666666667,43.3222,9431.67,370921.1901748613,4167650.4430106725,24919.029764643194,406554.900833333,2,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,257
+2019-09-16,浙江秀舟热电有限公司,11.5041666666667,51.4458333333333,41.559,9390.65,360950.3512673613,5869419.057754514,396165.019683689,403117.407916667,2,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,258
+2019-09-17,浙江秀舟热电有限公司,9.47083333333333,53.95,45.5195,10085.06,294617.84837204433,5139626.33642313,228412.89307080983,331705.871666667,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,259
+2019-09-18,浙江秀舟热电有限公司,9.54583333333333,54.5291666666667,44.9188,9985.44,285925.0928559991,5366613.449057838,147946.12112498566,344159.914166667,2,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,260
+2019-09-19,浙江秀舟热电有限公司,10.6458333333333,53.0291666666667,46.4003,10219.84,257195.87759371955,4646760.915004362,243110.5492390828,316400.482916667,2,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,261
+2019-09-20,浙江秀舟热电有限公司,11.0666666666667,53.0666666666667,30.7617,8189.35,233823.2407554949,3405605.2444597813,8134.7075697711325,283042.67875,2,472.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,262
+2019-09-21,浙江秀舟热电有限公司,11.0791666666667,52.6333333333333,27.5976,7263.47,223827.51614751408,2956025.478908708,4133.751424345981,287280.92125,2,434.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,263
+2019-09-22,浙江秀舟热电有限公司,11.6291666666667,52.0583333333333,27.5976,7263.47,221972.11964023687,3622438.5491058407,7121.563711909976,285296.043333333,2,434.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,264
+2019-09-23,浙江秀舟热电有限公司,11.2625,52.5416666666667,28.8789,7664.88,232794.3669692556,3434872.3074656995,3531.7740979297605,287441.112083333,2,457.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,265
+2019-09-24,浙江秀舟热电有限公司,11.4208333333333,51.6416666666667,28.3693,7779.15,248282.39002369944,4164773.9534050524,3832.4774430024295,294238.55,2,487.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,266
+2019-09-25,浙江秀舟热电有限公司,12.0625,50.275,28.1601,7623.86,263520.704346946,4062233.906493459,4564.925587112459,293474.637916667,2,484.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,267
+2019-09-26,浙江秀舟热电有限公司,10.9041666666667,52.6208333333333,25.8007,7157.99,298182.80689569155,3526502.159444565,55821.20885179237,308831.52125,2,440.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,268
+2019-09-27,浙江秀舟热电有限公司,10.25,53.1125,41.9179,8810.51,282655.2411897622,3041009.1815263093,19944.31337285661,316177.8625,2,545.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,269
+2019-09-28,浙江秀舟热电有限公司,9.6375,53.9125,41.4804,9182.62,287037.24335630453,4019568.900284054,144361.4323759265,344414.125833333,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,270
+2019-09-29,浙江秀舟热电有限公司,10.4291666666667,52.6708333333333,47.0,10049.9,310618.0532902963,5140833.367157522,234924.51252637306,372543.12375,2,606.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,271
+2019-09-30,浙江秀舟热电有限公司,12.2291666666667,50.2,46.52,10105.57,364605.36746374716,4582726.376537187,66718.24358983923,427853.211666667,2,608.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,272
+2019-10-01,浙江秀舟热电有限公司,13.5875,48.3458333333333,42.8007,9267.59,343179.01007761736,4243071.34115613,19242.26679022399,426032.384583333,2,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,273
+2019-10-02,浙江秀舟热电有限公司,13.6,48.4916666666667,44.3203,8080.94,339682.6921488813,3665931.946859975,20609.961096673655,429467.745833333,2,494.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,274
+2019-10-03,浙江秀舟热电有限公司,12.625,49.5,44.9609,8576.11,371557.36044768256,4650415.078839734,263640.0634004577,445227.6275,2,496.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,275
+2019-10-04,浙江秀舟热电有限公司,12.675,49.1041666666667,43.6805,9677.79,371585.6404992439,4107542.6688110097,192335.37607512836,444337.648333333,2,571.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,276
+2019-10-05,浙江秀舟热电有限公司,13.1541666666667,48.4333333333333,43.3988,9147.45999999999,399790.62888895406,4996382.9608531445,161170.3637445511,476664.72125,2,547.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,277
+2019-10-06,浙江秀舟热电有限公司,13.9833333333333,46.4375,46.3983,9885.82,438144.347458438,5004649.658306707,131481.30461458792,531081.57875,2,596.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,278
+2019-10-07,浙江秀舟热电有限公司,13.8333333333333,47.2666666666667,45.9208,10108.5,390179.28934417444,3881425.343741261,202085.5243506298,445572.95625,2,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,279
+2019-10-08,浙江秀舟热电有限公司,13.325,47.2208333333333,30.0781,7826.03,400680.0934649741,3538610.37528964,925930.0603294502,472319.196666667,2,476.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,280
+2019-10-09,浙江秀舟热电有限公司,13.05,48.275,46.121,10134.87,427908.55492806406,4715255.020576058,813821.2379467929,485841.590833333,2,605.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,281
+2019-10-10,浙江秀舟热电有限公司,12.7375,48.7,47.5991,10067.48,439538.86473892943,5578843.173031902,346886.7536343993,483877.072083333,2,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,282
+2019-10-11,浙江秀舟热电有限公司,13.4875,47.925,46.1606,10020.6,387029.51163672254,5238391.756180856,281661.8672658959,441624.793333333,2,597.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,283
+2019-10-12,浙江秀舟热电有限公司,11.9125,49.8875,39.3593,7363.09,336259.48427720915,5649871.750018734,28211.60079952858,402560.539166667,2,487.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,284
+2019-10-13,浙江秀舟热电有限公司,11.5416666666667,50.2208333333333,42.9218,8983.37999999999,311725.31483531924,3950328.520989933,9083.212298833165,372312.098333333,2,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,285
+2019-10-14,浙江秀舟热电有限公司,10.525,51.2916666666667,42.3203,8914.23,288605.1739943183,3503297.594584431,21783.844689549827,349232.36375,2,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,286
+2019-10-15,浙江秀舟热电有限公司,12.2291666666667,46.8583333333333,42.1196,8992.17,222563.76399289194,2455080.6475361385,14163.14861772948,257403.3475,2,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,287
+2019-10-16,浙江秀舟热电有限公司,9.7625,51.5125,39.998,8772.42,281712.9182865316,4146226.015666764,90166.44175864596,324913.362916667,2,504.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,288
+2019-10-17,浙江秀舟热电有限公司,10.4541666666667,51.4083333333333,44.0019,9173.83,272843.30858401064,4140291.5838246522,79718.27720241874,315608.128333333,2,549.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,289
+2019-10-18,浙江秀舟热电有限公司,9.9875,51.65,42.0781,8312.41,286042.6421351664,3265926.5193212405,45478.14534547893,325420.625,2,489.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,290
+2019-10-19,浙江秀舟热电有限公司,10.125,51.6375,42.7626,8971.66,285556.27029294445,4138721.065024224,11431.305310973985,321507.0975,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,291
+2019-10-20,浙江秀舟热电有限公司,9.73333333333333,52.5916666666667,42.6796,8634.70999999999,306878.5936797626,4863662.437531823,60545.3820675968,328558.290833333,2,506.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,292
+2019-10-21,浙江秀舟热电有限公司,10.1083333333333,51.9583333333333,43.8803,9475.62,293100.57628152793,4299453.2127135545,75550.76966262975,323531.015833333,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,293
+2019-10-22,浙江秀舟热电有限公司,9.65833333333333,52.8083333333333,42.2787,9053.7,304980.36703549494,5038824.098087141,202782.56365034805,328471.397916667,2,524.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,294
+2019-10-23,浙江秀舟热电有限公司,10.5083333333333,51.6791666666667,45.9599,9669.0,279640.1297155645,3767366.6589260735,99464.15594196753,311552.446666667,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,295
+2019-10-24,浙江秀舟热电有限公司,9.4,52.775,38.039,8139.54,291744.43671725324,3391986.3565194407,298489.3120175346,325879.540833333,2,489.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,296
+2019-10-25,浙江秀舟热电有限公司,9.49166666666667,53.0208333333333,45.5624,9449.25,291355.05534506554,4346267.31226209,367509.86965425377,326201.472083333,2,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,297
+2019-10-26,浙江秀舟热电有限公司,9.68333333333333,51.8583333333333,45.9183,9501.99,287491.6654214544,4166503.0420240667,248707.74306472047,332066.51625,2,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,298
+2019-10-27,浙江秀舟热电有限公司,9.9125,51.85,43.4404,8933.57,308092.0580642545,4688305.182895346,234042.67999052198,331472.87125,2,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,299
+2019-10-28,浙江秀舟热电有限公司,9.6125,53.2666666666667,43.3593,8998.03,313836.4493885743,6026271.123071987,874843.6121324276,329279.713333333,2,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,300
+2019-10-29,浙江秀舟热电有限公司,9.9,52.2,45.5605,9586.95999999999,339929.447598932,6999038.718416246,1127397.2975637,355229.5725,2,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,301
+2019-10-30,浙江秀舟热电有限公司,9.71666666666667,52.8791666666667,47.1606,9733.45999999999,352077.72087741236,7060003.905105131,290934.2268587278,337235.849583333,2,599.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,302
+2019-10-31,浙江秀舟热电有限公司,10.3125,53.7208333333333,44.518,9490.27,322908.85811833484,5627767.024743309,492471.3795030247,311140.589166667,2,603.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,303
+2019-11-01,浙江秀舟热电有限公司,11.725,51.0708333333333,44.2011,8898.41,371604.3811047114,6237814.801004168,386177.1019323493,362487.611666667,2,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,304
+2019-11-02,浙江秀舟热电有限公司,12.1166666666667,50.1875,43.2411,9211.92,391225.8271366047,5283220.807816539,359164.9327898391,390804.56875,2,573.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,305
+2019-11-03,浙江秀舟热电有限公司,11.3208333333333,51.05,44.2001,9062.49,330074.4900123626,4200134.479220963,564858.5399882247,342453.637916667,2,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,306
+2019-11-04,浙江秀舟热电有限公司,9.39583333333333,54.0458333333333,43.9198,9109.37,268882.5783436556,4458928.189599153,1373310.0992546605,283203.799166667,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,307
+2019-11-05,浙江秀舟热电有限公司,10.2333333333333,52.5583333333333,43.3173,8889.62,282085.4753257715,4548981.642993423,1845599.4648872449,283548.35,2,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,308
+2019-11-06,浙江秀舟热电有限公司,11.2083333333333,50.6958333333333,36.6835,7755.71,401057.99641976337,6155814.685111488,1007287.4630336872,365259.339166667,2,477.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,309
+2019-11-07,浙江秀舟热电有限公司,11.2375,50.7083333333333,43.56,8725.54,335432.5755088856,5030489.117332028,1729042.4812769128,337040.018333333,2,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,310
+2019-11-08,浙江秀舟热电有限公司,9.91666666666667,52.4708333333333,40.3593,8286.04,284524.84849592997,3073130.877810718,2987712.843095487,287546.917916667,2,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,311
+2019-11-09,浙江秀舟热电有限公司,9.37916666666667,52.6875,35.7578,7366.02,289209.29481117736,4039546.765570234,630759.8571926566,271206.4825,2,490.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,312
+2019-11-10,浙江秀舟热电有限公司,9.54166666666667,53.1125,43.6015,9203.12999999999,323923.75796354056,2872585.9812265607,82168.92393329441,282497.3525,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,313
+2019-11-11,浙江秀舟热电有限公司,9.9875,53.2583333333333,42.04,8268.45999999999,349877.7701566751,2599865.721277826,336389.25105999643,293949.020833333,2,511.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,314
+2019-11-13,浙江秀舟热电有限公司,10.3125,52.7208333333333,27.8789,6346.38,359134.2424441344,2770565.396062632,501182.98662618647,297032.868333333,2,408.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,316
+2019-11-14,浙江秀舟热电有限公司,10.5375,51.4041666666667,41.7597,8822.23,427191.51970733167,4385628.307433264,585236.7339580271,341680.722083333,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,317
+2019-11-15,浙江秀舟热电有限公司,9.66666666666667,52.4125,45.2009,9437.53,409719.0383391689,3661830.335984601,287001.82280925516,332471.510833333,2,555.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,318
+2019-11-16,浙江秀舟热电有限公司,9.74166666666666,51.9791666666667,44.3203,9214.85,405276.6542645991,3159057.6211784235,216806.89675630126,316001.230416667,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,319
+2019-11-17,浙江秀舟热电有限公司,9.4125,52.5708333333333,44.2421,9080.07,389198.13403455855,3540600.787672459,89060.34899459743,314004.557916667,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,320
+2019-11-18,浙江秀舟热电有限公司,9.92916666666667,51.6333333333333,44.5199,9370.14,412056.49689991475,3586456.5716097993,65228.59818123492,310886.830833333,2,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,321
+2019-11-19,浙江秀舟热电有限公司,9.59166666666667,52.3666666666667,42.8778,9487.34,493220.20130102703,6931917.769931607,131701.75617762917,327473.805416667,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,322
+2019-11-20,浙江秀舟热电有限公司,9.34166666666667,53.15,46.6405,9803.78,490756.91483854613,6828862.078416812,201719.6012622108,298435.639166667,2,622.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,323
+2019-11-21,浙江秀舟热电有限公司,10.5833333333333,53.0625,44.3983,9460.96999999999,563864.5114282276,6027005.053336471,274959.48764204216,331567.7275,2,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,324
+2019-11-22,浙江秀舟热电有限公司,11.6166666666667,52.4041666666667,46.7196,9698.29999999999,603972.4243522568,6679846.934024095,365025.8339678952,358274.923333333,2,603.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,325
+2019-11-23,浙江秀舟热电有限公司,12.1708333333333,52.1625,43.9199,9334.98,604971.9579527762,3896417.481747094,387506.40848559135,349570.7475,2,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,326
+2019-11-24,浙江秀舟热电有限公司,11.6041666666667,52.9166666666667,40.8828,9097.65,549468.8556254368,3982695.346076829,466212.43022312433,335832.20875,2,536.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,327
+2019-11-25,浙江秀舟热电有限公司,11.8,51.2958333333333,43.7997,9208.99,556962.8093353466,3998368.475570144,318056.98890336655,343430.11875,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,328
+2019-11-26,浙江秀舟热电有限公司,11.7875,51.2625,46.8798,9780.34,612889.8207939493,5469331.429612703,99554.45295443828,350461.0875,2,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,329
+2019-11-27,浙江秀舟热电有限公司,11.9,51.7416666666667,45.8002,9440.45999999999,618440.7323973569,6395996.181391778,92703.89248209889,353587.69375,2,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,330
+2019-11-28,浙江秀舟热电有限公司,13.2916666666667,49.2333333333333,45.7997,9411.16,600787.4936087285,4219372.158745119,75849.72158205429,338931.96125,2,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,331
+2019-11-29,浙江秀舟热电有限公司,12.2625,50.025,41.7177,8253.81,720190.1259702557,5465863.302423827,325675.6913973931,379288.025416667,2,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,332
+2019-11-30,浙江秀舟热电有限公司,12.1916666666667,50.1041666666667,48.6,10190.54,771557.3041820766,7643782.894767874,395151.4432862077,384042.987083333,2,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,333
+2019-12-01,浙江秀舟热电有限公司,12.825,48.9833333333333,46.4413,9519.57,766188.6597599812,4895553.995259075,135795.18717673921,368940.594166667,2,593.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,334
+2019-12-02,浙江秀舟热电有限公司,11.6625,49.4,45.4808,9332.04999999999,810477.2916832387,6393799.266614965,213983.01731879544,374943.555416667,2,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,335
+2019-12-03,浙江秀舟热电有限公司,12.0333333333333,48.8416666666667,47.6385,9838.94,927678.0554505404,7401496.940641083,20448.74549545201,376387.27875,2,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,336
+2019-12-04,浙江秀舟热电有限公司,10.7833333333333,50.7833333333333,43.7597,8989.24,889957.0083183598,7762864.666134967,10146.622750227709,309108.17,2,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,337
+2019-12-05,浙江秀舟热电有限公司,11.675,48.8458333333333,43.9213,8942.36,1348228.0369348167,7178071.60208912,5735.513486676774,358942.68875,2,571.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,338
+2019-12-10,浙江秀舟热电有限公司,8.98333333333333,31.9166666666667,41.4379,8904.27,841906.1487476544,601644.7567038933,6517.9830870786145,103514.822083333,2,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,343
+2019-12-11,浙江秀舟热电有限公司,11.275,47.1916666666667,44.8021,9352.56,2324908.9703685567,5396220.160515447,50194.71040958962,385294.262916667,2,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,344
+2019-12-12,浙江秀舟热电有限公司,12.1708333333333,46.2916666666667,45.2782,9302.75,1855951.8215109834,3560108.5403953986,33300.570960125275,387655.054583333,2,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,345
+2019-12-13,浙江秀舟热电有限公司,12.325,46.65,42.5199,8523.37,1811745.780886336,4357883.846659867,109461.69274905384,393527.150416667,2,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,346
+2019-12-14,浙江秀舟热电有限公司,11.7833333333333,47.6875,43.5194,8980.45,1033403.6977825854,6079427.1031607315,70049.78520435258,380203.163333333,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,347
+2019-12-15,浙江秀舟热电有限公司,11.6916666666667,48.1916666666667,42.9618,9197.27,569358.2577082556,1885551.006232847,43929.105637727414,371874.1375,2,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,348
+2019-12-16,浙江秀舟热电有限公司,11.6,49.275,45.5194,9308.61,584697.2542567174,4341908.173032555,89350.87468546124,374393.060416667,2,579.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,349
+2019-12-17,浙江秀舟热电有限公司,12.3208333333333,48.0875,45.9579,9513.70999999999,565179.7410387794,2758031.1427048766,45587.73880566531,380065.963333333,2,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,350
+2019-12-18,浙江秀舟热电有限公司,12.2791666666667,46.9,45.203,8986.31,581206.3400490314,2571824.0294674486,59046.300473127994,392592.74125,2,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,351
+2019-12-19,浙江秀舟热电有限公司,12.2083333333333,46.3,45.3573,9206.06,590453.5308203046,3473712.5584106846,90130.19026908322,402265.050833333,2,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,352
+2019-12-20,浙江秀舟热电有限公司,12.1583333333333,46.0083333333333,45.642,9349.62999999999,594514.2577677224,4218135.076902239,129981.30309094631,409050.307916667,2,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,353
+2019-12-21,浙江秀舟热电有限公司,11.55,47.3041666666667,46.0771,9308.61,571429.0799200318,4883748.188213104,41074.06693937104,388916.18125,2,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,354
+2019-12-22,浙江秀舟热电有限公司,11.6458333333333,47.6875,44.9633,9109.37,564687.6503839927,5608297.480567,43973.25838540398,383205.944166667,2,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,355
+2019-12-23,浙江秀舟热电有限公司,12.4208333333333,46.675,41.5594,8502.86,555754.1306514647,3974244.818733542,25701.14454025845,370575.614166667,2,576.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,356
+2019-12-24,浙江秀舟热电有限公司,10.8791666666667,49.2083333333333,45.642,9349.62999999999,543613.7126288844,4289334.526879787,53048.169039125736,366576.342083333,2,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,357
+2019-12-25,浙江秀舟热电有限公司,9.56666666666667,51.5875,47.3607,9932.7,500911.340670596,4830090.1515880395,89592.03066339494,326230.07625,2,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,358
+2019-12-26,浙江秀舟热电有限公司,10.7208333333333,50.4416666666667,47.4775,9912.19,452120.92261695623,3806532.51110756,35062.438896825246,307222.482916667,2,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,359
+2019-12-27,浙江秀舟热电有限公司,9.67916666666667,51.175,37.8417,8379.79999999999,464323.4728416526,4533720.941122426,82308.88329679979,312552.557083333,2,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,360
+2019-12-28,浙江秀舟热电有限公司,9.10416666666667,51.3708333333333,41.558,8825.16,484222.3514895317,5400174.871911046,8989.971714820735,318953.640833333,2,551.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,361
+2019-12-29,浙江秀舟热电有限公司,9.28333333333333,52.35,42.4428,9422.87999999999,485182.6237834345,5181448.580282596,12856.221597948097,318261.239166667,2,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,362
+2019-12-31,浙江秀舟热电有限公司,9.3,51.275,47.1635,9686.58,499784.2124084809,5289592.614325951,14329.477418704668,330564.44375,2,599.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,364
+2020-01-04,浙江秀舟热电有限公司,9.90833333333333,51.4583333333333,39.3607,8772.42,474256.1618651862,3137840.578205576,638.7288375288696,302232.82875,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,3
+2020-01-05,浙江秀舟热电有限公司,9.575,51.5166666666667,43.1205,8658.15,502588.2183022324,2765754.3051109593,427.9167461066113,303776.187083333,2,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,4
+2020-01-06,浙江秀舟热电有限公司,10.0541666666667,52.4083333333333,44.6791,8974.59,460149.1465064537,2552076.2788675926,396.9369389747135,282558.010833333,2,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,5
+2020-01-07,浙江秀舟热电有限公司,10.575,51.45,39.4389,8441.33,456710.73042644904,3512763.038264448,2299.7564818910005,296772.994166667,2,508.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,6
+2020-01-08,浙江秀舟热电有限公司,10.9791666666667,49.5041666666667,36.1601,7661.95,411919.93463862705,1794748.0277184604,0.0,275195.71,2,518.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,7
+2020-01-09,浙江秀舟热电有限公司,10.1125,50.3791666666667,38.2812,7922.72,504058.6606255746,3971350.1007676343,45457.61523725261,334969.21125,2,512.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,8
+2020-01-10,浙江秀舟热电有限公司,10.1875,50.5791666666667,47.7592,9443.39,525139.2087413853,5456827.23587336,369.64280296202594,348866.269583333,2,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,9
+2020-01-11,浙江秀舟热电有限公司,11.1291666666667,49.5625,44.1606,8634.70999999999,470372.7393694899,4111288.2498364253,0.0,322081.264166667,2,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,10
+2020-01-12,浙江秀舟热电有限公司,10.1625,50.8208333333333,42.1601,8587.83,494757.9513268728,5492900.109023352,483.04413114654676,342175.597083333,2,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,11
+2020-01-13,浙江秀舟热电有限公司,9.97916666666667,50.7166666666667,46.6796,9235.36,500973.2030544025,6918871.220049276,3525.497558440522,332875.3625,2,599.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,12
+2020-01-14,浙江秀舟热电有限公司,10.9083333333333,49.9291666666667,46.6796,9235.36,488726.2962826798,5494343.73929864,349.50629054780325,329198.95125,2,599.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,13
+2020-01-15,浙江秀舟热电有限公司,10.3083333333333,50.4458333333333,43.0038,8517.51,495485.6465391458,5023685.580274399,116.63974730204026,330115.229166667,2,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,14
+2020-01-16,浙江秀舟热电有限公司,10.6333333333333,50.0916666666667,45.1976,8930.64,489713.7768850308,4618478.657213335,74044.07212811874,328620.043333333,2,589.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,15
+2020-01-17,浙江秀舟热电有限公司,11.0583333333333,49.6416666666667,42.8788,8488.20999999999,467036.214336476,4204225.828075418,0.0,321591.515416667,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,16
+2020-01-18,浙江秀舟热电有限公司,17.6541666666667,26.5,42.7997,8233.29999999999,173181.7327322611,590614.577082696,0.0,111841.8375,2,498.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,17
+2020-02-12,浙江秀舟热电有限公司,18.3666666666667,42.4375,13.3632,3035.48,320994.0106349465,680550.5340626702,359416.02099882654,149156.174166667,2,215.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,42
+2020-02-13,浙江秀舟热电有限公司,17.9375,44.15,12.4765,2994.46,302765.8303081722,914390.0989278905,42179.59386949743,139848.908333333,2,205.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,43
+2020-02-15,浙江秀舟热电有限公司,19.5208333333333,40.2083333333333,14.9609,3387.08,377865.601072843,1165796.751018965,189411.45764961618,187403.291666667,2,232.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,45
+2020-02-16,浙江秀舟热电有限公司,16.1916666666667,42.3541666666667,14.1992,3278.67,362786.18578335806,1528746.975686154,64550.43266574995,195522.51875,2,213.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,46
+2020-02-17,浙江秀舟热电有限公司,17.4541666666667,40.1041666666667,19.8398,4019.96,393417.334427248,970513.5374701794,80212.78596971487,209495.350416667,2,260.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,47
+2020-02-18,浙江秀舟热电有限公司,16.8875,41.4375,21.1601,4383.28,425565.3331604757,1947475.8960433013,127446.44469478585,227402.437083333,2,273.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,48
+2020-02-19,浙江秀舟热电有限公司,17.1208333333333,40.3583333333333,20.6796,4236.78,418485.51001053874,1517622.5301279807,204699.29076320044,222462.9875,2,269.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,49
+2020-02-20,浙江秀舟热电有限公司,16.3291666666667,43.075,17.2421,3269.88,373908.80510688206,1667579.7647153356,451140.580516834,194713.905,2,245.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,50
+2020-02-21,浙江秀舟热电有限公司,13.3166666666667,48.45,18.5195,3923.27,308918.0967558003,2303761.8734273356,565255.6831428932,170977.730833333,2,252.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,51
+2020-02-22,浙江秀舟热电有限公司,13.4291666666667,47.2291666666667,21.5195,4441.88,378448.59074813337,3059087.8963582674,90377.9905988312,207238.189583333,2,273.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,52
+2020-02-23,浙江秀舟热电有限公司,14.6708333333333,44.0916666666667,25.1601,5663.69,373901.7053035939,1726160.5186681745,5991.557276898502,197907.697916667,2,363.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,53
+2020-02-24,浙江秀舟热电有限公司,13.5375,46.5666666666667,21.9218,4843.29,354412.5046406461,1826577.4345617683,2899.362133795703,193033.228333333,2,326.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,54
+2020-02-25,浙江秀舟热电有限公司,12.7916666666667,47.5875,19.6367,5013.22999999999,336666.41470163123,1974031.516304382,14771.597733841534,196385.324583333,2,328.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,55
+2020-02-26,浙江秀舟热电有限公司,12.1458333333333,47.275,24.0429,5441.01,368996.73895090236,2202588.226692985,5384.567797907694,215572.460416667,2,341.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,56
+2020-02-27,浙江秀舟热电有限公司,13.3916666666667,46.8916666666667,26.7187,5848.28,404905.268656842,2964288.5676240474,66097.27814832793,221838.990833333,2,384.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,57
+2020-02-28,浙江秀舟热电有限公司,13.7,48.3916666666667,22.2812,5596.3,430822.73805764207,3962237.089864766,126094.45991931015,232682.15625,2,383.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,58
+2020-03-01,浙江秀舟热电有限公司,12.6958333333333,48.9666666666667,39.7617,8013.55,489037.92000970495,2653697.4964728695,70959.21519963731,277269.359583333,2,493.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,60
+2020-03-02,浙江秀舟热电有限公司,12.3958333333333,48.7875,40.3984,8171.77,497349.52553657326,3154982.5688126683,128998.84403741271,267862.999583333,2,526.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,61
+2020-03-05,浙江秀舟热电有限公司,10.4875,50.0208333333333,42.9183,8889.62,577034.1945324444,5189559.091469011,146056.25475499468,333193.726666667,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,64
+2020-03-06,浙江秀舟热电有限公司,10.2,50.5166666666667,43.082,8828.09,578174.2166976766,4457658.918133598,18598.932308384377,325002.78875,2,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,65
+2020-03-07,浙江秀舟热电有限公司,10.4208333333333,50.9833333333333,43.4398,8857.39,549894.9456146945,4527087.447742081,16469.95864004888,317625.434583333,2,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,66
+2020-03-08,浙江秀舟热电有限公司,10.4125,51.1708333333333,41.1571,8488.20999999999,573295.7969060533,4816015.532475672,11697.502863499414,335157.800833333,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,67
+2020-03-09,浙江秀舟热电有限公司,10.2416666666667,51.575,44.0834,8819.29999999999,573524.1221453948,4022160.208982611,6155.686203666646,329862.615416667,2,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,68
+2020-03-10,浙江秀舟热电有限公司,10.7875,50.6875,44.3583,8983.37999999999,556110.7996091762,4602599.91332223,81082.25473579078,334768.864166667,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,69
+2020-03-11,浙江秀舟热电有限公司,10.1583333333333,51.5791666666667,43.3583,8892.54999999999,581535.0444546897,4302040.311300634,4318.907395588817,331520.385,2,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,70
+2020-03-12,浙江秀舟热电有限公司,10.6375,51.1708333333333,45.203,9109.37,593488.786331409,4296184.826977895,65374.266391641984,337773.715,2,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,71
+2020-03-13,浙江秀舟热电有限公司,10.15,51.8416666666667,43.7181,8722.61,585384.9211890311,4779330.159438503,0.0,340407.7925,2,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,72
+2020-03-14,浙江秀舟热电有限公司,10.9458333333333,50.2208333333333,45.9584,9422.87999999999,543665.7188873331,5395562.456592729,0.0,323029.192083333,2,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,73
+2020-03-15,浙江秀舟热电有限公司,11.925,48.5583333333333,33.6005,7779.15,499242.96385375777,4965713.226106464,103.19201402515061,290350.97375,2,469.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,74
+2020-03-16,浙江秀舟热电有限公司,11.7375,49.1375,26.6796,6624.73,478403.5145648761,3464314.5859426563,0.0,278214.688333333,2,406.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,75
+2020-03-17,浙江秀舟热电有限公司,11.2416666666667,50.3541666666667,25.2812,6867.92,557431.0066645545,4353995.602189912,0.0,325800.637916667,2,403.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,76
+2020-03-18,浙江秀舟热电有限公司,11.85,49.8166666666667,41.6015,9041.98,642741.9774652761,6259999.692639274,16989.373479204765,383919.9925,2,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,77
+2020-03-19,浙江秀舟热电有限公司,12.2541666666667,49.3458333333333,43.3593,8951.15,665363.1010409617,5981885.798008229,193142.84380238288,394765.349166667,2,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,78
+2020-03-20,浙江秀舟热电有限公司,13.1125,48.5208333333333,43.5195,9320.33,600514.3044025714,5268619.68832269,185757.6084005174,391171.045416667,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,79
+2020-03-21,浙江秀舟热电有限公司,13.2083333333333,50.6166666666667,42.5585,9361.35,373262.67266012327,4543854.035049055,1832718.5603112779,329171.756666667,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,80
+2020-03-22,浙江秀舟热电有限公司,14.0208333333333,50.2083333333333,43.3593,9293.95999999999,371626.3152897466,4408796.2824324835,2979587.979225752,344480.172916667,2,577.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,81
+2020-03-23,浙江秀舟热电有限公司,15.2208333333333,46.4458333333333,35.9218,8083.89,356162.0244899525,4043342.7072358374,904192.7258033814,323860.815416667,2,489.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,82
+2020-03-24,浙江秀舟热电有限公司,15.45,46.25,27.5585,6832.76,363462.97969118156,3261101.865114883,114077.1082453533,320597.738333333,2,416.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,83
+2020-03-25,浙江秀舟热电有限公司,12.225,52.5625,26.3632,6610.08,259309.49364877198,3046354.1424023663,86793.99004551205,218228.540416667,2,403.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,84
+2020-03-26,浙江秀舟热电有限公司,11.9958333333333,54.125,26.6367,6457.72,250035.6045768721,2842261.6109168287,109593.0271757358,220759.809166667,2,390.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,85
+2020-03-27,浙江秀舟热电有限公司,12.3041666666667,52.3083333333333,25.121,6188.16,234645.5792190706,2721828.764784906,10941.633524747429,213325.084583333,2,386.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,86
+2020-03-28,浙江秀舟热电有限公司,11.8083333333333,52.3416666666667,24.6015,5903.95,268831.3199785303,2763447.071851419,305897.57887614187,229891.64375,2,378.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,87
+2020-03-29,浙江秀舟热电有限公司,11.2041666666667,52.5875,37.5976,7705.9,271361.09375855036,3032440.139781578,117284.54614786386,228861.683333333,2,480.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,88
+2020-03-30,浙江秀舟热电有限公司,10.4125,53.6041666666667,38.8398,7887.56,281943.2146329598,2960296.7699394156,522162.7836678739,235187.068333333,2,485.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,89
+2020-03-31,浙江秀舟热电有限公司,10.4291666666667,53.4041666666667,39.4023,8423.75,282472.0644606563,3351034.0120990155,637038.4798681509,234253.174166667,2,509.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,90
+2020-04-01,浙江秀舟热电有限公司,10.9541666666667,53.1333333333333,38.3984,8012.55,268717.4922015636,3207235.9998420184,576052.5863597909,229114.641666667,2,478.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,91
+2020-04-02,浙江秀舟热电有限公司,10.4166666666667,53.125,35.4414,7802.59,295302.92828684504,3211049.476722284,740582.2077849278,241251.870416667,2,477.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,92
+2020-04-03,浙江秀舟热电有限公司,12.4083333333333,50.6416666666667,41.8007,8869.11,240506.41086838863,2553812.844460217,734957.2698886432,195156.530416667,2,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,93
+2020-04-04,浙江秀舟热电有限公司,10.9958333333333,53.2958333333333,23.9164,5628.53,276897.8023592303,3859677.067826354,985156.0497749931,221949.694166667,2,383.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,94
+2020-04-05,浙江秀舟热电有限公司,10.975,53.35,41.1601,8538.02,282026.90794880723,3439305.565984974,1292151.7111957786,224460.102916667,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,95
+2020-04-06,浙江秀舟热电有限公司,10.7916666666667,53.5583333333333,39.5614,8221.58,301544.9599428168,3714528.1844826313,1029259.2329983918,234589.919166667,2,532.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,96
+2020-04-07,浙江秀舟热电有限公司,10.5458333333333,54.1041666666667,42.3193,8661.08,308257.1261732356,3250123.525269176,1473215.973007157,236732.1475,2,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,97
+2020-04-08,浙江秀舟热电有限公司,10.2125,54.4625,42.4819,8760.7,309804.5727693526,3682150.1032175184,811995.0755674854,235277.29625,2,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,98
+2020-04-09,浙江秀舟热电有限公司,10.6416666666667,54.4125,42.0004,8901.34,291932.9159015438,3094959.1464193123,663575.0039821723,220851.546666667,2,554.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,99
+2020-04-10,浙江秀舟热电有限公司,10.525,54.9666666666667,42.1166,8766.56,289242.8352219618,2825364.7595485775,1007019.8956007843,226606.741666667,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,100
+2020-04-11,浙江秀舟热电有限公司,11.6541666666667,53.6416666666667,43.4414,9475.62,267184.4232841227,3011957.7227835297,947651.0304541991,214030.320416667,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,101
+2020-04-12,浙江秀舟热电有限公司,12.2875,52.125,30.0781,6999.77,271022.17456780083,2611105.9022801006,553257.5434862985,208499.83375,2,427.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,102
+2020-04-13,浙江秀舟热电有限公司,11.15,53.125,27.3632,6818.11,300601.78745790303,3218727.971896964,948706.6297729627,229178.172916667,2,415.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,103
+2020-04-14,浙江秀舟热电有限公司,10.3208333333333,54.05,43.1992,9402.37,333742.9330951413,3728454.6874723225,716463.7252029442,248074.960833333,2,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,104
+2020-04-15,浙江秀舟热电有限公司,10.0708333333333,54.3416666666667,43.2401,9056.62999999999,309691.27196792804,3039110.326198536,785647.4746089027,237878.56,2,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,105
+2020-04-16,浙江秀舟热电有限公司,10.7958333333333,54.3583333333333,43.8397,8828.09,289149.89893150213,3048206.3751768447,931193.7516857702,223490.1875,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,106
+2020-04-17,浙江秀舟热电有限公司,10.4666666666667,54.8875,40.4414,7471.5,297889.1802339661,3633301.801020123,829636.0493317798,234027.153333333,2,506.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,107
+2020-04-18,浙江秀舟热电有限公司,10.2625,54.8458333333333,41.8378,8397.37999999999,308516.4842740193,3465476.4384293137,849572.741246576,236138.004583333,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,108
+2020-04-20,浙江秀舟热电有限公司,12.1583333333333,26.4916666666667,26.3203,5918.6,34885.180351375304,393466.76345705107,40536.638745873075,25846.8775,2,387.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,110
+2020-04-21,浙江秀舟热电有限公司,11.5875,53.3125,14.9218,4749.53,61039.20145269704,653568.195259314,191050.050509252,50444.2804166667,2,324.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,111
+2020-04-22,浙江秀舟热电有限公司,11.3958333333333,53.0958333333333,20.5976,5821.91,63273.571965464056,586122.8011252073,97362.05054222555,51628.4870833333,2,397.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,112
+2020-04-23,浙江秀舟热电有限公司,11.9916666666667,52.7291666666667,14.4414,4849.14999999999,63006.38494928189,548712.5412622541,43108.689190710924,51046.1279166667,2,340.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,113
+2020-04-24,浙江秀舟热电有限公司,11.6041666666667,51.2083333333333,14.0,4620.60999999999,65670.85326821577,630830.2766333668,112149.511818307,55331.3345833333,2,340.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,114
+2020-04-25,浙江秀舟热电有限公司,11.9041666666667,52.025,14.2773,5238.84,282212.1097577878,2440093.7364351526,439990.63797971973,231302.52125,2,353.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,115
+2020-04-26,浙江秀舟热电有限公司,12.7791666666667,52.4541666666667,25.0,6273.13,62296.04010906699,484075.5070711379,18783.715456858597,50993.31875,2,426.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,116
+2020-04-27,浙江秀舟热电有限公司,11.9916666666667,52.8458333333333,17.121,4863.8,61229.90341598254,549428.3633829259,140617.40128016862,49399.96375,2,340.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,117
+2020-04-28,浙江秀舟热电有限公司,11.75,53.0333333333333,25.6796,6577.85,63708.60184681649,472330.3197746186,63967.8609427746,49308.54375,2,426.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,118
+2020-04-29,浙江秀舟热电有限公司,10.975,54.5166666666667,27.121,6982.19,69994.92734595168,667487.2355356946,203935.60720187522,53505.9354166667,2,458.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,119
+2020-04-30,浙江秀舟热电有限公司,10.4458333333333,55.7041666666667,41.2416,9056.62999999999,62995.42782207478,679982.545431865,324258.26588203653,50653.88125,2,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,120
+2020-05-01,浙江秀舟热电有限公司,10.825,55.7083333333333,43.2782,8848.6,58042.77358442051,553735.741144927,338822.1860763742,48028.2245833333,2,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,121
+2020-05-02,浙江秀舟热电有限公司,10.8041666666667,55.8458333333333,41.5195,7811.38,57834.92154677289,573084.5194076858,281734.63801656954,48000.5354166667,2,506.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,122
+2020-05-03,浙江秀舟热电有限公司,10.775,55.7458333333333,41.8007,7875.84,57637.05451396938,556088.5877860938,269716.4069633472,48606.88,2,516.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,123
+2020-05-04,浙江秀舟热电有限公司,10.6208333333333,56.3708333333333,40.5976,7304.49,57058.64916731364,639111.8148064653,292719.0285995161,47985.4916666667,2,491.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,124
+2020-05-05,浙江秀舟热电有限公司,10.6166666666667,56.025,42.6015,8025.27,58537.63486196838,684216.5864542911,405649.8971073894,48736.74375,2,515.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,125
+2020-05-06,浙江秀舟热电有限公司,10.7208333333333,55.775,42.0814,8561.45999999999,60934.615453244114,789816.0770918822,359863.7142042823,49772.67,2,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,126
+2020-05-07,浙江秀舟热电有限公司,10.5333333333333,56.325,43.0394,8646.43,60664.304848608896,763800.3189735163,447962.10866022867,47881.0341666667,2,552.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,127
+2020-05-08,浙江秀舟热电有限公司,11.0541666666667,56.2208333333333,41.6796,8567.32,59794.29091069494,614153.6957569916,283775.3888998451,47530.9254166667,2,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,128
+2020-05-09,浙江秀舟热电有限公司,10.8583333333333,55.9291666666667,35.6796,7623.86,57671.8823997704,674737.3256225559,322756.02633296855,48720.5079166667,2,495.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,129
+2020-05-10,浙江秀舟热电有限公司,10.6583333333333,55.9041666666667,41.3203,8069.22,65186.080665976086,817150.2886384171,233636.8769247521,52712.50875,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,130
+2020-05-11,浙江秀舟热电有限公司,10.8791666666667,55.9041666666667,41.4403,8362.21999999999,60369.80451932258,740053.5287685952,248196.07556790722,47148.6304166667,2,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,131
+2020-05-12,浙江秀舟热电有限公司,10.8083333333333,54.3916666666667,37.3993,7612.14,61570.420112964675,681136.6434981963,233940.69509879677,48165.8054166667,2,520.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,132
+2020-05-13,浙江秀舟热电有限公司,10.6,56.225,43.5195,8810.51,62605.742806179245,726257.7555337076,142731.26023534455,47212.94,2,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,133
+2020-05-14,浙江秀舟热电有限公司,10.9791666666667,56.8333333333333,43.5195,8819.29999999999,67089.9812515504,804430.7410561567,190354.372568095,50085.0133333333,2,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,134
+2020-05-15,浙江秀舟热电有限公司,11.6625,56.5625,43.121,8707.95999999999,59618.14812745029,717254.7828497782,73480.21281492939,46428.00125,2,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,135
+2020-05-16,浙江秀舟热电有限公司,11.2458333333333,57.1708333333333,31.039,6372.75,69584.20059330139,946579.6188224371,86333.54013167291,53766.44375,2,487.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,136
+2020-05-17,浙江秀舟热电有限公司,11.1,57.625,40.6015,8013.55,62293.297701234165,672886.963694738,136355.6857079175,47955.41625,2,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,137
+2020-05-18,浙江秀舟热电有限公司,10.8666666666667,56.625,43.3984,8069.22,61496.7807434045,664421.0506109847,153457.70898938796,48225.6654166667,2,572.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,138
+2020-05-19,浙江秀舟热电有限公司,11.4333333333333,54.8625,43.8398,8491.14,69853.09705383451,764759.8591614858,218971.85702446153,53156.1466666667,2,597.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,139
+2020-05-20,浙江秀舟热电有限公司,13.0708333333333,53.0666666666667,38.8828,7828.96,76560.8574967982,595978.2362426393,128971.1051176003,57468.8825,2,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,140
+2020-05-21,浙江秀舟热电有限公司,12.2625,55.2791666666667,36.7187,7163.85,102076.86800285811,987700.6018693363,204599.71563975548,75357.565,2,532.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,141
+2020-05-22,浙江秀舟热电有限公司,12.05,55.3166666666667,45.3593,8886.69,172019.93928259867,1750634.7006471057,245217.1174188917,125842.76375,2,611.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,142
+2020-05-23,浙江秀舟热电有限公司,11.9458333333333,55.6416666666667,44.3603,8880.83,91512.45132459258,852652.0131416682,109515.65558517899,66203.8291666667,2,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,143
+2020-05-24,浙江秀舟热电有限公司,12.0333333333333,55.7916666666667,43.7578,8584.9,100497.36814890854,970270.8441186064,131793.94915756478,73682.4266666667,2,601.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,144
+2020-05-25,浙江秀舟热电有限公司,11.7291666666667,55.1958333333333,42.2031,8139.54,210814.3011455611,2550151.4431760176,295507.5267246418,159907.911666667,2,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,145
+2020-05-26,浙江秀舟热电有限公司,13.0291666666667,52.525,41.4794,8124.89,108291.53850645054,918501.4199632478,55814.94656389815,83412.165,2,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,146
+2020-05-27,浙江秀舟热电有限公司,14.5083333333333,49.3458333333333,40.5195,6812.25,540702.6201657233,3925820.7927699164,642011.6863634385,409972.78125,2,520.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,147
+2020-05-28,浙江秀舟热电有限公司,14.7083333333333,49.2291666666667,40.5976,7817.24,676312.8862078594,3830141.5087985224,1460634.2184430608,507561.584583333,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,148
+2020-05-29,浙江秀舟热电有限公司,14.4333333333333,49.8875,41.0,8511.65,657342.284491375,4382396.8377411915,858610.2561923508,512757.22125,2,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,149
+2020-05-30,浙江秀舟热电有限公司,14.85,49.2166666666667,44.5625,9003.89,693142.1685416354,4238117.997545718,534498.4728704996,534395.497083333,2,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,150
+2020-05-31,浙江秀舟热电有限公司,14.7291666666667,49.9416666666667,44.6406,8860.32,649846.0340838404,4735895.166704097,599107.8469269762,510234.8725,2,605.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,151
+2020-06-01,浙江秀舟热电有限公司,14.7416666666667,50.3416666666667,44.8789,8734.33,643258.7309894436,4571536.553325795,497434.4957789288,501922.877916667,2,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,152
+2020-06-02,浙江秀舟热电有限公司,14.675,50.3875,44.0,8801.71999999999,596001.9878575122,4291575.838909895,258921.71858396917,487148.425,2,608.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,153
+2020-06-03,浙江秀舟热电有限公司,15.1375,50.2125,42.4789,8300.69,570619.0652736275,4667810.310155447,22123.614221763106,481302.704583333,2,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,154
+2020-06-04,浙江秀舟热电有限公司,15.0583333333333,49.9833333333333,42.3203,7881.7,491530.6628635632,3690742.6476797992,311322.35165820265,415414.72625,2,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,155
+2020-06-05,浙江秀舟热电有限公司,16.0,47.9875,40.2421,7664.88,269078.42310708837,1182841.2759793142,88384.6172527381,229644.760416667,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,156
+2020-06-06,浙江秀舟热电有限公司,15.3,48.1416666666667,28.2812,6056.31,292896.0208083312,1330397.8253366642,175203.4556081448,250167.944166667,2,465.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,157
+2020-06-07,浙江秀舟热电有限公司,15.3,48.1791666666667,43.039,8877.9,324952.67262383853,1541870.3875461414,184842.46537863175,268048.12625,2,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,158
+2020-06-08,浙江秀舟热电有限公司,15.7291666666667,48.0541666666667,41.9609,8265.53,303983.189227216,1130573.3965291234,9267.220679731005,257764.954583333,2,572.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,159
+2020-06-09,浙江秀舟热电有限公司,15.3833333333333,48.8416666666667,35.6406,7635.58,307031.1654019252,1771767.2542651277,8118.612546685502,259811.781666667,2,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,160
+2020-06-10,浙江秀舟热电有限公司,15.4833333333333,49.1583333333333,37.6328,8121.96,260631.18048107345,1822046.0039165604,1269.4364954938014,223654.58,2,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,161
+2020-06-11,浙江秀舟热电有限公司,15.1083333333333,49.8916666666667,37.2031,7773.29,289740.6720327639,2045705.947047804,67612.0030681786,247767.13,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,162
+2020-06-12,浙江秀舟热电有限公司,15.3541666666667,49.6,43.3593,8233.29999999999,315421.8945692835,1821191.6197029743,190.8755791644599,269402.836666667,2,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,163
+2020-06-13,浙江秀舟热电有限公司,15.2666666666667,49.7791666666667,44.5234,8247.95,328842.62935102225,1742612.153774623,195.2167582968284,275683.025416667,2,576.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,164
+2020-06-14,浙江秀舟热电有限公司,15.4625,49.675,43.2812,8186.42,300673.6642624965,1964290.4450726826,269.581886666913,253718.53875,2,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,165
+2020-06-15,浙江秀舟热电有限公司,15.1416666666667,49.6541666666667,42.5156,7899.28,318423.99153828213,2131880.407957745,192.63399367106348,271930.32375,2,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,166
+2020-06-16,浙江秀舟热电有限公司,14.9958333333333,49.4416666666667,43.3984,8593.69,308619.66216957354,1865007.6311519404,96.02354143420172,270923.267916667,2,608.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,167
+2020-06-17,浙江秀舟热电有限公司,15.325,49.3958333333333,44.3984,8766.56,290878.7747407328,1909229.9521785378,728.3349602271786,256831.340833333,2,605.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,168
+2020-06-18,浙江秀舟热电有限公司,15.8875,48.1833333333333,41.4062,7653.16,280930.2799574945,1832701.8326727997,96009.65347884035,249377.962083333,2,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,169
+2020-06-19,浙江秀舟热电有限公司,15.5125,47.7291666666667,37.5156,7462.71,312721.49145174003,1956906.506275002,4539.047955755507,265386.861666667,2,543.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,170
+2020-06-20,浙江秀舟热电有限公司,14.825,48.3041666666667,40.9218,8165.91,326572.57504591387,2438006.4481132207,8616.690634456847,269173.175416667,2,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,171
+2020-06-21,浙江秀舟热电有限公司,14.7416666666667,48.7958333333333,43.4765,9115.23,332152.12516178936,2287736.1168006896,6616.194179031038,269995.793333333,2,635.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,172
+2020-06-22,浙江秀舟热电有限公司,14.6291666666667,49.3083333333333,44.8437,9135.74,333523.71965713083,2191335.7631685613,35224.58266054783,272171.066666667,2,633.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,173
+2020-06-23,浙江秀舟热电有限公司,15.0166666666667,49.5958333333333,42.7992,9006.82,317200.1369080342,2254639.436423752,44411.6298687403,254804.909583333,2,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,174
+2020-06-24,浙江秀舟热电有限公司,14.1625,51.3833333333333,40.9615,8095.59,176228.39496577415,1433500.7383312322,1880.0334106399234,140429.365,2,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,175
+2020-06-25,浙江秀舟热电有限公司,13.6708333333333,52.4833333333333,38.8374,7755.71,72175.11239992412,647278.2799436635,16844.79066632211,55979.7533333333,2,545.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,176
+2020-06-26,浙江秀舟热电有限公司,13.2375,53.2833333333333,42.6406,7957.88,75256.02697157575,506515.7743988782,7098.473895427027,58070.0075,2,559.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,177
+2020-06-27,浙江秀舟热电有限公司,14.1291666666667,53.125,42.4375,8080.94,113617.54094937707,873931.789917302,9900.913752872753,86668.0845833333,2,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,178
+2020-06-28,浙江秀舟热电有限公司,12.2916666666667,53.7708333333333,45.2421,8854.45999999999,75919.00740088087,525048.5116674197,8142.664520663499,61756.9595833333,2,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,179
+2020-06-29,浙江秀舟热电有限公司,12.35,53.4666666666667,45.125,8696.24,82868.5972326539,562437.3436128887,9660.412115926983,68477.34,2,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,180
+2020-06-30,浙江秀舟热电有限公司,13.0208333333333,51.925,45.2734,8842.74,203562.5899982911,1140944.9996688634,26182.7675791343,159746.072916667,2,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,181
+2020-07-01,浙江秀舟热电有限公司,12.6833333333333,52.1166666666667,45.6015,8948.21999999999,184665.80886927916,986017.9539715317,13168.196365187228,147485.47125,2,608.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,182
+2020-07-02,浙江秀舟热电有限公司,11.9958333333333,52.9125,44.4843,8930.64,137765.5518358317,1048088.2176559,56215.58354466119,112187.105,2,589.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,183
+2020-07-03,浙江秀舟热电有限公司,12.3083333333333,52.4791666666667,39.5937,7975.46,99361.65324972727,770903.6997712273,13810.663057100777,82286.2475,2,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,184
+2020-07-04,浙江秀舟热电有限公司,12.0458333333333,52.4416666666667,41.4453,8511.65,125083.91321112563,834528.5534841394,20532.978071925914,101336.69,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,185
+2020-07-05,浙江秀舟热电有限公司,12.6833333333333,52.7583333333333,43.1953,7823.1,113758.85252571963,693856.8621767253,21923.749080639107,89402.695,2,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,186
+2020-07-06,浙江秀舟热电有限公司,12.1833333333333,53.5375,44.6406,8529.23,137144.15476729395,1152315.4142047027,35301.08588993658,107416.986666667,2,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,187
+2020-07-07,浙江秀舟热电有限公司,14.2166666666667,51.875,45.2812,9074.20999999999,91409.89653700792,371111.726928412,15662.05720073441,68077.685,2,592.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,188
+2020-07-08,浙江秀舟热电有限公司,13.1583333333333,52.325,24.3203,6147.14,113039.83848459658,492060.6632157263,16467.01828042769,84613.58,2,423.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,189
+2020-07-09,浙江秀舟热电有限公司,12.3375,52.9958333333333,42.8437,8042.85,128667.29203483167,767534.0053894309,84003.94404395555,97328.74125,2,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,190
+2020-07-10,浙江秀舟热电有限公司,12.3791666666667,52.7041666666667,44.3593,8634.70999999999,116185.20489196932,619202.3312796333,42269.28406545947,90101.9579166666,2,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,191
+2020-07-11,浙江秀舟热电有限公司,12.8041666666667,53.625,44.3203,8409.1,189203.730919033,861683.6212548908,41621.00236160353,136415.243333333,2,564.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,192
+2020-07-12,浙江秀舟热电有限公司,14.4791666666667,53.3708333333333,44.6796,8980.45,146533.51932047072,656414.3240664346,27921.24463655852,100933.76,2,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,193
+2020-07-13,浙江秀舟热电有限公司,11.5666666666667,52.9458333333333,43.7578,8230.37,122574.10506308402,758438.048558481,63404.27568533721,106876.21125,2,552.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,194
+2020-07-14,浙江秀舟热电有限公司,12.0208333333333,52.8666666666667,45.0,8866.18,159760.1615570221,1090271.4007358816,226934.55867090213,126013.64,2,577.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,195
+2020-07-15,浙江秀舟热电有限公司,12.0083333333333,52.0208333333333,44.5625,8792.93,135853.44545643602,799079.0328904035,356993.8962306844,105047.945,2,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,196
+2020-07-16,浙江秀舟热电有限公司,11.7958333333333,52.4333333333333,45.039,8939.43,158477.75536759448,978610.6151851778,493158.30325785826,119323.573333333,2,584.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,197
+2020-07-17,浙江秀舟热电有限公司,12.1291666666667,54.1416666666667,44.2812,9039.04999999999,204980.2436299577,1235968.4385575892,661399.4510831601,148925.5025,2,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,198
+2020-07-18,浙江秀舟热电有限公司,12.7416666666667,52.9083333333333,36.3203,7415.83,118631.90279627204,725230.5519985784,217362.0503059022,88818.4966666667,2,496.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,199
+2020-07-19,浙江秀舟热电有限公司,12.6875,51.9916666666667,39.8359,8101.45,129799.94502507582,900649.8936234305,424300.1978557036,99546.1429166667,2,551.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,200
+2020-07-20,浙江秀舟热电有限公司,12.2166666666667,52.0541666666667,42.2812,8119.03,189508.4195629817,1263821.7830141552,1062996.7710322887,144663.4525,2,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,201
+2020-07-21,浙江秀舟热电有限公司,13.4666666666667,50.8166666666667,44.8828,9071.28,243526.76196792428,1563828.1358961845,954142.6500313693,183663.19125,2,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,202
+2020-07-22,浙江秀舟热电有限公司,14.6375,49.3208333333333,36.5937,7919.79,351612.3599060641,2805437.859524483,204564.16104124024,266364.843333333,2,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,203
+2020-07-23,浙江秀舟热电有限公司,15.1333333333333,49.1083333333333,36.3203,7779.15,224636.87162944608,660733.8246458456,224100.74544417247,167897.3725,2,512.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,204
+2020-07-24,浙江秀舟热电有限公司,14.0125,48.4208333333333,37.2031,6747.79,83601.56123999666,311920.4507246389,49779.610832541555,58286.7641666667,2,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,205
+2020-07-25,浙江秀舟热电有限公司,13.7916666666667,47.8583333333333,44.8359,8699.17,85830.91296454986,332930.47774583765,39140.92631125444,59368.4120833333,2,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,206
+2020-07-26,浙江秀舟热电有限公司,14.1083333333333,47.9625,36.5234,7099.39,86787.43499778419,282402.10895327496,33232.77116993702,59638.1191666667,2,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,207
+2020-07-27,浙江秀舟热电有限公司,14.4083333333333,48.3291666666667,38.9218,6982.19,85542.35054675229,250497.2223127116,31358.470584094117,59534.3191666667,2,498.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,208
+2020-07-28,浙江秀舟热电有限公司,13.8083333333333,49.3625,36.4375,6320.01,86670.57279721153,323976.1026273445,64147.90229168005,58824.4766666667,2,476.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,209
+2020-07-29,浙江秀舟热电有限公司,13.6125,49.5708333333333,45.3203,8637.64,88076.31756623177,330931.7490574783,166547.7337870368,59063.9854166667,2,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,210
+2020-07-30,浙江秀舟热电有限公司,14.0291666666667,48.875,43.5234,8218.65,88575.15007548656,190068.92628602256,188328.4500885218,59853.405,2,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,211
+2020-07-31,浙江秀舟热电有限公司,14.7,48.3416666666667,29.3593,6372.75,88482.22352672751,144079.04813236799,169827.41753490374,59548.6695833333,2,456.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,212
+2020-08-01,浙江秀舟热电有限公司,14.0208333333333,49.3166666666667,27.5546,5786.75,87551.94319391169,160109.88582081994,166089.95896652437,58847.8366666667,2,450.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,213
+2020-08-02,浙江秀舟热电有限公司,13.8833333333333,49.3791666666667,42.3593,7887.56,88640.38964762098,287179.45036046876,164701.17512532603,58750.8879166667,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,214
+2020-08-03,浙江秀舟热电有限公司,13.9625,49.1625,42.7265,7922.72,91308.73124465036,315975.6108139665,142701.0772457377,58606.0420833333,2,545.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,215
+2020-08-04,浙江秀舟热电有限公司,13.1708333333333,50.7708333333333,43.875,8063.36,92265.1792546581,288239.9881461438,245067.3449418386,57436.2591666667,2,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,216
+2020-08-05,浙江秀舟热电有限公司,12.25,52.6458333333333,44.9218,8596.62,103152.6081071144,578082.8456133335,372075.6214370634,56232.9241666667,2,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,217
+2020-08-06,浙江秀舟热电有限公司,12.4541666666667,52.3458333333333,44.7578,8628.85,106325.00223082997,482682.770172344,416935.34952889394,56832.5204166667,2,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,218
+2020-08-07,浙江秀舟热电有限公司,12.875,52.0833333333333,39.3593,7445.13,109552.15741400773,358125.6207315045,772170.8750694524,57168.5116666667,2,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,219
+2020-08-08,浙江秀舟热电有限公司,12.4083333333333,52.0833333333333,28.9609,6328.8,124062.69490063828,129588.1594468021,308084.68804678496,56947.1308333333,2,457.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,220
+2020-08-09,浙江秀舟热电有限公司,12.6291666666667,52.0083333333333,26.1181,6194.02,35929.688574551976,98569.18300578033,275113.6053764773,56988.2195833333,2,465.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,221
+2020-08-10,浙江秀舟热电有限公司,12.9375,52.1125,28.1635,5754.52,36349.35588238322,88932.6188017029,234636.79641011084,57036.125,2,446.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,222
+2020-08-11,浙江秀舟热电有限公司,12.7208333333333,51.9666666666667,27.5234,5953.76,36901.74502189604,147957.0838844114,240525.33260182373,57214.1983333333,2,438.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,223
+2020-08-12,浙江秀舟热电有限公司,12.625,51.6375,28.039,6020.81,36866.18120437304,302001.327446395,215812.81661982255,57070.0429166667,2,445.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,224
+2020-08-13,浙江秀舟热电有限公司,12.1375,52.5291666666667,39.7968,7864.12,36896.76063708633,522523.1838605563,247501.63449528464,56840.60125,2,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,225
+2020-08-14,浙江秀舟热电有限公司,12.1333333333333,52.7291666666667,44.4765,8798.79,37328.36151008668,465876.25766538567,157650.64405352733,56712.68,2,602.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,226
+2020-08-15,浙江秀舟热电有限公司,12.3291666666667,52.45,45.0859,8564.39,37903.548573575696,395279.57990169653,175075.4578505884,56572.2179166667,2,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,227
+2020-08-16,浙江秀舟热电有限公司,12.5833333333333,51.8375,43.7578,8353.43,38754.91116058027,392105.32370027766,140481.53289089075,57075.93375,2,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,228
+2020-08-17,浙江秀舟热电有限公司,12.0666666666667,52.6,44.2421,7940.3,38854.28541760697,501767.441880047,202962.7771560306,56277.7066666667,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,229
+2020-08-18,浙江秀舟热电有限公司,11.8791666666667,52.3416666666667,44.3203,8558.53,39268.741992952724,468397.63475508185,137470.69565340778,57123.29875,2,573.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,230
+2020-08-19,浙江秀舟热电有限公司,11.625,52.7291666666667,43.3984,8558.53,39035.02774505518,535146.4527028316,186674.6174549057,56475.79375,2,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,231
+2020-08-20,浙江秀舟热电有限公司,11.6,54.0291666666667,43.1562,8262.6,57868.17365115762,714331.1096067523,329296.7617405748,84443.4754166667,2,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,232
+2020-08-21,浙江秀舟热电有限公司,11.8416666666667,53.4333333333333,41.8437,8019.41,75131.0157220669,780327.189087884,14449.73093897398,108329.49375,2,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,233
+2020-08-22,浙江秀舟热电有限公司,12.4333333333333,52.85,30.6406,6536.83,57796.533162543565,278393.8341017726,45615.2010610209,82108.7745833333,2,472.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,234
+2020-08-23,浙江秀舟热电有限公司,12.625,52.2541666666667,26.7578,5936.18,59540.073889412095,330749.90241334174,41270.735321735396,85238.0070833333,2,442.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,235
+2020-08-24,浙江秀舟热电有限公司,12.6416666666667,51.0083333333333,26.3203,5405.85,42958.75588408799,375274.3176586013,30750.814503817193,62362.4345833333,2,423.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,236
+2020-08-25,浙江秀舟热电有限公司,12.0916666666667,51.7,19.9609,3697.66,41102.95741309039,590806.7235883222,31860.503623891167,59010.1875,2,300.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,237
+2020-08-26,浙江秀舟热电有限公司,13.2166666666667,49.8291666666667,20.1171,4101.93,44715.15394056287,503727.6854632203,34237.69629194241,60034.26375,2,330.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,238
+2020-08-27,浙江秀舟热电有限公司,11.8041666666667,52.0833333333333,17.3593,3202.49,82997.58616888388,568605.3162322462,116320.9034046827,110477.305416667,2,309.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,239
+2020-08-28,浙江秀舟热电有限公司,12.0791666666667,53.1916666666667,41.125,7949.09,111883.7320717619,1906813.2046145662,173346.17699276275,150067.142083333,2,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,240
+2020-08-29,浙江秀舟热电有限公司,12.2625,53.0708333333333,41.2343,7960.81,73314.94085141437,858131.1490545804,141380.07987159898,104018.311666667,2,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,241
+2020-08-30,浙江秀舟热电有限公司,12.7583333333333,52.55,44.0468,8584.0,103776.3873149986,1279033.8392445326,245354.13446251117,144345.657916667,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,242
+2020-08-31,浙江秀舟热电有限公司,12.4208333333333,52.6958333333333,45.1562,8816.37,90093.05193491801,1385933.6538526672,264590.46089550003,125676.062083333,2,576.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,243
+2020-09-01,浙江秀舟热电有限公司,12.1958333333333,52.3708333333333,43.8828,8467.7,92101.65621457122,1120253.5704710458,315174.8326095203,131900.7025,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,244
+2020-09-02,浙江秀舟热电有限公司,13.0708333333333,50.9125,41.8359,7773.29,68514.73543194523,599820.3963264422,229270.1570814562,98026.7595833333,2,530.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,245
+2020-09-03,浙江秀舟热电有限公司,12.3833333333333,50.9708333333333,38.3984,7785.01,115061.57914893786,1700359.673634698,516160.24698442774,166672.076666667,2,511.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,246
+2020-09-04,浙江秀舟热电有限公司,12.3333333333333,51.0625,43.6406,8587.83,84239.94753048246,982546.8240917668,269150.676217908,120703.12125,2,552.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,247
+2020-09-05,浙江秀舟热电有限公司,11.9125,51.0708333333333,44.2812,8412.03,84367.05954087,1281968.9422316113,484316.3417994714,125124.512916667,2,554.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,248
+2020-09-06,浙江秀舟热电有限公司,12.3333333333333,50.4333333333333,44.8437,8854.45999999999,113284.26329524291,1282250.1823319288,415375.6320825564,170444.50125,2,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,249
+2020-09-07,浙江秀舟热电有限公司,13.2791666666667,49.2083333333333,41.3203,8177.63,95338.26573454993,851819.3636718119,588293.1809149587,143740.7275,2,539.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,250
+2020-09-08,浙江秀舟热电有限公司,13.0291666666667,50.1666666666667,29.8359,6513.39,58173.58812549424,426117.72385291965,246011.19797648734,86171.55125,2,455.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,251
+2020-09-09,浙江秀舟热电有限公司,12.9166666666667,49.5375,28.9218,5420.5,39227.09540912218,222434.26511109312,114859.79895693048,59425.2395833333,2,422.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,252
+2020-09-10,浙江秀舟热电有限公司,13.4791666666667,49.2791666666667,19.1968,3032.55,39171.28624758589,236168.84752944345,230889.32845726606,57773.6233333333,2,286.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,253
+2020-09-11,浙江秀舟热电有限公司,13.3916666666667,48.6041666666667,18.9609,3193.19,40509.33653426473,591575.7179996767,409972.52632197697,57690.89625,2,288.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,254
+2020-09-12,浙江秀舟热电有限公司,12.775,50.2125,19.8828,4210.41,41583.864165680934,365203.2058736236,695554.7822539975,58048.4970833333,2,326.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,255
+2020-09-13,浙江秀舟热电有限公司,12.4625,51.5458333333333,21.3593,5183.17,101638.05722092894,2304162.9062152947,1100676.824414778,142747.5525,2,361.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,256
+2020-09-14,浙江秀舟热电有限公司,12.2083333333333,52.5916666666667,42.039,8242.09,156850.71131268053,3632299.3221085058,1393344.274434272,220130.97875,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,257
+2020-09-15,浙江秀舟热电有限公司,12.1916666666667,52.9208333333333,43.7578,8781.20999999999,163147.0458462794,3648514.6995537663,1079440.3268535784,227963.733333333,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,258
+2020-09-16,浙江秀舟热电有限公司,12.2,52.8,45.3203,8968.73,164761.02936586816,3090986.7455440224,1509565.074377273,231494.65,2,573.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,259
+2020-09-17,浙江秀舟热电有限公司,12.4041666666667,51.3375,37.7656,7808.45,118830.50107143639,2151393.7060896107,614548.7853918311,167782.424166667,2,517.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,260
+2020-09-18,浙江秀舟热电有限公司,12.4666666666667,49.85,45.3593,8980.45,99806.69323082617,1280997.871671646,158099.07373638795,143196.423333333,2,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,261
+2020-09-19,浙江秀舟热电有限公司,12.9833333333333,49.2875,31.0,6993.91,91378.38445922373,1002269.0431200017,187709.90323310657,130544.090833333,2,502.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,262
+2020-09-20,浙江秀舟热电有限公司,13.6625,47.3458333333333,26.914,6133.7,115165.33846232478,1101442.4812730923,182014.52464431158,165973.476666667,2,435.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,263
+2020-09-21,浙江秀舟热电有限公司,14.1791666666667,47.5,26.3203,6299.5,152307.2379635607,956189.7312506995,173745.7695798863,145929.563333333,2,428.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,264
+2020-09-22,浙江秀舟热电有限公司,14.2291666666667,48.9,27.9609,6674.54,103960.04422035262,891339.3253307864,268654.25822981517,102314.039583333,2,455.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,265
+2020-09-23,浙江秀舟热电有限公司,13.8208333333333,50.4625,28.2031,6586.64,154218.34399029025,1552985.4947977276,711664.7930710288,147414.09,2,456.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,266
+2020-09-24,浙江秀舟热电有限公司,13.7,50.85,43.0781,8790.0,213710.04065365568,2341013.5826817243,1454379.1348778289,206407.820416667,2,564.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,267
+2020-09-25,浙江秀舟热电有限公司,13.75,50.8833333333333,43.6796,9000.95999999999,225397.20893189695,2285198.832717443,1796274.5910715123,219815.824166667,2,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,268
+2020-09-26,浙江秀舟热电有限公司,13.7708333333333,50.7833333333333,44.0,9299.82,223243.48674375625,1955764.8101928239,1537874.2642929628,215131.192916667,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,269
+2020-09-27,浙江秀舟热电有限公司,13.6916666666667,51.1791666666667,43.0,9150.39,244327.28967552385,2257520.4616533327,1270224.2616653675,231639.66,2,589.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,270
+2020-09-28,浙江秀舟热电有限公司,14.0333333333333,50.4291666666667,45.2812,9211.92,208098.5309644803,1464954.0186975524,1099705.9522718699,200932.32375,2,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,271
+2020-09-29,浙江秀舟热电有限公司,13.675,51.0791666666667,44.1171,8423.75,191952.89859900955,1520671.0682696283,1609171.4573079094,190993.39875,2,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,272
+2020-09-30,浙江秀舟热电有限公司,13.8833333333333,50.2666666666667,37.9218,7916.86,146934.18940901995,1411325.99889377,683238.6064216789,152020.692083333,2,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,273
+2020-10-01,浙江秀舟热电有限公司,13.9833333333333,50.3291666666667,44.8431,8831.02,140235.70134068537,984080.8641209307,743163.1207920611,143284.0825,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,274
+2020-10-02,浙江秀舟热电有限公司,13.9166666666667,50.8125,43.6406,7843.61,131460.93021507814,752694.0412947718,637355.3270349706,131759.497916667,2,515.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,275
+2020-10-03,浙江秀舟热电有限公司,13.6375,51.7291666666667,43.9531,8277.25,126979.43217213411,714754.6700982398,903202.9951506692,124286.81875,2,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,276
+2020-10-04,浙江秀舟热电有限公司,13.7125,51.5041666666667,45.4843,8429.61,190214.89625190894,1196821.7873950123,1582875.434305749,179022.212916667,2,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,277
+2020-10-05,浙江秀舟热电有限公司,13.6541666666667,50.2916666666667,45.7187,9211.92,200477.40755410114,1734422.8615373862,1348334.3977500831,184370.335416667,2,591.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,278
+2020-10-06,浙江秀舟热电有限公司,13.5666666666667,50.1166666666667,45.7187,9024.4,192294.7701781212,1166243.0277384787,1534710.2931560066,184173.825416667,2,579.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,279
+2020-10-07,浙江秀舟热电有限公司,13.575,50.425,45.5234,8754.84,170293.23166308805,1655997.055427706,1462783.4492950325,182206.022083333,2,571.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,280
+2020-10-08,浙江秀舟热电有限公司,13.6208333333333,50.5083333333333,46.2343,8839.81,168521.28707453277,1544667.8096980772,1325843.9924376805,184257.688333333,2,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,281
+2020-10-09,浙江秀舟热电有限公司,14.0916666666667,50.3333333333333,45.3671,8634.70999999999,119265.65187633169,1326860.4479828863,345352.2464145917,130888.165833333,2,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,282
+2020-10-10,浙江秀舟热电有限公司,13.6625,50.9208333333333,37.1171,7412.9,107327.87568234063,972690.4586684755,354086.7160681774,117409.01125,2,497.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,283
+2020-10-11,浙江秀舟热电有限公司,13.2833333333333,51.5166666666667,37.4375,8286.04,60106.582533316534,360805.77135344915,270176.2797684477,63804.7020833333,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,284
+2020-10-12,浙江秀舟热电有限公司,13.4708333333333,51.1375,36.6796,7864.12,60803.69702293299,422856.9375674789,352977.89320078894,64109.79875,2,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,285
+2020-10-13,浙江秀舟热电有限公司,13.3041666666667,51.0916666666667,36.125,7075.95,59112.77166650476,350860.1258089097,405600.1416624439,62597.36375,2,488.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,286
+2020-10-14,浙江秀舟热电有限公司,12.9833333333333,51.55,35.6406,7858.26,89625.22583970473,699565.5038493118,716024.3221184084,95721.8245833333,2,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,287
+2020-10-15,浙江秀舟热电有限公司,13.2083333333333,51.4,42.7968,8901.34,162646.53121150896,1406655.454070836,1123999.3653566653,172526.960416667,2,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,288
+2020-10-16,浙江秀舟热电有限公司,13.9125,50.1666666666667,46.3593,9203.12999999999,232200.589110023,2044609.7375506156,1066051.3553255904,246105.590833333,2,596.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,289
+2020-10-17,浙江秀舟热电有限公司,13.6333333333333,50.7208333333333,44.9609,9176.76,212756.8203341864,2066283.534339941,765974.7316984338,236894.219166667,2,601.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,290
+2020-10-18,浙江秀舟热电有限公司,12.6958333333333,51.4125,45.2421,9411.16,198507.49706728276,1916096.028418004,959801.4434780739,228321.477916667,2,602.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,291
+2020-10-19,浙江秀舟热电有限公司,12.8958333333333,50.15,37.1953,9314.46999999999,134162.75092130274,1200978.5184253003,702903.5728930335,160882.847083333,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,292
+2020-10-20,浙江秀舟热电有限公司,12.8666666666667,51.525,40.164,8576.1,241695.717094712,3689729.393669977,1333736.2264771326,281399.124583333,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,293
+2020-10-21,浙江秀舟热电有限公司,12.8541666666667,52.225,45.9609,9499.06,162011.3453305264,2005680.6977107844,1476213.1323511172,187418.16125,2,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,294
+2020-10-22,浙江秀舟热电有限公司,13.7416666666667,51.7166666666667,47.3939,9408.23,246049.98421240156,2672685.164330203,1701364.8162064352,248439.849583333,2,635.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,295
+2020-10-24,浙江秀舟热电有限公司,14.0166666666667,50.45,46.2031,9545.94,126566.68012403864,2243272.092860653,602468.0332458959,150510.575416667,2,632.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,297
+2020-10-25,浙江秀舟热电有限公司,12.7625,52.7375,46.7968,9777.41,97394.04222267243,1921687.939439243,581359.8098741529,118936.930833333,2,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,298
+2020-10-26,浙江秀舟热电有限公司,13.4208333333333,51.1666666666667,44.9218,9173.83,58420.366069206735,707557.6638749813,512486.216981071,72394.2820833333,2,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,299
+2020-10-27,浙江秀舟热电有限公司,12.7916666666667,52.1916666666667,39.2421,8171.77,50422.67856958137,844964.3717349534,428527.22709806747,62165.1441666667,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,300
+2020-10-28,浙江秀舟热电有限公司,13.0125,51.5625,45.1195,8898.41,85859.14138334889,1575377.7210844047,734114.2430573691,105557.8,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,301
+2020-10-29,浙江秀舟热电有限公司,13.4208333333333,51.3833333333333,47.559,9279.31,66177.11247157343,1025984.9069127282,550537.2548167068,85033.1091666667,2,632.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,302
+2020-10-30,浙江秀舟热电有限公司,13.4541666666667,51.2291666666667,46.5194,9112.29999999999,103847.79786610299,1626586.2052131817,2149687.420511909,134777.26625,2,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,303
+2020-10-31,浙江秀舟热电有限公司,13.6333333333333,50.9083333333333,45.7187,9056.1,105049.83512784212,1528353.1864078268,1038357.6788434339,143974.10625,2,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,304
+2020-11-01,浙江秀舟热电有限公司,13.6708333333333,50.7,43.7656,8420.82,83481.00826558887,975813.8907258864,704568.2347088875,116079.835833333,2,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,305
+2020-11-02,浙江秀舟热电有限公司,13.35,51.6375,46.3593,8748.98,86134.59884825912,1309320.5970338453,818730.7875918959,111673.82,2,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,306
+2020-11-03,浙江秀舟热电有限公司,13.1708333333333,51.2375,46.6015,9317.4,91255.36150825373,1561806.4419462434,776176.1426900084,119531.015416667,2,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,307
+2020-11-04,浙江秀舟热电有限公司,12.9,50.9166666666667,45.914,8258.79999999999,73758.38881298956,1392800.668519932,735261.0706527416,101286.707083333,2,625.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,308
+2020-11-05,浙江秀舟热电有限公司,13.4625,50.7166666666667,41.9609,9223.64,62612.09006110217,626402.1658593434,441195.1143016495,69278.85875,2,618.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,309
+2020-11-06,浙江秀舟热电有限公司,12.9416666666667,51.85,39.0781,7972.53,105574.42594158895,1786410.9991139781,626225.5389975131,149822.85875,2,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,310
+2020-11-07,浙江秀舟热电有限公司,13.1333333333333,51.2833333333333,46.2421,9387.71999999999,82539.63720816965,1617452.295201215,708289.5732235281,119616.73,2,629.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,311
+2020-11-09,浙江秀舟热电有限公司,12.7625,51.1791666666667,47.4037,9466.83,93885.5924652716,1895877.2199962041,1148771.3688723214,143413.349166667,2,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,313
+2020-11-10,浙江秀舟热电有限公司,12.8958333333333,51.3166666666667,39.5546,9513.70999999999,85291.80915312239,1737773.3322215034,1097020.9799223386,134170.639583333,2,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,314
+2020-11-11,浙江秀舟热电有限公司,13.0083333333333,51.2625,46.2796,9068.35,66589.09803043697,1356866.5883550316,636734.9474601356,105787.860416667,2,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,315
+2020-11-12,浙江秀舟热电有限公司,12.8583333333333,51.675,45.3261,9024.4,72186.90079263724,1718858.7142488789,1024810.4287047809,119302.295,2,624.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,316
+2020-11-13,浙江秀舟热电有限公司,12.0833333333333,52.8708333333333,46.6332,8816.37,78981.37479124311,1719953.4542492093,855840.0329471921,127381.20375,2,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,317
+2020-11-14,浙江秀舟热电有限公司,10.9333333333333,54.4166666666667,48.684,9188.48,55133.00949313663,1301042.4054014536,375272.82310525456,86502.5954166667,2,625.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,318
+2020-11-15,浙江秀舟热电有限公司,11.0833333333333,54.8,48.3183,9460.96999999999,67901.90881498074,1521527.8849995753,454344.7271352549,104599.2775,2,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,319
+2020-11-16,浙江秀舟热电有限公司,11.3083333333333,55.375,46.2763,9235.36,47376.57865563416,1044512.6579916385,346087.4726501308,69206.4941666667,2,636.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,320
+2020-11-17,浙江秀舟热电有限公司,11.9375,54.5833333333333,46.2455,8895.48,35709.97762067625,536942.4236832769,239896.865950714,52117.9495833333,2,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,321
+2020-11-18,浙江秀舟热电有限公司,11.6958333333333,55.8083333333333,34.6016,7254.68,59078.62325416197,928069.5608779199,439322.5152311009,86020.8383333333,2,500.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,322
+2020-11-19,浙江秀舟热电有限公司,11.6875,55.1375,45.2387,8382.37,51113.52710368312,828334.7855500818,345989.6510830981,59780.2391666667,2,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,323
+2020-11-20,浙江秀舟热电有限公司,11.0416666666667,55.0458333333333,46.5175,9071.28,31692.20564213104,774072.0157551159,195479.2118392345,50455.5208333333,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,324
+2020-11-21,浙江秀舟热电有限公司,10.8875,54.9791666666667,47.3212,9443.39,29092.3294186209,688359.1180415486,132939.99457816174,51190.3645833333,2,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,325
+2020-11-22,浙江秀舟热电有限公司,11.7958333333333,54.6125,46.0405,8892.54999999999,30908.509361549095,672281.0098841384,127244.68159847676,50002.5595833333,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,326
+2020-11-23,浙江秀舟热电有限公司,11.825,54.2083333333333,47.6771,9009.75,29271.00664727332,719847.3173691907,113714.57777196352,49472.7483333333,2,611.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,327
+2020-11-24,浙江秀舟热电有限公司,12.4541666666667,53.4,44.8046,9085.93,29924.750086891065,586681.21558101,133468.59519997286,50097.8495833333,2,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,328
+2020-11-25,浙江秀舟热电有限公司,12.1125,54.375,38.2734,7237.1,46771.82315241287,970868.3508244468,220144.0698752666,77491.175,2,515.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,329
+2020-11-26,浙江秀舟热电有限公司,11.9166666666667,54.5291666666667,48.0043,9050.77,28971.692164923625,701840.9631045485,172367.80510710768,49305.9333333333,2,624.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,330
+2020-11-27,浙江秀舟热电有限公司,12.1416666666667,54.1708333333333,49.8812,9452.16,30860.876142851597,566056.6253276145,129947.81478985482,49522.825,2,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,331
+2020-11-28,浙江秀舟热电有限公司,11.7375,54.325,47.3143,9041.98,30591.108627740414,568479.601248511,99438.32776348249,49334.2875,2,640.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,332
+2020-11-29,浙江秀舟热电有限公司,11.4333333333333,53.875,51.0443,9812.57,60228.64348263405,1181949.1096786084,305210.3307428838,101155.05,2,686.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,333
+2020-11-30,浙江秀舟热电有限公司,11.275,53.6958333333333,49.119,9431.67,55734.64991128828,1143757.3089513215,181894.22963726748,97209.1954166667,2,655.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,334
+2020-12-01,浙江秀舟热电有限公司,13.475,48.6833333333333,46.5565,9109.37,28994.770542989037,418473.8950667712,123338.25852580958,54084.9491666667,2,634.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,335
+2020-12-02,浙江秀舟热电有限公司,11.2708333333333,54.2625,39.1225,7562.33,32489.610449531516,738906.5690807733,103255.2125677373,58550.995,2,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,336
+2020-12-03,浙江秀舟热电有限公司,11.65,52.3083333333333,48.7167,9340.84,52588.5639822265,796308.1349032179,183131.31614799576,75526.66,2,653.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,337
+2020-12-04,浙江秀舟热电有限公司,11.2875,50.1583333333333,50.2451,9616.26,51933.859781006635,1754646.0861416624,339712.0307629426,93180.9591666667,2,671.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,338
+2020-12-05,浙江秀舟热电有限公司,11.1333333333333,49.9083333333333,51.8397,9888.75,36643.390291171345,753189.1137902031,495195.3789944654,68567.0370833333,2,681.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,339
+2020-12-06,浙江秀舟热电有限公司,11.1125,50.5208333333333,48.4813,8995.1,29423.42657943828,647163.1236590482,399788.2366702696,58247.4466666667,2,647.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,340
+2020-12-07,浙江秀舟热电有限公司,11.5166666666667,50.3083333333333,45.9535,9258.79999999999,35784.773897841114,704295.4714150836,366770.69558670395,65737.3033333333,2,632.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,341
+2020-12-08,浙江秀舟热电有限公司,11.3791666666667,51.7291666666667,47.5466,8705.03,42145.748807405675,795635.8167353885,297570.4001247131,55313.9408333333,2,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,342
+2020-12-09,浙江秀舟热电有限公司,11.0583333333333,54.9666666666667,44.5238,8453.04999999999,130440.0349389529,2213073.732275633,238346.7265850389,110162.724166667,2,612.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,343
+2020-12-10,浙江秀舟热电有限公司,12.3458333333333,53.0791666666667,51.3568,9818.43,279254.6537134043,3207588.080423213,605613.4463214928,223627.432916667,2,667.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,344
+2020-12-11,浙江秀舟热电有限公司,12.6583333333333,50.45,54.2367,9765.69,469810.8054772483,4909930.503245465,727405.162673565,384523.243333333,2,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,345
+2020-12-12,浙江秀舟热电有限公司,12.9041666666667,48.9083333333333,41.9257,7911.0,411427.5152021395,3218579.7946311445,311412.6548046754,340650.21875,2,539.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,346
+2020-12-13,浙江秀舟热电有限公司,12.575,49.15,41.3593,7571.12,289551.4710050812,3115491.491103487,541365.1910497838,241768.047083333,2,524.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,347
+2020-12-14,浙江秀舟热电有限公司,12.6083333333333,49.8166666666667,46.039,8250.87999999999,346120.0506682931,2658892.168995438,1549196.2625001413,290978.472083333,2,543.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,348
+2020-12-15,浙江秀舟热电有限公司,12.2666666666667,49.8791666666667,52.4775,9803.78,368424.20184777916,3418390.5903346376,1577751.299234422,314754.109583333,2,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,349
+2020-12-16,浙江秀舟热电有限公司,12.2208333333333,49.8166666666667,49.6435,9326.19,306869.7331636971,2692478.452656658,1221694.3054227221,267866.819166667,2,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,350
+2020-12-17,浙江秀舟热电有限公司,12.1291666666667,49.9125,46.8359,9112.29999999999,307903.6315002789,2469625.7792894435,1218019.035283668,276364.575,2,626.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,351
+2020-12-18,浙江秀舟热电有限公司,13.1375,50.1166666666667,44.9593,8669.87,338155.0471297113,2435509.0900115888,1106185.5423751632,241007.447083333,2,604.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,352
+2020-12-19,浙江秀舟热电有限公司,12.925,48.5333333333333,49.0419,9352.56,224940.69413188336,2462065.5163974157,1165577.7279288934,186082.199583333,2,650.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,353
+2020-12-20,浙江秀舟热电有限公司,12.4541666666667,49.8166666666667,49.7211,9337.91,149458.05592896702,1429933.422098244,356185.5001825075,125014.862083333,2,656.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,354
+2020-12-24,浙江秀舟热电有限公司,20.0916666666667,6.92083333333333,29.9199,6756.58,57.649341115676094,174.8072145980086,471.62565658352634,44.12625,2,498.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,358
+2020-12-25,浙江秀舟热电有限公司,19.7541666666667,8.98333333333333,30.56,6689.19,100985.03458475665,215116.0500030319,1006925.5223606807,77599.2604166667,2,484.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,359
+2020-12-26,浙江秀舟热电有限公司,15.3208333333333,33.8,29.8798,6680.4,260096.80082974752,1231891.213906108,2824217.7623430197,207810.992916667,2,472.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,360
+2020-12-27,浙江秀舟热电有限公司,13.0666666666667,46.3083333333333,30.1601,6290.71,380514.9331382806,4260130.875603445,1470894.1873340395,321975.123333333,2,479.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,361
+2020-12-28,浙江秀舟热电有限公司,13.5291666666667,45.9,28.5175,6296.57,145250.43332182957,935081.5556062027,314413.7840675858,120664.462083333,2,455.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,362
+2020-12-29,浙江秀舟热电有限公司,14.7458333333333,44.6833333333333,22.7968,3518.93,59230.217837541815,359264.17686126824,31685.758810652485,44619.92375,2,330.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,363
+2020-12-30,浙江秀舟热电有限公司,15.5125,41.3541666666667,23.164,3750.4,61806.07107530775,254039.38896426783,77924.78334887959,48615.20875,2,323.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,364
+2020-12-31,浙江秀舟热电有限公司,14.7583333333333,43.7583333333333,23.6406,3788.49,147809.96812802908,751090.945360818,196519.16087699472,111025.525,2,333.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,365
+2021-01-05,浙江秀舟热电有限公司,16.0416666666667,38.6083333333333,47.9667,9528.36,30780.98581040812,110090.36017266182,81375.41329310786,23326.4075,2,647.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,4
+2021-01-06,浙江秀舟热电有限公司,19.3458333333333,22.025,48.7938,9586.95999999999,13249.522048221159,19015.270368808222,5379.961748269469,10450.3408333333,2,654.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,5
+2021-01-07,浙江秀舟热电有限公司,16.325,31.3208333333333,49.1264,9669.0,66758.49076536046,412663.1118610912,123659.4601170488,55849.4608333333,2,692.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,6
+2021-01-08,浙江秀舟热电有限公司,11.8,51.0583333333333,51.9975,10111.43,127462.41351152363,1915654.8237834964,293774.937273675,109723.377083333,2,717.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,7
+2021-01-09,浙江秀舟热电有限公司,11.2583333333333,52.4041666666667,52.7578,9481.48,196793.2316716056,3325708.222991947,889556.5380911955,173318.527916667,2,719.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,8
+2021-01-10,浙江秀舟热电有限公司,11.2666666666667,52.55,51.6796,9994.23,191279.36830832248,2672890.002138072,1049743.8904733725,161255.696666667,2,720.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,9
+2021-01-11,浙江秀舟热电有限公司,10.1583333333333,53.4625,49.8793,9824.29,139111.97413465852,1669996.7396273385,655062.5554985728,117327.5625,2,702.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,10
+2021-01-12,浙江秀舟热电有限公司,9.49583333333333,54.4708333333333,51.9593,9783.27,161660.8182501006,1861595.6096056974,888291.8052113885,130523.535,2,734.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,11
+2021-01-13,浙江秀舟热电有限公司,9.32916666666667,54.8791666666667,43.2856,8259.67,201844.51308395326,2057595.8603681456,1181853.4831481792,161802.974583333,2,675.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,12
+2021-01-14,浙江秀舟热电有限公司,9.5375,55.35,50.9199,9809.64,205429.87472979308,2601028.322250853,929325.6237776371,151107.4275,2,693.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,13
+2021-01-15,浙江秀舟热电有限公司,9.7875,54.55,50.2782,9686.58,184895.48372202457,1980551.8815305762,900811.6023385159,144317.389166667,2,676.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,14
+2021-01-16,浙江秀舟热电有限公司,10.0291666666667,53.9833333333333,44.6366,8204.0,79506.58904203498,873831.6568544449,461344.14001617907,71851.40375,2,623.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,15
+2021-01-17,浙江秀舟热电有限公司,9.80416666666667,53.8041666666667,45.8846,8713.82,137000.07372128233,1361083.492176102,497361.9486420232,129637.71125,2,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,16
+2021-01-18,浙江秀舟热电有限公司,9.20416666666667,54.6708333333333,47.9579,9279.31,147709.66081947598,2024041.7504632354,659885.7492703903,146644.8875,2,665.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,17
+2021-01-19,浙江秀舟热电有限公司,9.3,55.4458333333333,50.601,9645.56,110689.88678548601,1568446.3090547351,185763.0984955717,112608.37125,2,680.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,18
+2021-01-20,浙江秀舟热电有限公司,9.3,55.9291666666667,49.8363,9736.39,145466.92074225494,1740493.458142635,226594.70879779186,150065.153333333,2,683.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,19
+2021-01-21,浙江秀舟热电有限公司,9.54166666666667,55.5875,49.0448,9370.14,149170.91448344817,1669960.8995981128,275469.2579600022,130482.694166667,2,662.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,20
+2021-01-22,浙江秀舟热电有限公司,9.375,55.7958333333333,42.4393,8631.78,65898.31667350039,901767.7991760621,266833.0374928035,49579.275,2,612.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,21
+2021-01-23,浙江秀舟热电有限公司,9.90833333333333,55.2666666666667,48.6737,9250.01,65703.17670748792,568435.5153886249,372615.66340801684,49327.10375,2,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,22
+2021-01-24,浙江秀舟热电有限公司,10.0375,54.4833333333333,39.8007,7934.44,83788.65455623729,759504.4856028032,531866.9626012468,64769.30875,2,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,23
+2021-01-25,浙江秀舟热电有限公司,9.39583333333333,55.4041666666667,46.5263,9109.37,123713.88661222545,1350381.9572292552,1091473.4792211198,100766.450833333,2,635.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,24
+2021-01-26,浙江秀舟热电有限公司,10.0791666666667,54.8833333333333,47.516,9241.21999999999,72396.64981729846,704890.8951434738,577675.4709629061,55805.74,2,655.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,25
+2021-01-27,浙江秀舟热电有限公司,9.7875,54.55,47.642,9185.54999999999,104682.34567870469,1005410.4324492426,533470.4912010839,85043.2604166667,2,660.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,26
+2021-01-28,浙江秀舟热电有限公司,10.3958333333333,53.5375,41.9579,8423.75,132560.90862452943,1425092.5266919907,619849.5090812411,99621.6779166667,2,607.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,27
+2021-01-29,浙江秀舟热电有限公司,10.7041666666667,52.525,46.9188,9285.17,155721.02233344095,1200600.8840766025,810922.940907367,122902.902916667,2,646.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,28
+2021-01-30,浙江秀舟热电有限公司,10.55,52.7625,49.5209,9625.04999999999,172176.51657686444,1498596.976519045,1063205.792564165,138601.04625,2,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,29
+2021-01-31,浙江秀舟热电有限公司,10.0666666666667,53.7666666666667,50.3217,9856.52,182625.12702152392,1569490.874618946,818435.0653149305,152104.444583333,2,676.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,30
+2021-02-01,浙江秀舟热电有限公司,10.425,53.3291666666667,47.1971,9493.2,78731.7179955762,829689.2441002938,350412.2484423075,66749.9533333333,2,654.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,31
+2021-02-02,浙江秀舟热电有限公司,10.2833333333333,53.4208333333333,48.3608,9414.09,128028.09057030635,1275180.1849632147,639277.2539570974,112068.482916667,2,647.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,32
+2021-02-03,浙江秀舟热电有限公司,10.3208333333333,53.4958333333333,48.9984,9803.78,197818.28889585796,1899869.7927371277,819647.4658085944,176222.985,2,677.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,33
+2021-02-04,浙江秀舟热电有限公司,11.4208333333333,51.0833333333333,47.6386,9484.41,137616.17613108453,1252276.9479802768,638635.8726485238,122566.1525,2,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,34
+2021-02-05,浙江秀舟热电有限公司,12.2416666666667,50.0458333333333,30.0409,6815.18,134069.21523167097,1243721.6557432585,391482.1084764808,117511.649166667,2,493.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,35
+2021-02-06,浙江秀舟热电有限公司,12.3291666666667,49.9291666666667,27.5625,6366.89,156369.29619518746,1545161.945263969,445384.2496916146,139078.17,2,446.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,36
+2021-02-07,浙江秀舟热电有限公司,10.0708333333333,53.5,21.6796,5490.82,121222.20935931831,1089118.454359901,536781.1207497657,109250.52875,2,399.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,37
+2021-02-08,浙江秀舟热电有限公司,10.5875,53.2291666666667,25.4375,5531.84,62913.2362264623,243176.17483938337,231814.09290088742,53275.00375,2,405.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,38
+2021-02-09,浙江秀舟热电有限公司,10.7583333333333,52.7958333333333,28.9218,5816.05,101580.14390079316,322636.26242315763,300061.1755312334,88341.1054166667,2,426.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,39
+2021-02-10,浙江秀舟热电有限公司,14.0208333333333,44.7208333333333,27.3984,5148.01,125611.83579331594,454054.3165682234,397950.1704719416,103165.624583333,2,404.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,40
+2021-02-11,浙江秀舟热电有限公司,19.2875,15.925,18.9609,2059.79,70947.51359024033,72271.4518240866,1008425.5810195705,65629.6516666667,2,288.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,41
+2021-02-13,浙江秀舟热电有限公司,19.9333333333333,17.0791666666667,16.8218,2036.35,72939.44250505665,41192.009651841785,540559.78411899,72206.8479166667,2,272.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,43
+2021-02-14,浙江秀舟热电有限公司,20.1625,18.45,18.8046,2168.19999999999,70651.49306069185,129081.73995742931,457151.8514286296,70354.7225,2,290.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,44
+2021-02-15,浙江秀舟热电有限公司,20.2625,14.9583333333333,16.914,1875.2,11263.413395906313,8437.649621983031,36750.44103048377,10857.0420833333,2,275.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,45
+2021-02-18,浙江秀舟热电有限公司,20.45,10.1791666666667,18.7578,2018.77,76001.27186741141,97668.86816853385,113894.17007266993,76274.3470833333,2,288.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,48
+2021-02-23,浙江秀舟热电有限公司,10.8166666666667,52.0708333333333,24.7187,4682.14,102949.93464788001,1371925.3052490742,210904.9147348868,109511.595416667,2,441.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,53
+2021-02-24,浙江秀舟热电有限公司,10.3166666666667,52.9166666666667,27.5625,7383.6,118333.13958350908,1347509.3240874347,399478.3199036332,124848.790833333,2,480.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,54
+2021-02-25,浙江秀舟热电有限公司,10.3458333333333,53.8,43.5625,9376.0,170579.26849418448,2257393.748240632,553259.632823643,164679.92875,2,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,55
+2021-02-26,浙江秀舟热电有限公司,10.4125,53.6041666666667,43.6406,9674.86,90205.07837978512,955740.3571294964,226842.36986425874,76000.1229166667,2,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,56
+2021-02-27,浙江秀舟热电有限公司,10.0,54.7875,42.2787,8889.62,163744.574382157,1608954.479498982,478499.654138421,139404.157083333,2,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,57
+2021-02-28,浙江秀舟热电有限公司,9.88333333333333,55.1916666666667,44.7153,8696.24,165953.31488938368,1897192.061994663,500744.7689891941,145341.451666667,2,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,58
+2021-03-01,浙江秀舟热电有限公司,10.9375,53.8166666666667,43.4017,8441.33,71240.62873927572,873414.8036515833,236216.68031345127,61032.76375,2,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,59
+2021-03-02,浙江秀舟热电有限公司,10.3666666666667,53.6666666666667,40.8437,7046.65,142819.03976135515,1606010.9851616768,849798.4012998337,119646.3175,2,533.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,60
+2021-03-03,浙江秀舟热电有限公司,9.69166666666667,54.8458333333333,45.2767,8599.54999999999,130063.15463542723,1593348.486223667,974563.4199587697,116054.0775,2,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,61
+2021-03-04,浙江秀舟热电有限公司,10.5625,53.5208333333333,46.9564,9200.2,188965.50490169087,1917730.2067758022,832655.5424157232,141371.282916667,2,673.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,62
+2021-03-05,浙江秀舟热电有限公司,10.1458333333333,53.35,29.3671,6522.18,100768.0971872791,1047167.8939603436,710579.4677172056,91148.4991666667,2,481.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,63
+2021-03-06,浙江秀舟热电有限公司,10.025,54.2416666666667,43.4384,8839.81,105765.63664111694,1428041.7500596556,1068559.3672254013,93472.8754166667,2,640.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,64
+2021-03-07,浙江秀舟热电有限公司,10.2,54.7333333333333,46.3959,9047.84,116276.89947510786,1395633.8018017074,718027.4111676859,95901.8083333333,2,653.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,65
+2021-03-08,浙江秀舟热电有限公司,9.94166666666667,54.1041666666667,48.7992,9463.9,162484.44046803867,1928504.6538396792,1247559.1588302702,140207.0375,2,679.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,66
+2021-03-09,浙江秀舟热电有限公司,9.88333333333333,53.7125,49.4833,10354.62,324088.26321810053,4057225.8644684176,910630.8756166026,291719.855416667,2,752.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,67
+2021-03-10,浙江秀舟热电有限公司,10.2916666666667,53.7833333333333,53.8407,11183.81,196905.97666432714,2196276.0604762686,385623.4069103112,181507.440416667,2,796.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,68
+2021-03-11,浙江秀舟热电有限公司,9.92916666666667,53.9958333333333,50.9218,11195.53,113263.1526879578,1395766.8177748574,175895.30507611364,104372.645,2,818.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,69
+2021-03-12,浙江秀舟热电有限公司,10.2166666666667,53.7541666666667,52.0732,11377.19,120718.25258817324,1723887.328039924,164419.12538890884,112464.282083333,2,760.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,70
+2021-03-13,浙江秀舟热电有限公司,10.25,53.6041666666667,50.8861,11394.77,101889.89884693906,1088384.3340222037,232063.5011086568,97976.3995833333,2,716.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,71
+2021-03-14,浙江秀舟热电有限公司,10.5166666666667,53.3,49.4379,10864.44,87673.62036295571,1021141.2251401338,389477.2358580168,85639.5995833333,2,677.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,72
+2021-03-15,浙江秀舟热电有限公司,10.5,53.25,47.9569,9768.62,102431.08385845891,1238034.8630577468,546862.8900871275,100589.971666667,2,666.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,73
+2021-03-16,浙江秀舟热电有限公司,10.0375,53.3833333333333,48.1606,10108.5,153494.8869240001,1811973.46575202,928558.6234187651,143539.12125,2,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,74
+2021-03-17,浙江秀舟热电有限公司,10.6541666666667,52.8083333333333,53.7186,11078.33,129180.82131250367,1308157.6608224,712433.8126367596,112830.75875,2,740.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,75
+2021-03-18,浙江秀舟热电有限公司,9.9125,53.4583333333333,50.6835,10383.92,162768.7186411637,1459479.5619945736,878293.6305135483,142276.79875,2,728.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,76
+2021-03-19,浙江秀舟热电有限公司,10.89125,52.6083333333333,49.0799,10682.78,92852.20496847371,1068415.272402138,661033.9095437678,87598.8125,2,754.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,77
+2021-03-20,浙江秀舟热电有限公司,10.1841666666667,53.9416666666667,43.2031,9657.28,98666.1685980578,1002058.6358573477,665525.3028365812,89893.0916666667,2,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,78
+2021-03-21,浙江秀舟热电有限公司,8.56583333333333,44.8166666666667,51.2762,10644.69,84113.73870367689,2335203.642325069,400587.6521404993,89623.2166666667,2,733.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,79
+2021-03-22,浙江秀舟热电有限公司,13.2195833333333,52.6416666666667,53.4364,10788.26,144215.00169126643,1491747.7688170762,693605.4843246642,108711.6375,2,745.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,80
+2021-03-23,浙江秀舟热电有限公司,12.08,53.2208333333333,50.8436,10591.95,133810.33313847164,1174026.3752744533,733567.3620269804,113678.804166667,2,733.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,81
+2021-03-24,浙江秀舟热电有限公司,11.1216666666667,53.8375,50.5214,10723.8,142060.75372692826,1633922.738449152,974258.9230357803,128163.441666667,2,758.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,82
+2021-03-25,浙江秀舟热电有限公司,11.4770833333333,53.4208333333333,52.7578,10744.31,127849.46057634914,1667761.4937163957,849606.638973822,116667.491666667,2,764.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,83
+2021-03-26,浙江秀舟热电有限公司,12.2995833333333,52.5958333333333,38.3612,8587.83,84975.31348198993,701907.5725117073,359709.6884896401,81789.4583333333,2,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,84
+2021-03-27,浙江秀舟热电有限公司,11.085,53.5,41.5184,9361.35,105064.86647388697,1292051.886369502,795892.7176031903,100389.1875,2,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,85
+2021-03-28,浙江秀舟热电有限公司,10.6645833333333,53.3208333333333,49.8768,9510.78,101508.80446242761,1215019.2371972282,632715.3521391174,97920.6375,2,694.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,86
+2021-03-29,浙江秀舟热电有限公司,10.5370833333333,53.3541666666667,50.2,10278.44,137888.94970123054,1912852.5677519029,955237.5860336992,135780.704166667,2,692.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,87
+2021-03-31,浙江秀舟热电有限公司,11.305,51.4208333333333,49.4433,9821.36,263956.5752016022,3040020.4191883234,1870295.048260674,256611.3125,2,678.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,89
+2021-04-01,浙江秀舟热电有限公司,11.7558333333333,51.4625,48.1572,10190.54,351351.68012222723,3692571.0228230255,2308560.71875181,319719.6875,2,705.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,90
+2021-04-02,浙江秀舟热电有限公司,11.4825,52.4083333333333,47.5966,9765.69,376197.25824899244,4598625.790898543,1718402.6181215767,337911.104166667,2,674.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,91
+2021-04-03,浙江秀舟热电有限公司,12.56125,51.3791666666667,49.6396,10366.34,380127.9164419507,3511309.79226187,1366998.4687431667,345816.375,2,714.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,92
+2021-04-04,浙江秀舟热电有限公司,12.1545833333333,51.4583333333333,41.7216,8725.54,287733.98126687756,2595139.1771955015,882568.654078214,261826.091666667,2,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,93
+2021-04-05,浙江秀舟热电有限公司,10.9075,53.0375,43.0409,8713.82,225221.8907806788,2463725.3629309656,428065.9654902014,205940.133333333,2,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,94
+2021-04-06,浙江秀舟热电有限公司,11.3808333333333,52.5083333333333,47.4375,9613.33,240273.77182610368,2033442.339055652,1175873.5714447957,220052.1,2,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,95
+2021-04-07,浙江秀舟热电有限公司,11.72,52.4541666666667,45.0829,9329.12,236171.45229509086,1907480.611507953,1540018.9588954633,214877.195833333,2,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,96
+2021-04-08,浙江秀舟热电有限公司,11.8416666666667,52.725,44.2392,8473.56,265398.4719506476,2248859.326186173,854070.4720405579,235646.995833333,2,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,97
+2021-04-09,浙江秀舟热电有限公司,11.7129166666667,52.1958333333333,46.8368,9378.93,282725.0560449258,2882738.6555608963,612130.5730567713,250623.429166667,2,676.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,98
+2021-04-10,浙江秀舟热电有限公司,11.75125,52.5708333333333,47.0429,9387.71999999999,229961.43245658313,1884526.7074901194,402794.08137835556,206011.1875,2,674.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,99
+2021-04-11,浙江秀舟热电有限公司,11.7979166666667,53.6583333333333,45.8788,9170.9,243778.3328187507,2191705.1997761168,758932.5455678068,219118.554166667,2,665.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,100
+2021-04-12,浙江秀舟热电有限公司,11.7558333333333,53.775,45.4813,8737.26,268389.1211419644,1926589.4237388237,725676.3179921306,244400.175,2,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,101
+2021-04-13,浙江秀舟热电有限公司,11.885,53.45,47.164,9255.87,313249.96162120916,2099377.146634445,1042158.526162868,286794.3125,2,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,102
+2021-04-14,浙江秀舟热电有限公司,11.83875,52.55,47.1552,9208.99,319165.4972316003,2421361.3203435894,2259732.639053229,291404.645833333,2,660.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,103
+2021-04-15,浙江秀舟热电有限公司,11.2791666666667,53.3083333333333,47.4413,9250.01,225702.2636933042,1334277.7355244523,1728010.7065730235,203292.916666667,2,656.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,104
+2021-04-16,浙江秀舟热电有限公司,11.5845833333333,53.1625,46.8788,9276.37999999999,266528.05732154654,1760598.5868495777,1600009.1264444827,239957.941666667,2,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,105
+2021-04-17,浙江秀舟热电有限公司,12.1679166666667,52.125,31.6796,6867.92,281738.4178120406,1823792.5792534954,564360.0281564081,251259.9,2,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,106
+2021-04-18,浙江秀舟热电有限公司,11.5333333333333,52.0916666666667,37.3203,7735.2,229384.8714500753,1633632.001160466,498470.97065112385,209138.2375,2,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,107
+2021-04-19,浙江秀舟热电有限公司,11.4341666666667,52.1916666666667,41.1219,9879.79999999999,251367.95927030657,2068145.9982271725,1900567.3587136348,229251.4875,2,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,108
+2021-04-20,浙江秀舟热电有限公司,11.5008333333333,52.4541666666667,45.5595,8889.62,69089.3138591437,404571.07827133074,472331.75147933635,63061.3916666667,2,638.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,109
+2021-04-21,浙江秀舟热电有限公司,11.3529166666667,53.2875,43.2372,8347.57,46926.04810773203,330136.7807579232,181688.03241711677,42941.5041666667,2,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,110
+2021-04-22,浙江秀舟热电有限公司,11.29,53.8958333333333,43.7616,8444.26,191343.39408659583,1336547.8870526447,823633.356038424,163378.716666667,2,626.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,111
+2021-04-23,浙江秀舟热电有限公司,11.6775,53.4208333333333,40.9199,8110.24,282986.70052445936,2215743.6282855486,1044938.9508918131,241277.329166667,2,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,112
+2021-04-24,浙江秀舟热电有限公司,12.2358333333333,52.2416666666667,43.7997,8774.32,263016.51539594383,1691374.641779231,1143617.533019535,220803.995833333,2,628.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,113
+2021-04-25,浙江秀舟热电有限公司,11.62875,52.9833333333333,33.5585,6416.7,224525.3363670032,1002085.0558208693,1869719.8364721187,188920.2375,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,114
+2021-04-26,浙江秀舟热电有限公司,11.71125,52.6166666666667,38.4813,7295.7,202599.58294018154,994633.6250191979,953165.8741250087,168786.029166667,2,573.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,115
+2021-04-27,浙江秀舟热电有限公司,11.9220833333333,52.35,43.0,8160.05,265229.75115563045,1181546.0948373708,553685.8364520085,213298.2125,2,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,116
+2021-04-28,浙江秀舟热电有限公司,11.6058333333333,52.4125,43.5625,8239.16,301142.02070771885,1263168.692265895,338581.2989578695,231750.829166667,2,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,117
+2021-04-29,浙江秀舟热电有限公司,11.4179166666667,52.5,42.7187,7793.8,408186.8500707295,1660179.3122500402,827346.464928308,312524.804166667,2,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,118
+2021-04-30,浙江秀舟热电有限公司,12.4275,51.1375,43.039,8051.64,495532.58025287703,2062893.9183455422,2288758.215974616,388249.004166667,2,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,119
+2021-05-01,浙江秀舟热电有限公司,14.5091666666667,48.425,29.3583,5631.46,256017.2381319139,994959.1207867115,170926.9607353017,209928.870833333,2,451.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,120
+2021-05-02,浙江秀舟热电有限公司,13.9841666666667,48.4708333333333,18.8398,2478.78,135140.6744014271,758016.3282334588,151930.87940281694,115194.341666667,2,285.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,121
+2021-05-03,浙江秀舟热电有限公司,13.1475,50.1583333333333,19.7987,3105.8,352102.08788228367,1556393.2870158874,837900.9105836349,288590.675,2,308.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,122
+2021-05-04,浙江秀舟热电有限公司,12.775,51.7833333333333,31.3593,5115.78,182946.11270147332,857655.4531381024,410227.35577906924,144823.7875,2,405.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,123
+2021-05-05,浙江秀舟热电有限公司,12.28,51.0375,41.4062,7363.09,241877.40332238158,1387414.7948336562,476243.0860446886,212986.525,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,124
+2021-05-06,浙江秀舟热电有限公司,12.55375,50.5166666666667,35.5155,6718.49,250281.81079324873,1456768.4884632742,429169.1306871424,227085.175,2,510.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,125
+2021-05-07,浙江秀舟热电有限公司,12.2479166666667,51.6125,34.2382,6979.26,422894.56185121875,2186310.6675192863,778017.5593032072,384999.508333333,2,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,126
+2021-05-08,浙江秀舟热电有限公司,12.2108333333333,51.95,43.5234,8171.77,445326.27691592166,2322461.345653805,1683883.7569405376,410609.416458333,2,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,127
+2021-05-09,浙江秀舟热电有限公司,12.5754166666667,51.7958333333333,42.2734,7348.44,296011.7837941801,1666778.6682939285,971536.130416297,273791.2375,2,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,128
+2021-05-10,浙江秀舟热电有限公司,12.2289583333333,52.1125,42.3203,7175.57,297251.1198842291,1832241.966054894,209230.4226621545,277800.358333333,2,520.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,129
+2021-05-11,浙江秀舟热电有限公司,11.5959583333333,53.475,41.9218,7559.4,153613.19486646744,992072.8528277775,129179.09713807156,141046.970833333,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,130
+2021-05-12,浙江秀舟热电有限公司,9.7695,57.0125,37.6406,7345.51,95448.96935851006,985389.6452891083,375879.12965725065,83405.5416666667,2,518.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,131
+2021-05-13,浙江秀舟热电有限公司,9.82695833333333,56.9083333333333,44.164,8227.44,62725.24671446591,510902.40682294336,281053.5357729959,53990.6458333333,2,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,132
+2021-05-14,浙江秀舟热电有限公司,9.65833333333333,57.6,43.7968,8230.37,298083.50579282036,2076585.5469918812,919380.7705720625,256907.479166667,2,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,133
+2021-05-15,浙江秀舟热电有限公司,9.67858333333333,57.9376666666667,43.0781,7837.75,289955.04627494706,1870166.1441119872,430609.51337579434,248556.804166667,2,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,134
+2021-05-16,浙江秀舟热电有限公司,10.34425,57.21475,42.0781,7193.15,142653.3736853398,1121973.0130247541,172194.79550145322,119272.0125,2,554.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,135
+2021-05-17,浙江秀舟热电有限公司,10.1788333333333,56.1255833333333,39.7656,6522.18,216903.5591234394,1877728.731858642,358313.38428271253,180480.004166667,2,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,136
+2021-05-18,浙江秀舟热电有限公司,9.36666666666667,56.6855416666667,42.3593,7982.02,128870.09313506659,1092883.6839046027,376822.28954518074,110488.725,2,576.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,137
+2021-05-19,浙江秀舟热电有限公司,9.42133333333333,57.4278333333333,44.1171,8192.28,94663.48849463573,736733.0514443567,345744.7398024162,70979.8416666667,2,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,138
+2021-05-20,浙江秀舟热电有限公司,9.948375,57.349125,43.8828,8602.48,415585.90067000623,2191092.7355904714,529520.4990453203,234955.1375,2,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,139
+2021-05-21,浙江秀舟热电有限公司,9.58425,57.5232083333333,43.8828,8602.48,204286.19078570665,1983993.5408347945,283784.90999602014,191291.966666667,2,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,140
+2021-05-22,浙江秀舟热电有限公司,9.290875,56.9924583333333,44.2343,8417.89,139433.46202959714,766408.7547228065,122262.18708400572,130393.145833333,2,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,141
+2021-05-23,浙江秀舟热电有限公司,9.79391666666667,56.36975,44.5234,8291.9,59910.974464242354,404192.38809335907,40444.90940063643,55335.725,2,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,142
+2021-05-24,浙江秀舟热电有限公司,9.68345833333333,56.1520833333333,43.5156,7591.63,300572.81068325014,1978619.0141220144,189250.95404521955,273452.329166667,2,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,143
+2021-05-25,浙江秀舟热电有限公司,9.48066666666667,56.434625,42.6406,7998.9,248096.17237250574,1448359.52802169,163692.17936333758,231178.9,2,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,144
+2021-05-26,浙江秀舟热电有限公司,9.42575,57.01625,38.3984,7436.34,105677.43007531411,958613.5352716869,126674.88166573568,99650.6583333333,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,145
+2021-05-27,浙江秀舟热电有限公司,9.5695,57.4672916666667,45.4872,8455.98,284924.3573247696,2737153.5877241935,451311.5135389554,265306.658333333,2,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,146
+2021-05-28,浙江秀舟热电有限公司,10.0629166666667,57.9934583333333,46.1141,8432.54,319227.2310742799,3261609.644064773,659446.7037246764,293998.504166667,2,607.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,147
+2021-05-29,浙江秀舟热电有限公司,9.92041666666667,57.6975833333333,45.3652,8429.61,257343.80221495213,3033922.9730531787,239703.2496569357,239146.745833333,2,593.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,148
+2021-05-30,浙江秀舟热电有限公司,10.0309166666667,57.8562916666667,45.2763,8177.63,248310.71320683928,2593880.1406719815,280323.94682160317,235395.9,2,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,149
+2021-05-31,浙江秀舟热电有限公司,10.2604166666667,57.4545,41.9609,7398.25,206048.70307088812,2054022.4640484385,503693.53585915454,198624.466666667,2,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,150
+2021-06-01,浙江秀舟热电有限公司,10.0720833333333,57.7717916666667,40.2421,7319.14,153472.72417953267,1661359.487707996,513969.41860007856,146079.008333333,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,151
+2021-06-02,浙江秀舟热电有限公司,9.88595833333333,57.5855416666667,43.1171,7984.25,248751.60867670196,3243285.4039963633,794193.4732746691,234353.158333333,2,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,152
+2021-06-03,浙江秀舟热电有限公司,9.74495833333333,57.656625,36.3203,7785.01,356899.46082378,4759941.456494137,1977300.0236749148,332660.05,2,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,153
+2021-06-04,浙江秀舟热电有限公司,9.96291666666667,56.6963333333333,41.3203,8529.23,235965.4724979364,2745601.5387613405,545290.2738660357,219816.270833333,2,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,154
+2021-06-05,浙江秀舟热电有限公司,9.533625,57.1543333333333,37.0781,8086.8,272262.44945481914,2785457.4041894497,1049187.5698039194,243613.420833333,2,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,155
+2021-06-06,浙江秀舟热电有限公司,9.158375,57.3802083333333,45.9179,8567.32,264945.91972771456,2402494.118576327,531570.8356641463,229819.7,2,618.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,156
+2021-06-07,浙江秀舟热电有限公司,8.986,57.872625,43.8856,7462.71,280621.58290844754,2611461.5797238685,733294.1533997501,247516.333333333,2,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,157
+2021-06-08,浙江秀舟热电有限公司,8.83779166666667,57.9710416666667,43.8808,8083.87,250285.166809984,2467967.6016752943,171227.9980591329,223583.754166667,2,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,158
+2021-06-09,浙江秀舟热电有限公司,9.022375,57.8610416666667,45.1933,8546.81,267561.74206267035,2274864.070535977,210763.72591047242,239099.275,2,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,159
+2021-06-10,浙江秀舟热电有限公司,9.559625,58.0667083333333,45.5253,8508.71999999999,373920.7342432298,2848634.756234066,884718.2948687717,324517.308333333,2,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,160
+2021-06-11,浙江秀舟热电有限公司,9.38620833333333,58.1480833333333,39.3192,7114.04,250038.11033994888,1779601.5473654626,572155.1564464472,218471.45,2,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,161
+2021-06-12,浙江秀舟热电有限公司,9.28954166666667,57.9485833333333,42.2812,7679.53,284915.252782817,2364415.3523453726,572454.631160868,248824.729166667,2,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,162
+2021-06-13,浙江秀舟热电有限公司,9.65670833333333,56.9724166666667,42.5546,7594.56,316667.3992403598,2419102.3801586735,282072.6911614469,282931.1875,2,559.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,163
+2021-06-14,浙江秀舟热电有限公司,9.14629166666667,57.1063333333333,29.7656,4872.59,233040.06621031053,2105155.3019068763,217710.67811973792,217074.354166667,2,429.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,164
+2021-06-15,浙江秀舟热电有限公司,8.926125,57.147125,38.8359,5898.09,314942.8670644236,2446431.199518279,252448.35344042652,292472.229166667,2,502.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,165
+2021-06-16,浙江秀舟热电有限公司,9.09458333333333,57.045375,32.7578,5827.77,289073.68254674604,1956754.519966423,229579.17110939653,260728.891666667,2,475.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,166
+2021-06-17,浙江秀舟热电有限公司,9.126625,57.1017083333333,42.164,7289.84,304976.9115047602,2265352.770392309,247908.27544637973,274404.104166667,2,532.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,167
+2021-06-18,浙江秀舟热电有限公司,9.471625,56.9331666666667,43.7187,7474.43,370137.40673102334,3400874.9218903645,304330.25342462613,333041.9375,2,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,168
+2021-06-19,浙江秀舟热电有限公司,9.13904166666667,55.817875,43.9609,7442.2,377227.13616343343,3453638.0521027623,317294.06255692814,339797.725,2,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,169
+2021-06-20,浙江秀舟热电有限公司,8.96625,56.1039166666667,44.2812,7761.57,340818.92306946265,2642115.844847111,289476.3618727303,310014.833333333,2,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,170
+2021-06-21,浙江秀舟热电有限公司,8.85420833333333,56.008625,42.8359,7076.16,343588.8710931544,2289250.9738788316,286862.4741562343,326552.533333333,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,171
+2021-06-22,浙江秀舟热电有限公司,9.01733333333333,56.3702916666667,41.7266,7445.13,384988.4691229002,3557470.32396724,353413.54922436515,373167.266666667,2,549.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,172
+2021-06-23,浙江秀舟热电有限公司,9.135875,56.926625,43.039,7752.78,386151.7630505748,3399167.1608922174,316142.67904557387,366241.995833333,2,572.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,173
+2021-06-24,浙江秀舟热电有限公司,9.23883333333333,57.1346666666667,42.7187,7462.71,243166.55309961145,1453778.5681466837,138228.67681166605,228852.720833333,2,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,174
+2021-06-25,浙江秀舟热电有限公司,9.72704166666667,57.362625,41.7578,7260.54,199541.90920550475,1640035.9102926848,120919.18138004109,185094.470833333,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,175
+2021-06-26,浙江秀舟热电有限公司,9.57204166666667,58.2742083333333,40.0781,7275.19,245284.43667830832,2159994.1118892957,150259.01721357624,224738.966666667,2,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,176
+2021-06-27,浙江秀舟热电有限公司,9.401875,58.611375,42.5625,7752.78,230339.3581104849,2053815.5144694939,147554.54584600907,212227.1625,2,559.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,177
+2021-06-28,浙江秀舟热电有限公司,9.43070833333333,58.440125,43.2421,7436.34,215034.3471122761,2043490.5230392835,129518.14363430225,198696.504166667,2,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,178
+2021-06-29,浙江秀舟热电有限公司,9.446375,58.5082916666667,36.7968,6932.38,230435.7896686083,2281606.3444727133,138101.38684593455,212625.395833333,2,534.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,179
+2021-06-30,浙江秀舟热电有限公司,9.637375,58.3099166666667,41.6796,7494.94,224022.19185962595,2351377.2855971814,176081.18615507855,208995.704166667,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,180
+2021-07-01,浙江秀舟热电有限公司,9.53841666666667,58.45725,40.8046,6739.0,223498.19656168768,2319616.3350619585,237526.20300277224,208398.3875,2,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,181
+2021-07-02,浙江秀舟热电有限公司,9.52325,58.8250833333333,41.2734,6586.64,250501.4333715149,2667866.852860358,249146.66371474892,230440.379166667,2,520.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,182
+2021-07-03,浙江秀舟热电有限公司,9.44925,58.6175416666667,41.2812,7043.72,235292.09576460972,2838484.610080208,238935.02884776806,220729.958333333,2,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,183
+2021-07-04,浙江秀舟热电有限公司,9.12366666666667,58.63275,38.2031,6021.15,231046.453949554,2462172.1464455468,231589.9686757103,218448.445833333,2,509.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,184
+2021-07-05,浙江秀舟热电有限公司,9.26870833333333,58.8233333333333,42.9218,6803.46,244257.70441334197,2710527.4713960933,250952.46227961918,229009.6875,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,185
+2021-07-06,浙江秀舟热电有限公司,9.34004166666667,58.46025,42.8359,7245.89,263655.2875185002,2420106.5329354485,270091.1157383888,248881.183333333,2,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,186
+2021-07-07,浙江秀舟热电有限公司,9.712,59.0737083333333,43.039,7342.58,263719.3824073084,3001034.144352868,286605.0432824547,247208.329166667,2,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,187
+2021-07-08,浙江秀舟热电有限公司,9.61404166666667,58.57925,43.7656,7401.18,249337.6169132947,2966427.5870874957,301890.5358031561,236992.204166667,2,547.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,188
+2021-07-09,浙江秀舟热电有限公司,9.446,58.31525,40.3593,6750.72,231247.88941002628,2476372.8452783613,346084.7823613841,228973.3,2,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,189
+2021-07-10,浙江秀舟热电有限公司,9.426125,57.7393333333333,30.5156,4860.87,190051.41963294905,2430550.6571914023,704439.7115823464,209999.054166667,2,434.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,190
+2021-07-11,浙江秀舟热电有限公司,9.30691666666667,58.2905416666667,25.4375,3911.55,201914.00635909385,2801179.8665247736,348821.0152816232,215646.029166667,2,357.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,191
+2021-07-12,浙江秀舟热电有限公司,8.85541666666667,58.528,39.7265,6079.75,235214.9426698231,2217504.804633144,851915.8033868915,244968.533333333,2,552.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,192
+2021-07-13,浙江秀舟热电有限公司,9.19054166666667,58.41075,43.3593,7029.07,234058.4234377046,2350352.7658030093,1112067.2594181555,240412.708333333,2,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,193
+2021-07-14,浙江秀舟热电有限公司,8.95979166666667,58.398,42.7968,7213.66,226914.36450496296,2098258.968445073,1317734.179656718,227014.970833333,2,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,194
+2021-07-15,浙江秀舟热电有限公司,9.48008333333333,58.50625,43.0,7266.4,229410.1978610565,2377089.898921884,414477.7063659274,217859.9875,2,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,195
+2021-07-16,浙江秀舟热电有限公司,9.46316666666667,58.5532916666667,43.3984,7313.28,210297.26762613392,2352194.75034306,351815.7831925484,199817.491666667,2,550.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,196
+2021-07-17,浙江秀舟热电有限公司,9.285125,58.5610833333333,43.3203,7020.28,158645.17169615012,2027152.9967391402,270984.0162343448,156413.291666667,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,197
+2021-07-18,浙江秀舟热电有限公司,8.82116666666667,54.1728333333333,42.2421,7096.46,132315.39757046284,1070743.8656735574,291341.07848872023,130092.1125,2,547.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,198
+2021-07-19,浙江秀舟热电有限公司,10.6816666666667,57.4770416666667,23.5234,4014.1,153059.56967586942,1973086.0547848241,303215.046733308,150986.529166667,2,347.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,199
+2021-07-20,浙江秀舟热电有限公司,9.60008333333333,58.5463333333333,36.5937,5836.56,165396.71370607492,2521150.8653019564,266596.50426084513,152384.466666667,2,497.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,200
+2021-07-21,浙江秀舟热电有限公司,9.39991666666667,58.6767916666667,43.5234,7070.09,215562.78324770395,2214533.233351756,212089.94858606101,173595.95,2,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,201
+2021-07-22,浙江秀舟热电有限公司,9.42229166666667,58.698125,43.0781,6741.93,247680.98861233113,2368668.158052995,432669.67083140486,198832.4,2,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,202
+2021-07-23,浙江秀舟热电有限公司,9.546625,58.6857083333333,40.7187,6428.42,246128.18231154047,2412651.1137278215,536434.9572587565,196883.05,2,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,203
+2021-07-24,浙江秀舟热电有限公司,9.82266666666667,58.0694583333333,42.4453,6566.13,266903.3446892447,2315655.045562918,986952.9184103129,199720.441666667,2,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,204
+2021-07-25,浙江秀舟热电有限公司,10.7919166666667,56.4209166666667,28.3984,4913.60999999999,145952.26101873163,979917.8045016761,620033.7278956751,113397.420833333,2,391.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,205
+2021-07-26,浙江秀舟热电有限公司,9.98875,56.7113333333333,21.7968,3099.94,160915.07921985793,1257883.7186189978,548030.7065562531,130477.6125,2,313.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,206
+2021-07-27,浙江秀舟热电有限公司,9.36129166666667,58.0456666666667,21.2031,3677.15,128226.25888937214,981940.7423569999,96261.22189474925,102962.904166667,2,318.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,207
+2021-07-28,浙江秀舟热电有限公司,9.49845833333333,58.0930416666667,28.3593,5109.92,129175.14815106061,987100.8438880846,87444.29312600268,103489.529166667,2,399.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,208
+2021-07-29,浙江秀舟热电有限公司,8.94045833333333,59.0267916666667,34.6402,5798.47,286187.51524402195,2652170.0260715736,247925.84232851042,228831.0125,2,471.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,209
+2021-07-30,浙江秀舟热电有限公司,8.58225,58.5605416666667,42.0,6993.91,284558.3464826226,1911151.579691779,187934.75555998166,240745.133333333,2,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,210
+2021-07-31,浙江秀舟热电有限公司,9.58366666666667,59.0138333333333,41.28,6967.54,281010.2383151571,3244931.714609561,344021.33241453656,212384.916666667,2,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,211
+2021-08-01,浙江秀舟热电有限公司,9.66366666666667,58.9855416666667,40.12,6929.45,289010.27105966106,2705272.160660148,761205.8432823675,222088.416666667,2,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,212
+2021-08-02,浙江秀舟热电有限公司,9.23783333333333,59.5319583333333,42.4,7070.09,274304.13038057147,2409641.3159813876,724512.9997269855,220474.2125,2,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,213
+2021-08-04,浙江秀舟热电有限公司,8.79141666666667,58.3080416666667,28.6,4816.92,98883.77869896119,632209.5930121861,103542.81388727193,90782.2291666667,2,420.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,215
+2021-08-05,浙江秀舟热电有限公司,8.63208333333333,58.65125,20.84,4172.32,130244.29502863849,865457.4405478917,237699.4451948309,116622.6125,2,331.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,216
+2021-08-06,浙江秀舟热电有限公司,8.53091666666667,58.5829166666667,26.44,4632.33,142628.5902198327,905876.4442608729,320726.35718225036,131180.033333333,2,375.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,217
+2021-08-07,浙江秀舟热电有限公司,9.33866666666667,58.24375,25.6,4503.41,249904.41549856722,1585464.164192648,292403.0601752926,212657.966666667,2,360.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,218
+2021-08-08,浙江秀舟热电有限公司,9.90175,58.3247083333333,40.48,6683.33,294818.5760157352,2597118.133747834,361159.09070350096,235466.454166667,2,525.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,219
+2021-08-10,浙江秀舟热电有限公司,9.78391666666667,59.2304166666667,42.6,6815.18,276203.14374281204,1874759.7198564042,722281.1940150326,203457.325,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,221
+2021-08-11,浙江秀舟热电有限公司,9.794375,59.0215,42.6,6815.18,298641.76545397204,2548937.481276721,276318.1997066912,212439.183333333,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,222
+2021-08-12,浙江秀舟热电有限公司,9.40341666666667,58.1777083333333,36.28,5692.99,230058.5165524058,1662510.8423237193,497998.99437801633,176212.566666667,2,487.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,223
+2021-08-13,浙江秀舟热电有限公司,8.67141666666667,58.3055,22.04,3861.74,241901.23105192688,1629170.6050116976,125312.58922408329,191377.970833333,2,343.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,224
+2021-08-14,浙江秀舟热电有限公司,9.70120833333333,57.6627916666667,26.12,4474.1,308910.1888581478,2029899.3203490584,400125.92021013156,224214.054166667,2,373.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,225
+2021-08-15,浙江秀舟热电有限公司,9.76258333333333,58.206125,41.48,7263.47,328247.1132766814,2540092.6672084737,1274541.7641554782,236190.716666667,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,226
+2021-08-16,浙江秀舟热电有限公司,9.80179166666667,58.3582916666667,42.24,7014.42,320313.75385334797,3229819.683970991,765648.4383339027,233430.341666667,2,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,227
+2021-08-17,浙江秀舟热电有限公司,9.52791666666667,57.8874166666667,43.72,7723.48,337471.3528610627,3525956.6061877855,1447502.9655845617,249571.541666667,2,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,228
+2021-08-18,浙江秀舟热电有限公司,9.25741666666667,57.901375,43.2,7676.6,339138.66783569887,4064256.1169640296,673829.0056555148,260147.75,2,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,229
+2021-08-19,浙江秀舟热电有限公司,9.47454166666667,58.2392916666667,43.92,8074.15,281709.5231490813,2790348.5435135923,211055.4914810488,218429.379166667,2,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,230
+2021-08-20,浙江秀舟热电有限公司,9.5085,58.098,43.44,7647.3,314596.4626204065,3293095.227810319,1022107.1996652839,241622.05,2,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,231
+2021-08-21,浙江秀舟热电有限公司,9.324125,57.911375,42.96,7111.11,283943.6536394616,3436845.4086742275,264654.57700097555,223123.345833333,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,232
+2021-08-22,浙江秀舟热电有限公司,9.03479166666667,57.7783333333333,42.56,7272.26,231171.6905593173,2269265.021336148,219961.70027448528,188081.225,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,233
+2021-08-23,浙江秀舟热电有限公司,8.921125,57.7054583333333,41.52,6999.77,274900.1648840714,1979731.7166538786,499267.82364887773,221118.225,2,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,234
+2021-08-24,浙江秀舟热电有限公司,8.49283333333333,57.6745833333333,30.56,5074.76,218432.54284108037,1199566.4805358942,152627.06008342135,180127.775,2,444.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,235
+2021-08-25,浙江秀舟热电有限公司,9.27020833333333,57.1035833333333,39.28,6580.78,336263.4375340289,2129539.630830029,152236.97947653398,263246.220833333,2,513.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,236
+2021-08-26,浙江秀舟热电有限公司,8.82591666666667,57.863875,41.56,6920.66,303602.3925574858,1803232.705037409,65071.51028309596,242049.983333333,2,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,237
+2021-08-27,浙江秀舟热电有限公司,9.136125,57.9505416666667,43.6,6952.89,423138.3932440564,3583746.2662960603,82797.79603828269,334709.45,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,238
+2021-08-28,浙江秀舟热电有限公司,9.08216666666667,58.56475,43.16,6812.25,292120.90973931516,2447933.650294098,65963.16812087243,229074.75,2,534.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,239
+2021-08-29,浙江秀舟热电有限公司,9.52633333333333,58.4375416666667,42.8,6636.45,232627.5612557367,1768268.5929689673,53822.96245584919,175538.595833333,2,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,240
+2021-08-30,浙江秀舟热电有限公司,10.0279166666667,57.9852916666667,41.68,6229.18,269022.04412601487,2081669.320373956,51701.79738739241,194616.466666667,2,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,241
+2021-08-31,浙江秀舟热电有限公司,9.60241666666667,58.1220416666667,41.0,6577.85,314376.4196325505,2596975.532782437,111111.19059094184,222435.8375,2,526.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,242
+2021-09-01,浙江秀舟热电有限公司,9.22825,57.8679166666667,38.52,6375.68,297708.1125403384,2241555.6315825647,176824.7088074351,219608.195833333,2,501.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,243
+2021-09-02,浙江秀舟热电有限公司,8.68545833333333,57.958875,38.24,6029.94,312077.1714507537,1361847.53978667,241002.0285365694,245445.0875,2,507.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,244
+2021-09-03,浙江秀舟热电有限公司,9.6805,57.458875,34.2,5725.22,335496.68449117494,3175523.618804767,148199.9828009848,228460.1,2,467.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,245
+2021-09-04,浙江秀舟热电有限公司,9.94633333333333,57.7211666666667,39.68,6542.69,371271.7212992974,2665614.862115831,153974.1559416601,250536.4625,2,513.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,246
+2021-09-05,浙江秀舟热电有限公司,9.66966666666667,57.835875,37.72,5874.65,368973.117991582,3247890.247228586,161529.29965462507,255280.420833333,2,513.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,247
+2021-09-06,浙江秀舟热电有限公司,9.52616666666667,57.9047083333333,38.56,5775.03,368792.6566161298,3609670.601739029,163167.90636487273,252750.704166667,2,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,248
+2021-09-07,浙江秀舟热电有限公司,9.25604166666667,57.0152916666667,40.56,6659.89,338171.77197404235,2025103.2198090607,172183.3685608131,241712.970833333,2,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,249
+2021-09-08,浙江秀舟热电有限公司,9.61604166666667,55.5577083333333,38.56,5775.03,299956.4783901605,1795242.9593771193,209000.98765460582,230277.629166667,2,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,250
+2021-09-10,浙江秀舟热电有限公司,9.535875,55.8214166666667,26.88,4620.60999999999,288788.8124482911,1437894.587579052,278126.40993130946,212837.466666667,2,371.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,252
+2021-09-11,浙江秀舟热电有限公司,9.89975,56.2743333333333,27.72,4705.58,336154.687512524,2489375.7712147054,328008.83434727404,243615.683333333,2,379.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,253
+2021-09-12,浙江秀舟热电有限公司,9.80191666666667,56.8639166666667,39.88,6695.05,328377.41049465415,2526291.896033682,313207.9210699523,230228.116666667,2,514.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,254
+2021-09-13,浙江秀舟热电有限公司,9.62541666666667,56.256625,30.48,4983.93,197189.69978440454,1414953.1296867938,177669.2593100891,148064.9625,2,405.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,255
+2021-09-14,浙江秀舟热电有限公司,9.970875,56.468625,27.28,4482.92,295032.27670094155,1987617.5022783794,280062.8024649503,219644.175,2,374.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,256
+2021-09-15,浙江秀舟热电有限公司,9.89441666666667,56.80825,42.0,7190.22,403361.18316054787,3803372.9925483274,382641.6022919896,298672.9125,2,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,257
+2021-09-16,浙江秀舟热电有限公司,9.83083333333333,56.6685833333333,42.96,7222.45,360541.29636128206,2348161.585348474,303097.26741826214,255609.658333333,2,550.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,258
+2021-09-17,浙江秀舟热电有限公司,9.660375,56.3049583333333,41.92,7225.38,348526.3356062166,2437075.1098699453,303145.15913244465,247562.483333333,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,259
+2021-09-18,浙江秀舟热电有限公司,9.132,56.3043333333333,39.08,6782.95,288551.67742205184,1845751.331740457,285159.776277291,221725.925,2,518.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,260
+2021-09-19,浙江秀舟热电有限公司,8.270125,57.1797083333333,38.28,6791.74,284374.3658059458,1087223.10611803,235832.49730958068,232484.5875,2,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,261
+2021-09-20,浙江秀舟热电有限公司,7.66,57.3087083333333,42.96,7245.89,329046.11916337773,112629.8892268895,181666.78586546413,292183.2,2,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,262
+2021-09-21,浙江秀舟热电有限公司,8.03620833333333,56.635375,40.52,6744.86,287900.8683803889,803223.6355832553,215785.97935210663,235938.966666667,2,518.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,263
+2021-09-22,浙江秀舟热电有限公司,8.75991666666667,56.5933333333333,22.8,3800.21,456125.68662522733,2912712.777648228,377689.60800233204,353535.920833333,2,328.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,264
+2021-09-23,浙江秀舟热电有限公司,8.61908333333333,56.7712083333333,39.04,6829.83,531108.0430565494,1885850.8690151433,565725.5721191213,460581.75,2,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,265
+2021-09-24,浙江秀舟热电有限公司,8.69379166666667,56.767,42.84,7732.27,510578.76572844386,2150669.158026537,451524.0935124209,441414.483333333,2,564.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,266
+2021-09-25,浙江秀舟热电有限公司,8.44358333333333,57.08025,43.72,7600.42,531344.181380745,1406052.4598954034,433451.1567826168,465723.854166667,2,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,267
+2021-09-26,浙江秀舟热电有限公司,8.2065,56.905625,42.8,7445.13,519542.98786383355,832479.0751867371,421427.8694798763,456348.179166667,2,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,268
+2021-09-27,浙江秀舟热电有限公司,8.084875,57.412625,41.24,7207.8,534727.4191152839,886088.0401793062,408260.36064643244,471474.791666667,2,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,269
+2021-09-28,浙江秀舟热电有限公司,8.27029166666667,57.5665,42.12,7304.49,527060.7469113686,802912.8876102243,399573.09994612593,460685.708333333,2,532.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,270
+2021-09-29,浙江秀舟热电有限公司,8.36095833333333,57.6473333333333,42.56,7228.31,617378.8435421977,3107128.927839382,937198.2983083816,495754.104166667,2,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,271
+2021-10-01,浙江秀舟热电有限公司,9.077375,56.8004166666667,44.96,8485.28,534926.5944119152,2597142.131023566,912719.025734699,439919.55,2,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,273
+2021-10-02,浙江秀舟热电有限公司,7.82904166666667,57.1719583333333,40.76,7245.89,500455.6090025723,537117.0426813472,857510.1977659338,462238.5375,2,549.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,274
+2021-10-03,浙江秀舟热电有限公司,7.60204166666667,57.231125,44.24,8335.85,395717.59074627067,104852.33640406327,611284.6188620614,382646.766666667,2,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,275
+2021-10-04,浙江秀舟热电有限公司,7.54058333333333,57.681625,42.92,8165.91,413860.1942988981,619069.0362041818,696379.4680195786,394964.154166667,2,579.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,276
+2021-10-05,浙江秀舟热电有限公司,8.09829166666667,57.57125,44.84,8998.03,413933.62869365275,1342914.4737461011,1126994.1488264415,372748.625,2,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,277
+2021-10-06,浙江秀舟热电有限公司,8.049875,58.2955833333333,45.36,9088.86,428518.14600462216,3339274.804714025,774322.9736666428,367937.5625,2,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,278
+2021-10-07,浙江秀舟热电有限公司,8.54729166666667,57.8655,44.64,9830.15,420846.1545019824,4160075.39552189,1277852.352674952,352094.870833333,2,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,279
+2021-10-08,浙江秀舟热电有限公司,8.28825,58.0579166666667,42.36,9279.31,419994.52807777736,4673604.896929263,1256702.6120503817,378962.6625,2,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,280
+2021-10-10,浙江秀舟热电有限公司,8.08720833333333,58.75725,45.32,9745.18,428397.8829875908,6147092.734390879,618209.4783253311,397111.029166667,2,657.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,282
+2021-10-11,浙江秀舟热电有限公司,8.36083333333333,57.7932083333333,48.28,10035.25,480841.2418322061,6079966.272297236,719227.0391671415,404241.804166667,2,697.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,283
+2021-10-12,浙江秀舟热电有限公司,8.267125,57.3791666666667,49.16,10301.8799999999,513117.91988177894,6130917.755909069,1103360.9037058228,417965.120833333,2,720.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,284
+2021-10-13,浙江秀舟热电有限公司,7.73508333333333,58.428875,50.28,10600.74,502104.33415220724,6649860.9118364,1078823.503874574,427965.454166667,2,740.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,285
+2021-10-14,浙江秀舟热电有限公司,7.564375,59.2200833333333,50.08,10407.36,496529.5511546759,5901731.807206358,1816616.462694797,431550.120833333,2,738.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,286
+2021-10-15,浙江秀舟热电有限公司,7.83858333333333,58.5849166666667,50.68,10427.87,488864.63362319703,5513738.3924787175,1756238.6938988715,422673.233333333,2,737.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,287
+2021-10-16,浙江秀舟热电有限公司,7.95841666666667,57.63775,50.36,10448.3799999999,515566.86068688775,5697926.8013615385,1664445.7342269302,432663.825,2,736.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,288
+2021-10-17,浙江秀舟热电有限公司,7.887875,56.522,51.76,10952.34,496825.6076504107,4158995.697308507,1531078.062833137,410235.108333333,2,770.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,289
+2021-10-19,浙江秀舟热电有限公司,7.757375,56.8684583333333,50.8,11309.8,575857.7926533076,6279051.031216793,1999028.6772047197,475400.691666667,2,791.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,291
+2021-10-20,浙江秀舟热电有限公司,7.87520833333333,56.5630416666667,51.4,11227.76,539386.797901187,5468503.822433603,1946307.3939659216,438172.4,2,773.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,292
+2021-10-21,浙江秀舟热电有限公司,7.81666666666667,56.619125,45.04,10635.9,588183.171977417,6781440.938701713,2859688.1513141543,467017.566666667,2,745.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,293
+2021-10-22,浙江秀舟热电有限公司,7.57325,56.702875,47.96,11667.26,605286.9973266472,7571415.018434066,3204690.4703224925,492148.158333333,2,813.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,294
+2021-10-23,浙江秀舟热电有限公司,7.37020833333333,56.736625,52.88,11652.61,559907.0586529227,7638524.073480406,3022470.2773579042,472677.958333333,2,815.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,295
+2021-10-24,浙江秀舟热电有限公司,6.74779166666667,57.3957916666667,50.68,11409.42,550507.3020929518,8018559.694940193,3360588.35299684,487238.575,2,798.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,296
+2021-10-25,浙江秀舟热电有限公司,6.55479166666667,57.901875,53.04,12481.8,546899.7402544376,9141654.75929025,3615481.8422600487,498011.754166667,2,858.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,297
+2021-10-26,浙江秀舟热电有限公司,6.49716666666667,57.6321666666667,52.76,12839.26,536935.0903944052,7042320.275148532,3260667.6886974378,500004.391666667,2,880.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,298
+2021-10-27,浙江秀舟热电有限公司,6.57554166666667,57.648125,54.76,12549.19,548771.2014346448,8567118.8296005,2719120.625663271,495638.45,2,861.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,299
+2021-10-28,浙江秀舟热电有限公司,6.80766666666667,57.4730833333333,54.32,12549.19,545283.9279204996,8093138.746545266,1087868.933063552,489309.1,2,858.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,300
+2021-10-29,浙江秀舟热电有限公司,6.678125,57.506875,50.64,12361.67,532138.5784392519,8323436.637339428,743206.2013168694,498682.279166667,2,847.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,301
+2021-10-30,浙江秀舟热电有限公司,6.93275,57.1974166666667,53.64,12587.28,504052.69561033987,8548535.102591857,640065.954547352,485660.266666667,2,860.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,302
+2021-10-31,浙江秀舟热电有限公司,6.91775,57.6669583333333,53.28,12018.86,508443.33608293894,7101140.316425902,633017.050831845,478858.233333333,2,828.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,303
+2021-11-01,浙江秀舟热电有限公司,6.93291666666667,57.5228333333333,52.16,11828.41,494253.6398378484,5979834.36770686,778547.2393062479,464817.741666667,2,817.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,304
+2021-11-02,浙江秀舟热电有限公司,6.465625,58.15,45.0,11678.98,515227.4626190572,7190181.527224442,628202.4109423715,503885.1125,2,793.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,305
+2021-11-03,浙江秀舟热电有限公司,6.84133333333333,57.3902083333333,52.8,12657.6,470904.4348354061,4650177.965770849,461966.4764237353,481091.6,2,864.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,306
+2021-11-04,浙江秀舟热电有限公司,6.68291666666667,57.5897916666667,48.6,11866.5,455518.76079724845,4888139.052416002,469113.5330943533,480698.108333333,2,812.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,307
+2021-11-05,浙江秀舟热电有限公司,6.659,58.132875,49.7226,12221.03,466809.7876766765,6251959.874998122,550870.3021030601,493602.579166667,2,837.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,308
+2021-11-06,浙江秀舟热电有限公司,6.64945833333333,58.047375,49.6,12429.06,503339.66968619166,7800488.241468527,723166.0549678191,488517.0125,2,844.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,309
+2021-11-07,浙江秀舟热电有限公司,6.84883333333333,57.5577083333333,52.08,12572.63,537996.4175997783,9084345.288103277,1639552.385889418,492145.166666667,2,852.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,310
+2021-11-08,浙江秀舟热电有限公司,6.83891666666667,56.9467916666667,54.76,12903.72,631134.3719718523,9678552.563828306,3166873.5758812013,519525.108333333,2,879.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,311
+2021-11-09,浙江秀舟热电有限公司,6.02925,58.1138333333333,56.56,14122.6,635980.2261113304,10997266.603883976,3866065.1282417104,516529.441666667,2,965.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,312
+2021-11-10,浙江秀舟热电有限公司,7.364875,57.39125,52.76,13952.66,569635.4972295917,7803116.611176116,3350612.2387310974,446314.875,2,952.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,313
+2021-11-11,浙江秀舟热电有限公司,7.1895,57.7127083333333,33.68,11514.9,574543.9541774545,9216136.930844918,2037971.9048082244,421194.445833333,2,776.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,314
+2021-11-12,浙江秀舟热电有限公司,6.88895833333333,57.670125,54.8,14951.79,568991.7251046706,9967083.697876992,2116956.1577756815,438010.116666667,2,968.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,315
+2021-11-13,浙江秀舟热电有限公司,7.73558333333333,57.5805416666667,52.36,13796.1,529153.4868770808,8203021.759291645,3042404.6469798204,411382.570833333,2,943.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,316
+2021-11-14,浙江秀舟热电有限公司,7.51766666666667,57.4127083333333,35.08,11415.28,479016.14409597835,6688459.583333365,2159009.211422177,396555.5875,2,774.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,317
+2021-11-15,浙江秀舟热电有限公司,6.77979166666667,58.1235416666667,49.08,12563.84,504379.9824603089,9993402.96833451,2695412.1406042096,438934.133333333,2,856.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,318
+2021-11-16,浙江秀舟热电有限公司,7.39879166666667,57.5530833333333,52.44,13586.41,471587.03514127014,7822006.900309383,1905282.646445627,422350.591666667,2,820.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,319
+2021-11-17,浙江秀舟热电有限公司,7.75295833333333,57.1609583333333,51.12,11834.27,432721.11281235557,5794430.59752779,1500114.3095232246,388982.158333333,2,815.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,320
+2021-11-18,浙江秀舟热电有限公司,8.02483333333333,56.799375,36.72,10111.43,436955.133344584,4600445.100697668,2205103.4440789525,382337.475,2,708.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,321
+2021-11-19,浙江秀舟热电有限公司,7.416875,57.7611666666667,45.56,11579.36,482574.59007045184,7722110.90011194,3064978.6452678367,426216.791666667,2,780.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,322
+2021-11-20,浙江秀舟热电有限公司,7.0195,58.36125,52.56,12938.88,497994.3697608494,7633341.620075687,2227506.574286709,443376.320833333,2,872.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,323
+2021-11-21,浙江秀舟热电有限公司,7.83279166666667,57.5243333333333,51.56,13158.63,472235.3664680534,6287449.554014477,1562512.3626175134,415338.95,2,902.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,324
+2021-11-22,浙江秀舟热电有限公司,7.78195833333333,56.741875,46.2,11394.77,508066.712021258,6973454.81319408,2400888.1299753455,423072.991666667,2,795.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,325
+2021-11-23,浙江秀舟热电有限公司,7.965125,55.979875,44.72,12285.49,495400.7660607086,5254838.381000212,1668158.8153645957,383945.8375,2,854.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,326
+2021-11-24,浙江秀舟热电有限公司,7.95933333333333,56.3017083333333,33.88,11008.01,504962.92648066743,6672025.598161882,2032765.9105176209,400814.979166667,2,764.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,327
+2021-11-25,浙江秀舟热电有限公司,7.73108333333333,56.6490833333333,33.84,11125.21,489012.0238628361,5690015.155988525,1758904.5937311621,413407.683333333,2,767.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,328
+2021-11-26,浙江秀舟热电有限公司,7.705375,56.5532916666667,32.8,10779.47,450509.77595604473,6114225.702384252,1577993.9523487887,401896.425,2,750.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,329
+2021-11-27,浙江秀舟热电有限公司,7.71545833333333,56.7899166666667,32.0,11971.98,467967.95836372726,6513624.3268589,1876006.1344060907,416275.358333333,2,739.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,330
+2021-11-28,浙江秀舟热电有限公司,6.97695833333333,57.756875,34.04,10966.99,492583.65226071276,5964302.767127469,2178053.0375929996,439003.358333333,2,764.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,331
+2021-11-29,浙江秀舟热电有限公司,6.26025,58.6432916666667,51.88,12549.19,523380.573418454,9086060.07607115,2367718.7831426794,475216.291666667,2,872.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,332
+2021-11-30,浙江秀舟热电有限公司,7.19733333333333,56.8540833333333,55.36,14471.27,506980.85512706556,7698031.830757407,2837332.6466193106,483191.2375,2,913.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,333
+2021-12-01,浙江秀舟热电有限公司,7.298625,56.2665416666667,53.8,14014.19,544706.1953520926,8929441.86832823,3254300.5294661913,481745.416666667,2,881.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,334
+2021-12-03,浙江秀舟热电有限公司,6.53533333333333,56.9630416666667,48.6,14102.09,608169.6944021092,11508338.779126251,2728050.8026655093,488134.266666667,2,893.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,336
+2021-12-04,浙江秀舟热电有限公司,6.371125,57.303375,53.12,14310.12,609635.9470507005,8574242.65203795,2253691.851399507,480352.2625,2,907.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,337
+2021-12-05,浙江秀舟热电有限公司,6.40675,57.65575,48.96,13776.86,594078.3938790867,8175481.396368747,2074730.6828820645,494035.175,2,881.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,338
+2021-12-06,浙江秀舟热电有限公司,5.89695833333333,57.88175,54.16,13788.58,617494.1914206669,8319741.133941216,2099654.1434849547,497497.575,2,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,339
+2021-12-07,浙江秀舟热电有限公司,6.32825,57.4657083333333,54.72,14392.16,629024.6838957436,5916100.212652249,1870926.0057021184,497966.229166667,2,912.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,340
+2021-12-08,浙江秀舟热电有限公司,6.60233333333333,57.7856666666667,54.44,13694.82,687178.7870727807,8651576.622681174,1718075.5096454734,473957.483333333,2,889.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,341
+2021-12-09,浙江秀舟热电有限公司,7.7275,57.4394583333333,51.52,13618.64,689441.2446658475,9727312.32021775,1584457.6596876744,407383.9,2,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,342
+2021-12-10,浙江秀舟热电有限公司,8.0485,56.9982916666667,52.8,13557.11,668360.205079469,7098026.673615085,1378374.204480948,378790.366666667,2,876.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,343
+2021-12-11,浙江秀舟热电有限公司,7.60475,57.4685416666667,44.52,12308.93,657948.7458061045,9392796.989488838,2214724.560533821,417318.9625,2,797.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,344
+2021-12-12,浙江秀舟热电有限公司,8.02233333333333,57.4657083333333,54.32,13422.33,590214.489165918,9558640.491220329,2004740.8946293178,413583.7125,2,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,345
+2021-12-13,浙江秀舟热电有限公司,7.85629166666667,56.8321666666667,51.0,12713.27,543661.1034952935,7714079.105196456,1768613.2046748854,395488.45,2,840.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,346
+2021-12-14,浙江秀舟热电有限公司,7.70375,57.2349583333333,49.12,12921.3,613287.488456006,9015566.970170766,2562356.7690163865,422122.354166667,2,837.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,347
+2021-12-15,浙江秀舟热电有限公司,7.35225,57.5093333333333,52.24,13404.75,544906.972662818,8639193.610219335,2167513.703599751,415740.6,2,869.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,348
+2021-12-16,浙江秀舟热电有限公司,7.499125,57.6162916666667,50.84,13243.6,528479.1700648584,9290347.829708839,1434446.9257617,412656.2,2,853.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,349
+2021-12-17,浙江秀舟热电有限公司,7.38183333333333,56.8337083333333,54.2,13328.57,570982.6274846888,8975498.397377782,959234.2709424145,440457.025,2,868.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,350
+2021-12-18,浙江秀舟热电有限公司,7.29125,56.3267916666667,53.68,13888.2,601070.4899011316,8102958.692493869,1130084.645304927,435172.7875,2,880.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,351
+2021-12-19,浙江秀舟热电有限公司,7.53104166666667,56.3152916666667,52.16,13056.08,657327.3038942245,8867389.173565283,744658.6011398259,424814.029166667,2,846.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,352
+2021-12-20,浙江秀舟热电有限公司,7.4205,56.903125,51.56,12675.18,671472.4684670697,7722215.37109565,383856.35604028375,420675.220833333,2,824.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,353
+2021-12-21,浙江秀舟热电有限公司,7.50054166666667,56.9627083333333,51.24,12581.42,680763.5721865777,7992223.842822088,186796.51793615991,403300.458333333,2,813.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,354
+2021-12-22,浙江秀舟热电有限公司,7.04541666666667,57.3947083333333,45.6,12402.69,638633.905083068,8514362.54037455,288348.43493540416,415358.308333333,2,793.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,355
+2021-12-23,浙江秀舟热电有限公司,6.98825,58.7793333333333,51.44,12798.24,807826.4738839953,9578878.058303742,536727.0875158883,423600.629166667,2,831.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,356
+2021-12-24,浙江秀舟热电有限公司,7.269125,58.8447083333333,53.88,13706.54,783469.234880833,10006518.293393206,522749.6189837507,430427.191666667,2,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,357
+2021-12-26,浙江秀舟热电有限公司,7.84479166666667,57.3271666666667,54.88,14160.69,769489.8449953011,7439580.819469122,559501.9371663226,455380.816666667,2,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,359
+2021-12-27,浙江秀舟热电有限公司,7.78008333333333,56.669875,0.005336,14251.0,673452.379338417,6479051.667097772,316725.33547018,421215.095833333,2,901.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,360
+2021-12-28,浙江秀舟热电有限公司,7.73891666666667,56.732375,0.0034,12355.0,573284.2659046523,4530795.523426752,309147.5284622803,386609.6875,2,764.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,361
+2021-12-29,浙江秀舟热电有限公司,7.80754166666667,57.064,0.003172,12496.0,580092.4534845977,6159361.15113146,456649.2824695049,400048.229166667,2,761.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,362
+2021-12-30,浙江秀舟热电有限公司,8.95225,56.6542083333333,0.00344,12753.0,515361.77092304,6564612.608179761,673265.2304704445,395486.9,2,782.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,363
+2021-12-31,浙江秀舟热电有限公司,9.360375,55.4079166666667,0.003324,10080.0,382928.12538962706,2995954.048115704,525060.6481593056,325045.933333333,2,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,364
+2022-01-04,浙江秀舟热电有限公司,7.171625,58.242375,0.004828,13876.0,686778.9113580125,7403620.126638113,754504.6753493246,433502.525,2,872.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,3
+2022-01-05,浙江秀舟热电有限公司,7.062375,58.8659166666667,0.00506,14137.0,651869.4504878834,8680207.399468927,737661.9808070448,448353.354166667,2,894.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,4
+2022-01-06,浙江秀舟热电有限公司,6.87025,58.839375,0.005304,14841.0,606819.9684251071,9287010.257097043,173785.81895594718,460208.891666667,2,918.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,5
+2022-01-07,浙江秀舟热电有限公司,6.844625,58.546875,0.0057079999999999995,15441.0,600500.8423222305,9058737.67662341,1051364.4592414699,457412.833333333,2,962.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,6
+2022-01-08,浙江秀舟热电有限公司,7.16204166666667,58.117625,0.005236,14801.0,578619.0980433135,7834200.061146105,913326.5071228427,438217.308333333,2,920.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,7
+2022-01-10,浙江秀舟热电有限公司,7.95841666666667,57.7777083333333,0.0052759999999999994,14218.0,612453.5375781772,7089525.0394855095,1305221.547368233,458871.2625,2,901.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,9
+2022-01-11,浙江秀舟热电有限公司,8.56429166666667,57.3385833333333,0.005016,14406.0,611043.7707510848,7974592.99052392,1101724.0430108,455021.125,2,900.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,10
+2022-01-12,浙江秀舟热电有限公司,8.28825,57.3978333333333,0.005128,13669.0,614804.1390286093,8236406.978451277,1565301.181971631,457400.283333333,2,873.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,11
+2022-01-13,浙江秀舟热电有限公司,9.462,56.607,0.005232,13788.0,451878.5626939783,4174798.0683252243,2110515.0136936936,330660.0875,2,877.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,12
+2022-01-14,浙江秀舟热电有限公司,8.84920833333333,57.5132916666667,0.0054,13803.0,354311.06799375603,7396642.268866579,1326869.108705181,259130.9375,2,887.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,13
+2022-01-15,浙江秀舟热电有限公司,8.889375,57.275375,0.005056000000000001,13595.0,241459.52728392681,1970525.8793652367,331025.5551329108,240612.125,2,876.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,14
+2022-01-16,浙江秀舟热电有限公司,8.455,57.3646666666667,0.005508,14107.0,100839.06576004346,2207622.4558783486,355721.7502097441,223509.320833333,2,895.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,15
+2022-01-17,浙江秀舟热电有限公司,8.348125,57.633875,0.003672,11296.0,99360.07535756202,2181383.692636327,338412.5419411258,219950.2,2,710.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,16
+2022-01-18,浙江秀舟热电有限公司,7.83916666666667,58.2860416666667,0.00486,12738.0,98821.31096344737,1654758.7845944823,288627.4872660229,216346.758333333,2,815.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,17
+2022-01-20,浙江秀舟热电有限公司,8.48183333333333,56.0247916666667,0.005324000000000001,13177.0,238944.93362988796,1265609.9574386333,141756.19244202098,230100.583333333,2,835.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,19
+2022-01-21,浙江秀舟热电有限公司,8.03675,56.016,0.005028,12519.0,235772.31440017608,530100.6452705081,143805.56642587576,226260.579166667,2,805.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,20
+2022-01-22,浙江秀舟热电有限公司,7.92141666666667,55.4415416666667,0.005224,12472.0,226608.5436220229,474758.5859794429,125981.26109431314,218349.604166667,2,822.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,21
+2022-01-23,浙江秀舟热电有限公司,8.75633333333333,54.5743333333333,0.005136,12051.0,216438.64114717132,1168015.5095892658,142527.93617065172,210121.608333333,2,790.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,22
+2022-01-24,浙江秀舟热电有限公司,9.11016666666667,53.0310416666667,0.005111999999999999,11276.0,214010.6578691687,2183236.05834072,173095.11223706903,211378.329166667,2,751.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,23
+2022-01-25,浙江秀舟热电有限公司,13.6360416666667,42.9084583333333,0.004932,11007.0,229606.50812256502,1188455.3075535875,168782.01711756893,240801.208333333,2,672.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,24
+2022-01-26,浙江秀舟热电有限公司,15.6215833333333,36.4129166666667,0.002964,8132.0,244979.64964244445,390165.88115965395,211014.26849920984,263197.579166667,2,484.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,25
+2021-01-01,武乡西山发电有限责任公司,,,1845.0,11032.5,5526792.6204,73286200.02039999,47499232.643999994,2290111.96,2,10168.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,0
+2021-01-02,武乡西山发电有限责任公司,,,2188.0,11180.5,7281598.2304,97767059.30039999,60542342.703999996,2975016.92,2,11580.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,1
+2021-01-03,武乡西山发电有限责任公司,,,2104.0,11197.7,7514609.564399999,100030300.37989998,60758410.56019999,3073868.76,2,9778.09999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,2
+2021-01-04,武乡西山发电有限责任公司,,,2416.0,11146.6,7176100.6324000005,93102425.8782,54733077.212799996,2914952.34,2,11747.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,3
+2021-01-05,武乡西山发电有限责任公司,,,2224.0,10922.4,7495997.0496,99315731.0,60131723.4544,3042896.96,2,12417.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,4
+2021-01-06,武乡西山发电有限责任公司,,,2239.0,10984.9,6958792.1555,89105465.3983,59590671.314600006,2807600.83,2,11373.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,5
+2021-01-07,武乡西山发电有限责任公司,,,2179.0,10873.5,7966162.0842,109942049.8032,66531858.9096,3352370.58,2,11908.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,6
+2021-01-08,武乡西山发电有限责任公司,,,2040.0,10935.9,6440569.0715,95513649.8098,62115875.4217,3002990.09,2,10952.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,7
+2021-01-09,武乡西山发电有限责任公司,,,2073.0,9485.7,7577278.064100001,93206463.9892,59557852.4816,2967523.54,2,10773.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,8
+2021-01-10,武乡西山发电有限责任公司,,,838.0,8367.5,8417702.9826,103849539.6816,69078403.28220001,3325414.38,2,6177.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,9
+2021-01-11,武乡西山发电有限责任公司,,,925.0,9831.5,7282249.1448,88243186.6168,55813520.4176,2872556.46,2,4929.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,10
+2021-01-12,武乡西山发电有限责任公司,,,843.0,9864.79999999999,7498052.6608,89483290.44319999,54274643.9289,2965779.71,2,4849.59999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,11
+2021-01-13,武乡西山发电有限责任公司,,,1307.0,10155.1,7624251.3346,91572556.3694,60065414.98060001,3044576.0,2,6402.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,12
+2021-01-14,武乡西山发电有限责任公司,,,874.0,10283.2999999999,6470553.4736,78712357.3584,49843579.8948,2684876.96,2,5962.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,13
+2021-01-15,武乡西山发电有限责任公司,,,929.0,9217.4,7567286.2875,91584963.7653,60423660.24690001,2967563.25,2,4601.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,14
+2021-01-16,武乡西山发电有限责任公司,,,946.0,8768.2,7465589.270400001,92098467.2743,55639833.1599,2908535.13,2,5266.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,15
+2021-01-17,武乡西山发电有限责任公司,,,1230.0,10105.7999999999,7465589.270400001,92098467.2743,55639833.1599,2908535.13,2,6837.49999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,16
+2021-01-18,武乡西山发电有限责任公司,,,1760.0,10169.0,7357077.735599999,98370623.50690001,60802652.711500004,2900231.09,2,9924.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,17
+2021-01-19,武乡西山发电有限责任公司,,,949.0,5487.1,7386337.159500001,104339249.52090001,65443577.314500004,2925801.87,2,5665.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,18
+2021-01-20,武乡西山发电有限责任公司,,,1121.0,7225.8,7709577.415999999,78693505.454,43924420.6992,3043858.96,2,5126.29999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,19
+2021-01-21,武乡西山发电有限责任公司,,,1193.0,7738.2,7064622.3452,73330878.1112,40022747.8752,2812794.12,2,5775.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,20
+2021-01-22,武乡西山发电有限责任公司,,,1135.0,2777.8,7686666.0722,75300151.4746,42255140.9981,2987138.33,2,5375.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,21
+2021-01-23,武乡西山发电有限责任公司,,,1599.0,9044.7,7540975.604199999,76579714.29519999,41995410.5818,2924039.34,2,6229.19999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,22
+2021-01-24,武乡西山发电有限责任公司,,,2111.0,10313.5,8424411.74,89655207.1136,53169730.422199994,3271900.55,2,10828.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,23
+2021-01-25,武乡西山发电有限责任公司,,,1860.0,10491.9,8533224.7754,83531454.714,47463453.8218,3165792.0,2,9899.39999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,24
+2021-01-26,武乡西山发电有限责任公司,,,2114.0,10739.5,7779082.9322,77942686.564,38328134.8928,2944801.42,2,11248.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,25
+2021-01-27,武乡西山发电有限责任公司,,,2042.0,11230.0,4602555.3258,44398957.9828,24365749.4277,1802681.6199999999,1,10672.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,26
+2021-01-28,武乡西山发电有限责任公司,,,2013.0,10861.2,3925507.7376,37215653.4342,21559624.5276,1533401.46,1,11177.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,27
+2021-01-29,武乡西山发电有限责任公司,,,2071.0,10937.1,3988282.5970999994,38563991.4867,21021903.8883,1588957.21,1,9592.29999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,28
+2021-01-30,武乡西山发电有限责任公司,,,918.0,10355.6,4396598.9569,40990344.647599995,25543738.4264,1671710.63,1,6385.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,29
+2021-01-31,武乡西山发电有限责任公司,,,889.0,10920.8,4356438.1686,40403507.375700004,21323618.4042,1637758.71,1,4697.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,30
+2021-02-01,武乡西山发电有限责任公司,,,962.0,11014.4,4316629.509000001,38114239.8128,21567160.0283,1598751.67,1,5104.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,31
+2021-02-02,武乡西山发电有限责任公司,,,895.0,10724.2,4262876.5531,46294507.625300005,26771528.2362,1658706.83,1,5069.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,32
+2021-02-03,武乡西山发电有限责任公司,,,897.0,10840.4,4414073.9688,49468070.34,25199119.592,1691216.08,1,5214.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,33
+2021-02-04,武乡西山发电有限责任公司,,,807.0,10836.0,3888209.2984,46658511.580800004,29725987.216800004,1567826.33,1,4541.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,34
+2021-02-05,武乡西山发电有限责任公司,,,905.0,10482.2999999999,4055099.2040000004,50485985.0898,30693981.6672,1559653.54,1,4580.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,35
+2021-02-07,武乡西山发电有限责任公司,,,1490.0,10448.2999999999,4092169.9792,53792234.40400001,29470224.1244,1650068.54,1,7326.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,37
+2021-02-08,武乡西山发电有限责任公司,,,1889.0,10147.7,4191644.2424,54271651.8643,30947179.870299995,1690179.13,1,9549.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,38
+2021-02-09,武乡西山发电有限责任公司,,,1851.0,9737.9,4058573.1096000005,53494927.492800005,27758032.151200004,1629949.04,1,10085.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,39
+2021-02-10,武乡西山发电有限责任公司,,,1781.0,9927.6,4588628.8935,55514049.814500004,26111039.7585,2140486.95,1,9802.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,40
+2021-02-11,武乡西山发电有限责任公司,,,1929.0,10177.4,6096217.6111,71067346.19770001,34994966.7203,2701763.21,2,9498.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,41
+2021-02-12,武乡西山发电有限责任公司,,,1726.0,9844.1,6515712.2268,80865482.2356,38736388.089,2905279.92,2,9880.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,42
+2021-02-13,武乡西山发电有限责任公司,,,794.0,9673.0,6851753.9832,86292276.2292,45343142.971599996,3080559.46,2,5028.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,43
+2021-02-14,武乡西山发电有限责任公司,,,859.0,9848.0,6074226.844900001,74227702.2499,38808660.2272,2695042.25,2,4589.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,44
+2021-02-15,武乡西山发电有限责任公司,,,1093.0,9589.4,6109516.245100001,74942879.3489,39547418.3881,2734848.08,2,6359.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,45
+2021-02-16,武乡西山发电有限责任公司,,,1911.0,9798.0,6469552.476899999,92725380.82100001,55985623.4331,2814036.17,2,10144.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,46
+2021-02-17,武乡西山发电有限责任公司,,,2059.0,10102.1,6782232.776799999,96122003.3232,54119495.3564,2930696.04,2,10496.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,47
+2021-02-18,武乡西山发电有限责任公司,,,2020.0,9927.4,6645883.207599999,92958999.8387,56255200.3065,2890717.25,2,10415.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,48
+2021-02-19,武乡西山发电有限责任公司,,,1780.0,9709.9,5771761.5952,86400452.5635,46304477.82179999,2710059.42,2,9554.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,49
+2021-02-20,武乡西山发电有限责任公司,,,1689.0,10116.9,5511448.1776,87532012.9868,45729478.0012,2784161.0,2,8511.99999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,50
+2021-02-21,武乡西山发电有限责任公司,,,1777.0,9829.5,3346790.0828,48837140.722799994,30884698.7738,1624655.38,1,9035.49999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,51
+2021-02-22,武乡西山发电有限责任公司,,,1985.0,10059.5,3394228.2552,51712065.770399995,29167069.2714,1663837.38,1,9783.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,52
+2021-02-23,武乡西山发电有限责任公司,,,1997.0,9715.5,3541737.6518999995,51596300.1589,27785181.2973,1662787.63,1,10471.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,53
+2021-02-24,武乡西山发电有限责任公司,,,1893.0,9390.29999999999,3831837.0818,55093694.448,30619380.1836,1765823.54,1,9876.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,54
+2021-02-25,武乡西山发电有限责任公司,,,1602.0,7117.1,3246928.7292,49604069.5956,28643697.9972,1607390.46,1,10128.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,55
+2021-02-26,武乡西山发电有限责任公司,,,825.0,7314.7,3380917.134,50584960.16680001,30927341.9734,1609960.54,1,5342.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,56
+2021-02-27,武乡西山发电有限责任公司,,,963.0,7281.2,3479631.7669999995,52372504.1768,27837054.135999996,1618433.38,1,4804.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,57
+2021-02-28,武乡西山发电有限责任公司,,,950.0,7126.7,3791354.4936,57747945.758999996,34051980.173999995,1755256.71,1,4562.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,58
+2021-03-01,武乡西山发电有限责任公司,,,955.0,7132.9,3590799.807,54426265.64609999,32231703.0295,1709904.67,1,5231.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,59
+2021-03-02,武乡西山发电有限责任公司,,,865.0,7050.0,3452308.5861,51272563.8816,29716282.9971,1651822.29,1,5267.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,60
+2021-03-03,武乡西山发电有限责任公司,,,844.0,7067.6,3324282.066,48914436.114,26625916.3572,1582991.46,1,4309.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,61
+2021-03-04,武乡西山发电有限责任公司,,,805.0,7034.3,3761502.4244000004,60829388.8008,28510248.631,2183941.54,1,4516.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,62
+2021-03-05,武乡西山发电有限责任公司,,,1240.0,7095.4,6666493.2445,91749603.08610001,48755611.2289,2806803.54,2,5841.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,63
+2021-03-06,武乡西山发电有限责任公司,,,1510.0,7086.1,9394995.0059,127160899.55649999,72735683.8318,3539547.17,2,8319.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,64
+2021-03-07,武乡西山发电有限责任公司,,,1570.0,6379.1,9250357.596900001,114362653.41479999,68079995.33160001,3469737.25,2,8927.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,65
+2021-03-08,武乡西山发电有限责任公司,,,1556.0,6118.9,9160906.997200001,113183363.9564,68446425.7288,3395641.0,2,8302.59999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,66
+2021-03-09,武乡西山发电有限责任公司,,,1697.0,6144.0,9163283.8633,118296863.64230001,61065774.6047,3396783.21,2,8515.79999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,67
+2021-03-10,武乡西山发电有限责任公司,,,1657.0,5542.3,8059141.0854,95600208.4788,51584344.37279999,3027915.42,2,9174.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,68
+2021-03-11,武乡西山发电有限责任公司,,,809.0,5587.3,7980051.548400001,102597489.32859999,48826910.7824,3124218.46,2,4873.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,69
+2021-03-12,武乡西山发电有限责任公司,,,865.0,5479.7,7619103.0626,107104089.72510001,58005186.7068,3197272.5,2,4021.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,70
+2021-03-13,武乡西山发电有限责任公司,,,776.0,5489.9,7316592.3671,103445224.6645,55642434.4559,3022889.17,2,5326.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,71
+2021-03-14,武乡西山发电有限责任公司,,,766.0,5049.59999999999,8297566.7592,122302332.9274,63495296.173,3455950.84,2,3941.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,72
+2021-03-15,武乡西山发电有限责任公司,,,761.0,4530.41,8013140.745199999,116686129.4583,68059737.0474,3436820.05,2,4301.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,73
+2021-03-16,武乡西山发电有限责任公司,,,798.0,4576.26,7640531.002,104630671.28559999,56325154.151999995,3178949.96,2,4615.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,74
+2021-03-17,武乡西山发电有限责任公司,,,885.0,4888.67999999999,7659860.637600001,101649219.6144,51615125.2686,3067671.62,2,4905.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,75
+2021-03-18,武乡西山发电有限责任公司,,,797.0,5944.77,9477222.5121,108419326.1392,59002108.3099,3210643.38,2,4921.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,76
+2021-03-19,武乡西山发电有限责任公司,,,879.0,6555.86999999999,10272616.71,117756338.8725,62840799.165,3513876.75,2,4483.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,77
+2021-03-20,武乡西山发电有限责任公司,,,1233.0,6250.31,8165452.776000001,91682064.1685,42149094.2093,2887045.33,2,6733.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,78
+2021-03-21,武乡西山发电有限责任公司,,,2076.0,6179.2,7761738.824,87162740.2806,42354690.377900004,2605680.83,2,10583.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,79
+2021-03-22,武乡西山发电有限责任公司,,,2000.0,6755.11,8438558.4187,96497118.55790001,46123813.8538,2920466.37,2,9449.19999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,80
+2021-03-23,武乡西山发电有限责任公司,,,1640.0,6594.5,8548301.8975,91643534.6775,42216535.260000005,2869897.0,2,8954.19999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,81
+2021-03-24,武乡西山发电有限责任公司,,,1718.0,6396.15,9612617.3765,109544022.082,47327330.2889,3272600.29,2,9538.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,82
+2021-03-25,武乡西山发电有限责任公司,,,1707.0,6451.44999999999,9180753.894699998,96186878.7317,37148460.906100005,2973104.59,2,8861.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,83
+2021-03-26,武乡西山发电有限责任公司,,,1425.0,6371.1,9237524.0972,102423576.6913,53812297.9701,3190169.83,2,9027.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,84
+2021-03-27,武乡西山发电有限责任公司,,,1558.0,6454.9,9714441.9027,98580715.1947,41408154.693100005,3042664.37,2,7502.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,85
+2021-03-28,武乡西山发电有限责任公司,,,1501.0,6362.6,9346642.6717,94967693.7182,42218449.5035,3003150.46,2,8418.99999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,86
+2021-03-29,武乡西山发电有限责任公司,,,1676.0,6371.0,10053398.429,103279833.45179999,47848514.5916,3133419.46,2,9077.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,87
+2021-03-30,武乡西山发电有限责任公司,,,1719.0,6175.9,10272723.7158,98172571.2773,43824044.8377,3045534.41,2,9146.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,88
+2021-03-31,武乡西山发电有限责任公司,,,812.0,0.0,8614391.1231,80322068.3723,34731909.746,2651027.5,2,3958.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,89
+2021-04-01,武乡西山发电有限责任公司,,,1540.0,6303.5,10948561.453899998,129957573.7042,68745002.8758,3757941.88,2,9025.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,90
+2021-04-02,武乡西山发电有限责任公司,,,1506.0,5671.7,8867227.5864,106149566.63370001,53124558.1431,3128047.67,2,7193.09999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,91
+2021-04-03,武乡西山发电有限责任公司,,,830.0,3228.7,3739988.6972,52547563.2012,10151397.8924,1444011.08,1,5395.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,92
+2021-04-04,武乡西山发电有限责任公司,,,758.0,3108.5,3903138.3068999997,53477481.1704,19171736.8178,1495455.29,1,4053.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,93
+2021-04-05,武乡西山发电有限责任公司,,,793.0,1548.3,3574379.5058,49813464.1884,20050702.566400003,1424055.58,1,4310.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,94
+2021-04-06,武乡西山发电有限责任公司,,,812.0,0.0,3803471.0916,56479999.5838,18816359.0182,1546126.46,1,4167.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,95
+2021-04-07,武乡西山发电有限责任公司,,,852.0,110.4,4670608.9056,65105457.471999995,21389265.7836,1769170.04,1,4337.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,96
+2021-04-08,武乡西山发电有限责任公司,,,882.0,395.1,4652657.4236,56771980.822900005,19933131.6333,1593375.83,1,4487.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,97
+2021-04-09,武乡西山发电有限责任公司,,,940.0,223.71,3641797.7202,47099627.9955,20173265.3241,1433778.63,1,4521.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,98
+2021-04-10,武乡西山发电有限责任公司,,,788.0,414.5,4340535.75,54188162.099999994,20255833.5,1522995.0,1,3949.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,99
+2021-04-11,武乡西山发电有限责任公司,,,676.0,125.52,4745881.9056,63943567.9478,29302225.402000003,1797682.54,1,4358.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,100
+2021-04-12,武乡西山发电有限责任公司,,,777.0,0.0,3605816.1510999994,46494275.278,18138444.877899997,1393606.21,1,3741.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,101
+2021-04-13,武乡西山发电有限责任公司,,,908.0,0.0,3019690.0271999994,41768253.449999996,16311276.458399998,1237577.88,1,4559.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,102
+2021-04-14,武乡西山发电有限责任公司,,,892.0,0.0,3443466.0352,48464094.2376,19463653.7224,1345103.92,1,4524.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,103
+2021-04-18,武乡西山发电有限责任公司,,,805.0,0.0,2409459.728,53821306.674200006,16098202.8077,1505912.33,1,3705.39999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,107
+2021-04-19,武乡西山发电有限责任公司,,,901.0,0.0,1920147.5112,50813315.3883,15163517.8458,1411873.17,1,4589.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,108
+2021-04-20,武乡西山发电有限责任公司,,,847.0,0.0,1647741.8283999998,48538564.36879999,14005805.541399999,1396391.38,1,4713.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,109
+2021-04-21,武乡西山发电有限责任公司,,,910.0,0.0,1518627.9248,44065732.9776,16271013.479999999,1276157.92,1,4457.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,110
+2021-04-22,武乡西山发电有限责任公司,,,910.0,0.0,1865995.7040000001,49580196.9648,25266964.051200002,1382219.04,1,4857.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,111
+2021-04-23,武乡西山发电有限责任公司,,,978.0,0.0,2258921.9328,52867461.388799995,20895027.878399998,1448026.88,1,4662.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,112
+2021-04-24,武乡西山发电有限责任公司,,,1000.0,0.0,2233913.1464000004,52228323.8152,22678460.0432,1413869.08,1,5105.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,113
+2021-04-25,武乡西山发电有限责任公司,,,912.0,0.0,2370430.3608,48532163.8032,19648538.3664,1370190.96,1,5133.09999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,114
+2021-04-26,武乡西山发电有限责任公司,,,913.0,0.0,2671895.8049,46606813.0303,24099710.4373,1316204.83,1,4615.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,4160,亚临界,1200,115
+2022-01-01,国电电力邯郸东郊热电有限责任公司,6.983895833333335,49.12129166666665,1030.7,31153.0,3257516.6322000036,38043806.270325,35160729.80635001,2036233.7999999998,2,2752.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,0
+2022-01-02,国电电力邯郸东郊热电有限责任公司,6.522833333333329,48.61854166666665,1122.199999999999,33130.0,3484952.056656247,42215470.02034375,35790357.376043744,2106074.55,2,3086.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,1
+2022-01-03,国电电力邯郸东郊热电有限责任公司,6.7170208333333346,48.96035416666665,1124.499999999999,34747.0,3400450.9054812538,42605007.83063125,34114033.371931255,2127569.4000000004,2,2914.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,2
+2022-01-04,国电电力邯郸东郊热电有限责任公司,6.81560416666667,49.02933333333335,1093.2,34427.0,3592141.3090937496,39980525.51221882,29979093.523587465,2091564.9,2,2847.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,3
+2022-01-05,国电电力邯郸东郊热电有限责任公司,6.7555625,49.144291666666646,1173.199999999999,31093.0,3586249.0106750033,39290075.921587534,31316257.273049966,2137312.95,2,3014.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,4
+2022-01-06,国电电力邯郸东郊热电有限责任公司,6.824541666666665,50.6421875,1138.2,33741.0,2215846.3956062496,39315146.47768125,24369735.264600035,2082375.9,2,3353.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,5
+2022-01-07,国电电力邯郸东郊热电有限责任公司,6.709875,50.17591666666665,1149.0,34224.0,2220582.0613499964,39177227.64128743,30883921.743975,2112319.5,2,3252.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,6
+2022-01-08,国电电力邯郸东郊热电有限责任公司,6.8256250000000005,49.5711875,1069.699999999999,33204.0,2188608.9084125,37998301.607337475,32360503.22255625,2066828.25,2,2548.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,7
+2022-01-09,国电电力邯郸东郊热电有限责任公司,6.8565000000000005,49.3868958333333,1056.0,32104.0,2169250.4601812465,38225544.91475624,28240599.535243787,2041423.95,2,2394.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,8
+2022-01-10,国电电力邯郸东郊热电有限责任公司,7.1516875,49.4226458333333,996.199999999999,30612.0,2183676.4249000037,38203670.09680003,28073166.183900036,1994067.6,2,2303.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,9
+2022-01-11,国电电力邯郸东郊热电有限责任公司,6.90402083333333,49.94695833333335,1057.3000000000002,33759.0,2485837.970650003,36701307.087412536,26074660.281012505,2040290.7000000002,2,2819.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,10
+2022-01-12,国电电力邯郸东郊热电有限责任公司,6.605062500000001,49.3971666666667,1102.17,34961.0,2649775.5661937534,37196539.04278757,24520619.673043817,2081641.2,2,2612.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,11
+2022-01-13,国电电力邯郸东郊热电有限责任公司,6.918958333333335,49.506,1039.8400000000001,34724.0,2820829.5034312536,37893489.71806879,25389078.365025,2044506.15,2,2820.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,12
+2022-01-14,国电电力邯郸东郊热电有限责任公司,7.1307083333333345,49.151624999999996,1008.25,32953.0,3077068.5028125006,35990710.243731216,24155085.33795,2022557.25,2,2820.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,13
+2022-01-15,国电电力邯郸东郊热电有限责任公司,7.077354166666665,48.80275,1017.25,33676.0,3123245.2827062467,39089838.55924375,26292485.624974996,2025448.5,2,2986.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,14
+2022-01-16,国电电力邯郸东郊热电有限责任公司,7.021583333333335,49.027645833333295,1070.269999999999,33102.0,3072399.7230375,37882183.33138125,27713093.21251247,2063515.6500000001,2,3132.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,15
+2022-01-17,国电电力邯郸东郊热电有限责任公司,6.9053125,48.49654166666665,1009.64,33630.0,3049154.8713187505,37326362.14773743,25067785.036575034,2021291.1,2,2912.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,16
+2022-01-18,国电电力邯郸东郊热电有限责任公司,6.7879375,48.81583333333335,1073.4199999999992,33119.0,3533021.3143937467,40779258.437699996,32102221.18753746,2083759.65,2,3070.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,17
+2022-01-19,国电电力邯郸东郊热电有限责任公司,6.75027083333333,49.7448541666667,1117.97,31575.0,3315513.352993747,40998288.30076882,30680987.088256218,2078882.5499999998,2,3297.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,18
+2022-01-20,国电电力邯郸东郊热电有限责任公司,6.8306041666666655,49.177,1125.3400000000001,33745.0,3289174.0441874973,40725498.71452497,32751592.889062464,2118676.5,2,3359.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,19
+2022-01-21,国电电力邯郸东郊热电有限责任公司,6.640479166666665,49.79008333333336,1178.469999999999,35683.0,3916393.452825004,41684265.75907497,30646104.79029379,2179366.6500000004,2,4019.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,20
+2022-01-22,国电电力邯郸东郊热电有限责任公司,6.572895833333336,49.776083333333304,1159.25,39710.0,2963543.379887496,41620026.69801882,31497798.488574967,2146024.65,2,3923.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,21
+2022-01-23,国电电力邯郸东郊热电有限责任公司,6.9584583333333345,49.3806041666667,1085.18,38686.0,2249357.2588750026,34005263.778956264,24376213.51643119,1787562.75,2,3743.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,22
+2022-01-24,国电电力邯郸东郊热电有限责任公司,6.968270833333335,48.926375,1094.52,35901.0,2795426.3023750023,33813772.83037502,25641877.67499999,1846524.0,2,3852.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,23
+2022-01-25,国电电力邯郸东郊热电有限责任公司,6.78895833333333,49.14495833333335,1089.519999999999,37884.0,3282900.2988374964,40209751.632187575,33558359.49418747,2091790.35,2,3621.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,24
+2022-01-26,国电电力邯郸东郊热电有限责任公司,6.913479166666665,49.1171875,1075.18,35039.0,3859786.3016562527,39111977.64853757,30293904.162418716,2072011.2,2,3735.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,25
+2022-01-27,国电电力邯郸东郊热电有限责任公司,6.820520833333335,48.88997916666665,1063.21,34407.0,3684927.3096499965,39765304.556112535,31237683.584612567,2055897.6,2,3446.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,26
+2022-01-28,国电电力邯郸东郊热电有限责任公司,6.632416666666665,49.155354166666655,1099.9399999999991,34739.0,4163428.557387499,40992617.172649994,35231184.1602375,2088629.7000000002,2,3721.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,27
+2022-01-29,国电电力邯郸东郊热电有限责任公司,6.914520833333335,49.16825,1067.1499999999992,31036.0,4084923.031374997,40949539.135175034,31978064.2506375,2051150.7,2,3142.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,28
+2022-01-30,国电电力邯郸东郊热电有限责任公司,6.831770833333335,49.3572291666667,1036.609999999999,34512.0,3480797.3659000024,43994873.265587494,41782588.624806285,2037258.9,2,2820.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,29
+2022-01-31,国电电力邯郸东郊热电有限责任公司,7.017104166666664,48.58408333333335,1044.6399999999999,32355.0,3887146.557318753,44274752.04163754,37329082.19505,2064487.35,2,2966.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,30
+2022-02-01,国电电力邯郸东郊热电有限责任公司,7.46495833333333,48.32089583333335,1044.06,25894.0,3383877.174918747,40859977.593412474,34491243.28524996,2047852.2000000002,2,2895.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,31
+2022-02-02,国电电力邯郸东郊热电有限责任公司,7.444104166666665,48.552770833333355,1011.43,29247.0,3049137.665031253,39186860.46790629,32064026.533749934,2025385.5,2,2930.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,32
+2022-02-03,国电电力邯郸东郊热电有限责任公司,7.6299375,48.3656875,934.79,29802.0,3341479.236743753,39386065.14774999,29943173.241399936,1968999.15,2,2937.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,33
+2022-02-04,国电电力邯郸东郊热电有限责任公司,7.782020833333335,48.44610416666665,946.75,28991.0,3128707.6338,34980111.96846253,28346054.070949964,1970188.5,2,2867.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,34
+2022-02-05,国电电力邯郸东郊热电有限责任公司,7.184229166666665,49.03847916666665,1029.8400000000001,30418.0,3111385.2982875,36775892.84217501,28182580.448324997,2005648.3499999999,2,2916.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,35
+2022-02-06,国电电力邯郸东郊热电有限责任公司,7.313895833333335,48.82197916666665,988.54,27998.0,3455052.237431253,33081993.56364382,28079284.51770003,1975579.65,2,2947.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,36
+2022-02-07,国电电力邯郸东郊热电有限责任公司,7.41966666666667,48.461833333333345,954.6,28622.0,3439633.6949437526,36763835.173068754,29256619.181637466,1963510.9500000002,2,2754.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,37
+2022-02-08,国电电力邯郸东郊热电有限责任公司,7.390354166666665,48.7523333333333,934.79,27288.0,3257387.513581247,37441352.31302503,27389351.78844379,1923192.15,2,2485.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,38
+2022-02-09,国电电力邯郸东郊热电有限责任公司,7.280374999999999,49.12925,959.04,26718.0,3433474.547624997,36691362.43503757,28779280.928324997,1945687.5,2,2834.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,39
+2022-02-10,国电电力邯郸东郊热电有限责任公司,7.29364583333333,48.8450625,999.64,26121.0,3066034.9145312477,37502760.4041125,30100661.910943758,1991943.1500000001,2,3172.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,40
+2022-02-11,国电电力邯郸东郊热电有限责任公司,7.3972708333333355,48.86610416666665,964.95,25094.0,2696465.05621875,35932926.14683126,30186040.11183753,1944751.0499999998,2,2835.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,41
+2022-02-12,国电电力邯郸东郊热电有限责任公司,7.6910625,48.73610416666665,920.35,24801.0,2753089.549981253,36881947.83578743,22344555.1293,1922297.55,2,2787.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,42
+2022-02-13,国电电力邯郸东郊热电有限责任公司,7.74860416666667,49.1990208333333,957.53,25868.0,3269083.2981249965,38642513.38537496,28675719.16768746,1965252.0,2,2915.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,43
+2022-02-14,国电电力邯郸东郊热电有限责任公司,7.621833333333335,48.85114583333335,956.92,29989.0,3087706.4676187523,38411277.41821875,31046113.302875035,1957558.65,2,2555.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,44
+2022-02-15,国电电力邯郸东郊热电有限责任公司,7.69704166666667,49.214937500000005,910.44,27868.0,3037218.43971875,37346385.25213118,28057405.966987498,1920186.0,2,2447.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,45
+2022-02-16,国电电力邯郸东郊热电有限责任公司,7.68897916666667,48.8735,913.36,28713.0,3084248.733518747,35076522.72976875,25443500.965825,1921440.75,2,2350.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,46
+2022-02-17,国电电力邯郸东郊热电有限责任公司,7.333895833333335,48.70429166666665,964.8499999999999,31590.0,3212509.7224500026,39663405.5627625,30429353.0925,1963527.0,2,2623.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,47
+2022-02-18,国电电力邯郸东郊热电有限责任公司,7.328791666666669,48.887729166666645,1055.87,29539.0,3050258.761474997,35640070.168024965,31438184.737487536,2031894.75,2,2724.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,48
+2022-02-19,国电电力邯郸东郊热电有限责任公司,7.85520833333333,48.2208125,963.6,28892.0,2740527.4328937503,34199120.79326871,28058473.645906247,1992640.95,2,2409.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,49
+2022-02-20,国电电力邯郸东郊热电有限责任公司,7.383833333333335,48.9579583333333,964.37,28705.0,2996694.596312503,37287724.95774382,29004271.841075033,2035819.35,2,2916.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,50
+2022-02-21,国电电力邯郸东郊热电有限责任公司,7.01,48.84785416666665,1003.91,28282.0,2960574.2710375036,40475469.60315621,26974171.378712468,2032423.35,2,2996.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,51
+2022-02-22,国电电力邯郸东郊热电有限责任公司,7.2730625,48.76439583333335,1018.53,28200.0,3110036.7146249963,40629123.50477496,32992428.123374965,2042738.4,2,3209.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,52
+2022-02-23,国电电力邯郸东郊热电有限责任公司,7.224937499999999,48.79956249999999,1028.49,26429.0,3387878.3917812533,31838036.350493755,23697746.990018714,2033981.55,2,2868.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,53
+2022-02-24,国电电力邯郸东郊热电有限责任公司,7.190104166666665,48.974645833333355,1033.1899999999991,27927.0,3054718.1492125033,26167404.50161875,15515708.1955125,1982798.25,2,2921.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,54
+2022-02-25,国电电力邯郸东郊热电有限责任公司,7.462645833333335,48.1436041666667,918.49,23298.0,3373946.112968747,22144393.98426872,12492940.782193754,1884392.25,2,2584.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,55
+2022-02-26,国电电力邯郸东郊热电有限责任公司,7.310291666666664,48.4420208333333,1000.19,17986.0,3187906.7946624975,31753367.93638753,17827473.3477875,1939395.6,2,2545.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,56
+2022-02-27,国电电力邯郸东郊热电有限责任公司,7.521104166666665,48.592124999999996,965.51,19153.0,2963942.438468753,37112460.78915621,34038980.28947507,1908718.8,2,2825.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,57
+2022-02-28,国电电力邯郸东郊热电有限责任公司,7.3814375000000005,49.15791666666665,984.97,16693.0,3560514.928806247,37391429.152412534,34444341.64000001,1900445.85,2,2632.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,2250,超超临界,700,58
+2022-05-01,建投遵化热电有限责任公司,7.79583333333333,52.3208333333333,444.63,0.0,1467474.9375,10633207.093749974,10554531.28125,885255.0,1,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,120
+2022-05-02,建投遵化热电有限责任公司,7.29583333333333,53.1458333333333,516.594,0.0,1558803.2250000031,13285555.50000003,10749050.325,978615.0,1,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,121
+2022-05-03,建投遵化热电有限责任公司,7.65,51.8416666666667,410.315999999999,0.0,1427658.7999999975,11118511.600000026,9591218.800000025,842730.0,1,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,122
+2022-05-04,建投遵化热电有限责任公司,7.4625,51.8083333333333,421.908,0.0,1499974.6124999975,11645369.775,10075160.062500026,854175.0,1,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,123
+2022-05-05,建投遵化热电有限责任公司,7.19583333333333,52.3541666666667,486.317999999999,0.0,1724198.625000003,12270595.218750028,11934528.75000003,943680.0,1,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,124
+2022-05-06,建投遵化热电有限责任公司,7.43333333333333,51.4625,457.541999999999,0.0,1411858.8749999972,11690776.500000026,11802677.625,875910.0,1,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,125
+2022-05-07,建投遵化热电有限责任公司,7.33333333333333,51.025,451.14,0.0,1478429.3562500027,13120515.887499973,10682163.231249973,932910.0,1,426.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,126
+2022-05-08,建投遵化热电有限责任公司,9.31875,43.8979166666667,703.181999999999,0.0,2396737.1312500006,107269802.87500003,16113993.043750025,1522095.0,2,1873.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,127
+2022-05-09,建投遵化热电有限责任公司,7.15833333333333,44.4083333333333,444.755999999999,0.0,761011.4062500002,10812957.1875,10941660.0,794745.0,1,2350.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,128
+2022-05-10,建投遵化热电有限责任公司,6.43333333333333,44.4083333333333,552.114,0.0,1208959.375000003,13060109.1375,13143434.33749997,1162740.0,1,2636.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,129
+2022-05-11,建投遵化热电有限责任公司,6.62916666666667,43.9375,481.541999999999,0.0,1065257.8125,12097781.25,11559609.375,969720.0,1,2432.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,130
+2022-05-12,建投遵化热电有限责任公司,6.60416666666667,43.6041666666667,439.788,0.0,906076.9374999974,11889497.375000026,10517438.012499975,785415.0,1,2099.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,131
+2022-05-13,建投遵化热电有限责任公司,6.25416666666667,43.5041666666667,495.702,0.0,1045387.6124999973,11601846.9,11313310.312499972,874170.0,1,2340.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,132
+2022-05-14,建投遵化热电有限责任公司,6.375,44.5333333333333,486.624,0.0,1115339.4999999972,12963525.0,11316374.750000028,865140.0,1,2737.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,133
+2022-05-15,建投遵化热电有限责任公司,6.4375,44.5416666666667,620.46,0.0,1013003.2124999999,11419033.21875,11519457.356250027,1411650.0,1,2461.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,134
+2022-05-16,建投遵化热电有限责任公司,6.864583333333336,49.2979166666667,1021.7699999999991,0.0,2361479.468749997,26864001.6375,25428019.86874997,1774470.0,2,2615.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,135
+2022-05-17,建投遵化热电有限责任公司,7.341666666666665,49.941666666666706,864.75,0.0,2255300.774999995,22104538.18125,21628557.562499948,1608390.0,2,2593.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,136
+2022-05-18,建投遵化热电有限责任公司,6.76666666666667,48.875,1018.2660000000001,0.0,2653282.618750006,25572694.13125,24048387.53125003,1759515.0,2,2871.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,137
+2022-05-19,建投遵化热电有限责任公司,6.704166666666666,48.47708333333335,1030.47,0.0,2568589.293749997,26603044.299999937,26290891.53125003,1776315.0,2,2637.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,138
+2022-05-20,建投遵化热电有限责任公司,6.633333333333335,49.19166666666665,1031.789999999998,0.0,2593866.46875,24153074.50000006,25471910.54375003,1768695.0,2,2682.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,139
+2022-05-21,建投遵化热电有限责任公司,6.85,49.2375,1042.079999999998,0.0,2917081.606249997,29113509.568749968,23186043.56249994,1829745.0,2,2581.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,140
+2022-05-22,建投遵化热电有限责任公司,6.729166666666665,48.972916666666706,1004.838,0.0,2598572.775,27478107.75624997,24311970.81250006,1758345.0,2,2632.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,141
+2022-05-23,建投遵化热电有限责任公司,6.28125,49.58125,1172.285999999999,0.0,3329048.7750000064,30165435.38125,28604689.99374997,1975185.0,2,3187.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,142
+2022-05-24,建投遵化热电有限责任公司,6.67916666666667,49.38541666666665,1030.4520000000002,0.0,3129107.749999994,25352727.00000003,23226345.87499997,1816260.0,2,2719.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,143
+2022-05-25,建投遵化热电有限责任公司,6.816666666666665,48.2875,971.819999999999,0.0,2480569.2375,26320757.831250057,23663183.16249997,1721970.0,2,2599.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,144
+2022-05-26,建投遵化热电有限责任公司,6.741666666666665,48.272916666666646,1004.867999999999,0.0,2614804.093749997,26615958.46875,25468444.03125,1776525.0,2,2794.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,145
+2022-05-27,建投遵化热电有限责任公司,6.84375,48.51458333333335,937.445999999999,0.0,2490713.275000006,24511315.575000025,22024736.425,1701420.0,2,2401.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,146
+2022-05-28,建投遵化热电有限责任公司,6.67708333333333,49.41666666666665,1013.544,0.0,2751636.031249997,27831917.46875,26890729.46875,1821480.0,2,2611.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,147
+2022-05-29,建投遵化热电有限责任公司,6.947916666666664,49.425,923.358,0.0,2485025.775000003,24758140.612499975,22339551.712499972,1699200.0,2,2846.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,148
+2022-05-30,建投遵化热电有限责任公司,6.1625,45.175,537.57,0.0,1296292.500000003,14424304.1625,14341951.4625,986670.0,1,2981.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,149
+2022-05-31,建投遵化热电有限责任公司,5.57083333333333,46.1,672.18,0.0,1554891.4249999968,17580484.69999997,15933812.925,1045770.0,1,3560.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,2344,超临界,700,150
diff --git a/data/unit_train_data.csv b/data/unit_train_data.csv
new file mode 100644
index 0000000..c456bb3
--- /dev/null
+++ b/data/unit_train_data.csv
@@ -0,0 +1,1492 @@
+days,企业名称,r_O2,temperature,发电量（万千瓦时）,供热量（吉焦）,c_smoke,c_NO2,c_SO2,flow,燃料消耗量（吨）,生产设备类型,燃料类型,低位发热量（GJ/t）,汽轮机类型,冷却方式,额定蒸发量,压力参数,单机容量,day_of_year,week_of_year
+2018-10-01,浙江秀舟热电有限公司,9.9,51.25,15.6796,6536.83,28724.05415701449,3979906.526917947,766508.823680012,162345.192916667,323.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,273,39
+2018-10-02,浙江秀舟热电有限公司,9.4,50.6791666666667,13.3984,2484.64,22618.07362603354,2639425.25790294,518384.4708076049,140175.330833333,218.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,274,39
+2018-10-03,浙江秀舟热电有限公司,8.55,52.8083333333333,13.4023,3020.83,18176.770172728615,3231672.385566367,987080.0089023247,154686.184166667,212.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,275,39
+2018-10-04,浙江秀舟热电有限公司,10.2020833333333,48.8541666666667,12.4765,5599.23,91617.45787470677,2243444.040885948,288077.9348238511,120345.545833333,223.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,276,39
+2018-10-05,浙江秀舟热电有限公司,11.4979166666667,45.7833333333333,13.4414,4702.64999999999,299525.7436810058,3580802.44282098,55004.82482927114,162533.103541667,243.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,277,39
+2018-10-06,浙江秀舟热电有限公司,8.02083333333333,49.4375,17.0,4705.58,240303.01817406417,5931305.704315216,203105.8540914212,219555.796875,345.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,278,39
+2018-10-07,浙江秀舟热电有限公司,7.26875,50.4291666666667,31.3984,8734.33,274011.96867990954,5554177.244484774,466416.7553939887,237729.012916667,481.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,279,39
+2018-10-08,浙江秀舟热电有限公司,7.12708333333333,50.9958333333333,32.2031,9704.16,296381.34690591274,6289193.632667292,1333031.526599322,250409.313958333,522.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,280,40
+2018-10-09,浙江秀舟热电有限公司,6.92291666666667,53.6958333333333,41.1992,10556.79,331926.273332164,7134431.216477598,1362082.3420712438,265601.435,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,281,40
+2018-10-10,浙江秀舟热电有限公司,7.3875,52.4708333333333,43.5586,11640.89,293295.3253160481,8302596.351986936,1557999.0728725062,268020.1925,684.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,282,40
+2018-10-11,浙江秀舟热电有限公司,7.12916666666667,48.6791666666667,43.0,11418.12,299031.6189905362,8032289.580625776,1404882.6335649574,263319.345833333,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,283,40
+2018-10-12,浙江秀舟热电有限公司,7.17083333333333,51.1833333333333,43.4804,8250.87999999999,316558.9857863387,7845933.335287206,1348229.3135480003,258000.840208333,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,284,40
+2018-10-13,浙江秀舟热电有限公司,6.75833333333333,53.9625,43.0,10908.39,418089.77193114907,7837218.85961454,1151939.651334774,261395.978541667,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,285,40
+2018-10-14,浙江秀舟热电有限公司,6.8,49.2083333333333,43.4414,10949.41,373434.49186542165,6016161.809840295,645512.6424381675,250888.871875,678.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,286,40
+2018-10-15,浙江秀舟热电有限公司,6.43541666666667,51.8625,43.4376,10662.27,389174.87262797786,5512549.1582191195,340978.3457288021,249779.115208333,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,287,41
+2018-10-16,浙江秀舟热电有限公司,6.45416666666667,51.8916666666667,44.0429,11391.84,296285.7045070973,4391037.1339897225,466048.28393826605,235938.32,674.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,288,41
+2018-10-17,浙江秀舟热电有限公司,6.73958333333333,47.7666666666667,42.8398,10849.79,294207.3194050256,3895148.713590072,93125.55049138847,221416.265625,657.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,289,41
+2018-10-18,浙江秀舟热电有限公司,6.475,47.3,43.2382,10392.7099999999,233007.74451138356,2930521.3589524035,515964.7846061268,213728.498958333,665.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,290,41
+2018-10-19,浙江秀舟热电有限公司,6.08125,47.8583333333333,41.0,9938.56,198931.92477953137,3394727.033124381,940840.0566511013,216478.879375,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,291,41
+2018-10-20,浙江秀舟热电有限公司,8.37291666666667,49.7208333333333,42.7187,10958.2,133937.69950665446,2440202.442853811,485114.7146367339,169720.627291667,731.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,292,41
+2018-10-21,浙江秀舟热电有限公司,7.13333333333333,50.8875,20.121,5303.3,152151.20280189213,3791499.1199472575,303011.510280769,197756.5675,421.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,293,41
+2018-10-22,浙江秀舟热电有限公司,6.15,56.4208333333333,40.6406,10521.63,198791.9684141812,3860344.204074959,96787.69233245974,231334.985833333,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,294,42
+2018-10-23,浙江秀舟热电有限公司,6.11666666666667,56.4375,44.121,11860.64,238206.6901356873,4152187.3748379615,311556.4332029888,230578.985416667,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,295,42
+2018-10-24,浙江秀舟热电有限公司,6.02916666666667,56.375,44.1601,11640.89,209957.54629126488,3683130.7375252973,133465.29443489356,207587.400833333,691.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,296,42
+2018-10-25,浙江秀舟热电有限公司,5.84375,56.7875,38.0781,10679.85,164631.17336193757,3178741.609685544,228171.7042464662,218025.084166667,639.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,297,42
+2018-10-26,浙江秀舟热电有限公司,6.2875,55.5375,41.8398,11262.92,142763.4994754822,3163662.8146808404,393347.8964095315,200103.139166667,669.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,298,42
+2018-10-27,浙江秀舟热电有限公司,6.025,55.6833333333333,39.7226,10565.58,207992.16265186513,3748567.080729985,99353.72549872925,210261.525833333,649.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,299,42
+2018-10-28,浙江秀舟热电有限公司,6.22916666666667,54.9625,43.2382,11257.06,199523.60511617348,3759781.8795501683,76431.56752656853,205372.897916667,686.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,300,42
+2018-10-29,浙江秀舟热电有限公司,6.3375,55.1,43.7187,11107.63,192097.657329584,3962684.5040758816,74635.26571581549,210898.764166667,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,301,43
+2018-10-30,浙江秀舟热电有限公司,6.5875,55.3458333333333,43.082,10928.9,228689.78833494175,4082262.238763622,72480.13839507212,204559.745416667,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,302,43
+2018-10-31,浙江秀舟热电有限公司,7.65416666666667,52.5333333333333,36.3984,9305.68,173303.8055419235,2094790.5106108356,39093.39840821359,175364.86875,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,303,43
+2018-11-01,浙江秀舟热电有限公司,6.86041666666667,52.8958333333333,21.8789,6597.22,162508.22647561406,3093115.5892177355,56644.98012449247,185775.34625,510.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,304,43
+2018-11-02,浙江秀舟热电有限公司,6.55416666666667,54.7458333333333,34.7226,9751.04,179713.2248820048,3413377.439241874,158639.1377778125,196863.41,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,305,43
+2018-11-03,浙江秀舟热电有限公司,6.0375,55.5333333333333,33.5585,9838.94,237521.27058193873,3487230.7235494414,226052.05425367592,222776.254583333,564.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,306,43
+2018-11-04,浙江秀舟热电有限公司,6.1875,55.9666666666667,43.8789,11758.09,250430.89967753287,3911685.5302784094,389611.04243090376,223942.365,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,307,43
+2018-11-05,浙江秀舟热电有限公司,6.37083333333333,56.275,44.4023,11412.35,236359.28214536415,4320998.980852775,233739.91591559033,221969.5975,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,308,44
+2018-11-06,浙江秀舟热电有限公司,7.16666666666667,57.2083333333333,44.1601,11321.52,237572.03584684178,5576827.433201743,138912.6811101855,223668.017916667,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,309,44
+2018-11-07,浙江秀舟热电有限公司,11.05,48.4041666666667,31.0,9308.61,153114.85069278465,2671406.4403472976,118961.41281895539,179871.394166667,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,310,44
+2018-11-08,浙江秀舟热电有限公司,11.8166666666667,44.75,16.8789,6484.09,161913.98406557957,2587597.0651155435,464481.5345206345,186179.153333333,419.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,311,44
+2018-11-09,浙江秀舟热电有限公司,7.8875,51.8375,16.3984,6955.82,225422.18211076205,3557414.6223215694,275084.7871570487,186967.505416667,430.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,312,44
+2018-11-10,浙江秀舟热电有限公司,6.30833333333333,55.8875,35.5234,9885.82,376344.6110132971,4435828.430149127,786526.3998399762,216394.59875,555.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,313,44
+2018-11-11,浙江秀舟热电有限公司,6.4375,56.0541666666667,43.039,11599.87,334306.7544911064,4173874.4352804385,730954.7413305981,218367.694583333,624.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,314,44
+2018-11-12,浙江秀舟热电有限公司,6.46875,53.3875,43.3984,11213.1,331471.3856120262,4400142.852775912,953004.6726597024,223349.406666667,636.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,315,45
+2018-11-13,浙江秀舟热电有限公司,7.49583333333333,54.95,44.121,11869.43,229942.76958511677,2995544.33175832,342908.49656189844,169278.962083333,643.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,316,45
+2018-11-14,浙江秀舟热电有限公司,8.48125,47.7625,22.0781,6809.32,162175.9797120432,2708456.036764481,82596.3137257494,139949.143125,428.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,317,45
+2018-11-15,浙江秀舟热电有限公司,8.19583333333333,48.825,20.8404,6692.12,239174.4386104915,3694980.0325291296,572653.755404363,178771.675,432.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,318,45
+2018-11-16,浙江秀舟热电有限公司,6.69375,53.6958333333333,34.6406,9774.48,329454.6320208513,3452474.4198507587,544794.1969965966,213003.634166667,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,319,45
+2018-11-17,浙江秀舟热电有限公司,6.33125,49.4875,44.7187,11579.36,304092.397134395,3309855.328389302,186571.8898469999,214711.8725,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,320,45
+2018-11-18,浙江秀舟热电有限公司,6.77083333333333,54.8875,44.8828,11901.66,234889.28075273245,2860826.7067609457,244606.83667149208,208062.848333333,683.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,321,45
+2018-11-19,浙江秀舟热电有限公司,6.45833333333333,53.7583333333333,44.8789,11617.45,228539.69911975664,2705007.619769574,382059.94503383536,195173.254166667,639.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,322,46
+2018-11-20,浙江秀舟热电有限公司,6.15,51.3666666666667,41.3593,11509.04,258645.68293969057,2886444.3276471263,200139.19957953697,196285.075208333,677.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,323,46
+2018-11-21,浙江秀舟热电有限公司,6.97916666666667,57.3833333333333,43.8007,11840.13,83885.80730553248,5424973.529272211,749070.2654664733,279708.040416667,677.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,324,46
+2018-11-22,浙江秀舟热电有限公司,8.32083333333333,53.075,43.121,11280.5,134617.03331858388,6174316.509762093,451993.49378763343,259171.2025,639.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,325,46
+2018-11-24,浙江秀舟热电有限公司,6.65416666666667,55.9208333333333,43.8398,11948.54,212855.45663891913,5933659.392440878,151814.08959290036,252420.035,663.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,327,46
+2018-11-25,浙江秀舟热电有限公司,6.25833333333333,54.575,44.64,11594.01,223056.6839981548,4776689.064662217,192259.00986236896,216364.465,675.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,328,46
+2018-11-26,浙江秀舟热电有限公司,6.1875,51.4166666666667,44.2389,11995.42,205182.50062746857,4496368.867634559,476453.46518001717,213430.93625,701.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,329,47
+2018-11-27,浙江秀舟热电有限公司,6.42083333333333,54.7541666666667,43.4804,11517.83,198684.82067494336,3963724.2949429806,420922.57329818094,197507.922916667,640.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,330,47
+2018-11-28,浙江秀舟热电有限公司,6.23333333333333,55.5958333333333,40.7617,10902.53,264234.3608580428,5145690.783474252,94683.20040650778,268746.591666667,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,331,47
+2018-11-29,浙江秀舟热电有限公司,6.54583333333333,54.225,43.7968,11010.94,207293.25334166133,3058323.8012127,128940.3313827252,193903.5425,613.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,332,47
+2018-11-30,浙江秀舟热电有限公司,6.35833333333333,53.9458333333333,43.3632,11262.92,155423.5631246429,1318202.6636055342,160355.6873015455,176375.09125,686.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,333,47
+2018-12-01,浙江秀舟热电有限公司,5.93333333333333,56.2583333333333,40.5976,10492.33,175970.4094150171,3172761.204631692,100243.6017256883,184424.71,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,334,47
+2018-12-02,浙江秀舟热电有限公司,5.98333333333333,44.1375,41.9218,10644.69,191295.74448888545,1978283.7924583443,54527.44797637222,184867.903333333,620.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,335,47
+2018-12-03,浙江秀舟热电有限公司,6.18541666666667,52.4291666666667,43.2382,10685.71,187944.91696438318,1924080.0418452728,56328.661852252226,183628.644375,688.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,336,48
+2018-12-04,浙江秀舟热电有限公司,6.45416666666667,52.0583333333333,40.6406,10981.64,146684.43720434324,2408054.836457849,55504.12317744167,200344.655833333,684.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,337,48
+2018-12-05,浙江秀舟热电有限公司,6.3125,47.1625,45.2812,11670.19,122204.97275677728,1864548.07473525,46079.4217274888,182589.373333333,751.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,338,48
+2018-12-06,浙江秀舟热电有限公司,8.65833333333333,50.4583333333333,33.4804,9812.57,58978.47023059467,1755465.2476840802,96789.21732305722,111359.595416667,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,339,48
+2018-12-07,浙江秀舟热电有限公司,8.6375,50.225,10.0781,5200.75,155938.34392495255,3614710.173775443,107535.81257489412,215245.129166667,339.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,340,48
+2018-12-08,浙江秀舟热电有限公司,7.74583333333333,51.2958333333333,43.7187,11605.73,470907.08098466217,8701560.540593851,120952.16121181373,286016.56375,739.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,341,48
+2018-12-09,浙江秀舟热电有限公司,6.55416666666667,52.75,45.4804,12121.41,242370.69579059078,3976190.546999814,68057.8126391336,216024.74625,758.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,342,48
+2018-12-10,浙江秀舟热电有限公司,6.14791666666667,51.4833333333333,45.0,11658.47,124748.8335614171,3787695.392327297,66424.18795297609,225460.326875,719.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,343,49
+2018-12-11,浙江秀舟热电有限公司,6.86666666666667,52.9875,42.1171,11596.94,118464.33973190901,2139083.548932809,42125.53824727756,208975.799166667,751.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,344,49
+2018-12-12,浙江秀舟热电有限公司,7.72083333333333,50.8875,44.0429,12191.73,213445.82468947367,5257411.549700498,83825.3548801158,250071.046666667,751.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,345,49
+2018-12-13,浙江秀舟热电有限公司,8.13333333333333,49.4791666666667,42.1171,11596.94,219844.5836966756,3964612.899120867,73046.55706795357,248636.172916667,750.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,346,49
+2018-12-14,浙江秀舟热电有限公司,8.3125,31.925,44.0429,12191.73,155630.33339131624,2523181.3320338423,116520.55770240672,154137.076666667,767.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,347,49
+2018-12-15,浙江秀舟热电有限公司,6.875,45.275,44.4804,11737.58,156127.43029200227,1934593.3683904337,43991.706877857025,184789.47875,749.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,348,49
+2018-12-16,浙江秀舟热电有限公司,7.125,52.7208333333333,45.1992,12572.63,170037.24612262985,2250618.0454433262,44163.58731825194,211904.834166667,795.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,349,49
+2018-12-17,浙江秀舟热电有限公司,7.39583333333333,52.9416666666667,45.0,12347.02,197986.0007938623,2650113.596739345,53717.71115878761,213081.585833333,754.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,350,50
+2018-12-18,浙江秀舟热电有限公司,7.76666666666667,12.3833333333333,42.7187,11966.12,59425.569263364916,797274.3060077062,17222.55401627541,48431.8016666667,734.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,351,50
+2018-12-19,浙江秀舟热电有限公司,7.7,26.2,44.8789,12244.47,114819.97114056117,1560510.3778760594,33026.502503058924,106484.298333333,715.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,352,50
+2018-12-20,浙江秀舟热电有限公司,7.08333333333333,54.3708333333333,45.7226,11825.48,85681.14703827091,1405287.2186732304,54142.90492149831,77547.70875,679.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,353,50
+2018-12-21,浙江秀舟热电有限公司,5.86666666666667,55.6708333333333,43.7187,11262.92,51519.537633202905,630928.8281000366,21102.50280448429,45021.7808333333,736.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,354,50
+2018-12-22,浙江秀舟热电有限公司,5.52083333333333,56.075,44.082,10882.02,46438.8433646895,532578.9186891975,20882.92428441822,44117.1833333333,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,355,50
+2018-12-23,浙江秀舟热电有限公司,5.9125,54.9541666666667,41.3593,11172.09,54120.266641619884,684265.8497502572,24296.677364926854,44551.5816666667,620.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,356,50
+2018-12-24,浙江秀舟热电有限公司,6.15833333333333,54.1333333333333,45.7968,11564.71,54008.41600755153,551032.0642189817,20735.374002899258,44527.0529166667,667.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,357,51
+2018-12-25,浙江秀舟热电有限公司,6.40416666666667,52.9791666666667,45.6406,11799.11,54207.958962474724,490197.3015867,20345.68677459507,44882.92,679.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,358,51
+2018-12-27,浙江秀舟热电有限公司,6.46666666666667,53.1916666666667,44.4023,11468.02,51566.440535535614,669176.6626245741,20586.9566086018,43493.77375,695.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,360,51
+2018-12-28,浙江秀舟热电有限公司,7.225,52.9916666666667,44.4375,12162.43,57714.71697952249,619102.0031321633,21675.86108108021,41636.4633333333,715.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,361,51
+2018-12-29,浙江秀舟热电有限公司,7.6875,52.2875,42.0,11717.07,56807.26637777103,701059.1126519627,30987.163227467823,43256.3029166667,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,362,51
+2018-12-30,浙江秀舟热电有限公司,6.59166666666667,53.9333333333333,45.3593,12197.59,77157.78735773,1018005.7594989507,17256.451197434206,45794.0820833333,715.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,363,51
+2018-12-31,浙江秀舟热电有限公司,6.175,55.3833333333333,44.8398,12235.68,66978.25060785555,735358.4328052344,12782.244226644707,50941.3420833333,725.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,364,52
+2019-01-01,浙江秀舟热电有限公司,6.90833333333333,53.6958333333333,41.4804,10331.18,66771.75255583397,605565.8041926544,10661.610438802547,48842.6529166667,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,0,0
+2019-01-02,浙江秀舟热电有限公司,7.11666666666667,53.1833333333333,44.4414,9718.81,81464.96723423625,790253.6205016552,17121.94156933734,51658.4141666667,602.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,1,0
+2019-01-03,浙江秀舟热电有限公司,7.19583333333333,52.975,39.3593,11535.41,92255.12947375512,1120054.1510859441,193893.47297090868,56227.1916666667,686.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,2,0
+2019-01-04,浙江秀舟热电有限公司,7.15,51.075,45.039,12165.36,84123.86899414973,1144445.8503366497,124448.35602191684,55671.3010416667,728.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,3,0
+2019-01-05,浙江秀舟热电有限公司,7.66666666666667,51.1291666666667,45.8007,12414.41,71634.70633347944,824611.978173193,52196.43702190188,55352.06125,718.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,4,0
+2019-01-06,浙江秀舟热电有限公司,7.85,50.5583333333333,43.5195,11816.69,76388.19004894816,734442.9241322031,55384.13061362036,55446.7322916667,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,5,0
+2019-01-07,浙江秀舟热电有限公司,6.93125,49.8666666666667,42.6406,11283.43,77185.25993235594,1186334.7314645809,104768.03865755492,54761.300625,662.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,6,0
+2019-01-08,浙江秀舟热电有限公司,7.01458333333333,44.9375,42.2421,11793.25,84976.95057074334,1327053.282157634,156462.23033139633,54515.6225,694.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,7,1
+2019-01-09,浙江秀舟热电有限公司,6.90833333333333,50.1208333333333,43.1992,11942.68,77925.81641802714,1056581.9453349833,31406.350046347114,53816.5572916667,678.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,8,1
+2019-01-10,浙江秀舟热电有限公司,7.5,53.8333333333333,43.6796,12054.02,74118.19254364529,848962.3667130026,27711.622103795922,54059.4658333333,672.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,9,1
+2019-01-11,浙江秀舟热电有限公司,8.80833333333333,51.3083333333333,41.8398,11816.69,73575.33081649168,787972.3449723617,39069.44418389459,54642.5204166667,721.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,10,1
+2019-01-12,浙江秀舟热电有限公司,8.75833333333333,51.4833333333333,39.0,9745.18,73367.22000686896,909971.6778786263,16074.195306669288,54332.51125,613.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,11,1
+2019-01-13,浙江秀舟热电有限公司,8.475,51.9583333333333,34.7578,10337.04,77281.85005314404,1033562.4890263358,19530.883392143554,54392.7795833333,638.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,12,1
+2019-01-14,浙江秀舟热电有限公司,7.87083333333333,52.8458333333333,42.5625,11151.58,81461.70705945468,796922.1776883805,15863.994604179472,54040.16875,654.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,13,1
+2019-01-16,浙江秀舟热电有限公司,8.04166666666667,51.2208333333333,40.1992,11547.13,73209.15495384384,1024296.2153266738,17514.690247666505,53200.2816666667,730.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,15,2
+2019-01-18,浙江秀舟热电有限公司,9.35,47.4041666666667,42.3203,11629.17,75227.2217170509,802274.5062660389,34314.17130953211,53624.9204166667,725.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,17,2
+2019-01-19,浙江秀舟热电有限公司,7.37291666666667,51.9083333333333,43.6406,10618.32,71369.4295954364,891285.4503663784,22709.326697392324,54529.4145833333,637.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,18,2
+2019-01-20,浙江秀舟热电有限公司,7.98333333333333,55.95,42.5976,10457.17,82040.2064745553,1004675.8936194103,29525.51486426034,58610.685,593.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,19,2
+2019-01-21,浙江秀舟热电有限公司,8.25625,49.3833333333333,41.2421,9897.54,88365.05413730466,824824.5149180195,29995.571854439833,58274.76625,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,20,2
+2019-01-22,浙江秀舟热电有限公司,8.60416666666667,53.0458333333333,40.5195,9595.75,83033.50239687569,898620.0387902175,27338.828067561666,49178.21875,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,21,3
+2019-01-23,浙江秀舟热电有限公司,8.57916666666667,53.2333333333333,41.5585,9604.54,80575.19396317635,979275.5161918622,31731.851439229522,49042.6895833333,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,22,3
+2019-01-25,浙江秀舟热电有限公司,9.75416666666667,51.1958333333333,32.5585,7969.6,72685.63352069532,992529.5353925742,46954.22875100517,57611.8391666667,550.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,24,3
+2019-01-26,浙江秀舟热电有限公司,9.23333333333333,52.0291666666667,36.9218,9634.70999999999,74659.2710119187,1239088.7755371428,32839.46611759889,58047.00375,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,25,3
+2019-01-27,浙江秀舟热电有限公司,8.29583333333333,52.2375,40.8007,8983.37999999999,64759.323463168774,1048606.0000331744,25681.466496626257,57503.2395833333,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,26,3
+2019-01-28,浙江秀舟热电有限公司,9.59166666666667,51.5958333333333,38.5585,8529.23,67132.55901907057,1574314.1095828952,27017.7660837487,58489.2391666667,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,27,3
+2019-01-29,浙江秀舟热电有限公司,9.38333333333333,52.625,37.7617,8412.03,69459.81655450226,1359872.0141537897,24284.5174905297,57902.42375,515.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,28,4
+2019-01-30,浙江秀舟热电有限公司,9.00416666666667,51.7125,38.5976,8514.58,116494.923482991,1609680.4057654827,34778.54927968712,107292.229166667,545.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,29,4
+2019-01-31,浙江秀舟热电有限公司,10.2041666666667,50.7375,39.8828,8497.0,56639.87692882601,967273.9299611978,19907.67123489737,57839.7333333333,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,30,4
+2019-02-01,浙江秀舟热电有限公司,10.7291666666667,50.7,39.7187,7966.67,69285.56243894242,1193293.4992541815,49553.09882062967,57148.20375,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,31,4
+2019-02-21,浙江秀舟热电有限公司,12.3333333333333,40.35,28.7617,7064.0,141035.10278822196,2846334.1291069104,96032.22592738524,214594.98125,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,51,7
+2019-02-22,浙江秀舟热电有限公司,12.2833333333333,38.9208333333333,0.0,5282.79,119354.78711212023,1785873.349239541,2511.8794300581967,221156.092083333,278.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,52,7
+2019-02-23,浙江秀舟热电有限公司,12.125,39.4625,0.0,5780.89,117933.28253017523,2043945.819228184,2422.142488225964,228358.41625,300.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,53,7
+2019-02-24,浙江秀舟热电有限公司,12.0125,40.0208333333333,0.0,6059.24,178813.18641287423,944313.7238721901,600.3320407146721,234900.615833333,330.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,54,7
+2019-02-25,浙江秀舟热电有限公司,12.05,40.7125,0.0,6232.11,205771.26762320852,576493.9936636175,1496.1982675767865,241595.855,345.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,55,7
+2019-02-26,浙江秀舟热电有限公司,12.0666666666667,41.3708333333333,0.0,6059.24,137058.43178108733,781999.0024211918,103357.01594536963,247876.993333333,348.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,56,8
+2019-02-27,浙江秀舟热电有限公司,11.6833333333333,42.0625,0.0,6170.58,136324.9667752514,1490631.8564382156,126805.79869164954,240761.27875,350.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,57,8
+2019-02-28,浙江秀舟热电有限公司,12.3,41.6208333333333,0.0,6378.61,184933.06307588384,962853.7813106952,389332.76437028084,233006.495416667,354.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,58,8
+2019-03-04,浙江秀舟热电有限公司,3.66541666666667,6.53333333333333,8.9199,5901.02,1418282.939940957,1287007.7416535479,10053851.530411556,249879.476666667,399.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,62,8
+2019-03-05,浙江秀舟热电有限公司,9.53333333333333,50.9666666666667,22.56,9417.02,89724.52474300146,1370224.8239258113,27921.654071315344,312851.597916667,506.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,63,9
+2019-03-06,浙江秀舟热电有限公司,10.5625,49.9791666666667,24.5601,9109.37,89323.9509564866,1805976.2418867745,49202.897051964195,324891.870416667,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,64,9
+2019-03-07,浙江秀舟热电有限公司,12.5166666666667,46.7416666666667,24.0801,9208.99,111808.14173357995,1478427.8644626562,27919.869684910092,359973.3225,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,65,9
+2019-03-08,浙江秀舟热电有限公司,11.9083333333333,47.375,23.72,8514.2,97167.73976944595,1118065.533986158,74629.50066516931,364163.614583333,554.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,66,9
+2019-03-09,浙江秀舟热电有限公司,15.325,53.4375,28.9199,9660.20999999999,105555.78168914304,658791.0141928203,235486.89449124056,302719.334583333,658.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,67,9
+2019-03-10,浙江秀舟热电有限公司,21.6666666666667,61.3875,34.48,10140.73,57844.8179823344,135.17776354196917,10419.95260636012,164801.620833333,681.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,68,9
+2019-03-11,浙江秀舟热电有限公司,12.075,46.5,33.28,9847.73,177319.10546572847,838273.8914467504,67921.81141229966,116068.467916667,658.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,69,9
+2019-03-12,浙江秀舟热电有限公司,20.2041666666667,44.7833333333333,33.3999,9381.86,39851.57250525778,24936.38759890051,279966.3448855754,111820.222916667,657.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,70,10
+2019-03-14,浙江秀舟热电有限公司,8.70416666666667,29.6666666666667,26.6799,7582.84,49044.71095589314,251750.93943160956,57112.26502034018,49804.2741666667,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,72,10
+2019-03-16,浙江秀舟热电有限公司,11.6916666666667,45.7083333333333,13.72,4210.41,87090.34092050564,842997.6868103651,86304.43900766301,57676.0616666667,315.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,74,10
+2019-03-17,浙江秀舟热电有限公司,11.7583333333333,46.7166666666667,37.2,11134.0,91442.64878143919,611448.821705848,8622.434336725108,57025.91125,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,75,10
+2019-03-18,浙江秀舟热电有限公司,11.3958333333333,47.7416666666667,37.6001,11239.48,75396.24474171507,241780.03253617266,4818.102270927776,56578.4341666667,693.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,76,10
+2019-03-21,浙江秀舟热电有限公司,12.025,47.4583333333333,37.0798,10665.2,78466.29235154667,261666.6317743712,6157.758627792673,56243.6225,671.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,79,11
+2019-03-22,浙江秀舟热电有限公司,11.975,46.5291666666667,38.8801,10920.11,74091.45897791361,422726.0769442696,19367.802852188895,56584.3529166667,698.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,80,11
+2019-03-23,浙江秀舟热电有限公司,11.7416666666667,46.3875,38.5601,11301.01,75766.8125679886,263286.6462305304,7730.071713782512,56405.3233333333,694.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,81,11
+2019-03-24,浙江秀舟热电有限公司,11.8416666666667,46.575,38.5198,11523.69,75789.9887075425,323041.53301694087,8528.129520970531,56111.9141666667,732.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,82,11
+2019-03-25,浙江秀舟热电有限公司,11.7125,47.4208333333333,36.2002,11031.45,75371.65761084689,485391.87857948605,11634.015458597753,55949.8925,683.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,83,11
+2019-03-26,浙江秀舟热电有限公司,11.5416666666667,48.1208333333333,37.6399,11415.28,269954.5082554298,1486495.1616594968,33752.80266740853,190826.797916667,708.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,84,12
+2019-03-27,浙江秀舟热电有限公司,11.75,49.4375,38.3601,11500.25,575288.3540583479,2476939.2152273967,79032.75762965121,412166.646666667,717.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,85,12
+2019-03-28,浙江秀舟热电有限公司,11.9208333333333,48.8708333333333,38.8799,11573.5,604182.3728844898,2255623.989918899,74071.4949972717,413923.065,715.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,86,12
+2019-03-29,浙江秀舟热电有限公司,12.1791666666667,48.8916666666667,38.9199,11506.11,570487.1484027815,2328209.4863736276,169922.9351868786,415097.250416667,695.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,87,12
+2019-03-30,浙江秀舟热电有限公司,12.1625,48.5416666666667,38.7202,11051.96,626096.9078275413,1709302.05255192,75184.7004925937,414776.35,714.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,88,12
+2019-03-31,浙江秀舟热电有限公司,12.325,47.8458333333333,38.5999,10817.56,649023.0935793227,1447535.662632735,78678.67130215043,426423.460416667,706.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,89,12
+2019-04-01,浙江秀舟热电有限公司,12.3791666666667,47.6958333333333,38.76,11532.48,586423.654545556,1686741.1972488165,94434.32634642976,421298.5725,744.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,90,12
+2019-04-02,浙江秀舟热电有限公司,12.1541666666667,48.525,38.6799,11327.38,616909.336228019,2707767.160425553,90859.11706455075,423217.62875,687.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,91,13
+2019-04-03,浙江秀舟热电有限公司,13.2708333333333,47.0416666666667,38.3601,11368.4,508616.4680984494,2384127.2802809407,86542.82999722553,397306.079166667,733.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,92,13
+2019-04-04,浙江秀舟热电有限公司,12.375,48.6291666666667,33.8401,9991.29999999999,540822.4250443927,2525218.9135951526,191472.229033822,423968.018333333,620.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,93,13
+2019-04-05,浙江秀舟热电有限公司,12.6541666666667,48.1125,38.76,11497.32,634080.0527559539,2164247.9209354715,30298.33470554512,409288.9925,723.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,94,13
+2019-04-06,浙江秀舟热电有限公司,12.35,43.3541666666667,38.5999,9962.0,570797.2342852565,1578810.7824276558,75492.9439913599,348875.544583333,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,95,13
+2019-04-11,浙江秀舟热电有限公司,20.825,34.325,0.0,3580.46,300325.06976893434,678660.4378900294,226635.42334725405,237605.090833333,223.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,100,14
+2019-04-12,浙江秀舟热电有限公司,16.7291666666667,39.6916666666667,0.0,3776.77,329781.6025276611,2058276.7828011464,1329125.5090431205,258100.435,243.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,101,14
+2019-04-13,浙江秀舟热电有限公司,13.875,45.0625,15.76,4682.14,278176.43553002726,1869199.2381115048,290214.48010851943,226372.740833333,319.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,102,14
+2019-04-14,浙江秀舟热电有限公司,13.0708333333333,45.9083333333333,18.8398,4816.92,271124.7379433066,2448223.913599568,147819.80472897028,226519.69875,332.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,103,14
+2019-04-15,浙江秀舟热电有限公司,10.6791666666667,50.0625,18.4402,4567.87,459798.7626609545,6069343.66712456,649078.1801180879,339724.455416667,312.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,104,14
+2019-04-16,浙江秀舟热电有限公司,9.98333333333333,52.8958333333333,35.2798,10671.66,454664.65597994765,8042722.219064874,220999.21612490155,376246.231666667,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,105,15
+2019-04-17,浙江秀舟热电有限公司,9.80833333333333,53.8875,38.1599,10046.9699999999,495992.43211269943,7743810.906298949,225670.52264008523,383536.28875,675.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,106,15
+2019-04-18,浙江秀舟热电有限公司,9.99583333333333,53.7166666666667,38.1602,11057.82,515213.53214948764,7892160.740836394,295524.3975997198,392043.975833333,704.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,107,15
+2019-04-19,浙江秀舟热电有限公司,10.0958333333333,53.9125,38.3999,10999.22,482102.29785938334,7470402.817148779,124500.42571885738,385432.046666667,711.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,108,15
+2019-04-20,浙江秀舟热电有限公司,9.7875,54.525,37.7603,10671.06,447522.3620796686,7446844.156906583,128492.5565541808,382396.199583333,673.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,109,15
+2019-04-21,浙江秀舟热电有限公司,9.875,54.2916666666667,37.7998,10583.16,459012.2613770275,5859062.196785828,110123.16912538478,355956.850833333,717.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,110,15
+2019-04-22,浙江秀舟热电有限公司,9.21875,50.7208333333333,37.8398,10134.87,462154.80096789595,5849052.746261399,128676.12820943745,363944.4575,642.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,111,15
+2019-04-23,浙江秀舟热电有限公司,9.85,51.6125,37.2002,10974.12,390365.7899128858,4557260.296476683,108273.73534531756,323219.084375,721.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,112,16
+2019-04-24,浙江秀舟热电有限公司,10.0270833333333,50.0875,32.5601,9651.42,562292.7754932126,4971251.893688391,123296.0415536796,370029.045833333,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,113,16
+2019-04-27,浙江秀舟热电有限公司,9.74583333333333,52.55,38.0,10301.8799999999,620419.1123842057,5856751.555828562,90916.15105022409,346469.47125,648.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,116,16
+2019-04-28,浙江秀舟热电有限公司,9.90416666666667,50.8708333333333,36.2002,9841.87,604211.0649633055,6716551.78533591,182678.0175037217,332710.084791667,658.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,117,16
+2019-04-29,浙江秀舟热电有限公司,10.1416666666667,55.9958333333333,36.5215,9264.66,744556.4748544784,7307964.381146816,270834.63488842634,392781.94625,620.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,118,16
+2019-04-30,浙江秀舟热电有限公司,10.0875,52.3333333333333,43.5981,10591.95,600105.5992797574,3649384.608720231,309671.1700385562,382949.447916667,720.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,119,17
+2019-05-01,浙江秀舟热电有限公司,10.7166666666667,50.7958333333333,45.4433,44087.12,596687.320993676,2982918.447317956,213250.65968357495,326240.659166667,710.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,120,17
+2019-05-02,浙江秀舟热电有限公司,10.6291666666667,49.9625,23.7176,8218.65,680681.0968335454,3230709.197283752,490070.8649844963,344853.555,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,121,17
+2019-05-03,浙江秀舟热电有限公司,9.4125,52.3833333333333,40.2406,9504.92,845935.4412209527,7320631.243119196,334700.1614810762,370940.754166667,634.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,122,17
+2019-05-04,浙江秀舟热电有限公司,9.25416666666667,54.3958333333333,45.3182,10492.33,714416.0925476091,5430728.01726576,159512.48420019052,340766.17375,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,123,17
+2019-05-05,浙江秀舟热电有限公司,8.62083333333333,55.9166666666667,38.5209,9894.61,685551.7987394427,4061049.816496468,87203.26207057468,351018.494166667,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,124,17
+2019-05-06,浙江秀舟热电有限公司,9.10833333333333,54.6375,44.2382,11128.14,779669.466523461,4214681.225191501,167773.65809113928,375479.020833333,661.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,125,17
+2019-05-07,浙江秀舟热电有限公司,9.72083333333333,48.1625,44.5195,11180.88,911184.7587346896,5901046.253273146,175769.82047463334,382613.532083333,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,126,18
+2019-05-08,浙江秀舟热电有限公司,9.72708333333333,50.1708333333333,43.9219,10958.0,880491.6008159551,4951111.307324913,669243.5395939201,380247.295625,666.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,127,18
+2019-05-09,浙江秀舟热电有限公司,10.1041666666667,50.3791666666667,38.9195,10741.38,832209.8238567836,6064032.520116005,537106.4743765335,371455.932291667,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,128,18
+2019-05-10,浙江秀舟热电有限公司,10.06875,50.1083333333333,44.039,9868.24,692783.9093382333,4132981.482828631,91819.13651626419,344292.408333333,640.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,129,18
+2019-05-11,浙江秀舟热电有限公司,9.87916666666667,52.1958333333333,38.9218,9912.19,749854.6497927181,3580404.7236036942,194299.22032383128,344261.073333333,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,130,18
+2019-05-12,浙江秀舟热电有限公司,10.4041666666667,51.5458333333333,42.2382,10152.45,1619261.7096131216,3663546.6922099255,171786.72921845128,325230.913333333,660.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,131,18
+2019-05-13,浙江秀舟热电有限公司,16.1916666666667,38.0833333333333,43.4414,9988.37,888854.0061128862,895520.7815351442,23160.8716521442,134423.819166667,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,132,18
+2019-05-17,浙江秀舟热电有限公司,19.3458333333333,28.825,41.4023,9774.48,16973.128214793032,3799.796321671875,4242.548048845516,7754.10291666667,597.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,136,19
+2019-05-20,浙江秀舟热电有限公司,19.9958333333333,27.8375,42.2421,10023.53,2556.3784108842256,247.05142534460006,3721.478238236974,1837.62208333333,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,139,19
+2019-05-21,浙江秀舟热电有限公司,20.1083333333333,28.6458333333333,41.4804,9417.02,17345.735329977626,16213.802201587101,18521.941382829526,17441.2725,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,140,20
+2019-05-22,浙江秀舟热电有限公司,15.2666666666667,40.4208333333333,39.4804,9270.52,285175.35801962775,1796239.2039490445,119007.34595628394,123768.15875,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,141,20
+2019-05-23,浙江秀舟热电有限公司,7.76666666666667,56.5166666666667,39.0781,9794.99,950014.3030869968,5550054.333338769,170185.94334956765,313949.302916667,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,142,20
+2019-05-24,浙江秀舟热电有限公司,7.65833333333333,57.1125,40.5991,9818.43,421512.3962510595,4410909.512696858,371123.9335469263,324163.54,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,143,20
+2019-05-25,浙江秀舟热电有限公司,7.52083333333333,57.1625,43.8398,10383.92,551762.0715392219,5293031.556671524,56860.97683801147,338005.074583333,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,144,20
+2019-05-26,浙江秀舟热电有限公司,7.59583333333333,57.825,45.082,10489.4,490056.7650571643,4629216.664151146,43741.15572733729,322191.03625,623.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,145,20
+2019-05-27,浙江秀舟热电有限公司,7.87916666666667,57.525,44.3593,10102.64,860112.5819648182,4951130.088281734,33300.818992000655,343968.463333333,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,146,20
+2019-05-28,浙江秀舟热电有限公司,8.18333333333333,54.9416666666667,44.0,10758.96,610482.8146402608,5043390.648171095,42205.64982212612,330905.15625,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,147,21
+2019-05-29,浙江秀舟热电有限公司,8.43333333333333,55.9791666666667,41.6015,9789.12999999999,279745.9007490629,4739830.249484386,39900.715552072674,317291.135416667,591.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,148,21
+2019-05-30,浙江秀舟热电有限公司,8.1125,56.2625,42.2773,9100.58,102254.88149213714,5542970.04998372,46924.45654321813,306563.44125,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,149,21
+2019-05-31,浙江秀舟热电有限公司,9.39583333333333,54.5125,41.0,10301.8799999999,98655.45005789078,5342504.058409901,0.0,287908.77625,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,150,21
+2019-06-02,浙江秀舟热电有限公司,10.0208333333333,54.025,26.4804,7445.13,47675.50798027224,3138380.3997950046,0.0,262861.120416667,493.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,152,21
+2019-06-03,浙江秀舟热电有限公司,9.65416666666667,54.5541666666667,26.6015,7339.65,185907.74285845982,3490375.355952929,0.0,256543.809166667,473.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,153,21
+2019-06-04,浙江秀舟热电有限公司,10.0,54.6833333333333,25.4765,8036.99,154406.12133564497,3797649.3640314857,0.0,256059.74125,470.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,154,22
+2019-06-05,浙江秀舟热电有限公司,9.175,55.4833333333333,24.9609,7861.19,278758.3137864335,3610348.9483584804,0.0,276955.607916667,471.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,155,22
+2019-06-06,浙江秀舟热电有限公司,8.89583333333333,56.3791666666667,41.7617,10360.48,286158.1446501774,3825915.3635047222,0.0,288675.1675,597.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,156,22
+2019-06-07,浙江秀舟热电有限公司,11.8125,52.0166666666667,38.9609,8895.48,225939.576830282,3609787.660374239,33373.98190729924,216205.415,550.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,157,22
+2019-06-08,浙江秀舟热电有限公司,11.8583333333333,51.4041666666667,23.7578,3779.7,235620.48468842887,3206160.244573498,0.0,279261.701666667,335.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,158,22
+2019-06-09,浙江秀舟热电有限公司,10.8291666666667,52.925,33.9218,6826.9,262688.326832685,3930301.9712063973,0.0,304413.749166667,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,159,22
+2019-06-10,浙江秀舟热电有限公司,10.5166666666667,53.025,43.8398,9100.58,364888.13893459697,4157596.829698576,0.0,319504.514583333,607.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,160,22
+2019-06-11,浙江秀舟热电有限公司,10.5708333333333,52.3291666666667,40.5195,9918.04999999999,548189.2222868225,3747200.515384526,0.0,333232.05,629.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,161,23
+2019-06-12,浙江秀舟热电有限公司,10.4875,52.1791666666667,44.199219,10612.46,336957.33517850045,2861468.0367941186,0.0,328796.766666667,656.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,162,23
+2019-06-13,浙江秀舟热电有限公司,10.2166666666667,52.5916666666667,43.3984,10263.79,504192.9466054088,3599501.2180302646,0.0,328930.605,646.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,163,23
+2019-06-14,浙江秀舟热电有限公司,9.5625,52.7083333333333,43.5625,10589.02,358581.0445368715,3579727.9831357687,69465.12942676844,324020.09,656.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,164,23
+2019-06-15,浙江秀舟热电有限公司,8.57916666666667,54.4541666666667,43.4804,10641.76,281306.96983086655,4560604.856291967,0.0,322409.948333333,667.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,165,23
+2019-06-16,浙江秀舟热电有限公司,8.0,58.6541666666667,43.4375,10489.4,278668.78186328436,5365750.373124205,0.0,282271.206666667,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,166,23
+2019-06-17,浙江秀舟热电有限公司,8.45,58.1708333333333,43.4414,10041.11,271159.50082623505,7519674.383195346,0.0,308386.183333333,589.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,167,23
+2019-06-18,浙江秀舟热电有限公司,8.65416666666667,58.0541666666667,43.0,10662.27,262165.0811772089,6043027.628181952,0.0,322615.236666667,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,168,24
+2019-06-19,浙江秀舟热电有限公司,9.04583333333333,57.925,44.6406,10419.08,283862.16722241865,6618529.840204167,0.0,326306.972083333,635.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,169,24
+2019-06-20,浙江秀舟热电有限公司,9.23333333333333,57.6958333333333,44.5195,10322.39,266919.1014342832,5198075.971466024,0.0,304322.587916667,622.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,170,24
+2019-06-21,浙江秀舟热电有限公司,9.0875,56.15,43.5585,9317.4,278396.7790284133,4867387.256582428,63876.47318349649,313945.745416667,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,171,24
+2019-06-22,浙江秀舟热电有限公司,9.00833333333333,55.1166666666667,43.4804,10090.92,281242.7470015803,3271226.370418082,0.0,292774.190833333,663.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,172,24
+2019-06-23,浙江秀舟热电有限公司,9.375,55.175,40.6406,9490.27,309318.1225265394,3689651.5511635933,0.0,294410.285416667,592.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,173,24
+2019-06-25,浙江秀舟热电有限公司,9.175,55.9333333333333,26.1601,7257.61,260116.00105331,2885081.038828517,0.0,249059.669583333,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,175,25
+2019-06-26,浙江秀舟热电有限公司,9.075,56.2083333333333,25.5594,7301.56,251421.43045923926,2692887.5286463634,0.0,251302.359166667,493.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,176,25
+2019-06-27,浙江秀舟热电有限公司,9.5125,59.3541666666667,27.08,7659.02,234358.16277511296,2502552.2023716285,67427.30372927838,244196.145833333,498.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,177,25
+2019-06-28,浙江秀舟热电有限公司,9.49583333333333,57.5791666666667,26.4799,7421.69,263157.51975570974,2426121.4589969707,64242.95394976497,255613.625833333,465.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,178,25
+2019-06-29,浙江秀舟热电有限公司,9.975,57.0166666666667,25.9199,7515.45,378169.10812176,2994830.5396543634,1279194.0836246116,267657.359166667,471.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,179,25
+2019-06-30,浙江秀舟热电有限公司,10.125,57.8958333333333,23.8398,7131.62,372180.16361581517,3243733.074453045,1313533.5665249368,267529.999166667,459.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,180,25
+2019-07-01,浙江秀舟热电有限公司,9.44166666666667,57.7958333333333,26.3598,7029.07,376632.8337388766,4722845.135333317,242873.41012355953,304858.372916667,458.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,181,25
+2019-07-02,浙江秀舟热电有限公司,9.00416666666667,58.6666666666667,41.4804,10046.9699999999,437520.1170605786,5391228.078514181,409069.35535008274,346925.47875,607.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,182,26
+2019-07-03,浙江秀舟热电有限公司,9.06666666666667,58.525,41.957,9991.29999999999,476974.73302415916,6109061.907518352,616008.0467681576,345310.467916667,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,183,26
+2019-07-04,浙江秀舟热电有限公司,9.02916666666667,58.5083333333333,43.7226,10395.64,551847.1032772582,5750719.996944969,285682.90555510775,343146.045416667,649.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,184,26
+2019-07-05,浙江秀舟热电有限公司,8.21666666666667,60.3708333333333,42.5976,10316.53,565670.1977527238,6711666.92565102,1218.6392822718208,323167.380416667,633.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,185,26
+2019-07-06,浙江秀舟热电有限公司,9.4625,57.2958333333333,41.2812,10105.57,513812.48762586166,11875841.341698205,836016.2174732658,334609.202916667,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,186,26
+2019-07-07,浙江秀舟热电有限公司,11.7625,51.1958333333333,33.4804,9071.28,481660.920153856,7394704.400714448,575943.4832478032,290715.649583333,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,187,26
+2019-07-08,浙江秀舟热电有限公司,12.4666666666667,48.625,25.3203,6864.99,361459.8871069145,4126457.4128570715,285167.7261088788,290145.223333333,423.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,188,26
+2019-07-09,浙江秀舟热电有限公司,13.0833333333333,48.8375,25.4375,7032.0,589816.0222880859,6278723.64585397,35043.91357287522,379571.265416667,421.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,189,27
+2019-07-10,浙江秀舟热电有限公司,12.0791666666667,50.375,42.6015,9124.02,584804.3167081085,5540290.6113834595,0.0,405180.659583333,577.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,190,27
+2019-07-11,浙江秀舟热电有限公司,12.45,50.45,44.1602,10369.27,419878.3891715647,5441712.079640887,0.0,402424.72875,646.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,191,27
+2019-07-12,浙江秀舟热电有限公司,12.4375,51.0291666666667,44.082,9871.17,485916.8652369381,5443600.3701700205,81937.20100351846,414853.3775,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,192,27
+2019-07-13,浙江秀舟热电有限公司,11.8,51.6708333333333,44.5195,10357.5499999999,509655.7173317209,5863924.212161234,0.0,415823.317083333,626.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,193,27
+2019-07-14,浙江秀舟热电有限公司,11.7708333333333,52.2166666666667,44.1601,10427.87,377335.1950676414,4133937.6034193686,0.0,382538.477916667,626.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,194,27
+2019-07-15,浙江秀舟热电有限公司,11.4875,51.7083333333333,42.2382,9376.0,397343.8390523168,4942033.8594039185,0.0,378083.3425,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,195,27
+2019-07-16,浙江秀舟热电有限公司,12.2333333333333,50.8375,42.8789,10269.65,420314.68121818255,5264490.914290855,0.0,401016.902083333,619.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,196,28
+2019-07-17,浙江秀舟热电有限公司,12.6375,50.8083333333333,41.3203,9326.19,383041.07919484045,5692455.488527273,0.0,394511.995,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,197,28
+2019-07-18,浙江秀舟热电有限公司,12.4333333333333,51.1666666666667,42.0,9918.04999999999,302243.45473137574,5503026.016953383,0.0,389159.9975,592.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,198,28
+2019-07-19,浙江秀舟热电有限公司,12.9875,49.7125,41.7226,9548.87,325361.3388431056,5151255.135241854,158112.292698149,437293.589583333,593.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,199,28
+2019-07-20,浙江秀舟热电有限公司,13.7791666666667,48.7875,43.8398,9733.45999999999,326039.0760620681,4478651.257483103,0.0,431810.295,596.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,200,28
+2019-07-21,浙江秀舟热电有限公司,11.7125,52.1416666666667,37.1601,8675.73,292997.0006649371,4438772.5794428615,0.0,375491.626666667,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,201,28
+2019-08-05,浙江秀舟热电有限公司,10.6541666666667,53.1458333333333,35.6796,8429.61,251878.73952486232,3586725.40610928,19607.327028881482,331101.35,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,216,30
+2019-08-06,浙江秀舟热电有限公司,10.55,52.9041666666667,34.7578,9390.65,261854.13691914914,3393467.0442763004,14399.074491341233,331146.550416667,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,217,31
+2019-08-07,浙江秀舟热电有限公司,10.8125,52.725,40.9609,9551.79999999999,268101.7796687627,3236287.9623407125,47487.54263825887,340067.51375,591.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,218,31
+2019-08-08,浙江秀舟热电有限公司,11.325,52.4041666666667,32.7226,8259.67,279919.7032094723,3848224.5721947444,511.5024270616012,364106.344166667,571.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,219,31
+2019-08-10,浙江秀舟热电有限公司,13.7625,48.2,31.5585,7653.16,277439.0077485767,1710508.9953463948,150609.747063513,353632.274583333,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,221,31
+2019-08-11,浙江秀舟热电有限公司,13.2125,48.5416666666667,22.3984,4140.09,264287.50152477535,2351753.8662840426,24907.317924572588,345211.785416667,365.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,222,31
+2019-08-12,浙江秀舟热电有限公司,11.1375,51.3041666666667,38.7617,8432.54,318840.85559840867,4620155.8265998,1932.3688218085235,391680.49375,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,223,31
+2019-08-13,浙江秀舟热电有限公司,11.7125,51.475,42.9179,10187.61,308417.7719747616,4129571.9060377884,2655.340266678952,376954.43375,623.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,224,32
+2019-08-14,浙江秀舟热电有限公司,10.8208333333333,52.1125,41.5625,9238.29,334141.0588781611,4621998.708033109,10212.135051288546,387352.5175,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,225,32
+2019-08-15,浙江秀舟热电有限公司,11.1458333333333,51.7375,44.2723,10413.2199999999,324210.243196421,5186175.757564064,110755.90026634281,388057.328333333,642.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,226,32
+2019-08-16,浙江秀舟热电有限公司,11.6666666666667,51.6625,36.7226,9247.08,263646.25773642753,4234378.900161948,827.9604325504476,336016.884166667,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,227,32
+2019-08-17,浙江秀舟热电有限公司,9.5625,54.6291666666667,26.8007,7861.19,237502.73420103872,4055045.5542039364,1715.5953712038745,307393.634166667,489.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,228,32
+2019-08-18,浙江秀舟热电有限公司,10.9541666666667,54.5375,41.4765,9956.14,272068.60206904623,4667055.366307545,2308.217575650328,287625.486666667,613.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,229,32
+2019-08-19,浙江秀舟热电有限公司,9.78333333333333,54.2333333333333,32.8008,8397.37999999999,289510.2145721429,5792986.476456224,1047.6847330716862,333321.303333333,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,230,32
+2019-08-20,浙江秀舟热电有限公司,9.36666666666667,54.0541666666667,45.6801,10460.1,257882.53875466555,4856053.301308968,229.53496996409012,328439.952083333,675.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,231,33
+2019-08-21,浙江秀舟热电有限公司,10.175,52.8916666666667,36.2421,9214.85,287896.74860034586,4335428.813627151,122.40508018720244,349051.997083333,559.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,232,33
+2019-08-22,浙江秀舟热电有限公司,9.14583333333333,54.6083333333333,45.2788,9481.48,293088.23990705836,5781917.59143334,274793.24713531503,351980.28875,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,233,33
+2019-08-23,浙江秀舟热电有限公司,8.74166666666667,55.9,47.5185,10301.8799999999,267166.7709885584,6762686.370989193,1627993.2731957638,332996.609166667,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,234,33
+2019-08-24,浙江秀舟热电有限公司,8.77916666666667,55.5875,45.6815,10342.9,257411.2172677547,5624593.573863405,693561.3580472867,325465.886666667,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,235,33
+2019-08-25,浙江秀舟热电有限公司,9.62916666666667,55.4708333333333,44.1972,9862.37999999999,242257.97750305588,4809485.585690996,2743.3394664980137,303263.710833333,629.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,236,33
+2019-08-26,浙江秀舟热电有限公司,10.1916666666667,54.7416666666667,31.6405,7533.03,202578.01343419138,3879980.530377156,1696.3341803656244,256039.457916667,477.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,237,33
+2019-08-27,浙江秀舟热电有限公司,9.97916666666667,55.7208333333333,26.2031,7067.16,181164.6829672493,4065724.6301401756,490.51809467666766,235151.872083333,449.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,238,34
+2019-08-28,浙江秀舟热电有限公司,10.5083333333333,54.925,25.4766,6771.23,228636.17775748024,4008264.625531822,0.0,266795.425416667,450.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,239,34
+2019-08-29,浙江秀舟热电有限公司,10.2166666666667,50.7041666666667,25.8008,7193.15,255974.93625495568,5559479.765028807,115951.31714061505,260244.79375,445.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,240,34
+2019-08-30,浙江秀舟热电有限公司,9.025,54.6375,33.043,7216.59,263759.068950309,4242204.149657969,331.2169137090517,316520.82125,478.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,241,34
+2019-08-31,浙江秀舟热电有限公司,9.8375,54.7708333333333,37.9193,8031.13,260853.85266603596,4797430.141664937,45827.110350438255,304247.109583333,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,242,34
+2019-09-01,浙江秀舟热电有限公司,8.94583333333333,56.1708333333333,40.477,9211.92,233150.75539334296,6305301.745258536,548565.6957570317,297670.987083333,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,243,34
+2019-09-02,浙江秀舟热电有限公司,11.0791666666667,53.3541666666667,35.683,8013.55,278415.7044083308,6832794.8055968555,624713.2404807709,357652.16375,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,244,34
+2019-09-03,浙江秀舟热电有限公司,11.0458333333333,53.8666666666667,45.2391,9903.4,283708.0944938515,7101843.3747974485,678529.9965455149,356679.697083333,661.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,245,35
+2019-09-04,浙江秀舟热电有限公司,10.875,54.8333333333333,44.6005,10008.8799999999,305231.82639528485,6750388.63955971,1284591.3959325294,364525.027083333,633.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,246,35
+2019-09-05,浙江秀舟热电有限公司,11.2916666666667,54.7375,47.5966,10392.7099999999,303166.7361307486,5084096.076169357,934722.0666393968,361651.81625,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,247,35
+2019-09-06,浙江秀舟热电有限公司,11.4041666666667,53.8125,44.5234,9147.45999999999,266089.59615286294,4717624.8055099845,862043.3262564616,345405.688333333,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,248,35
+2019-09-07,浙江秀舟热电有限公司,11.2625,53.6833333333333,36.6781,8136.61,268668.7366426673,3588014.4540014914,622363.792357118,343778.230416667,525.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,249,35
+2019-09-08,浙江秀舟热电有限公司,11.5166666666667,53.1583333333333,39.9994,9135.74,301585.33765627694,5229708.54729054,40153.36523618202,354785.069583333,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,250,35
+2019-09-09,浙江秀舟热电有限公司,11.6666666666667,53.05,42.0805,9352.56,312956.0190539037,4635817.890507962,55011.30509088475,361629.50125,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,251,35
+2019-09-10,浙江秀舟热电有限公司,11.5083333333333,53.8166666666667,44.1186,9689.51,314939.5084221448,3438437.936906436,28230.89889232265,349489.676666667,572.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,252,36
+2019-09-11,浙江秀舟热电有限公司,11.6458333333333,54.0791666666667,43.1601,9399.44,328417.80921809946,2580736.2126820874,2686.943771959143,349547.507083333,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,253,36
+2019-09-12,浙江秀舟热电有限公司,11.5666666666667,53.7166666666667,42.0,8959.94,335379.22042537533,5138001.552706833,72532.67876295865,386142.985416667,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,254,36
+2019-09-13,浙江秀舟热电有限公司,12.4125,51.8958333333333,43.9232,9759.83,336469.04228456866,2771825.172985886,97338.11485888925,386483.964583333,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,255,36
+2019-09-14,浙江秀舟热电有限公司,12.2791666666667,52.0666666666667,40.121,8488.20999999999,378634.1014494214,3883324.236649169,62560.647629645246,404425.4025,513.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,256,36
+2019-09-15,浙江秀舟热电有限公司,12.4125,51.4291666666667,43.3222,9431.67,370921.1901748613,4167650.4430106725,24919.029764643194,406554.900833333,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,257,36
+2019-09-16,浙江秀舟热电有限公司,11.5041666666667,51.4458333333333,41.559,9390.65,360950.3512673613,5869419.057754514,396165.019683689,403117.407916667,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,258,36
+2019-09-17,浙江秀舟热电有限公司,9.47083333333333,53.95,45.5195,10085.06,294617.84837204433,5139626.33642313,228412.89307080983,331705.871666667,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,259,37
+2019-09-18,浙江秀舟热电有限公司,9.54583333333333,54.5291666666667,44.9188,9985.44,285925.0928559991,5366613.449057838,147946.12112498566,344159.914166667,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,260,37
+2019-09-19,浙江秀舟热电有限公司,10.6458333333333,53.0291666666667,46.4003,10219.84,257195.87759371955,4646760.915004362,243110.5492390828,316400.482916667,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,261,37
+2019-09-20,浙江秀舟热电有限公司,11.0666666666667,53.0666666666667,30.7617,8189.35,233823.2407554949,3405605.2444597813,8134.7075697711325,283042.67875,472.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,262,37
+2019-09-21,浙江秀舟热电有限公司,11.0791666666667,52.6333333333333,27.5976,7263.47,223827.51614751408,2956025.478908708,4133.751424345981,287280.92125,434.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,263,37
+2019-09-22,浙江秀舟热电有限公司,11.6291666666667,52.0583333333333,27.5976,7263.47,221972.11964023687,3622438.5491058407,7121.563711909976,285296.043333333,434.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,264,37
+2019-09-23,浙江秀舟热电有限公司,11.2625,52.5416666666667,28.8789,7664.88,232794.3669692556,3434872.3074656995,3531.7740979297605,287441.112083333,457.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,265,37
+2019-09-24,浙江秀舟热电有限公司,11.4208333333333,51.6416666666667,28.3693,7779.15,248282.39002369944,4164773.9534050524,3832.4774430024295,294238.55,487.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,266,38
+2019-09-25,浙江秀舟热电有限公司,12.0625,50.275,28.1601,7623.86,263520.704346946,4062233.906493459,4564.925587112459,293474.637916667,484.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,267,38
+2019-09-26,浙江秀舟热电有限公司,10.9041666666667,52.6208333333333,25.8007,7157.99,298182.80689569155,3526502.159444565,55821.20885179237,308831.52125,440.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,268,38
+2019-09-27,浙江秀舟热电有限公司,10.25,53.1125,41.9179,8810.51,282655.2411897622,3041009.1815263093,19944.31337285661,316177.8625,545.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,269,38
+2019-09-28,浙江秀舟热电有限公司,9.6375,53.9125,41.4804,9182.62,287037.24335630453,4019568.900284054,144361.4323759265,344414.125833333,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,270,38
+2019-09-29,浙江秀舟热电有限公司,10.4291666666667,52.6708333333333,47.0,10049.9,310618.0532902963,5140833.367157522,234924.51252637306,372543.12375,606.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,271,38
+2019-09-30,浙江秀舟热电有限公司,12.2291666666667,50.2,46.52,10105.57,364605.36746374716,4582726.376537187,66718.24358983923,427853.211666667,608.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,272,38
+2019-10-01,浙江秀舟热电有限公司,13.5875,48.3458333333333,42.8007,9267.59,343179.01007761736,4243071.34115613,19242.26679022399,426032.384583333,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,273,39
+2019-10-02,浙江秀舟热电有限公司,13.6,48.4916666666667,44.3203,8080.94,339682.6921488813,3665931.946859975,20609.961096673655,429467.745833333,494.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,274,39
+2019-10-03,浙江秀舟热电有限公司,12.625,49.5,44.9609,8576.11,371557.36044768256,4650415.078839734,263640.0634004577,445227.6275,496.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,275,39
+2019-10-04,浙江秀舟热电有限公司,12.675,49.1041666666667,43.6805,9677.79,371585.6404992439,4107542.6688110097,192335.37607512836,444337.648333333,571.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,276,39
+2019-10-05,浙江秀舟热电有限公司,13.1541666666667,48.4333333333333,43.3988,9147.45999999999,399790.62888895406,4996382.9608531445,161170.3637445511,476664.72125,547.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,277,39
+2019-10-06,浙江秀舟热电有限公司,13.9833333333333,46.4375,46.3983,9885.82,438144.347458438,5004649.658306707,131481.30461458792,531081.57875,596.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,278,39
+2019-10-07,浙江秀舟热电有限公司,13.8333333333333,47.2666666666667,45.9208,10108.5,390179.28934417444,3881425.343741261,202085.5243506298,445572.95625,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,279,39
+2019-10-08,浙江秀舟热电有限公司,13.325,47.2208333333333,30.0781,7826.03,400680.0934649741,3538610.37528964,925930.0603294502,472319.196666667,476.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,280,40
+2019-10-09,浙江秀舟热电有限公司,13.05,48.275,46.121,10134.87,427908.55492806406,4715255.020576058,813821.2379467929,485841.590833333,605.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,281,40
+2019-10-10,浙江秀舟热电有限公司,12.7375,48.7,47.5991,10067.48,439538.86473892943,5578843.173031902,346886.7536343993,483877.072083333,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,282,40
+2019-10-11,浙江秀舟热电有限公司,13.4875,47.925,46.1606,10020.6,387029.51163672254,5238391.756180856,281661.8672658959,441624.793333333,597.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,283,40
+2019-10-12,浙江秀舟热电有限公司,11.9125,49.8875,39.3593,7363.09,336259.48427720915,5649871.750018734,28211.60079952858,402560.539166667,487.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,284,40
+2019-10-13,浙江秀舟热电有限公司,11.5416666666667,50.2208333333333,42.9218,8983.37999999999,311725.31483531924,3950328.520989933,9083.212298833165,372312.098333333,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,285,40
+2019-10-14,浙江秀舟热电有限公司,10.525,51.2916666666667,42.3203,8914.23,288605.1739943183,3503297.594584431,21783.844689549827,349232.36375,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,286,40
+2019-10-15,浙江秀舟热电有限公司,12.2291666666667,46.8583333333333,42.1196,8992.17,222563.76399289194,2455080.6475361385,14163.14861772948,257403.3475,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,287,41
+2019-10-16,浙江秀舟热电有限公司,9.7625,51.5125,39.998,8772.42,281712.9182865316,4146226.015666764,90166.44175864596,324913.362916667,504.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,288,41
+2019-10-17,浙江秀舟热电有限公司,10.4541666666667,51.4083333333333,44.0019,9173.83,272843.30858401064,4140291.5838246522,79718.27720241874,315608.128333333,549.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,289,41
+2019-10-18,浙江秀舟热电有限公司,9.9875,51.65,42.0781,8312.41,286042.6421351664,3265926.5193212405,45478.14534547893,325420.625,489.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,290,41
+2019-10-19,浙江秀舟热电有限公司,10.125,51.6375,42.7626,8971.66,285556.27029294445,4138721.065024224,11431.305310973985,321507.0975,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,291,41
+2019-10-20,浙江秀舟热电有限公司,9.73333333333333,52.5916666666667,42.6796,8634.70999999999,306878.5936797626,4863662.437531823,60545.3820675968,328558.290833333,506.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,292,41
+2019-10-21,浙江秀舟热电有限公司,10.1083333333333,51.9583333333333,43.8803,9475.62,293100.57628152793,4299453.2127135545,75550.76966262975,323531.015833333,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,293,41
+2019-10-22,浙江秀舟热电有限公司,9.65833333333333,52.8083333333333,42.2787,9053.7,304980.36703549494,5038824.098087141,202782.56365034805,328471.397916667,524.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,294,42
+2019-10-23,浙江秀舟热电有限公司,10.5083333333333,51.6791666666667,45.9599,9669.0,279640.1297155645,3767366.6589260735,99464.15594196753,311552.446666667,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,295,42
+2019-10-24,浙江秀舟热电有限公司,9.4,52.775,38.039,8139.54,291744.43671725324,3391986.3565194407,298489.3120175346,325879.540833333,489.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,296,42
+2019-10-25,浙江秀舟热电有限公司,9.49166666666667,53.0208333333333,45.5624,9449.25,291355.05534506554,4346267.31226209,367509.86965425377,326201.472083333,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,297,42
+2019-10-26,浙江秀舟热电有限公司,9.68333333333333,51.8583333333333,45.9183,9501.99,287491.6654214544,4166503.0420240667,248707.74306472047,332066.51625,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,298,42
+2019-10-27,浙江秀舟热电有限公司,9.9125,51.85,43.4404,8933.57,308092.0580642545,4688305.182895346,234042.67999052198,331472.87125,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,299,42
+2019-10-28,浙江秀舟热电有限公司,9.6125,53.2666666666667,43.3593,8998.03,313836.4493885743,6026271.123071987,874843.6121324276,329279.713333333,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,300,42
+2019-10-29,浙江秀舟热电有限公司,9.9,52.2,45.5605,9586.95999999999,339929.447598932,6999038.718416246,1127397.2975637,355229.5725,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,301,43
+2019-10-30,浙江秀舟热电有限公司,9.71666666666667,52.8791666666667,47.1606,9733.45999999999,352077.72087741236,7060003.905105131,290934.2268587278,337235.849583333,599.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,302,43
+2019-10-31,浙江秀舟热电有限公司,10.3125,53.7208333333333,44.518,9490.27,322908.85811833484,5627767.024743309,492471.3795030247,311140.589166667,603.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,303,43
+2019-11-01,浙江秀舟热电有限公司,11.725,51.0708333333333,44.2011,8898.41,371604.3811047114,6237814.801004168,386177.1019323493,362487.611666667,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,304,43
+2019-11-02,浙江秀舟热电有限公司,12.1166666666667,50.1875,43.2411,9211.92,391225.8271366047,5283220.807816539,359164.9327898391,390804.56875,573.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,305,43
+2019-11-03,浙江秀舟热电有限公司,11.3208333333333,51.05,44.2001,9062.49,330074.4900123626,4200134.479220963,564858.5399882247,342453.637916667,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,306,43
+2019-11-04,浙江秀舟热电有限公司,9.39583333333333,54.0458333333333,43.9198,9109.37,268882.5783436556,4458928.189599153,1373310.0992546605,283203.799166667,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,307,43
+2019-11-05,浙江秀舟热电有限公司,10.2333333333333,52.5583333333333,43.3173,8889.62,282085.4753257715,4548981.642993423,1845599.4648872449,283548.35,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,308,44
+2019-11-06,浙江秀舟热电有限公司,11.2083333333333,50.6958333333333,36.6835,7755.71,401057.99641976337,6155814.685111488,1007287.4630336872,365259.339166667,477.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,309,44
+2019-11-07,浙江秀舟热电有限公司,11.2375,50.7083333333333,43.56,8725.54,335432.5755088856,5030489.117332028,1729042.4812769128,337040.018333333,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,310,44
+2019-11-08,浙江秀舟热电有限公司,9.91666666666667,52.4708333333333,40.3593,8286.04,284524.84849592997,3073130.877810718,2987712.843095487,287546.917916667,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,311,44
+2019-11-09,浙江秀舟热电有限公司,9.37916666666667,52.6875,35.7578,7366.02,289209.29481117736,4039546.765570234,630759.8571926566,271206.4825,490.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,312,44
+2019-11-10,浙江秀舟热电有限公司,9.54166666666667,53.1125,43.6015,9203.12999999999,323923.75796354056,2872585.9812265607,82168.92393329441,282497.3525,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,313,44
+2019-11-11,浙江秀舟热电有限公司,9.9875,53.2583333333333,42.04,8268.45999999999,349877.7701566751,2599865.721277826,336389.25105999643,293949.020833333,511.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,314,44
+2019-11-13,浙江秀舟热电有限公司,10.3125,52.7208333333333,27.8789,6346.38,359134.2424441344,2770565.396062632,501182.98662618647,297032.868333333,408.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,316,45
+2019-11-14,浙江秀舟热电有限公司,10.5375,51.4041666666667,41.7597,8822.23,427191.51970733167,4385628.307433264,585236.7339580271,341680.722083333,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,317,45
+2019-11-15,浙江秀舟热电有限公司,9.66666666666667,52.4125,45.2009,9437.53,409719.0383391689,3661830.335984601,287001.82280925516,332471.510833333,555.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,318,45
+2019-11-16,浙江秀舟热电有限公司,9.74166666666666,51.9791666666667,44.3203,9214.85,405276.6542645991,3159057.6211784235,216806.89675630126,316001.230416667,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,319,45
+2019-11-17,浙江秀舟热电有限公司,9.4125,52.5708333333333,44.2421,9080.07,389198.13403455855,3540600.787672459,89060.34899459743,314004.557916667,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,320,45
+2019-11-18,浙江秀舟热电有限公司,9.92916666666667,51.6333333333333,44.5199,9370.14,412056.49689991475,3586456.5716097993,65228.59818123492,310886.830833333,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,321,45
+2019-11-19,浙江秀舟热电有限公司,9.59166666666667,52.3666666666667,42.8778,9487.34,493220.20130102703,6931917.769931607,131701.75617762917,327473.805416667,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,322,46
+2019-11-20,浙江秀舟热电有限公司,9.34166666666667,53.15,46.6405,9803.78,490756.91483854613,6828862.078416812,201719.6012622108,298435.639166667,622.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,323,46
+2019-11-21,浙江秀舟热电有限公司,10.5833333333333,53.0625,44.3983,9460.96999999999,563864.5114282276,6027005.053336471,274959.48764204216,331567.7275,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,324,46
+2019-11-22,浙江秀舟热电有限公司,11.6166666666667,52.4041666666667,46.7196,9698.29999999999,603972.4243522568,6679846.934024095,365025.8339678952,358274.923333333,603.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,325,46
+2019-11-23,浙江秀舟热电有限公司,12.1708333333333,52.1625,43.9199,9334.98,604971.9579527762,3896417.481747094,387506.40848559135,349570.7475,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,326,46
+2019-11-24,浙江秀舟热电有限公司,11.6041666666667,52.9166666666667,40.8828,9097.65,549468.8556254368,3982695.346076829,466212.43022312433,335832.20875,536.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,327,46
+2019-11-25,浙江秀舟热电有限公司,11.8,51.2958333333333,43.7997,9208.99,556962.8093353466,3998368.475570144,318056.98890336655,343430.11875,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,328,46
+2019-11-26,浙江秀舟热电有限公司,11.7875,51.2625,46.8798,9780.34,612889.8207939493,5469331.429612703,99554.45295443828,350461.0875,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,329,47
+2019-11-27,浙江秀舟热电有限公司,11.9,51.7416666666667,45.8002,9440.45999999999,618440.7323973569,6395996.181391778,92703.89248209889,353587.69375,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,330,47
+2019-11-28,浙江秀舟热电有限公司,13.2916666666667,49.2333333333333,45.7997,9411.16,600787.4936087285,4219372.158745119,75849.72158205429,338931.96125,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,331,47
+2019-11-29,浙江秀舟热电有限公司,12.2625,50.025,41.7177,8253.81,720190.1259702557,5465863.302423827,325675.6913973931,379288.025416667,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,332,47
+2019-11-30,浙江秀舟热电有限公司,12.1916666666667,50.1041666666667,48.6,10190.54,771557.3041820766,7643782.894767874,395151.4432862077,384042.987083333,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,333,47
+2019-12-01,浙江秀舟热电有限公司,12.825,48.9833333333333,46.4413,9519.57,766188.6597599812,4895553.995259075,135795.18717673921,368940.594166667,593.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,334,47
+2019-12-02,浙江秀舟热电有限公司,11.6625,49.4,45.4808,9332.04999999999,810477.2916832387,6393799.266614965,213983.01731879544,374943.555416667,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,335,47
+2019-12-03,浙江秀舟热电有限公司,12.0333333333333,48.8416666666667,47.6385,9838.94,927678.0554505404,7401496.940641083,20448.74549545201,376387.27875,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,336,48
+2019-12-04,浙江秀舟热电有限公司,10.7833333333333,50.7833333333333,43.7597,8989.24,889957.0083183598,7762864.666134967,10146.622750227709,309108.17,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,337,48
+2019-12-05,浙江秀舟热电有限公司,11.675,48.8458333333333,43.9213,8942.36,1348228.0369348167,7178071.60208912,5735.513486676774,358942.68875,571.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,338,48
+2019-12-10,浙江秀舟热电有限公司,8.98333333333333,31.9166666666667,41.4379,8904.27,841906.1487476544,601644.7567038933,6517.9830870786145,103514.822083333,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,343,49
+2019-12-11,浙江秀舟热电有限公司,11.275,47.1916666666667,44.8021,9352.56,2324908.9703685567,5396220.160515447,50194.71040958962,385294.262916667,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,344,49
+2019-12-12,浙江秀舟热电有限公司,12.1708333333333,46.2916666666667,45.2782,9302.75,1855951.8215109834,3560108.5403953986,33300.570960125275,387655.054583333,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,345,49
+2019-12-13,浙江秀舟热电有限公司,12.325,46.65,42.5199,8523.37,1811745.780886336,4357883.846659867,109461.69274905384,393527.150416667,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,346,49
+2019-12-14,浙江秀舟热电有限公司,11.7833333333333,47.6875,43.5194,8980.45,1033403.6977825854,6079427.1031607315,70049.78520435258,380203.163333333,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,347,49
+2019-12-15,浙江秀舟热电有限公司,11.6916666666667,48.1916666666667,42.9618,9197.27,569358.2577082556,1885551.006232847,43929.105637727414,371874.1375,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,348,49
+2019-12-16,浙江秀舟热电有限公司,11.6,49.275,45.5194,9308.61,584697.2542567174,4341908.173032555,89350.87468546124,374393.060416667,579.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,349,49
+2019-12-17,浙江秀舟热电有限公司,12.3208333333333,48.0875,45.9579,9513.70999999999,565179.7410387794,2758031.1427048766,45587.73880566531,380065.963333333,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,350,50
+2019-12-18,浙江秀舟热电有限公司,12.2791666666667,46.9,45.203,8986.31,581206.3400490314,2571824.0294674486,59046.300473127994,392592.74125,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,351,50
+2019-12-19,浙江秀舟热电有限公司,12.2083333333333,46.3,45.3573,9206.06,590453.5308203046,3473712.5584106846,90130.19026908322,402265.050833333,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,352,50
+2019-12-20,浙江秀舟热电有限公司,12.1583333333333,46.0083333333333,45.642,9349.62999999999,594514.2577677224,4218135.076902239,129981.30309094631,409050.307916667,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,353,50
+2019-12-21,浙江秀舟热电有限公司,11.55,47.3041666666667,46.0771,9308.61,571429.0799200318,4883748.188213104,41074.06693937104,388916.18125,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,354,50
+2019-12-22,浙江秀舟热电有限公司,11.6458333333333,47.6875,44.9633,9109.37,564687.6503839927,5608297.480567,43973.25838540398,383205.944166667,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,355,50
+2019-12-23,浙江秀舟热电有限公司,12.4208333333333,46.675,41.5594,8502.86,555754.1306514647,3974244.818733542,25701.14454025845,370575.614166667,576.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,356,50
+2019-12-24,浙江秀舟热电有限公司,10.8791666666667,49.2083333333333,45.642,9349.62999999999,543613.7126288844,4289334.526879787,53048.169039125736,366576.342083333,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,357,51
+2019-12-25,浙江秀舟热电有限公司,9.56666666666667,51.5875,47.3607,9932.7,500911.340670596,4830090.1515880395,89592.03066339494,326230.07625,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,358,51
+2019-12-26,浙江秀舟热电有限公司,10.7208333333333,50.4416666666667,47.4775,9912.19,452120.92261695623,3806532.51110756,35062.438896825246,307222.482916667,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,359,51
+2019-12-27,浙江秀舟热电有限公司,9.67916666666667,51.175,37.8417,8379.79999999999,464323.4728416526,4533720.941122426,82308.88329679979,312552.557083333,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,360,51
+2019-12-28,浙江秀舟热电有限公司,9.10416666666667,51.3708333333333,41.558,8825.16,484222.3514895317,5400174.871911046,8989.971714820735,318953.640833333,551.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,361,51
+2019-12-29,浙江秀舟热电有限公司,9.28333333333333,52.35,42.4428,9422.87999999999,485182.6237834345,5181448.580282596,12856.221597948097,318261.239166667,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,362,51
+2019-12-31,浙江秀舟热电有限公司,9.3,51.275,47.1635,9686.58,499784.2124084809,5289592.614325951,14329.477418704668,330564.44375,599.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,364,52
+2020-01-04,浙江秀舟热电有限公司,9.90833333333333,51.4583333333333,39.3607,8772.42,474256.1618651862,3137840.578205576,638.7288375288696,302232.82875,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,3,0
+2020-01-05,浙江秀舟热电有限公司,9.575,51.5166666666667,43.1205,8658.15,502588.2183022324,2765754.3051109593,427.9167461066113,303776.187083333,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,4,0
+2020-01-06,浙江秀舟热电有限公司,10.0541666666667,52.4083333333333,44.6791,8974.59,460149.1465064537,2552076.2788675926,396.9369389747135,282558.010833333,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,5,0
+2020-01-07,浙江秀舟热电有限公司,10.575,51.45,39.4389,8441.33,456710.73042644904,3512763.038264448,2299.7564818910005,296772.994166667,508.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,6,0
+2020-01-08,浙江秀舟热电有限公司,10.9791666666667,49.5041666666667,36.1601,7661.95,411919.93463862705,1794748.0277184604,0.0,275195.71,518.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,7,1
+2020-01-09,浙江秀舟热电有限公司,10.1125,50.3791666666667,38.2812,7922.72,504058.6606255746,3971350.1007676343,45457.61523725261,334969.21125,512.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,8,1
+2020-01-10,浙江秀舟热电有限公司,10.1875,50.5791666666667,47.7592,9443.39,525139.2087413853,5456827.23587336,369.64280296202594,348866.269583333,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,9,1
+2020-01-11,浙江秀舟热电有限公司,11.1291666666667,49.5625,44.1606,8634.70999999999,470372.7393694899,4111288.2498364253,0.0,322081.264166667,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,10,1
+2020-01-12,浙江秀舟热电有限公司,10.1625,50.8208333333333,42.1601,8587.83,494757.9513268728,5492900.109023352,483.04413114654676,342175.597083333,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,11,1
+2020-01-13,浙江秀舟热电有限公司,9.97916666666667,50.7166666666667,46.6796,9235.36,500973.2030544025,6918871.220049276,3525.497558440522,332875.3625,599.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,12,1
+2020-01-14,浙江秀舟热电有限公司,10.9083333333333,49.9291666666667,46.6796,9235.36,488726.2962826798,5494343.73929864,349.50629054780325,329198.95125,599.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,13,1
+2020-01-15,浙江秀舟热电有限公司,10.3083333333333,50.4458333333333,43.0038,8517.51,495485.6465391458,5023685.580274399,116.63974730204026,330115.229166667,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,14,2
+2020-01-16,浙江秀舟热电有限公司,10.6333333333333,50.0916666666667,45.1976,8930.64,489713.7768850308,4618478.657213335,74044.07212811874,328620.043333333,589.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,15,2
+2020-01-17,浙江秀舟热电有限公司,11.0583333333333,49.6416666666667,42.8788,8488.20999999999,467036.214336476,4204225.828075418,0.0,321591.515416667,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,16,2
+2020-01-18,浙江秀舟热电有限公司,17.6541666666667,26.5,42.7997,8233.29999999999,173181.7327322611,590614.577082696,0.0,111841.8375,498.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,17,2
+2020-02-12,浙江秀舟热电有限公司,18.3666666666667,42.4375,13.3632,3035.48,320994.0106349465,680550.5340626702,359416.02099882654,149156.174166667,215.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,42,6
+2020-02-13,浙江秀舟热电有限公司,17.9375,44.15,12.4765,2994.46,302765.8303081722,914390.0989278905,42179.59386949743,139848.908333333,205.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,43,6
+2020-02-15,浙江秀舟热电有限公司,19.5208333333333,40.2083333333333,14.9609,3387.08,377865.601072843,1165796.751018965,189411.45764961618,187403.291666667,232.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,45,6
+2020-02-16,浙江秀舟热电有限公司,16.1916666666667,42.3541666666667,14.1992,3278.67,362786.18578335806,1528746.975686154,64550.43266574995,195522.51875,213.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,46,6
+2020-02-17,浙江秀舟热电有限公司,17.4541666666667,40.1041666666667,19.8398,4019.96,393417.334427248,970513.5374701794,80212.78596971487,209495.350416667,260.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,47,6
+2020-02-18,浙江秀舟热电有限公司,16.8875,41.4375,21.1601,4383.28,425565.3331604757,1947475.8960433013,127446.44469478585,227402.437083333,273.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,48,6
+2020-02-19,浙江秀舟热电有限公司,17.1208333333333,40.3583333333333,20.6796,4236.78,418485.51001053874,1517622.5301279807,204699.29076320044,222462.9875,269.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,49,7
+2020-02-20,浙江秀舟热电有限公司,16.3291666666667,43.075,17.2421,3269.88,373908.80510688206,1667579.7647153356,451140.580516834,194713.905,245.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,50,7
+2020-02-21,浙江秀舟热电有限公司,13.3166666666667,48.45,18.5195,3923.27,308918.0967558003,2303761.8734273356,565255.6831428932,170977.730833333,252.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,51,7
+2020-02-22,浙江秀舟热电有限公司,13.4291666666667,47.2291666666667,21.5195,4441.88,378448.59074813337,3059087.8963582674,90377.9905988312,207238.189583333,273.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,52,7
+2020-02-23,浙江秀舟热电有限公司,14.6708333333333,44.0916666666667,25.1601,5663.69,373901.7053035939,1726160.5186681745,5991.557276898502,197907.697916667,363.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,53,7
+2020-02-24,浙江秀舟热电有限公司,13.5375,46.5666666666667,21.9218,4843.29,354412.5046406461,1826577.4345617683,2899.362133795703,193033.228333333,326.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,54,7
+2020-02-25,浙江秀舟热电有限公司,12.7916666666667,47.5875,19.6367,5013.22999999999,336666.41470163123,1974031.516304382,14771.597733841534,196385.324583333,328.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,55,7
+2020-02-26,浙江秀舟热电有限公司,12.1458333333333,47.275,24.0429,5441.01,368996.73895090236,2202588.226692985,5384.567797907694,215572.460416667,341.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,56,8
+2020-02-27,浙江秀舟热电有限公司,13.3916666666667,46.8916666666667,26.7187,5848.28,404905.268656842,2964288.5676240474,66097.27814832793,221838.990833333,384.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,57,8
+2020-02-28,浙江秀舟热电有限公司,13.7,48.3916666666667,22.2812,5596.3,430822.73805764207,3962237.089864766,126094.45991931015,232682.15625,383.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,58,8
+2020-03-01,浙江秀舟热电有限公司,12.6958333333333,48.9666666666667,39.7617,8013.55,489037.92000970495,2653697.4964728695,70959.21519963731,277269.359583333,493.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,60,8
+2020-03-02,浙江秀舟热电有限公司,12.3958333333333,48.7875,40.3984,8171.77,497349.52553657326,3154982.5688126683,128998.84403741271,267862.999583333,526.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,61,8
+2020-03-05,浙江秀舟热电有限公司,10.4875,50.0208333333333,42.9183,8889.62,577034.1945324444,5189559.091469011,146056.25475499468,333193.726666667,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,64,9
+2020-03-06,浙江秀舟热电有限公司,10.2,50.5166666666667,43.082,8828.09,578174.2166976766,4457658.918133598,18598.932308384377,325002.78875,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,65,9
+2020-03-07,浙江秀舟热电有限公司,10.4208333333333,50.9833333333333,43.4398,8857.39,549894.9456146945,4527087.447742081,16469.95864004888,317625.434583333,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,66,9
+2020-03-08,浙江秀舟热电有限公司,10.4125,51.1708333333333,41.1571,8488.20999999999,573295.7969060533,4816015.532475672,11697.502863499414,335157.800833333,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,67,9
+2020-03-09,浙江秀舟热电有限公司,10.2416666666667,51.575,44.0834,8819.29999999999,573524.1221453948,4022160.208982611,6155.686203666646,329862.615416667,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,68,9
+2020-03-10,浙江秀舟热电有限公司,10.7875,50.6875,44.3583,8983.37999999999,556110.7996091762,4602599.91332223,81082.25473579078,334768.864166667,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,69,9
+2020-03-11,浙江秀舟热电有限公司,10.1583333333333,51.5791666666667,43.3583,8892.54999999999,581535.0444546897,4302040.311300634,4318.907395588817,331520.385,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,70,10
+2020-03-12,浙江秀舟热电有限公司,10.6375,51.1708333333333,45.203,9109.37,593488.786331409,4296184.826977895,65374.266391641984,337773.715,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,71,10
+2020-03-13,浙江秀舟热电有限公司,10.15,51.8416666666667,43.7181,8722.61,585384.9211890311,4779330.159438503,0.0,340407.7925,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,72,10
+2020-03-14,浙江秀舟热电有限公司,10.9458333333333,50.2208333333333,45.9584,9422.87999999999,543665.7188873331,5395562.456592729,0.0,323029.192083333,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,73,10
+2020-03-15,浙江秀舟热电有限公司,11.925,48.5583333333333,33.6005,7779.15,499242.96385375777,4965713.226106464,103.19201402515061,290350.97375,469.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,74,10
+2020-03-16,浙江秀舟热电有限公司,11.7375,49.1375,26.6796,6624.73,478403.5145648761,3464314.5859426563,0.0,278214.688333333,406.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,75,10
+2020-03-17,浙江秀舟热电有限公司,11.2416666666667,50.3541666666667,25.2812,6867.92,557431.0066645545,4353995.602189912,0.0,325800.637916667,403.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,76,10
+2020-03-18,浙江秀舟热电有限公司,11.85,49.8166666666667,41.6015,9041.98,642741.9774652761,6259999.692639274,16989.373479204765,383919.9925,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,77,11
+2020-03-19,浙江秀舟热电有限公司,12.2541666666667,49.3458333333333,43.3593,8951.15,665363.1010409617,5981885.798008229,193142.84380238288,394765.349166667,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,78,11
+2020-03-20,浙江秀舟热电有限公司,13.1125,48.5208333333333,43.5195,9320.33,600514.3044025714,5268619.68832269,185757.6084005174,391171.045416667,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,79,11
+2020-03-21,浙江秀舟热电有限公司,13.2083333333333,50.6166666666667,42.5585,9361.35,373262.67266012327,4543854.035049055,1832718.5603112779,329171.756666667,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,80,11
+2020-03-22,浙江秀舟热电有限公司,14.0208333333333,50.2083333333333,43.3593,9293.95999999999,371626.3152897466,4408796.2824324835,2979587.979225752,344480.172916667,577.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,81,11
+2020-03-23,浙江秀舟热电有限公司,15.2208333333333,46.4458333333333,35.9218,8083.89,356162.0244899525,4043342.7072358374,904192.7258033814,323860.815416667,489.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,82,11
+2020-03-24,浙江秀舟热电有限公司,15.45,46.25,27.5585,6832.76,363462.97969118156,3261101.865114883,114077.1082453533,320597.738333333,416.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,83,11
+2020-03-25,浙江秀舟热电有限公司,12.225,52.5625,26.3632,6610.08,259309.49364877198,3046354.1424023663,86793.99004551205,218228.540416667,403.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,84,12
+2020-03-26,浙江秀舟热电有限公司,11.9958333333333,54.125,26.6367,6457.72,250035.6045768721,2842261.6109168287,109593.0271757358,220759.809166667,390.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,85,12
+2020-03-27,浙江秀舟热电有限公司,12.3041666666667,52.3083333333333,25.121,6188.16,234645.5792190706,2721828.764784906,10941.633524747429,213325.084583333,386.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,86,12
+2020-03-28,浙江秀舟热电有限公司,11.8083333333333,52.3416666666667,24.6015,5903.95,268831.3199785303,2763447.071851419,305897.57887614187,229891.64375,378.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,87,12
+2020-03-29,浙江秀舟热电有限公司,11.2041666666667,52.5875,37.5976,7705.9,271361.09375855036,3032440.139781578,117284.54614786386,228861.683333333,480.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,88,12
+2020-03-30,浙江秀舟热电有限公司,10.4125,53.6041666666667,38.8398,7887.56,281943.2146329598,2960296.7699394156,522162.7836678739,235187.068333333,485.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,89,12
+2020-03-31,浙江秀舟热电有限公司,10.4291666666667,53.4041666666667,39.4023,8423.75,282472.0644606563,3351034.0120990155,637038.4798681509,234253.174166667,509.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,90,12
+2020-04-01,浙江秀舟热电有限公司,10.9541666666667,53.1333333333333,38.3984,8012.55,268717.4922015636,3207235.9998420184,576052.5863597909,229114.641666667,478.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,91,13
+2020-04-02,浙江秀舟热电有限公司,10.4166666666667,53.125,35.4414,7802.59,295302.92828684504,3211049.476722284,740582.2077849278,241251.870416667,477.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,92,13
+2020-04-03,浙江秀舟热电有限公司,12.4083333333333,50.6416666666667,41.8007,8869.11,240506.41086838863,2553812.844460217,734957.2698886432,195156.530416667,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,93,13
+2020-04-04,浙江秀舟热电有限公司,10.9958333333333,53.2958333333333,23.9164,5628.53,276897.8023592303,3859677.067826354,985156.0497749931,221949.694166667,383.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,94,13
+2020-04-05,浙江秀舟热电有限公司,10.975,53.35,41.1601,8538.02,282026.90794880723,3439305.565984974,1292151.7111957786,224460.102916667,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,95,13
+2020-04-06,浙江秀舟热电有限公司,10.7916666666667,53.5583333333333,39.5614,8221.58,301544.9599428168,3714528.1844826313,1029259.2329983918,234589.919166667,532.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,96,13
+2020-04-07,浙江秀舟热电有限公司,10.5458333333333,54.1041666666667,42.3193,8661.08,308257.1261732356,3250123.525269176,1473215.973007157,236732.1475,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,97,13
+2020-04-08,浙江秀舟热电有限公司,10.2125,54.4625,42.4819,8760.7,309804.5727693526,3682150.1032175184,811995.0755674854,235277.29625,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,98,14
+2020-04-09,浙江秀舟热电有限公司,10.6416666666667,54.4125,42.0004,8901.34,291932.9159015438,3094959.1464193123,663575.0039821723,220851.546666667,554.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,99,14
+2020-04-10,浙江秀舟热电有限公司,10.525,54.9666666666667,42.1166,8766.56,289242.8352219618,2825364.7595485775,1007019.8956007843,226606.741666667,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,100,14
+2020-04-11,浙江秀舟热电有限公司,11.6541666666667,53.6416666666667,43.4414,9475.62,267184.4232841227,3011957.7227835297,947651.0304541991,214030.320416667,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,101,14
+2020-04-12,浙江秀舟热电有限公司,12.2875,52.125,30.0781,6999.77,271022.17456780083,2611105.9022801006,553257.5434862985,208499.83375,427.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,102,14
+2020-04-13,浙江秀舟热电有限公司,11.15,53.125,27.3632,6818.11,300601.78745790303,3218727.971896964,948706.6297729627,229178.172916667,415.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,103,14
+2020-04-14,浙江秀舟热电有限公司,10.3208333333333,54.05,43.1992,9402.37,333742.9330951413,3728454.6874723225,716463.7252029442,248074.960833333,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,104,14
+2020-04-15,浙江秀舟热电有限公司,10.0708333333333,54.3416666666667,43.2401,9056.62999999999,309691.27196792804,3039110.326198536,785647.4746089027,237878.56,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,105,15
+2020-04-16,浙江秀舟热电有限公司,10.7958333333333,54.3583333333333,43.8397,8828.09,289149.89893150213,3048206.3751768447,931193.7516857702,223490.1875,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,106,15
+2020-04-17,浙江秀舟热电有限公司,10.4666666666667,54.8875,40.4414,7471.5,297889.1802339661,3633301.801020123,829636.0493317798,234027.153333333,506.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,107,15
+2020-04-18,浙江秀舟热电有限公司,10.2625,54.8458333333333,41.8378,8397.37999999999,308516.4842740193,3465476.4384293137,849572.741246576,236138.004583333,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,108,15
+2020-04-20,浙江秀舟热电有限公司,12.1583333333333,26.4916666666667,26.3203,5918.6,34885.180351375304,393466.76345705107,40536.638745873075,25846.8775,387.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,110,15
+2020-04-21,浙江秀舟热电有限公司,11.5875,53.3125,14.9218,4749.53,61039.20145269704,653568.195259314,191050.050509252,50444.2804166667,324.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,111,15
+2020-04-22,浙江秀舟热电有限公司,11.3958333333333,53.0958333333333,20.5976,5821.91,63273.571965464056,586122.8011252073,97362.05054222555,51628.4870833333,397.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,112,16
+2020-04-23,浙江秀舟热电有限公司,11.9916666666667,52.7291666666667,14.4414,4849.14999999999,63006.38494928189,548712.5412622541,43108.689190710924,51046.1279166667,340.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,113,16
+2020-04-24,浙江秀舟热电有限公司,11.6041666666667,51.2083333333333,14.0,4620.60999999999,65670.85326821577,630830.2766333668,112149.511818307,55331.3345833333,340.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,114,16
+2020-04-25,浙江秀舟热电有限公司,11.9041666666667,52.025,14.2773,5238.84,282212.1097577878,2440093.7364351526,439990.63797971973,231302.52125,353.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,115,16
+2020-04-26,浙江秀舟热电有限公司,12.7791666666667,52.4541666666667,25.0,6273.13,62296.04010906699,484075.5070711379,18783.715456858597,50993.31875,426.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,116,16
+2020-04-27,浙江秀舟热电有限公司,11.9916666666667,52.8458333333333,17.121,4863.8,61229.90341598254,549428.3633829259,140617.40128016862,49399.96375,340.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,117,16
+2020-04-28,浙江秀舟热电有限公司,11.75,53.0333333333333,25.6796,6577.85,63708.60184681649,472330.3197746186,63967.8609427746,49308.54375,426.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,118,16
+2020-04-29,浙江秀舟热电有限公司,10.975,54.5166666666667,27.121,6982.19,69994.92734595168,667487.2355356946,203935.60720187522,53505.9354166667,458.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,119,17
+2020-04-30,浙江秀舟热电有限公司,10.4458333333333,55.7041666666667,41.2416,9056.62999999999,62995.42782207478,679982.545431865,324258.26588203653,50653.88125,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,120,17
+2020-05-01,浙江秀舟热电有限公司,10.825,55.7083333333333,43.2782,8848.6,58042.77358442051,553735.741144927,338822.1860763742,48028.2245833333,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,121,17
+2020-05-02,浙江秀舟热电有限公司,10.8041666666667,55.8458333333333,41.5195,7811.38,57834.92154677289,573084.5194076858,281734.63801656954,48000.5354166667,506.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,122,17
+2020-05-03,浙江秀舟热电有限公司,10.775,55.7458333333333,41.8007,7875.84,57637.05451396938,556088.5877860938,269716.4069633472,48606.88,516.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,123,17
+2020-05-04,浙江秀舟热电有限公司,10.6208333333333,56.3708333333333,40.5976,7304.49,57058.64916731364,639111.8148064653,292719.0285995161,47985.4916666667,491.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,124,17
+2020-05-05,浙江秀舟热电有限公司,10.6166666666667,56.025,42.6015,8025.27,58537.63486196838,684216.5864542911,405649.8971073894,48736.74375,515.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,125,17
+2020-05-06,浙江秀舟热电有限公司,10.7208333333333,55.775,42.0814,8561.45999999999,60934.615453244114,789816.0770918822,359863.7142042823,49772.67,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,126,18
+2020-05-07,浙江秀舟热电有限公司,10.5333333333333,56.325,43.0394,8646.43,60664.304848608896,763800.3189735163,447962.10866022867,47881.0341666667,552.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,127,18
+2020-05-08,浙江秀舟热电有限公司,11.0541666666667,56.2208333333333,41.6796,8567.32,59794.29091069494,614153.6957569916,283775.3888998451,47530.9254166667,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,128,18
+2020-05-09,浙江秀舟热电有限公司,10.8583333333333,55.9291666666667,35.6796,7623.86,57671.8823997704,674737.3256225559,322756.02633296855,48720.5079166667,495.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,129,18
+2020-05-10,浙江秀舟热电有限公司,10.6583333333333,55.9041666666667,41.3203,8069.22,65186.080665976086,817150.2886384171,233636.8769247521,52712.50875,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,130,18
+2020-05-11,浙江秀舟热电有限公司,10.8791666666667,55.9041666666667,41.4403,8362.21999999999,60369.80451932258,740053.5287685952,248196.07556790722,47148.6304166667,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,131,18
+2020-05-12,浙江秀舟热电有限公司,10.8083333333333,54.3916666666667,37.3993,7612.14,61570.420112964675,681136.6434981963,233940.69509879677,48165.8054166667,520.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,132,18
+2020-05-13,浙江秀舟热电有限公司,10.6,56.225,43.5195,8810.51,62605.742806179245,726257.7555337076,142731.26023534455,47212.94,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,133,19
+2020-05-14,浙江秀舟热电有限公司,10.9791666666667,56.8333333333333,43.5195,8819.29999999999,67089.9812515504,804430.7410561567,190354.372568095,50085.0133333333,578.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,134,19
+2020-05-15,浙江秀舟热电有限公司,11.6625,56.5625,43.121,8707.95999999999,59618.14812745029,717254.7828497782,73480.21281492939,46428.00125,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,135,19
+2020-05-16,浙江秀舟热电有限公司,11.2458333333333,57.1708333333333,31.039,6372.75,69584.20059330139,946579.6188224371,86333.54013167291,53766.44375,487.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,136,19
+2020-05-17,浙江秀舟热电有限公司,11.1,57.625,40.6015,8013.55,62293.297701234165,672886.963694738,136355.6857079175,47955.41625,583.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,137,19
+2020-05-18,浙江秀舟热电有限公司,10.8666666666667,56.625,43.3984,8069.22,61496.7807434045,664421.0506109847,153457.70898938796,48225.6654166667,572.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,138,19
+2020-05-19,浙江秀舟热电有限公司,11.4333333333333,54.8625,43.8398,8491.14,69853.09705383451,764759.8591614858,218971.85702446153,53156.1466666667,597.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,139,19
+2020-05-20,浙江秀舟热电有限公司,13.0708333333333,53.0666666666667,38.8828,7828.96,76560.8574967982,595978.2362426393,128971.1051176003,57468.8825,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,140,20
+2020-05-21,浙江秀舟热电有限公司,12.2625,55.2791666666667,36.7187,7163.85,102076.86800285811,987700.6018693363,204599.71563975548,75357.565,532.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,141,20
+2020-05-22,浙江秀舟热电有限公司,12.05,55.3166666666667,45.3593,8886.69,172019.93928259867,1750634.7006471057,245217.1174188917,125842.76375,611.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,142,20
+2020-05-23,浙江秀舟热电有限公司,11.9458333333333,55.6416666666667,44.3603,8880.83,91512.45132459258,852652.0131416682,109515.65558517899,66203.8291666667,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,143,20
+2020-05-24,浙江秀舟热电有限公司,12.0333333333333,55.7916666666667,43.7578,8584.9,100497.36814890854,970270.8441186064,131793.94915756478,73682.4266666667,601.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,144,20
+2020-05-25,浙江秀舟热电有限公司,11.7291666666667,55.1958333333333,42.2031,8139.54,210814.3011455611,2550151.4431760176,295507.5267246418,159907.911666667,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,145,20
+2020-05-26,浙江秀舟热电有限公司,13.0291666666667,52.525,41.4794,8124.89,108291.53850645054,918501.4199632478,55814.94656389815,83412.165,580.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,146,20
+2020-05-27,浙江秀舟热电有限公司,14.5083333333333,49.3458333333333,40.5195,6812.25,540702.6201657233,3925820.7927699164,642011.6863634385,409972.78125,520.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,147,21
+2020-05-28,浙江秀舟热电有限公司,14.7083333333333,49.2291666666667,40.5976,7817.24,676312.8862078594,3830141.5087985224,1460634.2184430608,507561.584583333,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,148,21
+2020-05-29,浙江秀舟热电有限公司,14.4333333333333,49.8875,41.0,8511.65,657342.284491375,4382396.8377411915,858610.2561923508,512757.22125,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,149,21
+2020-05-30,浙江秀舟热电有限公司,14.85,49.2166666666667,44.5625,9003.89,693142.1685416354,4238117.997545718,534498.4728704996,534395.497083333,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,150,21
+2020-05-31,浙江秀舟热电有限公司,14.7291666666667,49.9416666666667,44.6406,8860.32,649846.0340838404,4735895.166704097,599107.8469269762,510234.8725,605.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,151,21
+2020-06-01,浙江秀舟热电有限公司,14.7416666666667,50.3416666666667,44.8789,8734.33,643258.7309894436,4571536.553325795,497434.4957789288,501922.877916667,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,152,21
+2020-06-02,浙江秀舟热电有限公司,14.675,50.3875,44.0,8801.71999999999,596001.9878575122,4291575.838909895,258921.71858396917,487148.425,608.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,153,21
+2020-06-03,浙江秀舟热电有限公司,15.1375,50.2125,42.4789,8300.69,570619.0652736275,4667810.310155447,22123.614221763106,481302.704583333,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,154,22
+2020-06-04,浙江秀舟热电有限公司,15.0583333333333,49.9833333333333,42.3203,7881.7,491530.6628635632,3690742.6476797992,311322.35165820265,415414.72625,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,155,22
+2020-06-05,浙江秀舟热电有限公司,16.0,47.9875,40.2421,7664.88,269078.42310708837,1182841.2759793142,88384.6172527381,229644.760416667,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,156,22
+2020-06-06,浙江秀舟热电有限公司,15.3,48.1416666666667,28.2812,6056.31,292896.0208083312,1330397.8253366642,175203.4556081448,250167.944166667,465.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,157,22
+2020-06-07,浙江秀舟热电有限公司,15.3,48.1791666666667,43.039,8877.9,324952.67262383853,1541870.3875461414,184842.46537863175,268048.12625,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,158,22
+2020-06-08,浙江秀舟热电有限公司,15.7291666666667,48.0541666666667,41.9609,8265.53,303983.189227216,1130573.3965291234,9267.220679731005,257764.954583333,572.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,159,22
+2020-06-09,浙江秀舟热电有限公司,15.3833333333333,48.8416666666667,35.6406,7635.58,307031.1654019252,1771767.2542651277,8118.612546685502,259811.781666667,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,160,22
+2020-06-10,浙江秀舟热电有限公司,15.4833333333333,49.1583333333333,37.6328,8121.96,260631.18048107345,1822046.0039165604,1269.4364954938014,223654.58,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,161,23
+2020-06-11,浙江秀舟热电有限公司,15.1083333333333,49.8916666666667,37.2031,7773.29,289740.6720327639,2045705.947047804,67612.0030681786,247767.13,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,162,23
+2020-06-12,浙江秀舟热电有限公司,15.3541666666667,49.6,43.3593,8233.29999999999,315421.8945692835,1821191.6197029743,190.8755791644599,269402.836666667,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,163,23
+2020-06-13,浙江秀舟热电有限公司,15.2666666666667,49.7791666666667,44.5234,8247.95,328842.62935102225,1742612.153774623,195.2167582968284,275683.025416667,576.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,164,23
+2020-06-14,浙江秀舟热电有限公司,15.4625,49.675,43.2812,8186.42,300673.6642624965,1964290.4450726826,269.581886666913,253718.53875,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,165,23
+2020-06-15,浙江秀舟热电有限公司,15.1416666666667,49.6541666666667,42.5156,7899.28,318423.99153828213,2131880.407957745,192.63399367106348,271930.32375,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,166,23
+2020-06-16,浙江秀舟热电有限公司,14.9958333333333,49.4416666666667,43.3984,8593.69,308619.66216957354,1865007.6311519404,96.02354143420172,270923.267916667,608.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,167,23
+2020-06-17,浙江秀舟热电有限公司,15.325,49.3958333333333,44.3984,8766.56,290878.7747407328,1909229.9521785378,728.3349602271786,256831.340833333,605.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,168,24
+2020-06-18,浙江秀舟热电有限公司,15.8875,48.1833333333333,41.4062,7653.16,280930.2799574945,1832701.8326727997,96009.65347884035,249377.962083333,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,169,24
+2020-06-19,浙江秀舟热电有限公司,15.5125,47.7291666666667,37.5156,7462.71,312721.49145174003,1956906.506275002,4539.047955755507,265386.861666667,543.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,170,24
+2020-06-20,浙江秀舟热电有限公司,14.825,48.3041666666667,40.9218,8165.91,326572.57504591387,2438006.4481132207,8616.690634456847,269173.175416667,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,171,24
+2020-06-21,浙江秀舟热电有限公司,14.7416666666667,48.7958333333333,43.4765,9115.23,332152.12516178936,2287736.1168006896,6616.194179031038,269995.793333333,635.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,172,24
+2020-06-22,浙江秀舟热电有限公司,14.6291666666667,49.3083333333333,44.8437,9135.74,333523.71965713083,2191335.7631685613,35224.58266054783,272171.066666667,633.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,173,24
+2020-06-23,浙江秀舟热电有限公司,15.0166666666667,49.5958333333333,42.7992,9006.82,317200.1369080342,2254639.436423752,44411.6298687403,254804.909583333,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,174,24
+2020-06-24,浙江秀舟热电有限公司,14.1625,51.3833333333333,40.9615,8095.59,176228.39496577415,1433500.7383312322,1880.0334106399234,140429.365,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,175,25
+2020-06-25,浙江秀舟热电有限公司,13.6708333333333,52.4833333333333,38.8374,7755.71,72175.11239992412,647278.2799436635,16844.79066632211,55979.7533333333,545.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,176,25
+2020-06-26,浙江秀舟热电有限公司,13.2375,53.2833333333333,42.6406,7957.88,75256.02697157575,506515.7743988782,7098.473895427027,58070.0075,559.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,177,25
+2020-06-27,浙江秀舟热电有限公司,14.1291666666667,53.125,42.4375,8080.94,113617.54094937707,873931.789917302,9900.913752872753,86668.0845833333,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,178,25
+2020-06-28,浙江秀舟热电有限公司,12.2916666666667,53.7708333333333,45.2421,8854.45999999999,75919.00740088087,525048.5116674197,8142.664520663499,61756.9595833333,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,179,25
+2020-06-29,浙江秀舟热电有限公司,12.35,53.4666666666667,45.125,8696.24,82868.5972326539,562437.3436128887,9660.412115926983,68477.34,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,180,25
+2020-06-30,浙江秀舟热电有限公司,13.0208333333333,51.925,45.2734,8842.74,203562.5899982911,1140944.9996688634,26182.7675791343,159746.072916667,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,181,25
+2020-07-01,浙江秀舟热电有限公司,12.6833333333333,52.1166666666667,45.6015,8948.21999999999,184665.80886927916,986017.9539715317,13168.196365187228,147485.47125,608.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,182,26
+2020-07-02,浙江秀舟热电有限公司,11.9958333333333,52.9125,44.4843,8930.64,137765.5518358317,1048088.2176559,56215.58354466119,112187.105,589.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,183,26
+2020-07-03,浙江秀舟热电有限公司,12.3083333333333,52.4791666666667,39.5937,7975.46,99361.65324972727,770903.6997712273,13810.663057100777,82286.2475,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,184,26
+2020-07-04,浙江秀舟热电有限公司,12.0458333333333,52.4416666666667,41.4453,8511.65,125083.91321112563,834528.5534841394,20532.978071925914,101336.69,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,185,26
+2020-07-05,浙江秀舟热电有限公司,12.6833333333333,52.7583333333333,43.1953,7823.1,113758.85252571963,693856.8621767253,21923.749080639107,89402.695,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,186,26
+2020-07-06,浙江秀舟热电有限公司,12.1833333333333,53.5375,44.6406,8529.23,137144.15476729395,1152315.4142047027,35301.08588993658,107416.986666667,568.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,187,26
+2020-07-07,浙江秀舟热电有限公司,14.2166666666667,51.875,45.2812,9074.20999999999,91409.89653700792,371111.726928412,15662.05720073441,68077.685,592.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,188,26
+2020-07-08,浙江秀舟热电有限公司,13.1583333333333,52.325,24.3203,6147.14,113039.83848459658,492060.6632157263,16467.01828042769,84613.58,423.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,189,27
+2020-07-09,浙江秀舟热电有限公司,12.3375,52.9958333333333,42.8437,8042.85,128667.29203483167,767534.0053894309,84003.94404395555,97328.74125,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,190,27
+2020-07-10,浙江秀舟热电有限公司,12.3791666666667,52.7041666666667,44.3593,8634.70999999999,116185.20489196932,619202.3312796333,42269.28406545947,90101.9579166666,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,191,27
+2020-07-11,浙江秀舟热电有限公司,12.8041666666667,53.625,44.3203,8409.1,189203.730919033,861683.6212548908,41621.00236160353,136415.243333333,564.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,192,27
+2020-07-12,浙江秀舟热电有限公司,14.4791666666667,53.3708333333333,44.6796,8980.45,146533.51932047072,656414.3240664346,27921.24463655852,100933.76,590.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,193,27
+2020-07-13,浙江秀舟热电有限公司,11.5666666666667,52.9458333333333,43.7578,8230.37,122574.10506308402,758438.048558481,63404.27568533721,106876.21125,552.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,194,27
+2020-07-14,浙江秀舟热电有限公司,12.0208333333333,52.8666666666667,45.0,8866.18,159760.1615570221,1090271.4007358816,226934.55867090213,126013.64,577.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,195,27
+2020-07-15,浙江秀舟热电有限公司,12.0083333333333,52.0208333333333,44.5625,8792.93,135853.44545643602,799079.0328904035,356993.8962306844,105047.945,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,196,28
+2020-07-16,浙江秀舟热电有限公司,11.7958333333333,52.4333333333333,45.039,8939.43,158477.75536759448,978610.6151851778,493158.30325785826,119323.573333333,584.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,197,28
+2020-07-17,浙江秀舟热电有限公司,12.1291666666667,54.1416666666667,44.2812,9039.04999999999,204980.2436299577,1235968.4385575892,661399.4510831601,148925.5025,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,198,28
+2020-07-18,浙江秀舟热电有限公司,12.7416666666667,52.9083333333333,36.3203,7415.83,118631.90279627204,725230.5519985784,217362.0503059022,88818.4966666667,496.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,199,28
+2020-07-19,浙江秀舟热电有限公司,12.6875,51.9916666666667,39.8359,8101.45,129799.94502507582,900649.8936234305,424300.1978557036,99546.1429166667,551.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,200,28
+2020-07-20,浙江秀舟热电有限公司,12.2166666666667,52.0541666666667,42.2812,8119.03,189508.4195629817,1263821.7830141552,1062996.7710322887,144663.4525,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,201,28
+2020-07-21,浙江秀舟热电有限公司,13.4666666666667,50.8166666666667,44.8828,9071.28,243526.76196792428,1563828.1358961845,954142.6500313693,183663.19125,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,202,28
+2020-07-22,浙江秀舟热电有限公司,14.6375,49.3208333333333,36.5937,7919.79,351612.3599060641,2805437.859524483,204564.16104124024,266364.843333333,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,203,29
+2020-07-23,浙江秀舟热电有限公司,15.1333333333333,49.1083333333333,36.3203,7779.15,224636.87162944608,660733.8246458456,224100.74544417247,167897.3725,512.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,204,29
+2020-07-24,浙江秀舟热电有限公司,14.0125,48.4208333333333,37.2031,6747.79,83601.56123999666,311920.4507246389,49779.610832541555,58286.7641666667,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,205,29
+2020-07-25,浙江秀舟热电有限公司,13.7916666666667,47.8583333333333,44.8359,8699.17,85830.91296454986,332930.47774583765,39140.92631125444,59368.4120833333,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,206,29
+2020-07-26,浙江秀舟热电有限公司,14.1083333333333,47.9625,36.5234,7099.39,86787.43499778419,282402.10895327496,33232.77116993702,59638.1191666667,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,207,29
+2020-07-27,浙江秀舟热电有限公司,14.4083333333333,48.3291666666667,38.9218,6982.19,85542.35054675229,250497.2223127116,31358.470584094117,59534.3191666667,498.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,208,29
+2020-07-28,浙江秀舟热电有限公司,13.8083333333333,49.3625,36.4375,6320.01,86670.57279721153,323976.1026273445,64147.90229168005,58824.4766666667,476.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,209,29
+2020-07-29,浙江秀舟热电有限公司,13.6125,49.5708333333333,45.3203,8637.64,88076.31756623177,330931.7490574783,166547.7337870368,59063.9854166667,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,210,30
+2020-07-30,浙江秀舟热电有限公司,14.0291666666667,48.875,43.5234,8218.65,88575.15007548656,190068.92628602256,188328.4500885218,59853.405,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,211,30
+2020-07-31,浙江秀舟热电有限公司,14.7,48.3416666666667,29.3593,6372.75,88482.22352672751,144079.04813236799,169827.41753490374,59548.6695833333,456.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,212,30
+2020-08-01,浙江秀舟热电有限公司,14.0208333333333,49.3166666666667,27.5546,5786.75,87551.94319391169,160109.88582081994,166089.95896652437,58847.8366666667,450.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,213,30
+2020-08-02,浙江秀舟热电有限公司,13.8833333333333,49.3791666666667,42.3593,7887.56,88640.38964762098,287179.45036046876,164701.17512532603,58750.8879166667,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,214,30
+2020-08-03,浙江秀舟热电有限公司,13.9625,49.1625,42.7265,7922.72,91308.73124465036,315975.6108139665,142701.0772457377,58606.0420833333,545.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,215,30
+2020-08-04,浙江秀舟热电有限公司,13.1708333333333,50.7708333333333,43.875,8063.36,92265.1792546581,288239.9881461438,245067.3449418386,57436.2591666667,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,216,30
+2020-08-05,浙江秀舟热电有限公司,12.25,52.6458333333333,44.9218,8596.62,103152.6081071144,578082.8456133335,372075.6214370634,56232.9241666667,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,217,31
+2020-08-06,浙江秀舟热电有限公司,12.4541666666667,52.3458333333333,44.7578,8628.85,106325.00223082997,482682.770172344,416935.34952889394,56832.5204166667,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,218,31
+2020-08-07,浙江秀舟热电有限公司,12.875,52.0833333333333,39.3593,7445.13,109552.15741400773,358125.6207315045,772170.8750694524,57168.5116666667,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,219,31
+2020-08-08,浙江秀舟热电有限公司,12.4083333333333,52.0833333333333,28.9609,6328.8,124062.69490063828,129588.1594468021,308084.68804678496,56947.1308333333,457.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,220,31
+2020-08-09,浙江秀舟热电有限公司,12.6291666666667,52.0083333333333,26.1181,6194.02,35929.688574551976,98569.18300578033,275113.6053764773,56988.2195833333,465.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,221,31
+2020-08-10,浙江秀舟热电有限公司,12.9375,52.1125,28.1635,5754.52,36349.35588238322,88932.6188017029,234636.79641011084,57036.125,446.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,222,31
+2020-08-11,浙江秀舟热电有限公司,12.7208333333333,51.9666666666667,27.5234,5953.76,36901.74502189604,147957.0838844114,240525.33260182373,57214.1983333333,438.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,223,31
+2020-08-12,浙江秀舟热电有限公司,12.625,51.6375,28.039,6020.81,36866.18120437304,302001.327446395,215812.81661982255,57070.0429166667,445.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,224,32
+2020-08-13,浙江秀舟热电有限公司,12.1375,52.5291666666667,39.7968,7864.12,36896.76063708633,522523.1838605563,247501.63449528464,56840.60125,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,225,32
+2020-08-14,浙江秀舟热电有限公司,12.1333333333333,52.7291666666667,44.4765,8798.79,37328.36151008668,465876.25766538567,157650.64405352733,56712.68,602.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,226,32
+2020-08-15,浙江秀舟热电有限公司,12.3291666666667,52.45,45.0859,8564.39,37903.548573575696,395279.57990169653,175075.4578505884,56572.2179166667,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,227,32
+2020-08-16,浙江秀舟热电有限公司,12.5833333333333,51.8375,43.7578,8353.43,38754.91116058027,392105.32370027766,140481.53289089075,57075.93375,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,228,32
+2020-08-17,浙江秀舟热电有限公司,12.0666666666667,52.6,44.2421,7940.3,38854.28541760697,501767.441880047,202962.7771560306,56277.7066666667,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,229,32
+2020-08-18,浙江秀舟热电有限公司,11.8791666666667,52.3416666666667,44.3203,8558.53,39268.741992952724,468397.63475508185,137470.69565340778,57123.29875,573.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,230,32
+2020-08-19,浙江秀舟热电有限公司,11.625,52.7291666666667,43.3984,8558.53,39035.02774505518,535146.4527028316,186674.6174549057,56475.79375,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,231,33
+2020-08-20,浙江秀舟热电有限公司,11.6,54.0291666666667,43.1562,8262.6,57868.17365115762,714331.1096067523,329296.7617405748,84443.4754166667,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,232,33
+2020-08-21,浙江秀舟热电有限公司,11.8416666666667,53.4333333333333,41.8437,8019.41,75131.0157220669,780327.189087884,14449.73093897398,108329.49375,556.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,233,33
+2020-08-22,浙江秀舟热电有限公司,12.4333333333333,52.85,30.6406,6536.83,57796.533162543565,278393.8341017726,45615.2010610209,82108.7745833333,472.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,234,33
+2020-08-23,浙江秀舟热电有限公司,12.625,52.2541666666667,26.7578,5936.18,59540.073889412095,330749.90241334174,41270.735321735396,85238.0070833333,442.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,235,33
+2020-08-24,浙江秀舟热电有限公司,12.6416666666667,51.0083333333333,26.3203,5405.85,42958.75588408799,375274.3176586013,30750.814503817193,62362.4345833333,423.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,236,33
+2020-08-25,浙江秀舟热电有限公司,12.0916666666667,51.7,19.9609,3697.66,41102.95741309039,590806.7235883222,31860.503623891167,59010.1875,300.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,237,33
+2020-08-26,浙江秀舟热电有限公司,13.2166666666667,49.8291666666667,20.1171,4101.93,44715.15394056287,503727.6854632203,34237.69629194241,60034.26375,330.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,238,34
+2020-08-27,浙江秀舟热电有限公司,11.8041666666667,52.0833333333333,17.3593,3202.49,82997.58616888388,568605.3162322462,116320.9034046827,110477.305416667,309.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,239,34
+2020-08-28,浙江秀舟热电有限公司,12.0791666666667,53.1916666666667,41.125,7949.09,111883.7320717619,1906813.2046145662,173346.17699276275,150067.142083333,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,240,34
+2020-08-29,浙江秀舟热电有限公司,12.2625,53.0708333333333,41.2343,7960.81,73314.94085141437,858131.1490545804,141380.07987159898,104018.311666667,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,241,34
+2020-08-30,浙江秀舟热电有限公司,12.7583333333333,52.55,44.0468,8584.0,103776.3873149986,1279033.8392445326,245354.13446251117,144345.657916667,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,242,34
+2020-08-31,浙江秀舟热电有限公司,12.4208333333333,52.6958333333333,45.1562,8816.37,90093.05193491801,1385933.6538526672,264590.46089550003,125676.062083333,576.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,243,34
+2020-09-01,浙江秀舟热电有限公司,12.1958333333333,52.3708333333333,43.8828,8467.7,92101.65621457122,1120253.5704710458,315174.8326095203,131900.7025,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,244,34
+2020-09-02,浙江秀舟热电有限公司,13.0708333333333,50.9125,41.8359,7773.29,68514.73543194523,599820.3963264422,229270.1570814562,98026.7595833333,530.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,245,35
+2020-09-03,浙江秀舟热电有限公司,12.3833333333333,50.9708333333333,38.3984,7785.01,115061.57914893786,1700359.673634698,516160.24698442774,166672.076666667,511.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,246,35
+2020-09-04,浙江秀舟热电有限公司,12.3333333333333,51.0625,43.6406,8587.83,84239.94753048246,982546.8240917668,269150.676217908,120703.12125,552.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,247,35
+2020-09-05,浙江秀舟热电有限公司,11.9125,51.0708333333333,44.2812,8412.03,84367.05954087,1281968.9422316113,484316.3417994714,125124.512916667,554.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,248,35
+2020-09-06,浙江秀舟热电有限公司,12.3333333333333,50.4333333333333,44.8437,8854.45999999999,113284.26329524291,1282250.1823319288,415375.6320825564,170444.50125,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,249,35
+2020-09-07,浙江秀舟热电有限公司,13.2791666666667,49.2083333333333,41.3203,8177.63,95338.26573454993,851819.3636718119,588293.1809149587,143740.7275,539.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,250,35
+2020-09-08,浙江秀舟热电有限公司,13.0291666666667,50.1666666666667,29.8359,6513.39,58173.58812549424,426117.72385291965,246011.19797648734,86171.55125,455.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,251,35
+2020-09-09,浙江秀舟热电有限公司,12.9166666666667,49.5375,28.9218,5420.5,39227.09540912218,222434.26511109312,114859.79895693048,59425.2395833333,422.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,252,36
+2020-09-10,浙江秀舟热电有限公司,13.4791666666667,49.2791666666667,19.1968,3032.55,39171.28624758589,236168.84752944345,230889.32845726606,57773.6233333333,286.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,253,36
+2020-09-11,浙江秀舟热电有限公司,13.3916666666667,48.6041666666667,18.9609,3193.19,40509.33653426473,591575.7179996767,409972.52632197697,57690.89625,288.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,254,36
+2020-09-12,浙江秀舟热电有限公司,12.775,50.2125,19.8828,4210.41,41583.864165680934,365203.2058736236,695554.7822539975,58048.4970833333,326.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,255,36
+2020-09-13,浙江秀舟热电有限公司,12.4625,51.5458333333333,21.3593,5183.17,101638.05722092894,2304162.9062152947,1100676.824414778,142747.5525,361.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,256,36
+2020-09-14,浙江秀舟热电有限公司,12.2083333333333,52.5916666666667,42.039,8242.09,156850.71131268053,3632299.3221085058,1393344.274434272,220130.97875,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,257,36
+2020-09-15,浙江秀舟热电有限公司,12.1916666666667,52.9208333333333,43.7578,8781.20999999999,163147.0458462794,3648514.6995537663,1079440.3268535784,227963.733333333,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,258,36
+2020-09-16,浙江秀舟热电有限公司,12.2,52.8,45.3203,8968.73,164761.02936586816,3090986.7455440224,1509565.074377273,231494.65,573.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,259,37
+2020-09-17,浙江秀舟热电有限公司,12.4041666666667,51.3375,37.7656,7808.45,118830.50107143639,2151393.7060896107,614548.7853918311,167782.424166667,517.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,260,37
+2020-09-18,浙江秀舟热电有限公司,12.4666666666667,49.85,45.3593,8980.45,99806.69323082617,1280997.871671646,158099.07373638795,143196.423333333,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,261,37
+2020-09-19,浙江秀舟热电有限公司,12.9833333333333,49.2875,31.0,6993.91,91378.38445922373,1002269.0431200017,187709.90323310657,130544.090833333,502.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,262,37
+2020-09-20,浙江秀舟热电有限公司,13.6625,47.3458333333333,26.914,6133.7,115165.33846232478,1101442.4812730923,182014.52464431158,165973.476666667,435.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,263,37
+2020-09-21,浙江秀舟热电有限公司,14.1791666666667,47.5,26.3203,6299.5,152307.2379635607,956189.7312506995,173745.7695798863,145929.563333333,428.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,264,37
+2020-09-22,浙江秀舟热电有限公司,14.2291666666667,48.9,27.9609,6674.54,103960.04422035262,891339.3253307864,268654.25822981517,102314.039583333,455.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,265,37
+2020-09-23,浙江秀舟热电有限公司,13.8208333333333,50.4625,28.2031,6586.64,154218.34399029025,1552985.4947977276,711664.7930710288,147414.09,456.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,266,38
+2020-09-24,浙江秀舟热电有限公司,13.7,50.85,43.0781,8790.0,213710.04065365568,2341013.5826817243,1454379.1348778289,206407.820416667,564.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,267,38
+2020-09-25,浙江秀舟热电有限公司,13.75,50.8833333333333,43.6796,9000.95999999999,225397.20893189695,2285198.832717443,1796274.5910715123,219815.824166667,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,268,38
+2020-09-26,浙江秀舟热电有限公司,13.7708333333333,50.7833333333333,44.0,9299.82,223243.48674375625,1955764.8101928239,1537874.2642929628,215131.192916667,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,269,38
+2020-09-27,浙江秀舟热电有限公司,13.6916666666667,51.1791666666667,43.0,9150.39,244327.28967552385,2257520.4616533327,1270224.2616653675,231639.66,589.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,270,38
+2020-09-28,浙江秀舟热电有限公司,14.0333333333333,50.4291666666667,45.2812,9211.92,208098.5309644803,1464954.0186975524,1099705.9522718699,200932.32375,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,271,38
+2020-09-29,浙江秀舟热电有限公司,13.675,51.0791666666667,44.1171,8423.75,191952.89859900955,1520671.0682696283,1609171.4573079094,190993.39875,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,272,38
+2020-09-30,浙江秀舟热电有限公司,13.8833333333333,50.2666666666667,37.9218,7916.86,146934.18940901995,1411325.99889377,683238.6064216789,152020.692083333,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,273,39
+2020-10-01,浙江秀舟热电有限公司,13.9833333333333,50.3291666666667,44.8431,8831.02,140235.70134068537,984080.8641209307,743163.1207920611,143284.0825,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,274,39
+2020-10-02,浙江秀舟热电有限公司,13.9166666666667,50.8125,43.6406,7843.61,131460.93021507814,752694.0412947718,637355.3270349706,131759.497916667,515.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,275,39
+2020-10-03,浙江秀舟热电有限公司,13.6375,51.7291666666667,43.9531,8277.25,126979.43217213411,714754.6700982398,903202.9951506692,124286.81875,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,276,39
+2020-10-04,浙江秀舟热电有限公司,13.7125,51.5041666666667,45.4843,8429.61,190214.89625190894,1196821.7873950123,1582875.434305749,179022.212916667,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,277,39
+2020-10-05,浙江秀舟热电有限公司,13.6541666666667,50.2916666666667,45.7187,9211.92,200477.40755410114,1734422.8615373862,1348334.3977500831,184370.335416667,591.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,278,39
+2020-10-06,浙江秀舟热电有限公司,13.5666666666667,50.1166666666667,45.7187,9024.4,192294.7701781212,1166243.0277384787,1534710.2931560066,184173.825416667,579.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,279,39
+2020-10-07,浙江秀舟热电有限公司,13.575,50.425,45.5234,8754.84,170293.23166308805,1655997.055427706,1462783.4492950325,182206.022083333,571.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,280,40
+2020-10-08,浙江秀舟热电有限公司,13.6208333333333,50.5083333333333,46.2343,8839.81,168521.28707453277,1544667.8096980772,1325843.9924376805,184257.688333333,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,281,40
+2020-10-09,浙江秀舟热电有限公司,14.0916666666667,50.3333333333333,45.3671,8634.70999999999,119265.65187633169,1326860.4479828863,345352.2464145917,130888.165833333,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,282,40
+2020-10-10,浙江秀舟热电有限公司,13.6625,50.9208333333333,37.1171,7412.9,107327.87568234063,972690.4586684755,354086.7160681774,117409.01125,497.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,283,40
+2020-10-11,浙江秀舟热电有限公司,13.2833333333333,51.5166666666667,37.4375,8286.04,60106.582533316534,360805.77135344915,270176.2797684477,63804.7020833333,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,284,40
+2020-10-12,浙江秀舟热电有限公司,13.4708333333333,51.1375,36.6796,7864.12,60803.69702293299,422856.9375674789,352977.89320078894,64109.79875,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,285,40
+2020-10-13,浙江秀舟热电有限公司,13.3041666666667,51.0916666666667,36.125,7075.95,59112.77166650476,350860.1258089097,405600.1416624439,62597.36375,488.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,286,40
+2020-10-14,浙江秀舟热电有限公司,12.9833333333333,51.55,35.6406,7858.26,89625.22583970473,699565.5038493118,716024.3221184084,95721.8245833333,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,287,41
+2020-10-15,浙江秀舟热电有限公司,13.2083333333333,51.4,42.7968,8901.34,162646.53121150896,1406655.454070836,1123999.3653566653,172526.960416667,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,288,41
+2020-10-16,浙江秀舟热电有限公司,13.9125,50.1666666666667,46.3593,9203.12999999999,232200.589110023,2044609.7375506156,1066051.3553255904,246105.590833333,596.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,289,41
+2020-10-17,浙江秀舟热电有限公司,13.6333333333333,50.7208333333333,44.9609,9176.76,212756.8203341864,2066283.534339941,765974.7316984338,236894.219166667,601.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,290,41
+2020-10-18,浙江秀舟热电有限公司,12.6958333333333,51.4125,45.2421,9411.16,198507.49706728276,1916096.028418004,959801.4434780739,228321.477916667,602.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,291,41
+2020-10-19,浙江秀舟热电有限公司,12.8958333333333,50.15,37.1953,9314.46999999999,134162.75092130274,1200978.5184253003,702903.5728930335,160882.847083333,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,292,41
+2020-10-20,浙江秀舟热电有限公司,12.8666666666667,51.525,40.164,8576.1,241695.717094712,3689729.393669977,1333736.2264771326,281399.124583333,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,293,41
+2020-10-21,浙江秀舟热电有限公司,12.8541666666667,52.225,45.9609,9499.06,162011.3453305264,2005680.6977107844,1476213.1323511172,187418.16125,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,294,42
+2020-10-22,浙江秀舟热电有限公司,13.7416666666667,51.7166666666667,47.3939,9408.23,246049.98421240156,2672685.164330203,1701364.8162064352,248439.849583333,635.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,295,42
+2020-10-24,浙江秀舟热电有限公司,14.0166666666667,50.45,46.2031,9545.94,126566.68012403864,2243272.092860653,602468.0332458959,150510.575416667,632.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,297,42
+2020-10-25,浙江秀舟热电有限公司,12.7625,52.7375,46.7968,9777.41,97394.04222267243,1921687.939439243,581359.8098741529,118936.930833333,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,298,42
+2020-10-26,浙江秀舟热电有限公司,13.4208333333333,51.1666666666667,44.9218,9173.83,58420.366069206735,707557.6638749813,512486.216981071,72394.2820833333,609.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,299,42
+2020-10-27,浙江秀舟热电有限公司,12.7916666666667,52.1916666666667,39.2421,8171.77,50422.67856958137,844964.3717349534,428527.22709806747,62165.1441666667,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,300,42
+2020-10-28,浙江秀舟热电有限公司,13.0125,51.5625,45.1195,8898.41,85859.14138334889,1575377.7210844047,734114.2430573691,105557.8,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,301,43
+2020-10-29,浙江秀舟热电有限公司,13.4208333333333,51.3833333333333,47.559,9279.31,66177.11247157343,1025984.9069127282,550537.2548167068,85033.1091666667,632.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,302,43
+2020-10-30,浙江秀舟热电有限公司,13.4541666666667,51.2291666666667,46.5194,9112.29999999999,103847.79786610299,1626586.2052131817,2149687.420511909,134777.26625,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,303,43
+2020-10-31,浙江秀舟热电有限公司,13.6333333333333,50.9083333333333,45.7187,9056.1,105049.83512784212,1528353.1864078268,1038357.6788434339,143974.10625,616.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,304,43
+2020-11-01,浙江秀舟热电有限公司,13.6708333333333,50.7,43.7656,8420.82,83481.00826558887,975813.8907258864,704568.2347088875,116079.835833333,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,305,43
+2020-11-02,浙江秀舟热电有限公司,13.35,51.6375,46.3593,8748.98,86134.59884825912,1309320.5970338453,818730.7875918959,111673.82,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,306,43
+2020-11-03,浙江秀舟热电有限公司,13.1708333333333,51.2375,46.6015,9317.4,91255.36150825373,1561806.4419462434,776176.1426900084,119531.015416667,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,307,43
+2020-11-04,浙江秀舟热电有限公司,12.9,50.9166666666667,45.914,8258.79999999999,73758.38881298956,1392800.668519932,735261.0706527416,101286.707083333,625.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,308,44
+2020-11-05,浙江秀舟热电有限公司,13.4625,50.7166666666667,41.9609,9223.64,62612.09006110217,626402.1658593434,441195.1143016495,69278.85875,618.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,309,44
+2020-11-06,浙江秀舟热电有限公司,12.9416666666667,51.85,39.0781,7972.53,105574.42594158895,1786410.9991139781,626225.5389975131,149822.85875,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,310,44
+2020-11-07,浙江秀舟热电有限公司,13.1333333333333,51.2833333333333,46.2421,9387.71999999999,82539.63720816965,1617452.295201215,708289.5732235281,119616.73,629.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,311,44
+2020-11-09,浙江秀舟热电有限公司,12.7625,51.1791666666667,47.4037,9466.83,93885.5924652716,1895877.2199962041,1148771.3688723214,143413.349166667,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,313,44
+2020-11-10,浙江秀舟热电有限公司,12.8958333333333,51.3166666666667,39.5546,9513.70999999999,85291.80915312239,1737773.3322215034,1097020.9799223386,134170.639583333,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,314,44
+2020-11-11,浙江秀舟热电有限公司,13.0083333333333,51.2625,46.2796,9068.35,66589.09803043697,1356866.5883550316,636734.9474601356,105787.860416667,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,315,45
+2020-11-12,浙江秀舟热电有限公司,12.8583333333333,51.675,45.3261,9024.4,72186.90079263724,1718858.7142488789,1024810.4287047809,119302.295,624.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,316,45
+2020-11-13,浙江秀舟热电有限公司,12.0833333333333,52.8708333333333,46.6332,8816.37,78981.37479124311,1719953.4542492093,855840.0329471921,127381.20375,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,317,45
+2020-11-14,浙江秀舟热电有限公司,10.9333333333333,54.4166666666667,48.684,9188.48,55133.00949313663,1301042.4054014536,375272.82310525456,86502.5954166667,625.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,318,45
+2020-11-15,浙江秀舟热电有限公司,11.0833333333333,54.8,48.3183,9460.96999999999,67901.90881498074,1521527.8849995753,454344.7271352549,104599.2775,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,319,45
+2020-11-16,浙江秀舟热电有限公司,11.3083333333333,55.375,46.2763,9235.36,47376.57865563416,1044512.6579916385,346087.4726501308,69206.4941666667,636.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,320,45
+2020-11-17,浙江秀舟热电有限公司,11.9375,54.5833333333333,46.2455,8895.48,35709.97762067625,536942.4236832769,239896.865950714,52117.9495833333,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,321,45
+2020-11-18,浙江秀舟热电有限公司,11.6958333333333,55.8083333333333,34.6016,7254.68,59078.62325416197,928069.5608779199,439322.5152311009,86020.8383333333,500.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,322,46
+2020-11-19,浙江秀舟热电有限公司,11.6875,55.1375,45.2387,8382.37,51113.52710368312,828334.7855500818,345989.6510830981,59780.2391666667,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,323,46
+2020-11-20,浙江秀舟热电有限公司,11.0416666666667,55.0458333333333,46.5175,9071.28,31692.20564213104,774072.0157551159,195479.2118392345,50455.5208333333,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,324,46
+2020-11-21,浙江秀舟热电有限公司,10.8875,54.9791666666667,47.3212,9443.39,29092.3294186209,688359.1180415486,132939.99457816174,51190.3645833333,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,325,46
+2020-11-22,浙江秀舟热电有限公司,11.7958333333333,54.6125,46.0405,8892.54999999999,30908.509361549095,672281.0098841384,127244.68159847676,50002.5595833333,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,326,46
+2020-11-23,浙江秀舟热电有限公司,11.825,54.2083333333333,47.6771,9009.75,29271.00664727332,719847.3173691907,113714.57777196352,49472.7483333333,611.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,327,46
+2020-11-24,浙江秀舟热电有限公司,12.4541666666667,53.4,44.8046,9085.93,29924.750086891065,586681.21558101,133468.59519997286,50097.8495833333,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,328,46
+2020-11-25,浙江秀舟热电有限公司,12.1125,54.375,38.2734,7237.1,46771.82315241287,970868.3508244468,220144.0698752666,77491.175,515.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,329,47
+2020-11-26,浙江秀舟热电有限公司,11.9166666666667,54.5291666666667,48.0043,9050.77,28971.692164923625,701840.9631045485,172367.80510710768,49305.9333333333,624.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,330,47
+2020-11-27,浙江秀舟热电有限公司,12.1416666666667,54.1708333333333,49.8812,9452.16,30860.876142851597,566056.6253276145,129947.81478985482,49522.825,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,331,47
+2020-11-28,浙江秀舟热电有限公司,11.7375,54.325,47.3143,9041.98,30591.108627740414,568479.601248511,99438.32776348249,49334.2875,640.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,332,47
+2020-11-29,浙江秀舟热电有限公司,11.4333333333333,53.875,51.0443,9812.57,60228.64348263405,1181949.1096786084,305210.3307428838,101155.05,686.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,333,47
+2020-11-30,浙江秀舟热电有限公司,11.275,53.6958333333333,49.119,9431.67,55734.64991128828,1143757.3089513215,181894.22963726748,97209.1954166667,655.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,334,47
+2020-12-01,浙江秀舟热电有限公司,13.475,48.6833333333333,46.5565,9109.37,28994.770542989037,418473.8950667712,123338.25852580958,54084.9491666667,634.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,335,47
+2020-12-02,浙江秀舟热电有限公司,11.2708333333333,54.2625,39.1225,7562.33,32489.610449531516,738906.5690807733,103255.2125677373,58550.995,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,336,48
+2020-12-03,浙江秀舟热电有限公司,11.65,52.3083333333333,48.7167,9340.84,52588.5639822265,796308.1349032179,183131.31614799576,75526.66,653.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,337,48
+2020-12-04,浙江秀舟热电有限公司,11.2875,50.1583333333333,50.2451,9616.26,51933.859781006635,1754646.0861416624,339712.0307629426,93180.9591666667,671.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,338,48
+2020-12-05,浙江秀舟热电有限公司,11.1333333333333,49.9083333333333,51.8397,9888.75,36643.390291171345,753189.1137902031,495195.3789944654,68567.0370833333,681.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,339,48
+2020-12-06,浙江秀舟热电有限公司,11.1125,50.5208333333333,48.4813,8995.1,29423.42657943828,647163.1236590482,399788.2366702696,58247.4466666667,647.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,340,48
+2020-12-07,浙江秀舟热电有限公司,11.5166666666667,50.3083333333333,45.9535,9258.79999999999,35784.773897841114,704295.4714150836,366770.69558670395,65737.3033333333,632.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,341,48
+2020-12-08,浙江秀舟热电有限公司,11.3791666666667,51.7291666666667,47.5466,8705.03,42145.748807405675,795635.8167353885,297570.4001247131,55313.9408333333,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,342,48
+2020-12-09,浙江秀舟热电有限公司,11.0583333333333,54.9666666666667,44.5238,8453.04999999999,130440.0349389529,2213073.732275633,238346.7265850389,110162.724166667,612.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,343,49
+2020-12-10,浙江秀舟热电有限公司,12.3458333333333,53.0791666666667,51.3568,9818.43,279254.6537134043,3207588.080423213,605613.4463214928,223627.432916667,667.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,344,49
+2020-12-11,浙江秀舟热电有限公司,12.6583333333333,50.45,54.2367,9765.69,469810.8054772483,4909930.503245465,727405.162673565,384523.243333333,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,345,49
+2020-12-12,浙江秀舟热电有限公司,12.9041666666667,48.9083333333333,41.9257,7911.0,411427.5152021395,3218579.7946311445,311412.6548046754,340650.21875,539.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,346,49
+2020-12-13,浙江秀舟热电有限公司,12.575,49.15,41.3593,7571.12,289551.4710050812,3115491.491103487,541365.1910497838,241768.047083333,524.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,347,49
+2020-12-14,浙江秀舟热电有限公司,12.6083333333333,49.8166666666667,46.039,8250.87999999999,346120.0506682931,2658892.168995438,1549196.2625001413,290978.472083333,543.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,348,49
+2020-12-15,浙江秀舟热电有限公司,12.2666666666667,49.8791666666667,52.4775,9803.78,368424.20184777916,3418390.5903346376,1577751.299234422,314754.109583333,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,349,49
+2020-12-16,浙江秀舟热电有限公司,12.2208333333333,49.8166666666667,49.6435,9326.19,306869.7331636971,2692478.452656658,1221694.3054227221,267866.819166667,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,350,50
+2020-12-17,浙江秀舟热电有限公司,12.1291666666667,49.9125,46.8359,9112.29999999999,307903.6315002789,2469625.7792894435,1218019.035283668,276364.575,626.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,351,50
+2020-12-18,浙江秀舟热电有限公司,13.1375,50.1166666666667,44.9593,8669.87,338155.0471297113,2435509.0900115888,1106185.5423751632,241007.447083333,604.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,352,50
+2020-12-19,浙江秀舟热电有限公司,12.925,48.5333333333333,49.0419,9352.56,224940.69413188336,2462065.5163974157,1165577.7279288934,186082.199583333,650.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,353,50
+2020-12-20,浙江秀舟热电有限公司,12.4541666666667,49.8166666666667,49.7211,9337.91,149458.05592896702,1429933.422098244,356185.5001825075,125014.862083333,656.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,354,50
+2020-12-24,浙江秀舟热电有限公司,20.0916666666667,6.92083333333333,29.9199,6756.58,57.649341115676094,174.8072145980086,471.62565658352634,44.12625,498.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,358,51
+2020-12-25,浙江秀舟热电有限公司,19.7541666666667,8.98333333333333,30.56,6689.19,100985.03458475665,215116.0500030319,1006925.5223606807,77599.2604166667,484.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,359,51
+2020-12-26,浙江秀舟热电有限公司,15.3208333333333,33.8,29.8798,6680.4,260096.80082974752,1231891.213906108,2824217.7623430197,207810.992916667,472.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,360,51
+2020-12-27,浙江秀舟热电有限公司,13.0666666666667,46.3083333333333,30.1601,6290.71,380514.9331382806,4260130.875603445,1470894.1873340395,321975.123333333,479.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,361,51
+2020-12-28,浙江秀舟热电有限公司,13.5291666666667,45.9,28.5175,6296.57,145250.43332182957,935081.5556062027,314413.7840675858,120664.462083333,455.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,362,51
+2020-12-29,浙江秀舟热电有限公司,14.7458333333333,44.6833333333333,22.7968,3518.93,59230.217837541815,359264.17686126824,31685.758810652485,44619.92375,330.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,363,51
+2020-12-30,浙江秀舟热电有限公司,15.5125,41.3541666666667,23.164,3750.4,61806.07107530775,254039.38896426783,77924.78334887959,48615.20875,323.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,364,52
+2020-12-31,浙江秀舟热电有限公司,14.7583333333333,43.7583333333333,23.6406,3788.49,147809.96812802908,751090.945360818,196519.16087699472,111025.525,333.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,365,52
+2021-01-05,浙江秀舟热电有限公司,16.0416666666667,38.6083333333333,47.9667,9528.36,30780.98581040812,110090.36017266182,81375.41329310786,23326.4075,647.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,4,0
+2021-01-06,浙江秀舟热电有限公司,19.3458333333333,22.025,48.7938,9586.95999999999,13249.522048221159,19015.270368808222,5379.961748269469,10450.3408333333,654.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,5,0
+2021-01-07,浙江秀舟热电有限公司,16.325,31.3208333333333,49.1264,9669.0,66758.49076536046,412663.1118610912,123659.4601170488,55849.4608333333,692.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,6,0
+2021-01-08,浙江秀舟热电有限公司,11.8,51.0583333333333,51.9975,10111.43,127462.41351152363,1915654.8237834964,293774.937273675,109723.377083333,717.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,7,1
+2021-01-09,浙江秀舟热电有限公司,11.2583333333333,52.4041666666667,52.7578,9481.48,196793.2316716056,3325708.222991947,889556.5380911955,173318.527916667,719.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,8,1
+2021-01-10,浙江秀舟热电有限公司,11.2666666666667,52.55,51.6796,9994.23,191279.36830832248,2672890.002138072,1049743.8904733725,161255.696666667,720.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,9,1
+2021-01-11,浙江秀舟热电有限公司,10.1583333333333,53.4625,49.8793,9824.29,139111.97413465852,1669996.7396273385,655062.5554985728,117327.5625,702.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,10,1
+2021-01-12,浙江秀舟热电有限公司,9.49583333333333,54.4708333333333,51.9593,9783.27,161660.8182501006,1861595.6096056974,888291.8052113885,130523.535,734.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,11,1
+2021-01-13,浙江秀舟热电有限公司,9.32916666666667,54.8791666666667,43.2856,8259.67,201844.51308395326,2057595.8603681456,1181853.4831481792,161802.974583333,675.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,12,1
+2021-01-14,浙江秀舟热电有限公司,9.5375,55.35,50.9199,9809.64,205429.87472979308,2601028.322250853,929325.6237776371,151107.4275,693.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,13,1
+2021-01-15,浙江秀舟热电有限公司,9.7875,54.55,50.2782,9686.58,184895.48372202457,1980551.8815305762,900811.6023385159,144317.389166667,676.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,14,2
+2021-01-16,浙江秀舟热电有限公司,10.0291666666667,53.9833333333333,44.6366,8204.0,79506.58904203498,873831.6568544449,461344.14001617907,71851.40375,623.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,15,2
+2021-01-17,浙江秀舟热电有限公司,9.80416666666667,53.8041666666667,45.8846,8713.82,137000.07372128233,1361083.492176102,497361.9486420232,129637.71125,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,16,2
+2021-01-18,浙江秀舟热电有限公司,9.20416666666667,54.6708333333333,47.9579,9279.31,147709.66081947598,2024041.7504632354,659885.7492703903,146644.8875,665.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,17,2
+2021-01-19,浙江秀舟热电有限公司,9.3,55.4458333333333,50.601,9645.56,110689.88678548601,1568446.3090547351,185763.0984955717,112608.37125,680.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,18,2
+2021-01-20,浙江秀舟热电有限公司,9.3,55.9291666666667,49.8363,9736.39,145466.92074225494,1740493.458142635,226594.70879779186,150065.153333333,683.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,19,2
+2021-01-21,浙江秀舟热电有限公司,9.54166666666667,55.5875,49.0448,9370.14,149170.91448344817,1669960.8995981128,275469.2579600022,130482.694166667,662.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,20,2
+2021-01-22,浙江秀舟热电有限公司,9.375,55.7958333333333,42.4393,8631.78,65898.31667350039,901767.7991760621,266833.0374928035,49579.275,612.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,21,3
+2021-01-23,浙江秀舟热电有限公司,9.90833333333333,55.2666666666667,48.6737,9250.01,65703.17670748792,568435.5153886249,372615.66340801684,49327.10375,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,22,3
+2021-01-24,浙江秀舟热电有限公司,10.0375,54.4833333333333,39.8007,7934.44,83788.65455623729,759504.4856028032,531866.9626012468,64769.30875,588.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,23,3
+2021-01-25,浙江秀舟热电有限公司,9.39583333333333,55.4041666666667,46.5263,9109.37,123713.88661222545,1350381.9572292552,1091473.4792211198,100766.450833333,635.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,24,3
+2021-01-26,浙江秀舟热电有限公司,10.0791666666667,54.8833333333333,47.516,9241.21999999999,72396.64981729846,704890.8951434738,577675.4709629061,55805.74,655.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,25,3
+2021-01-27,浙江秀舟热电有限公司,9.7875,54.55,47.642,9185.54999999999,104682.34567870469,1005410.4324492426,533470.4912010839,85043.2604166667,660.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,26,3
+2021-01-28,浙江秀舟热电有限公司,10.3958333333333,53.5375,41.9579,8423.75,132560.90862452943,1425092.5266919907,619849.5090812411,99621.6779166667,607.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,27,3
+2021-01-29,浙江秀舟热电有限公司,10.7041666666667,52.525,46.9188,9285.17,155721.02233344095,1200600.8840766025,810922.940907367,122902.902916667,646.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,28,4
+2021-01-30,浙江秀舟热电有限公司,10.55,52.7625,49.5209,9625.04999999999,172176.51657686444,1498596.976519045,1063205.792564165,138601.04625,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,29,4
+2021-01-31,浙江秀舟热电有限公司,10.0666666666667,53.7666666666667,50.3217,9856.52,182625.12702152392,1569490.874618946,818435.0653149305,152104.444583333,676.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,30,4
+2021-02-01,浙江秀舟热电有限公司,10.425,53.3291666666667,47.1971,9493.2,78731.7179955762,829689.2441002938,350412.2484423075,66749.9533333333,654.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,31,4
+2021-02-02,浙江秀舟热电有限公司,10.2833333333333,53.4208333333333,48.3608,9414.09,128028.09057030635,1275180.1849632147,639277.2539570974,112068.482916667,647.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,32,4
+2021-02-03,浙江秀舟热电有限公司,10.3208333333333,53.4958333333333,48.9984,9803.78,197818.28889585796,1899869.7927371277,819647.4658085944,176222.985,677.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,33,4
+2021-02-04,浙江秀舟热电有限公司,11.4208333333333,51.0833333333333,47.6386,9484.41,137616.17613108453,1252276.9479802768,638635.8726485238,122566.1525,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,34,4
+2021-02-05,浙江秀舟热电有限公司,12.2416666666667,50.0458333333333,30.0409,6815.18,134069.21523167097,1243721.6557432585,391482.1084764808,117511.649166667,493.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,35,5
+2021-02-06,浙江秀舟热电有限公司,12.3291666666667,49.9291666666667,27.5625,6366.89,156369.29619518746,1545161.945263969,445384.2496916146,139078.17,446.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,36,5
+2021-02-07,浙江秀舟热电有限公司,10.0708333333333,53.5,21.6796,5490.82,121222.20935931831,1089118.454359901,536781.1207497657,109250.52875,399.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,37,5
+2021-02-08,浙江秀舟热电有限公司,10.5875,53.2291666666667,25.4375,5531.84,62913.2362264623,243176.17483938337,231814.09290088742,53275.00375,405.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,38,5
+2021-02-09,浙江秀舟热电有限公司,10.7583333333333,52.7958333333333,28.9218,5816.05,101580.14390079316,322636.26242315763,300061.1755312334,88341.1054166667,426.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,39,5
+2021-02-10,浙江秀舟热电有限公司,14.0208333333333,44.7208333333333,27.3984,5148.01,125611.83579331594,454054.3165682234,397950.1704719416,103165.624583333,404.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,40,5
+2021-02-11,浙江秀舟热电有限公司,19.2875,15.925,18.9609,2059.79,70947.51359024033,72271.4518240866,1008425.5810195705,65629.6516666667,288.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,41,5
+2021-02-13,浙江秀舟热电有限公司,19.9333333333333,17.0791666666667,16.8218,2036.35,72939.44250505665,41192.009651841785,540559.78411899,72206.8479166667,272.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,43,6
+2021-02-14,浙江秀舟热电有限公司,20.1625,18.45,18.8046,2168.19999999999,70651.49306069185,129081.73995742931,457151.8514286296,70354.7225,290.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,44,6
+2021-02-15,浙江秀舟热电有限公司,20.2625,14.9583333333333,16.914,1875.2,11263.413395906313,8437.649621983031,36750.44103048377,10857.0420833333,275.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,45,6
+2021-02-18,浙江秀舟热电有限公司,20.45,10.1791666666667,18.7578,2018.77,76001.27186741141,97668.86816853385,113894.17007266993,76274.3470833333,288.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,48,6
+2021-02-23,浙江秀舟热电有限公司,10.8166666666667,52.0708333333333,24.7187,4682.14,102949.93464788001,1371925.3052490742,210904.9147348868,109511.595416667,441.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,53,7
+2021-02-24,浙江秀舟热电有限公司,10.3166666666667,52.9166666666667,27.5625,7383.6,118333.13958350908,1347509.3240874347,399478.3199036332,124848.790833333,480.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,54,7
+2021-02-25,浙江秀舟热电有限公司,10.3458333333333,53.8,43.5625,9376.0,170579.26849418448,2257393.748240632,553259.632823643,164679.92875,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,55,7
+2021-02-26,浙江秀舟热电有限公司,10.4125,53.6041666666667,43.6406,9674.86,90205.07837978512,955740.3571294964,226842.36986425874,76000.1229166667,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,56,8
+2021-02-27,浙江秀舟热电有限公司,10.0,54.7875,42.2787,8889.62,163744.574382157,1608954.479498982,478499.654138421,139404.157083333,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,57,8
+2021-02-28,浙江秀舟热电有限公司,9.88333333333333,55.1916666666667,44.7153,8696.24,165953.31488938368,1897192.061994663,500744.7689891941,145341.451666667,630.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,58,8
+2021-03-01,浙江秀舟热电有限公司,10.9375,53.8166666666667,43.4017,8441.33,71240.62873927572,873414.8036515833,236216.68031345127,61032.76375,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,59,8
+2021-03-02,浙江秀舟热电有限公司,10.3666666666667,53.6666666666667,40.8437,7046.65,142819.03976135515,1606010.9851616768,849798.4012998337,119646.3175,533.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,60,8
+2021-03-03,浙江秀舟热电有限公司,9.69166666666667,54.8458333333333,45.2767,8599.54999999999,130063.15463542723,1593348.486223667,974563.4199587697,116054.0775,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,61,8
+2021-03-04,浙江秀舟热电有限公司,10.5625,53.5208333333333,46.9564,9200.2,188965.50490169087,1917730.2067758022,832655.5424157232,141371.282916667,673.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,62,8
+2021-03-05,浙江秀舟热电有限公司,10.1458333333333,53.35,29.3671,6522.18,100768.0971872791,1047167.8939603436,710579.4677172056,91148.4991666667,481.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,63,9
+2021-03-06,浙江秀舟热电有限公司,10.025,54.2416666666667,43.4384,8839.81,105765.63664111694,1428041.7500596556,1068559.3672254013,93472.8754166667,640.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,64,9
+2021-03-07,浙江秀舟热电有限公司,10.2,54.7333333333333,46.3959,9047.84,116276.89947510786,1395633.8018017074,718027.4111676859,95901.8083333333,653.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,65,9
+2021-03-08,浙江秀舟热电有限公司,9.94166666666667,54.1041666666667,48.7992,9463.9,162484.44046803867,1928504.6538396792,1247559.1588302702,140207.0375,679.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,66,9
+2021-03-09,浙江秀舟热电有限公司,9.88333333333333,53.7125,49.4833,10354.62,324088.26321810053,4057225.8644684176,910630.8756166026,291719.855416667,752.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,67,9
+2021-03-10,浙江秀舟热电有限公司,10.2916666666667,53.7833333333333,53.8407,11183.81,196905.97666432714,2196276.0604762686,385623.4069103112,181507.440416667,796.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,68,9
+2021-03-11,浙江秀舟热电有限公司,9.92916666666667,53.9958333333333,50.9218,11195.53,113263.1526879578,1395766.8177748574,175895.30507611364,104372.645,818.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,69,9
+2021-03-12,浙江秀舟热电有限公司,10.2166666666667,53.7541666666667,52.0732,11377.19,120718.25258817324,1723887.328039924,164419.12538890884,112464.282083333,760.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,70,10
+2021-03-13,浙江秀舟热电有限公司,10.25,53.6041666666667,50.8861,11394.77,101889.89884693906,1088384.3340222037,232063.5011086568,97976.3995833333,716.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,71,10
+2021-03-14,浙江秀舟热电有限公司,10.5166666666667,53.3,49.4379,10864.44,87673.62036295571,1021141.2251401338,389477.2358580168,85639.5995833333,677.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,72,10
+2021-03-15,浙江秀舟热电有限公司,10.5,53.25,47.9569,9768.62,102431.08385845891,1238034.8630577468,546862.8900871275,100589.971666667,666.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,73,10
+2021-03-16,浙江秀舟热电有限公司,10.0375,53.3833333333333,48.1606,10108.5,153494.8869240001,1811973.46575202,928558.6234187651,143539.12125,685.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,74,10
+2021-03-17,浙江秀舟热电有限公司,10.6541666666667,52.8083333333333,53.7186,11078.33,129180.82131250367,1308157.6608224,712433.8126367596,112830.75875,740.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,75,10
+2021-03-18,浙江秀舟热电有限公司,9.9125,53.4583333333333,50.6835,10383.92,162768.7186411637,1459479.5619945736,878293.6305135483,142276.79875,728.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,76,10
+2021-03-19,浙江秀舟热电有限公司,10.89125,52.6083333333333,49.0799,10682.78,92852.20496847371,1068415.272402138,661033.9095437678,87598.8125,754.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,77,11
+2021-03-20,浙江秀舟热电有限公司,10.1841666666667,53.9416666666667,43.2031,9657.28,98666.1685980578,1002058.6358573477,665525.3028365812,89893.0916666667,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,78,11
+2021-03-21,浙江秀舟热电有限公司,8.56583333333333,44.8166666666667,51.2762,10644.69,84113.73870367689,2335203.642325069,400587.6521404993,89623.2166666667,733.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,79,11
+2021-03-22,浙江秀舟热电有限公司,13.2195833333333,52.6416666666667,53.4364,10788.26,144215.00169126643,1491747.7688170762,693605.4843246642,108711.6375,745.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,80,11
+2021-03-23,浙江秀舟热电有限公司,12.08,53.2208333333333,50.8436,10591.95,133810.33313847164,1174026.3752744533,733567.3620269804,113678.804166667,733.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,81,11
+2021-03-24,浙江秀舟热电有限公司,11.1216666666667,53.8375,50.5214,10723.8,142060.75372692826,1633922.738449152,974258.9230357803,128163.441666667,758.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,82,11
+2021-03-25,浙江秀舟热电有限公司,11.4770833333333,53.4208333333333,52.7578,10744.31,127849.46057634914,1667761.4937163957,849606.638973822,116667.491666667,764.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,83,11
+2021-03-26,浙江秀舟热电有限公司,12.2995833333333,52.5958333333333,38.3612,8587.83,84975.31348198993,701907.5725117073,359709.6884896401,81789.4583333333,627.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,84,12
+2021-03-27,浙江秀舟热电有限公司,11.085,53.5,41.5184,9361.35,105064.86647388697,1292051.886369502,795892.7176031903,100389.1875,652.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,85,12
+2021-03-28,浙江秀舟热电有限公司,10.6645833333333,53.3208333333333,49.8768,9510.78,101508.80446242761,1215019.2371972282,632715.3521391174,97920.6375,694.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,86,12
+2021-03-29,浙江秀舟热电有限公司,10.5370833333333,53.3541666666667,50.2,10278.44,137888.94970123054,1912852.5677519029,955237.5860336992,135780.704166667,692.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,87,12
+2021-03-31,浙江秀舟热电有限公司,11.305,51.4208333333333,49.4433,9821.36,263956.5752016022,3040020.4191883234,1870295.048260674,256611.3125,678.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,89,12
+2021-04-01,浙江秀舟热电有限公司,11.7558333333333,51.4625,48.1572,10190.54,351351.68012222723,3692571.0228230255,2308560.71875181,319719.6875,705.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,90,12
+2021-04-02,浙江秀舟热电有限公司,11.4825,52.4083333333333,47.5966,9765.69,376197.25824899244,4598625.790898543,1718402.6181215767,337911.104166667,674.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,91,13
+2021-04-03,浙江秀舟热电有限公司,12.56125,51.3791666666667,49.6396,10366.34,380127.9164419507,3511309.79226187,1366998.4687431667,345816.375,714.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,92,13
+2021-04-04,浙江秀舟热电有限公司,12.1545833333333,51.4583333333333,41.7216,8725.54,287733.98126687756,2595139.1771955015,882568.654078214,261826.091666667,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,93,13
+2021-04-05,浙江秀舟热电有限公司,10.9075,53.0375,43.0409,8713.82,225221.8907806788,2463725.3629309656,428065.9654902014,205940.133333333,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,94,13
+2021-04-06,浙江秀舟热电有限公司,11.3808333333333,52.5083333333333,47.4375,9613.33,240273.77182610368,2033442.339055652,1175873.5714447957,220052.1,664.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,95,13
+2021-04-07,浙江秀舟热电有限公司,11.72,52.4541666666667,45.0829,9329.12,236171.45229509086,1907480.611507953,1540018.9588954633,214877.195833333,651.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,96,13
+2021-04-08,浙江秀舟热电有限公司,11.8416666666667,52.725,44.2392,8473.56,265398.4719506476,2248859.326186173,854070.4720405579,235646.995833333,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,97,13
+2021-04-09,浙江秀舟热电有限公司,11.7129166666667,52.1958333333333,46.8368,9378.93,282725.0560449258,2882738.6555608963,612130.5730567713,250623.429166667,676.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,98,14
+2021-04-10,浙江秀舟热电有限公司,11.75125,52.5708333333333,47.0429,9387.71999999999,229961.43245658313,1884526.7074901194,402794.08137835556,206011.1875,674.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,99,14
+2021-04-11,浙江秀舟热电有限公司,11.7979166666667,53.6583333333333,45.8788,9170.9,243778.3328187507,2191705.1997761168,758932.5455678068,219118.554166667,665.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,100,14
+2021-04-12,浙江秀舟热电有限公司,11.7558333333333,53.775,45.4813,8737.26,268389.1211419644,1926589.4237388237,725676.3179921306,244400.175,645.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,101,14
+2021-04-13,浙江秀舟热电有限公司,11.885,53.45,47.164,9255.87,313249.96162120916,2099377.146634445,1042158.526162868,286794.3125,668.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,102,14
+2021-04-14,浙江秀舟热电有限公司,11.83875,52.55,47.1552,9208.99,319165.4972316003,2421361.3203435894,2259732.639053229,291404.645833333,660.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,103,14
+2021-04-15,浙江秀舟热电有限公司,11.2791666666667,53.3083333333333,47.4413,9250.01,225702.2636933042,1334277.7355244523,1728010.7065730235,203292.916666667,656.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,104,14
+2021-04-16,浙江秀舟热电有限公司,11.5845833333333,53.1625,46.8788,9276.37999999999,266528.05732154654,1760598.5868495777,1600009.1264444827,239957.941666667,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,105,15
+2021-04-17,浙江秀舟热电有限公司,12.1679166666667,52.125,31.6796,6867.92,281738.4178120406,1823792.5792534954,564360.0281564081,251259.9,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,106,15
+2021-04-18,浙江秀舟热电有限公司,11.5333333333333,52.0916666666667,37.3203,7735.2,229384.8714500753,1633632.001160466,498470.97065112385,209138.2375,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,107,15
+2021-04-19,浙江秀舟热电有限公司,11.4341666666667,52.1916666666667,41.1219,9879.79999999999,251367.95927030657,2068145.9982271725,1900567.3587136348,229251.4875,598.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,108,15
+2021-04-20,浙江秀舟热电有限公司,11.5008333333333,52.4541666666667,45.5595,8889.62,69089.3138591437,404571.07827133074,472331.75147933635,63061.3916666667,638.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,109,15
+2021-04-21,浙江秀舟热电有限公司,11.3529166666667,53.2875,43.2372,8347.57,46926.04810773203,330136.7807579232,181688.03241711677,42941.5041666667,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,110,15
+2021-04-22,浙江秀舟热电有限公司,11.29,53.8958333333333,43.7616,8444.26,191343.39408659583,1336547.8870526447,823633.356038424,163378.716666667,626.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,111,15
+2021-04-23,浙江秀舟热电有限公司,11.6775,53.4208333333333,40.9199,8110.24,282986.70052445936,2215743.6282855486,1044938.9508918131,241277.329166667,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,112,16
+2021-04-24,浙江秀舟热电有限公司,12.2358333333333,52.2416666666667,43.7997,8774.32,263016.51539594383,1691374.641779231,1143617.533019535,220803.995833333,628.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,113,16
+2021-04-25,浙江秀舟热电有限公司,11.62875,52.9833333333333,33.5585,6416.7,224525.3363670032,1002085.0558208693,1869719.8364721187,188920.2375,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,114,16
+2021-04-26,浙江秀舟热电有限公司,11.71125,52.6166666666667,38.4813,7295.7,202599.58294018154,994633.6250191979,953165.8741250087,168786.029166667,573.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,115,16
+2021-04-27,浙江秀舟热电有限公司,11.9220833333333,52.35,43.0,8160.05,265229.75115563045,1181546.0948373708,553685.8364520085,213298.2125,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,116,16
+2021-04-28,浙江秀舟热电有限公司,11.6058333333333,52.4125,43.5625,8239.16,301142.02070771885,1263168.692265895,338581.2989578695,231750.829166667,574.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,117,16
+2021-04-29,浙江秀舟热电有限公司,11.4179166666667,52.5,42.7187,7793.8,408186.8500707295,1660179.3122500402,827346.464928308,312524.804166667,562.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,118,16
+2021-04-30,浙江秀舟热电有限公司,12.4275,51.1375,43.039,8051.64,495532.58025287703,2062893.9183455422,2288758.215974616,388249.004166667,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,119,17
+2021-05-01,浙江秀舟热电有限公司,14.5091666666667,48.425,29.3583,5631.46,256017.2381319139,994959.1207867115,170926.9607353017,209928.870833333,451.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,120,17
+2021-05-02,浙江秀舟热电有限公司,13.9841666666667,48.4708333333333,18.8398,2478.78,135140.6744014271,758016.3282334588,151930.87940281694,115194.341666667,285.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,121,17
+2021-05-03,浙江秀舟热电有限公司,13.1475,50.1583333333333,19.7987,3105.8,352102.08788228367,1556393.2870158874,837900.9105836349,288590.675,308.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,122,17
+2021-05-04,浙江秀舟热电有限公司,12.775,51.7833333333333,31.3593,5115.78,182946.11270147332,857655.4531381024,410227.35577906924,144823.7875,405.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,123,17
+2021-05-05,浙江秀舟热电有限公司,12.28,51.0375,41.4062,7363.09,241877.40332238158,1387414.7948336562,476243.0860446886,212986.525,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,124,17
+2021-05-06,浙江秀舟热电有限公司,12.55375,50.5166666666667,35.5155,6718.49,250281.81079324873,1456768.4884632742,429169.1306871424,227085.175,510.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,125,17
+2021-05-07,浙江秀舟热电有限公司,12.2479166666667,51.6125,34.2382,6979.26,422894.56185121875,2186310.6675192863,778017.5593032072,384999.508333333,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,126,18
+2021-05-08,浙江秀舟热电有限公司,12.2108333333333,51.95,43.5234,8171.77,445326.27691592166,2322461.345653805,1683883.7569405376,410609.416458333,570.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,127,18
+2021-05-09,浙江秀舟热电有限公司,12.5754166666667,51.7958333333333,42.2734,7348.44,296011.7837941801,1666778.6682939285,971536.130416297,273791.2375,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,128,18
+2021-05-10,浙江秀舟热电有限公司,12.2289583333333,52.1125,42.3203,7175.57,297251.1198842291,1832241.966054894,209230.4226621545,277800.358333333,520.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,129,18
+2021-05-11,浙江秀舟热电有限公司,11.5959583333333,53.475,41.9218,7559.4,153613.19486646744,992072.8528277775,129179.09713807156,141046.970833333,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,130,18
+2021-05-12,浙江秀舟热电有限公司,9.7695,57.0125,37.6406,7345.51,95448.96935851006,985389.6452891083,375879.12965725065,83405.5416666667,518.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,131,18
+2021-05-13,浙江秀舟热电有限公司,9.82695833333333,56.9083333333333,44.164,8227.44,62725.24671446591,510902.40682294336,281053.5357729959,53990.6458333333,586.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,132,18
+2021-05-14,浙江秀舟热电有限公司,9.65833333333333,57.6,43.7968,8230.37,298083.50579282036,2076585.5469918812,919380.7705720625,256907.479166667,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,133,19
+2021-05-15,浙江秀舟热电有限公司,9.67858333333333,57.9376666666667,43.0781,7837.75,289955.04627494706,1870166.1441119872,430609.51337579434,248556.804166667,567.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,134,19
+2021-05-16,浙江秀舟热电有限公司,10.34425,57.21475,42.0781,7193.15,142653.3736853398,1121973.0130247541,172194.79550145322,119272.0125,554.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,135,19
+2021-05-17,浙江秀舟热电有限公司,10.1788333333333,56.1255833333333,39.7656,6522.18,216903.5591234394,1877728.731858642,358313.38428271253,180480.004166667,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,136,19
+2021-05-18,浙江秀舟热电有限公司,9.36666666666667,56.6855416666667,42.3593,7982.02,128870.09313506659,1092883.6839046027,376822.28954518074,110488.725,576.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,137,19
+2021-05-19,浙江秀舟热电有限公司,9.42133333333333,57.4278333333333,44.1171,8192.28,94663.48849463573,736733.0514443567,345744.7398024162,70979.8416666667,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,138,19
+2021-05-20,浙江秀舟热电有限公司,9.948375,57.349125,43.8828,8602.48,415585.90067000623,2191092.7355904714,529520.4990453203,234955.1375,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,139,19
+2021-05-21,浙江秀舟热电有限公司,9.58425,57.5232083333333,43.8828,8602.48,204286.19078570665,1983993.5408347945,283784.90999602014,191291.966666667,594.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,140,20
+2021-05-22,浙江秀舟热电有限公司,9.290875,56.9924583333333,44.2343,8417.89,139433.46202959714,766408.7547228065,122262.18708400572,130393.145833333,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,141,20
+2021-05-23,浙江秀舟热电有限公司,9.79391666666667,56.36975,44.5234,8291.9,59910.974464242354,404192.38809335907,40444.90940063643,55335.725,595.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,142,20
+2021-05-24,浙江秀舟热电有限公司,9.68345833333333,56.1520833333333,43.5156,7591.63,300572.81068325014,1978619.0141220144,189250.95404521955,273452.329166667,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,143,20
+2021-05-25,浙江秀舟热电有限公司,9.48066666666667,56.434625,42.6406,7998.9,248096.17237250574,1448359.52802169,163692.17936333758,231178.9,575.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,144,20
+2021-05-26,浙江秀舟热电有限公司,9.42575,57.01625,38.3984,7436.34,105677.43007531411,958613.5352716869,126674.88166573568,99650.6583333333,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,145,20
+2021-05-27,浙江秀舟热电有限公司,9.5695,57.4672916666667,45.4872,8455.98,284924.3573247696,2737153.5877241935,451311.5135389554,265306.658333333,614.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,146,20
+2021-05-28,浙江秀舟热电有限公司,10.0629166666667,57.9934583333333,46.1141,8432.54,319227.2310742799,3261609.644064773,659446.7037246764,293998.504166667,607.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,147,21
+2021-05-29,浙江秀舟热电有限公司,9.92041666666667,57.6975833333333,45.3652,8429.61,257343.80221495213,3033922.9730531787,239703.2496569357,239146.745833333,593.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,148,21
+2021-05-30,浙江秀舟热电有限公司,10.0309166666667,57.8562916666667,45.2763,8177.63,248310.71320683928,2593880.1406719815,280323.94682160317,235395.9,585.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,149,21
+2021-05-31,浙江秀舟热电有限公司,10.2604166666667,57.4545,41.9609,7398.25,206048.70307088812,2054022.4640484385,503693.53585915454,198624.466666667,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,150,21
+2021-06-01,浙江秀舟热电有限公司,10.0720833333333,57.7717916666667,40.2421,7319.14,153472.72417953267,1661359.487707996,513969.41860007856,146079.008333333,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,151,21
+2021-06-02,浙江秀舟热电有限公司,9.88595833333333,57.5855416666667,43.1171,7984.25,248751.60867670196,3243285.4039963633,794193.4732746691,234353.158333333,582.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,152,21
+2021-06-03,浙江秀舟热电有限公司,9.74495833333333,57.656625,36.3203,7785.01,356899.46082378,4759941.456494137,1977300.0236749148,332660.05,557.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,153,21
+2021-06-04,浙江秀舟热电有限公司,9.96291666666667,56.6963333333333,41.3203,8529.23,235965.4724979364,2745601.5387613405,545290.2738660357,219816.270833333,610.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,154,22
+2021-06-05,浙江秀舟热电有限公司,9.533625,57.1543333333333,37.0781,8086.8,272262.44945481914,2785457.4041894497,1049187.5698039194,243613.420833333,558.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,155,22
+2021-06-06,浙江秀舟热电有限公司,9.158375,57.3802083333333,45.9179,8567.32,264945.91972771456,2402494.118576327,531570.8356641463,229819.7,618.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,156,22
+2021-06-07,浙江秀舟热电有限公司,8.986,57.872625,43.8856,7462.71,280621.58290844754,2611461.5797238685,733294.1533997501,247516.333333333,566.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,157,22
+2021-06-08,浙江秀舟热电有限公司,8.83779166666667,57.9710416666667,43.8808,8083.87,250285.166809984,2467967.6016752943,171227.9980591329,223583.754166667,587.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,158,22
+2021-06-09,浙江秀舟热电有限公司,9.022375,57.8610416666667,45.1933,8546.81,267561.74206267035,2274864.070535977,210763.72591047242,239099.275,621.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,159,22
+2021-06-10,浙江秀舟热电有限公司,9.559625,58.0667083333333,45.5253,8508.71999999999,373920.7342432298,2848634.756234066,884718.2948687717,324517.308333333,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,160,22
+2021-06-11,浙江秀舟热电有限公司,9.38620833333333,58.1480833333333,39.3192,7114.04,250038.11033994888,1779601.5473654626,572155.1564464472,218471.45,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,161,23
+2021-06-12,浙江秀舟热电有限公司,9.28954166666667,57.9485833333333,42.2812,7679.53,284915.252782817,2364415.3523453726,572454.631160868,248824.729166667,560.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,162,23
+2021-06-13,浙江秀舟热电有限公司,9.65670833333333,56.9724166666667,42.5546,7594.56,316667.3992403598,2419102.3801586735,282072.6911614469,282931.1875,559.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,163,23
+2021-06-14,浙江秀舟热电有限公司,9.14629166666667,57.1063333333333,29.7656,4872.59,233040.06621031053,2105155.3019068763,217710.67811973792,217074.354166667,429.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,164,23
+2021-06-15,浙江秀舟热电有限公司,8.926125,57.147125,38.8359,5898.09,314942.8670644236,2446431.199518279,252448.35344042652,292472.229166667,502.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,165,23
+2021-06-16,浙江秀舟热电有限公司,9.09458333333333,57.045375,32.7578,5827.77,289073.68254674604,1956754.519966423,229579.17110939653,260728.891666667,475.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,166,23
+2021-06-17,浙江秀舟热电有限公司,9.126625,57.1017083333333,42.164,7289.84,304976.9115047602,2265352.770392309,247908.27544637973,274404.104166667,532.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,167,23
+2021-06-18,浙江秀舟热电有限公司,9.471625,56.9331666666667,43.7187,7474.43,370137.40673102334,3400874.9218903645,304330.25342462613,333041.9375,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,168,24
+2021-06-19,浙江秀舟热电有限公司,9.13904166666667,55.817875,43.9609,7442.2,377227.13616343343,3453638.0521027623,317294.06255692814,339797.725,553.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,169,24
+2021-06-20,浙江秀舟热电有限公司,8.96625,56.1039166666667,44.2812,7761.57,340818.92306946265,2642115.844847111,289476.3618727303,310014.833333333,569.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,170,24
+2021-06-21,浙江秀舟热电有限公司,8.85420833333333,56.008625,42.8359,7076.16,343588.8710931544,2289250.9738788316,286862.4741562343,326552.533333333,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,171,24
+2021-06-22,浙江秀舟热电有限公司,9.01733333333333,56.3702916666667,41.7266,7445.13,384988.4691229002,3557470.32396724,353413.54922436515,373167.266666667,549.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,172,24
+2021-06-23,浙江秀舟热电有限公司,9.135875,56.926625,43.039,7752.78,386151.7630505748,3399167.1608922174,316142.67904557387,366241.995833333,572.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,173,24
+2021-06-24,浙江秀舟热电有限公司,9.23883333333333,57.1346666666667,42.7187,7462.71,243166.55309961145,1453778.5681466837,138228.67681166605,228852.720833333,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,174,24
+2021-06-25,浙江秀舟热电有限公司,9.72704166666667,57.362625,41.7578,7260.54,199541.90920550475,1640035.9102926848,120919.18138004109,185094.470833333,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,175,25
+2021-06-26,浙江秀舟热电有限公司,9.57204166666667,58.2742083333333,40.0781,7275.19,245284.43667830832,2159994.1118892957,150259.01721357624,224738.966666667,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,176,25
+2021-06-27,浙江秀舟热电有限公司,9.401875,58.611375,42.5625,7752.78,230339.3581104849,2053815.5144694939,147554.54584600907,212227.1625,559.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,177,25
+2021-06-28,浙江秀舟热电有限公司,9.43070833333333,58.440125,43.2421,7436.34,215034.3471122761,2043490.5230392835,129518.14363430225,198696.504166667,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,178,25
+2021-06-29,浙江秀舟热电有限公司,9.446375,58.5082916666667,36.7968,6932.38,230435.7896686083,2281606.3444727133,138101.38684593455,212625.395833333,534.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,179,25
+2021-06-30,浙江秀舟热电有限公司,9.637375,58.3099166666667,41.6796,7494.94,224022.19185962595,2351377.2855971814,176081.18615507855,208995.704166667,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,180,25
+2021-07-01,浙江秀舟热电有限公司,9.53841666666667,58.45725,40.8046,6739.0,223498.19656168768,2319616.3350619585,237526.20300277224,208398.3875,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,181,25
+2021-07-02,浙江秀舟热电有限公司,9.52325,58.8250833333333,41.2734,6586.64,250501.4333715149,2667866.852860358,249146.66371474892,230440.379166667,520.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,182,26
+2021-07-03,浙江秀舟热电有限公司,9.44925,58.6175416666667,41.2812,7043.72,235292.09576460972,2838484.610080208,238935.02884776806,220729.958333333,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,183,26
+2021-07-04,浙江秀舟热电有限公司,9.12366666666667,58.63275,38.2031,6021.15,231046.453949554,2462172.1464455468,231589.9686757103,218448.445833333,509.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,184,26
+2021-07-05,浙江秀舟热电有限公司,9.26870833333333,58.8233333333333,42.9218,6803.46,244257.70441334197,2710527.4713960933,250952.46227961918,229009.6875,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,185,26
+2021-07-06,浙江秀舟热电有限公司,9.34004166666667,58.46025,42.8359,7245.89,263655.2875185002,2420106.5329354485,270091.1157383888,248881.183333333,544.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,186,26
+2021-07-07,浙江秀舟热电有限公司,9.712,59.0737083333333,43.039,7342.58,263719.3824073084,3001034.144352868,286605.0432824547,247208.329166667,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,187,26
+2021-07-08,浙江秀舟热电有限公司,9.61404166666667,58.57925,43.7656,7401.18,249337.6169132947,2966427.5870874957,301890.5358031561,236992.204166667,547.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,188,26
+2021-07-09,浙江秀舟热电有限公司,9.446,58.31525,40.3593,6750.72,231247.88941002628,2476372.8452783613,346084.7823613841,228973.3,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,189,27
+2021-07-10,浙江秀舟热电有限公司,9.426125,57.7393333333333,30.5156,4860.87,190051.41963294905,2430550.6571914023,704439.7115823464,209999.054166667,434.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,190,27
+2021-07-11,浙江秀舟热电有限公司,9.30691666666667,58.2905416666667,25.4375,3911.55,201914.00635909385,2801179.8665247736,348821.0152816232,215646.029166667,357.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,191,27
+2021-07-12,浙江秀舟热电有限公司,8.85541666666667,58.528,39.7265,6079.75,235214.9426698231,2217504.804633144,851915.8033868915,244968.533333333,552.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,192,27
+2021-07-13,浙江秀舟热电有限公司,9.19054166666667,58.41075,43.3593,7029.07,234058.4234377046,2350352.7658030093,1112067.2594181555,240412.708333333,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,193,27
+2021-07-14,浙江秀舟热电有限公司,8.95979166666667,58.398,42.7968,7213.66,226914.36450496296,2098258.968445073,1317734.179656718,227014.970833333,540.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,194,27
+2021-07-15,浙江秀舟热电有限公司,9.48008333333333,58.50625,43.0,7266.4,229410.1978610565,2377089.898921884,414477.7063659274,217859.9875,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,195,27
+2021-07-16,浙江秀舟热电有限公司,9.46316666666667,58.5532916666667,43.3984,7313.28,210297.26762613392,2352194.75034306,351815.7831925484,199817.491666667,550.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,196,28
+2021-07-17,浙江秀舟热电有限公司,9.285125,58.5610833333333,43.3203,7020.28,158645.17169615012,2027152.9967391402,270984.0162343448,156413.291666667,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,197,28
+2021-07-18,浙江秀舟热电有限公司,8.82116666666667,54.1728333333333,42.2421,7096.46,132315.39757046284,1070743.8656735574,291341.07848872023,130092.1125,547.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,198,28
+2021-07-19,浙江秀舟热电有限公司,10.6816666666667,57.4770416666667,23.5234,4014.1,153059.56967586942,1973086.0547848241,303215.046733308,150986.529166667,347.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,199,28
+2021-07-20,浙江秀舟热电有限公司,9.60008333333333,58.5463333333333,36.5937,5836.56,165396.71370607492,2521150.8653019564,266596.50426084513,152384.466666667,497.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,200,28
+2021-07-21,浙江秀舟热电有限公司,9.39991666666667,58.6767916666667,43.5234,7070.09,215562.78324770395,2214533.233351756,212089.94858606101,173595.95,542.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,201,28
+2021-07-22,浙江秀舟热电有限公司,9.42229166666667,58.698125,43.0781,6741.93,247680.98861233113,2368668.158052995,432669.67083140486,198832.4,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,202,28
+2021-07-23,浙江秀舟热电有限公司,9.546625,58.6857083333333,40.7187,6428.42,246128.18231154047,2412651.1137278215,536434.9572587565,196883.05,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,203,29
+2021-07-24,浙江秀舟热电有限公司,9.82266666666667,58.0694583333333,42.4453,6566.13,266903.3446892447,2315655.045562918,986952.9184103129,199720.441666667,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,204,29
+2021-07-25,浙江秀舟热电有限公司,10.7919166666667,56.4209166666667,28.3984,4913.60999999999,145952.26101873163,979917.8045016761,620033.7278956751,113397.420833333,391.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,205,29
+2021-07-26,浙江秀舟热电有限公司,9.98875,56.7113333333333,21.7968,3099.94,160915.07921985793,1257883.7186189978,548030.7065562531,130477.6125,313.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,206,29
+2021-07-27,浙江秀舟热电有限公司,9.36129166666667,58.0456666666667,21.2031,3677.15,128226.25888937214,981940.7423569999,96261.22189474925,102962.904166667,318.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,207,29
+2021-07-28,浙江秀舟热电有限公司,9.49845833333333,58.0930416666667,28.3593,5109.92,129175.14815106061,987100.8438880846,87444.29312600268,103489.529166667,399.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,208,29
+2021-07-29,浙江秀舟热电有限公司,8.94045833333333,59.0267916666667,34.6402,5798.47,286187.51524402195,2652170.0260715736,247925.84232851042,228831.0125,471.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,209,29
+2021-07-30,浙江秀舟热电有限公司,8.58225,58.5605416666667,42.0,6993.91,284558.3464826226,1911151.579691779,187934.75555998166,240745.133333333,548.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,210,30
+2021-07-31,浙江秀舟热电有限公司,9.58366666666667,59.0138333333333,41.28,6967.54,281010.2383151571,3244931.714609561,344021.33241453656,212384.916666667,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,211,30
+2021-08-01,浙江秀舟热电有限公司,9.66366666666667,58.9855416666667,40.12,6929.45,289010.27105966106,2705272.160660148,761205.8432823675,222088.416666667,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,212,30
+2021-08-02,浙江秀舟热电有限公司,9.23783333333333,59.5319583333333,42.4,7070.09,274304.13038057147,2409641.3159813876,724512.9997269855,220474.2125,535.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,213,30
+2021-08-04,浙江秀舟热电有限公司,8.79141666666667,58.3080416666667,28.6,4816.92,98883.77869896119,632209.5930121861,103542.81388727193,90782.2291666667,420.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,215,30
+2021-08-05,浙江秀舟热电有限公司,8.63208333333333,58.65125,20.84,4172.32,130244.29502863849,865457.4405478917,237699.4451948309,116622.6125,331.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,216,30
+2021-08-06,浙江秀舟热电有限公司,8.53091666666667,58.5829166666667,26.44,4632.33,142628.5902198327,905876.4442608729,320726.35718225036,131180.033333333,375.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,217,31
+2021-08-07,浙江秀舟热电有限公司,9.33866666666667,58.24375,25.6,4503.41,249904.41549856722,1585464.164192648,292403.0601752926,212657.966666667,360.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,218,31
+2021-08-08,浙江秀舟热电有限公司,9.90175,58.3247083333333,40.48,6683.33,294818.5760157352,2597118.133747834,361159.09070350096,235466.454166667,525.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,219,31
+2021-08-10,浙江秀舟热电有限公司,9.78391666666667,59.2304166666667,42.6,6815.18,276203.14374281204,1874759.7198564042,722281.1940150326,203457.325,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,221,31
+2021-08-11,浙江秀舟热电有限公司,9.794375,59.0215,42.6,6815.18,298641.76545397204,2548937.481276721,276318.1997066912,212439.183333333,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,222,31
+2021-08-12,浙江秀舟热电有限公司,9.40341666666667,58.1777083333333,36.28,5692.99,230058.5165524058,1662510.8423237193,497998.99437801633,176212.566666667,487.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,223,31
+2021-08-13,浙江秀舟热电有限公司,8.67141666666667,58.3055,22.04,3861.74,241901.23105192688,1629170.6050116976,125312.58922408329,191377.970833333,343.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,224,32
+2021-08-14,浙江秀舟热电有限公司,9.70120833333333,57.6627916666667,26.12,4474.1,308910.1888581478,2029899.3203490584,400125.92021013156,224214.054166667,373.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,225,32
+2021-08-15,浙江秀舟热电有限公司,9.76258333333333,58.206125,41.48,7263.47,328247.1132766814,2540092.6672084737,1274541.7641554782,236190.716666667,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,226,32
+2021-08-16,浙江秀舟热电有限公司,9.80179166666667,58.3582916666667,42.24,7014.42,320313.75385334797,3229819.683970991,765648.4383339027,233430.341666667,529.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,227,32
+2021-08-17,浙江秀舟热电有限公司,9.52791666666667,57.8874166666667,43.72,7723.48,337471.3528610627,3525956.6061877855,1447502.9655845617,249571.541666667,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,228,32
+2021-08-18,浙江秀舟热电有限公司,9.25741666666667,57.901375,43.2,7676.6,339138.66783569887,4064256.1169640296,673829.0056555148,260147.75,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,229,32
+2021-08-19,浙江秀舟热电有限公司,9.47454166666667,58.2392916666667,43.92,8074.15,281709.5231490813,2790348.5435135923,211055.4914810488,218429.379166667,581.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,230,32
+2021-08-20,浙江秀舟热电有限公司,9.5085,58.098,43.44,7647.3,314596.4626204065,3293095.227810319,1022107.1996652839,241622.05,561.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,231,33
+2021-08-21,浙江秀舟热电有限公司,9.324125,57.911375,42.96,7111.11,283943.6536394616,3436845.4086742275,264654.57700097555,223123.345833333,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,232,33
+2021-08-22,浙江秀舟热电有限公司,9.03479166666667,57.7783333333333,42.56,7272.26,231171.6905593173,2269265.021336148,219961.70027448528,188081.225,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,233,33
+2021-08-23,浙江秀舟热电有限公司,8.921125,57.7054583333333,41.52,6999.77,274900.1648840714,1979731.7166538786,499267.82364887773,221118.225,528.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,234,33
+2021-08-24,浙江秀舟热电有限公司,8.49283333333333,57.6745833333333,30.56,5074.76,218432.54284108037,1199566.4805358942,152627.06008342135,180127.775,444.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,235,33
+2021-08-25,浙江秀舟热电有限公司,9.27020833333333,57.1035833333333,39.28,6580.78,336263.4375340289,2129539.630830029,152236.97947653398,263246.220833333,513.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,236,33
+2021-08-26,浙江秀舟热电有限公司,8.82591666666667,57.863875,41.56,6920.66,303602.3925574858,1803232.705037409,65071.51028309596,242049.983333333,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,237,33
+2021-08-27,浙江秀舟热电有限公司,9.136125,57.9505416666667,43.6,6952.89,423138.3932440564,3583746.2662960603,82797.79603828269,334709.45,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,238,34
+2021-08-28,浙江秀舟热电有限公司,9.08216666666667,58.56475,43.16,6812.25,292120.90973931516,2447933.650294098,65963.16812087243,229074.75,534.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,239,34
+2021-08-29,浙江秀舟热电有限公司,9.52633333333333,58.4375416666667,42.8,6636.45,232627.5612557367,1768268.5929689673,53822.96245584919,175538.595833333,531.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,240,34
+2021-08-30,浙江秀舟热电有限公司,10.0279166666667,57.9852916666667,41.68,6229.18,269022.04412601487,2081669.320373956,51701.79738739241,194616.466666667,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,241,34
+2021-08-31,浙江秀舟热电有限公司,9.60241666666667,58.1220416666667,41.0,6577.85,314376.4196325505,2596975.532782437,111111.19059094184,222435.8375,526.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,242,34
+2021-09-01,浙江秀舟热电有限公司,9.22825,57.8679166666667,38.52,6375.68,297708.1125403384,2241555.6315825647,176824.7088074351,219608.195833333,501.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,243,34
+2021-09-02,浙江秀舟热电有限公司,8.68545833333333,57.958875,38.24,6029.94,312077.1714507537,1361847.53978667,241002.0285365694,245445.0875,507.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,244,34
+2021-09-03,浙江秀舟热电有限公司,9.6805,57.458875,34.2,5725.22,335496.68449117494,3175523.618804767,148199.9828009848,228460.1,467.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,245,35
+2021-09-04,浙江秀舟热电有限公司,9.94633333333333,57.7211666666667,39.68,6542.69,371271.7212992974,2665614.862115831,153974.1559416601,250536.4625,513.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,246,35
+2021-09-05,浙江秀舟热电有限公司,9.66966666666667,57.835875,37.72,5874.65,368973.117991582,3247890.247228586,161529.29965462507,255280.420833333,513.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,247,35
+2021-09-06,浙江秀舟热电有限公司,9.52616666666667,57.9047083333333,38.56,5775.03,368792.6566161298,3609670.601739029,163167.90636487273,252750.704166667,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,248,35
+2021-09-07,浙江秀舟热电有限公司,9.25604166666667,57.0152916666667,40.56,6659.89,338171.77197404235,2025103.2198090607,172183.3685608131,241712.970833333,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,249,35
+2021-09-08,浙江秀舟热电有限公司,9.61604166666667,55.5577083333333,38.56,5775.03,299956.4783901605,1795242.9593771193,209000.98765460582,230277.629166667,505.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,250,35
+2021-09-10,浙江秀舟热电有限公司,9.535875,55.8214166666667,26.88,4620.60999999999,288788.8124482911,1437894.587579052,278126.40993130946,212837.466666667,371.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,252,36
+2021-09-11,浙江秀舟热电有限公司,9.89975,56.2743333333333,27.72,4705.58,336154.687512524,2489375.7712147054,328008.83434727404,243615.683333333,379.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,253,36
+2021-09-12,浙江秀舟热电有限公司,9.80191666666667,56.8639166666667,39.88,6695.05,328377.41049465415,2526291.896033682,313207.9210699523,230228.116666667,514.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,254,36
+2021-09-13,浙江秀舟热电有限公司,9.62541666666667,56.256625,30.48,4983.93,197189.69978440454,1414953.1296867938,177669.2593100891,148064.9625,405.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,255,36
+2021-09-14,浙江秀舟热电有限公司,9.970875,56.468625,27.28,4482.92,295032.27670094155,1987617.5022783794,280062.8024649503,219644.175,374.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,256,36
+2021-09-15,浙江秀舟热电有限公司,9.89441666666667,56.80825,42.0,7190.22,403361.18316054787,3803372.9925483274,382641.6022919896,298672.9125,537.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,257,36
+2021-09-16,浙江秀舟热电有限公司,9.83083333333333,56.6685833333333,42.96,7222.45,360541.29636128206,2348161.585348474,303097.26741826214,255609.658333333,550.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,258,36
+2021-09-17,浙江秀舟热电有限公司,9.660375,56.3049583333333,41.92,7225.38,348526.3356062166,2437075.1098699453,303145.15913244465,247562.483333333,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,259,37
+2021-09-18,浙江秀舟热电有限公司,9.132,56.3043333333333,39.08,6782.95,288551.67742205184,1845751.331740457,285159.776277291,221725.925,518.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,260,37
+2021-09-19,浙江秀舟热电有限公司,8.270125,57.1797083333333,38.28,6791.74,284374.3658059458,1087223.10611803,235832.49730958068,232484.5875,519.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,261,37
+2021-09-20,浙江秀舟热电有限公司,7.66,57.3087083333333,42.96,7245.89,329046.11916337773,112629.8892268895,181666.78586546413,292183.2,546.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,262,37
+2021-09-21,浙江秀舟热电有限公司,8.03620833333333,56.635375,40.52,6744.86,287900.8683803889,803223.6355832553,215785.97935210663,235938.966666667,518.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,263,37
+2021-09-22,浙江秀舟热电有限公司,8.75991666666667,56.5933333333333,22.8,3800.21,456125.68662522733,2912712.777648228,377689.60800233204,353535.920833333,328.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,264,37
+2021-09-23,浙江秀舟热电有限公司,8.61908333333333,56.7712083333333,39.04,6829.83,531108.0430565494,1885850.8690151433,565725.5721191213,460581.75,523.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,265,37
+2021-09-24,浙江秀舟热电有限公司,8.69379166666667,56.767,42.84,7732.27,510578.76572844386,2150669.158026537,451524.0935124209,441414.483333333,564.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,266,38
+2021-09-25,浙江秀舟热电有限公司,8.44358333333333,57.08025,43.72,7600.42,531344.181380745,1406052.4598954034,433451.1567826168,465723.854166667,563.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,267,38
+2021-09-26,浙江秀舟热电有限公司,8.2065,56.905625,42.8,7445.13,519542.98786383355,832479.0751867371,421427.8694798763,456348.179166667,565.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,268,38
+2021-09-27,浙江秀舟热电有限公司,8.084875,57.412625,41.24,7207.8,534727.4191152839,886088.0401793062,408260.36064643244,471474.791666667,541.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,269,38
+2021-09-28,浙江秀舟热电有限公司,8.27029166666667,57.5665,42.12,7304.49,527060.7469113686,802912.8876102243,399573.09994612593,460685.708333333,532.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,270,38
+2021-09-29,浙江秀舟热电有限公司,8.36095833333333,57.6473333333333,42.56,7228.31,617378.8435421977,3107128.927839382,937198.2983083816,495754.104166667,527.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,271,38
+2021-10-01,浙江秀舟热电有限公司,9.077375,56.8004166666667,44.96,8485.28,534926.5944119152,2597142.131023566,912719.025734699,439919.55,600.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,273,39
+2021-10-02,浙江秀舟热电有限公司,7.82904166666667,57.1719583333333,40.76,7245.89,500455.6090025723,537117.0426813472,857510.1977659338,462238.5375,549.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,274,39
+2021-10-03,浙江秀舟热电有限公司,7.60204166666667,57.231125,44.24,8335.85,395717.59074627067,104852.33640406327,611284.6188620614,382646.766666667,538.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,275,39
+2021-10-04,浙江秀舟热电有限公司,7.54058333333333,57.681625,42.92,8165.91,413860.1942988981,619069.0362041818,696379.4680195786,394964.154166667,579.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,276,39
+2021-10-05,浙江秀舟热电有限公司,8.09829166666667,57.57125,44.84,8998.03,413933.62869365275,1342914.4737461011,1126994.1488264415,372748.625,617.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,277,39
+2021-10-06,浙江秀舟热电有限公司,8.049875,58.2955833333333,45.36,9088.86,428518.14600462216,3339274.804714025,774322.9736666428,367937.5625,615.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,278,39
+2021-10-07,浙江秀舟热电有限公司,8.54729166666667,57.8655,44.64,9830.15,420846.1545019824,4160075.39552189,1277852.352674952,352094.870833333,659.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,279,39
+2021-10-08,浙江秀舟热电有限公司,8.28825,58.0579166666667,42.36,9279.31,419994.52807777736,4673604.896929263,1256702.6120503817,378962.6625,631.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,280,40
+2021-10-10,浙江秀舟热电有限公司,8.08720833333333,58.75725,45.32,9745.18,428397.8829875908,6147092.734390879,618209.4783253311,397111.029166667,657.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,282,40
+2021-10-11,浙江秀舟热电有限公司,8.36083333333333,57.7932083333333,48.28,10035.25,480841.2418322061,6079966.272297236,719227.0391671415,404241.804166667,697.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,283,40
+2021-10-12,浙江秀舟热电有限公司,8.267125,57.3791666666667,49.16,10301.8799999999,513117.91988177894,6130917.755909069,1103360.9037058228,417965.120833333,720.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,284,40
+2021-10-13,浙江秀舟热电有限公司,7.73508333333333,58.428875,50.28,10600.74,502104.33415220724,6649860.9118364,1078823.503874574,427965.454166667,740.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,285,40
+2021-10-14,浙江秀舟热电有限公司,7.564375,59.2200833333333,50.08,10407.36,496529.5511546759,5901731.807206358,1816616.462694797,431550.120833333,738.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,286,40
+2021-10-15,浙江秀舟热电有限公司,7.83858333333333,58.5849166666667,50.68,10427.87,488864.63362319703,5513738.3924787175,1756238.6938988715,422673.233333333,737.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,287,41
+2021-10-16,浙江秀舟热电有限公司,7.95841666666667,57.63775,50.36,10448.3799999999,515566.86068688775,5697926.8013615385,1664445.7342269302,432663.825,736.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,288,41
+2021-10-17,浙江秀舟热电有限公司,7.887875,56.522,51.76,10952.34,496825.6076504107,4158995.697308507,1531078.062833137,410235.108333333,770.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,289,41
+2021-10-19,浙江秀舟热电有限公司,7.757375,56.8684583333333,50.8,11309.8,575857.7926533076,6279051.031216793,1999028.6772047197,475400.691666667,791.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,291,41
+2021-10-20,浙江秀舟热电有限公司,7.87520833333333,56.5630416666667,51.4,11227.76,539386.797901187,5468503.822433603,1946307.3939659216,438172.4,773.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,292,41
+2021-10-21,浙江秀舟热电有限公司,7.81666666666667,56.619125,45.04,10635.9,588183.171977417,6781440.938701713,2859688.1513141543,467017.566666667,745.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,293,41
+2021-10-22,浙江秀舟热电有限公司,7.57325,56.702875,47.96,11667.26,605286.9973266472,7571415.018434066,3204690.4703224925,492148.158333333,813.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,294,42
+2021-10-23,浙江秀舟热电有限公司,7.37020833333333,56.736625,52.88,11652.61,559907.0586529227,7638524.073480406,3022470.2773579042,472677.958333333,815.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,295,42
+2021-10-24,浙江秀舟热电有限公司,6.74779166666667,57.3957916666667,50.68,11409.42,550507.3020929518,8018559.694940193,3360588.35299684,487238.575,798.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,296,42
+2021-10-25,浙江秀舟热电有限公司,6.55479166666667,57.901875,53.04,12481.8,546899.7402544376,9141654.75929025,3615481.8422600487,498011.754166667,858.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,297,42
+2021-10-26,浙江秀舟热电有限公司,6.49716666666667,57.6321666666667,52.76,12839.26,536935.0903944052,7042320.275148532,3260667.6886974378,500004.391666667,880.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,298,42
+2021-10-27,浙江秀舟热电有限公司,6.57554166666667,57.648125,54.76,12549.19,548771.2014346448,8567118.8296005,2719120.625663271,495638.45,861.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,299,42
+2021-10-28,浙江秀舟热电有限公司,6.80766666666667,57.4730833333333,54.32,12549.19,545283.9279204996,8093138.746545266,1087868.933063552,489309.1,858.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,300,42
+2021-10-29,浙江秀舟热电有限公司,6.678125,57.506875,50.64,12361.67,532138.5784392519,8323436.637339428,743206.2013168694,498682.279166667,847.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,301,43
+2021-10-30,浙江秀舟热电有限公司,6.93275,57.1974166666667,53.64,12587.28,504052.69561033987,8548535.102591857,640065.954547352,485660.266666667,860.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,302,43
+2021-10-31,浙江秀舟热电有限公司,6.91775,57.6669583333333,53.28,12018.86,508443.33608293894,7101140.316425902,633017.050831845,478858.233333333,828.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,303,43
+2021-11-01,浙江秀舟热电有限公司,6.93291666666667,57.5228333333333,52.16,11828.41,494253.6398378484,5979834.36770686,778547.2393062479,464817.741666667,817.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,304,43
+2021-11-02,浙江秀舟热电有限公司,6.465625,58.15,45.0,11678.98,515227.4626190572,7190181.527224442,628202.4109423715,503885.1125,793.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,305,43
+2021-11-03,浙江秀舟热电有限公司,6.84133333333333,57.3902083333333,52.8,12657.6,470904.4348354061,4650177.965770849,461966.4764237353,481091.6,864.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,306,43
+2021-11-04,浙江秀舟热电有限公司,6.68291666666667,57.5897916666667,48.6,11866.5,455518.76079724845,4888139.052416002,469113.5330943533,480698.108333333,812.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,307,43
+2021-11-05,浙江秀舟热电有限公司,6.659,58.132875,49.7226,12221.03,466809.7876766765,6251959.874998122,550870.3021030601,493602.579166667,837.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,308,44
+2021-11-06,浙江秀舟热电有限公司,6.64945833333333,58.047375,49.6,12429.06,503339.66968619166,7800488.241468527,723166.0549678191,488517.0125,844.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,309,44
+2021-11-07,浙江秀舟热电有限公司,6.84883333333333,57.5577083333333,52.08,12572.63,537996.4175997783,9084345.288103277,1639552.385889418,492145.166666667,852.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,310,44
+2021-11-08,浙江秀舟热电有限公司,6.83891666666667,56.9467916666667,54.76,12903.72,631134.3719718523,9678552.563828306,3166873.5758812013,519525.108333333,879.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,311,44
+2021-11-09,浙江秀舟热电有限公司,6.02925,58.1138333333333,56.56,14122.6,635980.2261113304,10997266.603883976,3866065.1282417104,516529.441666667,965.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,312,44
+2021-11-10,浙江秀舟热电有限公司,7.364875,57.39125,52.76,13952.66,569635.4972295917,7803116.611176116,3350612.2387310974,446314.875,952.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,313,44
+2021-11-11,浙江秀舟热电有限公司,7.1895,57.7127083333333,33.68,11514.9,574543.9541774545,9216136.930844918,2037971.9048082244,421194.445833333,776.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,314,44
+2021-11-12,浙江秀舟热电有限公司,6.88895833333333,57.670125,54.8,14951.79,568991.7251046706,9967083.697876992,2116956.1577756815,438010.116666667,968.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,315,45
+2021-11-13,浙江秀舟热电有限公司,7.73558333333333,57.5805416666667,52.36,13796.1,529153.4868770808,8203021.759291645,3042404.6469798204,411382.570833333,943.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,316,45
+2021-11-14,浙江秀舟热电有限公司,7.51766666666667,57.4127083333333,35.08,11415.28,479016.14409597835,6688459.583333365,2159009.211422177,396555.5875,774.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,317,45
+2021-11-15,浙江秀舟热电有限公司,6.77979166666667,58.1235416666667,49.08,12563.84,504379.9824603089,9993402.96833451,2695412.1406042096,438934.133333333,856.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,318,45
+2021-11-16,浙江秀舟热电有限公司,7.39879166666667,57.5530833333333,52.44,13586.41,471587.03514127014,7822006.900309383,1905282.646445627,422350.591666667,820.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,319,45
+2021-11-17,浙江秀舟热电有限公司,7.75295833333333,57.1609583333333,51.12,11834.27,432721.11281235557,5794430.59752779,1500114.3095232246,388982.158333333,815.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,320,45
+2021-11-18,浙江秀舟热电有限公司,8.02483333333333,56.799375,36.72,10111.43,436955.133344584,4600445.100697668,2205103.4440789525,382337.475,708.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,321,45
+2021-11-19,浙江秀舟热电有限公司,7.416875,57.7611666666667,45.56,11579.36,482574.59007045184,7722110.90011194,3064978.6452678367,426216.791666667,780.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,322,46
+2021-11-20,浙江秀舟热电有限公司,7.0195,58.36125,52.56,12938.88,497994.3697608494,7633341.620075687,2227506.574286709,443376.320833333,872.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,323,46
+2021-11-21,浙江秀舟热电有限公司,7.83279166666667,57.5243333333333,51.56,13158.63,472235.3664680534,6287449.554014477,1562512.3626175134,415338.95,902.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,324,46
+2021-11-22,浙江秀舟热电有限公司,7.78195833333333,56.741875,46.2,11394.77,508066.712021258,6973454.81319408,2400888.1299753455,423072.991666667,795.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,325,46
+2021-11-23,浙江秀舟热电有限公司,7.965125,55.979875,44.72,12285.49,495400.7660607086,5254838.381000212,1668158.8153645957,383945.8375,854.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,326,46
+2021-11-24,浙江秀舟热电有限公司,7.95933333333333,56.3017083333333,33.88,11008.01,504962.92648066743,6672025.598161882,2032765.9105176209,400814.979166667,764.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,327,46
+2021-11-25,浙江秀舟热电有限公司,7.73108333333333,56.6490833333333,33.84,11125.21,489012.0238628361,5690015.155988525,1758904.5937311621,413407.683333333,767.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,328,46
+2021-11-26,浙江秀舟热电有限公司,7.705375,56.5532916666667,32.8,10779.47,450509.77595604473,6114225.702384252,1577993.9523487887,401896.425,750.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,329,47
+2021-11-27,浙江秀舟热电有限公司,7.71545833333333,56.7899166666667,32.0,11971.98,467967.95836372726,6513624.3268589,1876006.1344060907,416275.358333333,739.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,330,47
+2021-11-28,浙江秀舟热电有限公司,6.97695833333333,57.756875,34.04,10966.99,492583.65226071276,5964302.767127469,2178053.0375929996,439003.358333333,764.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,331,47
+2021-11-29,浙江秀舟热电有限公司,6.26025,58.6432916666667,51.88,12549.19,523380.573418454,9086060.07607115,2367718.7831426794,475216.291666667,872.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,332,47
+2021-11-30,浙江秀舟热电有限公司,7.19733333333333,56.8540833333333,55.36,14471.27,506980.85512706556,7698031.830757407,2837332.6466193106,483191.2375,913.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,333,47
+2021-12-01,浙江秀舟热电有限公司,7.298625,56.2665416666667,53.8,14014.19,544706.1953520926,8929441.86832823,3254300.5294661913,481745.416666667,881.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,334,47
+2021-12-03,浙江秀舟热电有限公司,6.53533333333333,56.9630416666667,48.6,14102.09,608169.6944021092,11508338.779126251,2728050.8026655093,488134.266666667,893.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,336,48
+2021-12-04,浙江秀舟热电有限公司,6.371125,57.303375,53.12,14310.12,609635.9470507005,8574242.65203795,2253691.851399507,480352.2625,907.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,337,48
+2021-12-05,浙江秀舟热电有限公司,6.40675,57.65575,48.96,13776.86,594078.3938790867,8175481.396368747,2074730.6828820645,494035.175,881.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,338,48
+2021-12-06,浙江秀舟热电有限公司,5.89695833333333,57.88175,54.16,13788.58,617494.1914206669,8319741.133941216,2099654.1434849547,497497.575,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,339,48
+2021-12-07,浙江秀舟热电有限公司,6.32825,57.4657083333333,54.72,14392.16,629024.6838957436,5916100.212652249,1870926.0057021184,497966.229166667,912.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,340,48
+2021-12-08,浙江秀舟热电有限公司,6.60233333333333,57.7856666666667,54.44,13694.82,687178.7870727807,8651576.622681174,1718075.5096454734,473957.483333333,889.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,341,48
+2021-12-09,浙江秀舟热电有限公司,7.7275,57.4394583333333,51.52,13618.64,689441.2446658475,9727312.32021775,1584457.6596876744,407383.9,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,342,48
+2021-12-10,浙江秀舟热电有限公司,8.0485,56.9982916666667,52.8,13557.11,668360.205079469,7098026.673615085,1378374.204480948,378790.366666667,876.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,343,49
+2021-12-11,浙江秀舟热电有限公司,7.60475,57.4685416666667,44.52,12308.93,657948.7458061045,9392796.989488838,2214724.560533821,417318.9625,797.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,344,49
+2021-12-12,浙江秀舟热电有限公司,8.02233333333333,57.4657083333333,54.32,13422.33,590214.489165918,9558640.491220329,2004740.8946293178,413583.7125,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,345,49
+2021-12-13,浙江秀舟热电有限公司,7.85629166666667,56.8321666666667,51.0,12713.27,543661.1034952935,7714079.105196456,1768613.2046748854,395488.45,840.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,346,49
+2021-12-14,浙江秀舟热电有限公司,7.70375,57.2349583333333,49.12,12921.3,613287.488456006,9015566.970170766,2562356.7690163865,422122.354166667,837.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,347,49
+2021-12-15,浙江秀舟热电有限公司,7.35225,57.5093333333333,52.24,13404.75,544906.972662818,8639193.610219335,2167513.703599751,415740.6,869.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,348,49
+2021-12-16,浙江秀舟热电有限公司,7.499125,57.6162916666667,50.84,13243.6,528479.1700648584,9290347.829708839,1434446.9257617,412656.2,853.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,349,49
+2021-12-17,浙江秀舟热电有限公司,7.38183333333333,56.8337083333333,54.2,13328.57,570982.6274846888,8975498.397377782,959234.2709424145,440457.025,868.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,350,50
+2021-12-18,浙江秀舟热电有限公司,7.29125,56.3267916666667,53.68,13888.2,601070.4899011316,8102958.692493869,1130084.645304927,435172.7875,880.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,351,50
+2021-12-19,浙江秀舟热电有限公司,7.53104166666667,56.3152916666667,52.16,13056.08,657327.3038942245,8867389.173565283,744658.6011398259,424814.029166667,846.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,352,50
+2021-12-20,浙江秀舟热电有限公司,7.4205,56.903125,51.56,12675.18,671472.4684670697,7722215.37109565,383856.35604028375,420675.220833333,824.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,353,50
+2021-12-21,浙江秀舟热电有限公司,7.50054166666667,56.9627083333333,51.24,12581.42,680763.5721865777,7992223.842822088,186796.51793615991,403300.458333333,813.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,354,50
+2021-12-22,浙江秀舟热电有限公司,7.04541666666667,57.3947083333333,45.6,12402.69,638633.905083068,8514362.54037455,288348.43493540416,415358.308333333,793.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,355,50
+2021-12-23,浙江秀舟热电有限公司,6.98825,58.7793333333333,51.44,12798.24,807826.4738839953,9578878.058303742,536727.0875158883,423600.629166667,831.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,356,50
+2021-12-24,浙江秀舟热电有限公司,7.269125,58.8447083333333,53.88,13706.54,783469.234880833,10006518.293393206,522749.6189837507,430427.191666667,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,357,51
+2021-12-26,浙江秀舟热电有限公司,7.84479166666667,57.3271666666667,54.88,14160.69,769489.8449953011,7439580.819469122,559501.9371663226,455380.816666667,878.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,359,51
+2021-12-27,浙江秀舟热电有限公司,7.78008333333333,56.669875,0.005336,14251.0,673452.379338417,6479051.667097772,316725.33547018,421215.095833333,901.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,360,51
+2021-12-28,浙江秀舟热电有限公司,7.73891666666667,56.732375,0.0034,12355.0,573284.2659046523,4530795.523426752,309147.5284622803,386609.6875,764.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,361,51
+2021-12-29,浙江秀舟热电有限公司,7.80754166666667,57.064,0.003172,12496.0,580092.4534845977,6159361.15113146,456649.2824695049,400048.229166667,761.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,362,51
+2021-12-30,浙江秀舟热电有限公司,8.95225,56.6542083333333,0.00344,12753.0,515361.77092304,6564612.608179761,673265.2304704445,395486.9,782.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,363,51
+2021-12-31,浙江秀舟热电有限公司,9.360375,55.4079166666667,0.003324,10080.0,382928.12538962706,2995954.048115704,525060.6481593056,325045.933333333,644.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,364,52
+2022-01-04,浙江秀舟热电有限公司,7.171625,58.242375,0.004828,13876.0,686778.9113580125,7403620.126638113,754504.6753493246,433502.525,872.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,3,0
+2022-01-05,浙江秀舟热电有限公司,7.062375,58.8659166666667,0.00506,14137.0,651869.4504878834,8680207.399468927,737661.9808070448,448353.354166667,894.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,4,0
+2022-01-06,浙江秀舟热电有限公司,6.87025,58.839375,0.005304,14841.0,606819.9684251071,9287010.257097043,173785.81895594718,460208.891666667,918.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,5,0
+2022-01-07,浙江秀舟热电有限公司,6.844625,58.546875,0.0057079999999999995,15441.0,600500.8423222305,9058737.67662341,1051364.4592414699,457412.833333333,962.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,6,0
+2022-01-08,浙江秀舟热电有限公司,7.16204166666667,58.117625,0.005236,14801.0,578619.0980433135,7834200.061146105,913326.5071228427,438217.308333333,920.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,7,1
+2022-01-10,浙江秀舟热电有限公司,7.95841666666667,57.7777083333333,0.0052759999999999994,14218.0,612453.5375781772,7089525.0394855095,1305221.547368233,458871.2625,901.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,9,1
+2022-01-11,浙江秀舟热电有限公司,8.56429166666667,57.3385833333333,0.005016,14406.0,611043.7707510848,7974592.99052392,1101724.0430108,455021.125,900.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,10,1
+2022-01-12,浙江秀舟热电有限公司,8.28825,57.3978333333333,0.005128,13669.0,614804.1390286093,8236406.978451277,1565301.181971631,457400.283333333,873.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,11,1
+2022-01-13,浙江秀舟热电有限公司,9.462,56.607,0.005232,13788.0,451878.5626939783,4174798.0683252243,2110515.0136936936,330660.0875,877.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,12,1
+2022-01-14,浙江秀舟热电有限公司,8.84920833333333,57.5132916666667,0.0054,13803.0,354311.06799375603,7396642.268866579,1326869.108705181,259130.9375,887.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,13,1
+2022-01-15,浙江秀舟热电有限公司,8.889375,57.275375,0.005056000000000001,13595.0,241459.52728392681,1970525.8793652367,331025.5551329108,240612.125,876.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,14,2
+2022-01-16,浙江秀舟热电有限公司,8.455,57.3646666666667,0.005508,14107.0,100839.06576004346,2207622.4558783486,355721.7502097441,223509.320833333,895.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,15,2
+2022-01-17,浙江秀舟热电有限公司,8.348125,57.633875,0.003672,11296.0,99360.07535756202,2181383.692636327,338412.5419411258,219950.2,710.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,16,2
+2022-01-18,浙江秀舟热电有限公司,7.83916666666667,58.2860416666667,0.00486,12738.0,98821.31096344737,1654758.7845944823,288627.4872660229,216346.758333333,815.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,17,2
+2022-01-20,浙江秀舟热电有限公司,8.48183333333333,56.0247916666667,0.005324000000000001,13177.0,238944.93362988796,1265609.9574386333,141756.19244202098,230100.583333333,835.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,19,2
+2022-01-21,浙江秀舟热电有限公司,8.03675,56.016,0.005028,12519.0,235772.31440017608,530100.6452705081,143805.56642587576,226260.579166667,805.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,20,2
+2022-01-22,浙江秀舟热电有限公司,7.92141666666667,55.4415416666667,0.005224,12472.0,226608.5436220229,474758.5859794429,125981.26109431314,218349.604166667,822.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,21,3
+2022-01-23,浙江秀舟热电有限公司,8.75633333333333,54.5743333333333,0.005136,12051.0,216438.64114717132,1168015.5095892658,142527.93617065172,210121.608333333,790.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,22,3
+2022-01-24,浙江秀舟热电有限公司,9.11016666666667,53.0310416666667,0.005111999999999999,11276.0,214010.6578691687,2183236.05834072,173095.11223706903,211378.329166667,751.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,23,3
+2022-01-25,浙江秀舟热电有限公司,13.6360416666667,42.9084583333333,0.004932,11007.0,229606.50812256502,1188455.3075535875,168782.01711756893,240801.208333333,672.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,24,3
+2022-01-26,浙江秀舟热电有限公司,15.6215833333333,36.4129166666667,0.002964,8132.0,244979.64964244445,390165.88115965395,211014.26849920984,263197.579166667,484.0,高温高压循环流化床锅炉,中高挥发分烟煤,20.501,背压式,水冷-闭式循环,230,高压,30,25,3
+2021-01-01,武乡西山发电有限责任公司,,,952.0,11032.5,3880672.3704000004,49077258.21039999,31403834.643999998,1558502.96,5478.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,0,0
+2021-01-02,武乡西山发电有限责任公司,,,1127.0,11180.5,4138060.0449999995,52179123.675,33417719.965,1648629.5,6125.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,1,0
+2021-01-03,武乡西山发电有限责任公司,,,1051.0,11197.7,4141706.5749999997,52483705.718399994,32669781.463599995,1656682.63,5717.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,2,0
+2021-01-04,武乡西山发电有限责任公司,,,1179.0,11146.6,4058451.0792,50746743.4546,28409157.5544,1610496.46,6172.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,3,0
+2021-01-05,武乡西山发电有限责任公司,,,1142.0,10922.4,4130825.2,52411910.1376,30832479.2928,1652330.08,6053.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,4,0
+2021-01-06,武乡西山发电有限责任公司,,,1183.0,10984.9,3881396.9579,47056139.2147,30834683.4026,1546373.29,6273.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,5,0
+2021-01-07,武乡西山发电有限责任公司,,,1068.0,10873.5,4531310.3808,56227807.7808,32276595.768,1798139.04,5932.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,6,0
+2021-01-08,武乡西山发电有限责任公司,,,1043.0,10935.9,4369515.949999999,51682634.6566,34012312.1548,1747806.38,5805.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,7,1
+2021-01-09,武乡西山发电有限责任公司,,,1112.0,9485.7,4265935.752900001,50334615.4298,32791168.7994,1713227.21,6091.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,8,1
+2021-01-10,武乡西山发电有限责任公司,,,838.0,8367.5,4478295.9258,51293574.218399994,34081810.359,1798512.42,5061.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,9,1
+2021-01-11,武乡西山发电有限责任公司,,,925.0,9831.5,4192576.7178999996,48390018.9313,29966066.2626,1670349.29,4929.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,10,1
+2021-01-12,武乡西山发电有限责任公司,,,843.0,9864.79999999999,4413503.127599999,48303339.785399996,29756118.308699995,1751390.13,4789.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,11,1
+2021-01-13,武乡西山发电有限责任公司,,,1017.0,10155.1,4408606.35,49781982.9042,32482611.586800005,1763442.54,5527.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,12,1
+2021-01-14,武乡西山发电有限责任公司,,,874.0,10283.2999999999,3706092.8908,42166417.8696,27280534.391199995,1537797.88,5209.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,13,1
+2021-01-15,武乡西山发电有限责任公司,,,929.0,9217.4,4056578.0459999996,46579060.857599996,30782268.702,1590814.92,4601.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,14,2
+2021-01-16,武乡西山发电有限责任公司,,,946.0,8768.2,4089487.5284,47624819.326799996,29656834.753200002,1610034.46,5207.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,15,2
+2021-01-17,武乡西山发电有限责任公司,,,936.0,10105.7999999999,4089487.5284,47624819.326799996,29656834.753200002,1610034.46,5356.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,16,2
+2021-01-18,武乡西山发电有限责任公司,,,888.0,10169.0,4122108.0479999995,53684395.4016,32265598.6816,1616512.96,4841.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,17,2
+2021-01-19,武乡西山发电有限责任公司,,,0.0,0.0,4138804.7442000005,59821519.174200006,37049782.2282,1662170.58,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,18,2
+2021-01-20,武乡西山发电有限责任公司,,,0.0,0.0,4225421.52,41640847.56,25471795.049999997,1703799.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,19,2
+2021-01-21,武乡西山发电有限责任公司,,,0.0,0.0,3859002.4480000003,38700281.6928,21704919.8912,1575103.04,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,20,2
+2021-01-22,武乡西山发电有限责任公司,,,0.0,0.0,4428675.725,43401022.105000004,24676581.1397,1771470.29,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,21,3
+2021-01-23,武乡西山发电有限责任公司,,,401.0,0.0,4176160.4895999995,41545309.731199995,21995554.4512,1663808.96,2165.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,22,3
+2021-01-24,武乡西山发电有限责任公司,,,1031.0,10313.5,4269093.5016,45032050.8072,26268696.304199997,1721408.67,5825.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,23,3
+2021-01-25,武乡西山发电有限责任公司,,,885.0,10491.9,4655959.758,42438210.9794,25987153.1678,1724429.54,5523.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,24,3
+2021-01-26,武乡西山发电有限责任公司,,,1035.0,10739.5,4538813.681999999,43075910.98199999,21375243.3024,1712759.88,5834.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,25,3
+2021-01-27,武乡西山发电有限责任公司,,,978.0,11230.0,4585456.0488,44360813.4418,24334181.5317,1736915.17,5604.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,26,3
+2021-01-28,武乡西山发电有限责任公司,,,1009.0,10861.2,3925507.7376,37215653.4342,21559624.5276,1533401.46,5685.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,27,3
+2021-01-29,武乡西山发电有限责任公司,,,1046.0,10937.1,3988282.5970999994,38563991.4867,21021903.8883,1588957.21,5888.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,28,4
+2021-01-30,武乡西山发电有限责任公司,,,918.0,10355.6,4396598.9569,40990344.647599995,25543738.4264,1671710.63,5344.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,29,4
+2021-01-31,武乡西山发电有限责任公司,,,889.0,10920.8,4356438.1686,40403507.375700004,21323618.4042,1637758.71,4697.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,30,4
+2021-02-01,武乡西山发电有限责任公司,,,962.0,11014.4,4316629.509000001,38114239.8128,21567160.0283,1598751.67,5104.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,31,4
+2021-02-02,武乡西山发电有限责任公司,,,895.0,10724.2,4262876.5531,46294507.625300005,26771528.2362,1658706.83,5069.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,32,4
+2021-02-03,武乡西山发电有限责任公司,,,897.0,10840.4,4414073.9688,49468070.34,25199119.592,1691216.08,5214.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,33,4
+2021-02-04,武乡西山发电有限责任公司,,,807.0,10836.0,3888209.2984,46658511.580800004,29725987.216800004,1567826.33,4541.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,34,4
+2021-02-05,武乡西山发电有限责任公司,,,905.0,10482.2999999999,4055099.2040000004,50485985.0898,30693981.6672,1559653.54,4580.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,35,5
+2021-02-07,武乡西山发电有限责任公司,,,1104.0,10448.2999999999,4092169.9792,53792234.40400001,29470224.1244,1650068.54,5421.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,37,5
+2021-02-08,武乡西山发电有限责任公司,,,1000.0,10147.7,4191644.2424,54271651.8643,30947179.870299995,1690179.13,5291.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,38,5
+2021-02-09,武乡西山发电有限责任公司,,,905.0,9737.9,4058573.1096000005,53494927.492800005,27758032.151200004,1629949.04,5440.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,39,5
+2021-02-10,武乡西山发电有限责任公司,,,877.0,9927.6,4274115.0,44006288.04,24977928.06,1709646.0,5295.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,40,5
+2021-02-11,武乡西山发电有限责任公司,,,911.0,10177.4,4127766.4350000005,41829147.315000005,23730479.099999998,1671160.5,4481.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,41,5
+2021-02-12,武乡西山发电有限责任公司,,,840.0,9844.1,4252642.6887,44524656.5841,22475814.3708,1707888.63,5243.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,42,6
+2021-02-13,武乡西山发电有限责任公司,,,794.0,9673.0,4268919.18,44563351.44,25891168.36,1735333.0,5028.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,43,6
+2021-02-14,武乡西山发电有限责任公司,,,859.0,9848.0,3880821.9696000004,40008313.2368,20261319.52,1558563.04,4589.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,44,6
+2021-02-15,武乡西山发电有限责任公司,,,834.0,9589.4,3855930.1651000003,39542798.0089,21964751.993100002,1561105.33,4791.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,45,6
+2021-02-16,武乡西山发电有限责任公司,,,900.0,9798.0,4170076.6543999994,50381665.416,30310129.1456,1622597.92,4815.39999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,46,6
+2021-02-17,武乡西山发电有限责任公司,,,1001.0,10102.1,4279478.14,49742831.46,28166451.18,1627178.0,5633.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,47,6
+2021-02-18,武乡西山发电有限责任公司,,,933.0,9927.4,4237673.154,48879929.9571,30723130.3665,1629874.29,5397.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,48,6
+2021-02-19,武乡西山发电有限责任公司,,,839.0,9709.9,3565662.2128999997,45971026.985199995,28785453.315299995,1530327.13,4974.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,49,7
+2021-02-20,武乡西山发电有限责任公司,,,838.0,10116.9,3402942.5056,48044387.318399996,29013713.590399995,1612768.96,4353.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,50,7
+2021-02-21,武乡西山发电有限责任公司,,,883.0,9829.5,3346790.0828,48837140.722799994,30884698.7738,1624655.38,4807.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,51,7
+2021-02-22,武乡西山发电有限责任公司,,,987.0,10059.5,3394228.2552,51712065.770399995,29167069.2714,1663837.38,4916.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,52,7
+2021-02-23,武乡西山发电有限责任公司,,,974.0,9715.5,3541737.6518999995,51596300.1589,27785181.2973,1662787.63,5132.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,53,7
+2021-02-24,武乡西山发电有限责任公司,,,889.0,9390.29999999999,3831837.0818,55093694.448,30619380.1836,1765823.54,5132.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,54,7
+2021-02-25,武乡西山发电有限责任公司,,,737.0,7117.1,3246928.7292,49604069.5956,28643697.9972,1607390.46,4901.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,55,7
+2021-02-26,武乡西山发电有限责任公司,,,0.0,0.0,3380917.134,50584960.16680001,30927341.9734,1609960.54,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,56,8
+2021-02-27,武乡西山发电有限责任公司,,,0.0,0.0,3479631.7669999995,52372504.1768,27837054.135999996,1618433.38,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,57,8
+2021-02-28,武乡西山发电有限责任公司,,,0.0,0.0,3791354.4936,57747945.758999996,34051980.173999995,1755256.71,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,58,8
+2021-03-01,武乡西山发电有限责任公司,,,0.0,0.0,3590799.807,54426265.64609999,32231703.0295,1709904.67,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,59,8
+2021-03-02,武乡西山发电有限责任公司,,,0.0,0.0,3452308.5861,51272563.8816,29716282.9971,1651822.29,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,60,8
+2021-03-03,武乡西山发电有限责任公司,,,0.0,0.0,3324282.066,48914436.114,26625916.3572,1582991.46,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,61,8
+2021-03-04,武乡西山发电有限责任公司,,,0.0,0.0,3330397.0148000005,47918916.2712,26303669.6266,1616697.58,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,62,8
+2021-03-05,武乡西山发电有限责任公司,,,367.0,7095.4,3546828.8800000004,47597176.845,27456255.705,1583405.75,2102.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,63,9
+2021-03-06,武乡西山发电有限责任公司,,,759.0,7086.1,5139240.2873,63472462.14609999,35879862.0796,1896398.63,4419.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,64,9
+2021-03-07,武乡西山发电有限责任公司,,,804.0,6379.1,5142893.3283,56176219.4322,36282829.854600005,1883843.71,4546.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,65,9
+2021-03-08,武乡西山发电有限责任公司,,,805.0,6118.9,5011575.5508,58945674.335599996,38293577.2856,1835741.96,4672.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,66,9
+2021-03-09,武乡西山发电有限责任公司,,,783.0,6144.0,4985780.4633,59591947.44230001,33001118.3047,1826293.21,4456.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,67,9
+2021-03-10,武乡西山发电有限责任公司,,,845.0,5542.3,4619686.9788,49343613.0924,30730961.206799995,1673799.63,4797.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,68,9
+2021-03-11,武乡西山发电有限责任公司,,,809.0,5587.3,4740944.1604,50845387.1976,28891677.130799998,1651896.92,4751.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,69,9
+2021-03-12,武乡西山发电有限责任公司,,,865.0,5479.7,4824692.2878,53088724.0037,30179990.055600002,1710883.79,4021.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,70,10
+2021-03-13,武乡西山发电有限责任公司,,,776.0,5489.9,4851558.8681,54584263.36269999,30512417.2715,1690438.63,5326.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,71,10
+2021-03-14,武乡西山发电有限责任公司,,,766.0,5049.59999999999,5213023.818,59500375.302,35071067.1342,1797594.42,3941.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,72,10
+2021-03-15,武乡西山发电有限责任公司,,,761.0,4530.41,4988745.7891999995,54753241.637099996,36572425.1166,1756600.63,4301.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,73,10
+2021-03-16,武乡西山发电有限责任公司,,,798.0,4576.26,4970398.0588,52249374.74959999,33709274.032,1719860.92,4615.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,74,10
+2021-03-17,武乡西山发电有限责任公司,,,885.0,4888.67999999999,4889241.6144,52755942.7344,35113644.3216,1709525.04,4905.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,75,10
+2021-03-18,武乡西山发电有限责任公司,,,797.0,5944.77,4713984.5594999995,53143973.2971,33146754.586799998,1654029.67,4921.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,76,10
+2021-03-19,武乡西山发电有限责任公司,,,879.0,6555.86999999999,5053651.275,56286603.6,36607721.25,1785742.5,4483.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,77,11
+2021-03-20,武乡西山发电有限责任公司,,,803.0,6250.31,3794374.2330000005,41555424.470300004,26546566.3931,1405323.79,4967.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,78,11
+2021-03-21,武乡西山发电有限责任公司,,,940.0,6179.2,4035078.824,46216063.530600004,29369609.4404,1441099.58,5302.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,79,11
+2021-03-22,武乡西山发电有限责任公司,,,939.0,6755.11,4031251.345,45311265.117800005,24392735.4112,1465909.58,5154.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,80,11
+2021-03-23,武乡西山发电有限责任公司,,,800.0,6594.5,4747984.6425,52058863.6425,31275870.367500003,1689674.25,4587.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,81,11
+2021-03-24,武乡西山发电有限责任公司,,,796.0,6396.15,4791991.7025,53484810.615,31139358.2675,1717559.75,4540.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,82,11
+2021-03-25,武乡西山发电有限责任公司,,,823.0,6451.44999999999,4349608.7387999995,47861342.2014,24626921.4204,1564607.46,4453.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,83,11
+2021-03-26,武乡西山发电有限责任公司,,,705.0,6371.1,4377602.6672,52159389.308800004,29527690.5776,1690194.08,4310.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,84,12
+2021-03-27,武乡西山发电有限责任公司,,,783.0,6454.9,4343841.6567,46572983.6233,28242926.5225,1591150.79,4438.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,85,12
+2021-03-28,武乡西山发电有限责任公司,,,734.0,6362.6,4225174.5556,45436392.0494,26754183.6599,1576557.67,4293.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,86,12
+2021-03-29,武乡西山发电有限责任公司,,,822.0,6371.0,4227613.5,47687480.28,26364935.099999998,1537314.0,4744.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,87,12
+2021-03-30,武乡西山发电有限责任公司,,,827.0,6175.9,4413366.3288,44612035.1628,27282628.2144,1543135.08,4696.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,88,12
+2021-03-31,武乡西山发电有限责任公司,,,0.0,0.0,4013388.2349,37093436.7165,21877695.4623,1351309.17,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,89,12
+2021-04-01,武乡西山发电有限责任公司,,,701.0,6303.5,5154366.266399999,46499298.11669999,29716178.6883,1571453.13,4122.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,90,12
+2021-04-02,武乡西山发电有限责任公司,,,664.0,5671.7,3832573.4039999996,31357418.759999998,16131649.8732,1161385.88,3937.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,91,13
+2021-04-03,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,92,13
+2021-04-04,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,93,13
+2021-04-05,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,94,13
+2021-04-06,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,95,13
+2021-04-07,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,96,13
+2021-04-08,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,97,13
+2021-04-09,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,98,14
+2021-04-10,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,99,14
+2021-04-11,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,100,14
+2021-04-12,武乡西山发电有限责任公司,,,0.0,0.0,421.7508,0.0,109.34280000000001,1562.04,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,101,14
+2021-04-13,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,102,14
+2021-04-14,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,103,14
+2021-04-18,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,107,15
+2021-04-19,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,108,15
+2021-04-20,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,109,15
+2021-04-21,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,110,15
+2021-04-22,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,111,15
+2021-04-23,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,112,16
+2021-04-24,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,113,16
+2021-04-25,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,114,16
+2021-04-26,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,115,16
+2021-01-01,武乡西山发电有限责任公司,,,893.0,0.0,1646120.25,24208941.810000002,16095398.0,731609.0,4689.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,0,0
+2021-01-02,武乡西山发电有限责任公司,,,1061.0,0.0,3143538.1854,45587935.62539999,27124622.738999996,1326387.42,5455.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,1,0
+2021-01-03,武乡西山发电有限责任公司,,,1053.0,0.0,3372902.9893999994,47546594.66149999,28088629.0966,1417186.13,4060.49999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,2,0
+2021-01-04,武乡西山发电有限责任公司,,,1237.0,0.0,3117649.5532,42355682.423599996,26323919.6584,1304455.88,5574.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,3,0
+2021-01-05,武乡西山发电有限责任公司,,,1082.0,0.0,3365171.8496,46903820.862399995,29299244.161599997,1390566.88,6363.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,4,0
+2021-01-06,武乡西山发电有限责任公司,,,1056.0,0.0,3077395.1976,42049326.18360001,28755987.912,1261227.54,5099.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,5,0
+2021-01-07,武乡西山发电有限责任公司,,,1111.0,0.0,3434851.7034,53714242.02240001,34255263.1416,1554231.54,5975.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,6,0
+2021-01-08,武乡西山发电有限责任公司,,,997.0,0.0,2071053.1215,43831015.1532,28103563.2669,1255183.71,5147.19999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,7,1
+2021-01-09,武乡西山发电有限责任公司,,,961.0,0.0,3311342.3112000003,42871848.5594,26766683.6822,1254296.33,4682.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,8,1
+2021-01-10,武乡西山发电有限责任公司,,,0.0,0.0,3939407.0568,52555965.4632,34996592.923200004,1526901.96,1116.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,9,1
+2021-01-11,武乡西山发电有限责任公司,,,0.0,0.0,3089672.4269,39853167.685499996,25847454.154999997,1202207.17,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,10,1
+2021-01-12,武乡西山发电有限责任公司,,,0.0,0.0,3084549.5332000004,41179950.6578,24518525.620200004,1214389.58,59.6999999999998,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,11,1
+2021-01-13,武乡西山发电有限责任公司,,,290.0,0.0,3215644.9845999996,41790573.46519999,27582803.3938,1281133.46,875.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,12,1
+2021-01-14,武乡西山发电有限责任公司,,,0.0,0.0,2764460.5828000004,36545939.488800004,22563045.503600005,1147079.08,752.899999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,13,1
+2021-01-15,武乡西山发电有限责任公司,,,0.0,0.0,3510708.2415,45005902.9077,29641391.544900004,1376748.33,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,14,2
+2021-01-16,武乡西山发电有限责任公司,,,0.0,0.0,3376101.742,44473647.9475,25982998.4067,1298500.67,59.1999999999998,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,15,2
+2021-01-17,武乡西山发电有限责任公司,,,294.0,0.0,3376101.742,44473647.9475,25982998.4067,1298500.67,1480.79999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,16,2
+2021-01-18,武乡西山发电有限责任公司,,,872.0,0.0,3234969.6876,44686228.1053,28537054.0299,1283718.13,5083.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,17,2
+2021-01-19,武乡西山发电有限责任公司,,,949.0,5487.1,3247532.4153,44517730.3467,28393795.0863,1263631.29,5665.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,18,2
+2021-01-20,武乡西山发电有限责任公司,,,1121.0,7225.8,3484155.896,37052657.893999994,18452625.6492,1340059.96,5126.29999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,19,2
+2021-01-21,武乡西山发电有限责任公司,,,1193.0,7738.2,3205619.8972,34630596.418400005,18317827.984,1237691.08,5775.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,20,2
+2021-01-22,武乡西山发电有限责任公司,,,1135.0,2777.8,3257990.3472,31899129.369599998,17578559.858400002,1215668.04,5375.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,21,3
+2021-01-23,武乡西山发电有限责任公司,,,1198.0,9044.7,3364815.1145999995,35034404.563999996,19999856.130599998,1260230.38,4063.29999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,22,3
+2021-01-24,武乡西山发电有限责任公司,,,1080.0,0.0,4155318.2384,44623156.3064,26901034.118,1550491.88,5003.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,23,3
+2021-01-25,武乡西山发电有限责任公司,,,975.0,0.0,3877265.0174,41093243.7346,21476300.654,1441362.46,4375.59999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,24,3
+2021-01-26,武乡西山发电有限责任公司,,,1079.0,0.0,3240269.2502,34866775.582,16952891.5904,1232041.54,5414.29999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,25,3
+2021-01-27,武乡西山发电有限责任公司,,,1064.0,0.0,17099.277,38144.541,31567.895999999997,65766.45,5067.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,26,3
+2021-01-28,武乡西山发电有限责任公司,,,1004.0,0.0,0.0,0.0,0.0,0.0,5491.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,27,3
+2021-01-29,武乡西山发电有限责任公司,,,1025.0,0.0,0.0,0.0,0.0,0.0,3703.59999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,28,4
+2021-01-30,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,1041.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,29,4
+2021-01-31,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,30,4
+2021-02-01,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,31,4
+2021-02-02,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,32,4
+2021-02-03,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,33,4
+2021-02-04,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,34,4
+2021-02-05,武乡西山发电有限责任公司,,,0.0,0.0,0.0,0.0,0.0,0.0,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,35,5
+2021-02-07,武乡西山发电有限责任公司,,,386.0,0.0,0.0,0.0,0.0,0.0,1904.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,37,5
+2021-02-08,武乡西山发电有限责任公司,,,889.0,0.0,0.0,0.0,0.0,0.0,4257.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,38,5
+2021-02-09,武乡西山发电有限责任公司,,,946.0,0.0,0.0,0.0,0.0,0.0,4645.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,39,5
+2021-02-10,武乡西山发电有限责任公司,,,904.0,0.0,314513.8935,11507761.774500001,1133111.6985,430840.95,4506.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,40,5
+2021-02-11,武乡西山发电有限责任公司,,,1018.0,0.0,1968451.1760999998,29238198.8827,11264487.620299999,1030602.71,5017.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,41,5
+2021-02-12,武乡西山发电有限责任公司,,,886.0,0.0,2263069.5381,36340825.6515,16260573.7182,1197391.29,4636.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,42,6
+2021-02-13,武乡西山发电有限责任公司,,,0.0,0.0,2582834.8032,41728924.7892,19451974.6116,1345226.46,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,43,6
+2021-02-14,武乡西山发电有限责任公司,,,0.0,0.0,2193404.8753,34219389.0131,18547340.7072,1136479.21,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,44,6
+2021-02-15,武乡西山发电有限责任公司,,,259.0,0.0,2253586.08,35400081.34,17582666.395,1173742.75,1568.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,45,6
+2021-02-16,武乡西山发电有限责任公司,,,1011.0,0.0,2299475.8225,42343715.405,25675494.2875,1191438.25,5329.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,46,6
+2021-02-17,武乡西山发电有限责任公司,,,1058.0,0.0,2502754.6368,46379171.8632,25953044.176400002,1303518.04,4863.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,47,6
+2021-02-18,武乡西山发电有限责任公司,,,1087.0,0.0,2408210.0535999998,44079069.8816,25532069.939999998,1260842.96,5018.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,48,6
+2021-02-19,武乡西山发电有限责任公司,,,941.0,0.0,2206099.3823,40429425.57830001,17519024.5065,1179732.29,4579.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,49,7
+2021-02-20,武乡西山发电有限责任公司,,,851.0,0.0,2108505.6720000003,39487625.668400005,16715764.4108,1171392.04,4158.39999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,50,7
+2021-02-21,武乡西山发电有限责任公司,,,894.0,0.0,0.0,0.0,0.0,0.0,4228.39999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,51,7
+2021-02-22,武乡西山发电有限责任公司,,,998.0,0.0,0.0,0.0,0.0,0.0,4867.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,52,7
+2021-02-23,武乡西山发电有限责任公司,,,1023.0,0.0,0.0,0.0,0.0,0.0,5339.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,53,7
+2021-02-24,武乡西山发电有限责任公司,,,1004.0,0.0,0.0,0.0,0.0,0.0,4744.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,54,7
+2021-02-25,武乡西山发电有限责任公司,,,865.0,0.0,0.0,0.0,0.0,0.0,5226.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,55,7
+2021-02-26,武乡西山发电有限责任公司,,,825.0,7314.7,0.0,0.0,0.0,0.0,5342.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,56,8
+2021-02-27,武乡西山发电有限责任公司,,,963.0,7281.2,0.0,0.0,0.0,0.0,4804.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,57,8
+2021-02-28,武乡西山发电有限责任公司,,,950.0,7126.7,0.0,0.0,0.0,0.0,4562.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,58,8
+2021-03-01,武乡西山发电有限责任公司,,,955.0,7132.9,0.0,0.0,0.0,0.0,5231.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,59,8
+2021-03-02,武乡西山发电有限责任公司,,,865.0,7050.0,0.0,0.0,0.0,0.0,5267.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,60,8
+2021-03-03,武乡西山发电有限责任公司,,,844.0,7067.6,0.0,0.0,0.0,0.0,4309.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,61,8
+2021-03-04,武乡西山发电有限责任公司,,,805.0,7034.3,431105.40959999996,12910472.5296,2206579.0044,567243.96,4516.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,62,8
+2021-03-05,武乡西山发电有限责任公司,,,873.0,0.0,3119664.3644999997,44152426.241100006,21299355.523900002,1223397.79,3739.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,63,9
+2021-03-06,武乡西山发电有限责任公司,,,751.0,0.0,4255754.7186,63688437.410399996,36855821.7522,1643148.54,3900.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,64,9
+2021-03-07,武乡西山发电有限责任公司,,,766.0,0.0,4107464.2686,58186433.982599996,31797165.477,1585893.54,4380.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,65,9
+2021-03-08,武乡西山发电有限责任公司,,,751.0,0.0,4149331.4464000002,54237689.6208,30152848.4432,1559899.04,3630.59999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,66,9
+2021-03-09,武乡西山发电有限责任公司,,,914.0,0.0,4177503.4000000004,58704916.2,28064656.3,1570490.0,4059.79999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,67,9
+2021-03-10,武乡西山发电有限责任公司,,,812.0,0.0,3439454.1066,46256595.3864,20853383.166,1354115.79,4376.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,68,9
+2021-03-11,武乡西山发电有限责任公司,,,0.0,0.0,3239107.3880000003,51752102.131,19935233.6516,1472321.54,122.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,69,9
+2021-03-12,武乡西山发电有限责任公司,,,0.0,0.0,2794410.7748,54015365.7214,27825196.651199996,1486388.71,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,70,10
+2021-03-13,武乡西山发电有限责任公司,,,0.0,0.0,2465033.4990000003,48860961.301800005,25130017.1844,1332450.54,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,71,10
+2021-03-14,武乡西山发电有限责任公司,,,0.0,0.0,3084542.9412000002,62801957.62539999,28424229.0388,1658356.42,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,72,10
+2021-03-15,武乡西山发电有限责任公司,,,0.0,0.0,3024394.956,61932887.8212,31487311.930799995,1680219.42,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,73,10
+2021-03-16,武乡西山发电有限责任公司,,,0.0,0.0,2670132.9432,52381296.536,22615880.12,1459089.04,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,74,10
+2021-03-17,武乡西山发电有限责任公司,,,0.0,0.0,2770619.0232,48893276.88,16501480.947,1358146.58,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,75,10
+2021-03-18,武乡西山发电有限责任公司,,,0.0,0.0,4763237.9526,55275352.842099994,25855353.7231,1556613.71,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,76,10
+2021-03-19,武乡西山发电有限责任公司,,,0.0,0.0,5218965.435,61469735.2725,26233077.915,1728134.25,0.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,77,11
+2021-03-20,武乡西山发电有限责任公司,,,430.0,0.0,4371078.5430000005,50126639.6982,15602527.8162,1481721.54,1765.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,78,11
+2021-03-21,武乡西山发电有限责任公司,,,1136.0,0.0,3726660.0,40946676.74999999,12985080.9375,1164581.25,5281.29999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,79,11
+2021-03-22,武乡西山发电有限责任公司,,,1061.0,0.0,4407307.0737,51185853.4401,21731078.4426,1454556.79,4294.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,80,11
+2021-03-23,武乡西山发电有限责任公司,,,840.0,0.0,3800317.2550000004,39584671.035,10940664.8925,1180222.75,4366.69999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,81,11
+2021-03-24,武乡西山发电有限责任公司,,,922.0,0.0,4820625.674000001,56059211.467,16187972.0214,1555040.54,4998.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,82,11
+2021-03-25,武乡西山发电有限责任公司,,,884.0,0.0,4831145.1559,48325536.5303,12521539.4857,1408497.13,4407.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,83,11
+2021-03-26,武乡西山发电有限责任公司,,,720.0,0.0,4859921.430000001,50264187.3825,24284607.392500002,1499975.75,4716.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,84,12
+2021-03-27,武乡西山发电有限责任公司,,,775.0,0.0,5370600.246,52007731.5714,13165228.1706,1451513.58,3063.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,85,12
+2021-03-28,武乡西山发电有限责任公司,,,767.0,0.0,5121468.1161,49531301.6688,15464265.8436,1426592.79,4125.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,86,12
+2021-03-29,武乡西山发电有限责任公司,,,854.0,0.0,5825784.929,55592353.171799995,21483579.4916,1596105.46,4333.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,87,12
+2021-03-30,武乡西山发电有限责任公司,,,892.0,0.0,5859357.387,53560536.1145,16541416.623300001,1502399.33,4450.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,88,12
+2021-03-31,武乡西山发电有限责任公司,,,812.0,0.0,4601002.8882,43228631.6558,12854214.283700002,1299718.33,3958.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,89,12
+2021-04-01,武乡西山发电有限责任公司,,,839.0,0.0,5794195.1875,83458275.5875,39028824.1875,2186488.75,4903.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,90,12
+2021-04-02,武乡西山发电有限责任公司,,,842.0,0.0,5034654.1824,74792147.87370001,36992908.2699,1966661.79,3255.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,91,13
+2021-04-03,武乡西山发电有限责任公司,,,830.0,3228.7,3739988.6972,52547563.2012,10151397.8924,1444011.08,5395.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,92,13
+2021-04-04,武乡西山发电有限责任公司,,,758.0,3108.5,3903138.3068999997,53477481.1704,19171736.8178,1495455.29,4053.8,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,93,13
+2021-04-05,武乡西山发电有限责任公司,,,793.0,1548.3,3574379.5058,49813464.1884,20050702.566400003,1424055.58,4310.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,94,13
+2021-04-06,武乡西山发电有限责任公司,,,812.0,0.0,3803471.0916,56479999.5838,18816359.0182,1546126.46,4167.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,95,13
+2021-04-07,武乡西山发电有限责任公司,,,852.0,110.4,4670608.9056,65105457.471999995,21389265.7836,1769170.04,4337.4,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,96,13
+2021-04-08,武乡西山发电有限责任公司,,,882.0,395.1,4652657.4236,56771980.822900005,19933131.6333,1593375.83,4487.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,97,13
+2021-04-09,武乡西山发电有限责任公司,,,940.0,223.71,3641797.7202,47099627.9955,20173265.3241,1433778.63,4521.0,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,98,14
+2021-04-10,武乡西山发电有限责任公司,,,788.0,414.5,4340535.75,54188162.099999994,20255833.5,1522995.0,3949.1,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,99,14
+2021-04-11,武乡西山发电有限责任公司,,,676.0,125.52,4745881.9056,63943567.9478,29302225.402000003,1797682.54,4358.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,100,14
+2021-04-12,武乡西山发电有限责任公司,,,777.0,0.0,3605394.4002999994,46494275.278,18138335.535099998,1392044.17,3741.3,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,101,14
+2021-04-13,武乡西山发电有限责任公司,,,908.0,0.0,3019690.0271999994,41768253.449999996,16311276.458399998,1237577.88,4559.89999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,102,14
+2021-04-14,武乡西山发电有限责任公司,,,892.0,0.0,3443466.0352,48464094.2376,19463653.7224,1345103.92,4524.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,103,14
+2021-04-18,武乡西山发电有限责任公司,,,805.0,0.0,2409459.728,53821306.674200006,16098202.8077,1505912.33,3705.39999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,107,15
+2021-04-19,武乡西山发电有限责任公司,,,901.0,0.0,1920147.5112,50813315.3883,15163517.8458,1411873.17,4589.9,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,108,15
+2021-04-20,武乡西山发电有限责任公司,,,847.0,0.0,1647741.8283999998,48538564.36879999,14005805.541399999,1396391.38,4713.2,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,109,15
+2021-04-21,武乡西山发电有限责任公司,,,910.0,0.0,1518627.9248,44065732.9776,16271013.479999999,1276157.92,4457.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,110,15
+2021-04-22,武乡西山发电有限责任公司,,,910.0,0.0,1865995.7040000001,49580196.9648,25266964.051200002,1382219.04,4857.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,111,15
+2021-04-23,武乡西山发电有限责任公司,,,978.0,0.0,2258921.9328,52867461.388799995,20895027.878399998,1448026.88,4662.7,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,112,16
+2021-04-24,武乡西山发电有限责任公司,,,1000.0,0.0,2233913.1464000004,52228323.8152,22678460.0432,1413869.08,5105.5,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,113,16
+2021-04-25,武乡西山发电有限责任公司,,,912.0,0.0,2370430.3608,48532163.8032,19648538.3664,1370190.96,5133.09999999999,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,114,16
+2021-04-26,武乡西山发电有限责任公司,,,913.0,0.0,2671895.8049,46606813.0303,24099710.4373,1316204.83,4615.6,煤粉锅炉,褐煤,18.643,抽凝式,空冷-直接空冷,2080.0,亚临界,600.0,115,16
+2022-01-01,国电电力邯郸东郊热电有限责任公司,6.583625,48.672,494.2,30829.0,2735017.128100003,17130731.6811,17097631.77349997,941229.6,2861.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,0,0
+2022-01-02,国电电力邯郸东郊热电有限责任公司,6.12745833333333,48.68,554.299999999999,32122.0,2980327.7680374966,19384388.495312467,18575442.97745003,992216.1,2536.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,1,0
+2022-01-03,国电电力邯郸东郊热电有限责任公司,6.291125,48.73575,558.299999999999,33451.0,2889570.2031125035,20908254.991812535,16958010.075587466,1016053.05,2911.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,2,0
+2022-01-04,国电电力邯郸东郊热电有限责任公司,6.46766666666667,48.9591666666667,529.7,33179.0,3075464.13435,19972321.274687532,15222576.489143718,979135.35,3023.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,3,0
+2022-01-05,国电电力邯郸东郊热电有限责任公司,6.53554166666667,48.5427083333333,563.9,29731.0,3029984.0812500035,17886452.604562532,14831149.478249967,996159.15,3191.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,4,0
+2022-01-06,国电电力邯郸东郊热电有限责任公司,6.39108333333333,50.5599583333333,561.0,32505.0,1601787.98154375,19685900.3215875,13263388.175537532,970119.15,3357.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,5,0
+2022-01-07,国电电力邯郸东郊热电有限责任公司,6.33704166666667,50.092125,570.0,33189.0,1628683.6503749967,18971293.316549968,14875241.32051875,998681.85,3231.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,6,0
+2022-01-08,国电电力邯郸东郊热电有限责任公司,6.44208333333333,49.314875,526.799999999999,31881.0,1639348.6717125,18616397.06491247,15719256.155531248,974497.65,2765.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,7,1
+2022-01-09,国电电力邯郸东郊热电有限责任公司,6.49783333333333,49.1723333333333,517.1,30799.0,1556235.385531247,19126833.10433128,13181898.226368751,957560.55,2574.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,8,1
+2022-01-10,国电电力邯郸东郊热电有限责任公司,6.355375,49.3857083333333,512.799999999999,29277.0,1650071.9959000032,19555622.28430003,14851365.1605,956263.2,2512.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,9,1
+2022-01-11,国电电力邯郸东郊热电有限责任公司,6.46695833333333,49.7215,521.2,32460.0,1914854.5524250031,18144255.635325,13537738.47852497,955973.4,2757.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,10,1
+2022-01-12,国电电力邯郸东郊热电有限责任公司,6.20904166666667,49.2301666666667,543.32,33593.0,2077554.7548437533,17890605.746406283,11490925.682031281,987528.75,3132.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,11,1
+2022-01-13,国电电力邯郸东郊热电有限责任公司,6.674125,49.2444166666667,512.52,33326.0,2298046.776618753,18326843.08295625,13313132.6360625,971672.85,2950.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,12,1
+2022-01-14,国电电力邯郸东郊热电有限责任公司,6.842125,48.6849583333333,495.42,31417.0,2566895.9019375,17538542.412606217,12254626.453125,956458.65,2755.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,13,1
+2022-01-15,国电电力邯郸东郊热电有限责任公司,6.70808333333333,48.1315,500.06,32434.0,2588338.310912497,19059747.667299967,11655282.108931283,950168.55,2834.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,14,2
+2022-01-16,国电电力邯郸东郊热电有限责任公司,6.65066666666667,48.5968333333333,527.929999999999,31986.0,2590335.7656,19436762.4906,13804298.581549967,973078.8,3182.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,15,2
+2022-01-17,国电电力邯郸东郊热电有限责任公司,6.7435,47.865375,496.5,32268.0,2528708.48218125,18063547.523362465,12494440.742531283,956802.15,3121.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,16,2
+2022-01-18,国电电力邯郸东郊热电有限责任公司,6.541375,48.284125,529.309999999999,31814.0,2995014.8749999963,20063666.61345,15859533.2505,991453.2,3241.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,17,2
+2022-01-19,国电电力邯郸东郊热电有限责任公司,6.38020833333333,49.4141666666667,552.01,30414.0,2777775.713393747,19979595.137818784,14661913.253056215,991811.85,3274.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,18,2
+2022-01-20,国电电力邯郸东郊热电有限责任公司,6.533125,48.4854166666667,544.0,32416.0,2798585.594887497,19637478.146756217,15583873.154849967,1005389.55,3594.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,19,2
+2022-01-21,国电电力邯郸东郊热电有限责任公司,6.42545833333333,49.16575,561.29,34300.0,3351808.6421250035,20410980.563174967,15485038.828893786,1028425.05,3891.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,20,2
+2022-01-22,国电电力邯郸东郊热电有限责任公司,6.23229166666667,49.1560833333333,574.0,38342.0,2360444.7696999963,21025403.460800033,15522795.357699966,1030724.4,4276.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,21,3
+2022-01-23,国电电力邯郸东郊热电有限责任公司,6.65379166666667,48.8349166666667,534.94,37444.0,1630307.3943625025,13840422.866243728,9414486.944581227,685315.05,3767.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,22,3
+2022-01-24,国电电力邯郸东郊热电有限责任公司,6.51416666666667,48.3299583333333,543.91,34539.0,2220025.338000003,14794227.913500024,10108020.150000025,747819.0,3175.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,23,3
+2022-01-25,国电电力邯郸东郊热电有限责任公司,6.35258333333333,48.64675,538.309999999999,36753.0,2673721.4928124966,20509762.247312535,16727053.5343125,981332.25,3860.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,24,3
+2022-01-26,国电电力邯郸东郊热电有限责任公司,6.47333333333333,48.91025,529.59,34148.0,3278235.9489687528,19080310.46941253,14951221.345637467,973191.45,3749.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,25,3
+2022-01-27,国电电力邯郸东郊热电有限责任公司,6.490125,48.614875,525.88,33630.0,3203240.6393874967,20639883.361887533,15674467.781937532,976386.9,3725.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,26,3
+2022-01-28,国电电力邯郸东郊热电有限责任公司,6.38833333333333,48.8905833333333,545.059999999999,34181.0,3679233.8821874997,20283909.777450033,17708466.7938375,995228.1,3866.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,27,3
+2022-01-29,国电电力邯郸东郊热电有限责任公司,6.71479166666667,48.774875,522.679999999999,30637.0,3547690.109049997,19940039.580800034,15090164.038425,967837.8,3395.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,28,4
+2022-01-30,国电电力邯郸东郊热电有限责任公司,6.52854166666667,49.3221666666667,509.69,34254.0,2936485.4276187527,21524374.59385628,20320312.783743747,959857.95,3101.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,29,4
+2022-01-31,国电电力邯郸东郊热电有限责任公司,6.77220833333333,48.2391666666667,516.51,32145.0,3370607.9968000036,22535055.393600002,17799155.449600033,982636.8,2985.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,30,4
+2022-02-01,国电电力邯郸东郊热电有限责任公司,7.96458333333333,47.77675,500.46,25687.0,2926894.282987497,18201821.080668718,15532011.84465,958825.35,2662.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,31,4
+2022-02-02,国电电力邯郸东郊热电有限责任公司,7.85920833333333,47.7384166666667,477.03,29061.0,2598615.595031253,18420381.7261875,14871386.777156219,935412.75,2821.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,32,4
+2022-02-03,国电电力邯郸东郊热电有限责任公司,7.92208333333333,47.8017916666667,439.93,29598.0,2895372.8275687527,18387789.20242503,13452034.16579997,908839.35,2779.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,33,4
+2022-02-04,国电电力邯郸东郊热电有限责任公司,7.95791666666667,47.9513333333333,452.76,28709.0,2677504.2384,16718952.01420003,13304352.146599969,911025.6,2523.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,34,4
+2022-02-05,国电电力邯郸东郊热电有限责任公司,7.041375,48.9595833333333,508.35,30133.0,2658877.711875,17901114.80914997,13039780.875449998,920823.45,2884.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,35,5
+2022-02-06,国电电力邯郸东郊热电有限责任公司,7.22279166666667,48.635,485.41,27635.0,3017628.536325003,16802053.695375033,13080538.31955003,916121.7,2902.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,36,5
+2022-02-07,国电电力邯郸东郊热电有限责任公司,7.29516666666667,48.27625,469.75,28259.0,3008584.779887503,17422177.26627497,13780363.1012625,917169.9,2939.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,37,5
+2022-02-08,国电电力邯郸东郊热电有限责任公司,7.343375,48.6980833333333,452.87,26685.0,2833124.1805999973,17898368.84080003,13135252.9098,886401.6,2556.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,38,5
+2022-02-09,国电电力邯郸东郊热电有限责任公司,7.25566666666667,49.0221666666667,470.87,26037.0,3004082.511624997,18003675.63117503,13215204.758925,906835.8,2691.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,39,5
+2022-02-10,国电电力邯郸东郊热电有限责任公司,7.26433333333333,48.5634166666667,490.75,25530.0,2598803.287649997,18417085.90042503,14256376.36829997,928945.8,2901.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,40,5
+2022-02-11,国电电力邯郸东郊热电有限责任公司,7.39541666666667,48.3235,467.5,24359.0,2238844.411125,17722626.710774973,13848122.14590003,885137.4,2790.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,41,5
+2022-02-12,国电电力邯郸东郊热电有限责任公司,7.7305,48.35575,446.31,24180.0,2293686.737881253,17489375.10748747,10245556.40480003,878793.15,2766.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,42,6
+2022-02-13,国电电力邯郸东郊热电有限责任公司,7.92291666666667,48.6169583333333,466.12,25274.0,2790600.4974374967,17689714.849124968,13014614.138625,904216.5,3054.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,43,6
+2022-02-14,国电电力邯郸东郊热电有限责任公司,7.76075,48.3719166666667,464.96,29338.0,2637664.7138187527,17597243.556418717,14724993.340574998,898221.45,2533.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,44,6
+2022-02-15,国电电力邯郸东郊热电有限责任公司,7.54416666666667,49.09525,466.4,27394.0,2609684.100825,18243267.229243718,13906372.68376875,898496.85,2611.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,45,6
+2022-02-16,国电电力邯郸东郊热电有限责任公司,7.39016666666667,48.5450833333333,493.26,27639.0,2669197.211468747,18404261.11276875,12674606.687575031,930371.55,2905.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,46,6
+2022-02-17,国电电力邯郸东郊热电有限责任公司,7.095625,48.0490833333333,495.53,30228.0,2805222.835100003,19176364.071500033,15057088.242600001,924087.9,2894.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,47,6
+2022-02-18,国电电力邯郸东郊热电有限责任公司,7.25391666666667,48.5818333333333,524.59,28126.0,2600061.3698749966,16555637.213625,14797706.395087501,943475.55,3030.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,48,6
+2022-02-19,国电电力邯郸东郊热电有限责任公司,7.84333333333333,47.6912083333333,466.49,27575.0,2301746.09671875,15674479.37503125,13038668.05534378,927422.25,2470.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,49,7
+2022-02-20,国电电力邯郸东郊热电有限责任公司,7.286,48.1962083333333,503.46,27424.0,2546603.767625003,17020103.467062533,13695877.899687532,956680.5,2799.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,50,7
+2022-02-21,国电电力邯郸东郊热电有限责任公司,6.92375,48.359125,521.02,26965.0,2504841.887975003,19672796.69465625,12787723.044212468,948743.85,3098.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,51,7
+2022-02-22,国电电力邯郸东郊热电有限责任公司,7.074875,48.134875,528.08,26886.0,2669078.7641249965,19535552.767125,16420660.238249967,960633.0,3317.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,52,7
+2022-02-23,国电电力邯郸东郊热电有限责任公司,7.18575,48.1384583333333,533.95,25022.0,2942002.8470000033,14261735.77502497,11800455.2307375,962487.3,3174.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,53,7
+2022-02-24,国电电力邯郸东郊热电有限责任公司,7.11133333333333,48.621625,505.76,26727.0,2607723.663000003,11246414.25195,8122686.01875,923360.4,3079.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,54,7
+2022-02-25,国电电力邯郸东郊热电有限责任公司,7.565875,47.5231666666667,445.43,21930.0,2961022.313281247,9010216.194518723,5321382.659931253,860085.15,2580.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,55,7
+2022-02-26,国电电力邯郸东郊热电有限责任公司,7.187625,47.9505833333333,491.01,16645.0,2754781.512649997,14877819.764125032,8673622.711437497,902073.3,2733.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,56,8
+2022-02-27,国电电力邯郸东郊热电有限责任公司,7.57033333333333,48.1912083333333,465.33,17884.0,2600965.778750003,17099355.52359375,16097279.08250003,873491.25,2862.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,57,8
+2022-02-28,国电电力邯郸东郊热电有限责任公司,7.311375,48.955875,487.21,15457.0,3192469.828474997,17364964.871125028,15692231.913574973,873223.8,3029.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,58,8
+2022-01-01,国电电力邯郸东郊热电有限责任公司,7.38416666666667,49.5705833333333,536.5,324.0,522499.50410000037,20913074.589224998,18063098.03285004,1095004.2,2752.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,0,0
+2022-01-02,国电电力邯郸东郊热电有限责任公司,6.91820833333333,48.5570833333333,567.9,1008.0,504624.28861875035,22831081.525031287,17214914.398593713,1113858.45,3086.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,1,0
+2022-01-03,国电电力邯郸东郊热电有限责任公司,7.14291666666667,49.1849583333333,566.2,1296.0,510880.70236875006,21696752.838818714,17156023.29634379,1111516.35,2914.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,2,0
+2022-01-04,国电电力邯郸东郊热电有限责任公司,7.16354166666667,49.0995,563.5,1248.0,516677.1747437496,20008204.23753129,14756517.03444375,1112429.55,2847.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,3,0
+2022-01-05,国电电力邯郸东郊热电有限责任公司,6.97558333333333,49.745875,609.299999999999,1362.0,556264.9294249996,21403623.317025002,16485107.7948,1141153.8,3014.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,4,0
+2022-01-06,国电电力邯郸东郊热电有限责任公司,7.258,50.7244166666667,577.2,1236.0,614058.4140624997,19629246.15609375,11106347.089062503,1112256.75,3353.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,5,0
+2022-01-07,国电电力邯郸东郊热电有限责任公司,7.08270833333333,50.2597083333333,579.0,1035.0,591898.4109749999,20205934.32473746,16008680.42345625,1113637.65,3252.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,6,0
+2022-01-08,国电电力邯郸东郊热电有限责任公司,7.20916666666667,49.8275,542.9,1323.0,549260.2366999997,19381904.542425003,16641247.067025,1092330.6,2548.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,7,1
+2022-01-09,国电电力邯郸东郊热电有限责任公司,7.21516666666667,49.6014583333333,538.9,1305.0,613015.0746499996,19098711.81042496,15058701.308875034,1083863.4,2394.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,8,1
+2022-01-10,国电电力邯郸东郊热电有限责任公司,7.948,49.4595833333333,483.4,1335.0,533604.4290000004,18648047.8125,13221801.023400037,1037804.4,2303.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,9,1
+2022-01-11,国电电力邯郸东郊热电有限责任公司,7.34108333333333,50.1724166666667,536.1,1299.0,570983.4182249996,18557051.452087536,12536921.802487535,1084317.3,2819.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,10,1
+2022-01-12,国电电力邯郸东郊热电有限责任公司,7.00108333333333,49.5641666666667,558.85,1368.0,572220.81135,19305933.296381287,13029693.991012536,1094112.45,2612.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,11,1
+2022-01-13,国电电力邯郸东郊热电有限责任公司,7.16379166666667,49.7675833333333,527.32,1398.0,522782.7268125004,19566646.63511254,12075945.728962502,1072833.3,2820.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,12,1
+2022-01-14,国电电力邯郸东郊热电有限责任公司,7.41929166666667,49.6182916666667,512.83,1536.0,510172.60087500035,18452167.831125002,11900458.884825,1066098.6,2820.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,13,1
+2022-01-15,国电电力邯郸东郊热电有限责任公司,7.446625,49.474,517.19,1242.0,534906.9717937496,20030090.891943783,14637203.516043715,1075279.95,2986.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,14,2
+2022-01-16,国电电力邯郸东郊热电有限责任公司,7.3925,49.4584583333333,542.34,1116.0,482063.95743749966,18445420.84078125,13908794.630962502,1090436.85,3132.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,15,2
+2022-01-17,国电电力邯郸东郊热电有限责任公司,7.067125,49.1277083333333,513.14,1362.0,520446.3891375003,19262814.624374963,12573344.29404375,1064488.95,2912.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,16,2
+2022-01-18,国电电力邯郸东郊热电有限责任公司,7.0345,49.3475416666667,544.11,1305.0,538006.4393937503,20715591.824249998,16242687.937037462,1092306.45,3070.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,17,2
+2022-01-19,国电电力邯郸东郊热电有限责任公司,7.12033333333333,50.0755416666667,565.96,1161.0,537737.6396000003,21018693.162950035,16019073.8352,1087070.7,3297.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,18,2
+2022-01-20,国电电力邯郸东郊热电有限责任公司,7.12808333333333,49.8685833333333,581.34,1329.0,490588.4493000003,21088020.56776875,17167719.7342125,1113286.95,3359.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,19,2
+2022-01-21,国电电力邯郸东郊热电有限责任公司,6.8555,50.4144166666667,617.179999999999,1383.0,564584.8107000004,21273285.1959,15161065.961400002,1150941.6,4019.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,20,2
+2022-01-22,国电电力邯郸东郊热电有限责任公司,6.9135,50.3960833333333,585.25,1368.0,603098.6101874999,20594623.237218786,15975003.130874999,1115300.25,3923.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,21,3
+2022-01-23,国电电力邯郸东郊热电有限责任公司,7.263125,49.9262916666667,550.24,1242.0,619049.8645125,20164840.912712537,14961726.571849963,1102247.7,3743.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,22,3
+2022-01-24,国电电力邯郸东郊热电有限责任公司,7.422375,49.5227916666667,550.61,1362.0,575400.9643749996,19019544.916875,15533857.524999963,1098705.0,3852.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,23,3
+2022-01-25,国电电力邯郸东郊热电有限责任公司,7.22533333333333,49.6431666666667,551.21,1131.0,609178.8060249997,19699989.38487504,16831305.959874965,1110458.1,3621.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,24,3
+2022-01-26,国电电力邯郸东郊热电有限责任公司,7.353625,49.324125,545.59,891.0,581550.3526875,20031667.179125037,15342682.81678125,1098819.75,3735.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,25,3
+2022-01-27,国电电力邯郸东郊热电有限责任公司,7.15091666666667,49.1650833333333,537.33,777.0,481686.6702624996,19125421.194225002,15563215.802675035,1079510.7,3446.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,26,3
+2022-01-28,国电电力邯郸东郊热电有限责任公司,6.8765,49.420125,554.88,558.0,484194.6751999997,20708707.395199966,17522717.3664,1093401.6,3721.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,27,3
+2022-01-29,国电电力邯郸东郊热电有限责任公司,7.11425,49.561625,544.47,399.0,537232.9223250003,21009499.554375,16887900.2122125,1083312.9,3142.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,28,4
+2022-01-30,国电电力邯郸东郊热电有限责任公司,7.135,49.3922916666667,526.919999999999,258.0,544311.9382812496,22470498.67173121,21462275.841062535,1077400.95,2820.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,29,4
+2022-01-31,国电电力邯郸东郊热电有限责任公司,7.262,48.929,528.13,210.0,516538.56051874964,21739696.648037534,19529926.745449968,1081850.55,2966.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,30,4
+2022-02-01,国电电力邯郸东郊热电有限责任公司,6.96533333333333,48.8650416666667,543.6,207.0,456982.89193125005,22658156.512743752,18959231.440599967,1089026.85,2895.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,31,4
+2022-02-02,国电电力邯郸东郊热电有限责任公司,7.029,49.367125,534.4,186.0,450522.06999999966,20766478.741718788,17192639.756593715,1089972.75,2930.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,32,4
+2022-02-03,国电电力邯郸东郊热电有限责任公司,7.33779166666667,48.9295833333333,494.86,204.0,446106.4091750004,20998275.945324965,16491139.075599965,1060159.8,2937.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,33,4
+2022-02-04,国电电力邯郸东郊热电有限责任公司,7.606125,48.940875,493.99,282.0,451203.3953999999,18261159.9542625,15041701.924349997,1059162.9,2867.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,34,4
+2022-02-05,国电电力邯郸东郊热电有限责任公司,7.32708333333333,49.117375,521.49,285.0,452507.5864125,18874778.033025034,15142799.572874999,1084824.9,2916.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,35,5
+2022-02-06,国电电力邯郸东郊热电有限责任公司,7.405,49.0089583333333,503.13,363.0,437423.70110625,16279939.868268786,14998746.19815,1059457.95,2947.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,36,5
+2022-02-07,国电电力邯郸东郊热电有限责任公司,7.54416666666667,48.6474166666667,484.85,363.0,431048.91505624965,19341657.906793784,15476256.080374965,1046341.05,2754.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,37,5
+2022-02-08,国电电力邯郸东郊热电有限责任公司,7.43733333333333,48.8065833333333,481.92,603.0,424263.33298124967,19542983.472225,14254098.878643787,1036790.55,2485.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,38,5
+2022-02-09,国电电力邯郸东郊热电有限责任公司,7.30508333333333,49.2363333333333,488.17,681.0,429392.0359999996,18687686.803862534,15564076.1694,1038851.7,2834.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,39,5
+2022-02-10,国电电力邯郸东郊热电有限责任公司,7.32295833333333,49.1267083333333,508.89,591.0,467231.6268812504,19085674.503687467,15844285.542643787,1062997.35,3172.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,40,5
+2022-02-11,国电电力邯郸东郊热电有限责任公司,7.399125,49.4087083333333,497.45,735.0,457620.64509375,18210299.436056282,16337917.965937497,1059613.65,2835.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,41,5
+2022-02-12,国电电力邯郸东郊热电有限责任公司,7.651625,49.1164583333333,474.04,621.0,459402.8121,19392572.728299964,12098998.724499967,1043504.4,2787.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,42,6
+2022-02-13,国电电力邯郸东郊热电有限责任公司,7.57429166666667,49.7810833333333,491.41,594.0,478482.80068749964,20952798.53625,15661105.029062463,1061035.5,2915.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,43,6
+2022-02-14,国电电力邯郸东郊热电有限责任公司,7.48291666666667,49.330375,491.96,651.0,450041.75379999966,20814033.861800034,16321119.962300034,1059337.2,2555.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,44,6
+2022-02-15,国电电力邯郸东郊热电有限责任公司,7.84991666666667,49.334625,444.04,474.0,427534.33889374963,19103118.022887465,14151033.28321875,1021689.15,2447.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,45,6
+2022-02-16,国电电力邯郸东郊热电有限责任公司,7.98779166666667,49.2019166666667,420.1,1074.0,415051.5220500003,16672261.617,12768894.278249966,991069.2,2350.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,46,6
+2022-02-17,国电电力邯郸东郊热电有限责任公司,7.57216666666667,49.3595,469.32,1362.0,407286.8873499996,20487041.491262466,15372264.8499,1039439.1,2623.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,47,6
+2022-02-18,国电电力邯郸东郊热电有限责任公司,7.40366666666667,49.193625,531.28,1413.0,450197.39160000003,19084432.954399962,16640478.342400035,1088419.2,2724.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,48,6
+2022-02-19,国电电力邯郸东郊热电有限责任公司,7.86708333333333,48.7504166666667,497.11,1317.0,438781.3361750003,18524641.418237463,15019805.590562465,1065218.7,2409.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,49,7
+2022-02-20,国电电力邯郸东郊热电有限责任公司,7.48166666666667,49.7197083333333,460.91,1281.0,450090.8286874996,20267621.490681287,15308393.941387502,1079138.85,2916.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,50,7
+2022-02-21,国电电力邯郸东郊热电有限责任公司,7.09625,49.3365833333333,482.89,1317.0,455732.38306250033,20802672.908499964,14186448.3345,1083679.5,2996.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,51,7
+2022-02-22,国电电力邯郸东郊热电有限责任公司,7.47125,49.3939166666667,490.45,1314.0,440957.9504999999,21093570.737649962,16571767.885124998,1082105.4,3209.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,52,7
+2022-02-23,国电电力邯郸东郊热电有限责任公司,7.264125,49.4606666666667,494.54,1407.0,445875.54478125,17576300.575468786,11897291.759281214,1071494.25,2868.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,53,7
+2022-02-24,国电电力邯郸东郊热电有限责任公司,7.268875,49.3276666666667,527.429999999999,1200.0,446994.4862125004,14920990.249668753,7393022.176762501,1059437.85,2921.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,54,7
+2022-02-25,国电电力邯郸东郊热电有限责任公司,7.35941666666667,48.7640416666667,473.06,1368.0,412923.7996875,13134177.789749999,7171558.1222625,1024307.1,2584.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,55,7
+2022-02-26,国电电力邯郸东郊热电有限责任公司,7.43295833333333,48.9334583333333,509.18,1341.0,433125.28201250033,16875548.1722625,9153850.63635,1037322.3,2545.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,56,8
+2022-02-27,国电电力邯郸东郊热电有限责任公司,7.471875,48.9930416666667,500.18,1269.0,362976.65971875004,20013105.265562467,17941701.206975035,1035227.55,2825.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,57,8
+2022-02-28,国电电力邯郸东郊热电有限责任公司,7.4515,49.3599583333333,497.76,1236.0,368045.10033125035,20026464.281287502,18752109.726425033,1027222.05,2632.0,煤粉锅炉,低挥发分烟煤,19.087,抽凝式,水冷-闭式循环,1125.0,超超临界,350.0,58,8
+2022-05-01,建投遵化热电有限责任公司,7.79583333333333,52.3208333333333,0.0,0.0,1467474.9375,10633207.093749974,10554531.28125,820965.0,1889.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,120,17
+2022-05-02,建投遵化热电有限责任公司,7.29583333333333,53.1458333333333,0.0,0.0,1558803.2250000031,13285555.50000003,10749050.325,907380.0,2622.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,121,17
+2022-05-03,建投遵化热电有限责任公司,7.65,51.8416666666667,0.0,0.0,1427658.7999999975,11118511.600000026,9591218.800000025,771360.0,2233.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,122,17
+2022-05-04,建投遵化热电有限责任公司,7.4625,51.8083333333333,0.0,0.0,1499974.6124999975,11645369.775,10075160.062500026,780390.0,2203.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,123,17
+2022-05-05,建投遵化热电有限责任公司,7.19583333333333,52.3541666666667,0.0,0.0,1724198.625000003,12270595.218750028,11934528.75000003,870075.0,2524.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,124,17
+2022-05-06,建投遵化热电有限责任公司,7.43333333333333,51.4625,0.0,0.0,1411858.8749999972,11690776.500000026,11802677.625,816300.0,2343.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,125,17
+2022-05-07,建投遵化热电有限责任公司,7.33333333333333,51.025,0.0,0.0,1478429.3562500027,13120515.887499973,10682163.231249973,804405.0,2278.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,126,18
+2022-05-08,建投遵化热电有限责任公司,7.8625,51.8541666666667,218.196,0.0,1612296.400000003,15716014.187500028,11246965.337500028,845610.0,1120.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,127,18
+2022-05-09,建投遵化热电有限责任公司,19.8875,34.925,444.755999999999,0.0,17173.4625,162230.4374999999,10646.8875,26370.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,128,18
+2022-05-10,建投遵化热电有限责任公司,19.9125,32.6125,552.114,0.0,298991.77499999997,-56243.74999999991,71429.56249999991,269970.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,129,18
+2022-05-11,建投遵化热电有限责任公司,20.1,22.85,481.541999999999,0.0,206312.76249999943,-24179.937500000055,47133.84999999995,163470.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,130,18
+2022-05-12,建投遵化热电有限责任公司,20.2166666666667,19.625,439.788,0.0,17648.40000000001,-5047.34999999999,6248.550000000009,27720.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,131,18
+2022-05-13,建投遵化热电有限责任公司,20.2708333333333,18.6375,495.702,0.0,31957.649999999987,-7148.699999999983,5224.0500000000175,50760.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,132,18
+2022-05-14,建投遵化热电有限责任公司,20.2375,21.2458333333333,486.624,0.0,30418.40000000002,-5460.75,2528.1249999999986,48540.0,121.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,133,19
+2022-05-15,建投遵化热电有限责任公司,13.3916666666667,39.2,460.524,0.0,959057.737499998,51837095.83124998,3795537.5624999977,602865.0,2251.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,134,19
+2022-05-16,建投遵化热电有限责任公司,7.27916666666667,53.1041666666667,505.577999999999,0.0,1284632.2874999999,13290125.681249999,12581258.13124997,912705.0,2543.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,135,19
+2022-05-17,建投遵化热电有限责任公司,7.7,53.7666666666667,432.45,0.0,1218806.3999999973,11359656.524999972,10448612.343749972,816165.0,2432.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,136,19
+2022-05-18,建投遵化热电有限责任公司,7.14166666666667,52.8166666666667,509.586,0.0,1536794.100000003,12985017.52499997,12006854.775,892620.0,2810.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,137,19
+2022-05-19,建投遵化热电有限责任公司,7.0125,52.4875,514.404,0.0,1543540.349999997,13968399.22499997,12565112.175,904860.0,2972.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,138,19
+2022-05-20,建投遵化热电有限责任公司,7.04166666666667,53.2083333333333,514.433999999999,0.0,1646020.137500003,12288294.01250003,12054443.55,906690.0,2623.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,139,19
+2022-05-21,建投遵化热电有限责任公司,7.24166666666667,53.2708333333333,520.625999999999,0.0,1834038.28125,15333336.343749968,10879243.37499997,931575.0,2759.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,140,20
+2022-05-22,建投遵化热电有限责任公司,7.12083333333333,52.9291666666667,500.04,0.0,1605393.0,13517632.03125,11607140.03750003,891885.0,2545.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,141,20
+2022-05-23,建投遵化热电有限责任公司,6.71666666666667,53.5291666666667,584.885999999999,0.0,2157874.400000003,14459759.600000033,13718511.399999967,1000560.0,3294.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,142,20
+2022-05-24,建投遵化热电有限责任公司,7.19166666666667,53.1958333333333,514.488,0.0,1986169.249999997,12690907.5,11200320.87499997,921300.0,2633.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,143,20
+2022-05-25,建投遵化热电有限责任公司,7.3375,52.1625,486.473999999999,0.0,1445913.43125,13315130.78750003,11269736.368749972,867765.0,2694.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,144,20
+2022-05-26,建投遵化热电有限责任公司,7.24583333333333,52.0875,501.365999999999,0.0,1588447.749999997,13025572.25000003,11784057.12500003,902100.0,2619.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,145,20
+2022-05-27,建投遵化热电有限责任公司,7.35833333333333,52.2875,467.105999999999,0.0,1470322.900000003,12772123.2,11011557.550000029,865320.0,2510.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,146,20
+2022-05-28,建投遵化热电有限责任公司,7.17083333333333,53.2458333333333,504.9,0.0,1582242.69375,13901435.38125003,13533750.11249997,925965.0,2753.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,147,21
+2022-05-29,建投遵化热电有限责任公司,7.47083333333333,53.3041666666667,462.822,0.0,1360782.9000000001,12087713.925,11040212.53125,861255.0,1163.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,148,21
+2022-05-30,建投遵化热电有限责任公司,19.5541666666667,39.675,528.96,0.0,47461.5,19104.000000000022,55192.65000000002,71640.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,149,21
+2022-05-31,建投遵化热电有限责任公司,19.9416666666667,28.0333333333333,672.18,0.0,35543.8125,-2320.499999999998,4574.062500000002,53550.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,150,21
+2022-05-01,建投遵化热电有限责任公司,20.5125,13.15,0.0,0.0,13554.474999999979,10902.512499999979,-91961.48750000022,64290.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,120,17
+2022-05-02,建投遵化热电有限责任公司,20.4166666666667,15.525,0.0,0.0,15078.075000000024,10210.349999999977,-99818.04375000001,71235.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,121,17
+2022-05-03,建投遵化热电有限责任公司,19.4791666666667,22.1291666666667,0.0,0.0,15582.449999999975,87606.675,-90223.57500000024,71370.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,122,17
+2022-05-04,建投遵化热电有限责任公司,20.0958333333333,26.2583333333333,0.0,0.0,15802.287500000026,9930.231249999975,-76551.9375,73785.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,123,17
+2022-05-05,建投遵化热电有限责任公司,20.15,23.0625,0.0,0.0,15610.393749999976,5551.043750000003,-67747.26875000002,73605.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,124,17
+2022-05-06,建投遵化热电有限责任公司,20.3083333333333,15.3708333333333,0.0,0.0,12567.774999999981,4892.987499999998,-54965.38749999998,59610.0,0.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,125,17
+2022-05-07,建投遵化热电有限责任公司,19.8833333333333,17.375,0.0,0.0,61896.57500000005,2129060.1312500043,-74318.72499999996,128505.0,426.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,126,18
+2022-05-08,建投遵化热电有限责任公司,10.775,35.9416666666667,218.196,0.0,784440.7312499977,91553788.6875,4867027.706249998,676485.0,1873.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,127,18
+2022-05-09,建投遵化热电有限责任公司,7.15833333333333,44.4083333333333,444.755999999999,0.0,761011.4062500002,10812957.1875,10941660.0,768375.0,2350.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,128,18
+2022-05-10,建投遵化热电有限责任公司,6.43333333333333,44.4083333333333,552.114,0.0,1208959.375000003,13060109.1375,13143434.33749997,892770.0,2636.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,129,18
+2022-05-11,建投遵化热电有限责任公司,6.62916666666667,43.9375,481.541999999999,0.0,1065257.8125,12097781.25,11559609.375,806250.0,2432.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,130,18
+2022-05-12,建投遵化热电有限责任公司,6.60416666666667,43.6041666666667,439.788,0.0,906076.9374999974,11889497.375000026,10517438.012499975,757695.0,2099.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,131,18
+2022-05-13,建投遵化热电有限责任公司,6.25416666666667,43.5041666666667,495.702,0.0,1045387.6124999973,11601846.9,11313310.312499972,823410.0,2340.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,132,18
+2022-05-14,建投遵化热电有限责任公司,6.375,44.5333333333333,486.624,0.0,1115339.4999999972,12963525.0,11316374.750000028,816600.0,2737.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,133,19
+2022-05-15,建投遵化热电有限责任公司,6.4375,44.5416666666667,460.524,0.0,1013003.2124999999,11419033.21875,11519457.356250027,808785.0,2461.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,134,19
+2022-05-16,建投遵化热电有限责任公司,6.45,45.4916666666667,505.577999999999,0.0,1076847.181249997,13573875.95625,12846761.7375,861765.0,2615.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,135,19
+2022-05-17,建投遵化热电有限责任公司,6.98333333333333,46.1166666666667,432.45,0.0,1036494.3749999973,10744881.656250026,11179945.218749974,792225.0,2593.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,136,19
+2022-05-18,建投遵化热电有限责任公司,6.39166666666667,44.9333333333333,509.586,0.0,1116488.5187500028,12587676.606250029,12041532.75625003,866895.0,2871.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,137,19
+2022-05-19,建投遵化热电有限责任公司,6.39583333333333,44.4666666666667,514.404,0.0,1025048.94375,12634645.07499997,13725779.356250029,871455.0,2637.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,138,19
+2022-05-20,建投遵化热电有限责任公司,6.225,45.175,514.433999999999,0.0,947846.3312499971,11864780.487500029,13417466.993750028,862005.0,2682.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,139,19
+2022-05-21,建投遵化热电有限责任公司,6.45833333333333,45.2041666666667,520.625999999999,0.0,1083043.324999997,13780173.225,12306800.18749997,898170.0,2581.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,140,20
+2022-05-22,建投遵化热电有限责任公司,6.3375,45.0166666666667,500.04,0.0,993179.775,13960475.72499997,12704830.775000028,866460.0,2632.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,141,20
+2022-05-23,建投遵化热电有限责任公司,5.84583333333333,45.6333333333333,584.885999999999,0.0,1171174.3750000033,15705675.781249968,14886178.59375,974625.0,3187.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,142,20
+2022-05-24,建投遵化热电有限责任公司,6.16666666666667,45.575,514.488,0.0,1142938.499999997,12661819.50000003,12026025.0,894960.0,2719.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,143,20
+2022-05-25,建投遵化热电有限责任公司,6.29583333333333,44.4125,486.473999999999,0.0,1034655.8062499999,13005627.043750029,12393446.79375,854205.0,2599.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,144,20
+2022-05-26,建投遵化热电有限责任公司,6.2375,44.4583333333333,501.365999999999,0.0,1026356.3437500001,13590386.218749972,13684386.906249972,874425.0,2794.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,145,20
+2022-05-27,建投遵化热电有限责任公司,6.32916666666667,44.7416666666667,467.105999999999,0.0,1020390.3750000028,11739192.375000028,11013178.874999972,836100.0,2401.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,146,20
+2022-05-28,建投遵化热电有限责任公司,6.18333333333333,45.5875,504.9,0.0,1169393.337499997,13930482.08749997,13356979.356250029,895515.0,2611.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,147,21
+2022-05-29,建投遵化热电有限责任公司,6.425,45.5458333333333,462.822,0.0,1124242.8750000028,12670426.687499972,11299339.181249972,837945.0,2846.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,148,21
+2022-05-30,建投遵化热电有限责任公司,6.1625,45.175,528.96,0.0,1296292.500000003,14424304.1625,14341951.4625,915030.0,2981.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,149,21
+2022-05-31,建投遵化热电有限责任公司,5.57083333333333,46.1,672.18,0.0,1554891.4249999968,17580484.69999997,15933812.925,992220.0,3560.0,煤粉锅炉,一般烟煤,14.682,抽凝式,水冷-闭式循环,1172.0,超临界,350.0,150,21
diff --git a/data/机器学习样表_单位换算.xlsx b/data/机器学习样表_单位换算.xlsx
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diff --git a/使用lightgbm对所有特征建模.ipynb b/使用lightgbm对所有特征建模.ipynb
index 5c9993f..2e58926 100644
--- a/使用lightgbm对所有特征建模.ipynb
+++ b/使用lightgbm对所有特征建模.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -10,7 +10,7 @@
     "import numpy as np\n",
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.metrics import mean_absolute_error, mean_squared_error, mean_absolute_percentage_error, r2_score\n",
-    "\n",
+    "import datetime as dt\n",
     "import matplotlib.pyplot as plt\n",
     "#新增加的两行\n",
     "from pylab import mpl\n",
@@ -28,7 +28,1699 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
+   "outputs": [],
+   "source": [
+    "data = pd.read_csv('data/factory_train_data.csv')\n",
+    "data = data[data['燃料消耗量（吨）'] > 0].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [],
+   "source": [
+    "data['week_of_years'] = data.day_of_year // 7\n",
+    "data['day_of_week'] = data.days.apply(lambda x: dt.datetime.strptime(x, '%Y-%m-%d').weekday() + 1)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "浙江秀舟热电有限公司          1087\n武乡西山发电有限责任公司         112\n国电电力邯郸东郊热电有限责任公司      59\n建投遵化热电有限责任公司          25\nName: 企业名称, dtype: int64"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['企业名称'].value_counts()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [],
+   "source": [
+    "data.drop(columns=['days', 'day_of_year', '企业名称'], inplace=True)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [],
+   "source": [
+    "object_cols = ['生产设备类型', '燃料类型', '汽轮机类型', '冷却方式', '压力参数', 'day_of_week']\n",
+    "num_cols = [x for x in data.columns if x not in object_cols]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "outputs": [],
+   "source": [
+    "for col in num_cols:\n",
+    "    if col != 'num_workers':\n",
+    "        data[col] = np.log1p(data[col])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                   r_O2  temperature  发电量（万千瓦时）   供热量（吉焦）   c_smoke     c_NO2  \\\nr_O2           1.000000    -0.316186  -0.319038  0.068471 -0.417281 -0.560829   \ntemperature   -0.316186     1.000000  -0.003006  0.117038  0.133293  0.288824   \n发电量（万千瓦时）     -0.319038    -0.003006   1.000000 -0.251193  0.704215  0.682388   \n供热量（吉焦）        0.068471     0.117038  -0.251193  1.000000 -0.174803 -0.164987   \nc_smoke       -0.417281     0.133293   0.704215 -0.174803  1.000000  0.909606   \nc_NO2         -0.560829     0.288824   0.682388 -0.164987  0.909606  1.000000   \nc_SO2         -0.272416     0.046211   0.532251 -0.174050  0.488700  0.468403   \nflow          -0.427438     0.194207   0.673315 -0.180025  0.963711  0.925927   \nnum_workers    0.157706     0.076302  -0.422639  0.498720 -0.342271 -0.344105   \n燃料消耗量（吨）      -0.541179     0.044031   0.864512 -0.208610  0.791680  0.769341   \n低位发热量（GJ/t）    0.317284     0.098987  -0.681444  0.707886 -0.581977 -0.549735   \n额定蒸发量         -0.391598    -0.105596   0.880452 -0.338254  0.794106  0.754143   \n总容量           -0.391399    -0.105362   0.882626 -0.337874  0.793466  0.753368   \nweek_of_years  0.056489     0.141038  -0.289343 -0.056148 -0.313741 -0.246944   \nday_of_week    0.015395     0.030817   0.008199  0.014397  0.014961  0.011258   \n\n                  c_SO2      flow  num_workers  燃料消耗量（吨）  低位发热量（GJ/t）  \\\nr_O2          -0.272416 -0.427438     0.157706 -0.541179     0.317284   \ntemperature    0.046211  0.194207     0.076302  0.044031     0.098987   \n发电量（万千瓦时）      0.532251  0.673315    -0.422639  0.864512    -0.681444   \n供热量（吉焦）       -0.174050 -0.180025     0.498720 -0.208610     0.707886   \nc_smoke        0.488700  0.963711    -0.342271  0.791680    -0.581977   \nc_NO2          0.468403  0.925927    -0.344105  0.769341    -0.549735   \nc_SO2          1.000000  0.473151    -0.276540  0.590084    -0.462104   \nflow           0.473151  1.000000    -0.320692  0.762291    -0.581641   \nnum_workers   -0.276540 -0.320692     1.000000 -0.482223     0.479269   \n燃料消耗量（吨）       0.590084  0.762291    -0.482223  1.000000    -0.682627   \n低位发热量（GJ/t）   -0.462104 -0.581641     0.479269 -0.682627     1.000000   \n额定蒸发量          0.594941  0.767429    -0.539560  0.945291    -0.770206   \n总容量            0.596513  0.769066    -0.529737  0.941232    -0.777893   \nweek_of_years -0.188307 -0.253597     0.119964 -0.430310     0.247530   \nday_of_week    0.001653  0.017986     0.018464 -0.003100    -0.000316   \n\n                  额定蒸发量       总容量  week_of_years  day_of_week  \nr_O2          -0.391598 -0.391399       0.056489     0.015395  \ntemperature   -0.105596 -0.105362       0.141038     0.030817  \n发电量（万千瓦时）      0.880452  0.882626      -0.289343     0.008199  \n供热量（吉焦）       -0.338254 -0.337874      -0.056148     0.014397  \nc_smoke        0.794106  0.793466      -0.313741     0.014961  \nc_NO2          0.754143  0.753368      -0.246944     0.011258  \nc_SO2          0.594941  0.596513      -0.188307     0.001653  \nflow           0.767429  0.769066      -0.253597     0.017986  \nnum_workers   -0.539560 -0.529737       0.119964     0.018464  \n燃料消耗量（吨）       0.945291  0.941232      -0.430310    -0.003100  \n低位发热量（GJ/t）   -0.770206 -0.777893       0.247530    -0.000316  \n额定蒸发量          1.000000  0.999263      -0.442480     0.000319  \n总容量            0.999263  1.000000      -0.445768     0.000484  \nweek_of_years -0.442480 -0.445768       1.000000     0.007419  \nday_of_week    0.000319  0.000484       0.007419     1.000000  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>r_O2</th>\n      <th>temperature</th>\n      <th>发电量（万千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>num_workers</th>\n      <th>燃料消耗量（吨）</th>\n      <th>低位发热量（GJ/t）</th>\n      <th>额定蒸发量</th>\n      <th>总容量</th>\n      <th>week_of_years</th>\n      <th>day_of_week</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>r_O2</th>\n      <td>1.000000</td>\n      <td>-0.316186</td>\n      <td>-0.319038</td>\n      <td>0.068471</td>\n      <td>-0.417281</td>\n      <td>-0.560829</td>\n      <td>-0.272416</td>\n      <td>-0.427438</td>\n      <td>0.157706</td>\n      <td>-0.541179</td>\n      <td>0.317284</td>\n      <td>-0.391598</td>\n      <td>-0.391399</td>\n      <td>0.056489</td>\n      <td>0.015395</td>\n    </tr>\n    <tr>\n      <th>temperature</th>\n      <td>-0.316186</td>\n      <td>1.000000</td>\n      <td>-0.003006</td>\n      <td>0.117038</td>\n      <td>0.133293</td>\n      <td>0.288824</td>\n      <td>0.046211</td>\n      <td>0.194207</td>\n      <td>0.076302</td>\n      <td>0.044031</td>\n      <td>0.098987</td>\n      <td>-0.105596</td>\n      <td>-0.105362</td>\n      <td>0.141038</td>\n      <td>0.030817</td>\n    </tr>\n    <tr>\n      <th>发电量（万千瓦时）</th>\n      <td>-0.319038</td>\n      <td>-0.003006</td>\n      <td>1.000000</td>\n      <td>-0.251193</td>\n      <td>0.704215</td>\n      <td>0.682388</td>\n      <td>0.532251</td>\n      <td>0.673315</td>\n      <td>-0.422639</td>\n      <td>0.864512</td>\n      <td>-0.681444</td>\n      <td>0.880452</td>\n      <td>0.882626</td>\n      <td>-0.289343</td>\n      <td>0.008199</td>\n    </tr>\n    <tr>\n      <th>供热量（吉焦）</th>\n      <td>0.068471</td>\n      <td>0.117038</td>\n      <td>-0.251193</td>\n      <td>1.000000</td>\n      <td>-0.174803</td>\n      <td>-0.164987</td>\n      <td>-0.174050</td>\n      <td>-0.180025</td>\n      <td>0.498720</td>\n      <td>-0.208610</td>\n      <td>0.707886</td>\n      <td>-0.338254</td>\n      <td>-0.337874</td>\n      <td>-0.056148</td>\n      <td>0.014397</td>\n    </tr>\n    <tr>\n      <th>c_smoke</th>\n      <td>-0.417281</td>\n      <td>0.133293</td>\n      <td>0.704215</td>\n      <td>-0.174803</td>\n      <td>1.000000</td>\n      <td>0.909606</td>\n      <td>0.488700</td>\n      <td>0.963711</td>\n      <td>-0.342271</td>\n      <td>0.791680</td>\n      <td>-0.581977</td>\n      <td>0.794106</td>\n      <td>0.793466</td>\n      <td>-0.313741</td>\n      <td>0.014961</td>\n    </tr>\n    <tr>\n      <th>c_NO2</th>\n      <td>-0.560829</td>\n      <td>0.288824</td>\n      <td>0.682388</td>\n      <td>-0.164987</td>\n      <td>0.909606</td>\n      <td>1.000000</td>\n      <td>0.468403</td>\n      <td>0.925927</td>\n      <td>-0.344105</td>\n      <td>0.769341</td>\n      <td>-0.549735</td>\n      <td>0.754143</td>\n      <td>0.753368</td>\n      <td>-0.246944</td>\n      <td>0.011258</td>\n    </tr>\n    <tr>\n      <th>c_SO2</th>\n      <td>-0.272416</td>\n      <td>0.046211</td>\n      <td>0.532251</td>\n      <td>-0.174050</td>\n      <td>0.488700</td>\n      <td>0.468403</td>\n      <td>1.000000</td>\n      <td>0.473151</td>\n      <td>-0.276540</td>\n      <td>0.590084</td>\n      <td>-0.462104</td>\n      <td>0.594941</td>\n      <td>0.596513</td>\n      <td>-0.188307</td>\n      <td>0.001653</td>\n    </tr>\n    <tr>\n      <th>flow</th>\n      <td>-0.427438</td>\n      <td>0.194207</td>\n      <td>0.673315</td>\n      <td>-0.180025</td>\n      <td>0.963711</td>\n      <td>0.925927</td>\n      <td>0.473151</td>\n      <td>1.000000</td>\n      <td>-0.320692</td>\n      <td>0.762291</td>\n      <td>-0.581641</td>\n      <td>0.767429</td>\n      <td>0.769066</td>\n      <td>-0.253597</td>\n      <td>0.017986</td>\n    </tr>\n    <tr>\n      <th>num_workers</th>\n      <td>0.157706</td>\n      <td>0.076302</td>\n      <td>-0.422639</td>\n      <td>0.498720</td>\n      <td>-0.342271</td>\n      <td>-0.344105</td>\n      <td>-0.276540</td>\n      <td>-0.320692</td>\n      <td>1.000000</td>\n      <td>-0.482223</td>\n      <td>0.479269</td>\n      <td>-0.539560</td>\n      <td>-0.529737</td>\n      <td>0.119964</td>\n      <td>0.018464</td>\n    </tr>\n    <tr>\n      <th>燃料消耗量（吨）</th>\n      <td>-0.541179</td>\n      <td>0.044031</td>\n      <td>0.864512</td>\n      <td>-0.208610</td>\n      <td>0.791680</td>\n      <td>0.769341</td>\n      <td>0.590084</td>\n      <td>0.762291</td>\n      <td>-0.482223</td>\n      <td>1.000000</td>\n      <td>-0.682627</td>\n      <td>0.945291</td>\n      <td>0.941232</td>\n      <td>-0.430310</td>\n      <td>-0.003100</td>\n    </tr>\n    <tr>\n      <th>低位发热量（GJ/t）</th>\n      <td>0.317284</td>\n      <td>0.098987</td>\n      <td>-0.681444</td>\n      <td>0.707886</td>\n      <td>-0.581977</td>\n      <td>-0.549735</td>\n      <td>-0.462104</td>\n      <td>-0.581641</td>\n      <td>0.479269</td>\n      <td>-0.682627</td>\n      <td>1.000000</td>\n      <td>-0.770206</td>\n      <td>-0.777893</td>\n      <td>0.247530</td>\n      <td>-0.000316</td>\n    </tr>\n    <tr>\n      <th>额定蒸发量</th>\n      <td>-0.391598</td>\n      <td>-0.105596</td>\n      <td>0.880452</td>\n      <td>-0.338254</td>\n      <td>0.794106</td>\n      <td>0.754143</td>\n      <td>0.594941</td>\n      <td>0.767429</td>\n      <td>-0.539560</td>\n      <td>0.945291</td>\n      <td>-0.770206</td>\n      <td>1.000000</td>\n      <td>0.999263</td>\n      <td>-0.442480</td>\n      <td>0.000319</td>\n    </tr>\n    <tr>\n      <th>总容量</th>\n      <td>-0.391399</td>\n      <td>-0.105362</td>\n      <td>0.882626</td>\n      <td>-0.337874</td>\n      <td>0.793466</td>\n      <td>0.753368</td>\n      <td>0.596513</td>\n      <td>0.769066</td>\n      <td>-0.529737</td>\n      <td>0.941232</td>\n      <td>-0.777893</td>\n      <td>0.999263</td>\n      <td>1.000000</td>\n      <td>-0.445768</td>\n      <td>0.000484</td>\n    </tr>\n    <tr>\n      <th>week_of_years</th>\n      <td>0.056489</td>\n      <td>0.141038</td>\n      <td>-0.289343</td>\n      <td>-0.056148</td>\n      <td>-0.313741</td>\n      <td>-0.246944</td>\n      <td>-0.188307</td>\n      <td>-0.253597</td>\n      <td>0.119964</td>\n      <td>-0.430310</td>\n      <td>0.247530</td>\n      <td>-0.442480</td>\n      <td>-0.445768</td>\n      <td>1.000000</td>\n      <td>0.007419</td>\n    </tr>\n    <tr>\n      <th>day_of_week</th>\n      <td>0.015395</td>\n      <td>0.030817</td>\n      <td>0.008199</td>\n      <td>0.014397</td>\n      <td>0.014961</td>\n      <td>0.011258</td>\n      <td>0.001653</td>\n      <td>0.017986</td>\n      <td>0.018464</td>\n      <td>-0.003100</td>\n      <td>-0.000316</td>\n      <td>0.000319</td>\n      <td>0.000484</td>\n      <td>0.007419</td>\n      <td>1.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.corr()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "6"
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(object_cols)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "中高挥发分烟煤    1087\n褐煤          112\n低挥发分烟煤       59\n一般烟煤         25\nName: 燃料类型, dtype: int64"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['燃料类型'].value_counts()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2000x2000 with 20 Axes>",
+      "image/png": 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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(20, 20))\n",
+    "for index, col in enumerate(object_cols+num_cols):\n",
+    "    plt.subplot(4,5,index+1)\n",
+    "    plt.title(col)\n",
+    "    # if col in object_cols:\n",
+    "    #     plt.bar(data['燃料类型'].value_counts().index, data['燃料类型'].value_counts().values)\n",
+    "    # else:\n",
+    "    plt.hist(data[col])\n",
+    "# plt.savefig('figure/特征分析.png')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [],
+   "source": [
+    "use_data = pd.get_dummies(data.drop(columns=['r_O2', 'temperature']), columns=object_cols)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "['day_of_week_5',\n '燃料类型_一般烟煤',\n '燃料类型_褐煤',\n '燃料类型_低挥发分烟煤',\n 'day_of_week_7',\n 'day_of_week_1',\n '压力参数_高压',\n 'day_of_week_4',\n 'flow',\n 'num_workers',\n '额定蒸发量',\n '低位发热量（GJ/t）',\n '冷却方式_水冷-闭式循环',\n '汽轮机类型_抽凝式',\n '汽轮机类型_背压式',\n '燃料类型_中高挥发分烟煤',\n 'day_of_week_3',\n 'c_NO2',\n '压力参数_超超临界',\n '压力参数_超临界',\n 'day_of_week_6',\n '压力参数_亚临界',\n '生产设备类型_高温高压循环流化床锅炉',\n '冷却方式_空冷-直接空冷',\n 'c_smoke',\n '生产设备类型_煤粉锅炉',\n 'day_of_week_2',\n '供热量（吉焦）',\n '发电量（万千瓦时）',\n '总容量',\n 'week_of_years',\n 'c_SO2']"
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feature_cols = [x for x in use_data.columns if x != '燃料消耗量（吨）']\n",
+    "# feature_cols = [x for x in use_data.columns if x not in ['发电量（万千瓦时）', '供热量（吉焦）', '燃料消耗量（吨）']]\n",
+    "np.random.shuffle(feature_cols)\n",
+    "feature_cols"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "outputs": [],
+   "source": [
+    "train_data, valid = train_test_split(use_data, test_size=0.2, shuffle=True, random_state=666)\n",
+    "valid_data, test_data = train_test_split(valid, test_size=0.5, shuffle=True, random_state=666)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "outputs": [],
+   "source": [
+    "X_train, Y_train = train_data[feature_cols], train_data['燃料消耗量（吨）']\n",
+    "X_valid, Y_valid = valid_data[feature_cols], valid_data['燃料消耗量（吨）']\n",
+    "X_test, Y_test = test_data[feature_cols], test_data['燃料消耗量（吨）']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "outputs": [],
+   "source": [
+    "lgb_train = lgb.Dataset(X_train, Y_train)\n",
+    "lgb_eval = lgb.Dataset(X_valid, Y_valid)\n",
+    "lgb_test = lgb.Dataset(X_test, Y_test)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "outputs": [],
+   "source": [
+    "params = {\n",
+    "    'task': 'train',\n",
+    "    'boosting_type': 'gbdt',  # 设置提升类型\n",
+    "    'objective': 'regression_l2',  # 目标函数\n",
+    "    'metric': {'rmse'},  # 评估函数\n",
+    "    'max_depth': 10,\n",
+    "    'num_leaves': 31,  # 叶子节点数\n",
+    "    'learning_rate': 0.005,  # 学习速率\n",
+    "    'feature_fraction': 0.9,  # 建树的特征选择比例\n",
+    "    'bagging_fraction': 0.8,  # 建树的样本采样比例\n",
+    "    'bagging_freq': 5,  # k 意味着每 k 次迭代执行bagging\n",
+    "    'verbose': -1  # <0 显示致命的, =0 显示错误 (警告), >0 显示信息\n",
+    "}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1]\tvalid_0's rmse: 0.791089\n",
+      "Training until validation scores don't improve for 100 rounds\n",
+      "[2]\tvalid_0's rmse: 0.787271\n",
+      "[3]\tvalid_0's rmse: 0.78351\n",
+      "[4]\tvalid_0's rmse: 0.779729\n",
+      "[5]\tvalid_0's rmse: 0.775969\n",
+      "[6]\tvalid_0's rmse: 0.772221\n",
+      "[7]\tvalid_0's rmse: 0.768495\n",
+      "[8]\tvalid_0's rmse: 0.764799\n",
+      "[9]\tvalid_0's rmse: 0.761119\n",
+      "[10]\tvalid_0's rmse: 0.757458\n",
+      "[11]\tvalid_0's rmse: 0.75382\n",
+      "[12]\tvalid_0's rmse: 0.750205\n",
+      "[13]\tvalid_0's rmse: 0.746608\n",
+      "[14]\tvalid_0's rmse: 0.743049\n",
+      "[15]\tvalid_0's rmse: 0.73949\n",
+      "[16]\tvalid_0's rmse: 0.735968\n",
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+      "[998]\tvalid_0's rmse: 0.172381\n",
+      "[999]\tvalid_0's rmse: 0.172393\n",
+      "[1000]\tvalid_0's rmse: 0.172393\n",
+      "[1001]\tvalid_0's rmse: 0.172408\n",
+      "[1002]\tvalid_0's rmse: 0.172416\n",
+      "[1003]\tvalid_0's rmse: 0.172425\n",
+      "[1004]\tvalid_0's rmse: 0.172433\n",
+      "[1005]\tvalid_0's rmse: 0.172443\n",
+      "[1006]\tvalid_0's rmse: 0.172443\n",
+      "[1007]\tvalid_0's rmse: 0.172448\n",
+      "[1008]\tvalid_0's rmse: 0.17245\n",
+      "[1009]\tvalid_0's rmse: 0.172459\n",
+      "[1010]\tvalid_0's rmse: 0.172469\n",
+      "[1011]\tvalid_0's rmse: 0.172487\n",
+      "[1012]\tvalid_0's rmse: 0.172504\n",
+      "[1013]\tvalid_0's rmse: 0.172522\n",
+      "[1014]\tvalid_0's rmse: 0.172538\n",
+      "[1015]\tvalid_0's rmse: 0.172551\n",
+      "[1016]\tvalid_0's rmse: 0.172556\n",
+      "[1017]\tvalid_0's rmse: 0.172568\n",
+      "[1018]\tvalid_0's rmse: 0.17258\n",
+      "[1019]\tvalid_0's rmse: 0.172584\n",
+      "[1020]\tvalid_0's rmse: 0.172597\n",
+      "[1021]\tvalid_0's rmse: 0.172598\n",
+      "[1022]\tvalid_0's rmse: 0.172599\n",
+      "[1023]\tvalid_0's rmse: 0.1726\n",
+      "[1024]\tvalid_0's rmse: 0.172602\n",
+      "[1025]\tvalid_0's rmse: 0.172599\n",
+      "[1026]\tvalid_0's rmse: 0.172605\n",
+      "[1027]\tvalid_0's rmse: 0.17261\n",
+      "[1028]\tvalid_0's rmse: 0.172616\n",
+      "[1029]\tvalid_0's rmse: 0.172605\n",
+      "[1030]\tvalid_0's rmse: 0.172596\n",
+      "[1031]\tvalid_0's rmse: 0.172588\n",
+      "[1032]\tvalid_0's rmse: 0.17258\n",
+      "[1033]\tvalid_0's rmse: 0.172572\n",
+      "[1034]\tvalid_0's rmse: 0.172564\n",
+      "[1035]\tvalid_0's rmse: 0.172573\n",
+      "[1036]\tvalid_0's rmse: 0.17257\n",
+      "[1037]\tvalid_0's rmse: 0.172569\n",
+      "[1038]\tvalid_0's rmse: 0.172567\n",
+      "[1039]\tvalid_0's rmse: 0.172565\n",
+      "[1040]\tvalid_0's rmse: 0.172563\n",
+      "[1041]\tvalid_0's rmse: 0.172568\n",
+      "[1042]\tvalid_0's rmse: 0.172567\n",
+      "[1043]\tvalid_0's rmse: 0.172568\n",
+      "[1044]\tvalid_0's rmse: 0.172572\n",
+      "[1045]\tvalid_0's rmse: 0.172576\n",
+      "[1046]\tvalid_0's rmse: 0.172579\n",
+      "[1047]\tvalid_0's rmse: 0.17258\n",
+      "[1048]\tvalid_0's rmse: 0.172581\n",
+      "[1049]\tvalid_0's rmse: 0.172585\n",
+      "[1050]\tvalid_0's rmse: 0.172595\n",
+      "Early stopping, best iteration is:\n",
+      "[950]\tvalid_0's rmse: 0.17204\n"
+     ]
+    }
+   ],
+   "source": [
+    "gbm = lgb.train(params, lgb_train, num_boost_round=2000, valid_sets=lgb_eval, early_stopping_rounds=100)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "outputs": [],
+   "source": [
+    "y_pred = np.expm1(gbm.predict(X_test))\n",
+    "y_true = np.expm1(Y_test)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE: 6.60E+04\n",
+      "RMSE: 256.8979\n",
+      "MAE: 105.2196\n",
+      "MAPE: 3.81%\n",
+      "R_2: 0.9877\n",
+      "NMB: -0.0226\n",
+      "NME: 0.0639\n",
+      "MFB: -0.008\n",
+      "MFE: 0.0384\n"
+     ]
+    }
+   ],
+   "source": [
+    "MSE = mean_squared_error(y_true, y_pred)\n",
+    "RMSE = np.sqrt(mean_squared_error(y_true, y_pred))\n",
+    "MAE = mean_absolute_error(y_true, y_pred)\n",
+    "MAPE = mean_absolute_percentage_error(y_true, y_pred)\n",
+    "R_2 = r2_score(y_true, y_pred)\n",
+    "NMB = sum(y_pred - y_true) / sum(y_true)\n",
+    "NME = sum(abs(y_true-y_pred)) / sum(y_true)\n",
+    "MFB = sum((y_pred - y_true)/((y_pred+y_true)/2))/len(y_true)\n",
+    "MFE = sum(abs((y_pred - y_true))/((y_pred+y_true)/2))/len(y_true)\n",
+    "print(f\"MSE: {format(MSE, '.2E')}\")\n",
+    "print(f'RMSE: {round(RMSE, 4)}')\n",
+    "print(f'MAE: {round(MAE, 4)}')\n",
+    "print(f'MAPE: {round(MAPE*100, 2)}%')\n",
+    "print(f'R_2: {round(R_2, 4)}')\n",
+    "print(f'NMB: {round(NMB, 4)}')\n",
+    "print(f'NME: {round(NME, 4)}')\n",
+    "print(f'MFB: {round(MFB, 4)}')\n",
+    "print(f'MFE: {round(MFE, 4)}')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "outputs": [],
+   "source": [
+    "test_rst = pd.DataFrame(np.array([y_pred, y_true]).T, columns=['y_pred', 'y_true'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2200x900 with 1 Axes>",
+      "image/png": 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M4SRp0yZzfMGC1MwLAHYVQRwAAEAmiV8jLjc3Ns46cQAAAAAyXChkVsIZRutt1tiVV5r7AUCmIIgDAADIJPGtKW22WFUcQRwAAACADLd0aetKuHiGIW3YYO4HAJmCIA4AACCTxAdx8V9pTQkAAAAgw1VWdu9+AJAOCOIAAAAyScsgjoo4AAAAAFmivLx79wOAdEAQBwAAkEmsNeLy882vVMQBAAAAyBJjx0oVFWYX/mRsNmnYMHM/AMgUBHEAAACZhIo4AAAAAFnK4ZDuvde83DKMs67PmmXuBwCZgiAOAAAgU4TDsco31ogDAAAAkIUmTpTmz5fKyhLHKyrM8YkTUzMvANhVzlRPAAAAAB3k88UuUxEHAAAAIEtNnCgNHCgdeaR5/bLLzEo5KuEAZCIq4gAAADKFtT6cREUcAAAAgKwWfx7igAGEcAAyF0EcAABAprCq3nJzJXvkzzgriKMiDgAAAEAWiT8PsaoqdfMAgK6iNSUAAECmiIRthsejd9+RKiulcXV5GixREQcAAAAgq8Sfa1hdnbp5AEBXEcQBAABkisiRaGWdR+PGmUN/lEeXSvp0RaO+lbqZAQAAZIxQSFq61DypqbxcGjuWlndAOoqviCOIA5DJaE0JAACQId79uxnE7QjlR8ealCdJ+uvzjVqwICXTAgAAyBgLFkjDh0vjxknnnGN+HT5c/B0FpCFaUwLIFgRxAAAAGSAUkh6/1zwSbZQnOm5dzlOTrrzS3A8AAACtLVggTZokbdyYOL5pkzlOGAekFyriAGQLgjgAAIAMsHSp5N1uVsTFB3FWRVyeGrVhg7kfAAAAEoVC0rRpkmG03maNcVITkF5YIw5Atui2IO7FF1/UD37wAx1yyCG66qqrVB15d/z88891xhln6NBDD9Udd9whI+4vnva2AQAAIKayUvKodRAXXxFn7QcAAIBES5e2roSLZxjipCYgzcRXxNXWSsFgyqYCAF3SLUHc+++/r5kzZ2rGjBl6+eWX1dDQoMsvv1x+v19TpkzR6NGj9eKLL+qrr77Sgkidf3vbAAAAkKi8PHkQZ1XEWdvKy3t/bgAAAOmuoycrcVITkD7igzjJDOMAIBM5u+NOFi5cqDPPPFNHHHGEJOmaa67RSSedpMWLF6uhoUEzZsxQXl6errrqKt1yyy0644wztGTJkja3dVaIvgEdZr1WvGYAshHvcchmhx8uvVvcINVJXuVHx+Mr4ioqDB1+eJiWSlmK9zgA2Y73OfSksjJJcnRgvxB/S6FH8B7XeQ0NNsXXkWzbFlL//qmbD4C29dX3uI4+324J4mpqavTtb387et1uN98gv/jiC+2///7KyzPP1B41apS++uorSdLq1avb3NZZq1at6sr0+yReMwDZjPc4ZKvxh22SXpcaI1VwUmJF3NSpX2vVqtoUzQ69hfc4ANmO9zn0hMJCqaxsjLZudUmyJdnD0KBBARUWrtLKlb08OfQpvMd1XGXlSEn9otc/+OALNTZ629wfQOrxHpdctwRx3/rWt7Ro0SKdf/75stlsWrBggfbbbz81NDSooqIiup/NZpPdblddXV2724qLizv1+GPGjJHDsfOzmmAmtKtWreI1A5CVeI9DtrMdOF96XbLne6TI8adVETd6jyYdftXw1E0OPY73OADZjvc59LQ//lE66yxJMmQYsTDOZjMkSQ884NDBBx+Qkrkh+/Ee13lOZ+KqSgMG7KUDDkjNXAC0r6++x1nPe2e6JYj7yU9+oilTpmjixInKycnRv/71L91xxx364osv5Ha7E/bNycmRz+eTw+Foc1tngziHw9Gn/nO7A68ZgGzGexyyls8nSTrn4nxdfK859L3jPNKbUklOo5QB3/ehkLR0qbn+Snm5NHZsRkw7rfAeByDb8T6HnjJpkjR/vnT55YlrwVVU2DRrljRxIt936Hm8x3VcY2Pi9bo6B8cOQJrjPS45+8532bl+/fpp7ty5mjVrlvbee2/tscceOvnkk1VcXKzq6uqEfb1er1wuV7vbAAAAkERktXK/K7ZGXH5ppE1lU1MqZtQpCxZIw4dL48ZJ55xjfh0+3BwHAADoDRMnSosWxa6fdZa0Zo05DiC9WEGctS5ci4+SASBjdEsQZykrK9Obb76p6dOny+FwaMyYMfrkk0+i2zdu3Ci/36/i4uJ2twEAACCJyJGoz+6JDtUFPAnb0tWCBeZZ6Bs3Jo5v2mSOE8YBAIDeEn/+Ur9+VOcD6SpyHqKGDTO/VlWlbi4A0BXdGsTNnj1be+yxh4499lhJ0qGHHqr6+notXLhQkvToo4/q8MMPl8PhaHcbAAAAkoiEbU22+CAuL2FbOgqFpGnTJMNovc0au/JKcz8AAICeVl+f/DKA9NIyiKMiDkCm6pY14iRpx44deuKJJ/TYY4/F7tzp1K233qrp06frzjvvVCgU0pw5c3a6DQAAAElEwrbGuCCuxhe53NRkplo2Wypm1q6lS1tXwsUzDGnDBnO/o4/utWkBAIA+qqEhdnnHjtTNA0D7COIAZItuC+KKioq0bNmyVuPHHnus3njjDa1atUoHHXSQSkpKOrQNAAAALVhBnGJrxNU2RyriQiEpEJDc7lTMrF2Vld27HwAAQFcQxAGZwWr6QWtKAJmu24K49gwaNEiDBg3q9DYAAADEiZwSWh+KVcRV+2KX1dSUlkFceXn37gcAANAV8e0oCeKA9OT3S8GgeZmKOACZrlvXiAMAAEAPipwS2hCOhW+1je5YO8o0XSdu7FipoqLtrpk2m3lwPXZs784LAAD0TVTEAenPakspEcQByHwEcQAAAJkiErTtCMaCuAavTfLErROXhhwO6d57zcstwzjr+qxZ5n4AAAA9jSAOSH9WEOd0SoMHm5dpTQkgUxHEAQAAZIpIEFcXjK0R5/VKystL2J6OJk6U5s+Xhg5NHK+oMMcnTkzNvAAAQN9Da0og/VmHNvn5UkmJebmuLtauEgAyCUEcAABApoicFloX8CQOpXlFnGXiRGnVqtj1qVOlNWsI4QAAQO+Kr4gLBKTm5tTNBUByVkWcxxML4iSptjYl0wGALiGIAwAAyAThcDRoq2lODOIMK4hL44o4S/wHXbvtRjtKAADQ++KDOImqOCAdWUFcfr7ZnrKoyLxOe0oAmYggDgAAIBP4fNGL1b5YEBcOS0ZOpDVlmlfESYlTzIDpAgCALBTfmlIiiAPSUXxrSilWFVddnZr5AEBXEMQBAABkgrhqtxpfXsKmUE7mVMQ1NkoHa7kWabxKvl6e6ukAAIA+iIo4IP1ZFXEHG8ul8eP1vVzz2IEgDkAmIogDAADIBNaRaG6udngT+zkG3ZlVEXeentZ4LdaYlbNTPR0AANAHUREHpD/r8OcHNU9Lixdrotc8dqA1JYBM5Ez1BAAAANABVrWbx9PqLO6gKwMq4tatk7Zvl32lTT/SXEnS/qvnSh+fLxmGVFoq7b57iicJAAD6AirigDS3bp3y/rddB8qmY7Y8J0kav3WuDtT5cn5iSOs4dgCQWQjiAAAAMkFcENfyLG6/Iy9xn3Q0fLgk6UBJRmSosGmrdPDBsX0Mo+WtAAAAup0VxBUUmJcJ4oA0M3y4zpB0hiTDbw4VNW/TxzpY+oPMfxw7AMggtKYEAADIBO1UxPmdkYq4dG5NOWeO5DTPAbNFhqyvcjrN7QAAAL3AOqlpyJDE6wDSxJw5CtlbHjuYwVvIxrEDgMxDEAcAAJAJrEUS8vOjQVx+vvm12Z4BFXGTJ0vLliXftmyZuR0AAKAXWH9LWUEcFXFAmpk8WQ+el/zY4YbjOHYAkHkI4gAAADJBkoq4QYPMrz57BlTExbGayIRjNXEAAAC9IhCQmpvNy0OHml8J4oD00/LQxogcO/DzCiATEcQBAABkgkgQF87zRD88soK4JmVARZwklZXJWzg4evWb3OHS4MFSWVnq5gQAAPqU+BbfVMQB6WubrUzbNSB63TdgiCo1WGsbOXYAkHkI4gAAADJBJGQLuj3RocGRTKtRGVIRV1Ghx375ebQObvaQX0lr10oVFamcFQAA6EOsIM7lkkpLzcsEcUD62agKnaV50et1R5yk4VqrT+s5dgCQeQjiAAAAMkEkiAu4zYXhXC6pf//IJiuIS/eKOEnNjaHoZXugWcrJSeFsAABAX2MFcYWF5j+JIA5IR16vlCN/9HpB3Sb5laPq6hROCgB2EUEcAABAJvB6JUl+pxm6FRZK+fmRTeFIa8p0r4iTFKyPzdHu96VwJgAAoC+qrze/FhRIRUXmZYI4IP00NkoFivWSzd2+UZJUVycFg6maFQDsGoI4AACATBCpdvM7zCCuoCAWxNWHMqciLlQfmyNBHAAA6G1WRVx8EGeFcwDSh9ebGMQ5vtkYvVxTk4oZAcCuI4gDAADIBJGQzWePBXEFBeam+mDmVMSFGmJzdAQI4gAAQO+Kb01JRRyQvloGcbaqKpUVmscStKcEkGkI4gAAADJBJIhrsrWuiNsRzJyKOMMbm6MrmP7BIQAAyC60pgQyQ8sgTpK+XbxJEkEcgMxDEAcAAJAJImvENdrM9C0hiAtEKuIyIIiLn6MzSEUcAADoXclaUxLEAemn5RpxkrS3x2xPWVWVihkBwK4jiAMAAMgEkQDLa5jVb4WFsSCu1h+piMuA1pRGY2yOzqBPhpHCyQAAgD7HqoiLb03Z0CCFQqmbE4DWklXE7eE2gzgq4gBkGoI4AACATBAJ4hqM1mvE1TZnTkWcrSk2xxz5FAymcDIAAKDPia+IKyxsPQ4g9QwjeRA3zEFrSgCZiSAOAAAgE1hBXKj1GnE1zZlTERcfxOXKJx/dKQEAQC+KD+JyciSXy7xOe0ogfTQ3S+FwXBAXOQNxSJjWlAAyE0EcAABAJoisEVcXbL1GXHVTXEVcmvd6tDfHwkKCOAAA0NviW1PabLH2lNY4gNSzGn3kyzwG0qhRkqQyP60pAWQmgjgAAIBMEDka3RFsXRG3vTFSEWcYkt+fitl1mKM5VhGXpyaCOAAA0KsaEgtsokEcFXFA+oicg6hCW+QHdp99JEkljQRxADITQRwAAEAmiARxtX4zdCssjH2AVNWY12q/dOXw05oSAACkjhXEWevDEcQB6ccK4orsiUFc0Q5aUwLITARxAAAAmaBFEBdfEVfX5JLhcJhX0nydOKef1pQAACB1rBaUVMQB6cs6t7BlRVzeji1yyU9FHICMQxAHAACQCSJHo9XNrdeIk2ySx5OwX7pyBaiIAwAAqUNrSiD9WRVxBYr8wA4fLrndshmGylVJEAcg4xDEAQAApLtwOBqwVTXFKuLy4jpShnMiV9K4Ii4UknLCBHEAACB1WramtL4SxAHpwwri8sORH9iiImnoUElShTYSxAHIOARxAAAA6S4urdreGAvi7PZYIVw4N/0r4nw+KU+0pgQAAKnTVmtKaxxA6plBnKG8cFwJa0WFJDOIq6uTgsGUTQ8AOo0gDgAAIN3FhWtVjWblm3X2tvUhUsid/hVxjY2SR7HnkqcmgjgAANCraE0JpL/GRilHzXIqZA60COIkqaYmVbMDgM4jiAMAAEh3VhCXk6MdXoek2IdH1jpxQXf6V8Q1NSUGcVTEAQCA3mQYrVtTEsQB6cfrjVsfTjIPeiJB3Ei3GcTRnhJAJiGIAwAASHfRRRLyW53FbQVxAWekIi6Ng7jGxpatKZvlazJSOCMAANCXNDfH2tlREQekr4QgLi9PcjiiQdzurk2SpKqqVM0OADqPIA4AACDdRcI1w+NRc7M51DqIi1TEpXFrypYVcZIUaGhO0WwAAEBf09CiwEYiiAPSUUIQZx34tGhNSUUcgExCEAcAAJDuIkFcONcTHbKOR62vzY7MqIhrFcTV05sSAAD0jvp682tenuR0mpcJ4oD009iYJIgbOlSSVB4iiAOQeQjiAAAA0l0kXAvlmEGc223+k2Jnczc7MqMiLr41pSSFvARxAACgd7Rs8S3F1oojiAPSR3sVcQOaN8uuEK0pAWQUgjgAAIB0F1kjLphjpm7xHx5ZQZxP6V8Rl6w1ZbA+fYNDAACQXZIFcVZFnFUtByD1kgZxgwdLDoccRkiDtIWKOAAZhSAOAAAg3UXCtYDLrHpLFsQ12dK/Ii5Za0oq4gAAQG+xwjarCk6iNSWQjpK2pnQ4pPJySeY6cQRxADIJQRwAAEC6iwRxfkfrIM663ChPwr7pKFlrynAjQRwAAOgd7VXE7dghGUbvzwlAa0kr4qRoe8oKbaQ1JYCMQhAHAACQ7iLhWrOz7Yq4RiPSmjKdK+IawsqTGbw1u81T0QniAABAb7GCuGQVcYGA1Nzc+3MC0FpHgjgq4gBkEoI4AACAdBcJ4nx2M3WL//DICuLqw+lfERfYEQsJfZ4SSZLRRBAHAAB6h9WaMll3AYn2lEC6IIgDkG0I4gAAANKd1ytJarK3XRHnDaV/RVywPja35nwziEvn+QIAgOySrDWl3R67ThAHpIeka8RJtKYEkLEI4gAAANJdpMqtSW2vEbcjmP4VccEd5tyCdrdCuWaCSEUcAADoLclaU0qJ68QBSD0q4gBkG4I4AACAdBcJ17xG2xVx9cG8hH3TUbjBnFvA5ZGRkytJsjUTxAEAgN6RrDWlFAvirO0AUqsjQdyOHebajgCQCQjiAAAA0l0kXGswzNQtWRBX649UxKVxq8dQgzm3oDtPRq4ZxIkgDgAA9JJkrSklKuKAdLOzIG6oNkkyVFvb61MDgF1CEAcAAJDuImvE1YfMsC2+nZIVxNX5078izvBGWlO6PVIkiLMTxAEAgF5Ca0og/RlGO2vElZdLNpty5FeptrNOHICMQRAHAACQ7iLh2o5Q22vE1TSnf0Wc0WjOLZTjkS0SxNn8BHEAAKB37Kw1JUEckHo+nxnGRYM468xDSXK7pbIySawTByCzEMQBAACkOyuIC7S9Rlxtc/pXxFlzM3LyZMszgzinP32DQwAAkF1oTQmkv0gzkOQVcVLCOnEEcQAyBUEcAABAuosEWNY6cMmCuO2N6V8RZ2syn0c4zyObxwwO7QEq4gAAQO+wKuJatqa0rhPEAalnBXGFHQjiaE0JIFMQxAEAAKS7yNFojd9M3ZJWxEWq5dK6Is5nhoRGnkd2T6QijiAOAAD0EirigPRnHc7k26zSOCriAGQ+gjgAAIB0FzkatdaBiz+L2zoubVKkNWVTk7moQhpy+MznYcvLkz3fDOIcQYI4AADQO3YWxFkVcwBSJ9qa0qA1JYDsQRAHAACQ7iJBXFVT69aUOTmS3S41yhMb9KVnuOXwR4K4fI8ckSDOSRAHAAB6SVutKamIA9KH1ys5FFSuIscJtKYEkAUI4gAAANJdO0GczWa2p4xWxElpu06co9mcl63AI2ckiHOFfOlawAcAALJIOBxXaUNrSiBtNTZK+fLGBqiIA5AFCOIAAADSWTgcDeK2eluvESeZQVxIToWdLnMgTdeJcwXMednz8+QsNIPDPDXJ70/lrAAAQF8Q372bijggfXm9UoEibSmdTsntTtwhPoir4ow+AJmBIA4AACCdxbWZrA20roiLvx7OiVTFpXkQ5yjwyFlgVsTlypeunTQBAEAWsdpS2mxSXl7iNoI4IH0kBHEFBeYPbbyhQyVJ+WqUf2tt704OAHYRQRwAAEA6iwvVrPaTySriJCmUE1knLg1bU4bDkitkzstZRBAHAAB6V0Pkc/38fHN93XhWhRxBHJB6rYK4lvLyFCgeIEnK2b6pF2cGALuOIA4AACCdRYI4IydHYTnkdrfuzmIFcUFn+lbE+XySR+a8nEV5suURxAEAgN5jBXEt21JKVMQB6aSxcSdBnKRQudmeMr92Y29NCwC6hCAOAAAgnUVCtVBu8vXhpFgQF3Clb0VcU1MsiHMVeaRcgjgAANB7rNaUyf6WsoI4r1cKhXpvTgBa22lFnCR7hdmesqRxowKB3poZAOw6gjgAAIB05vVKirWdTHYsao3507girqlJypMZEDoKCeIAAEDvamjnc30riIvfD0BqdCSIcw43K+IqtFE1Nb01MwDYdQRxAAAA6SwSqgXdbQdxVkVcsyN9K+IaG2MVccrLM//JDOcI4gAAQE9rrzVlTk6s9TftKYHU6lBF3G6xIK66urdmBgC7jiAOAAAgnVlBnKsDQZwtvSviokGch4o4AADQu9prTSmxThyQLjqyRpwqYkFcVVUvTQwAuoAgDgAAIJ1FQjW/0wzikp3FbQVxTfb0roizWlMSxAEAgN7WXmtKiSAOSBcdqYiLD+KoiAOQCZypngAAAADaEVkjrtlppm3trRHXpEgQl6YVcYPjW1MSxKGXhELS0qVSZaVUXi6NHSs5HKmeFQCgt1kVcclOaoofJ4gDUquzQdwKgjgAGYCKOAAAgHQWCdV89p23pmxSpDVlGlbEtduasslI4cyQzRYskIYPl8aNk845x/w6fLg5DgDoWzpaEWcFdgBSozOtKfupTvWb+aEFkP4I4gAAANJZJIhrsu08iGsIp29FXFutKR0Ky+8NpHBmyFYLFkiTJkkbNyaOb9pkjhPGAUDf0iqIW75cGj/e/CpaUwLpokMVcYWFanKbP7TBdZt6aWYAsOsI4gAAANJZJFRr7EAQ5w2ncUVcoxGriMvLM/9FBOrpTYnuFQpJ06ZJRpJiS2vsyivN/QAAfUOr1pRPPy0tXizNni2JIA5IFx0K4iTVF5lVcbbNG9vcBwDSBUEcAABAOousEec1zLQt2bom1vFpfSh9K+J89QE5FUk9PB7J7Y5uCzYQxKF7LV3auhIunmFIGzaY+wEA+oaGBmk3rdOI6hXSxx9L8+aZG+bOlT7+WPs2r9BuWkcQB6RYR4O4pgFmEOfaQkUcgPTnTPUEAAAA0I5IqOY1dl4RVx/KS7hNOgnsiKvS83gkm01+R67cIR9BHLpdZWX37gcAyHwNDdI6DZfulPnPsm2bdPDBuk7SdZKu3sHatUAqdWiNOEmBQRXSZ1JeFRVxANIfFXEAAADpLBKqWdVu7QVxdYFIRVwatqYM7jCfR1i2aDVc0GGuExfyEsShe5WXd+9+AIDMV18vTdYchR0tzkmP9CwO2Z2arDlUxAEp1tGKuPBQsyKusI4gDkD6I4gDAABIZ5Egbkdw50HcDn/6VsSF6s05BVxmNZwkBZ0EcegZY8dKFRXRb7VWbDZp2DBzPwBA39DQID2ryVp277Kk2+f9Ypme1WSCOCCFwuGOV8Q5dxsqServJYgDkP4I4gAAANJZJFSrC5ppW7JjUWus1p++FXGhBnNOAZcnOhZ0mUGc0Zh+80Vmczike+9Nvs0K52bNMvcDAPQNDZHP9a0TmKIivxiia+7W996cACSyDmM6EsTljDQr4kqbCeIApD+COAAAgHTm9UqKtZ0sLGy9i/WBUm1z+lfEBV15sTG3eTncSEUcut/EidL8+ebPx8FarkUar4O1XBUV5vjEiameIQCgN1kBm2tomVRWFtswbJg0eLCcQ8wxKuKA1LEOYzoSxHn2NoO4IeGNCgR6emYA0DUEcQAAAOkscjRa09yB1pSh9K2Is6reQu5YRVzYqohrIohDz5g4UTr5ZOk8Pa3xWqx7D56tNWsI4QCgL7Iq4nL3rJDeeSe24ZJLpLVr5RphfqhPEAekjtcr2RRWvsyTEdsL4oq+bf7MDtR21VRyPAEgvTl3vgsAAABSJhLEVft2HsQ1ypNwm3RieM05hXLigjh3JIjzceCMHrBunbR9u0rX2/RDzZMkHbB6rhyfnC8ZhlRaKu2+e4onCQDoDaFQ7DylwkJJNXEnLdXVSTk5KioyrxLEAanj9Up5apJdhjnQqpdsjKO0vxqVJ4+atOPTTSrbbWQvzRIAOo8gDgAAIJ11IIhzuyWXS2oKRNo+pmFFnK3JfB7h3FhrynCOGcSJIA49YfhwSdL9kvVRjjzebdLBB8f2MYyWtwIAZCGrGk6K/C1VUxMbqKuTJII4IA00Nsa1pZQkj6ftnW02bXFVaETgCzV9sVE6niAOQPqiNSUAAEA6i6wRVxs0zwZtqztLfn56V8RZ4aCRGzuYNiJBnI0gDj1hzhzJaZ53aIsM2axIzuk0twMA+gQriHM4pJwcSbW1sY2Ry9Y6vDt2cJ4GkCper2JtKfPzJXv7H11X5ZrtKQNrNvb01ACgSwjiAAAA0lkkVLNCtvaCuCalb0Wc3Wc+DyP+rNZIEGdvTr/5IgtMniwtW5Z827Jl5nYAQJ9QX29+LSyUbDYlDeKsirhgkGJ9IFW83riKuHbWh7PUFppBXHg9QRyA9EYQBwAAkM7igji322xDmUxCRZzPJ4XDvTTBjrGCOFterDWlPOZlWzOfdqF3hKO1cQCAvqSh5ef6SVpTxn/mbwV3AHpXZ4M4bz8ziHNUEsQBSG8EcQAAAOnKMBKCuPaORQsK4iripLSrirP7zfnY8mMVcbbcSEWcnyAOPaOpsEz1yo9eX237lozBg6WyshTOCgDQ21oFcUkq4uz2xPaUAHpfwhpxHQjimgeaQZx7+6aenBYAdBlBHAAAQLqKC9O8ym/3WDShNWWL26YDp98MFO35sTna8swgzhEgiEPPqC2o0NM6L3p9hvFb1a1cK1VUpG5SAIBeF9+aUlJiEBepiJNi7SkJ4oDU6GxFXHCw+Tddfg0VcQDSG0EcAABAuopUw0lmyLazIC4sh0JOd6vbpgOXFcQVxCri7B6COPSsmhqpWLFPU4dpoyqrc1I4IwBAKrTbmjIulCOIA1Krs0GcdXJV0Q6COADpjSAOAAAgXUXCtJArR2E5YmdxJ5Ef6b4XcEWCrnSriAua83EUtg7inIH0miuyR02N1F+xD1t303pt3pzCCQEAUqLd1pQ+n9TcLIkgDki1zgZxruFDJUn9fN9IgUBPTg0AuoQgDgAAIF1Fgrig2wyvdrZGnCQFnXkJt00HhiG5g+Z8nIWx1pT2AvOyM0RFHHpGbW1iEDdMG1RZmbr5AABSo93WlFK0PSVrxAGp1dk14vKHD5RfLtlliD/yAKQzgjgAAIB05fVKkgJus9xtZ60pJanZmX4Vcc3NkkeRIK4oVhHnzI9UxAUJ4tAzamqkElVHrxPEAUDf1G5rSikaxFERB6RWZyviSkrt2iSzKk4baU8JIH11WxC3cOFCHX300TrwwAN1wQUXaGPkze/zzz/XGWecoUMPPVR33HGHDMOI3qa9bQAAAH1epKrN79x5RVw0iHN4Em6bDpqapDyZwaCrXyyIcxSYQZw77FM4nJKpIcu1rIijNSUA9E1WENdmRVzkuhXEWRV0AHpXp4O4EmmjzHXiCOIApLNuCeLWr1+vWbNm6Y9//KP+9re/aciQIZoxY4b8fr+mTJmi0aNH68UXX9RXX32lBQsWSFK72wAAAKBomGaFax0K4uyR1o9pVBHX1BRXEVcQa03pigRxufJZS7MA3aqm2kgI4oZos77ZFErhjAAAqWAFa63WiLMGqIgD0kJnW1MOGBAL4kLrCOIApK9uCeL+97//af/999fo0aM1ZMgQTZw4UWvWrNGSJUvU0NCgGTNmaLfddtNVV12l+fPnS1K72wAAAKBYEGc3g7joWdxJWMepTbb0q4hrbIwFcfLEtaaMC+J8dKdED/Bua5RbAUmSYbPJqZAC6+lNCQB9TUJryubm2AlLw4ebX1tUxBHEAanR2Yq4fv1iQZzvK4I4AOnL2R13sueee+qDDz7Q//73Pw0bNkzPPvusjjjiCK1evVr777+/8vLMM59HjRqlr776SpLa3dZZoRBntXaU9VrxmgHIRrzHIdvYGhpkl9RkM/9e8njCCoWSt/LOy7NJsqtJ5r5hr1dGmvwsNDTEWlOGcnKkyLxseW5J5javNxT98AvJ8R7XeYEt2yVJIbtT/oFDlbdlnewb1ykUKk/xzAAkw/scekp9vV2STfn5YYWqquSQeYKGhg2T7T//Ubi6WkYopIIC8++purq2/+YCdhXvcTvX0GCPBnFhj6dDxzNVeUOlJim4ZgOvLZBCffU9rqPPt9uCuOOPP16nn366JKmiokIvvPCCHn30UVVUVET3s9lsstvtqqurU0NDQ5vbiouLO/X4q1at6o6n0afwmgHIZrzHIVuUrl6t3SXVBszAaseOTVq5cmvSfbdvL5E0QnV+lyRp4+efa9vKlb0z0Z34z388+m6kIu7LTZvUEJlX0TeV2ktmRdzHH/9PQ4f6UzfJDMJ7XMfVrjED4KbcYvkGDFDelnXK2bpeK1fmpnhmANrD+xy6W2XlXpKKVFW1Tp/+82PtKymUn686SQMkbfr0U21duVJ1daWSdteGDXVaufLrlM4Z2Yv3uLZt375PNIhbu327ajpwPFOdN0hqknxffakv0+T4B+jLeI9LrluCuJUrV2rx4sV64YUXNHLkSD366KP66U9/qsMOO0xutzth35ycHPl8Pjkcjja3dTaIGzNmjBwOR5efR18QCoW0atUqXjMAWYn3OGQb27vvSpL8rn6SpL33HqoDDhiSdN81a8yvfodZVlYxYICGHnBAT0+xQ2prY60p99xvP8maV1WVJDOI22OPb+tb30rN/DIF73GdVxBYKkkKFZeqaPQo6X8fa1Bgk0aOPKvdVq8AUoP3OfQcc2WW0aN307fKNkuSHAMGqP+IEZKkoR6PhhxwgD791CZJstn66YA0+TsK2YP3uI6IVcTtPnq0du/Az6G/LCBVS4U7qrPq5zYUkpYulb75xqbBgw2NHSvxbYN01lff46znvTPdEsS9+uqrOumkk7TffvtJkq688krNnTtXxcXF+uKLLxL29Xq9crlc7W7rLIfD0af+c7sDrxmAbMZ7HLJGZOE0r2Guq1ZUZG/z4Mtq69gQNve1+3xpc6Tm98daUzoKC2Pzys+XZAZx3oAjXaab9niP6zh7Xa0kySjuL/ceu0mSdtN6bdniUL9+qZsXgPbxPofu5vWaX4uLHXLU10uSbP37yxb5ZWCvr5ccsd8N9fU2vgfRY3iPa1v8GnGO4uIOHc8EBg2TVku51ZvNyD0LXtsFC6Rp06SNccveVVRI994rTZyYunkBHcF7XHL27riTUCik7du3R697vV41NjbK6XTqk08+iY5v3LhRfr9fxcXFGjNmTJvbAAAAIKnRrCJrCJnhWnsVPJFMSw2hvITbpoPGxlhFnCLrA0uScs32gLnyWZkj0K2c9dXmhf79pWHDJEnDtEGVlSmcFACg10WyNxUUyCzVl6R+/RRN3iJj1olN1v4Aeld8EGf+wO6crXywgnLIHgpKW5O38c8kCxZIkyYlhnCStGmTOb5gQWrmBaBruiWIO+igg/Tmm2/qySef1F/+8hddeumlKi0t1bnnnqv6+notXLhQkvToo4/q8MMPl8Ph0KGHHtrmNgAAACh6+vaOkJmytXcsagVxO4JmaKempp6cWac0ecPKUyRp83hiGwji0MPcDTWSJPuA/tJuZkUcQRwA9D0N8Z/r15i/G9Svn2SdDF5XJykWxO3Y0avTAxCxK0Fc/1KHvtFg80rL9CrDhEJmJZxhtN5mjV15pbkfgMzSLa0pTzzxRK1Zs0ZPPfWUtm3bpr322kv333+/XC6Xbr31Vk2fPl133nmnQqGQ5syZYz6w09nmNgAAACha1VYXMMOrDgVxgfSriGveEZeyJQni8tREEIduFwpJec3mh63OspJoRdxuWq8lBHEA0KdYFW6FhYpVxPXv32ZFHEEc0PvCYbMzf2eDuJISaaMqVKFNZhB36KE9OMuetXRp+1miYUgbNpj7HX10r00LQDfoliDOZrPp8ssv1+WXX95q27HHHqs33nhDq1at0kEHHaSSkpIObQMAAOjzImFarX/nQZy1rTaQfhVxwbq4UDC+NWXkMhVx6Al1dVJ/mUFczuBYa8oybdPW9T5JuSmcHQCgt/j9UiBgXm6zNWWLijiv1zyhg6ZNQO9pbJRc8sut+B/YnRswwAzipGUZXxHX0a4NdHcAMk+3BHE7M2jQIA0aNKjT2wAAAPq0TgRxVkWc1/Ak3DYdBHeYcwnY3XLFf6IVqYhzKahmb1C99Kcp+oiaGqlE5hpxjtL+UkmJAi6PXIFG+b/eKGnP1E4QANArrLaUUovWlP37x1pTRsK5+PV46+tjOR2AnpfQllKKHeDshFURJynjg7jy8u7dD0D66JY14gAAANADImvE1UXWiIv/cKgl6zi1SZGKs3SqiKs35xJweRI35MYqkgINzb05JfQBtbWxijj17y/ZbGosNavibBvWp25iAIBeZbWlzMmRXC61WxGXkyO53eYQ7SmB3tXYGBfERX9gdy6bgrixY6WKCslmS77dZjObPIwd27vzAtB1BHEAAADpKlLV1igzwGrvpFCHwzxetfZNp4q4cEOkIs6Zl7ghJyd6MVBPb0p0r5qauCAu0gI/NMQM4lzfbEjVtAAAvayh5XJT8UGcVRFXV2cuUKVYe0orwAPQOxIq4jrYllLKriDO4ZDuvTf5NiucmzWLtrlAJiKIAwAASFdxQZzbHTtDuy0FBelZEWcFcUF3i4o4h0NBu3mma7CBIA7dKyGI699fkmTffTdJUn4NQRwA9BVWEBftLBDfmtKqiDOM6I5WEEdFHNC7djWIi60Rp4wP4iRp4kRp/vzWL0FFhTk+cWJq5gWgawjiAAAA0lVcENeRY9H8/PSsiDMazVAwlONptS3gMNtThhrSJzhEdqitja0RZwVxeXubFXFlzRuszq8AgCxnVbYlrYjLzY2d6RQZJ4gDUqM7KuKMTZvMYD3DTZwo/ehHsesvviitWUMIB2QygjgAAIB0FQnTvMrvcBCXjhVxhtd8HmF3XqttVrvKkJeKOHSvmmpD/VRrXokEce6RZhC3m9arsjJFEwMA9KpWrSmtijirGs76ShAHpFTCGnHt9eRvoV8/qVJDJEm25mapqqoHZtf74g/nRo2iHSWQ6QjiAAAA0lWkZKdRnlg7pXaka0WcdRQZzm1dERdymhVx4UaCOHSvpq31cipkXomsEWeLtKYcpg0EcQDQRyS0pjSMWEVc5CSNhHXiRBAHpIrXK+Ur0rKgExVxDoeU39+tbzTIHMiC9pRS4uFclmSLQJ9GEAcAAJCuOtmaMmGNuDQK4mxN5lyMvNZBXNBFEIee4d9iVjwEHDlSXuTnYphZEUcQBwB9R0JrSq9XCkVO0mijIs46+YkgDuhdu9qaUkpsT0kQByAdEcQBAACkI8Po2hpxadSa0u6zgrjWrSnDkSDOaCKIQ/cKbjODOL+nf2wwEsQVa4e2f1WXimkBAHpZQmtKqy2l0yl5In8zUREHpAWCuETx6xkTxAGZjyAOAAAgHfliwVRngrhoRZzfHzvjO8XszWYoaPO0rogLuyNBXGP6BIfIEtXVkqRAYVwQl58vb4553ffFhlTMCgDQyxJaU8a3pbTZzMttrBFnVdIB6B0Ja8R1MogbMEDapKHmlSwJ4qiIA7ILQRwAAEA6ijsFcpcq4qS0qYpzNJtHkbb8JEFcjhnExQePQHew1ZpVD6HikoTxhhJznbjwOoI4AOgLElpTWkGcFb5JVMQBaYKKuEQEcUB2IYgDAABIR5Ejr6AjR2E5ouuVtKegQPIpt9V9pJrTb87Dnp+kNWVOZIwgDt3MUR9pP9avf8J4YJDZntKxaX1vTwkAkAJJW1PGB3FtVMQRxAG9iyAuEUEckF0I4gAAANJR5MjL7zKryDpaEWfILr8jEsalSUWcM2DOw17QuiJOkYo4WzNBHLqXu8H8sNU+IDGIMyLrxHmqqIgDgL7Aqohr1ZrSYgVxVMQBKdXV1pTZFsSxRhyQXQjiAAAA0lEkiGt2dC6IkyS/05NwH6nmCpjzcBQlCeJyCeLQ/QxDymsy14hzDkwM4twjzdaURTsI4gCgL0ioiGuvNSUVcUBKdWtFnGF08+x6X/yh3PbtqZsHgO5BEAcAADLb8uXS+PHm12wSOQXSZzfTtc4Ecc32SLvHNKiIMwzJHTKPIp0FrVtTKs8M4ux+gjh0n8ZGqShsVsTlDE4M4gq+ZVbEDfavpyMqAPQBHW5NGamIs9qBE8QBvaurQdwmDY3dUeTnOVOFw4mHclTEAZmPIA4AAGS2p5+WFi+WZs9O9Uy6V+QUyCZ7xyvirH189vSpiAsEpFzDPIp0FreuiLNFgjiHP/WhIbJHTY3UX+aHra5BJQnbPKPMIG6YNqiystenBgDoZTttTUlFHJAWuhLEDRggNcmjWkfk774Mb09phXAHa7kWabwqvsmyk06BPoggDgAAZJ5166QVK6SPP5bmzTPH5s41r69YYW7PdJEQrVFmeGWdnd0eqyLOZ0ufirimJskj87m4i1pXxNk95pgjQGkSuk9tbSyIs5UkVsTZdjdbU1Zooyo3hXt7agCAXrbT1pTW5RZBnBXgAegdXVkjriSSv222R9pTbtrUjTPrfdb5lOfpaY3XYp1cNzsbum0CfZoz1RMAAADotOHDW49t2yYdfHDseqYfqVhBnNH5NeKs8C4dKuIaG2NBnDPJGnE2T6QijiAO3aimRiqRuUZcQtWDJA0dqrBsylWzqj/bJn1vUO9PEADQa6wgrrBQyVtTWhVxkVZ28RVxhiHZbL0yTaDP62prSknaEK7Qt/XvzK6IW7dOwVXbdaBs+qHMk05/aMxVw5LzVVhgSKWl0u67p3iSADqLIA4AAGSeOXOkCy6QgsHYmBW8OZ3Sk0+mYlbdK7JGXL3R+TXiGo30qojLkzkPW37rIM4RCeKcQYI4dJ/aWmlIpCKuVRDncqk2d7BKfJXyrt4giSAOALKZVdmWUBEX/7uhjYq4YFDy+aS8JEvcAuh+3RHErQ1FKuIyOYgbPlzlkj6WZJ1aOlDbZD86i046BfogWlMCAIDMM3mytGxZ8m3LlpnbM12kmq0h1Pk14rzh9KmIi29NmeyTLEc+QRy6X/wacdFPZuLUFZvtKQNfb+jNaQEAeplhdKA1pVUR19ws+XzKz49VwbFOHNB7uhLE9etn/txuVBYEcXPmyHCYtTNWQa5dcSedzpmTmnkB6BKCOAAAkB3sWfZnTSRE29GJIM6qiGsI5yXcRyrFt6aUJ0lFnBXEhQji0H1qqsLqp1rzSsuKOEm+gcMkSbaNBHEAkM18PikcWQ60zdaURUWx5K2uTnZ7bG1egjig9/i8IeVbxw2dDOIcDvPHepOGmgOZHMRNnqx/PZzlJ50CfVCWfWIFAAD6jLIyyeUyL5eUmOvDDR5sjmcDK4gLmOGV9YFQe6wgrj4YCbzSrDVlsiDOWWAGcblGU0KnUaArfFvqYmcOJwniwkPMIC5ny/renBYAoJdZbSmlyJ8hyVpTxidvkXXiCOKA3md4404i7GQQJ5mHhFlRESfzJIJ4IT7CBzIeP8UAACAzVVRIQyNnPAYC5tmBa9ea49kgEsTVhztfEVcfStOKuCStKV1F5liufGpu7s2ZIZv5t5gVD35nnpST02q7Y4TZmrKgloo4AMhmVltKj0dyKBRL1uIr4uKvt1gnjiAO6B2hkOTymz+wht0u5eZ2+j4GDMieIK7WXaYGmQd3fnuOVuhgeQuz6KRToA8iiAMAAJnJMKTKSvNyfb0UDCb9wD1jeb3ml8gBmBWytccK6xqVXhVx7bWmjFbEydfqzE9gVwW3m0Fcs6f1+nCSlLe3WRFX4iWIA4BsZgVxhYWKVrtJah3EWevERfaxgrj4ijoAPaexscX6cFa72E5IqIirrY29AWSgqrwKPaXzJEnucLPGaonuunxt9px0CvRBBHEAACAz1dYqoYTKWvMjW0Sq2Rrlkdstud07v4lVcBYN4tKgIs5XH5BTIfNKO2vEEcShOxlVkYq4gtZtKSWpeF8ziBsSXC+/v9emBQDoZVaQVlCgWFtKj6f1H1Z9rSJu+XJp/HjzK5AGvN4WQdwuKCmR6lWk5pxIb9lNm7ppdr2vsVHKU+zgaICqtbUui046BfoggjgAAJCZNm9OvF5dnZp59JS4IK6jx6J2u/nZUpMiiVwaVMT5a+PCwCStKa22MwRx6E62GvP9IFzUfhBXrkp9s5HFCQEgWzXEf65vBXEtq+Hix1pUxGVtEPf009LixdLs2ameCSApMYiz7WIQN2CA+bWuIPPbUzY2SvnyRq8PUJWqqlI4IQBdRhAHAAAyk9WW0pLFQVxhYcdvlp+fXhVxwR3mHMKyJW8dShCHHuDYYVbEGf2TB3G2wYPkl0sOhVW1anPSfQAAmc+qiCssVKx7QrLfDVZrymyuiFu3TlqxQvr4Y2nePHNs7lzz+ooV5nYgRbqrIk6StudlfhDn9RLEAdnGmeoJAAAA7JJsr4iLWyOuM8eiBQVS07b0qYgL7DDn4Hd6lJtsrYdIEJenJlURxKGbuBrMD1ttA5KvESe7XdtyKjS0eY3q/7teOnW3XpwdAKC3UBEXZ/jw1mPbtkkHHxy7bhi9Nh0gXqs14naBFcRtcVbo21JGB3EtK+JKtV1fE8QBGY2KOAAAkJmyPYjbhdaUUvpVxIUbzDkEnEnaUkrRdpVUxKE75TaZQZxrYPKKOEmqLTDbU/q+3NArcwIA9L4OB3EtKuKsbgRZFcTNmSM5W5yPbwVvTqe5HUiR7qiIs1pTblSkIi7D14iLvh6iIg7IBgRxAAAgM/Wh1pSdDeLSaY24kBXEuTzJd6A1JbpZICDlByJB3KC2g7iGAWYVnLGOIA4AslWHW1Na4Vw2t6acPFlatiz5tmXLzO1AinRna8q1wexrTVmq7QRxQIYjiAMAAJnJqohzOMyvBHGS0rEizgwDg26COPSOujqpROb7Qe7gtoO44GCzIs5Vub5X5gUA6H2drohr0ZrSCvKylp2PBZEeujOI+6o584O4lq0pB6hKXq/U3JzCSQHoEn7jAgCAzGQFcXvvbX7NtiAubo04qz1SRxQUxFXEpUEQZ3jNOYTdbbSmjAZxzfI1sS4Juq6mRuovs+rBMbCNNeIkaZgZxOVVUREHANkqIYizKuLaWyMumyviJKmsTAl/WO6/vzR4sDkOpFB3rBFntaZc3ZB9QdxA23ZJoioOyGAEcQAAIDNZrSn33df8mm1BXHdUxKVBa0qj0ZxDKLf9ijhJCtRTEoeuiw/ikrYfi3Dvabam7FdPEAcA2SqhNaVVEZfsd0MbFXFZF8RVVEiXXhq7Pn++tHatOQ6kUEIrxvz8XboPqyLui6ah5oVt25SpLTdaBnGDXWYCRxAHZC6COAAAkHkMI1oRtyZ/tCSp+stqhUKpnFQ3MozuWSMuDSribE2RijiCOPSS2tqOBXGF3zYr4sp8tKYEgGzV4daUfaUiToq9KJIZPObkpG4uQER3tKYsLpZsNqlaJTKsYwyri0qGaWoIKU+xY6MyOxVxQKYjiAMAAJmnpibaIP+XT5pB3JcfVWv4cGnBghTOq7vEnbmZ6RVxigRxym2jNaXLpZDNXOcv2EAQh66rqYmtEddeEFeyvxnEDTCqFNyR+tAaAND9rMypsFDtt6bsKxVxUiyQlKLPF0i17mhN6XBYP942+csyuz2l0eBNuD5AVMQBmY4gDgAAZJw3nzbbUlapRJs1RJL5wfumTdKkSVkQxsVVsnU2iCsoiAvi0qAizu4zw0DD00ZFnKSAwzxjlSAO3aGuOqRiRT45bSeIK92zn+pl/nBVfZKZH9IAANpntaZMqIhL9rvBCud27JDC4egyalkfxMVfBlKoOyripNg6cU0DMjuIs9YLt/QLEcQBmY4gDgAAZJRQSPrzb80WI5UqV7XMxQBKVC3DMPe58kpldpvKyIGX356jsBzRD4M6IqE1ZTAoBQI9MMGOczSbYaCtnSAuSBCHbtS4uTZ2pZ0gzu6wqdJpVsXV/pv2lACQjTrcmtKqiDMMqb4+WhHX2Jjhf1MmQxCHNNRdQZy1Tlx9UXYFcQWBWjkUJIgDMhhBHACgey1fLo0fb34FesDSpZJruxnEbdaQaBDXT7WyKyTDkDZsMPfLWJFKNp/dDK92uTWllPL2lLEgro3WlJKCTjOICzcSxKHr/FvM1mM+V4HkcrW7b5XHDOIaP9vQ4/MCAPS+DremzM2NrZVWW5twEpRVVZc1COKQhro7iKvJz+wgztZoBnHBkoHmwncyTzwliAMyF0EcAKB7Pf20tHixNHt2qmeCLFVZKZXLbE25WUNUI7PixS5DxapL2C9jWUGcbdeCuGblKCzzgC3lQZzffHx7QTsVca5IEOdNgzXtkPFC28z14Zo9bVfDWXb0202SFFxLEAcA2cgK0QpdvtgavG1VS1sBXV2dcnJiuVzWtackiEMa6o414qRYa8ptOZkdxDl8ZhBnFBZF35tKtZ0gDshgBHEAgK5bt05asUL6+GPp2WfNsblzzesrVpjbgW5SXi4NUaw1ZVAu7ZB52nKJqhP2y1iRIK5xF4I4c1+bmu15CfeVKq6A+fjtBXEhlzlXo4mKOHRduMqsePDn7zyIay4zK+LsGwniACAbWRVxRUbkZC2bTdG+ky1Z7Skj4ZS1G0Ec0PO6uyJusz0SxG3a1MWZ9b5wWHL6zSDOlp8vlZZKkgaoiiAOyGDOVE8AAJAFhg9vPbZtm3TwwbHr1uJdQBeNHSt58zZLTWZFnCRVq0RFqleJqvW1TaqoMPfLWJE1AbxGvqTOV8RJUrM9T3nhxpRXxLmCZhDnLGy7NWXIbVbEEcShO9hqzSAuVFyy032NocOk5VLuVtaIA4BsEw7HllkqDEbaUhYVSfY2zkmPq4izdt22LcuCuEAgYe2pb1bXamBIcjhSOCdA3R/EbTAytyKusVHKVySIK8yXbB7piy9Uqu3asj3FkwOwy6iIAwB03Zw5krPFuR1W8OZ0mtuBbuJwSIftFmtNKSm6TtyASEXcrFkZ/oFCpIqtwTCryOLXKdkZK4hrstaJS3FFnDtoBoGOorYr4sIEcehG9jrzw1ajeOcVcc4RZkVcYR0VcQCQbeLyJuUHas0LbbWllFpVxFl/f2VTEPfXZ+oSrn/weq2GD5cWLEjNfACLt8Ho1taUawKRIK6y0gygM0h8m057YUH0SVERB2Q2gjgAQNdNniwtW5Z827Jl5nagGw1oNltTbrGZ/SetIG7PkmrNny9NnJiyqXUPK4gL7doacZLUqNS3pgwGpVzDfHxXO0GckWMGcdG1W4AucDWYgbxtwM6DuLxR5hpxAxo3ULkNAFnGaktpt0s5TbXmFavqLRlrW5a2plywQPrFhbUJY/1Uq02bpEmTCOOQWkFvs5wKmVe6oSJuTcNAyeUy/7775ptumGHvSaiIK4i1pmSNOCCzEcQBAHqGzZbqGSBbGYa02QziNhqJFXH33lSd+SGc1KoirvNrxEneyG1T2ZqyqUnyyHwu7uK2W1NaQZytmSAOXZfbaFbEOUt3HsT1G2OeLZ0fbmCdHADIMvX15teCgljb4naDOKsiLq41Zfz9ZLJQSJo2TSpWbcJ4P9VGz0O58kpzPyAlrORcip1ZuAusIK6qxi4NHWpeybD2lF5vLIhTfn5CRVxNjdl2F0DmIYgD0L7ly6Xx482vQHtaHrXtuac0eLBUVpaa+SB71dRIfr8kqVKJFXH22uqUTatbWWvEyTwI7cyxaLQiLpz6irjGRilPZhDoKm67Ik5WEOdL7Xp2yHyGIeU1mx+2ugbvfI24wSM82i7zw43QWtpTAkA2aYjvcmedbNFea8osrohbutTMIoqV2JqyXySYMwxpwwZzPyAVbF7zBzacm9elNQas1pTV1crYIC6+Ik75sYq4AapSOMy5Y0CmIogD0L6nn5YWL5Zmz071TJDuVq1KvH7rrdLatVJFRUqmgywWqYYLFpXIrxxJsSDOPOLKApHwrFEeud2S293xm1pBXEOaVcTZ8ttpTZlnhoZ2PxVx6JqGBqmfYQZxeeU7r4grK5PWy2xPueO/BHEAkE2SBnG7UBGXDUFcpbm8cjR42yLzZMmWwZy1H9DbHE3mD6yRv+ttKaW4irgqxT6LyPQgLpIuDnZslyTaUwIZiiAOQGvr1kkrVkgffyw984w5NneueX3FCnM70NJrryVeb2iQcnJSMxdkt0gQ5+03JDqUzUFcYWHnbhpbI86TcF+pEB/EKa/t1pS2PLMijiAOXVVTI5XIfB9wle08iHM6pa05wyRJDf9b36NzAwD0LqulZGGhzF8QUp9dI67cbCIRDeLWaXdJZhBnU7jVfkBvCgalnGB8cr7rrCDO65WC5VkSxEUq4sqcZgJHEAdkJmeqJwAgDQ0f3nps2zbp4INj161G8oBk/uX85pvm5REjpDVrsuOIFekpcqpunadvBHGdPRbNzTWXaGwyIsFXCiviGhulskhrSnnaroizE8Shm9TWSv1lfthqK9l5ECdJdYXDpGap+Usq4gAgm3S6NWUWV8SNHWsWB/XfWCtJWqvh+o4+kl2GClWveluxKirM/YDe5vVKBTJ/YG2FXQvi+vUzj4UMQ2rsX6EiKeOCuPjXI74irlRUxAGZjIo4AK3NmWOeIh7PCt6cTnM7EO/DDyOffvY31xSUsmNVc6SnSEXcNlfslN2sC+Li1ojrbBBns5kfOKVdRVw7QZzNYwZxjgBBHLqmpiYWxEVPid4J7wCzNaWxgSAOALKJFcQVFqpjrSlbVMRZXQmyIYhzOKR7741VxH2jwfJFWrz3j4zNmtWlpbmAXdadQZzdHsvb6wqzoCKuoCBaEdc/TEUckMkI4gC0NnmyNG9e8m3LlpnbgXhWW8rvfz/2Vy9BHHpKpCJus6iIa0t+vtSk9KiI60hrSnskiHMFUzdXZIeEIK69qoc4oSFma0p3Ja0pASCbWIcjBQWKtaZs73eDFcRlYUWcJE2cKJ19Qq0kqVb9VKt+kqRRg2o1f765HUiFxsa4IK6LrSmluHXi8rIgiIuriCsMVMuuEEEckKEI4gAkd//9iddtttTMA5nBCuImTMiuU0eRniIVcev8ZhBXUUEQ11J+fppUxHnDylOkyq2dijhHJIhzBqmIQ9fUbQ+o0Grl08EgzrabGcTlV1MRBwDZJGlryvYq4qzWlC3WiMum8wtHDqiVJNWpOBrEvfpsLSEcUiqhFWM3BHGR3EpbXJEgbvNmKRxu+wZpxuttEcRFkkW7DPVTLUEckKEI4gC0tnSp9M475uX8fPPrkCHS4MFSWVnKpoU0tW2btHy5efn442NBXDYdsSK9RIK4L71ma8oxY1oEcdmwhmVcEGf9SHVGulTE+XfEBWvtVMQ5CsxtBHHoqqbNNbEr7X3YGidnL7M1ZXHDxoz6kAYA0L5dbk2ZpRVxkqKvQ3xFnKO+NmXTAaTuD+KsirhKY7DZqzIYlLZu7fL99pZWFXFud/QNqVTbCeKADEUQByCRYUhXX21evvhi6bLLzMtnnimtXWuWngDx3nzT/L7Zf3+pvDxLj1iRViKtKf9bY1bE7befVKNI5UsolB0hcBcr4tJljTh/bdxjtxPEOQsirSlDvqzIUZE6/i1mENfoLu7wQjfF3xqikOxyGQFpy5aenB4AoBd1ujWlVRHX3Cz5fNl5WJMkiIuGlECK9FQQt73WaX5GIWVUe8pWQZwULfMboCqCOCBDEcQBSPT889KHH5q/7G+9VRo40ByvqpJyclI7N6Sn+LaUEhVx6FmGEa2I+9xrBnFjxkg+5clnjwQ92dCe0mseeHmVn9FrxAXrzccO2N2S09nmflYQlyOfgsFemRqyVHCb+UGrL69jbSklaXCFU5WKfEizgfaUAJAtoq0p842OVcQVFsaWZKitJYgDekn8GnHdGcRVVyt2MvmFF8Y6+aS5pEFcaakkgjggkxHEAYhpbpZ+9Svz8rXXmq0oI7/stX176uaF9BUOS6+/bl62grisPGJF2qiulvx+SdI3Gqz8fGnECHNTjS2L1onLkjXiAnXmY/sdbVfDSZKr0AzicuWTj+6U6ILQdjOIC+R3PIgrL5c2yFwnLryOIA4AsoV1XmB/t9fsmiC1H8TZ7bFjmbq6hMOarKnYJ4hDGuqpNeISgrj//EeaPbvL990bEl6PFhVxtKYEMhdBHICYP/7RbD9ZXi5ddZVCIWlVpRnE7VizPXrsAkStXGn2Wi8okA4/3ByjIg49KdKWMlA0QH7laOjQ2IFWlUEQZ0moiEthEBduMB874PK0u59VEZenJoI4dImtxvz5DxZ1PIgbNEhaL3OduMbV63tkXgCA3mdVxJXYIm0pXS7J0/7fJNGgrrY2elgTCqW0wUD3ShbERdbEA1KlJ1pT7qZ1Kv5yhflzb5k7V/r4Y2nFCmndui4/Tk9JqIizXg8q4oCM13aPIAB9S3W12YpSkmbO1ILX8zVtmjR0Y6k+kLR99XaNHi7de680cWIqJ4q0YrWlPOYYcwFhiYo49KxIW0pvUbm0QxoyJBbEbQ9nZxBnfQjUGQUF0jarIi4dWlPuJIize6iIQ/ew7zA/bDWKOx7Eud1SVd4wqUlq+nyDuv7xDwAgHVhBXD/VRi70i7WebIu1TlxdnfLzzd0Nwzy02VmGl/aCweiLQkUc0onXKw3s5iBunYZLi1ps2LZNOvjg2PU0LXX1eUPKVbN5hYo4IGtQEQfA9Nvfmn+AjxmjBYXna9Ikcy3b7TLPuinVdm3aJE2aJC1YkNqpIo20XB9OoiIOPSsSxNV4zPXhhg6V+vc3PySpVhYFcd25RlwKK+IMr/nYIXf7rSmVZ24niENXuerNIM42oKRTt6vvb7amDK2lNSUAZAvrcKQ4HKmIa68tpSWuIs5uz7JDm7jKtzoVq06R0JEgDinW3WvEDRggTdYcBVvWn1jBm9MpzZnT5cfpKaEd3tiVJGvENTVlUZUu0IcQxAGQvv5auv9+SVLo9t9r2lWO6N8nVhBXpHq5DPOMnCuvFG0qYR7Ivf++efn442PjVkWczycFAr0/L2S3SGvKrU4ziBsyRHI4zM9MsiaIM4zuXSMuhUdpRqP52KGcnZxCnktFHLpHTqP5YaujtOMVcZLUXGa2prRvJogDgGxhVcQVhmrNC/078LshriJOyrJmH5HArV4FCslJRRzShtebpBVjF5SUSM9qsk4ZtCz5DsuWSZMnd/lxeorRYL4Wht0u5eSYg5GKuIG27ZJEVRyQgQjiAEjXXWcGJscdp6We47VxY2xTnYoVlEOSeeaNYUgbNkhLl6ZorkgfixaZieyoUdKIEbHx+D56WXHqKNJKpCJuc7hcklkRJ5nHJVkTxMUlUd0SxKVDRRxBHHqJx2f+/LsGdS6I0zCzIi5vG2vEAUC2sIK4/ECteaGTFXFSdgZxVgBHEId00RNrxElJlj+0Z8jH4JHuKKHc/Fg73UhF3CCnmcARxGWx5cul8ePNr8gqGfIOBGBXhELSO+9Izz1nfk1axbZsmTRvngybTR+f/XvdfnvLHWyqUqwXtSVSlIK+LFlbSslcDDnyoTpBHLpdJIhb449VxElZFsTFBWe7GsQVFMS1pkxhRZytyXwuRu5OWlMSxKEb+P1SYcisiMst71wQ5xxhBnH59d+YdwQAyHjWoYineRdaU2ZxRVyt+qm0NBbEhWtqUzYlQGrRmtJqxdgF1hri63xlMkoHmldsNumgg6TBg6Wysi4/Rk+yec3XIpwb91pEnlQZFXFZLRSSNt72tLR4sTb+bjbdyLIMQRyQpRYskIYPl8aNk845x/w6fHji+m7hkKG6S66WJD2fe74O/sn+ev311vcVv06cpby8ByeP9GcYbQdxUqwqLiuOWJFWImcBfNEQWyNOyrIgLnIGpE85CsuRUGTaUelSESefGQIaeR2riMtTE0EcdllNjdRfkSBuSOfWiCsaOVA+5cguIxr4AwAyVyAgNZsrKyjXV2te6ExryiyviKuokLzOfpIkgyAOKdbdFXHFxWbutkkV+ua9L81B6zOMtWulioouP0ZPsjWax4Ph/LjXIhLE9TeoiMtK69bp7d+v0A+GfCzXS/MkSa4Fc/WDIR/r7d+vkNatS/EE0R2cO98FQKZZsECaNCm2Dq1l0yZzfOZMaetWqWH2Qj1e/Z4alafpTbeqqEg65RTzb5OqKrVaJ65U22WzmX+zjB3by08K6eXTT80epbm50lFHtd5eWCht20ZFHLpf5APy/9WYZwNkc0Vck80jGbt2LJqf36IizjBibU16kcMXCQE7GMTlyidfkyGp9+eKzFdbGwviHAM6VxE3pMKujarQnvpKWr/ePHsJAJCxIuc1SZJymmrNC7tQEZdV5xfGBXH9+0vVJf2krZK9vk4KhzOnbR+yTncHcXa7mbtXV0vVwSKVFxWZP8Tbt8fK5dKYwxd5A4uvDoy0piwOVkkyVFXF8VJWGT5c4yWNl2R9lDtQ2/T3rQdL18j81/JDXmQcfssCWSYUkqZNS/7+bBjmv+uvl/54b0DXVF8rSXpz36v08F8qtHWrNHu29Mgj5v7WZ7ZWEDcwUhE3a5bkcPT0M0Fas6rhjjpKyou1nLPaodaEzFNHQzXZcMSKtGEY0Yq4tQEzgbOqc7MxiPMaZnjV5TXiQiHztPAUcDSbz8Xm2Ulrysj7iF2Gmr2pmSsyX02NVKLIz39Hqh7ilJdLG2S2p9SGDd08MwBAb7POB3S5JMeOTrSm7CMVcf37S66B/SRJtnA4tqAekAJN9UHlKdIWoxuCOCmWt1VXSxoYaU+5bVu33HdPs4I4W37r1pQOI6Ri1VERl0VCIemKkjkKROqlrIjVHonkAnJqaskc2lRmAYI4IMssXSpt3Ljz/e4Z9Yj21hcyysp06vvX6gc/kHJyzG0TJ0rz58davllB3IiiKs2fb25HH5ekLWV8O9RV68xTRy87rz6hHSrQJdXV0bWbvtFglZbG3reyMYizgrQurxEnpWydOHuz+bi2/I5VxElSsJ7elNg18RVxuxLErddukiRjPUEcAGS6hvjimkgA1aHfDW2sEZcVjT7igrh+/aTCgblqljthG5AKRkNcCWs3BXElkUPDqiplVBAXCknuYCSIK4wL4nJzoxVyA1RFEJdFli6VHqierP/TsqTb/0/LdH/1ZC1d2ssTQ7cjiAOyTKRYpF1FqtPFm2+RJNluvlnJFiCaONFsnX3JJbEg7qrztxPCwewb8e675uVIEGe1Q7VC4B0yj1iD1Ts0aZII49A9Im0p/UUD5FdO9GQBKUkQl8ltG7ohiMvPl/xyK2T9qZeideKcAfNx7QU7CeLc7ujFAEEcdlHd1mZ5FAmdSzq3Rlx8RVzzF+u7e2oAgF5mBXGFhYqFTFTEmV8iFXGlA22qVb+EbUBKRH5gww5nwnFBV5TEn6OZQUFcY6OULzOIc8QHcVK0Kq5U2wniskhbn+OGWyzX0JHPe5HeCOKALGO1aWvPr3S7cuu3S/vsI118cZv7ORzSYYfFgjh71fbumiYy2bvvmlVJu+8ujRqVtB1qvcxwt0DmqaNXXinK6NF1kSCuodBsS2mtDye1COKam1NWAdYtIouaeJWvnByzpVJnmSdL2mJVcSkK4lx+K4jbSWtKm01+h1kVF2wgiMOuadxkVsOFZYt9ctpBOTlStccM4vxfUxEHAJnOqmD7f/beOzyO8zzXv2crgEVZdIAESVAU1ahmkSoutCW5l7jQyrFjJnaKS5wTR0p8cmLHySlxmlNO5JPEvxzHKZYYW3Zk2k5syzWSzNgWJZKSrE5JJEASBAgQxAILLLB1fn+8M7uzwC6wZWbrd18Xr62cnV3sznzf+3zP87a3I9nFUFyPuAYX4oJBaTmVFuIMB6BCURVMIa613ba+1vUaTWkV4lydq4Q4o09cL7OcV+W5hsGs404zwDKZpJjn2ckkQ0wzkPU8Rf2ihDiFosHYuxdGRvKPXbZyit/U7pQbn/rUhhXe/v6MEKfO9AogO5ZS03LGoZqOuE4W0HVpt6Ns9A5z5AjceqtcNirGErALraLArXbELREgjnFMq+d4SosjrtRkFrOdQLpPXJWESW9CXtfTsYEjDogbQlxysY5FVEVViZ+T3/2yLwiu4qc5kT6JptRUjziFQqGoe0qOpjQdcauiKRtNiOvulvGzcsQpagEtYghxAXtiKaF+oykjEWhHPo+sHnGgHHENilnHPauN8DhXp+//Ez7GKGOc1UbYskWep6hvlBCnUDQYbjd8+tNyfbUYp2nwSX6PFn0FXvUq+Jmf2XB7SohTrGFVf7hc9njTEddBppmCstE7zF13wf33w913V3tPnMNwxE27ZCnYakccaMy5GqBPnA1CnPn/qu2I8yXldT2dBQhxHtnX5JJyxClKIz4tjofl1uL6w5kkN4kjzndORVMqFApFvWM64oqOpjSfs7AAyWS6i4OdQlwyCQ88AF/8olxWLDkkhyNunuwoToWiGniWRXjSHRDi6s0Rt7SUccStmQxaHHFKiGscrHXcnbyQvn+YKeKaH4A775TnKeobJcQpFA3Ivn1w773ZbhGANwwc4xe0A3LjL/6iIMu/EuIUWbz4Ijz/PHg84r4itz3e6ogzUTZ6Bxgfh6NH4dgx+NKX5L577pHbR4/K442EoeaeSeV2xAGcTykhDmrDEZdMQkvKEOI6NoimBBIewxGnhDhFiaRmRYiLtRfXH87EPSpCnH9pLh0Rq1AoFIr6xHTEdQaSGRWtmB5xAOGw7Y64gwdhdBRuuQXe8x65HB2tUE/t1T3i+pQjTlEbuA0hTit18pODehXirNGUKEdc07BvH3zxb2bpJVPHGGaSkRGp7+7bV8WdU9iGp9o7oFAonGHfPnjjG6HNqMF+7as6b/2/v412TpcR/549BW1nYCAjxOnnz2NPWreibvnOd+Ty5S9P57Ts3SuCyMRE5mlWR5ymic1e2egdYHR07X0zM7B7d+a2tXlfvWM44k5Ec/eIA0ufuHoW4iw94kqdi/p8opdHEsZJoAqOuJUVaEUEQF9wY0dc0itCnL6shDhFaegXRIhLdJTmiAtu62KBDjoJS6byZZfZuXsKhUKhqCCmENfvs/Q+K0SI8/uhpUUGMqEQnZ3yf8Lh9f9bIRw8CLfdtnZ4PjEh9ztebF3liHO7YVwJcYoqE4tBa8oQ4jrtE+IaoUdcPiGul1lCIVn4qFxSjcNOns+6fXX/JCdPqr9xI6EccQpFA2P2pHa54Gc896Hd/x9Snf2jPyp4G4EALPpFiNMikarFmylqhFWxlCCDgiuuyH6a6YgzoymVjd4hDhwQtcWKObP3eOTxRsIQ4p4Pi73S6ohra5OaSUMIcRZHnBmHVAqBgCWasgqOuEgE2pD3UogQlzKEuFRECXGK0nDPy+9e7ypNiBsehlNInzhOqXhKhUKhqGdM4WzAF5IrbW0yFy4ES584uxxxySTcfnvuNXLmfXfc4XBMZY5oSuWIU1Qba080t41CXL32iMuKplwtxBnRlH2cR9czNT9FYzDzo+NZt7uXJ1UdrcFQQpxC0cDMzMBujvCg+xZcv/Hrcuftt+d20eRB06C1v50YXrlD+d+bl2gU/uM/5LpFiPvnf4bvfU+uG+PCtCOu37+gbPROsn9//p5whw/L442EEU35dGitIw5kgWCjCXHlpLO0t1uiKauwiGJ5OSPEuQIbR1MmfS2Z/6hQlIAnLNUIrac0IW7TJjiNxFNy+rRdu6VQKBSKKmA64npdRqW6u4hzg+mcC4VsE+IOHYIzZ/I/ruty6jl0qLzXyUsikf5QckVT6nMhh15YoVifpaWMEGenIy5nNOX58zWfGFOII27ALXU5VZ5rLKJPiBA31nElAF3Lk9XcHYUDKCFOoWhgpqfhvdzFK+IPwMmTMhL53d8tejv9A5rqE6eAH/1IRslDQ3DNNQA8/jh8+MPy8B/8AUxNwXXXZYS4G68IKxHOSVIp+OM/zr6vgN6PdYmupx1xE2zC48nMp0yUEJdNLTjizGjKdE7yOuimELeiHHGK0vBFpNjq6iutR9zwsBLiFAqFolEwhbgeV0iuFBJLaWI+1+KIi0REyyqVyVX11N0c4Qfcym6OrPs825jPRHTO00UwKGNnU4hLzoYcemGFYn2yhDgbe8RlRVOaK4aj0czBoUaxOgTzOeIGXEqIa0T8pySaMnL9qwAYSE6yslzbwrGiOJQQp1A0IuPjcPQoiYeP8W7uydz/S78EL74ojxdBfz9KiFNkYilf/3rQNEIheOc7pWb+xjfCJz4h8ZPbtmWiKTW7uporcvMP/wBPPCHimynA7dolYunAQHX3zW5mZyEeB2CKIYaHJXbXSsMIcTb0iAOZt9WKI64QIS7VYoiGSohTlEjrighx3oHyoyn1U0qIUygUinrGjKbs1kJypRghzoymDIWyYsLL6RM3PJx9+73cxa3czy9w97rPsw0jejJMOx6/h9ZWGSsueYIAxM+HHHphhWJ9rEJcWZOfVZiOuKUliHoC0GrMNWo8njLLEbf680j3iJO6nBLiGodYDAbnxRHXv++VALSxzMQzqqbWSCghTqFoREZHYc8e3vh7u+nHMsj4y7+EPXuKiqYEJcQpDCz94XQdfvEXRdfdtk3SEU1RpLMz44izpau5IjfT0/A7vyPX/+IvMg3T/uEfYGwMRkaqtmuOYCwPjnb2EceX1R/OpGGEuAZxxGUJca0bR1PqfnHEaVElxCmKJ5WC9pj87v1DpQtxpiMucVL1iFMoFIp6xjS9dKbKiKacn8fnA79fbpazxnDvXrhxaJzdHOUlHONdfAmAd3MPL+EYuznKTcPj7N1b+musy6r+cCDr+PQuuZG6EHLohRWK9clygNkoxHV1ZWoUWfGUNS7EFdIjrisxC+hKiGsgnnpS52LEEdf3mmsJu2Rx+7nHVDxlI6GEOIWiETlwADweANaE1Hk88ngRKCFOwcRExnn12tfy538OX/+69Du/995M7AOIEGc64spupqDIz2//tnRnfslL4Dd+IzNpWV7OVAsaCSOWMtyeuz8cNKYQZ12FXSzV7hFXbDQlLUqIU5ROOAzdSLG1bXNpQlxbG8wFRIhLjStHnEKhUNQzaSEuGZIrJTriAFv6xLnd8NDUKEfYwzF2M8A0AANMc4zdHGEPP5kcxe0u/TXWxYimNPvDmWjdQbmcDzn0wgrF+jjliHO5Mvp7PQlxhfSI8+kx2llUQlwD8dwDk7SzRFJzo120nVCr2KNDzyghrpFQQpxC0Yjs3w+HD+d+7PBhebwIlBCn4DvfkcsbbuCBJ3r5+Mfl5l//tZgsrWQ54lZW0nGCChu5/3646y4RRv/u70RgNwfpRqxhw2EIcRf8MiBVjriNqbYjbiUcx4vRTKUAIU4zhDhXTAlxiuKZm8sIcb7B0oQ4gOigRFN6Jk9Lb0qFQqFQ1CVmMEcgEZIrpfSIWyXElR32ceAAKXf2glnzMuUufsFsUeRwxAG4e+WGKzy/5r8oFJXAKSEOMvGUs7M0hhDX1pZevNjLrBLiGoiZH0ks5YWu7eD1EumSusfSC0qIaySUEKdQNDjpEpK2xhtXMAMDFiFOnembEyOWMvzyN/Cud0kE2PveBx/4wNqnZglxoOIp7SYahQ9/WK5/+MNwww1y3RQ6GlWIM6Ipp1z5HXE9PQ0ixBl/QzuEuGo64mIhy2sWEE2ptcqk0h2rvGioqH+sQly66lIC2haJ9XWvROr7OKJQKBRNjumIa4uWEE1pOuIMF5kdjjgA9u/H9XDuBbOuh4tfMFsUFiHO+lH4B4MA+CIhtQBFURUqIcTVkyNu3WhKTUu74vo4r8pzDUT0CRHiotsuASDRJ0Jc8vTZqu2Twn6UEKdQNCoDA8x6BzO3r74ahoZEVSsS5YhrchIJ+N73APhv338D09PydfrMZ3Lrux0dEMdHzGXEIyohzl7+4i/guedgcBD+6I8y95uD9CoILhXBcMSdTooC1wyOuCUC9jniqvC9iC+IoJZCKyguVWszHHFx5YhTFE9oTs8IccUUW1fRN9LCNEah5rSKp1QoFIp6xRTiWldCcsUGR5ydqfv6qkvHMd7LPF1ZH0XLoIiOrlSycRf0KWoap3rEQaaFRj0JcSuLCVqIyo3VQhyk35RyxDUOug6+cekP13LlTgBcm0WI084pR1wjoYQ4haJRGRnhtk0/RsOIuThyBMbGYGSk6E0pIa7JefhhCIWI+Lv53E+vp7MTvvKV/Elz5kR1ya36xNnOiRPwh38o1//qr7ILCo3uiDOEuBPLMiDdsEfc0pK4B+sRm6Ips3rEVSGaMr4g7yPqbivIle1qE9HQrYQ4RQksnFvOFC3KEOKGh+EUEk+phDiFQqGoX8y1gP6IsUijlB5xdjviAAYGmG8dIok0g1umldRAaQtmiyKPI65zqI04nqznKBSVREVTZpNcsMzncwlxfVKbU464xuHkSdgWE0dc943iiGvZLnWPljklxDUSSohTKBoY98w5AJKDm6WHVAGOhFwoIa7JMWIp/y36OlK4+fzn4eKL8z89LcS5jHhK5YizB12H//pfpe/eq18N73539uON7ogzoimfC6/viFugk6Q5vJmbq9Te2YtFiOvo2OC561DtaMrEvLxm3LNxLCWAKyCOOE9CCXGK4lk+K7/3pOamnB/O8DCcZovcOHXKjl1TKBQKRYXR9YwjzhsJyZViFmk46YgbGeHnr38OD0l5CboYe2CspAWzRZGnR1xfv0aIYNZzFIpKoqIps9EXRYhLudy5a3jKEddwPPYY7EQcce7LRYjrvEyEuK7IJMlktfZMYTdKiFMoGpRoFHoixkrubVvL2pZViNNnlBDXbCx/TYS4b/MG/vt/h7e/ff3npyeq2NXVXAGIDfHb3wafL3cuqCnENbgj7oXI+o44HRchzSi01Gs8pU2OuKxoyio44pKL8ppxbx777CrcbUqIU5TOyqQIcUu+7rL64m7aZBHilCNOoVAo6pJoVNL1ATyLIblShiPOXN9hV9DH7POZMWofs8yGffZseD3yCXF9KCFOUVVUNGU2qbDM5xP+QO4xreGIU0Jc4/D4sSQX84Lc2CnRlEFDiBvSJ81SiKIBUEKcQtGgzMzAVmQlt2d0S1nb6uyEeY/hiJs9r5o4NxGLJ2fwP3EEgIWbXp/VkiwfaSFOt3nG2swsLMDtt8v1j38cLrlk7XMaOZpS19OOuLNsor098z2zYk60ZvU67hOn67b2iKumIy61KK+Z8BbmiPO0ixDnTSohTlE88WkR4lZaSo+lBBVNqVAoFI2A6YYDcM2XEE3poCNueRmYzFRVfcSZP1OBhYt5oimVEKeoNiqachXGfD7ZkiOWEtKTXjOaUpXn6p+zPxnHR5yExw9bpH7rHhEhbphJFdLRQCghTqFoUGZmYAtSQNLKdMRpGulVN1o02piFfgUAySQ88AB88Ytw//3wT+/5Hi50nvJcw2e+OozHs/E2zInqfFJFU9rG//gf4gi7+GL42MdyP6eRoylnZyEeB2CKoZyxlCCJQ5pm6RNXj0Lcykp6NmVHj7hqOuLSQpyvMEecKcT5kstqQqkomtR5+b1HA+ULcSqaUqFQKOobU4hraQHNFJdKiaacnwddT89v7JjWvPgibCLb3rB0qgK2FuWIU9QoS4s6AYwak4qmRIsY0ZSteYQ4iyMuGm3M6X+zsfxTiaWMbrkYXIZUM2xEU7LAmePqj9woKCFOoWhQpqczjjhzRUU5dA61sYwUSVWfuMbk4EEYHYVbboH3vAduvRW6HpJYys53vYGhocK2Y05ULyTtbKbQxBw7Bn/913L9M5+RikIuGtkRZ2QxrHT0EceXM5YSwO2WukldC3GWmdQyrXXtiNMjIv4l/cUJcS2sEIs5tluKRsXoCZnosE+IS51SjjiFQqGoR0zBrK99RRY5QWnRlLEYrKzY6oh7/vm1Qlx0ogLz6zyOuN7ejBCnz4Wc3w+FYhXxhWVcGKvwKiHELS1VZZFioZhCnN62viNuQJPjRsPGUx45IkWpI0eqvSeOcv48dJ8/DoBvlyX5qKuLmFvmxxeemqzGrikcQAlxCkWDYnXEsbU8Rxxk94lTQlzjcfAg3HYbnDmTuU8jxev5DgAnL3lDwdtKrxhFOeLKJpmEX/1VSKXg3e+G174279OePysD9emTS43XzNcQ4hbaRYHL54gDmZc0ghAXxUcST133iDPfS8pfWDSlt1Oe18JKumamUBSKGT2WCvaUtZ2ODrjQJkKcdnaCxjugKhQKReNjOuKGW0NyRdNy55rno70940qYn7dViHvhhbVCXHyyskJcPkdcbDrk/H4oFKvQw/KD1TUNWgubNxRKVo+4zk7weuWOGnbFuZaNhbWB9R1xA25R4BpWiLvrLolpuvvuau+Jozz+OFyCCHFeqxCnaSx2iCtu8XklxDUKtglxBw8e5NJLL13z7+DBgxw/fpx3vvOdXH/99XzqU59Ct+QNrfeYQqEoHbsdcUqIa1ySSWk/tvrwey2PMcg0Ydr5pb9/WcG1SL9fxrcLKEdc2Xz2s/DIIzJp+D//J+dTTCfjn/y1DNQffjDC6Kjc3zAY/eFmfSLE5XPEQQMIcYajcYlA+rdUKtV2xJnin95SvCOuVoU4a3zvAw8ojaaWcC+IEKcVEz2WB23TMAncaIkETE2VvT2FQqFQVBZTiBtqCcmVrq6MsFYILldGuAuFHHfEpaar54hra4NFTxCA5XPzzu+HQrEKU4hL+NqK+50WQFaPOE2ri3hKb1Q+Dy2fEGfpEQcNJsSNj8PRo5IK9IUvyH333CO3jx6VxxuMxx6DnUg0JTt3Zj0W65PCR+yUEuIaBduOcG95y1t45JFH0v8efPBBuru7ufbaa/nVX/1Vdu3axVe+8hVefPFFDhrVwVgslvcxhUJRHnNnlxnAGFwoR5xiHQ4dynbCmbwBiaX8Aa/mxBkfhw4Vvs3OTuWIK5upKfj4x+X6H/9xOiPcitXJaAouAZaYmJD7G+aUajjipjT5DJrBEVdufziofo84bVnei95amBCntda2ELc6vveWW2g80buO8S/J793VW74QN7jZw1kMxf9088ZTKuFZoVDUK+b0Iy3EFRNLaWLpE+eUEJdyuQHQZh2eXycS6Q9ltSMOIB6QO+LKEaeoAqYQl2y1N5YSMkJcJGKk1JpCXA3XtDxRWZipdeb5PAxHXDDVgI640VHYswd27868selpub1njzzeYDz2WMYRxyWXZD2mGTUgbVIJcY2CbUKcz+ejs7Mz/e9rX/sar3vd6zhx4gSLi4t8/OMfZ+vWrfzWb/0W9957LwA//OEP8z6mUCjKIzEmykrMFyht4rEKJcQ1LvnO6aYQ923esO7zctHZqRxxZfPRj0qD+D17JJ5yFaudjEvIirk2Iun77rijQQqnxpfvVKIJHHE2CnFrHHEVTh1wRQ0XXqERMy21K8Tliu8FGk/0rmNaV8QR5x0oX4iz9olrViFOCc8KhaKeMR1x/R45N5Q0Hzb7xIVCdBjrC+0W4uaHLgXAE3J4fm3Z8Xm60m/NJNURBCAxG3J2PxSKHGhL8oNNtdkvxFnNsHNz1LwjLpEAf1KEOHfH+o64ltQyrUQaS4g7cAA8ntyPeTzyeIPx5NEo2zCcfquEOP+oCHG+2clKT+UVDpHn210e0WiUu+66iy9/+ct87Wtf45prrqHVKMJceumlvPjiiwA8++yzeR8rhmRDVBkrg/lZqc+s8XFNyIF8sWcrXalU2dvr7dXSQlxqehpdfYcaBpmXurPu62Sel/FjAL7D6wEYGEgWLOp0drrSjjh9YYFUhb4vDXOM+/73cX/hC+guF6m//Vu5b9V7euABOHMm83ezOuJANJfTp+GBB5LcfHMldto5XBMTaMALERmIDg3l/y52d2vMGkKcPjtbse+ebYTDuDGFOJ1ksvTjd0uLxRGn6yQjkbTYVQlMIU5vay3sN+n14gZaWWZmqfDjjdOI6O0yJj9a1mO6Dpqmc/vt8Ja3pHC7c27Cxn1pkGOcA7TFDCFuMFj25zM4qHGKrbycH5MaG2u6Mc9Xvwr/5b+s/c5PTOjcdht8+csp3vGOqu2eosFRxzmFHSwsaICLXrecG/RgsOgxoaurCw1IXbhAYCQJuFlYKG9sFonAxIQ7LcQtXXQV3Wefxhc+7+x3fnYWN7BIgLZOD7BqnNXVCWdAn5tTvz2HUce4tbiXxa2Zamt35HPp7nYxO6sxPZ1ksLcXF5A6d64mx3fhcGY+7+poy/15tLXh8njQEgl6mWVmpoVkskFUmne/Gy65BPcNN6x5KPnjH8N11zXISmNheRniz72ImxSp9g703t6s99e2YxCAvsQk09NJ0wxZ0zTrMa7Q9+uIEPfv//7vXHPNNYyMjLC4uMjIyEj6MU3TcLlczM/Pr/tY1+olOuvwxBNP2Lr/zYD6zBof7fQLACx09nLyscfK3t7iYpCwIcTNHj/OKRu2qag+4+N+fud3LgLaAB2z4PZqfoCHJM9yKWOMMjgYo6PjCQr9s7tcl6QdcYuTkxyv8Pelno9xWjTKFR/8IG5g5md/ltNuN7k++Ice6gYuSt82HXHmwD3zvHGCwTkH99h5Ln3hBdqBZ+eHAAiFnuaxx2I5nxuLDaUdcZGJCZ6ts2NV8Kmn2IEIcS7XEo899lzJ21pcdBHhyvTtJx5+mKSZrVQJlmT19Xw8ymMF/B1axsbYhTjinnjiOLpehb52OThypJ0zZy7N+7iua5w5A//0Ty+wZ89iRfapno9xThCNanSl5Dg3HZ/ndNm/+8G0I27m0Uc5U2fHkXJIJuG//ter0HUXa4VnDdD59V9PsnXrE44Lz4rmRh3nFOXw3HODwAgtKxMAhDSNE0Uey3cAQeD0k09yunsXcDXhMDz66GNo2vr/Nx/PP99KG9sIIr3YJgc2MQL4F6cLGiuVSuuzz3IFEkvZ1hbjsceezHo84pPSYOL8jKP7ocigjnEZ9LD8HiIuF8858P0LBHYxO9vCww+/wDAwAJx76inO1uB3/fx5T3o+P7uyxESefby6qwvv7Cy9zPLccz4eeyxHr5E6pfX4ca6w3DarVM8dP86yzT0Eq83TT7exIyX94Za3jPDs449nPd6rxxkFhpnke987zuWX18b8uBDUMS43jghx99xzDx/5yEcAcLvd+Hy+rMf9fj8rKyvrPlaMEHfVVVfhVjPBgkgmkzzxxBPqM2sCfhj5BgD+nZdy7bXXlr29xUX4siHE9QE9NmxTUV3+9V81PvhBjXBYo7NTZ2FBnB3X6Uf5a34dEDecpsHf/I2b3buvLXjbw8Muwo+KI65d1235DhZCXR/jjhzB9bGPoe/cievUKfThYXo/8xl685wPjX7raazRlFZuumkb1167zYk9rhguI07nVFIW77z61VewaviQ5sorNR5FouTaVlYq9t2zC+3ppwH5ew4MBMra/0QCErhJ4MZDkqt27Fi/wZ7NPKt/DoCezcNsKeR9GCJhCyts2XIJtfKne/bZwqpt7e07ufZaZ1ej1vUxzkEmJ2EJiaK97KXXopX55Xn6aY2HDSFuYGWFvlr5MlaABx6A6en1vlsa5875CIevrXu3taI2Ucc5hR10dsq5eyQgC7e6tm0rekylbZPx85aODoIv3QVAMqlx6aXX0lZY+9s1nDgBw5wEQA8EGLppDxyErtics2NWI649RJDBQd+a13pwdAkehbZYpO7GzvWGOsatpSUhwnDbQL8j37/hYRenTkFv78X0XX45AIMuFwM1+F1/8UV43hDiBraP0p9nH11DQzA7Sx/ncbmu5tpr68AqVSirCx19fehuN5e+4hVgMfM0AkePalyC1G5br7lm7ff/3DlAhLhwS+3Mj9ejWY9x5vveCNuFuPHxcU6dOsXLXvYyALq6unj++eeznrO0tITX6133sWJwu91N9ce1A/WZNT7dYVkR49ux1Za/9fBwpkecNjurvj91TDQK/+2/wd/8jdx+5Svhi1/UeOgh6Tn23jOfZzPSk+tI3xu59/9p7NtX3N+7qwvGDUecFg5X/PtSl8e4f/kXeOABtEOHANDuvBO32V06B9deC14vxONye3U0pabJOPXmm9317VpIpdI94s6yif5+aG3N/4b6+zM94rQLF+rve2A0R4vQRkeHVtb+u93g90Mk2kYnYdyxGJX8Mnji8l48He2FvY+AiMktrBCP1873tlDtcvNmV8X2uS6PcQ4SDkMv4ojz9PeV/T3fvBlOsRUA7cyZpvqsp6cLfV7t/EYVjYk6zinKwWi5S5fhPHP19BR/bjD6yrnCYTo73WiaRFIvLbnTPeOK5cUXM/3htE2baB8dkJdKngccPK6GJfovRJBgcO34smVIxs7+5ZD63VUIdYwTdB28UaMnWmeHI5+JOaX+9rfdXNk+yCWA6/z5is6LCiUahXYkYcPV0ZF/H42Mwl5mmZ2t3BykIvznf2bd1F75SvjCF3D7/VXaIed4/HG4BtFFXJdcsvbvbQiPw0zyg9P1NfZWx7jc2O7pvO+++7j55pvTYtpVV13F4xZr5ZkzZ4jFYnR1da37mEKhKJ3lZRhOnAKg9dKttmyzvz8jxKVmHG4m3QgcOQK33iqXNcTJk/CKV2REuI9/HH7wA9gUH2fftqOMHTzGhzu+AEgEwD9/tZN9247C+HhRr9PZSbpHnC1dzRuV8XE4ehSOHYMvfUnuSybhpS+Fiy7K+7kvL8M73pER4TQt2xGnIa6cO++syflFcczOpt/oOQY3FEV6ezNCHPPzYgurJ4zKkfSIK39zgUBGpE1XpSqELyGv5+kscNm40b/OS4LoUu383fbulTlQvhgqTYMtW+R5iuowd0Gn2xDiWGcBQ6EMD5OOpuTUqbK3V08MD9v7PIVCoagGhu5EZzIkVwxRrSjM/xMKoWlp435ZU5vnn88IcWzaRPuomThznjknk+QNh0mIIN3dax9u2xQEoDUawmgQqlBUhFgM2nQRntxdNkx+VnHwIDz4oFz/+7+Hj/9VPwCzz87Y/lp2EIlYWk2sNxns7QXk2DE7W4EdqxS6nqmLvPGNcjk3J6tLG5DHHoNLOC43Lrlk7ROMAXc/5zlzIndrDkV9YbsQd+jQIW688cb07euvv55wOMzXvvY1AD772c/yspe9DLfbve5jCoWidGZmYIsRzdZ6yRZbthkMQsgtEwVdCXEbc9ddcP/9cPfd1d6TNP/2b9Lb9sgR6O6Gb3wD/viPweMBRkdhzx7cN+zGG5boEg1w73057NkjjxdBR4dFiDNnwoq1GJ87u3dn2xB+8hO4/vqcn3syCe95Dxw6JAWBv/xLcW+YYosLnR2bV7j3Xti3rzJvw1EMN9xyRz9xfGzatP7Te3ulyJBmdbRFreOAELdMq9xYXi5/g0WQFuI6Wgv7D4YQBxAPrzixSyXhdsOnP537MVOcawjRu45ZmFzCiyHe5qowFsmmTRYh7tw5WZ7cJCjhWaFQNAKLRsvW9rihbpVybjAXiM+Lq84JIc47nHG1XJh1UACzCHG5NMmOLXKnR09UfOGWorlZWso4wNxBe4W4gwfhttuyv9IzGELcczMcPGjry9lClhBnpIXkJMsRV4EdqxRPPgnPPAM+H/zSL8l9RrRuo5FKiSNup+GIyynE9faSdEmY4fzxcxXcO4VT2CrErays8Pjjj2dlmno8Hj75yU/yP//n/+RlL3sZ3/nOd/joRz+64WMKhaJ0ZqZ1tiIruLVt9jjiNA1SPXKyd104r1bK5SKXu+mee+T20eJdZaWSTEqPly9+US5XVuC//3d429tkDnbjjfDoo/DmN1v+04EDhiKXA49HHi+Czk5YMKIpWV6uP1dSpSjyc9d1+LVfg699TRaF/du/wW/9FoyNweD2zED92aNLjSHCAZyVYsV8QBS4QhxxSTyEMIon9TZwX5KJ1xKBkmOPrLS3V8cRp+vgT4nw5+0qzhEHtSXEgYja99671mw1MkLjiN51zPKE/M7jmpeSG/dY6OyEpZY+ljG+kxMTZW+zXlDCs0KhaATMdYBt8ZBcKdMRB6THZXYKcaarxUuC0CkHU0Q2cMQFNwdI4M56rkJRCbKEuE77hLhkUtpurC5bmUJcPzPccYc8r5ZYWipQiGtUR9w998jlG98I27fL9XqbzxfIiy8CS4tsNs8JO3eufZLLRaxnCIDo2GTldk7hGLb2iGtpaeHJJ59cc/9rXvMavvvd7/LEE09w3XXX0WOpYqz3mEKhKI0LJ0K0mydvG5uZugd6YQa0REJmICpGNptcrrGZGXE7mTgsYB48KAPOM2cy9/l8EvkAcMcd8KlPyX1Z7N8Pl1+eva8mhw+Lla4IsqIpQWbDNrgUGo4iP/f/9b/gs5+VYugXvgCvepXc73ZD/5CblZN+WojijjbQSlZDiDvvlViGQhxxIPGUQebrb+DeII64lRWJSQXwBQsURlwu4i4f3lSMxGJtCXEgYtvYGJhrxq68UuJElCBRfVYmxfGw5OsmmM/KVQSaBsObNE6f2MIlPC/xlBddVPZ26wVTeP7VX5VhjMnIiIhwSnhWKBS1jumIa10JyZVyhDibHHHhMExNrRLiWluJuAK0pZZYGj8PODS/3sAR19unESJIH7Py3EIb5CoUZRKJZIQ4WyY/BocOZddETEwhrpsQk6fjHDrk5eabbXvZsolEYKhIR5zZjSHf+t66wRpL+a53ZSb2DaU0ZnjsMYsbrr8/73lKHxqG82fQzyohrhGwPZoyH4ODg7zmNa/JKbSt95hCoSielePihgt5+6G1wEiwAugabGHR6EPFeRVPuYZc7iZTeCvBVVYsZvTC6gGnKcL99m/DX/1VDhHOZGVV4dtV+imisxPi+Ii5jCxv1SeucPIUkT/zGfiDP8hcX10IzeoFZriqGgIjmvIshTni2trEWJXuE6eEuKo44iIRixDXVfh5KO4WB1ItCnGQnSC7sqJEuFohMSNC3HKLfQs+suIpT5+2bbv1wr59svDDZM8e6TOrRDiFQlEPmEKcf9mGaEpDxDKFuFJT9198US63eSxCHBD2SbF5+bSD8+sNHHF9fZlodz0079x+KBSrsDri7BTiJvNoFhfoIWmUwvs4n/d51aLgaEqLIw7qb8qbk2PH5EDZ2go/8zOZKJJIZG2tqgF49NENYikNvFtlQXL74mT63KaoXyomxCkUisoRPyEFowsd9sRSmvT3w3lk5Y0S4nKwf7+4mHJx+LA87hD5ohdMNE1c/utGL3zrW3Lp9cJf/7W4tIaGYGCg6P0xJ6oRl+oTtyEDA9mf8XXXrfnc770Xfv3X5fr//J/iUlhNe7vEGQKN1dvBcMSdikuxYiNHHMi8RAlxQrUcccvL0Iq8nruj8KhAU4hLLtXmZGtqKnP9nIrprxlMIS4asG9R3/BwcwtxkL2mY3lZCc8KhaJ+MKcevkhIrtSAI+55o966ZZUQt9Qq8+vY2coIcTkdcZYey5GzIef2Q6FYhVNC3PBw7vt1XMwiIlY/M3mfVy2KjaYccItbrCFMY2Ys5VveIt+Fzs7M4HNurnr75RCPPQaXcFxu5IqlNPBukS/pMJOV6najcBAlxCkUDYh2Rhxxi91bbN2uEuJql3zRCya6LnXEQ4fyPCEUEpsVwP/7f6L6HD4sOWwlxJumV4y6bOhq3uiMjMB998n13l545JGsz/3++0XD1XX40IdEiMtFwzriDCHuhSUZgBaSlFPXQpylR5wdc9Fq9YizOuKK6dmV8NS+ELebI/yAW7kkfKShNO+6xvidJ9rtc8QND8MpjAVNp07Ztt16wnrqXm+MoVAoFLWGuAZ0PIshuaMUIS6PI648IU5nIJEtxEXbZX6dPFc9Ia61FRZd8n4Xz4Sc2w+FYhVOCXF798p0OlfYjBlPuat/hr17bXtJW8iK6iwgmrJPaxAhTtfhy1+W6+96F8kkPPCgxkqbjO2TM3U2py+ALCFuHUecqRYrIa4xUEKcQtGA+KZk5XZ0wF5H3MCAEuI2ZGAgOw60vb1kV1kxFBqpkPd5f/Znssroiivgve+V+zQN/P6S9ictxOnKEVcQZt6dOVswPvfHHoO3v13iRfftg7/927zJlQQCFkdcIwlxxpf2uXDzOeI6OjZ4bgFkOeIqqBotL1uEuCIikpNeEeJSS5Vz7xXD1BS8l7u4lfv5Be5WrrgawTUvq2RTXSqa0k6sp+75eVQcjkKhqBsWF6WYrZlxIKVEU5qKVTgMyaQtQlwHYVoSxjjdKK7GumR+rTtZSd8gmhJguSUIKEecorI41SPO7YZPf1qur54/m0Lcb/78TM25/bOiKdf7PAxHXE9K6nJ1L8Q99JAsfGtv52uxNzE6CrfcAuNhmdP/l9dc4ODB6u6inZw7J2WOdDTlOo44JcQ1FkqIUygakMCsrNxObVaOuIqzaVNGhQIYHCzZVVYMhUYq5Hze2bNw551y/Y//2JbsKfMjCOnKEVcQptXA8j05cQLe+Eb56F75SviXf1n/T5MlxDWSTcdwxE2wCa83vfhvXRpFiLO9R1yVoimLccSlhbhIjTnixsfh6FH6Tx/jXUgT8XdzD+EfHoOjR1GzouriXiijB1AeVDTl2lP3xER19kOhUCiKQddFiAsSkju83tL6ppuOOICFhfQCqXKEuE0YbrjOzrTbJdUjg1vPXPUccQCxVnkgOh1ybj8UilU45YgDWch6771rE1WWWkWIu2H7jK2vZwcriwn8xORGAY64QGoRH9H6F+KMWMpT172Nfftb0+URc06fnLnAbbfRMGLcY4/J5eUu5YhrNpQQp1A0IF0LUjByb1c94irOsWOyvMVcdjU1VbKrrBjWi14AuX/LFnJHL3zyk1I1f9nL4K1vtWV/zIlqKKkccYWQOiUjzedXRnjgAVkd9frXy9fn6qvh61+Hlpb1t9GQ0ZSpVNoRN8kww8PgKmDkooS4DNVyxEUWU7SVIsT5ZF/15RoT4kZHYc8evndhNwOIg7WfGa7+xd2wZ488rqgaviUR4lx99vaIU9GU2bdVPKVCoagHIhER49JCXDCYf5K0Hj5fRsALhWxxxKWFOEvEg2YU1L0Lzs2v9QIccYn2oFzOhBzbD4ViNU4KcSBi3NhYZqj+Z38Gb3yfCHHM1J4QFw9Z5vHrCXFdXemJcS+z9S3EJZPwr/8KwP986l3oeuYhs59fD/IG77hDnl7vPPaYvKdgyqhVXHxx/icrIa6hUEKcQtGA9C9Lwch/sYOOuLo+0zvIN74hl699rVwuLVUky8kavbAac9555505HFXPPw9///dy/U//tLRJag7SE1UVTbkhBw/Cl/5Sqpuf/8EIt9wC27bBCy/IhOG++wpra9He3oCOuNlZSCQAmGKooP5wUOdCnJM94iroiIvOW4S0Ilahp3yG4rxSY0LcgQPoHg8A5lHShTFL9HjgwIHq7JcCgJZlEeK8Aw5FU87PN+V5bPVbVkKcQqGoB8ypVzc2uKVNV9z8fCZ6v4TTwcKCJNHnEuI8g1Jobl10SIhLJNCMnV7PEZfqlAdScyFn9kOhyIFT0ZRW3O6M4aivD1wDhhBXg4vLU2GZC6ZcblkMkA+XKx1PWfdC3H/+J0xOEm8P8oXZ12U9ZM7pe7iArktIxaFD1dhJe3nsMUss5cjI+gtXDSFukHOcHmsAFbLJUUKcQtFoJJMMJiU7qGOXcsRVHFOIe/e7MwPJQhu4lYkZveD1Zt8/MiL379uX4z/93u/JkqI3vzmPXa40zLe+gIqmXI+DB+G226A7ItXNM0g0ZTwuj3/0o4X1RIMGdcQZsZSR9n4SeAv+LOpaiHMymrKCAm1s3iL6FSHE6bUqxO3fz/N3H8792OHDsH9/ZfdHkUUgKr9z36C90ZSLdBDCKMI2YTyleeo21+goIU6hUNQDplA23BKSK4WsaMuH+X/LdMQ9b9RbLwmsFeL8m42IuRWH5teWHY54uvLWe7WeoFwa7jmFohI47YgzMRd0TkwghS2oSUecKcTFfYGNF0kbQlwf5+tbiPuSxP6f3v0OYmSnSVmFOJMKldcc5bHH4BIKiKUEGBxE1zQ8JAmfVHXYekcJcQpFgxE5MYWXBHE89FwxZOu2rUJcakadANZw9qz0CgJ405syDdmmpiq2C/v2ZcaVf/iHcP/9cPJkHhHu6FH48pdlgPfHf2zrfrhcEk8ZRjni8pFMwu23S3TOCFLdnCDb8vVnf1Z49EJWj7gGE+JCbVKsaAZHnG4R4syI13LIiqasoCMuPi/vI6b5xDFWILq/RoU41q4/SWGPg1hRHskkdCTF9dC6yT4hrrtbkqWbOZ7SrN2acU6qR5xCoagHTEfcoN9wxJUjxOVwxJUjxF3WuVaIa90i8+vOuEOVdENYWyRAe7c3b23f0xsEwB0OObMfCkUOVhZi+DBWoVZAiDt7lkzT8RoU4vSwHMAS/nViKU2M91HXjrhEQlaNA+E3vWvNw7mEOLPMVq8sLcFzzxUhxHk8pHqlyOc6N0ks5vAOKhxFCXEKRYMx/6Ss2D7LZjqCq3MIy6OnBy5ocrJPnlNC3Bq+9S25vOEGGByEIUMIreCSnVRKYk8A3vc+uPnmHHGUJh/7mFzu3y+NyGyms1M54tbj0KGMu2AzUt00HXEmxUQvZAlxjRJNafx2ZrxSrGg2R9x6bQEKpVqOuMSCvFbcXbgbDkA3miG6opUTDQtlIj7ANP3p2+cYZM4/BAMDVdwrxfx8Jn4ssMW+HnGaJqfxdDxlEzrizDU0l18ul8oRp1Ao6gFTiBvwhuRKOdGUNjviRv1rhbiO7TK/7kmdd6bAaghx83St+1H4BoIAeCMhB3ZCochNImRp42HH5CcP9eKIMxfUJlsLECUbwRF3//3yd+jr48rfuJWRkWwjoFWI0zTYssXWIKeq8MQTshj7qhbjxLBz54b/x7VZ1MchJtV4vM5RQpxC0WAsPSMrts/5ttjV7iuNywWJoEwUNBVNuRYzlvItb5HLKjjizJZamiZaYF6+/3355/XCH/yBI/vS2akcceth6rMBFuk2msmvFuKsz9uIRo6mPJuS31JJjri5OVGo6wFdT4tlSV/bmpjZUmhvr44jLhGW14p518m7z4UhxGnR2nPEnYiN8Ha+mr79fV7NO3ePSf6vomqEQhkhzs4ecbCqT1wTCnFmsfmKK+RSTfwVBXHkCNx6q1wqFFXAnHb0eUJypYYcccP6WiGufTTjarlw3oExqyHErdcfDqB1WB5sWQnZvw8KRR5SC4YDzONf22PDRsyfXK0LcVrE6BHXWoAo2Qg94oxYSt75TtwtXj79aZkSm6x2xN155zoLzeuExx6Tyyu9BTriAM2oLQ4zyfi4QzumqAhKiFMoGoz4CSkUzQbs7Q9n4uqXk717frZ+ituVYGUFvvc9ub5aiKugI858qb6+dcaxug4f/7hc//CHYft2R/ZFOeLWx/x6mG64eTpZZG0WYaHRC+3tjeuIG4sV74ibwyjIp1L18/1bWUEzZh5auz0rQqvliEuGDUecpzghTjP6yblitSfETU1BJ5lFBcNMcXrav87/UFSCudlUWogry/WQg+FhFU0JSohTFMldd8kK97vvrvaeKJoU0xHX67IhmtLiiDMjw8sR4rqX1wpx7gGZX3tIMjc2X+KOrsO8bDNEcN3TZNumIACtMQf2QaHIgynExf3OxVJCHkfcbO3VtFzLIsTpbYVHU9atIy4Wg698Ra6/S2Ip9+2D170u8xRTiBvyznLvvXlartQZIsTpjKyYzUM3FuJQQlzDoIQ4haLB0MelULQQ3OLI9r1DMlHQUqn06joF8OCDUuTetAmuvVbuq0I0pflS64o3994rq5Tb2+ETn3BsX1SPuPXZu1eMNFuM/nCr3XDFRi80siPu+aXie8TF8LNoCpP1Ek9pEcrc7cVFOuajWj3iUovyXhLe4t6H1iqOOHe8NoW4PjJu8E2c5dy5Ku6QAoDw2TBujCKKA0JcMzviVkdTzsxANFq9/VHUMOPj0nv42LHM6vZ77pHbR4+iqkaKfCST8MAD8MUvymWhvZHXwzx2dWsh44oN0ZQWR9zysiSQFMMLLwDotIXWCnH4/SxqIkIsjjmQOlOgI65zqzzYkQxlW1IUCgfRF2XemmipjBB37lwm5YlUqubmiaYQV1BM5ypHXN39bL/3PTk+DQ3BK18JSBnjoYfk4Z/5GZhF3uOu4QsNIcKBCHHDTOKPL4m9r5CF8UqIaxiUEKdQNBieKSkUrfQ744jrHvQxb7qcVDxlBmsspZkJWoVoSvOlTA1wDfF4Rnz76Ecd7W2kHHHr43bDpz8NIzmEOPMrVEz0QlaPuAYT4k6syG+pUEdcMCifYd31iTOEuCg+2jo9tmyyWo641JKIfgl/cY44V1v9CHHDTBION44BtV6JTIjjIepqgVZ7BGyTZo6mTKUyxezRUfAb5k/jsKxQZDM6Cnv2wO7dmWbFMzNye88eeVyhWMXBg/LVuOUWeM975HJ0VO4vB9MR16WH5Iod0ZQWRxwUt8YwFJJpczdzuGLGaoZVqyYXfCIMRE5VT4gLbpP36idGKlJ74zBFg2L8YAvqiVYGAwMyr9Z1mJr1Zo4LNRZP6V6ReXxB6Sh9mVjbeDxz7KsbzIU7P/uz6aLHvfdK6WjHDviN38jM57V6mc9vQDIJP/0pXIIRS7l9e2GRrEqIaxiUEKdQNBitM+KISww744jr74fzGCuIlBAn6Pra/nBQm464f/onyUbp7xchzkFUj7iN2bcPfvvn1gpxIyMUHb2QJcQ1ijJgfKHPsomODrIKIOvhdsvcql6FuAhttNs0F61Wjzh9yeh110BC3Llz2UJcNyFaWFauuCqzMilC3KLXXjccrIqmPH26Dpcal87SUubtdnVlWiGqeEpFTg4cAM+qBSTmF8jjkccVCgsHD8Jtt609pkxMyP3liHFmMbozZWM05fw8Pl+6lW1RawzNWMpr+oyVDD09mQ0ZLLbI/Do26UC+nEWIW88c2LO1naRRIlw4FbJ/PxSKHLgi8oNNtTkrxLlcmRpJLfeJ88ZEiHMVIsQZjrh+TeYndRVPubICX/uaXDdiKQE+9zm5/JVfEfE0PZ9fXJQoyzrn+HGZkl/pKyKWEpQQ10AoIU6haDC65kWI07Y544hTQlwOnn4axsZkQvXqV2fur4Ijbl0hLhKB//W/5Prv/V7hqkaJZDnilBCXl11dGSHuyiulrcrJk8Xnn1udT2bER12TSmUJcYW64Ux6e+tQiDOcjEsEbBPisr4XlRRoDdEv5S/OoeQKSGHKm6icaFgoU1Oy4tTKEFNKiKsy8XPy+15ucUaIm8DIMlpZge9/3/bXqFXM07bbLcMbU4ibmKjePilqmP374fDh3I8dPiyPKxQGySTcfnvutQ3mfXfcUXpMpXn8ak+E5Eo50ZQWRxyQjqcsRYi7bihHLKXBckDm1/Gp6jni/K0uFpD3GxoL2b8fCkUOTCFODzgrxEGePnE1J8TJ5+HuLNwR1++S+UldCXH33ScH65EReOlLAXj2WfjP/5Sx5/veJ29vni5SGHFBc3NV3GF7kP5w8NJewxG3c2dh/1EJcQ2DEuIUikZieZnOFRlI+HYoR1zFMN1wt94KbRb3h+mIm5kpvpFAiawrxP3f/ytPGB2FD33I8X3JcsSpaMr8nMkIcTfcADffXHgcpRWrI87sz1XXnD8PiQS6pnGOwYL7w5nUpRDngCMuq0dcBYU4bVleS28pzhHnMYQ4T7K2HHHRqMz9rI44kMmQEuKqS/K8EU3ZZr8Qt2mT9JuMmL+hf/xH21+jVjFP252dEvVrHoOVI05RMGbOtkKxikOH1j+W6LqYkA8dKm37piMuEAvJFTsccTYIcbu68wtxsU5jfj3jrBC3kSYZ9gTl8nTI/v1QKHLgXpYfrFZIT7QyMccyZ89Sk0JcPA6tKVmY6e4qYDJo9ojT69ARZ8ZSvutdYlcE/uEf5K43v1kOk729oONiDuPAVS9z+nUwhbgr/YYQV4Ij7vQpnVTK/n1TVAYlxCkUjYQxo1kkQHC7/QUpUEJcTnLFUoIs4fF4ZDZp9stwGFOIW9Mj7sIF+NM/leuf/GSm2YuDZAlxpXQ1bxYsQtzWMoysfj9EXYbzqRF6xBlf5kignwTe5nDEOSDEtbVZesRVMJoyLcS1FifEudtF8PDWmBBnim1m9IuJEuKqj35BhLhEu83jnvFxtkwf5SUcw0tc7rvvPjh2DI4epdGXo1qFOFDRlIoCGBgg6+Q1NCT/HOxHrKhPCk3tLzXd3xTiWqM2RFOajrj5eaA8IW5Ha34hLhWUgrp2oXqOOICIT54QORuyfz8Uihx4o4YQ1+m8I8786dWqIy4SgQAyj/d0Fe6I60zN4yFeP0Lc0hL8+7/LdSOWMhaDz39e7nr/++XS75cQp7qb06+DKcRtjZYWTdlClLZ4qJKhWwqbUUKcQtFInD4tF2yhf8CZVagDA0qIy2J2Fn78Y7n+5jdnP+ZyweCgXK9QnzjzhLzGEfepT8kE8qqr4Od+riL7kiXEgYqnzIdNQpymQarVGLA3ghB3VooVc60yYyrFEVd3q+csQpxdybEuF2CIYdrycsV6XGlRQ/RrKy6a0tMujjhfaqWmVvqZx9ZBjzHDNQpzmzirJkJVRgtJoTXZ1WPvhkdH6X7tHo6xGw/GQpL5edi9G/bsEXd5A2Oess1jkRLiFBsyMgLvfGfm9ktfKtHt5pdHoTDI28u6xOetJhwGNwn8UeNAVk405SpHXEcJYR+mELfZbcwHcwhxulFQ94aq64hbaQnK5VTI/v1QKHJgRjG6OlQ0pVWIKyiasrs77T7v4UL9CHHf+Ia82YsukjE1osvNzMhx/41vzDy1rw9mkYUK9fMGc6Pr8Oij4CJJ18wLcmeh0ZQtLenzkYqnrG+UEKdQNBD6uPSHO8VWxxafKkfcKr79belldfXV5FRRTGtahYS4nNGUZ85ILCXAn/xJabmHJdDZKZFeMc0ndyghbi0rK+nfUblCHIDeJgN2041U1xhC3LRbvsxN4YhzoEccgGYVw1Yq4zRzr0SM1y7OEeftECGuhRWiUdt3q2RMsS0dTXnllYByxNUC7gXj911OoTUXBw6Iqx1Ys7TJ45HHG5jVjris4pVCkQ/rF+T55yuSwKCoP/buFX02X3qppsGWLfK8UlhchE4sSpnpaisFqyNO18tyxPXH8jvi3AMyv25ZrK4jLh6QJ8SmQ/bvh0KxCl0Hv9kTLVg5Ia5WoymXljJCnNZegBDndqfFmV5m60enssZSGieCz31O7vqlX0oPvwER4upuTp+HyUn5um3XxnEl4jJG2lJESyHVJ64hUEKcQtFAxE5YHHH9zryGVYhLna+XM72D5IulNDEVsQpYJsLhjBEqK5ryf/9vKb7v3QtvepPj+2FirhhdcpcwY20WjIJVhFZCBNm2rbzNaQERPVzLSxVzPjmGoSpPpEp3xNXdoN2BaErIxD1aX8NpPDF5HVegOEecKcS1slwpzbAg5BCuE0wYBbKrrgKUEFcL+JbEEefqtVmI278fDh/O/djhw/J4A6OiKRUlcepU5vrzz1NT1mZFzeB2w6c/nfsxU5y7887S1w4uLkI3RixlWxv4fKVtCDKOuHhc+rEbx8RC1xfOzkqPWYD2cH4hzrdJ5tdtyw7Mr4twxKU6ggAkZ0P274dCsYqVFQggQpy3gkJcPTjiKLRnnuGm7eN8fQhxCwvwrW/JdSOW8tQp+M535K5f/uXspzeSEGfGUt66xVidcfHF6f54BaGEuIZACXEKRQMRe14mv5OerQWft4ultxdmDSEuMdXkjrh4XBxxkF+Iq6AjznyJ9nZLi45nn4V//Ee5/qlP5V966gDmRHVRMxQ55YhbiyHEnWEE0MpObzJXzmmplASt1zOGI+5kVIoVTeGIc0iIa2n3EMMrNyrUJ84Tl9dxtRfZIy6QccTVmhDXQRivbvQKU0JczdASkQqnp9+Z3rgAqbWeuIbHPGVfEz8Ct97K9tkjgIw1VMtXRU50PVuIW1lRyq0iL/v2wb33Qs+qVOGREbl/377Stx0OQ5CQ3CjXLd3enimUzs8X7YhLx1JuBvdUfiGuZUTm1x0x++fXehGOOPMJemje9v1QKFYTiUC7IcR5ulWPOOvnUXBBr1diG3uZrY/Aqq9/HaJRuPRSSZUC/umfZAhx662wY0f20/v763BOnwdTiHt5/3G5Umh/OBMlxDUESohTKBqI5Lg44kKdWx3TW9xuiHXKREGfqYczvYP8+MeywrCvD264IfdzKuiIy9kf7hOfkNXIb3ub9OqoIOZEdV5Xjri8WPrDDQ5K9Hc5uDssoke994kzhLjnF+ULrRxxpdPeLtu0vobTeOKGI65IIU5rrV0hrhdjmWlra3qWOMyk6hFXZdqiIsT5hmzuEQcwMMB86xCPcW3WfY7lf9cQ5in7tZN3wf3303vf3bjdkEyixGdFbs6fF/FN02D7drnv+PHq7pOiptm3Dz75ycztm26CkyfLE+FAHHFpIW5D5WkDNC0TTxkKlSzEXXJxKrNqMocQF9gm8+u0894ukkk0Y2dDBDdM6XT1BgHQFkL27odCkYOlpYzw5O6snCMuHIalNkOIqyH1yhpNWawjrm6iKc1Yyne/GzSNZDKzbvz971/79EZyxD36qFxe1VKeELeJs0qIq2OUEKdQNBDuCVmFutxXRM5wCei9crJ3XaidQUtVMGMp3/Sm/NkpVXDEpYW4hx+GgwdlFecf/ZHjr7+atBCXUo64vFiEuHL7wwG0dHgzzqd6F+KML/SppBQrsuJWC6AuhTjjbxahLR3tageBACxjRERWyBHnS4gQ5+koLpqSVnl+LQpx6f5wfX1ZEyElSlQPXYeOuPy+Wzc54IgbGeFvf3uM3RxlvnVQ7jt4kLLty7XO+Dgdx4/yEo5x44kvAuD60j28tvcY13GUmSNq9q/IgemGGxpKu4aVEKfYCOv6oPPn7WllnRVNaUf/UFPMK8MRd+2WWUlTgZyD2q6LxNXSwwUi4WQZO7sKy44mA114ves/3dsXBMCzGLJvHxSKPFiFOFtXIeahoyPTPmMqaXHE1UhLh6xoykI/D8MRVxfRlBcuwHe/K9eNWMrvf1+GD93d8I53rP0vjSTEmY64rVHjxLBzZ3EbUI64hkAJcQpFo6DrtEyLIy42ZENFfx3cA3Ky94TnmjufaKP+cFBRR1yWEPfII/D618sd730v7Nrl+OuvxpyohlLKEZcXixBXbn84EMFlCWP1XIWcT45hOOLOsomBgeLbe6wR4mpkgrUuxt9siYCtc9FAoPKOOF9CBD9PZ3GOONMWWmtC3LlzuYW4fs6zEo7V/c+tXolEIGgUW9tGnImmHNjiBzTGWy+TO06ccOR1aorRUT7y+T0cYzeBFeN7PzPDfdO7Ocoern37aFV3T1GjmELc1q2ZVd5KiFNswOIi7OYIP+BWek4cIRotf5tZ0ZTlOuKgLEfcCy/I5dV9RizlwAC51LD2bTK/dpMiNBYqY2dXYcRSLtFGoHvjwbR/QN6rf9nGfVCkSSbhgQfg29/u5oEH5HYzU2khDjKuuNPLsriceLxm6hTl9IirC0fcV78qn/dVV8HllwPwuc/JQ7/wC7nTgbKEuJp/g/kJhzPng+5pe6Ip66G8oViLEuIUikYhFMIblUGMtsXZldr+YTkRarqe6T7dbLzwgvRf83jgda/L/zxTiKugI25oCPjDP5SJl9sN//t/O/7auTBXm4VRjri82OyIyxJc6tkRl0qlxetJhovuDwerhLh4vD4+D4eiKSvtiNN18KfkvXiDjSHEZTnienuhtxfd4wFgkHPKFVclQqGM66HNCUccmdP4cy4pGPDMM468Tk1x4ABJTb7f6aRzY7Yfx8N3fuFAdfZLUdsoIU5RAouL8F7u4lbu5z2pu3nxxfK2l0zKUMdWIc7iiDPnN0VHU7bn7w8HoPl9LGii8s2ftLHYbOkPV4g5sG1TEIDWaMi+fVAAYqgfHYXXvMbN7/3eRbzmNW5GR+X+ZiWrJ1qFhDjzJ3j6fGtG7KqRPnElCXH15IizxlIC09PSMg7gV34l93/p64NZ5D3WsyPupz+Vy+2borjPGHa2MoS4xcXmLcXWO0qIUygahdPihpumn+BwkVFgRdI35OECxki+hjK1K8o3vymXr3wl64btW6MpHV6yEn9hnOs4yrWJI/Ctb8mdPp/8jY4epdL+db9f/i1gLB1VQtxaHBDi0o64ehCe8nH+PCQS6JrGOQaL7g8HMieJ0EYUY/VvPQzcG6RHXCwGbcjr+DqLPB8ZQlwryzUjxOn6qh5xfX3gcqEZx/dhJpUQVyXmzifpYh4ArdeBHnFkCjaPRZtIiNu/n/+293DOh27kMD8Y2l/hHVLUBUqIUxTD+DgcPUrP2DH28y8AvJt7mPrWsbLmLYtGTd/WaMoSHXG6nhHitnnXF+IAQh5xtkTGbZxfW4S4QjTJ9hF5Unsi1PRuLTs5eBBuuy099UszMSH3N6sYV01H3MQE0G+Jp6wByu0RFw7LPKwmmZmB//gPuW7EUt59t6yXveEGuPrq3P+tUaIpzVjK1118QhYdd3QU33PabI2gyQp8FU9Zn3iqvQMKhcImjMnvabYUfTwvlv5+OE8fPcw1rxBXSCwlZIS4aBTm5+1ZlZmH/3NwVK78reXOlRXYvTtzu8L+9c5OCM8UuXS0mbBZiKu04OIYRizlUmCAxKK3JEdcWxu0tGhcWOlhmCkZuNvxITtJJRxxFfheRCIipAH4SnTE+YmxEklRC2vGFhflPWVFU4IU086cUUJcFVmcmMeFcV6zo9iaA3NM9UhYoin1Z5/NuMQamDWHCk1LjyEmJiq/P4o6IJcQd/KkVAWLzZdWND6jowD8LphHcfqZ4dbfLm/ekhbitJBs2GZHXOfFcrWQ9YXnz8v0D2AgsbEQt+jvg/gJVs44I8QVcprs3BoExFEYCqXNNooySCbh9ttzf511XU6vd9wBb3ubPT0S64lqCnFnzyKFrbGxmhHiVsJx/BhKWgmOOJApb7G91SvCV74iP4bdu2HHDnQ9E0v5/vfn/2+NIsQ9+qhc7h20xFJqRc4oDCGuXV8kwCLj4+285CU27qSiIlS/uqFQKOzBcMSdYmt6YY9TmEIc0JxC3MICPPigXN9IiGtpyUzeHI6n/NjIAeKr11eYI36PBw5UPkqqo0NFU+YlHk/HLzrSI66eHXGGEHfBL4PNUhxxkKNPXK1j/M2WCKSjj+wgK7K0AtGUy8sZR1zRPeJaMw66WNiGRjE2YLb4HPasEuIs8SBKiKsOS2fE8bDsanOk0H/wINx0k1x/BnHEJZ59ga9+OW77a9Uap6MDnMdSge3vZ7lriGkG1qzoVyiA9FyErVulCtjeLqu+m6GvoqJ4DhyQ+QmZCNz0wooy5i2mENfnCcmVKvaIM91wW7aAd2ZjIS7SJsfc+GT1HHHefnlSkFBTTvOd4NChtU44K7ouh89Dhyq3T7VCNaIpa9kRl5i3zN+LdMQNuCS5o2bjKe+5Ry6NWMof/1g6vQQC6btykiXELSxIDaUOMR1xV7WYecVFxlKCFNfaZG5t9olT1B9KiFMoGoUqOOKA5hTivvc9GQBccgns3Lnx880GM2Y11yE+t7yfG8kdJcXhw7C/8lFSnZ2WaErliMvGiCuN4uM8ffZHU9azI84Qrc+5pVhRiiMO6k+ISy0554irpFMyEskIcVpbadGUAPFwbWRTmofuTX5jZmsuDzfjQTjr9OFdkYeVSRHiFr32u+FWx0idYYRFAnhJ8LvverHhY6ReWBnh57k7c8eNN3Ls4BgTjCghTpEbqyNO01Q8pWJ99u+X+Ukuypi3mOv++tw2RlOaClaJQtzOnaQXma03qI11yPw6NVM9R5z5XluIMjtRG+OweqfQtbgVaClfc0TCSQLGnKHSPeJqUYiLh0SIS7o8hS8wM+YlvYYjriaFuLNn4Yc/lOv/5b8AGTfcu97FugtQu7thnmDmDuOYVhGOHIFbb5XLMojH4ckn5fpozBgTFVJHXI2mZS0EVUJcfaKEOIWiUVCOuMpRaCylibVPnEPEYnkGXa7qHuY7O5UjLi9GJXOCzbS0umyJfskSXBrAEXcm2VyOuFQ4I8QVugiyENrbLdGUFXLEmdGU5qq9gvF4SGqSy5NYrI0CkCmyDSpHXM0ROyeF1kiLvf3hcsdIaTyLxFNezjPccQcN3T8nHIY2LMeLsTE2bfcDUryqcNK1otaJRjPjXHNlkRLiFEWSMrxx5RxfsqIpwV5H3Px8lhC30X4WK8TFgzK+0OycXxfpiKOjI/13CJ8O2bcfTYy5Jteu5zUS0TnLAkHliCMVlvl7zBsoPLbQKCJ0peZwkaxNIe7ee+WA+dKXwtatzM/Dl78sD60XSwlikO7qcTNninGVfIN33QX33y/N7MrguedkmNTRAR1TlmjKUlBCXN2jhDiFokHQlSOuMqRS8M1vyvVChbgKOOLMIvCcZwDd65Ub73+/ZHAPDRXfCNYmlCNuHSxCnLl4vFwaLZry5EpzOuIS3jbMn7EdVNoRZ42mLFqIA2IuccXVmhDXpyshrtZIzIgQF22z1xGXL0bKjKe8jGcaPkZqYQE6sZy3x8bYNCxV52i0RldcK6qH2TiwpSXjGlZCnGIjBgYIu7rSN6cZYJIhZt2lz1tMIa5LD8kVO3vEhUJp50YqtfGQqlghTu+V8YVn3sYDbLFCnMtFxCN/k8UzIfv2o4nZuxdGRvLP9TRN4kv37q3sftUCiZD8YFOaKysVw0lMIW5yElJ9tSnEJfxFrMg0zrkudIKEanN8ZsZSvutd6ZuRCFxxRSYCfj36+mDWjEt3ek4/Pg5Hj8LDD8PnPy/33XMPHDsm95egfpmxlNdcA9rzZURTQtb80wwiUNQXSohTKBoEfbw6jjjdzuiMeuCRR2Sg1tkJr3hFzqckk/DAA/DFL8platAQ4hx0xJmbTg6PoJkOvF/+ZYl2GRuT0X8VUI64dTCqvGcYsSWWEiovuDiG8YV+fkmKFc3iiDPF01SrjXY45HtRUUfcQhwvCbnRWmQ0JZDwyEQ8uej8vhaCKcR1JVYJcUYxTQlxVcT4Xcfb7RXi8p2uTUfcZTy77vPqnURCTiFdzGfuDIfxR+bS63pUPKUii9WxlKCEOMXGjIzwF8FPpm++4L+SUcZ4eqH0eYs53ehK2RhNaXHEBSxGlY3WGKaFuIuSlpzr/EKcq1/GF75wFaMpgeWWIACRyfn1n6goCLcbPv3p3I+Z36U775TnNRvJeRHiot52e1alFsDQkLxUMglhf20JcfpiCUKc14tp1e3jfO0Jcd/4BvzkJ3L9Z38WyMRSvv/9hf3Zs/rEOT2nHx2FPXvgxhszB/mZGVngvmePPF4kjz4qlzfuWswsyiglmhKUI64BUEKcQtEIJJNoZ6UiMtu6pRQDQlH09WWEuPhUrZ3pHcaMpXzDG8hlWTl4UM7Nt9wC73mPXP7xPzofTWluetNgMnNyN4shfr9jr7sRyhG3DhYhbts2ezbZ3t5YjrizDOP1UnJsZ70JcdqyiKeudnsP4pUWaGPzFgGthBNS3F1bjjgR2XTao7l7xA0zqXrEVYuQFFqTnfYKcfnioUxH3OU8s+7z6h3TUZLliAM4eTK9rkcJcYosrEKciRLiFAWgxaLp61fwFDH8PPdc6dszj1/tiZBcsdkRp2kU1CdO1zNC3OW902Khc7nWTSnxDMv8unWpitGUQKxVnhg9F7JvP5qcffvgX/91regwMiKpffv2VWe/qk1qQX6wcX9lYilBog4HB+X6DLUlxKUXZbYUuSjTWCTYy2ztCXF/+qdyuXkzbNrEY49JyzWvF37hFwrbREWFuAMH5Etixcwh9njk8SIxHXGvGDROCv39pZ+bLPPPmZn6XnvdrCghTqFoBM6dQ0skSOAmOeB8VcjrhZWAnOyT55rMEbdOf7iDB+G229YWp56dl7/J9E+dq9SaReAruidleZfHk+lNV0WUI24djBgnux1xaSGunkdlhrJ8lk1s2lR6q0MlxAmV7hFn9ntIUdpCgIRX9jUVqQ0hbmoKOgjjTsbljlVC3CDnmJlq4GZhNYxnQYQ4vdveHnH5YqQy0ZTPsmVEb9gYKbO43ONe5YYYG8vuraJQmOQS4szV3pOTagyoyItvJfPd6IlO0c0Fnn229O0tLoKfFfwpYwxhc484yAhx632tz52TfXG5YJvXWCQ5NLSu7al1s4wvOqLVdcQl2oMAxGdC9u2Hgle9Kruv4G/+ZoqTJ5tXhANIhSsvxIElnjJRW0KctmREdbYVKcQZc5OaccSZ8Y7HjklCE8jg8tgxvvsnR9nKOO94RyZkZCMqKsTt35/Z59UcPiyPF4GuZ4S4q1vLjKWE9PxzxC31EhVPWX8oIU6haASMo+8Em+kbrEymQaqnCXvEnTkjZ1FNgze+MeuhZBJuvz130+5JRBALPTNJ0qFaremIu7RNIkrZvLkm8i2UI24dnI6mrFdHXCq1RogrlboS4nQdd7QxHHGJBXmNmKu1pJiZpFcccbUkxPVhnOva2jIuv4EBdJcLNylaF6croXHWN0eOwK23yqVNeBdFiHP12OuIs8ZIWb/CL7KDBG46WOT//Y+JWjjNOoJ5uu71rjpvj40pR5wiN7mEuGAw4/4xrUEKhYVkEvyJxaz7dvFUWY64cBiChOSG1b5WDhZHHBTmiDO/8lu3gu/8xv3hAFq3yPy6K15dR5zeKcJj6kLIvv1Q8MIL2bcDgZqYrlcXQ4hLtlRHiDu1XFtCnGtZ5u96sW0Kas0RZ8Y77t4teecgKxN27+a/f3kP44zy/vcXvrn+/jqa06/izBnZZY8HtqwYCQGlxlJCWojb4pF6iYqnrD+UEKdQNAKnK9cfzkTrk1U37lATCXHf/KZcvvSla5bvHDqUvyg1iZwsexNTHDrkzK6ZQtwOr1EI2bLFmRcqko4OiyNueTkzEFM4JsTVfTTlzAwkk+iaxjkGS+4PB3UmxK2soBlKvqfTfiGuko64+IK8RtRT2vswhTh9uQaFOGtOqtudLjKrPnEFcNddcP/9cPfdtm2yJSK/a0+/vUIcyAr1e+/N7lEZx8dJ98UAvHH0Gdtfs1YwXR69piOu3SiQqWhKRT5yCXGg4ikV6xKJQDtrhbhyHXFpIa6rq/RYBSumgrW4CIlEQUKcKbpcfDGZtgEbCHGdF8n8MqjPoSfsWb2pl+CI07qDcjkfsmUfFMJqIU45y0GLGEJcW2WFOPOneCJsFM+Wl2ti7mwKcelxV6HUmiNunXjHOB5u7z3Aq19d+OYq6ogDWWy5av/1YPe60cL5MPvDXX45eE8YY6FyHHHGl3cwpYS4ekUJcQpFI2BMfk+zpZRzQ0l4jQx7X2Qe4vHKvGi1WSeWcr32b1OGI66XC5w7Fc3/xDIwX39zynDE2aXslElWNCVkGjc0O8kkujEpt7NHXKWdT45gfJkX2wZI4mkeR5zl7+WEEFfJ70UybDjiShTiUj4R4mrBYpZKSbxUL8asdtUiDE31iVsfazTNl74k991zj9w+erTs2WNrVBxxvkH7hTgQMW5sTPTD666T+1xXXCZXyqkU1zhmcTnoMq5cfbVcKkecIh9KiFOUwNKSRD8D6K2yYGgXT3HyJERLnDItLkI3cm6wJZYSMtGUAAsLRTnidu4kI8Rt0Fg0eJGMWV3oLJ6eK3FnV1GCI87dJ090h0P27IMCyAhxbW0iSJw5U3xqRKPhMqIY9QoLceYiq5Mz7ZkY/RpwxXmiIsRp7XXuiFsn3vFGDtN3+/6i1khkCXEVeIMHHx7hbEpqeD/mpQB8d/kVHHx4pOhtmbGUL3kJmRODDdGUnfEL+IgqIa4OUUKcQtEIGJPfSjriWoeDJM1DSE2c7R0mEoHvf1+u5xDi1ptXzdHNCjLA2+p3xjJhFoAHo3kKIVWisxNi+IlpPrlDxVMK09Ppvo7nGCrL9WWlvT3jiEstVn9VX0kYxYpZvyhwTeOIMwSyKD4CXZ4Nnlwc1h5xesR5ccsU4sxeb8ViCnG14Ii7cEGMvGlH3OpmBoZSrBxxebBG00xPy30zM3J7zx55vAza41KobBl2RogDMT7efDO84Q1y+7hL+sTxTOM64sxTdZdmOOKuuUYuVY84RS50XQlxipJYXMw44rTduwG4xv0kqdRa91ChZEVTFmoB2wivNxNLPT9Ph7HGsGghboPVZW1dXuYIyrZP2JA6k0yiGTu56Ooq2GTjH5B98EVC5e+DIs2LL8rly14ml+o8aoliLNYBVibmWObspEa6gFYDLVc8MUOI66jzHnE50DWpHbo0+MVfLO7/9vXBLEYqicNz+oMH4bZ36vSmRJj9JL8PwKuj3+Ij7zzLwYPFbc8U4q69lsxYqJxoyp4e8EltbYgpJcTVIUqIUygaASOaspKOuL5Bd6bAXQODFse5/35YWZECw5VXrnl4714YGcnXDklLu+Ju2LKOda4MTEdc96LhiKuRaEpzxeiSy5ixrtfVvJkwrASTDDMw7E4vxCsXazRlKlynjjijWHFOE3XbNkfc8nJNOKzyYghxEdqKTiPZCKsjLrVYAUfconzOcW9pjjjdbzjiotUX4sxFDtva8ghxFkecEuJysE40DR6PPF4iiQR0pUSIC2zpKXk7hWKawh5ZbHwhzjxVd6SMKrMpxJ08ychmcyV/FXZMUZvMzWUivUZWrRZXQpxiHaxCHDfdBMCV2lMAJfeJy4qmtMsRBxlXXChUuiOugEFtyC3jjPCYDfNryw5qwa6C2/a2DAXlMhpSXQVsxBSXX/lKdR418awYQnyVhLiJCTJCXA044nyGEOcuUYjrZZYLFzJD7aoyMJBpgvhbv8WZwd1MMsQVNw8UXaqqVDRlMgm33w4dLNCC2LIf5FUc4hV4SPLL/CN33CHPKxRTiNuzfTaz7xdfXPpOahoMSW1xmEklxNUhSohTKBqBKjji+vvhPEZBshmEOGssZY5ZjNsNn/507kGPpmXiKd3T9gtxqVSmWBy4UHuOOICwVsCMtZlwoD8cyOKoqEvED71eHXGGqnwqUb4jLhiEMJ0kMCYBczbF/DiBg0JcSwusGI641JLzQpxuvEbSX6oQJ/uqrdSOELelzVheau0RB2khbhNnVTRlLtaJpuHwYXm8REIh6EEmtO1bnHPEmZhC3A8mmieasj1lOOKuvFIGM5EIm/0y5guH1SldYWC64QYGoHWVE9oqxNVEZVBRSywtWYS4668HoCcxQx8zJR9iHYmmtG5rfj4zv8mzvlDXM6JLsUJc2CfjjOXTNsyvjVjKCK0Eegpf9de2KQiIoFnLQ+d6Y7UQt7CgNf151Bs1hLjO6vSIqyUhTtfBG5f5u6er9GjKRKJGxmcDA1KoAuK/8VFu0A8zyhjv+Ejx8Y6VEuIOHZIyzQCS4hGmnWXa+H98CID38/dMnE5y6FBh2wuF4ORJuX51q7E6Y2Qk47AuFctCUCXE1R9KiFMoGoEqOOIGBppIiNP1dfvDmayuz5ps3gxbbzCyKx2o1M7Okl6t6J2qTUfcgq4ccVk4JMQBpFpl4K7XQMPpkjCKFS8uywypHEec2w3dPRpzGEX6Wo6nNP5eSwRsF+I0DfRWQ6CtQDSlKcSlfKVFU9Iijjithhxxm/zKEVdrhM4n6DR6C3n6nRfidu6UNiKPrhhC3NRUusjZaJgFnLaEcWVgIH0wbj8/lq5Hq1gtBZA/lhJgxw45Cc3PV73Iqag9FhczPeIYHITt2wHpE1eqI86RaEooyhE3OSnDOpfLeEtFCHFLrTLOiJ+1T4grpj8cgLtXnhwk1PDT/EoRCmVKJtdcAx0dMnlvdlecNyZCnLvCQpy50HNuDhI9tSHExeMQ0OXzKFqIMwpR/Zp8yWoinvLkSamjBQJ869Fhps5pBAf865XT8mIV4nQH5/NmytQgMqk7xyAA93IbF+hmG6d4Pd9JP28jHn9cLrduha5zRjJAOf3hTCzzz4kJ+e4o6gclxCkU9c7KSrrvinLEOcRPfyqj5LY2uOWWnE9JJuE3f1Ouf/CD8IMfZJz4P/whbLpOHHEFn7WLwNzkSO8ymjmArDFHXCipHHFZGLOuCTazbZu9m9bbjIF7pL6jKcdi5UdTQh31iXPQEQekV95plfheGBGgqZYSV/sZQpwrVjtC3KCrQYS4I0fg1lvlslIMDEiEitHPAJDPscyVQ+HTocwNO10PefB44IorxGW73GtUcBrUFRcOg0YKf8wokHd2Zvr5nTyZLmA1ewFRYbCeENfSQnqgo+IpFavIiqZsb0/H/5cjxDkWTWluqwAhzoylHB0FnxbP9EgtYFC70i7jjMS0DZX0EoU488lBQrVR0G8AzP5wg4PQ0QEDA1I5b/bzqN8Q4jzBygpxwWDGwL3YYoztqyzERSIQQBZmeruL/DyM+UmfJj/YmvjdGgfCxaGL+d9/IIlS732vtNwslq4umHfJfF4LhYrLhiwCY1qXdsRNI3OVKC18nvcB8EE+S6BAndSMpXzJS8icGGwU4kZck6RSamFcvaGEOIWi3jFGb0u0MUd3xRxxTSXEmW6417wmXSBezV13waOPSq3qD/9Q6pxmzerMGTJndQccceYmr+k1RvKBQEWKkoWQbmaOcsRl4aAjTguI+GE2v647DGX5LJvo6Mh8h0qlHoW4ct9zLrQ2Y7a54rwjTls2HHElCnFaqxxn3bHq9/QzxbVePY8QZxTV6kaIu+su6Xl6992Ve82RkUwui8mnPrW2l1SRLJ2RvKxFV0dps/oSMOMpJ7sMV1yD9olbWJDiuAsjSrCrKzOoGRtL/+mavYCoMFhPiAPVJ06RlzVC3K5dAFzJkzz7bGlppuGwQ9GUpiPOEk25kRC3cyeZiZrHs3YMkYN4l43z63mJFw4RLM4caHxuXcw3/DS/UphCnNkaanAwBjT3eVTXoSVpCnFFOsDKRNMsrjhPbTjilpYyQlypjrju1Cyg14QQ99OvyIHwvhd38uijct+BA3DwYPHb0jRw91kOYg5l5u7dK9OTwVVCHMBn+SAAb+EbfPy9E/zN37BhD01TiLv2WjJjoJ07y99Ro7Z4cbvUTVQ8ZX2hhDiFot6x9IcDrSqOOH2mwUfoG8RShsPwu78r13//9zMx4+YC4LEx0g1VnXTE7eqwFEIK7cbtMIGA7MoCyhGXhYNCnLlEy7VS3464s2wqqz+cST0KcU444tICbQW+F5op9q3uFVQgrjZDiIvXjiOuM7F+j7ghppiarNH+R+PjcPQoHDsGX/qS3HfPPXL76NHKzN5WViAWy9w2Z+TlbPKs/J4Xvc7HUppcdZVcPqtdLlcqIMQlk/DAA/DFL8qlQ4uAs1hYkAIsICKn35+OjFNCnGINSohTlMjSop6JpuzoSAtxu3iK+fmMkawYshxxdkZTluCIy+oPNzwsWZUbkOqR+bX7QvWiKa2OOCXE2YPZH27HDrkcGFBC3PJyRogv2gFmA6ZBdUavDSHO6ogr2HJlYsxPPCTpYr7qQtzBg/Cjf5YD4fNkhKdz5+C220oT47r7PYQwFkQ4NKd3u+HTn14bTQnwnHY5P2QvHpLsm/9HPvIRiZn97nfzby+nEGejI26bVwlx9YgS4hSKesfSH66jI69hy3b6+jJCXMyODPtaZXoaDh+W6296U86n/OmfSrF2xw74yEcy95uLx8fHcdQRZwpxF/trqz8cyHyzowPCyhGXjYNCnKvDEFySiezCdz2QTKZ/I5MMlx1LCXUkxDnYIw7A3S6imDseTTfOdoq02FdiI+paFOLal/M44gZlguYjTnyqBpaf5mJ0FPbsgd27M1XNmRm5vWdP5mTlJKvtgo88UvYmY+dkNeyyv3JCnOmIeyRsOOIcjqY8eFD+PLfcAu95j1yOjpZWwCiGcBg6MSrMXV2yoiZHNKWKwlEASohTlMxyKIoHY3WBxRF3lespQC/pEOtYNKXFEZdO/ChGiCt0UGuMM3wL9gpxpTji2lhmbipa/n4o0kKc6YhT0ZQy9TGFOH9P5YU4cywzmWgAIa6lJf1/+jhfVSEumYTbb4eLWSvEmS7nO+4ofmGZtU+ck3P6ffvgF96w1hE3MgKtt38IgP/e/ff09yR5+ml4/evhZ34me4iTTML3vgdPPCG3r7pSdySacgglxNUjSohTKOodiyOuUm44kMXRS0aedvxcjRYf7eC++2TEcN115LLnjI/DX/6lXP+Lv5DPxSTLEWcKcQ464kZdGxRCqkRnp3LEZaHr6Eb18gwjtveIc3dYBu5LdRZPef48JJPomsY5BpUjzkY8nRZRbNnZyEd31BDiAiUKcQFDNEzUihCn41/MI8T5fKR65b7OpbNOf7SlceCARGJZMWfCHo887jSmommKs489VvZCgcSMCHErbZUX4n447bwj7uBBWTW8ukg3MVH6auJCyXLEmdYPFU2pyIcS4hQlEp9bzNwIBOCyy8Dlojt1gUHOFd0nLhaTf+loylpyxBUoxHmHxNnSslRFR5wlI33p7Hz5+6HIIcQpR5xViHN1Vk+IO7XcAEIcpOcovcxWVYg7dEi+1ztzCHEgU5DTp+V5xVApIQ7goraMI+5v/kZS/U+ehOv/9J3Q00PH3Gle/My3ueMOmUp94xvS4vSjH5X0/9FReN3rMmLju145KV94tzuTMFEORm2xJ6qEuHpECXEKRb1jOOJOsbVi/eFMEsEmiKbcIJbyd34HolG4+WZ429uyHzMFlvFxMtGUU1O2u1HM+uZwwiiE1JAjDqSGpxxxFmZn0aKyunS+bZOtNQIAf4ePOEbRPVJn8ZRGsWKhdZAknuZyxDktxHVYYiKdFuKM3m6moFb0/w+II85bI0JcJwviMIW10ZSAtkkmQzXbJ27//oyzezWHD8vjTmN+MLt3SzEzGoUnnyxrk6lZKbTG2nvK3LnCGRyU+OmnMYS4EyckdtNmzNXEufojlbOauFAWFlY54iA7mnKz7EQzFxAVBvF4RmjYSIh74YXKZKsq6gZTiIt5WqVA2dqazu7bxVNFO+IWDV3PEUecuS1Lj7hc05pUapXoUqQQ59sk8+vAig2V9FIdcW43K355k8uTofL3Q7FGiBscVI64SGRVj8gKYwpxLy7UhhBn7RFXkhBnzFGq7YibnAQ/K2xFalOrhTjr84qhkkJc/Kw44mYY4IMflFqf2404D9/3PgA6vvBZ/uqvxPX2pjfJcOj//B9473vX/q47JmUh0mL/dnv6WhtCXGBpGhdJJcTVGUqIUyjqHWMV6mm2VNQRB6AbLgCXHRn2tUgsBt/5jlzPIcT96EfSbkfT4K/+am1bNsvi8XR8GYmE7QMHcxDTFzGiKWvZEaeEuPTIbIpBhrf5bG/nFwiImAPUnyPOKFbM+mRwaYcjrqen/oQ4y0Jk22hrd7GCP+u1nMIbl+272ktzxJlCnCdZXSEuHheTZi/GbLatLWffO204I8Q5kD7sDJXuI2p+MENDcP31cv3hh8vapDYnv+dkR+UccSCuuCmGiLV2ZldcbcRcTZyPUlcTF0o4nMMRNzIiedMrK4y2irDazAVEhcHEhHwh/X7yTkS2bgWfTwR4YwGhQgGQWpB5QcxvGfgY8ZRX8mTRjjhHhThzUcIGjrizZ2V9htttzAWLFOJatxgu+1gVHXFAPCD/IT4TKn8/mpylJUsrCeWIS2N1xFVDiDN/ks9dMM5dCwtynqoSWcJkGUJcL7NV7e04PAwXcQIXOgt0ZMU7rn5eMVRSiNMnZZwb7RpYq5t98INy+Y1vwJkzXHYZfPOb8O//vjaAxMSM6TwcusSe9UgDA+By4dJTDDCthLg6QwlxCkW9U0VHnGdQTvbe+QYV4j73OalG9fTIKn4LqRT85m/K9V/5FaMB6ypMR9ypU5ByezORZjbHU5qb6wzVgSNORVM62h8OZB6zhDF4rzdHnPFlntRkZtRUjjiHe8QFArCMISI57IgzhTh3iUKcp12EOF+yujmPZju1QVeeWEoT44tas444kAmbVeEdHhZRrFIDh1xCXJl94twL4ojT7bYVb4DEU2qc7XIunrLQYYIDaddAHkecz5deHbEpNgbA7KwjhkBFPXHKMvZ0uUgm4YEH4ItflMtkElEkzOqziqdUWEjNS9E50WIZ+BhCXCmOOFnvp2eEOCeiKS2OuOVlWbRjxYyl3G4aH4oU4jq2y1gjmJqTBZzlUKojDkh1BgFIzobK2wcFJ07IZXd35is5OChC3Nxc/a2btItqC3Hmgs/j00HD7gTVVLCyoilL+TxqJJpy7154aa81ljJ78Z+myZBh797ittvfX7k5vWtWJoH6wODaBy+7DF75SikI/uM/pu9ub89/yL4EGfs8sbLTnkV0bnd6DjfMpNQbnW0Br7ARJcQpFPWMrlfVEWdGZ/iii41Zifn7v5fLoSFZBW7hX/5Faojt7fDJT+b+7yMjco6MxYwapLnsx2bLhBTidFrO164jTkVTWrAIcXb3h4PGcMSNx6VY0Uw94pJhZ6Mp29st3wunHXEJEdCy4jCLwBTi/PpK2TWocjAP1RcHNxDihms8mhLkhGTNT37LW8SubTb7chrzgxkaghtukOtlCnGeRRHiXD2VFeKuukounzXjKYutFBfA6lXCuznCD7iV3RxZ93l2kbNHHKSt/p0XxtLmUKPlqaJZOZ0Zex48KF+RW26B97xHLkdHjX6Gqk+cIgd6WIrwydbcQtzYWHFTzMVFKex7MCwHDjnirOtaVk9tsvrDQdFCXNdoNymjcJ2cKXPcWoYjji75D/pcqLx9UKyJpQQIBFK0t0vMc7OeRyNLek0IcROTLnRzjF/FeMrIfBwfhrJfx9GUbjfc8ebc/eHMQI4778xon4WS5Yhz8g3GYngXQwB4NuVZsPihD8nl5z6Xjtxeb3GcKcQd5xL7FtEZk4BNTBKNZhaQKmofJcQpFPXM/Hw6g+M0WyruiGvf3EUC4wxazbO9nYyPw9Gj8u+JJ+S+iQk4dkzuGx9naQk+9jF56BOfyLR/W43HkxngZfWJs3EJ++KiaC3dzOGKGKJLpQqrBdLRYYmmVI44xx1xgYDFEVenQtyJiDGwbCJHXGIhI8SVMvfaiCxHnMNCnC8p2/d0luaI83bKfrawUs2EmLQQN9phnN9y9IcDsoS4mo6mtApGU1MSJVcpzA9mcDDjiHvqqbKOUS0REeLc/ZXrEQemIw4OL1wmVxxwxO3dK6dys2DxXu7iVu7nF7gbKH01cSFEo7KAaI0jDtJ94rTxsfRQo5ljtRSkFwSO61u57ba134eJCbjtNngOJcQp1uJaEhUr1WZRtq68EhAhLpXSi0r/XVy0xFJ6vTnjpEvG4oizbnr11KZcIa5nwEMIea3wyTLdOWUIca5e+Q+uhVB5+6DIKcSZ53Fo3vPociiaEc2rIMSZi5miUUj2VL9PXDxkGROXMhmsEUccwFUtuYW4kRG4917Yt6/4bfb1wSzGXMzJOb2haMXx0L4lz2K/fftkXnj6NNx3H7D+4ridRjTlcS6xbxGdsaHLg1JbVPGU9YMS4hSKesaY/Ia8fazQWnFHXP+AxnmM1UPVDKK2k9FR2LNH/pkBzgsLEk25Zw+MjvLnfy5zqtFRuOOOjTcHRp84BxxxpqZ3aauxIrm/395Jpw0oR9wqKinE1Wk05emUEfVnw0DVKsTptSzEGY64mKfNlh7Oq8lySjoYTanr0GIIcb6u0o5F3g5xxLWwUlWztWni2tpWmCNuE2dr1xGXSsHTT2duV1oxtDriNm2Sf6mULHIpkbYV+T37BivriLviCjHJH404F03pdsNnPzHOdfpRXsIx3sWXAHg393Adx7hOP8r/+93xolcTF4J5ml7PEcfJk0qIUwjGXOTgka3o+tqHzfs+96AS4hRr0ZZkQakesBThL7kE3G6CzLOJs0X1iQuHZXEiIBmAdvZDtTji0PW0K25dIW5lJVMwLlCI8/nggibjjfBYefNrvYxoSm9fUPZnObQmflNRHLmEOMgs2G3W82jswmLmhhOrEDfA788M7Zfbqy/EJeZFiEtoHjkQFEuNOOKA9IHweXZyww3whS/A/ffDyZOliXBQwR5xhhA3Qz+Dw3kkk5YWeN/75PpnPwusXURn4iLJDl4EYGl4p32L6Iz55yUdSoirN5QQp1DUM0YczFmPVPMr7Yjr76fxhLgDB9Z2WTWrCB4Ps58+wJ/9mdz88z+Xc/B6mNGD4+NkVAUbHXHmpq4O1mZ/OJAannLEWTBmWxNsdkyIq/doyrNsYmAAWwQpqxCnhcNrm3nUCKmw/K30ltJcZBuR9b1wUKCNx6EFEfq8XaW9F3egNoQ4U6sa9jZANOWpU9l/d6eai+XD6ogDW/rEBeJSbG0ZrqwQ19oqBdZnzGjK555zpDHDGz88yhH2cIzdDCBFgX5mOMpujrCHN3541PbXhMxpuseTwxFnWV2UjnRq0kgthYEhxD0Zzj+g0XV4aE4JcYq1uJZzxNL5/Wk72ZU8WVT6b5Yjzs5YSuv2EgmIRNJrFNYV4sxzn99fVL+6eZ+MN5ZPl1dNN2MlS3HE+QbkPwQJ1XKgRF3wotTg1whxIyNSY2hWIS4+J7//qLu1+JxCmzDHMost1RfikgsyF4x5SxQlLY64pSWqmipiFeJuuQV+7ufg5pvL+zNbhThHF9cak7lzDOZNvgLgAx+Qy29+E06fxu2GT39a7rKKcVs5hZ8YK/j57f+7xb6vujH/HPUrIa7eUEKcQlHPGJPfUykRXyruiGtEIW7/fjh8OPdjhw9z+8P7WV6WFS/vfOfGm8tyxDkQTZl2xLXVZn84UI641egOO+La2+vfETfJsC394QDa2mDFH8zcMTdnz4ZNjhyBW2+VyzLQl+RvlWp1ZkVoe7slmtJBR9zyMrQh78XfXaKo2FJbQtyAqwghbiqHJaQWeOopuTQLgVNT5LSvOEEqlWlcYJ4Hy+wTp+vQmZTfctvmygpxIPGUJ9lOwu2TL70xHrOVAwdIumRhkDmfd5FZGMSBA/a/JpnTdK87hyPOiKZkTEVTKgwsvarX47gZTTk2VuXqoKKW8BhCnNa5KpbO0ieuGEeco0JcIJCpIs/Ppw+N1qlNKpURXXbuJDuWsgh33mKLjDeiE2XMr1MptLCohLHWYNEGG1dPEBB3dNXdNXWO6YjbsSP7/mZ3xCXnDSHOW/lYShPzb3DBYxTSqljTMj+PuK/EuaDFEQdV7BwTiaS/1M+zMx3pXi5ZQtys8464aQbWT+e57DJ41avkwP+P/wiI2+/ee7P73Jv94aJbd7LvNhslGDORRZP6iRNTEYUzKCFOoahnDEfcCzHliLOV1SuhXHKofOIJ+Jd/kXnUX/1VYfOpnI44GyPBzE1d5K0TR1wkIitJmxVdRz9tOuJGHGnnV7eOuGQy/YU+yyZb+sOZdPe5mTP6bdi+rPeuuyRr4+67y9uOIcTpbfXtiLMKcWavt6IxhLhWlmtCiOvRC+sR18oKS2fnK7BnJWAKcTffLJfxeOV6Js7NZZyo5kDFdMQ9/HBJm1xczMSPtW+tbI84ECEuiYepdqP3hQPxlOzfz4euyb8wiP377X9NMu6OoHt9R9zIJnEBNmsBUWFgLgpk/ZVF0wyQCHSKim4qFYqmxxcVFcvd1ZH9QIlC3JpoSjvRtKx4ylyOuNOnRWf2eo21kUX2hzNZbpP5dWKqjPn1wgKaseBGC3Zt8OQcGEJmkFBDTfMrTTSaKZCvdcTJZbOeR03hKVYDQtyMXn1HnJmOkihViDMWDPa7ZN5SNSHOOMfPEWSWXtuEuLY2WPJVQIgzHHHTDKzviAP40Ifk8nOfS9e49u2TNUf33y+RnH/zERHiunbvzLOREjHmn31x5YirN5QQp1DUM+kG6SK+5Fus7xRWIU6faaAR+qOPymUgAH/3d7B7N/rQEJ/4ZYj3XQABAABJREFUtBQQ3/c+aRlXCJVyxI3odeKIA6mgNivz87giMshODW92rBdY2hFXT0LczAwkk+hoTDNgmyMOsuMpbREfxsfh6FGSjxwjdrf0borddQ/JR47B0aOljYSXRbzSHBTiKuGIi0REQAPQAo3hiOuMb+CIa20l2RkEwHWuwpGPhWIKcS95CfQYv4VKxVOmFc2eTM+LPXvk8sSJkioFoekY7cjxrXVT5R1xV10ll89wmVwpJjutQOJxeOap7MhLXXN+6pYW4nL1iBsZEUdILMaOgPxdVTRlEzM/n/7CpDZtybtATdNgyxYN9+UqnlKRjS8mcwJ316pC/JVXAiLEPfts4QZuRx1xkBHiLI44qxBnxlJedJHR6aBEIS7WZcP82ugPF6GVQI+/+P+vhDhbOHlSvr/t7WsXTW/e3NzRlKkFQ4jzV0+IM3+aE/HqC3HmvD3RUuLnYSwY7EmdB/TqCXGWWEqvV+PSS+3ZrKaB1itzGNf8nCzidQLDEbdhNCWI6tbbKz/i++5L3+12y9rHn/s52IlxYrjkEnv30xDiOpeUEFdvKCFOoahnDEfcKbbS1SXx85XEKsTFzjbQCP2BB+Ty935PVrkcPsyXPzXGvz86QiAAf/RHhW/K6ojTh+x3xJl11MFobTviYviJaUYBtpn7xBkzrVl6GBh1TnCpy2hK48u80DpIEo+tjjjbhbjRUdizB/cNu/GGZLDuCc3gvmG3CAymAl8ELkOIc7U3jiOOUkXFVhEMa0WICyxvIMRBejLUFTnrpM5ZOk8/LZe7djnizl4Xs3GedTbb3Z3uAVRKrGv4VCZitqSV/mViru59JGz0iXPAEffEE9AWyxyvUsDc9uvkc3QwAsGMWevQczjiPJ70OGObPgY0bwFRQcbm0dvLn/517hX8pjh3552gXaKEOEWGRAJaklKI93bnj6ZcWNAL7r8aDjssxJnbzOOIM4W4tPOpRCEuGZSCunahfCGulP5wQPrYr4S48rD2h1u9WKHZHXF6WH7/JQtPNmAu/Dy1XH0hTl8UIS5ZapsCY57iI047i1UX4l7gYq64wp6e7yaeAaPvu67LYiAHSE5moik3FOL8fvjFX5Trn/1s7ueYY56dzjji/KEpQFdCXB2hhDiFop6x9GWodH84kFpp2NdgQtz8PPzHf8j1d7wDgOUVjd/+PVE5P/ax4uZSW7bIoHt5GWa9xpl8YcG2QrgpxHWHa9sRB7CkqT5xONwfDuo4mtIoVsx45QdWy464R24/QJzcvZvieHjk9uJ7N7lX5G/l7nSmR1zFHHFLOm2GI84U1IrG6ohbrl7PNVOn8oeN81u+aErAtdnSJ67AgmHFSKUyQtwVVzjizl4X84McHMy+v4x4yqUzIsQtuLrK6/xeItu2QUcHPJkyhDgHHHE/+QlcTma7LuDrH/meWOydyDU2MIvK7akcjjhILzQYXjkJyNfITB5VNBmmELd1a7ovyuqCWzAo9+/bR2Y1uBLiFMgQtQOZE/h6V0VT7twJXi8dLLKVUwUfYq2xxbZHU0LBjrh0vbVEIY5emV975+0R4kr6KJQjzhbM/nCrYykhcyqfmaGqC8+qhpGSk2ytvhD34nz1hTjNTM0pVYhra0vPofo4X3Uhzs7+cCbBfi8LZtKSQxH7sdMykZt1Dxa2iOEDH5DLb30rbZTIwhzz2O2IM+ZzrniMHi4wP++YNqmwGSXEKRT1SjKZzgM6xdaK94czMaMzkucaZIT+rW9JRenyyzF99H/5l3JO3bIFPvrR4jbn92fMByfPd2QcIjY5EaamwEWStjljKV0NOuI6jLHSgpajq3mzYfxmzzCSdkvaTXt7nTrijGLFJEbj4Rp1xCWTsO8r+7mR3L2bbuIw7zy4v+i0DHdM/lbuDmccce3tlXHERectlYRSHXHGJNKFTnSxOhX+pSXzUKXjDhkz2XUccdpwRoirlNGsYMbH5W/u80klqBYccZAR4h55pOhNLp+VQuuit/KxlCCtY6+8Ep41oykdcMQ99BC8igez7luZDDkef2AWldsSORxxkBbiOufG8HgkcqvmvvOKymAR4gDe+tbMQ2Y7ype/3BDhQAlxiiyWlqCdPNGUXm/6+1JMnzjHoyktjrj0/MYBIc49KOMN/2IZlfRyHXFKiLMFU4jbsWPtY93dmTVr5lelmdCW5PefqqIQZ/40j18wxvhVFOJcyyLE6W1lLMo0Fg32MtuQQlxfn80pNzlInRNHXKJnIG/kdhaXXiqDnlQK/uEfsh+LRjOZkXYLcX5/ut3A5V0qnrKeUEKcQlGvnDsH8Tgpl5tJhqviiANIdRuDlgvVOtPbzNe+BkDqrW/ngQfgM5+BP/xDeehTnyrN4GGm1I2f0jIFUJucCJOTMMQUrlRSXAHm9msIc8XofCrHjLXZUI64/Bi/ibFYbTviDh3KHSGjWy5Pn5bnFYyu4zWEOG9XffeIi4UsIl+ZjjiA+EJ1ch5N7WiwZQHNaL69niPOnMnXpCPO7A936aUSLVgrjrgbbpDLhx8uvAGQQXRKhLglf0+5e1cyV18Nz2E0vjh/HrsrlT/5sc4r+WHWfbHpkK2vkYtwGDzE8SeN395qR9z27QC4xscyvVVUn7jmZJUQ98ILspYtEJAoSoDvf98yFFFCnMLC4mJGiNM6chTiLfGUhTriwmGLI85JIc5hR5x3WObXgUgVoyktQlzVCvoNwHqOOE1r7nhKV0R+/3qg+o645+aMYtqFC871HtsAMx1FC5QhxBmLBpUQVzruGZnI6QODGzzTwgc/KJef+5zkLpucOCECXUeHM7HyRu3v6n4lxNUTSohTKOoVY/K70LGZFO6qOeJc/VKY9IQaYKncyoo44oC3/dPbueUW+K//VRay+HzyrxRM59PYGLYWQGMxqfttxSiEbN5clYiujUhPVHUVTVkpIc50xKXCdSTEGcWKF1ekWFGrjjjzpzvNADEjnhJghRYmGWKagaznFUQ0imZIeU4KcaZAm1p0zhFnCnFxzSuiTylYDraJxepk9Zhi2mV9xrktEFhfWByu4WhKa384sH1ByIaYQtxqR9y118o569y5oitQyRn5Ha+0VscRByLERQhwrtU4ydsYTzkzA/4TT9PPefTWVi50XwRA4nzIttfIx8ICdGKpLOeJpuTkyaYuICpYI8SZmv8VV8jvY/t2GVp/97vG80114tw5lZ+kyBLiaM9RiL/ySqAMR5yT0ZSWHnHmtCaZlJorlC/EtW6RYnpHrPrRlAEihKZjpe9Hk7OeEAfNLcS5l9f5/VeIvj6ZdsxiLLbTdaqlYHlWzM+jfEdc1aIpFxfT84u6FOJSKbzz4or0bi6iwLpvn+zcxES6nghkx1IWZK8rEmNOd5lyxNUVSohTKOoVI394tk2iCKvliPMMGdEZ4QYQ4v7jP2BxkTNs5pvTe7IeisXgZ38WDh4sfrOmEDc+jq2RYGaxd9RVu/3hwBJNSY6lo81GhYW4ZLg+oym93nVTAIvGTiEu/RNmiCQZ4buVFa7nYSYYyXpeQVici76g8464xIJz3wvTwRZ1l/E+NI2oS1xx1RLizEP0jqAxi13PDQdZQlzNxfRZq+NQO9GUbW3pQmux8ZSpWXE8xAPVE+Kuukoun9Htj6e0xlJqL3sZ0S4pBqQuhGx7jXwsLEAXhkjS1rZWUDeFuLGxpi4gKsgrxO3aJfWmt79dbhthEyLqmscB0zqkaFqsPeLSkwUrJTjiKhZNmcMRd+qUOEJ9PqNTwNJSRnAuUogLbDOEuOR86U04y3XEWRZhrJxTwnkpJBLGQlyUEJcLb3QdR2yF0DT5eSbxEO805opViqf0xGQ+6Crn86i2I85QnmfpwdPfsyYMo1yyhDgn3uDcHO6UONpatxZRYPX74Rd/Ua5/9rOZ+82xjt2xlCbGnG57ixLi6gklxCkU9Yox+Z3yyuS3Wo64lhGjmXR8ub76UeUgdfCrAHydt6HnOTzecUfxaQWWmpWtjjizhrqrI7sQUmv4fJI0F0Y54lKnnBfivF6IGSJIXTnijN/EWTaxaZO9i8bsFOL27pVJ8yU8TytRFgnwBCIm3MRhNE0KMHv3FrFR49gZxUd7sEQX2Qb4fBB1yfciuehc3GN83ngv5QhxQNxtiIZVFuK2dxiLTDZSho2J0CbO1p4jzqiOJy/fxQMPwA+ekvOQXmFH3E/PDfLFL8IDD1jOo6X2iZsTIS7RWX0h7tGVy+WKjULcT35i6Q93882kOoNyfT5k22vkIxy2OOJW94eDdDQlp06xZZP8IZuxgLgeyaR8z9d83xuNdYQ4gLe9TS6/8Q1LUpOKp1QYbOiIM75IV/A04ydTrBQwHHA8mjKHI84U4sx6644dRkCJeY4NBHILjeu9zLYgKYyBcKnF5nIdcR4PiTbZ70q4sRuRU6fk2NfSkl+LVUIcuDqrJ8RB5m+z3G4IL1US4nyGEOfurGNH3KpYSrtNYI474qalP9wcQfo2F9mT+QMfkMv77suMj8yxTtombTPG/HPErYS4ekIJcQpFvWI44k5RXUdc1+Z2ohgxYvXcyTmZJHHw3wD4Ku/I+RRdL6H3E8454sz53cV+wxG3ZUvZ23SKzk7liAPQjVnWXNuII/UBk2SLDOD1ehLHDUfcWTbZ2h8O7BXi3G749KfhGh4H4Amu4gFuBuBVRj+nO+8sMiXW+DtFaHMsnUXTIOk3hTjnvhemCzPuKbE/nEHcI4645FJ1hbgtrcUJcTUXTZlKpQWiW399l0Qu/5Hs68LxqZJc3sWyMi4fyHt/Z4j3vAduuUUWqBw8SKZPXJFCnGteCq16sHo94oJB0R+exXDE2RhN+dBPdG7mAbnxqldBUKqobuN9O0mWI251LCVIxcrjgXicS9rluK16xGU4eFC+37fcwtrveyORSGT+8HmEuJe/3Dj/XoD//E/j/ykhTmGwoRC3Ywe6z0eACNsYK8hE6Xg05TqOuHX7wxVZje4dcKfHrfGp8oW4Uuccepf8x+QF5YgrBTOW8qKLwGWtvB45ws5f/VU4cqS5hThTeOqqrhBnzjvDLVUW4uLyeXi66rhHnIP94UBqnukYUQeFuGkG1gR5bMgll8igL5WCf/gHuc8aTekExvyzPyHnGyXE1QdKiFMo6hVjlcWJeHUdcf0DGucxCpT1LMT95Cf45qaZI8iDvGrdpxZrIrA64vRB+xxx5ia2uWrbEQdSy2t6R9ziIu6FEADurZsdiQlP02a4kZbqxBGXTKaVj0mGbe0PB/YKcSAx8P/jbSLEPc41/JBXAnCL54fce688XhQVEOIA9BYRx/SIc4645JJsO+4tzxGX8NRGNOWwtzghroNFFs4uOrhnRTI+DpEIUXz86NwOQGJVAbr0eX7+ncuOCgQH/zWJNyST2nNk8mkmJuC22+AHCxZHXCpV8Ha9i/I71nqq54gDccU9g72OuEQCQoefY5BpUv4WuOEGXD1BALxLIVteYz2yesTlcsS53enxxsWeMaA5C4i5OHhQvterPw/z+95QYtzkpJy7vV4YGiIez9SbTCHO44Gf+Rm5no6nVEKcwmAxrGeEuFyOMY8H7TJZ6FBon7jlcIJOM+7SYUdcOnq/ECGuSIJB0vPrxbES59flOuIArTsIgGcpREy1iSuafP3htAMH6DxyBO1f/qWphTh/Qn7/nmBtCHEX3NUT4nQd/AkbhLgac8TZjeOOOGM15TkGixfiAD74Qbn83OdkQF+haMpgxD5HXNOkOlQRJcQpFPWK4Yh7LlJdR1x/P40hxBkVgm/wFhJ4131qUb2fyOhj4TAsdtjviNuUUI64usBYOb5AB73bc7gMbERvkwG8FqkTIW5mBlIpUpqLaQYcdcTpNg3aRy6IEPe05xoWr5Ucyl2Jn7LvlhIcK4Zg6rQQl2oxBVrnHHEpwxGX8JUnxCUNIc5J0XA9zEN0n1Zgj7iODhKt8sdLTVQo8rEAkj8Vi8pzXEoSiT2dp4tl5PMdYqqkyOWCXjsJf3D7LG5SpNCYITNQ0XW5/MCdu9BbWuS8UETPKH9EfmfuvuoKcVdfbRHiDNGzXJ56Cq5fNvrD3XQT+P14+oIA+CKhsre/EeHwBo44SK8w2pIcA5qzgLiaZBJuvz3z3d7NEX7ArezmSPo+p35rVcGMXRoZAZeL55+XVlYdHdnDUTOe8utfNz4bJcQpDKKhZdwYCzDyDX6MPqKFCHG6Dq6wxbnlZI+4daIp7RDi3G4IuWV+vTRevhBX6kfhNhaBBAlVp6hf52QJcePjcPQoHDuG9oUvAKB96UvsDB/jOo6ijzWflaWlxoS4ab16QlwsBm3IfNAbtMcRd+FCUWvcbEGvoBCnz9aYIw7gHe+QnTx7Fr785cx5wOFoytZ5mXueO0dBMc75aJpUhyqjhDiFol4xJsBPLlTZEdcIQpyup4W4Qz1vz+tUKqn3E2JOMv8+EylDiLPREdcXqX1HXEeHcsSZlUon+8OlCcgA3rVSJ9GUxiB1vmWQJB7bHXHBIMyZq+dCIVsqoZ4nHwNg5dJreOsHh3iWS9HQ4Uc/Kn5jRvF+iYCjQpwrYMRFrjgnbumGyJf0lRdNmfSKUJSKVNcR15Mq0BEHpAbk+O6ZqR0hbuxbIsQ9xS7LvRqTyL4OMVlS5HIhHDoEqUn5IM/TlxYCTXQdTp7xsrDjOrmjiHjK1hUR4nyD1RfiztPHvKdH3pAN4oK1P5x2szj0/YNBAFqjobSo4xQbOuIg3Seuf/EkIIfwShd7ao1Dh7IFyfdyF7dyP7/A3UDp8eY1S57+cFdckZ3C97rXQWurpEL89KdkC3FOf5kVNU3sgsU93pZn8Y5hr9zFUxum/66sQKceAkAPBMStaTfmMdESTRkOy1fZTiEOIOyXccfKmfKEuHm6SnfEBeX9KiGuNF58US4vvhipZu/ZA7t3Z5w8MzNc/vO7OcoeHpkZJR6v1p5WnlQK2lJyDPD11EaPuLOx6glxkUgmqtfXbY8jLpWC+QqnyqaOi/r8oraTK66wf/vWxbXJGfuFOH0q44grdvE9AH4//OIvyvVPfEIu+/udWRgCaSHOdW6SQJuMqczhWbE0VapDlVFCnEJRj6yspFdrjOuy7LSAGqEjWIU4faZOhbgnn5SRcksLb/7rN+R8illUKLr3k4HZJ+7ksrG0Znq6bDFgagpaWCYQMQaLyhFX21iEOPP74BSudilouJfrxBFnFCtmPDKYtNsR53aT7hWi6Xr5s5KZGVrnJkmh4dt9FTffTDqeMvEfDxa/PUs0Za50JtswCl3asnMCrelgM/vRlUrSZzjilqsrxHXGChfiXJuNeJDlsyxXx8i3BtfTuYS4TDzlMCIa2rA2ZA2Tk+K4s75eLqa2GPGUDz9c8LYDMRHi/MPV6xEHEk0JGk/r9sVTPvQTPS3E8SoR4lqG5fgVZM7xtSwb9oiDtCOu48IYmiYruet1LZZdTE7CVsa5jqO8hGO8m3sAeDf38BLE8bCVcUd+a1VhHSHOSlsbvPa1cv3rXyfTLCkcprYaaioqTXxOis5Rb2BVAy0LhhB3JU9u6IjL6g/nVNEzhyMulZLj5klZl5CJISxTiFtuk4J6fLK0g6s+F5JdLcMRZ/7HIKGmP8aXgumI27EDOHBA8noBc62CZixGiONhPwca5/xQAFbhyd9bG4648Uj1hLilJQhgYzSlkehRUQF9YQH3jHFe37mTlhb7X8Lvh5VWGfunHHDExc5kHHGDgxs8OR9mPOXYmFyWpOgViLFtLRLhii0yQSglnnJ1qoOVhkx1qDJKiFMo6hGjoJ9qbeMCPXR3O7PorxCsQlzsbJ2O0M3GFa99LW97T4B//de1PbVHRiit95OB2Sfu+Fy/TDZTqbIHeZOTMIKxZCUQcKYpuU2oHnFU1BGntRuOuGSculheacw8J1JSrLDbEQfQ2ecjjDHRKzee8nGJpXyRHey8roPLLoPHO0WIi3z7h8Vvr0I94kxHnCvqoEpkvBe9pTwhLmU46qohxOl6RohrixjntY2iKQH3FpkMDTNZM/XlvumngbVCXMYRJ2/UiTni8DAMIh/EekJc8jpLn7gC6UrKb7htc3XPe5dcAj4fPJk0hLiNLBsFMPHDF9nMWZIeH9x0EwDe/iAgxdC5EtJvC0XX5RS9oSPOGNS4T42lCxXNHk85PAzjjHKUPRxjN/3IGG+AaY4hjodxRh2tx1SUPELcrl1rn/r2t8vl176GVNHSg2IVT9nMpOZlPhD1rbMCyfhCXcazHH8mua6JMhyGbuQAqTk1JzKPiUtLtPkSaf3wpz+VdkAtLaR7fpUrxEU7ZH6dmi5RiDMccQtasPRFXkqIK5lUapUjbv9+OHw453P3bTrMF9jfVOfRWhTiXlwwhLgqfNkjkYwQV9Zk0BJNCRUW4gzleZp+LnpJnvGjHfSIEKddsP/NmULcYutA6ULizp1w662Z207WYtrb09+XawZK7xO3OtVhNQ2X6lBllBCnUNQjRn+45f6tgFa1/nAg+s+8x4jOmKjTEfpXvyqX73gHAK94RWblx+c/D/ffL6scSxXhIOOIGzvtzuRUlrnsTVZfG4WQLVvWqoc1RJYjTglxjgtx3i6LCGJDzyLHMYoVJ2NSrLDbEQfZURZ2CXGPcw1XXmn89F4pQlz7c0dlWXYxVEqIM52SUee+E5oRe6m3lBdNmfIbs59ygu5LJBQShw+Ab9GY5BXgiNOGM0KcDW1AyyeVov2MOLSeIdumYgpjm5gsKXK5EPbuhUu75IM4x9plpWbc86U/bwhxjz1W0GQ1FoOgLsXW9i3VFeK8XnEAPctlckeZjrjZWdg6Jm641J4bJNMP0LqDgPNC3PKyrHbd0BFnRFNy8mS66NxMBcRc7N0LH+k5QJxVjgfjMo6H3+g54MhvrSoUIcS95S2yBu3RR43/pvrEKYDkvIyVEi3rDHy2b0dvaaGVFfoXT6x7bq2II86yOEFbyMRTHj0qlzt2WMx9ZQpxiaAx7iil2JxKoYVlQUWqM5jXcLghSogrmYkJiEbFBJee90WjWc/Rjbl7My5oWVrKCHGujjIcYDZg/kTPVDmaMi3EBcp3xLXqy7QSqawQ53B/OBNXn8znPeE523PRU5OygDDeU6IdzuwFaUYBgAx8jh2T+0tRyTbCmH9eHixdiCu0LNlMrl0nUUKcQlGPGJPfxaBEEVarP5yJuWIvMVWHI/TxcakMuFxSKSCzem3rVnjve+Hmm0uLo7RiLv4dGyNjPSijUptKyX/fgoiytdwfDlY54po0mlI/MwFURojzdfhJmqf4pTqIpzSKFafi8ttwwhFnpxCXOJYR4iSaDq5681bG2IYrlZQmT8Vsb17+Rk73iPN2SlHfHXPOEWfGXur5+r0UiG4IcVq08kKc6WYLBsE1W3g0pfnFrRlH3NgYWiRC0uPjRXZkPWR1xJUaubwRbjf8l1eZvRZyO+LuvBPcl14sH/bKikRFb0BoaoVW5HvRsbX6TvCrroJnsCea8vBhuJkHAPC+5ubMA5ZiqJNCnHl6LtQRx+nTbBlOAFJ0bGbcbrjl7/dzE7kdDzdxmJv/fr8jv7WqYBHiYrFMf6xcQlx/P7z85XL9619HCXEKAPRwAUKc241m5J1u1CcuHK6AEOf1ZvrZza8V4tL94XQ9I8SVaIPVe2Xc4ZkrYX69sJCOPTT7vJWEEuJKxoyl3L49nUiZ+U6YXHwxDA3RslWKOc0qxDk6+SmAtjb5qs9QG9GUZQlxHR3pqKxeZhtSiPMOGo44MxfYRlyz4ojT+0sssJq9ID/+8cx9S0vSG3LPnsz42U6Mc8yOttKFuEJPUw2T6lBllBCnUNQjhiNutl2q+dV0xEFmxZ5eYnRGVTFjKffuTX+QphC3Y0fu/1IKpiNufBwYMgqSZSwpuXBBIlCyHHE1jIqmhMSYzK7OaiOOCE1WAu0aSxiD+HpwxBm/hbNsorPTmfmYnUJc7BER4sY6r0kvhLjlFmufuOLiKWOhyjjiPJ1SPPIkY46FvKfddq3lCXGYQtxK5ZutmWskhgb1TKZLIULccI1FUz4tsZTuKy7jS1/xZAkApiPuzddNluX23ohLOuTDXGxfu7L0M58xnOYul0xOoaA+cQvjokQlceHuzuPYqiBXX21xxB0/XtZvK1d/OCCrGGqkjTmCeXru9WzgiBselkzOZJJdQWORSRMVEPOxbx/8wR9k32cm6f35n5eXrFBzWIS455+XMWlnpyWWbxVZ8ZRKiFNA+oCTatsgN9FQd3fx1Lp94hYXM9GUjsb1W/rEmZGPa4S4cDizEK7EyqXWL+MOX7iE+bVxolimhUBvGY2alBBXMlmxlCarlGT9t34LxsZou0QOnM10Hl2aT6QXVVVbiANJY0kLcefP526W5SC2OeI0LdMnjvMVFeKSz1VGiAsO+lk06xzlptyswh+SCZxnc4mOOEsvyDV4PPK43RjnmC2e0oW4vXvzj98gk2LSMKkOVUYJcQpFPWJMfqd9teGIMwuUrrlKLrmxCVOIMysEOCPEmYtfxsexxRFnang7/fXjiEtHUzapI44JmV3FBkYc7+kYCIioA9SHI85YQdfGkmMipW1CXDRKywkROBK7rknffckl8FinFM4Xv1WkEDcv4lXM3ZZ37G4HpiMOkAw6BzD7z2lt5UVTmsH8rljlHXHmoXlH/4JUl6GgHnHUWjSlJSvuppuy9aGljuwecY5hfBCv/XkR/i67DK691tgH66Hp+sL7xEXOyO93wRWk9Lwt+7j6ahhnGytai+RmnjxZ8rZO3j/GVk6TdHngpS/NPGAUlTsJEzqfKHeX82KenrtdGzjiXK70CqPLW+T9NlMBcV16e0mmAyklmnK5a5Bb313twbqNhMPpQj9btqQPNVdckT8l/W1vk8sHH4TwsBLiFOCKiBsmFdigCG8IcVfy5LqOuIpEU1q3bXHEmfuVFuJM51MZq8u8wzK/TveqLQbj9xkiWN5HYRHiKuqsaQBMR1xWPeGHMj9Ip0aMj4Pf35QRz9ELlkFgjQhx5zEW3SUSOLrqKQfL8zF8GPHs5QhxkNUnrpK/25UnZD4/0brT0TXifX02tpuwEongi8p5yXSpFs06vSA5fFgetxtj/jmYKl2Ic7vhz/4sc3s3R/gBt7KbI+lxnVMJKs1I9WevCoWieAxH3GmtNhxx7gEpUHoX6myp3Pnz6QGx00Kc6Yi7cAGiPYYQV4YjzvyvF3nr0BEXiTjmxqlZVlbwzknMhXvbOsuNbCIQIOOIqwchzjim3cjDjvSHAxuFuGeewZVMMEeQ/t0ZAVzTQN9r9Il76nBRvc0SCyLExX1lusg2wN9lWRXtkFPSE5Ptmv3oSqbVcMRVU4jrMs5pgQAFdew2JkKbOFsbjjhLddycE5q/r+fC5Z+HCsL4IMZWRIi78Ub4wAfkoXvvtTzvhhvkshAhbkIcD2FP9WMpQaIpU7h5Vr9U7livUrwOySQEjoobbuXK67MLMRZBLDI5X/K+boQpxAW1DRxxkF5hNMoY0FwFxPV44puncKMT8XWx0CID9C+88yvrLzWuN4xzNt3d0NGxbn84kx074Mor5Xv+/VOGEPfCC803HlSkMYU4ChTiNnLEVSSaEjLH41AofYg0zTNrhLgyVpf5N8n8un2lPCGuLHOgcsSVjCnEpR1xiQT86EcA6KY9emwMoCmFuNgFI5pW84jDvsps3gwx/Kz4jR91heMpY3OW+Xq5QpzFEVfJ3637hAhx7st25l2UYweOCXHTEku5gp/ubTYkbpiLBZ1eNGjMP4MrMqc7cyazjrQYzHR9txvey13cyv38AnczMiJztoZKdagySohTKOoRwxE3lqwNR5xvk6y6aV2qvI2/LL7xDWm2du21WXnNTghxHR3QY4wXZr3lR1Oa/3VErw9HXEeHxREHzRdPaUzII7TSfZHzxeP2dosjrlajKc1mxo88khYLX8P3eanfmWbGtglxj2f6w115VfYs4/KfuZhJhvAkowVF7JkkF+T9J/zONisPdLiIYDjVnBLi4vYIcVqr2c+uekLcaHsR/eEgPRHqJsTc2cpHaq7BUh1/6CG5+qY3yfHBjKbk3DlnC+HGh3l8XiJetm+Hd7xDhOuHHsrU89OOuCef3HDxQOycCHERf20IcUND8hVJx1OW2CfumWfgxhUR4lrf8KrsB71eoh45PkTPhUrd1Q0xT80dG/WIg/S4aTg6BqgecSBD4OCDXwdg/hVvYW5Emoiaq8QbBkssJVCQEAcZV9wX/3ML+P0Qj9t+rlfUD+5lKcRrHYUJcZfyHM8/k7+6WPFoSosjzsROIS6wTcYegWRY3NbFMC+LKexyxHUxr4S4IlkjxD36qIxvurvhzW8GQFNCHMvu9vxW6gpi/lTDfmPMXyUhzhZhshqOuFCIFiNGN7jn4g2eXB5ZQpydb9AQ4qYZYGi4jO/kwIBMDnbvhr/7O7kcGnKuaGvMP9tCk3g8Mq1b3Y5yI55/Hr74p+Ncx1G+9YfH+HDHvwDw4eA9nPzKMfZts78208woIU6hqDd0PT0Bfm65NhxxrVuMZtLJmMyC6oWvflUuLW44cEaIg4wr7qxefjSl/FedwWj9OOJi+IlrRiZjswlxxsxqgs1s3eb8ZKMuHHFmM2PTCYNMGD75LWeaGTsixF2Z/dDNt2jpPnHxHxQeT5kKi3iVanHWERcIwLIpxDkUTemNy3Y9HeVFU7raxIHmjldPiBtpKVKICwZJev0AJM5UOZsylcoIQrt2pR1xL32piGHTDKBrmjzPqepaPJ6eID8xI8Lf9u0yX3z5y+UpBw8az928WR5IpaRYtd5mp6XQutza48huF4umSTzlM1wud5QoxD30EOn+cK5bXrXm8ZXWIADxmVBJ2y8E0xHXkSrAEbd9OwC94TFATnP1tBbLCZ74qc6rl0SI6/3lt6HvkpNE24tPVnO37KdEIc4cbn/r2y5SFxuKhYqnbFq8KzIXcHVt0CNu2zZSbQH8xPCOv5B3+FKxaMocjjiAtjaL7maDENe5NUjSLNcVW2xWjriqous5esQ9aPR/3bsX3Th/moVtU4g7e7Z5TMKJkNSMVjzVj6WETGLEBbdRWKuwEJeYl/m6LZ9HNXrEGW0mJhni0j0bHNPLxGlH3DQDDA2VsZ2REXG7Hj4MH/qQXI6NOZeMYAhx2tRkuiRYjGam6/Drvw7Px0c5yh5e9/HdeMPyufpC07hvcKY208woIU6hqDfm59Ni1zNhOZhX2xHXvbkt47Kol1H60hJ897ty/R3vSN8dDqfPwY4JceNRexxxQUK0JAyRpQ6EOICw1qR94gwh7gwj6e+Bk2QJcbXqiMvRzNiFUcV1oJmxXUJc/GhGiFtddNy5Ex7vEiEu/M3ChTh9Sf5GegWEOKedkr6EbNfdUd57SQtxieoJcUNeY/ZaSH84AE0j1mcU3ZyOfNyIsTERW/1+ElsvSic+3nij6CdJPCy3G8UGp/Z1ZkZmd243j5+Rz9CsPd12m1yWEk+ZOi+/31igNhxxIPGUaSGuxGjKZ793mos4SVJzZ5RKC3Hj/SZn50rez42QU7NOW6JwR1xgRnrELS2lTRhNy8Off4advEDc5cP31jfQ+VIR4jbNPVm0oaWmOZVZBBaNputvGwpxu3dLsXNpCaa7VJ+4ZscXk/msu2uDwrPLhbbrCgCu4Km002g1FYumNLe9Soi7+GKLsccGIa6nz8Usxvij2Pm1zT3iOlhkbsa5/qSNxvS0lGtcLkvt2myH8cpXpu/UJidheZnBQYmDSyapjWjzCmAKcVFvbQlx06nqCHFmOkrMa0M6ijFvqagjzhgIPM9Orr7a2Zfq6yNzbLRTiDN+fOcYLE+IA3H9mycETZPbTjGcaTdg1pnMYVohfOUrUhZ9n/sAujtPs3oHajPNjBLiFIp6w8xx6uvj1HkpdFbbEdffb2luWy9C3He/Kz2ctm+XCprBiRNy2de3fv2pFMyB+PGwxRFX4vLxyUnYinGG7euD1vLcJ06TFuJ0Y4VUkzrizjBSkRTRLMGlVh1x+/dLTl4uHGhmbIsQp+tpR9y5oWvWHCM0DZIvFydL4Kc/FkdQIZs1hDja6t8R50vKe/F0lvde3AER4kyHXSUxhbh+rUhHHMCQHN99s1UW4kyLyqWX8uSzHiIROQ5fdhlcdJE8NNdSvjt7XYwJrT4wwPhpmXKYr232GfjRjyzxKWY85UaxrnMiRCU7akeIu/rqVdGUJZzb3f8pq+UXLr5O8pxXkegIAqBfCJW6mxsSDkMry3h0o+BaQI8496mxtOOi2eMpU18TN9zZy26Fjg66XyHK1BX6U42lN1kcccePS/G4q2tjzUHTMvGUjy4pIa7Z8cWlEO8JblyI1wyV90qezLvWoWLRlObgb1U0Zdr5BLYIcb29mfl17GzpQlxZH4XlDbqX5olGy9hWE2GKxVuMFF5SKTh0SO585Suht5ekOeY/dQq3O/NVaZZ4yuSC/P5jvtoS4iZi1RXi4j4bhLgqRFMuPZYR4lYnxthNf78zjrjkpE2OuEpjCnGhEBdvlnlzoY64cBjuuEOuj35iP9rDh3M/0YHaTDOjhDiFot4wJr/6li3pE2u1HXF1KcSZsZRmsxoDc+BstxsOMo64p2aNM3skUrIgNTkJW6iP/nCQmceFdFORU0Kck9RFNOV998G//ZtcN36DSQeHJVYhTi910D4xgXd+lgRuvNfkXvq/821XMEsP/vgSHDtW0Ga1ZfkbaQFnhbhK9A70p2QC4Osqb3GAKcR5ktVzxHUnixfi3FsyDbMd0joLw5IVZ8ZS3nCDrM42XWnTWvnu7HUxPshY9yDJpBSjzLnili1w002iV5mn47QQt4EjzjUvhVY9WFtC3HEukWNYKFT0kvZQCHaefQAA32vXxlIC6F1BALSFUMn7uRELC9Bp9ofTNDlo5MNcXXTmDKOb4+bVpmVhAa45KUJc28+J2qRdKeeJLZzh+MOhau2a/ViEOGssZSFtfkwh7jsnlRDXzMTjEEjJXMDXW0CMmSHE7eIpnnsu91MqFk1pccQFLDVzv98SK2hHNGUnzBrz6/BYlRxxXi+68SaDhCrnrqlz1vSHe/JJ+ZsEAvCSl0iCgjkgatI+cbohxCX8tSHEmT/VU8vVEeJSYaNHnB1CXBWiKcPHRIi70LNz3aGjHVijKc2UDDtYHpOx+4w2WHAYSk3Q3Z123F3RI3OvQoW4P/gDWUS3fTt87GM5nuBSkpETqE9Voag3DEdcbHBresF1tU8UAwN1JsTF4/CNb8j1CvWHA4sj7kxbRpkq0YkwNWVxxNV4LCVYHHEYk+0mi6ZMjFXREVeL0ZShEHzgA3K9rQ199x5+zfV3HGU3yX5nmhlnCXGzJQ7aDTfcs1zGpde05HzKzbe6OMReAGLfLyye0rUsfyOt3YbJ1zo47YhLJKBVl/fi7SrTEdcu++mtsBCXTGbm3h1R43xWxEnWawhxmzhb3Xihp5+Wy127eOghuXrTTXJpCnGnEw474oztLgZE8Nu2LXs+Z8ZTfuUrxh179sjliy+uu8LVu1gBx0ORXHEFxLQWTmJ8uEXGUz78cKY/XOBNN+d8jtYdBMATDpW4lxuzsABdWPrDraesDA1BSwukUlzbK2PTZikg5uI//3WSGxHVu/+X3yp3dnUxG5Ax2vkfPl2tXbOfPEJcIdx8s3y1HllQQlwzs7QE7Ugh3tdTQNXWIsTlO7xWLJrScMRNPDPPn/xJ5u4vflHmegcPYosQp2kQ9sn4Y+V0lYQ4QFN94opmjRBnxlK+/OXpWP6o+d04KfHOzSbEma1WEq21IcQNDEg86DTVEeLSn0eLvY645WXHQlCyMaIpdbP/q4N0d8OcMaePn7NPiIudEUdcpH0At9u2zTqPpmFa+Ha2y+LKQoS4p56CO++U63/910bAlnUB91/+pWSKDzlTm2lmlBCnUNQbxuR3sUcm9r29a9osVRyrIy5abHRGNfjhDyXaqr8fXvayrIecFOLSPeLGycpyLoV6c8S1tUkBdoHmdMTFDSFurm3E9sjTXLS317gj7rd+S5ZfXXwxnDnD+W8e5v9LfYibOEzqxJgjzYxbWyHil0G7NnehtFjYxzP94fLFbuzYAY93Sp+4+W8UKMRF7emrthFOC7TLy9CGbNffU9578XSI0OlLrpSa4FsS589LgpDLBa0RYxlpEY44bZMc24eZdEzfKogcjjhTiDPjIZ9fKu88tCGGEjnrlcmhKQCavPOdcvngg0Zv1p6eTNXqyJG8m/UtiRDn7u+xdXfLoa1NekRmxVMWwRPfOctOXiClueAVr8j5HE9vEABvJFTGnq5POGxxxG10stK09MBmV2AMaKICYg5m//nfARgfvD6r+B7eIgJC8vEnq7JftpNMZv7QJQhxPh+8+c3iIAVkXlNV+7CiGiwuZoS4QqIpzUHXJRznxWdyN1yMzq/QirF4x8mFGoYw9dzhkJmUnGZiAm57p07yTPlCHMBSqxFNOVmkrcWuaEpIv18lxBWOWU9YI8S9KuN4j5nfjSZ1xJnCU7JGhDi3W8ozM9US4iIyX0/ZIcRZHHFARVxx7VMixHVc57wQ5/FArF3mAMkZ+95calLmLYneQdu2WTGM2uJWb2FCnK7Dr/2aLKJ9+9tlXAbAT34il695jdRrDh+WY5QDtZlmRglxCkW9YQhxc+0ivlS7PxxI0X/OLROF5VN1MEL/2tfk8q1vZfVyl0o44qanITlQeiTY4qL8qydHnKZJy5tmdcRpEzKrSm6qzCAmK5qy1hxx3/oW/NM/yZfin/4JuruZOCuui4FBDW+7c82MtV5DiEsmSxKD9QKEOOkTJ0Jc+6OHLDlF+fFUUIhz0hG3vCz9pQD8ZUZTettFiPOzQiJR9q4VTLo/XD9osyX0iBvOCHFVc8SlUmkhaGHkirQmdMMNcmmei8ajxnnIYUfclC4T2tVC3OiomOBSqcxpuZA+ca0rsvrVO1A7jjiQeMpnuFxuFOmIi39f3HDnR67NK4CZ77d1ec4xcXqNI24jjC/TxZ4xoHl7xOk6bDoiUcvR178t+0HjZBEYaxAh7tw5SZYwqpbFCnEg8ZTn6WPeFZQPzxx8K5oGqxBXUI7ZyAjJ9k68JEg883zOY6A2HwJANycdDpFsl2N0+lhpQdelT507bjRTMxdelshKu4w/kueq54hTQlzxZDnidF1WHIH0hzOINnk0pRaR33+qrTaEOBDdvFpCnGYsnLXl8zDmLX2aiFSOC3Gzs7THZFXCpldevMGT7SEVtL9HnGtWHHF6fx26vyzzTxAhbr25woEDsj6gtTXjigMMSzeZ1ZKalo69VNiHEuIUinrDiKacaRHxpRZcwpoGywFzxV6Nj9B1PVPxe8c71jzspBAXDGbmhUsdpUeCmdrdqKt+HHEgNb20ENdMjrh4HP+c/J29o5UT4kznk75YQ444ayTl7bennR82JPgURKCvlWWMSMkSBu7JoyLEPaFdw2WX5X/e6NuvZYEOWqPz0hdiAzwx+RuVG+e4EdYecfqS/QJtJJJxxJXb785rOOJaWWalgumU5iF5aIhM1HIxQpzxJa6qEHfypKiifj8PzcjJbMeOzMKdQEDGDpNUxhE3tiKCn+nEs2LGU957r3FHAX3iAsZk3z9UW0LcVVeV5ohLpWDwWSnS6Xtz94cD8A8GAehIhRwzEGX1iCvEvm2oq1tTEq3VLAXE1Tx7ZJGXr3wfgK0fyRbigq8QIW5z6KmKHsscw4yl3LyZlYQnXXAuRoh74xvB69V4NqXiKZuVxUXowJgLFCKaaRrarisAuGj5yZynLVOISwS6HO1r8/h4ELDEYK5iGBnUxjt7JL63DOJdMv7Qi1TAdOWIqypZPeePH5dVuH5/ZoyDxRHXpNGUbkOII1A7QtzmzdUT4lxGv3C9zT5HXLu+iI+o40Jc4hlxw51hM7uud3Yua2IurnWF7BPifCER4jybaqDAWizG8aR7RU6Oy8v5OwaFQvDf/ptc//3fz6R2ceaMOOA0LdPQV+EISohTKOoNYwI84a4dRxxAvFMmCqliV+xVmqNH5SQTCMCrX531UCyWqS84IcRpWsaJcMFXuiPOLBRvc9WPIw5EiEtHUzaTI25qCk3XieGl6+LK/GCtjjiz+XNN8Ju/Karbzp3wR3+Uvtt0UWze7OzLW/vEFS3ELS3hPiHFwoXt10iOeh5ufo2HH/FyAKLf2zie0pcQ8crXXbkecYmwM444U4hb9wMqAFOIa2GlekKcOXMtphFrLTjizP5wl13G4SPi+r7xxuynXHQRTFH6eaggjA/zhXBuRxxkFlz+x38YH7dp23v44bxLOTsSIsS1ba4tIS7LEVeEEHf8ONwUEyGud9/GQlyQtXFodhEOl+aIG4yMAc1TQFzN8b/5Li1EmWy9iJbd2YpU18vk9pU8WaxRsjax9Id77jkRkoPBdHuSgujshFtvtcRTKiGu6bD2iCvIEQe4rly/T5wnLAfGZIez54bJ5SCQ2xEH0iMWYKmr/NVlyW6ZX7svFCnEXQgByhFXDS5cIH2OvugiMrGUN92U5SyJNnk0pWeluN9/JVgjxFUwG9+9YszXAzbMBbu60qlPvcw6LsRN/0iEuBddO3MuunMCz6DMzXyLJbabWE0ySVtEDnAt2+o3mtIzM5k2YueLp/z935e1AZddBh/9qOUB06zwspeV7eZWrI8S4hSKeiKZTFesx1O144gDSPUYjoHZGh+hf/WrcvnGN65ZpTg+LgWFtrbiCgrFYK44mdLKc8S5SDKUNNQL5YirbYwZ1QSb2bKtMqddqyMuEa6RaMpvfhP++Z8zkZRtmRVzlXLElSXEPfkkmq4zxSDDL1n/ALF9O/y0S+JnQl9/cP3t6npGiAtWrkdcfN4BR9xCHC9GjmRbee/F1VZlIW5QL80RZ0xcBphhZiJ3HxvHsWTFPfSQXDX7w5ls325xxDkcTfnUbO4ecSCxTddeK8Obr38deMlLpHgwNZUz5zCV1AnqUuEKbKmdHnEgQlzaEXfmTMHnuUe/fY7LeZYUGp5b9uZ9ntYdBKQYapgdbKdoR5whxHWFxoDmKSCupvW7Xwdg6sa3yTnOgnbF5aTQGGSaF35S4Z4zTmAR4qyxlKve9oa8/e1KiGtmio6mhHTM6y6e4rnn1j7sXQoBkOoKlr+D69A9KsdGccStLQCbQlxqsPxBrdZvFJsXSnPELfuC5ZrysoS4SvSaqndMN9ymTYamYgpxllhKsDjipqchEskS4lKpyuxrNfFE5fevddSoEBeNVrTPuinEaR02CHEul/RdRvrEOf27nXtEhLi53p1OmpGzMFMxXKnS2k2sYXYWl54ihUbH9iLmfbXCcCblxKw35hLijh2Dz3xGrv/t30rf3jRf+Ypc7tvn2G4qBCXEKRT1hKUvw4llOdjWiiPOZUwUPKEaH6EXEEt50UXFFxQKxXTEnYqV7kSYnIQhpvDoiUxn4TqgaR1xRmXyDCMZ67/DeDwQ89SQI25uDj74Qbl+xx3w8penH0omMyl0sVhBLdVKpiwhroD+cCaaBrGbZMIdOPbD9VfqRaO4jEKOv9tZIc7jgZjLcMQt2C/ExUIWl12ZQpzpqKuWELctOJ/5MhbjiOvtJenyABA9VSVLnFEd1y+/gsOH5a5cQlzaEbe05MziCMMS+PRcfiEOVsVTtrVlMu5yxFOGz0XwIwJn12htOeJGRyEW6OEcxgqpXJXiHIS/IWL9VP9V6cJJTox8MScdcUX3iDP+qK1TEq01N1d7bUmdZjGUYPfUNwDo+5UcUT6BAOc7ZYn43H8+Vcldc4Y8QlyxvPWtGSEu9qQS4pqNxYUUHaYQV2g/t13rO+L8y3Jg1Mq2gK3Pja+X7XtIZlIALGw2hLjgrvKFOM+gFIRblooQ4lIpXGE5jut2iJLG59nFvHLEFYBZT7jYbJWVR4hLdnSgm+fZsTGGh2X+EI9XPBWxKvgMIc7dVTtC3KZNECHAijFXquQfwmu0KXC125SOYiwirIQjLmlEUya273T2hSx0DbUSMfue29EnzpizzNLL4GZP+durNAUIcakU/NqvyeW73y3JBGlmZjLHqhx1UoW9OCLE/cVf/AW/+qu/mr59/Phx3vnOd3L99dfzqU99Ct1SkFrvMYVCsQqjPxybNnFuVk4QteKI8w7Lyd4fruER+vHjEtnl8cCb3rTmYSf7w5mYJ8b/n70zj2+jvNb/d7RY3i2v8RbH2RNCSEICoZSwFW5LgUIDbaEp0J32doG2t3vvbUspdKH9QXvbAu0tZYcWAhTKDgEChUASEkjIQhY7i+14lXft8/vjzEiyI9taZmTJ6Pl8/JEsjUYjaeZ933Oe8zxnz2ByirjpaOdCXV3IeiDdkVXE1aVUvBjIlYW8OpAGWdFIS8prrw09vHatJK//9S/5/29/k//1PsFGI1VEHEDD6hUMk0vhUMf4CfmIrHVeufm++v4cXSlpvDWl1yWfJYgBjZ1zJ1cRN6NAm8sKC+Pr8WKx4CkV4kltMcnycSJo2fG28kV0dclPsWTJyE1mzYJBChmyagkQo1VxHk/Im+kI0yguZsw+NToR9+yz2kvG6RPX1yz79GMltyJ9kjcgBciLF8dvT1n8phBxwyeMbUsJhJKhpfSYak2ZiCJOaW2hNN8DRBUyTmls/eMrlNNNj6WM+k+8P+o2AzOEQAi+PXHP0LSHQURcbS3kLBIiLrAzS8S91+DujlibxqqI0060Oexh3zsjFwbBIOR5XAAo5eYWaViL8glaJPYqHdUnTlHCijhLXfJEXE6txNcF7jgy6f39KFpOzVoWwzg+EbLWlHFBV8TNmYNkwg8ckNzD+943ckNFCVcoNTVht4cded4L6vIcX/oRcXqLhG5L6vvE5Xi176PYICJOKyJMBRGXd1iIuLzjUkfEVVQkEdNHQ7v0h2unKlNq3EciBiLu//5PWsAVFcFvfjPq9f/8p0yky5aNXTmZhWEwnIjbvXs399xzDz/4wQ8A8Hq9fOlLX2LRokU8+OCD7N27l7Vahm2857LIIosoiAh+tbkibRRxjjoJFPKHO1Pqpx0XdDXcmWcSzTA/FUScroh7pyc8WcaL1lZoIHwuZAreq4q44IGwIi6VP1cwVwgXNYW2GlHxr3/B7bcfZUm5dq0k4EcHm4cPy+NmLAeSIeLUOIm4U8928BoiQ3I/PU6fOO338ZBDQYn5FXh+h3z/ARMsS729Qu55LHnJy4onmYirz0ugP5wGf5Uk3yxHJoGICwRCBNDrg5K0PP74UdYjhGOsI5bE56JxoS1SgjY7PZSOqzSfP18cx3w+ePRRRvaJG4XBQ8JA9Sql5knXk8CIPnExNATr74dju4WIK1t9+vgbRyRDzSDigsEEesRVVkJ+PoqqsmKaFAi9FxKIkXDfL7aUu+eei2KPPoZbjpNJo6gpS8RFYsnFkrTL6+/ANHY5i7SEr0eSzkGU2HvK1tTgL3RiI0DgnZEFToODulUk2MqdBh5pFCgKFs0qeN60kX3i6uvhwpXafGqA33p+g8TXef4BYl4M6baU5JJflqwvJVkiLk7oRNzs2cCLmj39ihXRe3/pGfP3YJ+4XI2IsznTj4g7EpwEIs4v8aCtxFgiznRrSlVlWp8QcdNOmSQizogPqCnijjDNtBY1pkIn4jo6aKyXNhGRRFxnJ3zve3L/mmuiTE964iVrS5kSGJrxUVWV//mf/+GKK66gQcs2vvTSSwwMDPD973+fvLw8vvnNb/LTn/6Uiy66aNzn4kHATB+rKQb9u8p+Z5kJpbkZCxCsr6djqwoolJcHTLVyixX506X60KoGCHR3RyW6JhuWtWtRgOBHPoIa5Uvbs8cCKMycGSQQMIdMlAW2lS1tWhPYzk4Cw8NHZ0nHQWurhcWaIi5YXx/1s6QjCgsVWjVFnNrfT9CE407HMc6z5yD5QItSR1VV6q5XVbcGHBycvO+jpwfLF74g191VV6GedBIE5Du46iqLxtmPTKarKiiKylVXwXnnBQ0VfJaWKnRqi/ZgZ2fs104wiLLlLRTgHdtxzJw58e/Y0AD/LFnFGb0v0PXwi1R/5XPRN+zvx4r0bsvPN//8UB2SlAkMDBl+XnhdElR7rPnkJLtvux0rkMcwg4Opu27a2mQeqLRIQKZWVMQ/VtVUww7I7Wkx/DuecIzbuxer243qcPDsvkYATjjh6DlNlulWDvmrmcm7BFtajJ1LDh/GCgwWTgOXQmOjSiAwdtOT1asVtm2z8I9/qKz58fFYAXXjRoI+H5ENJwYOShawz16GM43GeR2LFimhPnHqO+9MeO5sfLKTMxA2o/i8949/vhQVYQXyGcZ1ZJhAIPZ1QyyQ+hhrSBEXLCqK6ZywNDaivPMOS0v28QxzOHDAvDVUukENqsx5R4g45YLzx/z9Sk4+Bu6G6f3b6e8PJO3cO5mwHDiAAgxV1LFvn8QiCxYkNkZ/8KI8Dv+0ljpa6N+8k/zThYRPx7VcFsbC0yXjjMdeSE4cDbGCC4+BN/5Nacs2BgaODXF4vb2iFgawlBWbfu5YSkpQurp46v4uXvIHaGtTqK5WWbUK7KeKLDhQXZ2033p+TSF+rEI+treHmYLx0NWFFXDhxOkcf+6NCdrcI0ScAfub4nj3XVlHzpoVJPjMi5K7OeWUEfOpfn4GGxqwAsG9e1EDAerqLLzxhvKemEdzA7oiLi9txnohYKy0aURc8MiRlOVZHBoRZynON+T7UMrLsSCKuC0mXrd9e9opVfsIotD4gcaU/ZalpWEiLq6Yfgx4m9vIQxRxyyvTI78aF8rKsFitKIEAswtbgAaam8O/+3e/q9DdbeG441S+/OXgyM/X24vl2WdRgMCFFxrSJ+S9uo6L9fMaSsT9/e9/Z+fOnXzsYx9j3bp1nHLKKezcuZMlS5aQp62S5s+fz15NdjLec/Hg7bffNu5DvEeQ/c4yE/WbNzMNaHc4aG0NADa6unayZUsK5QJjwOUuoZ9Cihhgx/r1eKZPn+xDGgFbZydLtGY522bPxrdly1HbbN9+DJAH7GXLFnMUWwMDNmAJO46UEbTZsPj9bF+3Dt+0aTHvY//+hZyrKeLaHQ4OR/ks6YihoZqQIs7T0cF2E487nca4+p17yAf6S6rZtm1Lyt7XrSWvgwN9bJmkc6Txxz+mvLUVd0MD71x8Map2HBs3FnLo0PwxX6eqCocOwW237WHFigHDjqe3tyS0aO/es4fmGL+XnEOHWDzYj4ccvDMbYv4d2xcug9cgb8M6trz5ZlQFT97OnRyDEHGHDu3AZvPE+GkSg1vrXzbQ0WH42HFwt5TwepRc9ia5b2tvL0uRHizvvLWLoiLjrTSjoaVlCWDD3yrKlb6cHPbE+VmqC3MoBko9bbz22lZyc41Ppow1xpW8+CJzgOEZM3j+RS9gp7q6iS1bRqpN/H6wWo+nJSAVlIc3bqR9rnGVrCWvvcYcoN0iFbkFBe1s2TJ2ifeiRbnAIp56SuWVq4Oc4nBg6e1lx6OP4olornnorV2sAPptxZM2ro2HvLzCkCLOvXUr70xwjO/+32bOAJoKFtB16ND4ZfCBAMu1uwfefpctW3yGHLOO9nY7cBxOTRHX7HLRHcN3PKe0lBJgemA78B9s3NjCscdOUn/EFKP7pQOc7d+HGwf+D9SOeU7mlVkpBY5lG488vIuFx6RmPDMaluFhlmmV5/9620MwqFBS4qe1dWtC7raqCgccc6jztPDCn/9NrXMkuZxOa7ksjEXHPjmPhm0FE46TkZg+vZqqN+AY3uGxx3Yxd65cSwcOOEKKuFa3mzaT54cFOTkUAE1bNuM8JT9Uf/r223BsczMOYPfAAENJHkdnVx6dVFDNEXa98grD8+ZN+JrCTZuYjxBxqtrNli1NSR1DUWcn8xAirr09mJZzbzph167jADuBwE68zz5LLrC3vp6+KN9bi8PBdKB361b2bdmCwzEdqGLz5iNs2dKS2gNPMUo0Iq6lrzOmtUaqkJ+/lI4hIeJatm7lSAqOTVUhNyBEXFt/lyHxWZ3fTzWiiDt4cJAtW2LrWxwvWv6xi/OBFst0jhzZSXOKln89PQUEkBjj4Ftv0RnD2DgeCjftYD7Qba1kz54tyR/gJGBxWRk5HR3Q+irQwL59AbZs2cpbbxXw179KkeDXv76LbdtGuiWVPvkks7xehhsbecfjAQPP+ew6LjoMI+IGBwe58cYbmTFjBm1tbTzyyCPcfPPNLFu2jHpdYw0oioLFYqG3t5eBgYExnyuJpS+BhsWLF2PNkB5Jk41AIMDbb7+d/c4yFBbNkqJ82XJ675DL99RTF6SFPeXQEHRSQREDLKyshKVLJ/uQRkC59VYA1BNPZNHZZx/1vKqK0gzg7LNnhRssGwxVhbw8leFhK4GKaixth1hUVhbX9+VyWULWlFXLl1OZZt/1WJg7V+F1xK7M4fWy1ITjTscxzu2SZIOlodGUzzwW8ip2QRPk+Dwpfd8QHn0U67/+haoo2O+6iyUnnRR6aseO2CzlCgvnsnSpcSTG8DDcqRFx5YpCaazfi2YZs41jWXpCUczf5/Yr5uN7zUbZUCslTmd0z3XNmnKIfFasWEjEssgUPFWyDdqgQLEw0+DzoqlAej/6cwqSP+cieudNr6xj6VLzrWs8Hujrk3HjmCo7AEWNCVy3yxbBPx+glhaqq5eELImNwERjnPLkkwDYly5n91qR3XziEzOYEUFm6WhogLb94r9SZ7FQa+D5oGzaBEC3XU7oE0+sZOnSijG3X7IEFixQ2bnTwoHWFSjLlsFrr3HM4CBqxHENKFsA8OZXsCwN574ZM+BnX5QCw9yDB1m6aBHY7WNuf2jX7QC4lp4R03k27Cghz9NLKXaWLk3QD3AM6C3tSm194IeGxYtpiOGYlOOOg1de4dhCsXAKBmtZujQTG2zEj1f/+wkAtpZ/gJUfOGnsDRcuJICVUlzYO4pYunTsQpS0hma3qhYX43ZIL8fFi60sW7Y04V2+Pm8+vP0Svu2u0DWQjmu5LIzFetvLAATyiuOaY5VTT4W1a1nEdtwsCK0Rg0Hwa0RczcKFVJs8P1iqq2HnTmZXVIyYowgGsWhk9bzTToMkC1PLy6GLcqo5wvzy8tjiRc0+1oWTmTNLWbrUmdQx4JOiDycu3G4r8+cvjdlN9L2G/n7o7pYx68PLisk9cABVUZj1qU+NcAvSx7hqLTZy9vaydOlSli5VuP9+8PmmsXRp1WR8hJQgEIBOJP5ZsOJYnEuXTPCK1GH6dAsduyS5Vmu3U5OCtabbDbu072P2cQvIN+A9lWOOAUQR53YbEJeNgZ7/J60bOkvnpjTfUFAA67WYfnp+PvVJvnf7sCiZhkumTU7exABYGhqgo4OTZ0qf9r4+G5s2LeNXv5K8y6c/HeTTnz666NJy/fUAOC65xLDP/l5dx+mfeyIYRsQ988wzDA8Pc/vtt+N0Ornyyis5//zzefDBB1k9ymfU4XDgdruxWq3kjLJj05+Lh4izWq3vqR/XCGS/swzFQbEjHChtBERcUVlpNdS6LVFUVwsRN5MmrD09pMVBReIRzTpo9eqo535LiyTprVaYNcvc73TGDMllDJXUUNJ2CGtHR8zfl9crHs/TNWtKS2Nj+n3XY8DpDPeIU/r7TR2D0maMCwTI7ZaKRsfs6Sk9JkuREBdWz1Dqv4ueHvjP/wRA+eY3sa5aBcj5e//98JOfxLabujqLoad3VVXYxkLp6Yn9e3nrLUD6wx13XOzHdOqHCnmDEziZV/E99wq5Vx7N8Pv63SFrysqSFIzn+dJ7QBkeNvy8CA5KsYgvJz/5fUf00ggO+VJyDuu9T3JyIH9Ys7iqrIx/jNWso2popaPDakrf0THHOC1R3uI8Fr9fYdo0mDnTGrWd2syZ0LpfCBNLe7uxc4nWI+6gV4i+2bMnvm4uvhiuvRbWrrXwqRNPhNdew7JxI1x2WWgbtVvUWt6C0vQY40ehogLUuukMHC6g0D+ItakJFiyIuq2qwqyD0j+y4JzTY/o83jwneZ5e/J19hn9+vZ2oU5Hv2Op0xnZOaAUG9b4mAA4fNnbcTmdUvvJPAPrOuGD83yM/n9bSedT07KDv1R1Yv5lerhEx47BY7ikNDezYIcVrxx6rJHUuVp86H94Gdr1LMGgdwVunzVouC8Ohan1q/bmF8f3GixcDsIjt3PdueKwZHo6wpiwvNz82KpWWDJa+vpHv1d0dIq6sdXVJH0dlJTQjRSy+Nhe5sexP68PtwklZmQHjsdZrSlcculxWCtOnrVdaQavbo7ISSrf9GwBl6VKsY/QbtsyaJds0NWG1WkO9xKf6PDo0BIWIIi6/qiStxvm6OujcJdecpasrJXkWtxsKNCIur7LYmO9Dq9SXHnHJzdPjwfeOONp5Guam9HecNi3CmrLLhS3J91aPSDGZv3RaWp2PcUHrE7f7xXYUReKMK6+UtZqiwKmnRhlXhofhCSkqs1x8seHne3YdFx2WiTeJDW1tbRx33HE4tUoPm83G/Pnz8Xg8dHd3j9h2cHAQu91OSUnJmM9lkUUWUaARcZ35skqrqEgfDqayUog4AG9LmnVy7u2F55+X+xdeGHUT3RW3oWHc4nVDoKsjXLlaJ9jW1phfq+U2Q4q4ZCstU4niYujXesQxOGiI/3Tao70da9BPAAvF81Lb+ddaJGoYm99j6ncdCMALL8C998ptIABcdZWc1/Pnw89+hssFv/qV5Gsvvxz27Yvq0hiCosiprfF3hqG8PHLR3j3B1hHYKtV+W1nCscfG/rLGRthafCoAnWtfirrNcLckowYpSEliQymQMmbFY7w1mjognyVgN6BU2mLBq0ixln8gNfbLurVadTUoXdo8VjG2imtMaIFQDa167+/UYbv0G9vilUrYk04a+1qbORPaiH8eignaB987KPvXck3jQm8R/cQT4F4sahveeGPkRt2SaPUVlxlymGbguCXhPnE6MRoN+zZ2syggJP+My06Nad++QicAwW5XMocYFf0iaA31iCPWokiNiCvvbwJCXM2Ux/DeFub3yfnZ+LXzJ9x+qFFTMG7bZuZhmQtNaUNDgz7UsChJYWbDWWIn1ejbzUvRp8kspiIGZMAJ5BfF9zrthJvNXvZtCyvnBwbCRFFK+pTr42Nv78jHWzQ7waoqQwLK/Hzotsg6ZPBAjPG1yyU3OI35KrSdFNOPFX+oaCmLo7Fnj9zOng2hAe3UceZ3PSnQ2QkDAyFXjPFcqqcCBgfUEBGXW5FerG5dHXSg2U11dKTkPSOJSVtxwQRbxwgtfimni54e81IBOQfeldtjTLKTGgNOJ7gUiQU8rXHE9GPA2qH1Bq+KvV1M2kGLP/95SyvqKEMhVYXPfQ7Wrh31mqeflhOwoQGOPz41x5mFcURcdXU1Hs/IviYtLS1897vfZauWwAI4dOgQXq+XkpISFi9ePOZzWWSRxSh4PKHEVotVyJd0sKTUUVIC3YoWKDSn2Qr98celOnHhQiEGokAn4sxQLoyG7hDWbtWsm+JIgLa2Qi7DVKEtDPXSuQzACCIOJGqe6tAiqVZqqG80tC3rhLBGLuQHB8feMAmsXSsx5BlnwCc/Kbefn/Yo3HknWCy0Xncb3/xhHtOnw3e/K/mJmhq47jq47TYhCEaTBPr/N95ofKGB0wk9GhGnxkHEqQkScQDuEyUAz30jeobR0yOJJLclH1sKThFLgRC0FvfQBFvGD3VIyD2/I9+Q/fmsubK/SSDiQpmmRIi42lpgEoi4QCDkL/j8EUlWrlw59uazZsnYBJBQg6fxoO3vgFcC2ljsOZcskTnY7YbnB06UB998M6QuALC45LoNFpcaerhG4rjjCBNxut9jFBy4ez0WVJpz55PTEFuhRrDYCYDS60ryKI+GJqKgKKgllouLY3uh9uMWdjUBUz+BqGPPjY8CsDlnJXNWTWzFaV0qk0fJwSwRFwnrQiHi5rGbhx8yvp9mFukJRYsB1Pw4k/BVVXiKyrGg4n07XOjQ359iIk5/D430CkEn4rR1QLJQFBjIlXWI51D8RFypEVNlRG6umL4sETcOdCJuzhzgxRfln/GIuJKSkLqSpqYRRNzoRPpUwlDXMBbkAypF6UXE1dZODhGnK+IiHUGSgqbCrKATVT16qDICwSBU9AgRV36ScX2mY4GigLdQYnr/ka6k95fTK9Xu9rrMtYQNTpO1aDVj5xavvnoUKaszc6tXj18lnYWhMIyIO/3009m7dy/33nsvbW1t3HHHHezYsYNTTjmF/v5+Hn74YQBuvfVWTj75ZKxWKyeccMKYz2WRRRajoGc28vNp9cikU5VG84SiwFC+FigcTrMVujbGjKWGg9QScXpC8pA//gRoayvUEz4XjImwUoPiYvDgwItWIapn/aYytOv2EPVEadFkKnKKcwmiLaiGjCdd1q4VK7nIpGsp3VzX9UUA7qn+JtM//j7+3/8TznXRIiHf9u+H738frrgCHngg5OIXQn29PD7K1doQWK0QKNGtKbtji3J7e1E0r5m9BUvi5r6rL3o/ASxU9OwJJ2gi4NWIOK/NGPJqItiKRK1m9ZqgiBvUFHEGE3GBAeOPNRpGEHFajxfGsBMaF1pF4jSO0N6aQuVvU5OwWLm5/HObSNAiWjMehZkzI4g4kxRxbVRTXU1M/WQURcYUgNtfmSMJKrd7hILI1i+KOKUsfee+xYthBwvln3GIuOA6SdK1zD0t9p2H7NBciR7emOjrA4UgBQFNGhdrYaS2qMnpbCWXYY4cERviqQ7Lo2J53rz0gphyF+WnChE3Y3B7SH2YcdCcObzVDezbJw8lS8QxcyZBi5VCBnntoaOruLOYmrAMaURcQZxJeEUhsECupfx920Pny8BA2JoyJbHRRIo4g4g4gOECia/9RyZJEZeTIzEnQnZmibixoecTFtd2hdcuE9l76ImBpqbQaeN2i8vpVIW7U67/IEpsC8QUYrIUcSEizih7lAhFHITDGiPRtF9ldlCIuNrTUkvEAQScWnFtZ5IXi6pSMCBxi6MhcxVxewbDjizRoKqyjFu/XnvA54N/isW6KYmXLMaEYUSc0+nkL3/5C4888ggf/OAHuf322/l//+//MWPGDH72s5/x4x//mJNPPpmnnnqKb33rW4DYV471XBZZZDEKB8JWhO0dEvGnkyIOwFOke9in0Qrd7RZFHKQNEacTMvuG4rcEa20N94ejoSGjKlekuF5hQNFUcRmbiYoDmkfXIepTLl4sKFQYQiNEDFbEBQLiPqknQJazkec4kzu5jBra2Ml8PtdyDYEAnHUWPPkkvP02fPrT4HCE97N6tXAH69bBPffI7f795q4FLRWyaLd4PeKLPhG0/nAHmE794tK4L7n3f7iELSwFYOjJo1Vxvl75bXwpIuJClqVe48lZhmWfqsOYoNpv04i4wdQq4qZNIzlFXFUVQcWClSCDTakJ4oGQLaVv9gKaDlqxWGDFirE3H2FN2dk5QnmWNLQv8wjTdOfCmKATcY89biGwTDv4CHvKnCFJtFor0peIO+64MBGnjmNNWfuuEHHKGafHvG9LqRMA+0BPgkc3Nvr7oYiIeTlWRVx5eShxNMd+AFU1ntdNO/T3M7f5OQBKLrsgppcUnSSM1SK28862oGmHZiq0WOSwtQFVleEx6aLAnJyQvWlBy27efDPJ/WWREbAOSyI+ETWM43jNntKzPcR7DfSrU1IRB+AtlnWI2h4fEddLiXGcpPZ5S+jNEnHjQFfErfS9LHcWLpw4YaMTcfv3k5sb3nwqq8s9XXL9DykFYDEsJW0IJoWIc3mx45d/DFbEOenFhs8UIm7Xi20UMkgAC7Z5MXjQG41SrbjWlSQRNzBATkBizaLZaaR0iBNtyvhEnI7QGv2FF2S+qKqCk0829diyGAlDR72lS5dy3333sXXrVp577jnOOussAM466yyefvpprrnmGp544gnmzg2z5eM9l0UWWUTgYJh80dcE6aSIA/A7tYRlRxqt0J9/Xsok6+rGzUhOhiJuhyt+RVxbW2b2h4NwTq8P/c7UV8R59oUVcan+uQoLpe8YYLgibv36kQHi5dzBmazjXB4ngIVP8zfc5PHnP8Mzz8AHPzg2Z2y1wumnw6WXyq3ZovjcikJ8aB6QsZSbaraUW1gaty0lCF+u94nriNInzt8rv40vx6DAawLYi4Uks/uMV5kpGrGp5hlDKk4WEZe0NaXVynCRTND+A0erIE2DRsS1lUt/uEWLoGic9juzZklvVz9WYdX1JqRGQPsy26iOi4hbvlyKVYaGYE/p0X3i8oaFgLJVpW+PuPnzYa9NrCnVHTujKm8HW3qZN7wFgIbLYlfE2SqcAOQMuZI9zKPQ1xfRHy4nB3JzY3uhooQWNseXNQFTv09c69+eIgcv7zKHEy5fGNuL5szBq+RQyCDNLzWbe4BmQSPidrulsihpNZwGy/wIe8qHjdlnFukNu1tIf6Ukzh5xgPW4MKmt1zp4ugawohHcqSTiUqCICzoloW7pniRFHIQ+rxOXKQn9qQKdiJvbFkN/OB36Iklz33gv9InzdgsRN2xNL1tKGEXEDQxIUbfJ8HRHFMwaRcSVloaC7zK6Tbluj7wsarjuwoaRlbYpgrVKxkZ7X5JEnBb/DJJPxYzUxONmoGBObERcje6mrttSXnih+QmYLEYgZeUH06ZN46yzzqKs7OjAebznssgiCw2RijgtV5Zuiji98ibmQCEVeOghub3ggnErriZDEfdOtwGKuAyCnhDuU987irjhdyWK6s6ti1lcYBQKCjBNEdfaCg00czybWMZmLuXe0HN38Sl82Gmg2bBYwkiUVyh0a33iYiLitmwBEusPp2NohQTijg1HE3GBfmPtHCeCvUTex+43XhGn951T8435LAG7kIbBoRQTcdPUsIdLIkQc4C2TKEdpS6E0SCPitiNJyvFsKUHWEHn5Fo6g2bAYJWMaGgqN70eYxqw4imQj7Sn/1aH1iYsg4gq8cs06qtNXEWe3g23BHPxYsQz0R7Wk3XfHy1gJst86h9oVsSdsc6Y5ASjwuwy3f+zrE7UDELsaTodGxB1b2ARM7QQiQO8dYkv55vQLKCqOUSZts9FeLqRd32vbzTo08xAMhooC3+wylohjXpiIe+QRg/aZRVrD7pFEvLU4gUS8duIdyzZ27ZKHAl1SpOG35qTG6k63pkyBIk7V1iG2vhgz6Ub3iIMRRFxWERcdw8Phua9yh7bePy2GQpsIa0p4bxBxvh65/t3W9AsUa2tFTRpqpZECVZy3R3NHUeyyiDQCVmvIprecLlOIuKGtQsQN1k6OmMY+TeJ5x2CM7SbGgmanf4RpUoyZoVh6jt4jrg2Fo50XFEXq+FetQuyN9Dxp1pYy5UgvHXAWWWQxNjJAEWedJoGCvS9NVugbNsDtt8v9j350zM16e8M513gShomiulqKzQ8FIxRxMS4ehADJTEVciIh7Dynigs0SRXmr6lP+3gUFEYo4g4m4mhpoppFNrGAzy6lArnkVuII72MQKmmkMV1ylEcrLiY+I0xRxW1nC4sWJvee0i04BoLpzO6MzGIEBIa+CBqnIJkKOU7OmVP3GWhECikcUcYpBSbCAXRQ5qSLitDiM6cW94U7WifSIA4I1koSzdaSQiHvnHQBe7pYk5cqV42+uKKP6xMWhzh4X2hfpseTSR3FcijgIE3G3bNYUcdu2hVS9RT5JtubVpi8RB3DM0hz2olX2ROkTN/iE2FLumx5HfzggVyPinLiOyv8mi/7+CEVcrP3hdGg/8ryc/cDUTiDi81G39V8A+M+LzZZSh3uWXJvK9m0TbJmG6OgAjwcsFl47IOPbMccYtG+NiJvPbt56Syyqs5jayPFJIt7mTJyIm0kT+97Sek11uQBw5zpTY9ufQkWcpUria0d/bPF1sMcFmKeIyxJx0aH3zawr7sf21mb5Z6L+cDDCmhLeG0Sc3yXXrceWfoq46mpQFIVOdKen1BFxhhOTWgxTQacpRJx1v0hArfMnh4jLq5N43hr0JZXrCLaJyqGdqowm4qy1Ulhpx08FI39wfVq88UZN/PbaaxKvlZTAGWek9kCzyBJxWWSRMcgARVxOrSxY8obSxLPi17+WRHNOzrgVaboarqpqfBsvo2CxiJgtpELweqEntn4vmayIs9ulSLWf944iztqmRVH1k0zEGWxNuWoVfK3srpDFo57y0G992Ph62V0xxZ+pRlxEnN+PqjVbT0YR976PVLIdyVgOPvXyiOdUjYhTc1NDxDmcESRZLD3y4oDVo51nBcZ8lmCOZo1n8HGOBZ2HqnNoWabCwoStVqz1Qm7l96aIiAsEQoTPP/fGpogDKT4J9YkzShGnEXHtlmpAiZuIO/FEGTJ3D9XhLq2Wz/bmm6CqlKgyVxZOT28iLrJPXDQiruytFwDwvC8+Is5SLp+7lJ5Ylw0xwwhF3IxgEzC1E4ie516myNdDBxUs/mJ8PTXsy2QScR7KQEWcHofU1PDWDqnYN1oRtyRvNwC//a3Ck0+W8sIL4ZqILKYOVBVyfRID2MsSCLwqKhgqlhjKs0XGV6XXBYA3z2nEIU6MFCricmokvi4Yjo0BU7vlmFw4jXPj0D5vlogbG3o+4aNVr6AEg7LAiiX+G2VNqdfZTuV5NETE5aQfEWe3S6/oVPaJC/TqxKTBRJympjVDETc4COU9oohznjA5RFxJdR5utDgtluLaMTC4L6yISzehQ1zIyQn95kuqRsZ09fXwwAMR4jfdlvL88+V1WaQUWSIuiywyBRmgiMubLgN/vrt78iLn5mbYtAk2b4bHH5fHFAXeflsebz66L0cqbSl1NDaCFwfuAo0QiDEBmsk94kByeyFF3FQn4lSV/G6JohyzJ4eIM8ua0mqFM/68hpPYEPX5k9jA6X9ek5Z243ERce++i+J2M0ABfRWzEx5z6+vDfeKO/OPFkU9qv42anxp7ljyng6BOmRpM0Nq9sj9LocFEXAr6M6hqmIibZk2iP5yG3EYh4sq8ranhEffvB7eboCOX7cMzKS6GhTG0rjJFEaftpyUwLfQe8cBigYsuAlB4pyBsT+nuHMCGrC2KZ6Q3Ebd4cQQRpzcx0qD29TPLJdXyVRfHR8RFqhLMIOISVsRpRNw0dxMwtXvEtd0i3onP55/HsUvim+TKTxXmatbwNsMVjaZDI+IC9Q0hxZrRRFytey9W/PzpTxZ+9KNZnHWWlcbGcL4oi6kBrxcKVEk855Qlloj3zpWTz7FHSG1LrwyI3sIUzQ3RFHGBQHgeNZCI0+Nrh38otnWbRkoGCp3GrcOzirgJofeH+4A9jv5wEO5Z0dMDvb3vCUVcsE+uf58j/Yg4kMs3RMSl4IT390ks6LWbp4gz+mNs3w5zESKu6PjJIeIqKiPaTSTBNA7uF5VDX26VYc6gkwbNjujJ21pZtw7uuQfWrZMwMUTCqSo8+KDcz9pSTgqyRFwWWWQKMkARV9Qok72V4NEVgqlCYyOsWAHLl4dVFB6P/L9iRdj+IQKTQcTpa+6+gtgToKoKba1qxiriQIi4kCJuqltTdnVhD3gAKF5gXEAeKwoLzVPEgazbfv1rua8bq+oEz69/nb7ruriIOM2W8m0Ws2hxckumgeWScM95dWSfOGVYfhvFIBXZRCgoVBhGU8UZrYjzyf6sBcZYU6qO1BFxAwPhy6Rc1aLVBG0pARwaEVdLS8jy0lRo/eG6qxYQxMoJJ4zbFjWEEUScwYq4VrUamy0xQbBuT/l4h2ZP+frr9DXJ9eohh6JpqbleEsVxx8FOFgAQ2D5SEXdk7SvYCLCfRo79cJzzuIlEXH9/Eoo4jW0tdU1xa0pVpfB5IeI6T74gbge8wpNEEbeQHbzzdoZJvbQ4pLdYztnKSgPjkLo6/Dl52FQ/jTSNeOrwYRkPsmTc1MHgIBQiiXhHeWKJeMcyIeKmdW1naAis/S4AAkVOIw5xYujFCoODYZvv9nbppWixGFotW1RbFHKgmDDZHAxi6dfGccN8KckScTFAJ+KW9sdJxBUVhdebTU3vCSJO7Zfr35+mRFxdXWoVcUGNiPMZrRA0URH31laVOWgn/dxJIuIq4mw3MQa8ByVucRelmcohEWhEnLW9ldNPh0svhdNPZ2RRxptvijghPx8++MHJOMr3PLJEXBZZZAJ6e0PqIe+06SGOK90UcZW1dlxogclkrdLvugtstujP2Wzy/ChMliIOoNMauyVYVxcU+F0UacHrZNgdJov3lCJOi6COUEX97MTs7ZKBmYo4HWdeUkWgqhpVI+AGZy1GnVbNmZek2eAUgUSIuC0sTdiWUkfFR8Wns6Z9y4gK6hARZ5CKbCIUFkacFwYTtDk+2Z+1yJjPEiLiPOYTcXotRFER5A5q0WoSijilVgKhGloNE5qNC60/3Lv22G0pYZQ1pcGKuCNMo6Fh7Cl5PJx8ssSS6z0aEffGGwwcFObJpZRisaagB1ASqKmBlmJRxAW3jSTiutaKKnZ7xWnk5sa544hkqNH1TkYo4nJ728ljaOomELdto7yviWFyqfv02fG/vrERtzWfXDwcfGGv8cdnJjQirsUmRJxhajggoFrYrUoibx67Rzynt1C++uqsTeVUwcBAmIizliSWeM5bISfgsWzj3XfBPugCQC12GnGIEyNyjNTXdLotZXU1RlpClFdE9KuaKJve34+iXTSWMqdhxxA595jRa2oqYM8eyGWY6a2vywOxEnEwwp5SD+8PHoy5hXzmYUAj4vKyRBxAsF8j4hyZ0yOu+dUWChgioFjjt74wCBUV0IVGYidBxOk94nxl04w4rMlFTQzFlXpl0znnCBmXRcqRJeKyyCIToKvhysvpHJLB0mqF0jRzZqqsJBwoTBYRt2YNbIhul8eGDfL8KOgVbHPmmHhco6Ar4g4HY1fEjegPV1GRkRPne0oRp2UiD1E/KeLFET3iTCLiqK/nwFM7sGiauKLNL6E0N6U1SRwXEbdlC5BcfzgdK1fXsYfZWAky8PS/Q49btL5qNoPIq4lQUIBpirgcv/ZZig0i4vLkOC0pJOKqqwnPX0kQcXogVENrShVxrw1IcnLlytheZooiTvsy26hOODa3WERVu5EV8sCePfh27QOg35Zmi58oUBTIOU4UcfauthEuAflvCBHXu/T0+HesLfycuOjpNjZDl1SPOKcz9JoZNNPSIsKQqYbu20QN95xyFmecl0DCzGKhvUL6hQ68ts3IQzMfWiyyx2s8Ebd+PWz3iT3laCIOJBl98KBsZyYCAXjhBbj3XrL96UzEwAAUoRXjJdqcWzsBF7GdnTvBMSSFGmqqgmObTRZUcDQRZ6AtJUBZWRzxtTbXuHGQXxZvpcc4iCDihodNMdrIeOzZAyvZgDXgEyZn1qzYX6xX6DY1UVcndwcHp26orAwKERfMEnEAqAMSpweMJuJMVMT1bxZbysHKRibLzzFSEad2JU7EWbqEiFMr07eQOGbEQ8Slq33RewBZIi6LLDIBOhEX0R+uoiI226lUIpKI87VOom/F6Mh5gi9qMhVxTe7YFXGZ3h8ORhFxU1wRFzyQRkSciRHzQLuQOQEsklBxpF79Fw8SUcQZQcTV1cEWrU9c6/1he0qbR4Iva3FqesSNUEoarYgLyLlgKzLGmlKXCykpJOKmTcMYIk5LxFXTxpG2FJQ0a0TcC+2S5I+HiNMVccHDxlpTJkPEgdjRdVPOPotMzrkvPwPAYE76E3EAc44v5jBaQlbvEzc4yPQjbwBQfH6c/eEglAx14KW/3Vgivb8/CUWcooQWNrOV/fj9hGzUpxL8DwoR986cC+L+inS458hkYt2RmUTcWy7jibjWVtjN2ERc5HZmYe1aOYX/64yNTPvkmfzXGRuz/elMQqQijsIEE/HaCdjAQfZv7cMx7ALAUupM/gBjhW79qBda6EScngg1COXl4fg62B4bEefCaWzBrvZZSxXZf9aeciS8XnF6O5UIW8p4vIv1xMD+/eTnC/kKU9ee0jIk179akJ5E3IgecSkg4pQhjYjLM0cRZzQRp6rAu0LEMWdybClhJBHnO5I4EedwSdxiq3sPKOJ27JA/ux3OPTd1x5XFCKRZGj+LLLKIioOaCiqN+8OBrNG7tEBhoGkSV+h6F3mrFX7/e+kPV10d1cvT4wkvciejR9zu/gQVcRnYHw6EpwlZU07VMj8NAzvlxGpR6kVlk2JEEi56pZ0ZGGpxATBgKUm/6oAoiCTi1PGIuI4OaG0liMLbLE6aiAMYWCZEnC2iT5zdZ6yKbCJEKuLUIWMT+Y6gfJYcpzGfRckTIs7qNfY4o2GEIk6PVpPoESeMHuTgo2+/yT5OgUCI6NnOImbNit26urAQPKXaPHSkzRgfpAhrymSIuFWrZK2zISj2lGVvPAXAcG5Z0oeYChx3HOxA7Cn138fzwqvYVD8HmM7i8xvj32lhIUFFxlnPEZcxB6ohKUUchKyJjituAqZgAvHwYaoObCSIguPi8xPejeN4mUxKW7cbdWSpgUbEvdZiPBFXUxMbEWcwvxHC2rVC/B86BJdzB2eyjsu4M9ufziRE9ohLmIgrLaW/WAodhja+Q77XBYC13Jn8AcYKnY1PoSLOfSh2Is7IFnH6zsqtsv+MJ+I2boQzz5RbA9DcLCrwMy2ieI/LlhJGWFMCU75PnHU4vYm4VCvidOca1SQiTremNMrq9PBhqB0SIi5/6eQRcQUF0GuVmGC4JXEiLn9AEqy5DVNIEafPR6Px0ENye9ZZ8RfdZWEY0j9jlkUWWURVxKVbfziQHPxArgQKwwcncYX+7LNy++lPw1e/KpaUTU1R7fL275dFSWFhasnN2lrhCQ8HY1fEtbZmFXGZBPceiZ76S+qNbBURMwoLw4q4QJ95RJy7zQXAgN1p2nsYiUgiLtgxzqJdU8PtZTblDYUJ5aVHo+xCCczrW98IqdF0Is4o8moiRPaI87qMU8QFApCnGvtZLDoR58tAa8qcHAbz5fWeJhNlHCATmduNz5bLfmbGrIbTUTBb5iGL14MhjcciFHHxODONhtUqrilvIERcUYcU2XgKMkMRt3hxBBG3Q/rEHfn7CwC8nnsaMxoT6HOnKLhznQB4213JH6QGv1+cahNWxEGoon9hXhMw9RKIvrX/BOA1TuK0jydeNV15ujBYc9zbMqfX0vBwSOL4WqvxRNyqVeCqHJuIUxRZ9q5aZdx76ggE4FdfaWaZuollbOaT3APAJdzHUnUzx6ub+PVXm7M2lQZioDdAAdr6I1FrSmB4ppyEtl3bKfCJNaWtMoXzw1iKOIOJOIcDem0xEnEaKWiWIs6pyP4znoi74w5Ytw7uvNOQ3e3ZA3a8rFRflQfiJeIirCnhPUDEuYWIU4qyRBxEEJP55llTejzw5JPGWC6/9RbMRYg424LJI+IUBbwFmiKuNcEFlc9HkVfyAYWz3wOKuKwtZVogS8RlkUUmIEMUcQDDBTLhe1smaYXu9cIDD8j9T35SbhVlTLu8SFvKeBwkkoXNJkmFeHrzTAVFXHHxe0cRFzx4GABf9eT0S8vPDxMu/n7zrCk97RKUDzucpr2HkcjLgyFHDH7yBtpS6jjh4zM5SD121Uf/M68B4b5qqSLi8vPDijh3j3FKM7cb8pD9OZzGWFNa8jOYiAOGnTK+Bw+NUZVoFDRbyub8hQSxctJJ8b28bnYuPTjlnxjU2eNCVQ1TxIGoUV7nxBGP+Qszg4hbtAh2IX3iPFuEiLOsl2r5IwtOS3jN4StwAhDsdiV7iCHodTFJKeJ0a0qLEKaHDxtwYGmE3jvElvL5wgtYsiTx/eSfKBPKPHbzzhavEYdmPrRscCCvgB5KmTYtOcHwaFit8IVfCxHXwEHyCK9Z9Ovkxhsxpahp/Xp4ra2RTaxgM8spR5J5lXSwmeVsZAWvtjZm+9MZCHdXRHFYooo4wLZUiLjSw9soDroAcExzJnFkcUIn4kxWxAEM58sFN2HrB5MVcSWq7D8jibjmZti0CTZvhvvuk8fuu0/+37RJnk8Qe/bAcjaRpw7L2nHhwvh28B4j4uyezCHi1FQQcW5tTCwwloh7ZnNYEQfw4Q9jiOVyJBHH3Mkj4gD8xRLTBzoTVMRpv28AC2VzMsNxY1xEEnGjJZD6GGixwEc+kvpjyyKELBGXxXsCGR/cZIgiDsBXIonLwJFJWqE//TT09MgkdNrE/Vcmoz+cjhkzIoi4GJKf2R5xmQX7EYmeLNMnh4izWsFrM18R5+t0AeDJc5r2HkZDLZWFtuKamIjbwlLDiLiaWoUtRVIl23Kf2FPmBeS3yS1LDRFnsYDHoinieo0jaIeHIV9LnjpKDVLEFQihZ/ObT8RpIi5DiTh/hYzv1naTFXEaEfemO77+cDpmzoyvKGRcDAyE1J5GEHGnnQYHypZJD0oNwZLMIOIKCqCvTpJx/u07YXiYac2vA5BzdgL94TT4i+Tzq909yR+kBr0uxqkkoYjTfuw6fxMwxRKIfX04Nz8PwOBZFyRXuFVXx4CtBDt+Wl4Y24YxraDFIf2lDYBiqBpOx3lXlOMplLl5DntCj0+bJvV1ZhVvt7bCGu7Chw0A/ae1IAksHzbWcFdK+tOdcYbUEJ5xhjHJ0nSFr0eS8AHFmlRf4eL3yYk4P7AdJy4gxUScPk6arIgDcBdqPeI6JlB9mEzE5fv7UAhmjpo3Eo2NsGKFtKzQEyrt7fL/ihVhMiwB7NmTRH84CPes6O2Fnp4pT8TleGUMsJakJxHndMKAQ645pacHfD5T30/vF64UG/d9rF0Ll31DPkMpPViQBKgRlstvbw0yGy2JNslEnB7TT9j3fSxoAWAHlVTXTgF6RCfi3O5wkYgO3ZZy1ar0TSa/RzAFzrQsshgfUyK42aMFpIODaa+IC5Zpi5auSSLi7hFLGT7+8ZhKZyeTiGtsFOsuQAKn4fHVKVlFXAZBVSnskd8qd3bdpB2G3yFEXHDAPEVcsMsFgC/fadp7GA2lXBbt1uFBaRQZDVu2AMYq4gD6lgoRZ3n5JVBVcjU7x9xyg+1IxoHXJkSZz0AibmgoTMRZCo0h4qwFoohLBRFneI84gFoJhnK6UkPEbfYuIicHli6N7+WzZkXMRckq4rSAdoAC1PzCpNcqdjucfWEB2wln/juDZRlTUJVznCji8lr2or74EvaglxZqmH/unIT3qZY4AVB6XQYcoSBExFmSV8RVDjYBUyyB+OST2II+djGPZZcuSG5fikJnlZzPgxu2GXBwKYBGxB3JMd6WMhKOY0UVd/f/7GT+fElMfvWr5joo1dTAPazhFr4Y9fmVbOAe1qSkP10kpnJ/Om+3JOHdtsKk7EhsS2RxtojtlCKFCfaqSbCmTIEizu/UCoMmiq8jiDhDrSk10tGCSjF9mamIu+susaSJBptNnk8Qe/eOIuLiRUFBODHe1DTliTiHL72JOEWBvLoygnpphsnMs07EWQqNiQUDAbjqKujSWjFYUENjpC6SuvrqxMUJRzYdIg83QastTCJPEpQKidWsvYkRcd5Dklw9wjSJATMd+fnhNfzoCqKsLWXaIEvEZTGlMSWCm2AwnBh75ZW0V8RZKmUytPVOwgp9cBAeEesgLr00ppdMtiKulxK8Vkk2hyQZY+BIS4B6tJM5q4hLb/T14fDLorrkmMkj4oJ5QoioA+Yp4vSg31/kNO89DIajqiQcXPVEUZV4PKhaTyejibhSrU/c9MOvQn9/qOo+vyI1ijgAf44ozfx9xllTDg+p5GvWlOQZY00ZIuICKSTiqoLhgDtJRZy9QZJxhf0mE3HvvAPAdhZx/PHxCwwMVcRpX2Qb1cycaYzlc03NSHvKnRtcGVNQNf3EGnopxqIGGf79XwB4STmNFSck/sUopU4ArAMuA45QoE/HRvSIyx/spICBKZVAHLxH1pb/5ALOPjv5/XnnyaRi35VZRNy+gLlEHPOEiFtk381HPypxxL/+ZdJ7aVi1Cj4wbRtXcitAeG2gYTFvU1JiXn+6q64KJ0aXs5HnOJPlbDQkWZqu8PfIgOPJSbw/HADHiAq8jhaqkblHHx9TgkhFnM8X6qNoBhGnlst6xNYzSdaUDgfkyprMiSszibg1a6RvfDQ895w8nyD2vRvgFF6WfxIh4mCEPeVUJ+Jy/ULE2UvTk4gDqKm30oVWkGeyPaXdJ3G6tdgYIm79ejl3/NhxIeOUbrsMMuccPEhClsseD1j2ii1lYMasscntFMFWJWRjzkBiRFzfHhm3O5UqY8fMyUS0PnFHjsDL2hj10Y+m/piyGIEsEZfFlMXo4CYSGRHc6B6+zzwjZBzAY4/h3LeZ49lEg5q4j7mZsNdIoODon4QV+qOPiixj1iw48cSJt2fyFXGg0G3Xym8mSIAGWo5gx49qtWJaaa7JGKGIGxxM4wswSWiRUzel1M1LndJpNNQ8eW9l0DwiztLnkvcqdpr2HkajrMJCD1qpcDQrix07UPx+enByWJked6uH8XD8pQvooIJc1U3/Yy+GHs8vN4a8igV+u/G9A4d7IsiyfGNIRVuhJH0cAeMIw2gIBsN1EDX5veFxKUlFXN5sGafLfa0TCZ4TRyAAO3cCQsTFa0sJQsTpiji1JUkiTvsi26hm1qzkdgVCtl13HbzBCaHHlrMpYwqqjluisAMZQHKfehiAffWnJXWJWMudAOQMupI7uAjoiriiYBKKuJISdAlGI01Tp0ecz4ftmccB2HvsBYaoTHJXCBFX1rY9+Z2lAhoRt70vNUQc777LqlVyLr72mrk5UGvQxz8KP40dP24cbGQ5V/KnkJLgZ/wIel38+MfRY8pkoCdLdVzOHZzJOi7jTiC5ZGk6I9ArSXifI8kkfHExriIpTMxBs45LZSY1UhGnV/PYbEkX8USDUin7zJkovjZLEQehz5uxRNx4uOGGhF8aCEDhvq2U0EewqBiOOy6xHelE3P79U56IywvIGJBTlr5EXGSfOLOJOIdOxJUYkzOITCnpZKLeJ26s7WLFjh0wKyhEnG3h5NpSAjhqZK7OG+5OaJIe3C9xS1/eNEOKB9MC0Yi4Rx6R7+eEEzK2oH8qIUvEZTFlMTq4GY20D250H/MPfSj8WGcnf3t7OZtYwTlfbpysIxsXjjoJFPKHJ8E8/t575fbSS2Mqww8GYf9+uT9ZijiIrU/cwACUD0kiRK2tm/Tqo0RRVBShiAP5YFMR2uBziPrJdRHVs73D5llT6qqMlFYhJ4nycuhmHE95rT/cVpYwd56iFwEbguoahTe1PnFH/vYEAF7sFJbajXuTCRB0COkXHDCOHfK6Is4xgxRxOhFnD7oNT4BGorsb/H65X6logWphYVK9awDyZsrYXkPrRILnxLFvH7jduJVcmmjkpJPi30VDA7QpcqzDTUlaU2rzmBH94QIB+NVXmlmmbqKfcLLmFF5mqbqZ49VN/PqrzWldz7F4MexErAwtATnJAqtOT2qfuvVarsdl2Gfv6wM7XnJVjVBPRBEHoURiI00cOmQ8cTEpeOklHEMu2qlk+scSuMCioOoMYbLmebeFRDRpDY2Ie6tXFjSaEMl4aEScsns306b5WLpURVXh8cdNej+AX/2K0r2b6LWWMp+drOR1buVLzGIvByyNNHCIm/kSP/+5ylVXhWsjjUBrKzTQzPFsYhmb+SRir38J97EMrfCSZlP7000G1H6DiDhgYMYoVjiVRFykIk63paypkWa8BkMvdM0bnCRFHEwNIq6qaqStkE7+P/pouH9SnDh4EE72iy2lcsopMbXGiAp90RShiHO5pmaonB+UD+UoT18irrY2dURcSCHoNIaIi6zX7kTGjkhFXLTtYsVbb8FchIhTJrk/HEDBdInn7QFPqEd1PPAelEXYcFGa2o0lgmhEXNaWMq2QJeKymLKINWhJ2+DmrruOXsip4cbhLb9O3MfcTBTMkMm+yNcTzmymAj098IQktWO1pTx8WOT1NtvkFIbohW8HvBMr4traoAFJhCgNmVvFUlwMHhz40IjEKWpPOfxumIib1KKjAlnQW4bNU8TpqgxdpZEJiJWI28JSQ20pdbiOOw2A4lefBGCQAgpTGIsGHELQGtk70OMSUs+n2A0rFLAXCRGXixuv15BdRoVeA1FRAfY+Y2wpARStR1wtLUm3XhsTWn+4HepCglgTUsTZ7eArk3nI22ycIi5ZIm79enitrZFNrOAePoXO6ZTSw2aWs5EVvNramL4FVYhAf689LKntpIyZH5qf1D4d05yAfA+j+7Aniv7+CFtKkKqZRKAtbGayn+Hh6M6/mYbAQ/8E4FHO50PnJphgHQVdETebvbyz0bxCGcOgEXEHaKC6GsrKTHqfCEUcwLnnylX/2GMmvd/bb8NPfwrA14K/4wCN3HOPwj33wCPrnNStvw9sNi7hfj7LX/n97+FznzMuvKmqgmZkjNvM8lCitIp2NiOFl800ZqoJxphQ+2TtH8hL0poSUBaHibhBpYAXXrGnrjhDZ7oiiTgTbCkBHLWiaskJuMdNNqtZRdz4qK8PDygVFeIo8K1vyf9f/GJCfXIj+8MppyVoSwkjrCmLisLC9CmjLo9AgZr+RFwqFXG5AYnTcwwi4latklNdUcZWxE2fnpjlciQRRxoQcSW1BXjRilmjxfQTINgmcYuvfJqRhzW5GE3EuVxivwtZIi5NkCXispiyiDVoSdvgZtkyxpJhrGQDeZ9L3MfcTJQ0lob7KyQwGSaMBx8Uf/7Fi2P2zNFtKRsbJ0dgpi+QDgUn7s3T2grTOQiAMqkSq+QgQYVCv6JFF319422esejbIURch6M+pQTLaCha02erx7xEn8PtAsBW4TTtPYxGWVnsijgziDjnRyRQrxoQSe4w+akdgzTFmjpknCLO1yvnmNtiXK87e7EcZy5u3Ca2idPzLtOmQSi7ZIS1VE2EIq7NJGmQ1h9uG4uoqgrnceKFtX5iZXZMMFAR19oKa7grVLih69z1Wx821nBX+hZUIcKI4cYwEddNGSeuTM77xqYVPThxGUZ09fVFEHEFBYkvirQffWFuEzAFEoiqivcB6Q/3YskFLFtm0H6rqnDlVGJBpe2FnQbt1CSo6ggizjRbSoA5cwBQurqwulycd56Mm089hfHFGD4ffPrT4PPRvPQj3KmuYdkyqeW79FI4/XSwnrwSrr0WgFtyvs4iyw7+9jd5Ptnj2boVvvtdGeP8CMEbbYz7etldpvSnm1QMShI+mJ/8Anl/fniR1q2WcsYZpK6HqK6I6+01nYgrri3EQ478Mw4LFux2AeYr4romwfjGMOjrnBkzJBD/+c9hyRL5Xj/3ubil3HveVUNEHKedlvhxRVhTAlPWntI/5A1ZyeZVZok4VYU8VSPiDLLqtFrhppvk/liKuK9+NTHxZroRcRWVyvgx/QSwdGq2BJVTWBH32GNSQbRoUbjgKYtJRZaIy2LKQq8EGQuKkngliOno6IDzzpMeWhCyuFAVubVZU+u8EQ8qa2zh3kupLJeLtKWMEZPZHw4gJ0cWebFYU4p9jSRCMtnXWa/u61O1Ktgpqojz7JWoaah0nEEoBbAWCSli85iniMv3uICwSiMTMK4iTlVhyxbAPCJu6WWLQ82zwVjyKhaoedr7JWDhMRb8fbIvj9VAIi5CEZcKIq66GlOIuDzc9DQZJF0aDU0Rt51FnHRSTK7MUZE3S47V0Z0kq6V9mUYo4mpq4B7WsJINUZ9fyQbuYU36FlQ1N/P8rzdx6EBYnlFNG1et2szzv94kvYATQUQyVBM/JI2+Pighif5wOrRE4jxHEzAFEoj33kvekWbcOMj58FmGOs51VwujNbxxm3E7NQOdneB2E0ThMHXmEnEFBaHgbe5Xv8oKNlJdLUvFl14y+L1++UvYvBlKS/lB6c2AwkUXRdnu29+Gs87C5h3ilemXUGR388ADcMEFiU2hbjf88IfSfWDTJtiTu3iE9W4kTmIDp/95TcJOd3Fj40Y480y5NREWjYhTk6xUW7sWvvl/4ROylB6WszF1PURTqIgrr1BCCfXx4mtVI+IGbU6jXMLDGKWIy1jrYa2wINQ7wOEQJyKHQ3xwb701rt31bdhBBV14bPlw/PGJH1eENSWqOmWJuKH2sNdmfuXk9VGfCKki4txuKEDi9Nxy476P1avhgQfAWyiKOJ2I08eF//u/cKoxHmzbGmAW++SfdCDiKsKqv0SIOIdLFHG22ilMxD34oNxm1XBpgywRl8WURWQlyGjoiaobb0zcxts0eDwySO7fLwvEqipYvhxuvpmhhctppZpAeVXaNhOtrAxX3vjbUkTEtbbCunVy/5JLYn7ZZBNxIMV4bUxsTRmpiJvcpmPJIUTEMbUVcRyUqMlfPclEXLEs6G0+N2Z59RT4XQDk1ThN2b8ZGJeIO3wYurvxY+UdjjGFiKuqsbKl8JTQ/0aSV7FAydeiMLeBirg+zZrSalzmR8mbBCJOL/MuL09+x3l5DOY4ARjeZ5JsSyPi3uGYhGwpdTgXyDyUN9wj65AE4W+RgNYIRVzIWkf7P6CFLfqtQhoXVAE0NnLmd1Zwn2d1yFaziAGeaF/Omd9Zkbh8MSIZapQiboQ1ZaL94SDcI06Viv6MTyD+7ncAHKaOD5xv7Djtmy+Ti2N3mhNxWtK6x1GNF4e5RByEqrULdu7Ecs/dnHuuPPzoowa+x1tvwTXXADD4i9/zj5claRWViLNY4I47oLKSkua32Pbh75CfD08+KW2841nGvviiCG+uu06K07/5ga28mncmpRoJrjuK6OPFr3+d4rzZHXdIPHXnnaa+jXVYS8QXJE7EBQJw1VXwDmHFcSGDXMadIYLo6qtNW/oKUqiIKysjJiKOXhcAwWKn8bmCiLnH40ksiZ8OCO6XIphdww288IJ2jhx7LFx/vWzwzW/C7t0x76/oTakSaJ/1PqmyTRR6fD8wAN3dU5aIG+6UE8eNA0dh6vpjx4vIHnGqicXlg4NhIs5RZiwxuXo1fPbbEs987PRO1q2TGrC6OjnFv/Od+PZ35Ag42g/gwIuak5MWxeEVFeGYXu2Kn4jLHxBFXO6MKWpNOTgoCxYYY5GTxWQgS8RlMaXx4Q9DfpS4ub5eKkTSrihAVcWf/OWXZXH/5JMSAG/YAFdeycu/2UAjTZOe3B8PkYFC//4UEXF//7t8d+97H/Fk/tKBiGtsjE0RF9kjLh0WPYkiL0/I736mtiIup0OiJuuMyb1W7SURA+CwcaSLjmAQioMuAPJrnYbv3yyMS8RptpQ7WQCOXN0py3C4Fof7SNT5m9h0y8aU9TVRCuS8sAwbp4gL9Mu+vHYDk9WaPXMew6YScVpbM+MVccBgsYzvSfdei4ZAQPqbEFbEJYqaY0rDtldJ2FMGD8tr3SXVCbcZ06EXVLVTRSvVbGI5V3Izm5CipHaq0rOgCvlpvlY2vq3m18vuSuya1xr/GG1NaaQirsbTBGRoArG5GTZtIvDGZoJvbAKgkg7+o2KzSJgSVTKOQv5KIeIqjmxPb2XJQSkCa1YlSWwaEad975GNrZT772fNws0czyY2rW025nuKsKTkggt4KO+T+HxwzDGwYMEYr6mpgdtvB6Dhkd+z8X/+SXGx9LH8wAfC9RuBALzwgph0hBL8CE9z5ZVid7l7t+zu2d9s5TdbPoClpwuWLkWtqqKnUkhILw7UadWceUkKKvT1733zZrj/fnnsvvvkfwPP90jYhmXtr5QkPkmsXw+WQ83MZxeHCcuiL+E+lrGZZeomlIPN5vYQ1RVxvb1hH16zFHHlMRBxwSDWARnHlVKn8Qehfd4ya++4h5HOWLsWHvujxNM3PzljpJXpVVeJInRoCC67LOZmkA1NLwLgPjGJ/nAgQXK1Vpy7f/+UJeLcnULED1KYtoXlMJKI87eYp4gbGgoTcXoBrZGwVMm4MdvZxemnS9H8bbfJc3/8IzzxROz7evvtsC2lMnt2WizAI2P64cNxEnGqSolHiLjCWVNUEffkkyK7nDULjjtuco8rixCyRFwWUxr//KdMbvX1Ye7it78VsVnakXAAv/iFVCNarfCPf8DChWKToK1SOjoVvDioSuN5wmqFvhyZ8AebU7RCT8CWEtKDiHuvKeIURXJ8U10RV+SSqClv7uQScTklEeokE0pX+/okGQxQUOc0fP9mIRYibitLWLjQvP6RB2aF+0gUq328/KU7U9bXxFoo54XFaxw5qxNxfruBXki5GW5NCXjK9GCoxZD9jcC+feDxMEQeTcxkxYrEdzVrthLTXDQuVBVrl7CajhnViR9MBFavhpserOeUuiZWsoFbuZKVbGBVfRM3PVifnms5JEn8v93j22r+vntNYkliLRlaSo85PeIMUMQVeHoopjepHnFjkRqmo7ERVqzAeuJyLEFJxBYyQPl/LBc/wUSVjKNQdbowWvP929K6z6GuiNvjNZmI0773kIUSQHs7Z/zXcjaxgpcPNbJjhwHv84tfwJtvSuXgzTfz4FqJsSYsFD/nHFHKAAt/9Rle+fthKirExfG008Tmq7ERzjgDPvlJQgn+735Xwjnd7e6LX4Sd92/lA9dpDN6JJ8K6dSgHDtBxz7MAWPGh7Hl3/B4LRkH/3pcvh3atV05Hh/xv4PkeCbtHEvHW4sQVca2t0Ewjm1hBHeELqJIONiPnTDON5l5b+lgZCMC7Ws+kFCjiAkfGiK8HBlCCQQAsZU7jD0Kbe6Y5XIABRFyKrFB1rF0rlqWVw0IuH0DGtJCV6cMW+Nvf5Hd9/XXpHTcB1KDK0l5RxOV/KEkiDkbYU05VIs7TJdf/kCV9+8OBpOC8xULEBdpMJOJcXuxopG+BCVadusNHxAV79tnw9a/L/c9+NvZrOd36w4GEiv02iemHDsVJxLlc2FXpV+icl8YJ1nihE3F9fWK7CxJQpTPz/R5DlojLYkrjb3+T2yuuCHMXM2akRfHG0XjwQfjBD+T+//6vzJCjoMdHlZUpPK4EMJQvgYL7cAqIuL17RTFoscDHPx73SyGNFHFHjojEKAo6D7mZhnYCZLAiDoSIm9KKuMFBCnwuAEoWTS4Rl19oYRDj+4Hp6D3iJhexscutdhq+f7MQScQFO6MTcVtYaootJcATNzdz990wTG7osUu4j6pDm7nuok08cbPxFeiRsBTKOWH1GHdOBAeF1PPnGK+Iy2QiLlgl47u9w4RsoGZLuYOFHHOsJSkh08yZ4bnIdzBBRVxvL1afjAfFc42zeFm9GnY3O1i3TuGee2DdOoVdTY60JeHgaC5ztK3mWNvFhEhrym5jpFT9/QYp4oqKQkmfRpoSTiCuXRud1EhFocIbV4WVjDosmlmgDxtvXHWXIe/jOF4YrRkcYOfraVyUpBFxB2igttbEHtV33XVU5YueMvIrNtZwF489luR7vPUW/Oxncv/3v2egsDo+x6brrpMeUN3dHHv9Gl5aF6CuTobiz3/+6IT5oUPwq1/JdT53rhDKt/znVoovPDNMwj39tHypDgfTjq9jkHxsBPHsN6F4IxqifO8h6aHNFk7iGYgcr0bElSSeiK+pgTWMf62u4S5ze4jm54e/u6YmuTWJiCstDfdBch/uir6R1jTUjYP8stzo2yQD7eKvtMn7JE3EpcgKFcJWpqoadpjRibgRVqa100UmBDJWvP76uPttf20ftbTgIYeq85PwB9ehE99TmIjz9cj1P2xNbyIOwFotSTely8QecZ3hnnmmEHF6PNM1ctz4xS+kSKStTRTbsSjO05GIA3DnS0zvbR1jbBwD6hHJrfVSTHWjCWPmZKGkJBRD889/ym06B03vQWSJuCymLA4fhqeekvtXXAEnKBt5jjOxvpmaqqu4sHGjWCCArBK/9KWom+l9YtNZEQfgKUphj7j77pPbM8+EabEn/rq7Q/EKs2YZf1ixYsYMsd0KokiUMEZUo+o9xxz5UhaZwSgqmuKKOE0C0E8hdQuTSGgagIICGNKJOBMUcQOHXICWXC5M/4BKh9MJPRoRF+gYWxFnBhEXCMA5X25kAyeRR5hdqqSDTSxnIys458uNpqo/bEWiWrN7jSPiVI3oDRhJxGkdxR14cQ9FL1IwAqb1iAMs9ZIFzHOZR8S9wzFJ2VKCTJ8dFlGx9byT4LFqX6SLEurnGBvQWq1i63bppXKblgVVEdCTv+PZakZuFxe0ZKiVIEPtA+NvGyMMU8RBuE9cgkScrloY/dqQasFEMi4QgNUPjq1kPIkNXLR2jTHjc2kpXbl1ALS/8I4BOwzDUDVhBBFnan+4NWuksC4KWuedxiNckFyfuEhLygsvhEsv5YknxLFp9uwYHZscDok7CgrgxRdZ+NB1vPDCxONRUZE4PZ5WskXile7uMAkXcb05SxX2KpLc7H793QQ/aJxYs4bnr4/+vT9//Qb5XQxGrk+K8Oylia8bV62Cl+rXcNI41+r66WvM7SGqKEcz0yYRcTYbDDgkvva2jhFfa4GtC2ekw6tx0M7VMou8T1d8OW/BJFihgqjUDx0CO15qNAVlMzNCz6uquPCuX48sND7xCRk4P/WpceMn1z9FDfdW7onYiw1whNCJuClsTRki4mzpHzfm1AkRZ+/rGrNYOll4uuX88mIHuwk986Io4kBCLL0OY+1a4cUnQroScd5Cien97fEp4gb2hvtax5FGTH8oSjjACAblHEimkXgWhiNLxGUxZXHXXTLunHKKzBPndNzBmayj/gXzq67iwqFD8JGPSP+mD38YfvObMTfNFEVcwKlV3nSkgIhL0paypiZ6H8FUYcYMCGCjU9F+1DHK4x1HJBHir5me8bLyqa6ICzRLxHSI+kl3ES0ogEG06joTiLjBwy4ABizFokrNEFit4CvSGjtHWlMODoYatJtFxK1fH1sVt5l9TfTegTa/gX0DB4WICzqMt6YE8PZ7jNvvKJipiHM0SlKuaMAEIu4dSd5vZ1HS8ZWihPvZ9e9JUBF3JBzQTmaBSzpg1SpxlWtR6mlkpK1mI020KPVMn05iSeK8PPxW6efnbXcZcryG9YiDkLVWIkRcpGphNEaoFkwqVNCTtWWMzDDrSkaViGStAeipFWbLs2mbMTvEBDVhqoi4CKjaekLV1rvTdz3HK7yfllf2J5b8B7j++rAl5Z/+BIoScsG86KI4ltZz54YVMz/5CX1PvDLh+djfDzvv2yIN5bq7JSE2ioQDOYbD+ZLcHNqyO/bPlgTWroVvf3vkY/r5/u1vG098qyrk+iURn1OeeI84vYeojmiq45T0EI38DR0OzGHABO5CzZpyrELXCCLOFOWqttMSzZI+IUXcJFihQji8rucQFlSGyQ31/zpqO0WRa7yuTixHR18gEVBeFiJuT40BtpQQ1ZqysxNTXSFSDb9Lrn+vPf2JuKKZcs1ZggEM8wIfBZ9L4nPTFIJ6PNPdfRSZePzxcM01cv9rXwsLe6PB75f6v3Qk4oJOLabvio+I631XxqBua1VkyDk1EFnpV1ubUXma9wKyv0YWUxKqKk1IG2jmW6dL1dX7DkjV1fzN5lddxYyBATj/fFn1HXuskErjRAyZoojTK28sPSYTcW+/LSuCnJy45dbpYEsJYcvUFlWbLNuOToD6fFDUK/3hLDMytz+cjhE94qYgEefaJpnHw0r9pFdXFRZGKOJMsKZ0t7kAGLQ7Dd+36dCUpRZXxKJ92zZQVdqYRjvTTCHiWlvhHsbvHXUPa0zta5LjlHMix2/gOTEspF4w13hrSgBfn4GkYQR8vnAyyQwirmCOjO0V/lb9KzIMqqaI286ipBVxAH7NRtPblJwiro3qUC7pvYrIJLFPcRA22VO0/5NIEisK3jwnAP4OYxJD/f3mKOJ6e2WpGyt0ImwsjFAtmAB93F3OJgAGyI+qZDRqfA4slEnGsWe7IfszRU2oEXEHmW4+EVdVJQPx8cfT/P3vS3K+rAwqKljCW2xQT2Dzb9bFv9+tW8OWlP/7v1BdjdsN//qXPBSTLWUkLr9clDLBIPOv+SROxr8Ol/Imi78RQcI99dSY11ln2TwA1F3mK+J04rudCvT0bDPTR5zvRhPfbjcUIIOCozy5xPPq1XDtrVW0W0aqjtst1Vx7a1VqnLgiGa/aWlOLJX0lsi5Rx2LAzFbEaZ+1KCDvkxARNwlWqBDOSY+0pTz6twrlrsvKwj1O/vQnePzxqPst3y5EXNcig4i4CGtKpzNcLJxMv9V0Q6BXI+Jy0p+Iq55upwen/NNhjj2lTsS5rSbYUkJYEadL5UfhO9+Bk0+WdeDll4893u/eDQGvn5nslwfSiIjTP6Piio+IG9ovBYT9eemeXI0Duuo4klk8eDB98t9ZAFkiLospig0bYNcuaeJ84bVSdVU4LBUPBUPmV13FhGBQ7Ci3bJHA89FHJ6xCzhRFnHWaBAo5vSYTcffcI7cf/nDcTSvShYjLyxNLsDbEEixadufIkXDgYJ+V2f3hYJQibgpaU/bvkAyYq6B+0ouPzFbEeY64ABjOcRq+b7NhqRAizjbQK2V+MMKWsrAQUxSNo63oxuodZWZfk5wSUa3lBIxjhpRhIfXUPAOJOJuNgCJMha/fnHJgfV612aDMGTTcmjJ/tvyQNbTqgjFjEAig7tgJQFP+IhYuTH6X1lqZh9QoBSGxQG2TD5gl4gSrV8MDD0hRfSTq6+XxZJLEvkInAMFuV+I7iYChijhtbT3XJsmaeBKIsRJcZhUq6OPuWTwHwDX8zwgl42HqR2yXLApWChFX1bEtpv4s48EUNaHHE/qyU6KIq6+HpiaCr75K50UXEXz1VWhpgTff5FDNCiro4sxfnA2//31sDW0gbEnp98NHPwqXXAKIIG1gQNoun3BCAsf6xz/C7NkUdB7gz3wBiH48S3mT5/gAjoFuOOmkcUk4gMFaSW7am8wn4nTiWyGcFApgC53vh6g3nPgeHIRCjYjLKUs+EX/OF+op729i6PkNnH7PlQw9v4Hy/ibO+UKKejRH/pYm2VLqCJRKfG0dq9A1RYo4vQ92QkTcOBa0bDDHChXCKvVGJAmt94eLRE3NKJX6WWfJoArw2c8e/YEPHaLctU/W7yefbMyBRhBxCuqUtKdU++X69znSn4irrSWsnDSZiPPaTCLiHI6w5eXttx/1tNUqbRoLC2WsH8uc6623pMDKjl9IntGL20mEtVJient/fESc55AEgUPFU8iXUlcdP/98+LHe3vTIf2cRQpaIy2JK4rbb5PZP7w9XXYVrkc2vuooJP/gBPPywTI4PPxzToJgpiricWgkU8gZNJOJUNdwfLk5bSkgfIg7kp29lbEVcaytMRxRxyhRRxE1la0rvfomWhspTlAQYByOIOBMUcf5OFwBuTZ2RSbBXRZQL6w0jR/WHM6OwWU8GdIzRO6qDqsQt62KEo1TIstzgUOzJzAmguDVSL89Aa0rAa5GKPv+AOUScPuRWVYGlvzds22IQEafUytheS0u04T1x7N2LxethiDymrWw0xH4rb5Ycq6MrMZZjcK98wHamTbotb7pg9Wqx+lm3TmqH1q2D/fuT75keLHbKHX3sShKG9ojTWNg51iYgvgRirASXWYUKq1bB4ppOzkBUVw9ysfaMghcHioKh4/O0M4XZWhjYxsGDye3LFDWhxqIOk0snFRxzTHLHGBMcjvDkqyjyf309h+95iTv5FFY1AF//Onz+80IUToTrrpOix/LykCUlCBkOci0mNNcXFcF996HabFzMg1zJrUdtopNwZfSgrjwJnnxywuvLP1OIuKI2860pdUJ7PrtCj5XSg36+j97OCAwMQBGy9rc6E7emjIQ138HpZyjSQ/QMBWu+Y+IXGYXRijgToVTKumTMQldtPuilxFRFXK6nF4VgYkRcNKSg5YKuUh+piBsJmy1KqHT99bBwoVTFfvGLI9fML4kabjPHM+NYY85lGhrk+xgago6OKU3E+R0mEU8Goq7OfCIu0KcRcXaDv4/Ifox6Bc6jj0ZVRs2aFXZx+NGPQuHwCIzoDzdnTlpZHeZUCxHnGIyPiAu2CRHnL03z5Go8mCTVcRbxIX2uniyyMAjDw2F+Zv41a6JKsAFTq64mxG23wS9/Gb7/vvfF9LJMUcTlNwgRV+BJtJFDDHjtNcluFRbCeefF/fJ0IuJmzBhfEdfWFg4cmD41FHEha8opqIhTDku0FKxJDyIuZE1pgiIu0OUCwJfvNHzfZqO00kavfh7qfeK0yGMLS1m82Jz31ZMBh5V6Zo7qHTWTJg4r9ab3NcktFbLMSlDUAgbA6tGyFwY33fRZU0PEjbClLCqS5K8R0BiDIgbobIrDo28i7NghNyxk5fuMWc47F8g8VJhgPzvd4mWopJqcHEMOaUrAaoXTT5eaodNPN+jaLnECYOlzJb0rj0eGAaMVcfWBJiC+BOIpp8jlNxaMJsJGw2qF2y58BBsBNrOMfYQXiXqu2Mjx2b5EmK0a2tj9anJrZlPUhBH94errlaQ52mRwwql5fKviDr7Jb6SH3F//KhfUeB9o61a49lq5/7//i+4X7vXCP/8pD8dtSxmJFStQrr8egP/H1SxiO8vZyHOcySe5K0TCdc07CeXp8ZVwOmwLhYhz9h80vTGUTmgvYGfosRKEZIm2nREYGAgr4ihMf0XMhEihIs5aJfG1Y7ArehFVihRxiqpSRH/iRFxVVVihA5LYqK42vdJ49Wr4zFkypjUzI/R4ba18tIMH4YorRrXRyssLJ7YfemiEokh9UYi4FznNuHyCwxE+jyL6xE0lIk73qw7kpf/1X1cHnWhW9SYRccE+3arTYCIush+jflL39IypjPrMZ+DCC2U9uGbN0dPPCCIunWwpgbw6IeIK3PGto6wdEreoVVNIETdJquMs4kOWiMtiyuHhhyW3P2OGxGchVk5DcLJP+xdfhCuvlPs//nHMaq7h4XCfjXRXxOmNbQsDfRLtmoF775XbCy5IKPGbTkRcPIq4qSAzmOqKOEeHREu2xvQg4sy0ptSDfr9mk5ZJKC+HbmThHmpg/dZbQFgRZxZ0y7rK+pG9o6qmO5K2rIsF+RURY6ZBSkmdiFMKDCbibEIaBgbNSUjqdpFm9IcDoKiIIa0B+8C7xskKlIj+cCtXGrPPqiUyD5X5jhzV0D0W+A7K/KVMdnPM9wAs5SJ3sA24kt6XXg9jmCJuhiQ4C/29OOmJ2ZpSVeF735t4WWB2ocLi3Q8C8CAjGRojLEWPQmEhRwpEQdj5YnJ94kaTJTohtJyN4243LiKIONNtKSeAxQLnnqfw//gmt1z4JJSWSlHeihXRk06RlpSrV8MnPhF66vnnxalp2jQDHOW++U344AfJw82Dtk/wWf7Kmazj//h8iIQrf+OpmAnusvmVuCjBghoOVkyCrtBfEKGIs6CGSHkziO8pR8SlUBHnqJO1iT3gib6mN7tHXG5uqEjJiSvk5B03CgvDlvAgxEBTEyHWyUTMVMLWlIsWiUr9wAF44glpOf/QQ+F2kiEcfzxcc43c//rXRdYOBF4QIm49pzJrloEHGWFPORWJOGVQrv9gfvpf/5GKOH+bSURcv1zLhisEoymjdERRRikK3Hqr5Bm3b4cf/nDkS9KZiCts0BRxQTfxNOTOcYnKwVab5snVRKGrFtNIvZiFIPuLZDHloNtSXnEFWFzdR3kh78xZnJKqqxHYuBHOPFNWd6tXS3B4ySVCxMUIvQjHbk++WNlslM50hvsdJbxKHwd+P/z973L/k5+M++XDw+GeJelAxE2kiGttUbOKuAxCcZ9ES/nz0oOICyniTLCm1NUYqqbOyCQcRcTt3w/9/XgUB7uYbyoRB+ZZ1sWC/BJ7eIyOI2AZD1af7MdSYKw1pV9TxAWHUqCIM7g/nI6+Asl8e5qMI+J8W98BjCXi6o+XdZEdP/1N8c/dlg75Mu3Tq405oCzGhK3CCUDucE/S7rL6NOxUDFLEFRSE1tiNNMWUQAwG4atfDfcm+dznoudkb7nF5DGypwfrC88CsOOYi1MyPrvqhOHyvrktqf3opIqOy7mDM1nHZdwJJEiqpBERB3D++XL7m7fORt3wOhxzjPSQO/VU+Nvf5Ek95vrKV8KWlH/84wj7uweFa+WjHzWA1LVYRHVXVsZ8/3a+ZP8/AHLxoC5eTPmtvxAVQoyorVN4Fy3Judtce0pdoT8/QhEHYk9phgIUYKjPTx7afD4ViLgUKuKKq/MZRtZEUeVoZiviIEQ8OnElrohbt04qL/Tk8P79xrkQTIQDYUXcSSeFVeonnQQ33yyb/OQnkrIZge98B97/fqkUufxyePJJbLvFmWBf7Snk5hp4jDoRt3//lCTirMNCxKkF6X/9l5dDt0WIuOFmc4g4dUAj4nIN/j7GU0a9/HJUZVRlpYjNAX7723CbsZ4eUYymKxHnnF6ED4107I7dnrJgQKoxc2dMsQLCqioJbJcvl4Ft+fLU57+zGBdZIi6LKYWDB+FZiZ+54grE/rG/HxYtwl/kBOALeXenrOoqhDvukEXnZz8rk8PKlTLLxeGJHtkfLgVW6kmhcpqFLiSRGThiQp+4detExlBeDmefHffL9+2T2+Jiw/OtCWGEIi4KEedq7qVIrx6dAkRcUdEUVsS53Ti9crGWLp58Iq6wMKyI0xf6RsLa75I7pkX85uEoIk6zpdymLiKAzXQiDkyyrIsBBYVKiKAN9BtD0Nq9sh9LobGKOL9dshuBAWMIw9GIak1ppCIOGHbK+O4/aBwR590sRFxX1TEYJUArrsihU5HP3rI5/oZ2DpcEtIWzp1hAm4bIqXICUKy6kp5G9deXGKWIg1AiMRYiLhCQdl86V/LnP8Nf/jKyUOG442Rbk5yhwnj0UawBH29zLKdfOT8l47N6jEw2eXuTU8RZrfD7/2rmeDaxjM18gvsBuIT7WMZmlqmbuOUHzfF9jggiLiX94SbA2WeLamXPHtgdnCOKuAsvFPeNz3wGrr5aCLl16+QkghGWlCC1fA8/LPeTsqWMxAknhJJ/Fl/YCUR5+205eWLoA66jro4QEafuftegAxwbq1fD+8p2jXisjG5zFKDAcEeERfN4PrSZgsj1r8kxTVm5ErbJm2QiroReOjsTbDOsJ2vOOUdu9+9PSIUfN1R1xJimtTMN4TOfgauukvuXXQZvvx3xpNUq+ZzCQiExPvc5ADopp3J+mbHHqR9YhCIu2R6i6QSdiMsEIt5iAU+JEHGeQ+YsQJQhic+DuSb2zButiLrmmjEv3nPPDZt3XXGF1CjecYf8v8Aa0SMujVBRqYyM6WNEsUcUcYWzphhBVV8vi+gNG+TH3LAh9fnvLMZFlojLYkrhjjtkTjntNJiVcwh+9zt54pe/hDJhXKz9LtScFFRdRTZI1e0xXS7J9v30p+GGbzEiU/rDgSS49UChb58JRJxuS3nxxSM95mNEpC1lOpCaM2aMb00ZbJKgYbig3PD+S5OBKa2Ia2kBYJhcao81ODBLAJHWlP4+4xVx9iEXANZyp+H7NhtjEXFbWUJl5dQuGisogGFEuebuMYbgyvHL+WUrNnaMCmhEXHA4hT3iDCbifBUyvluOGETE+f3kHZTEacGJxspUenLlWDu3xXmswSDFw0LElR2TVcSZDV0R58Sl514ThkzDKkWqQYo4CBEPM9k/rjWlzwef+pS4WVitcOedQsrByEKFq6+Wx267LcHEb4zov+0BAB5SLorVOT5pFL9PruHqrm1J56IvvLqRTaxgM8upQgKHSjrYzHI2sYJzvtwY3w7TTBFXVKS1HQAefVR74MEHw9nzm24Sby2QE+WMMyRh2Nwc2sf69TLUl5VJvGgI4rQAGw+1tbCbeQB4tptPxDEwQEG3sOUHkSTdn3/ZY5oC1NMlSXifYmdKNBONLFx49VVT3yoyvo5GxAV7XICJ1pQwQhHn8yXIPT7zjNx+5jNyfXg8cTavTBCdnSEXiEPUH0XEAdxwgwhqBwel+8UIYx+rFb7xDbmvxXv5DHGmc7PkfCLGmaQwxa0pbW4ZA5Si9CfiANRySb4FTLKm1Ik4Nd8EIm60MkpXsj3++NHekxG44QaZOg8dkq4oV18NdrxM13r/Pv5ueiniKirCMb2/I0Yizu2mKCh5qNL5UzDodzjCiU5FSZ3qOIuYkCXispgyUNWwK8mnP42QXW63dH7/8IdRtH4axcGeUK81UxHZIDWyhLetDT70obiqI2GkIi7dYbOByyaBQv9+g4k4jwfWrpX7CWZJdCIuXYp5RlhTDgww+gS1tkgZnGda5veHg1E94gYHpRx+imBgp0RKh6hnesPks7z5+WFrSl+v8Yq43GEXEE4KZxLGI+JSoYabTOTlhc8Ld7dBiji/JDdsRcZaUwY1Ik5NhTWlSUQc1UJuObpaDNmd4/BhbH4Pg+Qz68xGQ/apY6hY5qL+3XEq4np6sKnS86X6uAxYqGQ4lDJZ0zpxxeN6FxV9fZDHMDa0uThFijiPR9p23XefrBvvv3/sHvIf+5gUEOzZA//+d/KHFxV9feSufxqAjtMuTlnhW9WZMuEcE9xGc1PiLKPfD1dX3BWyZ9JXIBZknz5s/GTOXfh8se8zsD+9FHEA550nt489pj1gsQgBpyPyA65bJ2q1iJhLt6W84IKEavmiYzwLsA0bxj6xo8DhgLZCSXL63zHXmhII2V+2U8k+pNHV3Ioe0xSgPpfEOG5bZiThx4RecBvJ1Dz5pBTgGknKRKCsjJDjTLTWD4EuFyBEnBHDeFRoRFyVXd4rbnvK5mZ49125bs86K9z7XLerMRNaYcERaw1eHFGJOJtNul/MnClCvU98IqKdXWPjUQ3k8hjmRw8tl5xPnLmdMRHFmvLIERH+TgXYvTIGWIozYwyw1shiwNJtEhE3bCIRN1oZtWuXeHwDXH89/OEPUV9WWBgSfYY6WzTShJUgg+Rz3hdrQ+m4dEBZWTimHzwQGxHnOyzFSl7sVM51mnVoWWQRFVkiLospg1dekQC9oAA+tnhn2OD4l78ERQk1ti+lJ+mkRUwwsDoSwoq4TCDiAAZyJZE5fNBgIu6JJ6TDel1dwt3DIxVx6YDCQsgtL6QfbUE6ShWX2yGBg1qX+baUMEoRB0cRj5mM7rck49huq0sL8aLFAl6bLOwDfcYTcXleFwCOaU7D9202xiLitrB0yhNxigIexVhFnCMgkZq9xGBFnEMj9tyZ2yPONl2IuII+Yyq+c/dKwmoHC1n5PmOX8v5KOVZvc3zH6jsoX2QXZcycPwVUDukOLRlqxJq2v19sxgCZNAoMSAZpGc5GmmhvF9ItEsPD0p/roYdEFPPQQ2PYBGr9vgp3buRjH5OH9F7QRiP46L+wBzzsZD6nfyV18i/bsQsIYKGcbva8ciTh/Tz4INzUuYb/LLwz6vNnFW7gp3vWxN6eWlXhoKw/fdUNadOfWifiXn45ovVajDFXMBiu5TPMlnI0dAuw0VZgcaC/Wog42/4UKOJ2Sn+4XcynB4mVh1vMC5T93SKh8tgz3JZSL7j9r/8KP9bZKQW4RpIyEZhIEYemiPPlO8e8HJKGxvDVFbjGPIxx8dxzAKgnnMgLb5bQli/kb3BPCog4jRzdHxDyLxoRB/I9P/KITIXPPQff/rb2RJRxJlRymUBuZ0zoB9bcTEW5GhKOthhTyzXpyNGIOGtJZhBxjjoh4nJ6zSHirG4tPjdi7RUNo5VRX/ximFD+2teiNESUGunRHJ3eH24Pc0BRuPrq9Kmlttmg3y4x/dDB2Hpcu3ZLcrWdKsorJr94Oov3FrJEXBZTBroa7mMfg4LrfyTR1kc+AiefDIBSmmIizsDqSAgr4jLBmhLAXSiBgq/VYCJOt6W85JKEg9x0I+JA4rWQKi7CnkNVoaRXFHHWWVNHEefBEW6qO4X6xA3sFg+u3qL08eAOOIQYCRrUCywSBT4XALnVTsP3bTYiiTh13z6pGATe4jgWL57EA0sR3FY5Lzw9xpwXjqA5RJyaI4q4lBBxJini8mbXAlA8ZAwR59siyaSdlmNYtsyQXYZgrZV5SG2J71g73pYv8ohSLd9lFuYiwh7MCEVcsd4frrjYGM9uLQk9S9kPjEwgDg4KmfLEE6LOfeyxMLlyFPQey3feyWc+Iw/df7/sw2h03iy2lI85Lua881OYlMnN5UiRWDR0vrgtoV2oKvz613L/h2V/jLrNbz65CYBf/CLsDDcuenqwapX66dDzVsfMmbBokSQAn3xSezDGmOu112SJXVwsYhxDMdoCbPly+T+BCkpfoxBxud2t5her7RKb450sCBFxniPmBcqBXvk8XkdmJOHHRDTyV/fNNZKUiUAkEedvOzq+VvpcAASLnYa/dwja3FOdK+8VRZg3PrTB56Z3zuaMM+CRbULE3XTVPvMVNpoirpkZ5OUxbn/dxYvh9tvl/o03ankmg3M7Y6K+XnIcbjdK+5EpZ0+Z65MxwObMjDGgcKYk3/KHEm2KOD7sulVnoYk94kbjhz8UhZyqisPUyy+PeHr9+qPPN52Ie5e5UqdzULZLFwznSkzvbolNEde7Wwqfum3TUtajPYssdGSJuCymBAYHxUYA4OsnvS5loRYLXHddeKNUE3HRkER1ZKYp4nzFEigE2g0k4vr74Z//lPtJNO9IRyJurD5x3d1QF5TAIX/e1FHEgRJWxU0hIs6/X1at7or0SVoFtObP6oCxmUtVheKgC4D8Wqeh+04FRijitEjikLUBF6VTXhEH4LUJYeZ1JU/EqSrkqqKsyykx1ppSdZhHxA0OhocfM4m4onkytlcFWvX2JEkhsE2IOFftIsMt/3NnyrHau+OzpuzeIQFtX960ZJY6WcSKCCLOiB5xIUWcUbKnCGtKULn9dnjhBVEwffCD8Pzz4gbw5JNw9tmjXhvZY/n+++Wx++5jVcFmPlK3ibKB5pC9oGEYHKTk1ScA8Jx/UcpbafRNl0knsCUxIu7FF+UrW5WzgcYDWmbs2GOlpF1TsKy462quX/0Gqip9+aK0JB4J3caNKuYeZ+y4nizOP19uH300ypPjKNL08+a880xolzLaAmzDBvm/Pv71YPGMUjp05dOePYYe5lHQiLhdzA/32GmPscdOAtCJOH+mE3GpImUiUFwMXdp54WkZFV8Hg1gHZBxXSp2Gv3cIujVljguIUxEXDOJ+XBRxa/uFCdftUCv693HxxZhLxkX0vGxsnLjm5KKL4H/+R+7rl7QOVZHxJWBGOjUnR5x/YIQ9ZToQcYGAzOX33iu3iSiicgMyBthLM2MMKJ0nRJw96DUlZ2HzSnxuLU4hEaco8L//K6IFj0dud+wIPR2tZWMkETfedpMFT6HMX74jsc1fg/sludqfnyHJ1SymFLKhchZTAmvXyrw4a6bK0vu/Jw9efjkjOotPBhFXVRWWsFkscPzxCVdHZpoiLlgugYLSZSAR98gjkoydO1e+ywQQCISEL2lFxI2liGtthemIIs42hRRxENEnrq9v8g7GYFhaJEoK1qUPERfM04i4IWMVcQMDkgQGKJruNHTfqUBeHgzmyKJd0c7BzYElwMipY6rCb5PEqq8veWbI7ZaG9QCOUoMVcblCxCkeYyw0I3FEc4HLyxNSIJRRMtiasmCOkFs1tIbeMxHoCRCHZuFkW2L8iepcIPNQ0UBrXIW/A3skqz9ckpXDpQQGKuL6+yMUcUY1FpoxA4BCdYAyuvnpT+GMM0SB8MorcvjPPgunnhrltZE9lvUqtPZ2lBXLeeTwCpppNNyecvihJ3AEhtnLLD7wzaXG7jwWaNUf+U3bE3q5roa7pepHcufyy+Gtt+A//1MWkqedBkNDfPeFD/HRudtob5dNgsFxdhqRtE63OVFXUD7xRERLuAkUaaoaJuJMs6UcbQGWINtXVxeR7Nxtcp84zZoyUhEX7DQxUNYS2f7czEjCxwQD7EhjfZvhAk0RN9pxZmAARbugLWVO8w5Cm3vKrS4gPiIusOVtcvs6GKCA1zgJCBNxs5B1jal2d5o1pU7ExYIf/1j6SXq9YqfcFpRxZmjhcq7kZt6yJa58HRe6PWVTU9oQcWvXyvR8xhnwyU/KbWNj/ORpnkbE5ZRlxhhQPTOPATSSTE/IGYgcjYhLec88m00Y1ZNOkiqpD30oZF9QU3P05tGIuGjbTRYCxRLTBzpjI+K8ByUgGy4aRxqbRRYmIUvEZTEloNtSXnPK0yjr1kkl0U9+MnKjySDi6uvh8cflfkUFvP56wtWRmaaIs1RIItPmMpCI020pL700YeukgwclaI8sNksHjFDEjSLiGpBkCNOnhiKuSOPfQkTcFFLE5XZJlGRvTB8iTs3TiBGDvbxcbW5ykcY/mdgjDiBQUjbi/60soaHBOFFIOsNnl/PCb4Bl6dCQeUQcmiLO4jFeERdpS6kohD2WDFbEKbUytpfRw5GmxAhFPQHyg7PeYPbQOwDc8vIiw6vHy4/V1HvBtrhIQz2gDVZmibiUQFvTFtOHq3s8NmVimKGIW/tEHq1acdFM9oce10mTH/4QVq4c48Xj9PtSbTY+xV288ALs3x91k4TQ9nuxpXyu9GJWnpT6XiElJwvTVde9Le4k9PbtEmqczgssPPQs2O3w05+G18l5eSIdW7kSpbubv/eczaLcvTzzjLTRHhNpTMSddJLUS7hc8O9/aw9OoEjbvFny8Pn5km9MZ4wg4t41sU9cMBgi+nYxn+FcGVdwmRgoa1abgYIM7xEHhtqRxgpPkaxP1I5R8bUmjfaQQ0F5rmnvH+pPqsj7xUPENf1ZbClf5DR8SOOzSCLOdLu7CGvKsfrDjYbFAnfeKQV6ra1w4VfrGdzexC9Xb+BWruTy+RsI7G1KKLczLnSmME2IuLVr4eKLjz6Gw4eJT8kYCJCvavFCeWYQcbW10IFUwqvtJhBxfonPbSUpVMTpyM+X9cG8eXJ9nHMO9PayapWc0pHptkgiTlEkLbVqVeoPeSyoZZJ7VLpjI+KCbZJc9ZVlSHI1iymFLBGXRcajqUksbhSCXLz5+/LgV74SqsYNQUtalNGdWmtK3du/rCyp6shMU8TZayRQyO03iIjr7ISnn5b7BthSzpxJWvlBj2VN2XY4QD3aqrdhaijirFZZ94WsKY1UxG3cyNwvfQk2bjRun3GgpF9+q8IF6UPE6c2fLcPGEnEDhyVxG0RBKc7QhErZ0UTce8GWEiCQI4o4f3/ySrPhYchD9mMrMtbCTMnTiDiv8UScTjRVVyMJSZOIOJxOPIrM/X2747N8hJEJkK/wByyo+LDxVu8Mw62c7A1h9V5cRIc2b9nrs5WlKYGmXLOgMtzWm9SuRvSIM0ARFwjAVVdBE42Abk8ZhqLA7343jurhhBPGrJRSNmzgyFli+ab370kaw8NUb3oMAOvHLzakRV68qDpTJp6F6nb27Y2vB80NNwCo/LH8v+WBz3+eo+QeRUXC1i1ejK2zjVcLz6KOQ/z3f0cQWaMwvCtMxB1zTFyHZDqsVvjwh+X+CHvKcRRpuhruwx+WNWg6o7YWdjNP/jGTiDt4EIaH8WJnPzMpbpBY2dJrXqCsDEpcrOZnRhJ+XBhoRxorgqVasrlnVHM2jYhz4cRZauIgphFxujV9PERc/r+fBeBZwg0adSKuhjbytIIu0+zuIhRxsRJxIMPnI49IKmnDBqia7uBn18p3vG27QuN8h/GWmvoYngbWlPqcHs0lQX8sZiVjhDtLbkVmjAF1dWEibqjZeCIuVyPi7M5JIOJAYp4nnxTLgrfegtWrsQa83HSTPK0okIMnVBi+RysSufHG9MqlWSokprf2xUbEWTo1lUNllojLIvXIEnFZZDzuuENur1n0dxzb35Rq3h/84OgNJ6tHnP5m2vsnikxTxOXWSyIzfzgxIm60B3nw7w+A3w/LlsGCBQkfVzr2h4OxrSn73j2CHT9BxZJe+v8kUVxsjiJOuesuijduRLn7bsP2GSsCbh/lXrF0GDrYaZ61SpxQCiTjZHEba005eNgFQL+lxHQ7HrOgL9p1bGHpe4eIc8h5ERxI/rwY7vORgyZ1MTrDmS/EnhlEXKQiDpcr7NNmsDUlioIrV8bvob3xZZgCAfjVV5pZpm5iGZv5COGs8xK2cLy6iV9/tdm48aZa5qFi+jmwI3by3t4jrGberKwiLiVwOPDZNXvZDldSu+rvN1YRt369JAz3I5nO0UTcuKqHJ56AE08MJUyjsWKf+Yzc/u1vE1grxoiOu58mLzBIMw2c9b0Vye8wAVgXzMWn2Cmmn30vHoz5dS0tcPfd8EGeYmHXy5CbCz/6UfSNy8qkoG3OHIo6m9hQfDalgQ4uvVT6EY9G/zuSdBsobRDr3jSD3ifusccm3jYltpQGImXWlFp/uD3MIYCN8jkSq9oHzAuUrUOy5lfT8aRKBAbZkcYMrVDoKMeZSCLOaeL7azsv9Mv7xUzEud1U7nwJgGcINwZ1UUoPsk99rjAl3B0eDlU1x6OI0zF7Nnzta3J/tNN/3KqwWJBG1pT6nD4W4lIy6opYLOSXmajcNBD5+eCyCRHXu8cEIi4wyUQcyPn2+OPi0//88/CZz7D6wiAPPCDz0Sz2YSVIP4XY66fxwAOwevXkHW402KdJTJ8zEBsR53BJ3GKtzRYQZpF6ZGbmLIssNASDEojb8XJVhxZ4fvvb0avZI4i4ZBvbxwU9uh2lvIgHg4PhRV+mKOIKZshvUOyNn4iL5kH++jcibCmTQLoScZGKuEBLWDHh2yuJkN7CujGtmjIRxcUGKuKam2HTJti8GeX++wHkdvNmeVxP6JmItWvhpMa20KS6/w+PJ+SbbwYsRbKwt7qNVcQNt7oAGLQ5Dd1vKpEzLVwg4bbksY9Z7xkiLpgrSXx10IAecT0R+zCYiLNoijirz2QiTlfDFRWJd7HB6C+qBcDbHB8Rt349vNbWyCZWsJnlIcLEhp/NLGcjK3i1tdE4K6eiIjw2+Q07t8Wu3isalG1L52cD2lTBl+8EINDlSmo/Rivi9FoiXREXaU0ZbTtAMnm/+hWcey709kqPuMpKuf2f/wlv19PDRz8qa4jmZinUShZH/iC2lK/XX8SMxkmQwwHY7bSVzAegZ/22mF/2u9+Bz6dyY6EWA/3nf4qcaixUV0tzvunTqevbyQs5H6T3gIvPf/5otUNwv6w/LY3p6cbwwQ/KsnjXrolFY9u3C5/lcMgplu6IJOJUMxVxEf3hKishr1bWRI4hE4m4YUnEK0UZ6qQwybBUaY4zA50jL9peWRu4cCZb+zs+NCIuzyvv19U1zrYR2Hrzq9i8w7Qxje2M9LrVVXGz2Wee3d1BKXAYUApx4YybiAsE4K9/jf5c3KqwWJBG1pSxKhRj2c7XI9f/AIXkF0zSfJsAhgolATfYZDwRlx+U78RRNolEHMDxx0vFis0G99wD3/seq1eLyPfv12rz0Ny57G9S0o6EA3DUSK41fzi2QSl/QFQOuQ0ZonLIYkohS8RlkdFYv156RHzV8ReK2veKpPrqq6NvnMGKON2WMjeXtKxKjYbiWZoiTh2SKrQYEc2DvI5DnOiVLOMTxZ9I6rjSlYhzOmGwUJQEakt4JatqgcNQRXomQhKFoYq4xkZJ1i1fHr5Y2tvl/xUrjrZoMhhP3NzMdRdt4pgjz4Ue+wT3U3VoM9ddtIknbjafCBwP1mJZ2Nu8xiriPEdcAAw5nIbuN5UorsrFhxDcLrUEFQuLF0/yQaUIaq6QLepg8ueFt1fG+CDGV4NbCjQizm8yEaeXdRttS6nBXSaFFpHjeyxobYU13BU6T/W0hX7rw8Ya7jLOyklRGCySuahvV2w7HRyECr98mVXHZRVxqYK/WNaVao8rqf0Y3SNOVzOMZU05ejuGhmDNGvjudyWj+cUvwiuvSOJ0wwbpd6Znff76V/Ly4JJL5N/bbkvuWFW3hxlv/ROA/MsvTm5nSaK/QapAgm/FRsT190tbqgt5mAUDm8SG+nvfm/iFM2YIGVdVxSLvm/xLOY+nHhrkj38cuZmjXYi4okXpuf4sLobTTpP7E6nidDXcf/xHuE9xOqOiAppsQsQpnZ2YFrhqirhdzKe+HnKq9URmbIqCRGDzSNLZUpIhAW2aIadGFPvWgG9k/JRiRZxjWN5vIkWcqsKf/gSPf1NsKV8rOAtFUUaInSP7xJlmd6cVZTarDYASNxFnqCosFuixa3Mz9bUi/W5tFXOgVCNWhWIs27k7w0RcwSTzTvHAVyJEnPewsURcMAj5SKHspBNxIJOkzjj/+tdw001YrbA4V4i4omVz08qOMhIF02X+KvTGNn+VeEQRVzQnW0CYReqRJeKyyGj87W8yef3Yco088N//PTZTNVlEnAGKuMj+cJPRuyIRVMwqDiUOgx2xVaaM5UH+Ce7Hgsp6TuHKnzckVW2WrkQchHvzWLs7QivtnDZJhPirp0/acZkBQxVxd91F0Bo9SR202uCuu5Lb/zgIBOCcLzeykRXczmdCj1fSwSZNrXLOlxsn1abSViyES45vyBgfLw3+ThcA7lynYftMGTQV5bHezViQ76RY7WW5spmFQ6lRUU468jRFXByFEmPB0yNknlvJM3ySsuYLEWf3JX+co5FKIi5QpY3v7fExZjU1cA9rWMmGqM+vZAP3sMZQKyd/hezM0xybIq5pb4BKZKFSPDcb0KYKarETSL6fU3+/sYq4Vau01kljWFMqCmHVw4EDcMop4kNus0nG9pZbRJUaafmm2y3edx+8+27InvLBB5NbQuz+47MUBftooZZV3z4p8R0ZAMtxQsQVNm+Pafs//xn6ewP8KkfrDXf11bHbZsybJzaVTifvV1/hIT7K977hYcsW7Xmfj+JBGaumnZCeRByE7SlH9ImLgkyypQRx+y6uLaRF7x1tliouQhE3fTrk1kisnO/vM1DaMxI5GhFnyxJxCaFoWj6DaM4DkSxYBBGXCkWcbdAFqOMScV4vfOlLItT9gPoMAOf89uyQ3Z0OnYj72rn7zFPaHJB4upkZlJTEXx9tpCosJtTXCyPp9VIVaMVmkxCuLXajAsOgz+njLe/r62NTMkYScSaYT5gGtULm1sARY4m44SGVAo2Iy6tIAyIO4LLL4Prr5f43vgH/+Ee4mWwas6dFMyTXmhccAvcExZvBIGUB+S2d87KKuCxSjywRl0XGYmBA5oWruZGS4SMwaxZ84Qtjv0BbceXhZrDL+Mr6MWGAIi7T+sMBVFQqdCIJzd69sdlTjlVtdiliS3kvlyZVbaaq6U3ElcyuwI8VRVVDP3pBtyjilBnpmwhJBEYq4tbmreGEQPQk9QmBDazNW5PU/sfD+vUj1So6LAibrKtVDKuQTAC2kohFswGki45gtwsI26NlFDQV5Vf+ujxExOUxzEZ1OY73m6+iTAeEegcOJ6+I8/XKPjxWg/vDAVZNEWcLZLYizlIrCdW8npa4XqcnQHQiTq9TCWhLeAUMt3Ky1B2tzh4Ph7Z0YiUoishM8c+eCih1AmDtdyW1G6MVcVYr3HTTaEWcnLl6Iu/GG8H6ykuiWn/zTTlvnntOsrbRsGwZnHeeZCKvv56VK6Vd8PAw/P3viR9r95+Fodk2bzXFzskNi0tPEbu2+t5tE6oefD75Dj/O35nr3S4E6re+Fd8bLlkCjz+OWlDAf/AMt/su5ZMf90sLn5YWrARx42D2Sel7TZ93ntyuX8+YbQfefRfeflt43o98JGWHljRG9Ikzi4iLUMRNnw4Fdc7wcyb1ccj1yZrf6swScYmgvBy60PrYRvpCplgRpwSDFDJAZ+fRBbQAR47AmWfCrbdKEfQJykYAHOeeFbK7+6eIkUNE3BzLPvOOWyuwO0BDQkt8I1VhMcFmk8UdYD3YFHIcngx7Sn1OHw8VFbGp9bzdQsQNWwozprgcwFYtsYG1y1gibsjlxYYUPeRWpNGY+N3vwle+Ihf3pz4FzwiRPmn+qDGgtLEEP5pcbwLVxUBzF1Yt/q88Jn3XOFlMXWSJuCwyFg88AI7BLr5n+ZU8cO214/d1KS5G1Wb8YFcKJXEGK+IyBXY79Fhk0dK3LzYiLloV2Vx2s4JN+LHyDz425naxoLNTOB9FIW5LilSgodHCETQ1gfYhywakgs8xJ6uIi4aQinKM5634jfXsH4XWVlGr/JT/ifq8rlYxrEIyAeSU5IX/Gd1hPAnodmj+Iqdh+0wZ7ror1HNxtIoSm7kqynSBpUDOC8WdPDnr75d9eK15E2wZP2yFmiLObCJOT2iVlxv+PgA5MyQ7UzgQ32BgtcJNv3TzbWStc4QqruRmNrGcVqppp8pwK6fcmXKsjp42fL6Jt+/cLvYufY7KKdXLNN1hK3cCYB90JbUfo3vEgThJ/uo+KSAqYCikmKyvl/X76vab4QMfkAXusmWwcSOceur4O/3hD+X2zjtRmptCqrhE7Sk9Az4W7HoYgNIvTK4tJUDlGaKIW6DuYM+u8Rctf/87tBz0c631x/LAt7+dWMHf+96H8sgjqDk5rOYhvvvu5/jKl4Osv1vWngeZzrwF6ZsumD0bFi6UBPBTT0XfRlfDnXlmUjWRKUdtLexmnvxjBhHX3w+HDwNhIs5ZaacfLRlskn2Mwy+J+JyyDPAITUOUlxMqdJ0URVxurgT5gBMXgUCoPV0ImzfDCSeIw3BJCTzzg3VSZLpwYUgKZ7WKorWiAvZr6mn2mUjERSjiEskBTKQKG6H0Ngpp1Cdu9WqZu0en2qqq5LEtW+ATn2DCNaO3R9Rfw9Y0Ip1iQO50ScLl9BlLxLm7wv3b9Z7uaQFFgW9+E04/XaStetH0xo1ygW9KP/eYikqFHmTw87aNb0/ZvVMK3rsoo7DUbvqxZZHFaKTvyjqLLCbAbbfBD7iOomAfLF0qs/94sFgI6AnjVHpTvkcVcQB9DgkUhg5MTMR5vbJgj8RyNvIkHwTgGc6mE1kEJVptpqvh6uokjkg3NDZCq25D09bG4CDU+EURl649OhJFUZExijhdRdlOFV3a4qsbJz6tIup01hnr2T8KNTWQyzBf4Q+A1iOLsFolcrvJQn6RlWG0E35wcPyN44DS6wLC9mgZhTVrpPdQNGzYIM9PcVgKRb1m9RiniPOaoYgrEnIvx2AiTlXDRNy0aZiuiMufI+XMpe74WfkZf/8Vs2iihWrms4tbuZKVbGBVfRM3PVhvuJVT/mwZsKppRWtTOi7635Uvcqgoa0uZStgrnQAUBlwJi51VVaZgIxVxOi78hANVK+O/85om1q2D/bu8rH76S/DlLwt7cskl8PLL0BDDGuekk+Css+R1v/wll10mydx//zsk7IkLG3+9jlK1hw5LFcd//ZT4d2AwLLNn4rbkkc8w+5/fP+Z2qiqtWy7nDmYH3pUx6+tfT/yNP/ABlH/8A9Vq5Qru4IS7vs7TP1wHQA9OFi2S/s3pCl0VN1afuEyzpdQxQhG3e7fxb6Dts9tehYtSpk+XUFVPZJoRKweDkBcQIs5RnlmJ+HRBWdnERJypijhFCanipuXIe/7rX+GCx3vvhfe/X/qlzZ8vS+rl3Zqa5qyzjtrd3LlhRRz79kWX1xkBjYg7QENCRFykKmw0GTdC6W1k/yydiNu/f9KJOBAyTp+q//u/Yd06aGmBxx8XJ+lHHoHLLx+/+NXvkuvfbc+s679wpuSgCobMIeI85KRfIdvs2fDCCyMfc7lg+XJxM0gz95iSEuhGhA99TeMTcb3vSnK1x55hydUspgyyRFwWGYm9e2H/SwdCyW+uv14M9SeCU4ILS2+Paeu8o/AeVcQBDOVLoOA5PDYRp6piMbpwIfzhDyOfu5zbmaX1FrmXS5OuNktnW0qAGTOgDbEEo7WV1lZoQAKHvHlTWBGXBBGnK80OU89P+AkAr3AK/8UNAFzNTeQxZJoibdUq+E7OTdRwhAAWNnP8CLVKB1XGV0jGicJCGESrsjOQiAvZoZka8ZsPnTQdTZ5OdViLNCLOmzwRFxzQiDi78UScXVPE5ahuI1sc4nJJAQikhogrWSDk1rRga1ykSfeGd1n0yHUAbFxzE2ufLeLaa/fx7LNBdjU5TOmnYqmReaiaNvaPzQeE4G4SIs5fUW38wWQxJuxVsqZ14ko4Zz6ktQ41WhGnQ9Eynh+8/7Oc7nkK6398QHrAKQr84hdwzz2QH8e48d9aP7S//pWa4GE+9CH5929/i//YBm9/AIC9iz+KNcfI7GmCsFppcy4EoPeVbWNu9uyzsGOrh58oP5UHvv99qW5KBh/5CG987Q6CKHyVP/AtfgNAIYMcPgwXX5y+ZJzeJ+7xx4+2RmtulgJ+iwUuvDDlh5YUTLem1NjrPdb5gKh9Iok4M9xjhoehCFnzZ4m4xDCWIk5NlSIO6Lc5Acjzynt+6lOSk//oR+GTn5T2TB/+sJBw8+cjgxZEJeLmzRNyLKhY5AQ5csScg46wpkzUFUdXhUX2t4MIpbfR6zH9QNNAEadDLw5fs0bEUlariNsffFCEkvfdJ51ixlqv60ScN8OIuOLZkoQr8XbwwgvGOe14ujWFoCWN1HA6ItxjQtATqGnoHmOxQL9N8q0DzV3jbju4X8aZ/rxsAWEWk4P3VtYpi0lFICBFFffeS9IT2B13wE/4Cbl4ZBXwwQ/G9DqlQgbnokCPkQ5t40PPjiRBxGWqIs5TJIGCrzU6EffKK3DyyfDxj0sRXHU1/GBNM8vZxPFs5lPcDYjt4H4aOV7dxC0/aE642izdibjRiri2JjfTkB9/SveIS8KaMlJpNgf5gXeygJv5MvtppJZWvs7vTFOkvfl0B9/0SkPjz/NnTuCNkFplJk0cVuqNr5CMEwUFMKQ3djdw4LMPuQCwavZoGYeqKvwV1WxieYg89VVUZ95AmyAshaI0U4eGk56TdWtKv914a0p7kRBxeQzj8Ri3Xz3X43RqCmk9oWWSNWXRPBmEqujgyKEY/B4BVJXW1V8hFw+vFP4H5/z1Y5x+OnzoQz2hBIgp0AbMGlpjcooKtsqXaa3JBrSphKL1iCulJ2EiTp9+zVDEAeGK6e3bhc15+WUh+x57THqQxNsk5tRTpbLF64UbbuDTn5aH77gjvjGss83P0uaHAZj2lcm3pdQxOFPsKdXt28fc5oYb4PP8hQb1gFyrX/5y0u8bCMDX73s/1/M9AJwaMdtAM0vVzRyvbuLXX202zeY7GbzvfUIgdXfDa6+NfE4nD1etyrypvbZ2FBFndAXpzp0AvO1dABBSxOmKgqFD4ysKEsHgIBSiKeIqstaUiSBSEad2hOPrYJcLMF8Rt3Yt7GiVN3DiCj1+6BA8/LDc//73pf9bSQnSDG7PHlmwnH76UfubOxd85NCVrxWcmmFPGQyiy/sTtabUofe3W7dO6kjWrYP9+00g4SCtrClBeFJ9zTBt1HLv3HMlx2exiGvV178efcgK9mlEXE7mEHFr18LHv6Ip4hjiw2cM0dhoTHFKuGdeGhJxGegeM5gr89fw4fHnL+9Bya8NF2XYwiCLKYMsEZdFSrB2rawlzjhDKqXOOIOEJ7BgEF758ztcwe3ywC9+EXMgbymXErFkkhZxQ1fEJVGelqmKOH+JBAqznv8Lm27ZGArgd++WBespp0jQXJCvcsM3W9j3v4/z87sb2cgKNrGcUsI/0npOYyMrOOfLjQkfT7oTcZGKOP+hVvp2yGrbbclLishNR4wg4pJQxEV69i9Akgo7WYAXB//DNQB8X/kFqxaZk1DYcek1lNDH7sJlPFf3aSI7jlVNd5hTIRknCgrMUcQ5hl0A2Cqchu0zlVj7ej1z7U2sZEOIPF3gaGLt6/WTfWimY+1a+P1fhJydO/wW/3XGxqSCSnVQCN5AjvGKuJxiIeJyceM20J1yRH84CPeIM0kRp1SU40MqS7t3xFbxveua+1nU8gxuHOT+5Q/Yc1LU2V77UmponVARp6pg75IvM3dmVhGXUmjZ1mQUcfr0a7girrlZeog4HOHHBgZkofN//weLFiW+7x/9SG5vuYXzV7ZTVib2WM88E/su1l+3nio6cFnLmfnp0xI/FoNhXSJEXMmB6Iq4rVth/dND/Ihr5YEf/Qjyki+AWL8eXmtr5IdcP+LxAobYzHI2soJXWxtNs/lOBjabqG8AHn105HOZaksJorrZy2yxPO/tHWlDaAQ0Rdw7wfkoiryfwwF9FolXh1uND5QHBsJEnKU4cxLx6YRIRZy/LXxOBLpdAPRbnBSYlNPX+3K7cAIjibjI4/vZzyIKhXQ13MqVUQs95mpc8wFrhD2l0ThyBHw+AlhooTbpPvE6p3jppZhbFJVm1pR6AZvDEX2pcNFFcPvtEpP/4Q/wne8cTcY5DoglboFiXDxqJtaulRqid48U4dXW8GfynGFKcZ9Lvge3NQ2JuEjozmOxOJBNIjz5ki+bqEecXkDoK8sWEGYxOUjvKymLKQF9Ahu9cEh0AnvhBfhq6w+wEiRwwWpZ2MUIpTTFRFxkB+P3mCJu7Vp4ZacoC8rdh3n5S3fS0ADnftDPx47ZTt5Dd/Nrvs32urPpzZvGt35bR97F547YhzLq1ocN718Tl8GnOxFXXg7dOaJEcO9vw71bqve6ChrirxpPc4ywpkxCERfp2a8TcTsQa6d7+CRvcywlai/WG36Z1PFGw2+u3M0lvTcDUHv3DexvtqSmQjJOmKWIy/e4AMipchq2z1RBn5eaWh1EjjT7WxxpbcFlBPTP3tYnydsiBriMO5MKKnUizu8woUdcQYqIOJOtKbFY6LbLm/Xvaplwc1+Hi7JrvwHAk8f/kOWfmGPOcUWDpoirpIOmveNLYLq6oNQnAW3xnGxAm1JEEHGaK1nc6OsDCwGK0Rk5gxRxjY3SQ+Svfx35eHOzDDTJ9BY5+2w48UQYHsbxh9+GirJvuy32XfjvF1vKwysuED+tNEHZKiEoG/q2haxzI3HDDfCf/JEa2oTU/PznDXnf1lZYw12hYgEdkevvNdxlms13stD7xEUSca2t0j8Q0mMtFi/q6sBNHocUTSlkdJ+4neHitWnTICdHHh7KlVjZ22YuEUdhlohLBAUF0GuV+NrXFmG/1uMCIFDkNC1k1Ptyj0fEdXWN6sutE3Fnnx11n/Pmye0Oj4lEnGZLeZg6AtjSrbXV2NAZwwMHmF4ra7F0IOKmTRs7LfGpT8HNEhpzww3w05+OfN65bzMA0717TTpK46ATz0ImKniQwqI13BMiGK++OklHkV6tR1y6WnVWVUmgtHy5/LDLl8v/aZqU9BVJvtXfPj4RZ+nMwORqFlMKWSIuC1MxcgIbiUQnsJd/9W8u5BGCigXrL34e3wGlmojr7Q1/0AQVcYFAyE2BAweM86Q2E0/c3Mx1F23C5hkIPfZFbuXplmNY+3Q+WwPHcjef4r+4gWMOP4u1q0MqbI45RiSTYzSdX8kG7gwmLoNPdyJOUSBYFVbEBfZLf7h+59TqDwfGKeJAEiwP3TnADK2f3i6k30VOrpXva9Xd6u9+Z2j08vTTcOzd38OOn46V51L4kTNTVyEZJ8xSxBX4XQDkVjsN22cqYMa8lCkIBOBXX2lmmbqJ6dr1AnAJ9yVlP6YOiTVl0GG8NaWSN0WIOKA3Xy+0mDibve3CH1Hpb2OPZR6rHv2OaccUFZWVqBYLVoK4drePu+n+/dJLDsA+PauISykMUMT19UUkxsE4RVy03iI6ku0toihhVdwf/sDnV0vC5eGHwyYU42HH9iCntEvFQd1V6WNLCVB5hiji5rGL3dtHWtgePAiP3dvP9/iFPPDjH4fZkyRRUwP3sIaVRLehWskG7mGNaTbfyeJDH5I1144d4bX+Qw/JnH7SSUf3dMoE1NbK7W7VhD5xwWCI2NvFfKZHhBmePIlXfR3GB8pDLi8ONIY5S8QlBEUBd6GsU4LtYUWc0ucCQC1xmvbeOhE/HhEXuR3BIDz3nNyP0h8OYI5WY/SOTsTF0pg2XhyQ9W4zM6isxDTFoOGorZX50u9nhl0KuA4fHrv/mtmIJOLGwxe/CDfeKPd/+lO4+fuaQn7zZpxtosSd3r8DNm+WxzWiNN2wfj1YDjVzPJtYxmZpiQN8iCdYxmaWqZtQDjYnpRT390lc7rWn6UlZXy9erBs2wJVXym1TEyGJZpoh4JQiBXWCxaDDpVnq12YLCLOYHGSJuCxMg88nk/B4uW9VlcAy1gmsr1flzGekf0HneZ+BBQviO6hUE3H6JFBYmFDFrW7pqSvi/vM/E7f0TBUCATjny2IveS3/HXo8DzeL2IEDSSyoJ78fvvIV+POf4Y03pExy+3a4+2644gp5URQZ/E03JdYmYXAwnHhNVyIOwDZdshzWI61YDgsD666aWv3hYJQibmAg6ajigoWSUGinksr5uTz7bIDmZnh7+rms5xQUtxv1Jz+dYC+xoacH/rTmZVbzEEHFQuVff2XIfs1CYaHxRJyqQlHABUB+ndOQfaYKekXvWIh3Xsok6PZjm1jB3VwWerySjqTsx5RhUcSpucYr4nTbNVOJuGAwPF+b1CMOYLBEMqv+Q+MTcW2PbWTJv/8IwLvf/BPltY5xtzccViv+MqkSdTe1jbvp/v0wDS07U50l4lIKA9a0/f0R/eFyckZaSSYDs3uLnHceLFkCAwMct+4mliyRtnH33jvxS1/6xb+poY0BWwnOiz6Q3HEYDKVhOoPWInLwcfD5kcTLTTfBVwI3UUGXyEguu2yMvcSPkM239n9ASxHotwrSQ2zVKsPe0lA4neFje+wxuc1kW0qQtVtxMexGkwwZScQdOABuNwFbDk00jsipegtlXAl2GR8oD3dEkP5ZIi5h+J1awVCXRsSpKrYBFxDuHWoGdCJeJ+JCc8cY27F1qxQ5FRaO6WBUWCh80z7MV8QdoCFpW8qUwmqFBskBVA7ux2IBvz+cF0o1YiXiQAoer7tO7n/pF42ikF++HKtfFvKOwKCoq1asSE4hbyJaW6EZiZk2sxwbfgCc9LKZ5WxiBc00JqUUD2pEnC8nTYk4kHWhLoFUFOPWiSZAKRdFnNU1PhGXPyAXUW5DVhGXxeQgS8RlETMCAbGFvPdeuY1WMe/xwL/+BZ/9rORj/uu/Ytv3D38oAdNYOeJAADbdspHeWUs5Jbget5JL5R9+Ev+HSDURp79JAmo4oy09U4X166Pb2+jwYeVT3MGLP38Z/vd/xVZnxYqRPS6iyOCDVdX051bx9tty/sULfV1fWppUuz7TkTdLopfc3jbyOqWCT62b4oo4EDIuGURY7Bx//ACnny6n0QMPKvzIJraU6l//GtouGXztqyrf7ZTBLfCZz4uSM41hhjXl0FC4Erao3mnIPlOFWAOmdLXgSgZj2Y9ZkOqGRO3HwkSc8Yo4clOgiHO5wsUAJhJx3goZ35XxvuBAgMHLrsSCypOVn+KDvzzTtOMZD5ZabS5ytY47PEcq4mLKzmRhHAxSxBneH240zOgtEqmK+93v+OInJCH8t7+N/7JAAKwPiy1l5/svMExRZhgUhbYysafs+3e4T1xvL/z9lh7+ixvkgZ/+dGzFYQLQbb7bqaKVajaxnCu5mU0sp5Vq2qnixhvTR+kfDeefL7ePPSa5/xdflP8zlYgDISjeRVPEGWlNqfWH6yyZQwDbCEVcsFiCJMWEQNnTJZOJR3GklSVspiFYJkScrUcj4gYGULQ1jLXcadr76oR97xiKOEUZRdjrtpSnnz7u7z13rslEXIQiLqOIOAjZU9oONoUIzsmyp4yHiAP4/vdlmo6MO0a3HQlak1TIm4iamvGPXY+ZklGKqwOS/PQ70piIyyDYqoSIs/d3jbtdsUeIuMJZWSIui8lBlojLIiboyqwzzhDnwDPOCCuzhobkds0aSXyfd570aejujr3VxL//LeRSZaXYzN19d7i1mv7e//7S7UzvfguAW+xf46E3EpBET5YiLs7+cJlsndbaOpG9zevczWXjJ3qjyOAtB5r4j8/Kb67bHcSDdLel1OFcIIoCu99NXffbANhmTT1FXFERuMkNEwJJ9IkDQgTbDhZSX+8JPXzCCbDmDyfzCB/BogZp/+IPk3qbf/wDvPf8g5PYQCCvAPvPjVHZmYlIa8rggDGKOFebmzyEFcmrcRqyz1Qh1oApXS24koFZ9mOKR6wpyTdBEacRcfkM4x5OQA49BkYQcbotZXGxqYl5dZp8sfbOsSfA7V/5I7Ndm+nBScP9N0xaX3RrncxF1bSN6xTVtMdHJdr3l1XEpRYaEVfIIH1dvvG3HQN9fRGqBqP6w+kwu7fI6tWwcCG4XFw++EdsNti4EbZtG/slLzwf5IMDIpWq/Wp6MjRDs8Sekne2hx675Ra4cuAGnPSiLl4MH/+44e+7ejXc9GA9p9Q1sZIN3MqVrGQDq+qbuOnB+rTvs6YTcevWwTe+ITHS0qVkXuI9AnV1EUSckYo4bc3cnC/OMpFEnFoqMaulNwaf1zjh7RIrerctq4ZLBpYqIeJy+jslMaA1CfWQQ0F5rmnvqxP20awpdcHMCML+mWfkdgxbSh0jiLjDhzG06gpCRFzGKeIgrBZragopVyeLiDvK0j0GXHMN9J/3Sf7Ox6I+f0JgA2vzklTIm4RVq+Cl+jWcNEbMdBIbWD99TVJKcbVfihMCWSLOEOTUyPyVOzT2/BUMQkVAWGXn/GwBYRaTgywRl8WEGEuZdeiQVBmWlsrtPfdIQF9bC1/9qgRC7e2a1ckYDV0VReLxb3xD1hnDw+Lp/6lPCSl37rHN/PyiTVQe2szl3A5AEIWHvedw3UWbeOLmOD2lM0QRl8nWaaMTuKPtbcba7ihEkcHrreMefTRMrMWKTCHips/NpUcLcOYPvQlA3vypqYgDxbA+cezYAYgiLpKIA/jCF+CNC35OEIWq9Wtpf+z1hN6itRWu+pKHXyD2uNbvfScjEs+RijhfrzGKuP5DkrgNoqAUF02wdXohZME1zryUzhZcyWC0/ZhOawW1RxK1H7O6tfPKRCIOwNPvNWy3UYk4E/vDQdh6uKC3Jerzw3tbaLhVigWeP+t6jjljEgNEbZKuoXVcIq5nVwcAQYvVVDVhFlEQoWDztEe3CJsI/f0mKuLM7i1iscAPfgBA4S2/5eJzpNDkttvGfskr/+91pnMIt72QnPP+w5jjMBj2ZULEOQ8Jo+j1wl2/becqbgJA+dnPjFUXRmD1atjd7GDdOoV77oF16xR2NTnSnoQDePttEQkGAmGBxb596esgEgvq6kZZUybizR8NmiJO76kcScQpZRKz2geMD5T9Lkk6u+2ZtW5MN9irZa61BANSuawRcS6cOEvHWNwahNWr4YqrncBIIq6+Hh54gPBY4XaHExVnnz3uPufNgy7KGbIVyTludM+wTLWmhDARt3//pBNx8SriQEiPE9b/ljWIb7Qeb0TmhdK1uFwnnnXoxx45CierFFeGZN0SyMsScUYgv06IuAL32ERc14FBCpC4tXxhVhGXxeQgS8RlMS7GU2bp8Hphxgz41rdE2XbwIPz+9+JC4HCEJ7DRSU/9/z/9CX77WwmWNm8Wm8qFC6XH3L+2h32ZS5BEvYLKOs5kIys458uN8U3cGaKIy2TrND3R2zGGvU0HVQknuefPl4bsqiqulvEgU4i4GTOgDSF39KbAzsVTTxGnF96H+sQlScSpEdaUo4k4RYEf3HMsj5VeDsDBNd/D64kvmaGqQuh9ovuPzGI/ak2NDHoZgLy8sCLO7zJGETfU4gJgwFJsWkLQLEQGVmPNS+luwZUoRtuPHUSyby5KkrIfs3pFEWcpMM+aEsDXb1yVdFukm2KXZmFiMpGUO1PIreKh6JP3nvO/QZHaz+aclXzwwS+aeiwTQisymIiIG94vX6SvtCrjxoKMh82GN1cS2r4OV0K7MFURB+b3FrnkElnYdXbyo8pbACFhfFEEggMDUPysqOEGTj9/xNiSTqg4TawpGwe24XZLS4BPH/kFhQwSXHECfOQjpr6/1Sox3KWXym0mzIV60ajfP/Lx/v70tvOfCLW1sJ+ZBBSrWNC0RC/iiBvamnnL8NGKOFulxMqOIfOIOG9OVhGXDIqrchnQez93dYWIuF5KUtJ+4cSzpGhj5TyXRtiLTfUIwv6VV4SMq6mRxM44mDsXQOGQXWPJjLannALWlOmgiEuEiNv10/v4715p59BHERtZMSIvdISqtC0uBzmnr721inZLdagowk0u7ZZqrr21KukiFZ2IU7NEnCEobJCca5F/HCLuHTmRh8jDXpqdi7KYHGQj5izGxUTKLB233QY33ADve9/ReZjVq6VCqq5u5OOjK6cUBZYtg2uvhXfeGOTfl9/MYY6WTY32ZY5r4s4QRVwmW6fpid7DSj0zGWlvM5MmDiv1SSW5r7pKbv/61/i4mz175DbdibjGRmgddd6XLZl6irjcXKlcDinikrGmDARCvTN2K/OprT1aNZOfD0se/ikecljet46/fPzpuN7i//4PXvlXD//NzwCtIr0gMxbNFgv47BoR12cMETfc6gJgwOY0ZH+pRqzz0lREpP2YrjTvpSQp+zGbVyoLlUITFHE5OaEqVKOIuEAAOkTIlVJFXOG8WgDKvUcTcQf/8hSLd/ydABZ6rruZwuJJXqJrC4xq2sbMiQUCEGzVMjMZoA6eivAVOAFQuxNb1KakR5yZsNmkEQ1wzOO/pqHKTXs7PP740ZuufVDlAp/0hyu/8uJUHmVcKD9NFHFz2MOurW7uuP4w/8kfAbD8/Nqx5dzvUWSynf9EqKsDP3ba8xvlAaPsKTVF3Gs9ooiLFKnmTJOYNc9tfKAc6BUizufIJj+TQXk5dKKtVzo7RyrinCk4AO1NigKusQl7vT/cWWdNOGbN00Sfu3wm9Inr7w/lYzJaEZeJRNzzzzP/OimCvZGrqKR9RF6okSYOIx8qHYvLdZzzhXrK+5vY8/8eA0QRV9a7n3O+kLy63zKsEXEF2THRCJTMFCKuUB1A9UR3Uel9V/rD9dirsuupLCYNWSIui3ER66SoV5aPhdWrxY1m3TrGrpwCkdN973swfTrvu+PL1NHKANETe3ovm7gm7gxRxC1aND5Rle7WaXqSu7LeQWRr26rpjqST3P/xH6KM6+uDv/0t9tdliiKuqgo6LOGEZrelHIsZye1JhvL/2bvv8LjO80z495kzfVBm0AiAAJvEpmJRImUVh44kKy7ZTWzTSvFyky/ZxFGqpdjZZJ1442TtfHHJJpLj7GqVsnvFjOLNJ9OO7Y3XTiwpphOJkkhJpgpFiSQAEr0NMACmnjnfH885U4AZYMqZfv+uS9dUDF6BwMx5z/0+z6vI4ntLKuJGRqDEYgjDDX14BxyO3NVuO9++E+Pv/RUAwB1f+0/4279JFvTyly5J+9zfwR+gC4vADTcAP/MzpY+3BhJO+R3SQta0poxOBwEAa06/Ja9XCwV/LjUhs/3YJ07eDADYjVF8+yurJf+/O+Lye6VW4r1KURCzSeWKVUHc9LS0y1EU4JVXgORMdYK4wHUSbvXp0wivpM8K62th2D4s701f2/UA7vnIoYqOoyAFVMRNTAA9mhwAOoe4z0ItJDv8csU4EVusUKjCFXHV8FM/BezYAWVqCn9yw18CyH18+PSfncVujCDm8EJ5z7urO8YiKP3bELR3Q0USf3L/edz3+qfgRhSJO45u2eKtFTVyO/+tmIuFRuwW7hMXCqUq617R9sNmk8o7k2dQ5sreRGhjiWGZ9GU51k+4edK5HF1d+YO4alTEpdK+zT53zCCugPesPXvkeOxCogJBnFENt4AAVpX2rOrPhmAGcVeuYHhA/h4bIoj7/veB978fqhbH3+HH8BH8MWJwI/O8UAzpCvl6XFyeSfW68M6fk18eLyJYHCtzSw3zdSPGAtm2xljcW++69vhTizfXxnOf7F27LL/IIQ/nLVQ7DOJoU+s/FA/jeXwH9+Awnt/0ebnkbXWi68DTTwM/8RNSfv+ZzwCLiwgP7sEDeAjvwTcBlLHXWCbj6NSLMFbmo1s82QIlVMTF4/KjMFduNmrrtEqd5LbZkNor7vOfl5OpW4nH0+3m6z2Is9mA1c70L/WMq9FmDIXr6LCoIs5osfM69mP3tZv/Uez5i99GxNmOm/EivvUf/jdeeWXzl9Y0ydx6Vi7jw8qfyp2f+1x9//HlkDA2gU6GrKmIM9ugRd1+S16vVhqxBZdVVBW4+/1+XHHJm+LVr79Q8mvZE9Ka0t5egdaUAOKqBHGJlfKDuJMngVtukeu6Lou1H/mUEcRVuDVlx7V90GCDiiTmXptN3f/yv/9DbA9fxDi249Df/359LNDMqIjLF8RduiSPA4AywIq4mjBOiNqWgyV9ecNXxAGA0wn81m8BAP7tq5+BAzF84xuyT7XpyhVg53NSDRe/94crs5+lRU5+RcHLSWlPOfzS1/Hz+AsAwL+8h9VwuTRyO/+tmAHZa5pRMmR0fyiLUQ0X79qGJfgxMCCFpSbfdn/6RokBf14rUhGnebhHXDnqpSIOwWDuUtT5eeDMGbn+jnds+XJut2zNcAmVC+LGsAPbt1vfHbniBgbkM07TsMcpCVwtgrhIRLYjBAoI4sbGgPe8B1hehn707fjt7X8NKLlPO9f74vJMznYXpmxybDx/1pp9DO1RmZcrDOIs4Wu3YRFy3jV4OXd7yugVOTgMt3N/OKodBnG0KXO/L3Pe99P4a9yDJ/FT+CKAEj48n38euOceuYzFJKG57TbgzjuBv/s7Oet9993A3/89nJcv4OTQAxjBHuv2GuvogG78zyTnq1ASV2RFnK4Dv/IrElq1tcneeY3cOq1SJ7l/+qflfNGbb+ZuP7Te2Jj8arnd2as+61WiJx3EBTuab384U1YQV05F3GuvAZD94a65Zou933p64Pzt/wgA+M+xj+Mn3h/bNAP8kz+RVdSftf82nHpMztq/612lj7VGkm456aivWlMRl1wIAgBiXr8lr0e1Mz0oqdTqqbMlv4YrYVTEtVfm5LYZxGkr4bJex9xHyFzVa3KtyB5xr0xXtiJOsauYt8nEb/FVOSu8/Ox57P/KpwEAT3/wYex+S52coDSCuAFM4tJFPee5tsuXgW0oYdMQsowt4AcA2FeCJX19xfeIq5b/8B+A/n44p67gd3d9EYkE8Dd/k374b07o+AAkiPP9P/XbltJ8j3opKe0pfx+fgAMJfAvvxN2feHvD7nVWSY3czn8r5hzwpTULK+KMIC7YL20p11cI+XvsWDK7VSzk32enFMqqBHFJtmErS90EcZoGrOZY4Pfkk3JS47rrCp54791boSDOWInbkG0pAVmhu3MnAGBYGwEgQVyuY7JKMo+bnU5s/ju2sAC8+91SdXv99VD+/qv47OflGL5RF5dnmvXIv8Xyy2OWvJ49Jn8/ajuDOCsoCrCsynnX0Mh8zuckpySIi3cxiKPaYRBHm1JV4NHfGcXN+hncjLOp/WR+Fv8Tv4VP45f1L+BLH/wq1Ddfl0/o6BZVZn/913Jw9uEPS/Xb8ePAc8/Jp/rP/izw4ovAE08AP/qjUJ2q9XuN2WzQ2v1yvRq9KYusiPv854E//3P5EPnSl6QdXqu2TttMWxvwoQ/J9Ycf3vr5ZlvKPXs27mFYj9Tt6coC1dtoS/cKl9Wa0oKKuPM4gD17tn667aO/jmTvNlyDS3j7G3+Bn/3Z3BOal18Gfud3gFvxLH4s8SX5w/zc5xpyRXrSaxzg55owl0BfDAIAEub7KTUs7SYJ4tyvlRHEaRLEOfyVCeISdiOIWy29Im6zfYS6IRVxJ/5vT8X3EVpwy9ngtTcnAF3H5LFfhhNxPOX7YfzIX9XRh7vRmtKLMNRwKLWnXqbLl9MVcdwjrjbUXmM/p1gQ8XjxXx8KNUFFHCArrf6jLLL5tZX/FyoS+J//U/7edR14+tFz2Is3kbC7gB/+4RoPNrfM96hXIBVxNsgblrk/baPudVZJ6xeNrtdIFRfr9ffL+M8nLQzijGPmqc4DADYGcYEAUhUFVs+VbavGojsGcWXp6gLmYVTwz89XvzWl15suo8xVNfmP/yiXRbTS3RDEWZU0GRVxo9jZmEEckGpP2bMyAkBOt83nzhgqJrMtZd5pcCQCvPe9skB2+3bgm98EAoGm2pd7yS9BXOwNayrinDFZnKB2MIizyopLgri1K7kXktjm5JdZ7+MCQqqdBjglTbX2nl/ahTM4grM4DL8xWe9ACJ/Gx/AF/Bru/Oz7gQMHZLbgdgMejyw7PHgQuOMOKYV617tkieejj8qLPv20rJTp7gY+8hHpGfNXfwXcdFPW967EXmO6X45QbUuLlV9NVERF3De/KT8KAPijPwL+zb+R663cOm0zv/qrEqr90z9hy/aCjbI/nMm5M71st2NlomlPurS3W1QRlxHEbVkRBwBtbbB94j8DAH4X/wXfOrmC//pf5eTWU08Bf/u3Mof89/8eiMV0/FXXb8jX/fRPA4cOlT7OWjKCONuaNUGcshQEkLE/ETUs/z0SxA3Pni35M9GVlEo1Z0dlWlOaQVxyrfQgbrN9hHqMIO7CYk/F9xEKtcn7e3R0Epc/9TfYP/4kwnDD+T++AJe7jkJ+rzdVIZVvnzhWxNWes88PoPS9j5umIg4A7r8f6OlB59wl/JT9Szh3Djh7VppwHB6Rajj9Xe+Wg486dOoUYLs6iltwBjE4U/dH4EQCdtysn4FyZbQh9zqrJFVNL8prhoqLTHa7vLVegNGa8uLF8pNYoyLuslMq4oaGsh/ODOKs7h6jhuWkc73+DTaKzIo4fbYGFXGKsvk+ceb+cPfeW/BL7tsnYVkSirQwnZsre5gAGr8iDkgFcfYrl1OHWtVuT7nl/nCaJhPn731PFvV885tZKX+z7Msd6ZcgLrXnSZlcCZmX2zsZxFkl7JHzrtHJ3EGcMygVcY5BVsRR7TCIo62dOIGEYs//eHd39iraSASYmpKT4888A/zzPwPf/jbw5S9vrJibn5f+i3353wit/uC2dcvkoi2xiEj5281szjwrskUQ98orsi9cMgn8/M9LJRxtbudO4H3vk+uf//zmz22YIG50FE987gy+83j6wKF/9hz+7eBZPPG5M5Yd9NULqyviXsPBgiriAEhJ5Z496Mc0HsRD+K3fkvUDd98N/Lt/B7zzncBLLwE/4f4ablg4JYsMPvWp0sdYY4pPKpWUiDWtKdVQUF6vKjN+qqSd77sZAHCtdgFXXy3+71DXAbcuv1fOSlXEOSTgK6cibrP9gbohS4vn0V3xfYTW/NKm6frHfx+B3/s1AMDXbvpd3Hm8Ds8QGVVumwVxrIirLbM1pR/BkrZzaoo94kw+X2pF26e8fwAbNHzqU8DHPw58AF8GADh+sn7bUk5OAqOQxY9/gQ/BXBfhQgxncRhncASj2NWQe51VWjNVXKy3fbuECJrdKfPoK1fKe0HjmPmV5NYVcWsT1gZx9ogEcbYOVsSVo6srHcQlpuaQNLpUVK0iDkgHcebGYaZLl+Q/ux34wR8s+OX27gWicGPGsT39OlZohoo4c+AjI6ngvK6COF2Xcu0vf1m6XH31q8CNN254WjMsLteHJYhzT1sbxDkCfE+0Sswn513j07mDON+K/DK7dnABIdUOgzjaUuQDx3HUcTr3g2fOpHuTJxISPF2+DLzwgiRmX/kK8Au/kL8foN0OnDix5Ris/OA2g7hSVw8XxayI2+SoeHYW+JEfkYKgH/xB4M/+rCE739XEAw/I5Re/uPk2Bg0TxO3ahXt+8wj+1+qPp+7qwDK+OXMY9/zmkdSKuGZhyR5xs7PA/DySUPAG9hb+b+x0Ap+UVk//Sf0cAsm5Da3X7Ijj9yO/KTc+8pGNy4YbiLkJtBqxpiLOsRoEANi6/Ja8HtWOe7gXkw45E3f5qy8V/fWxGOCFBHGuQGWCOM0hFXF6uPQgbrP9gcyKuDn0VHQfoZMngWdG5Bv0hK/CnwziVRzE2i99tHLftBzGD6MfUznPiV26lFERxyCuNoyToX4ESzqmDYWaqCIOkI2W/X5sXz6PYziJr34VuPLtV3E9XkUMDnxN/5FajzCvgQHgOE4gDln8mO4DIuKw4zhONOReZ9XQLBUX623fDiShYrnHWGlWTntKTUt9/QurufeIc7mAZZvMWyMWB3GOqNGGrZMnncvhdgMhpxHETc9BmwsCqGJFHJC/Is6shrv99qIqH/cZRZ9vJIzf81yrf0phBHFj2NG402hz4PUaxH3uc8AXviDXv/hFOVnXpFx7dwAAOoLWBHEezQji/KyIs0qiU9r2JudynxzsiEhFXNseVsRR7TCIoy39678C0di6O3MFa6oqB2W7dkn7trvukpKl//E/ZB+4XE6fln3iqkgJVCmIi0SAsLTrylcRF43KBPHyZQmJzIVEVJijR+VXLRyWvfXyaYQgTtOAX+tKn4AxZZ6A+XDXiaZqU2lJRZyxsncUO9HW6y2u281P/iT0Q4fQpi3jY/jDDQ9/CH+O/biAOVsvtN/4rdLGVydsxibQatSaijhXJCiv1+O35PWotqYGpD1l6LvF7xO3tgZ4IJ91Ln9lWlMmneUHcfn2EbJBQxdksuYa7KnYPkLffGQU/+8HzkCLZW/k9cf4CP7sF8/hm4/UYcXzJhVxkQgwNxFFF4wDKbamrA3jmLaUIE7TpANY01TEAUBHB157p6zS+jg+BUBPVcP9I34I7/t/OnHyZA3Ht4mjR4HvDh3H7ci9+PF2nMap4eMNuddZtTRDxcV6g1JEjakOM6koI4gbG5M3b6cTz87sArAxiAOANbe8r0SnrJ0ou+Ky6M7uZxBXrninBHGYm0NyIQgAiLj8cDiqNICtgrgi2lICcvrIbgfe1DP2iStXIgF9fBxAc7SmxOXLNQvipozmBxsO9U6cAH7LmCP/yZ8AP/7jaGZt10tFXO+aRUGcLkGcM8AgzjLGeVdlcWMQF4kAvUlJlf37GcRR7TCIoy098QQQzdirAH/0R8Dhw3KCZpOWkjmZAV6+CrlqqFYQZ764zZZzRZiuA7/4i+lW2t/4hnT5pMIpSroq7gtfAOLxjc/R9fSxfD0HcadOAV9YOI7b8pyAuQ2n8acLx5tqbxBLKuKy9ocr8mttNpz7oARwv4ovYBhjqYfasYzfw+8BAH43+Xs49VJjVwqo7VKp5IhZUxHniQYBAC5jfyJqbPEbJYhzvVJ8EBde0+EzKuIcnZWpiDODuNTilhJk7iOUyY8gVCQBAB//466KnLjVNNlv93kcwW/j06n7dQB/gQ/heRzBe35pV/0ttMioiFsfxI2OpqvhdIdj08p/qiDjZGgpx7QrxnZNzVQRp2nAj3/vwwihDTfh+/h1/DF+E58BADwOaUv54IPlb7NVCevfozRjmq5lTNcbda8zKp3ZbnPMuVeuXLhQ+osZ+8Ppe/fi6qT8IuVq9hAx9thJzGzSbqQE7ri86dgD3COuXFpAgjjbwhx0IwzT2v3VG0CuIC6ZBL7zHbn+Qz9U1MvZ7cCePcAlWBjETUxA0TTE4MC8vX9D69qGYSaI4+PY0S+r42tVEdffD9l49Z57pI3Tz/6sPPDRj8qHa5PrOSxBXCC5gOTySnkvpuvwGkGcu5tBnFVsPfL55Vie3/DY9HgCPcZ2BB3XcgEh1Q6DONrSd74DDEFWE+Gaa+SD9vRp6f9RaKu2vj755D58GHjkkdKDPCtUK4jLbEuZI3j83OeA//W/ZEL9d38HHDhQwbE0sZ/8SaC3Vw5Iv/KVjY9PTwOrq/JPUM8tKdbv+ZHrBEyu5zWyrIo4C4K4a68t/stfGXoXnsRdcCGG38cnUvf/Fj6DPsziPPbjz/Ghhv+5m5tAO+Jrkk6XyRcPAgDc/f6yX4tqr+MuCeK2T50t+tcjEkxXqZl7EVpNN4O4Mjd2PXYM+NKXsu8z94eLezvw/p+oTEn6qVPZLedM61vO1d1CCyOIG8DkhnNily+ngzhl2zb21K6VMlpTmh+7zVQRd+oU8PJEF/4MvwIA+F38F7RjFRoU/D3eC12XLbbq7m/NcOwY8KlH+zBj68cZHMb9eARncBgztn586tG+hm+zSMUzw4PXk0YQV05FnHHMHN55AJom4UeursLxdpkrJ+etnSi7NTlx7exiRVy5bL2yetcRWoC6ZJxzqOa+zebnRWYQ98ILcv6jvR249daiX3LvXouDOGNv9SsYxvBOW+MuYti2TfqRJpPY55UErqatKf/6r6X376//umxN85M/CXz2s9UdUI0M7O/AIvwAgMWXxjZ/8haSkRjskFVBnh4GcVZx9ksQ51zduJBk/nXZikCDDUoPKyCodhjE0aaWl6Wr5O14Ru648065VBRpIl+ooSEJ7k6fBu6/v/ggz0rVrojLsUr87/8e+E//Sa4/9BDwzndWcBxNzu2WykIgd7WD2ZZyeLi+236ae37MoA+TyD4BM4l+zKAv63nNIKsirtTWlK+9Jhc4WFLF48CgkmpL+dP4a/wY/je+h7fho/gjABLIJeBo+J+70y8BiQ162WGGrgPtWhAA4B30lzkyqgc73y9B3D7tVUxeLK59aWQxo0rNU5nWlLpbgjglWt7vLgC89a1y6XAAf/M3wJf+VCZljv6esl87n8lJ4DFsXvH8GI7XX+BvnKHtxxTGxuR8i+nSJbk/83lUAxlB3PoOYVtZXgYciMED4++qCSriJieBHRjFP+EdCMMFvxEyJuDALozgFpzBDozW399ahvd8aAjdoRGsPXEadz12P9aeOI3u0Aje86HG3aeWSme2pvx+2IIgzqiIW+jZn3rtXOFEssOYuwatmygnk4AvKem/u4dBXLnUPjmJbEtqcKwEAQBKwF+9AeSqiDPbUt59N0rpkbl3L3AZRvWXFUGcsT/cKHY2bltKQM677ZRKrF26tCeodhCnXh3FLTiDa5bOyiacgLQiOnIE+PCHZYVLC3A4gAm7/FssvFBee8q1mXRFHYM467gHJYjzhjcGcUsXJFFesvewvQDVlH3rp1Ar++53pX3LPd5ngDXIxrulygzuig3yrJQRxI1UoSJOD3Thn5+SkwMDA7JI7PhxOZn9y78M/OqvVnAMLeKXfgn49KdlP8Pnn5djQlMj7A8HpPcvGh8fwi59BDE4ASh4FL8AJ2KIKy4MD6Gp9gaxuiLuaAn/xkePAuNDt+Pk1ffjGL6CP8THcA1kkvPPeDu+jh/F8HDj/9yzes+vrpYVmEQi6VZmbUP+MkdG9cCzZwBz9m3oSUzj4le+j8H/WPhnfXRRgrsYHHDaK3RY6ZbfVyuCOPNcwY4dwL/7dwC+JkEceioXxK0P8jXYoCKZusz3vJozBjSoTELT5MRPxlYlqYo47g9XQ2VUxC0vZ1TDAU0RxA0MAKPYteF+J2I4i8Op208NlF8ZXkmq14W77jZvKQBqNGeimjMr4k4vGnvEXbokJ8BL2QzMCOIm2iWIy7U/HADofpkrq0vWTZTX1oA2yIlnVy9bU5ars8+FZbSjA+n5k72a+zbnCuL+8R/lssj94Uz79gF/a1bEXbkCxGLlraI1griG3h/OtHs38Prr6I+MAJD17E8+Cbz97dXJE564tEuu3L/ugeefTy/Ut6DjSiOYa9sJBF/C2mvlBXGR+VW0QbYAcrfxtLxVfMMSxLXFNwZxq5dnAAAhTx+6qjoqomysiKNNfec7gIIkjiSMirhygrh6UeWKuH/+fgB33y0n/O6+G7jtNjkPfu+9Ug1H5RsYAH7iJ+T6+qq4RgniMvcGiSsupJuWKcbt5tsbpL29zIq4cFhmIihxjzjIz/PR3xnFY/h30KCkQjgA+Av8PG7BWfyP3x5t+J+7t11FxDyRt1ZcxdN6wekovJAqKN92f5kjo7qgKBjfJlVxy08Vt09cLCi/TxFbZdpSApDSZwBKzLogLnUCcs4I4iq4Sau50GI2T8XzLPrqM/A3Kt22K1I+lLlA/fJlVsTVBeOY1oMIQrPF/X2EQhn7w/l8TXGAcfQo8Gtdm7eB/XDXifr7WyPKwwziXgkOQvd4ZIWscexbNGPx2pt22Q8hXxBn65b3FceKdRPllZV0EOfuZkVcubq7gTmkFxDF4IC3uzJdCXJaH8SFw7LxPVByELd3LzCNbQgrHimhHCuv9Z/ZmrIpgjhjFdSXPjMCAIhGZZu2XbuAkycr+62j0dzt1VPsduDEicoOoo6sdEtFXOJieUFcdEH2h1tBW65dbKhEHbskYuvUFjZkw7ErsoBwrYMLCKm2+CdPm3riCWAfLsAXC0oFxY031npI5atSEPf9p2QVxkQ0e72FuUH8T/1UaYsZKbcHHpDL//2/s/dRa5QgDpC9QR5/HBs2kx4akvubbW+QrNaUKysy6SrGG28Auo4FBDCL3pL/jd/zS7vwOH4MKtJHazqAL+Kn8TyO4D2/tKu0F64jPh+wBiMoWV0t67VCV+XEbRIKlM7Gr6AgEbtegjjHueKCuPiyhLIxW+VOACkeCeLUWHiLZ25tQxA3b2zmXcGKOHOhxbgyhN0YwW04jUdxP27DaezGCMaVofpcaGFUxAWS83AghsvpdQoM4upFezt0Y3+++GywqC/Nqohrgv3hAPkbuvvPj+P2PG1gb8dp3PXnx+vvb40oD79f1qLosCG2w9gMuZT2lMvLqQnSuZhUxOXbIcLeK3Nl15qFQVxITwVxSjuDuHJ1dWUHcUH44Q9Uca/W9UHcv/yLJDbbt5e88f2+fQCg4JJu0T5xGa0p63mf+EK8vLILANATupx1//g4cN99lQ3jpqelvfrb7Lk/V3H6tLR7ahHxgR0ApF1nOSLzMh8P29iW0kqde2RhZSeWsTQXz3pMm5KKuESgr+rjIsrEII7ympkBvv/9jP3hjhxpjuSoCkGcpgFPfFlefBEb94hTFODjH0+HclS+I0ekM0I8Dvz3/56+v5GCOEDCNrPdxGOPyeXly80XwgHrWlMCEsYVw1jZ+xoOwudT0FfqMdWJE7KaL0NqKtskq/x8PmAVxoF+mUHc6ngQALBi6wCX8DWPth+UIG5gqsggbkkq4qL2ylXEpYO48ivizH01Uicg5yrfmhJIL7ToHcqueO4bdtXvQouurtR74zZMbwji2JqyDthsiHskRNPmg0V96fJyRkVcE7SlNB07Bnzuc3JdM6a65uXnPlenf2tEeShKeoFeqN9oT3nhQvEvZLSlRH8/3piR94x8FXGObcYeO5GNrb1KtboQhQPGRqNtDOLKtb4iLgh/rm3pK2d9EJfZllIpLRAcGpLQ+SKsDeIavSJO04A/+wf5H9iFkazHzIqfBx+s3HmlaeNQr3t9L78WnQPadklFnHe2vCAuHpT5eIRBnKXc/f7U9YVLwazH1Fn5ZdZ7GcRRbbXmuycV5Mkn5fLfdBlB3B131G4wVqpCEHfqFGAPyeRlIUcHYl2XVfmnTlXm+7cqsyrukUdkHyug8YI4QFZ033UX8MEPymWzrtzu6AAicCMB43+w2H3iXnsNQLotZYnzPlnFd7q5V/m1tWVUxJXZmjI8GQQArNj95Q2K6srO98v+SfvjL2NqNFrw12khY4+4CgZxNq8RxMUr2JqywkEc0IALLWy2VLVbP6ZS58SCQem+zYq4+pBo9wMA9MVgUV8XCjVfRZzpnp/sg76tH6v7D+PZn3sEq/sPQ9/Wj3t+kidfqPGYQdyMf69cKaUizgzi9u9PLUjJF8R5BmWu7NZWZYWjBSJzGYvtGMSVrasLmEe6pXYQ/lQ2VhXmN1syFnP80z/J5Q/9UMkvabPJfP2SFUGcrkM3WlOOYmdDB3GnTgFnFnYB2BjEAZU/r2QGccq2vvRJiQ9/GDh8WI7/Sl4J25jc+yWI8y9bFMTZGcRZSlWxZPMDAJYvz2c95AxKRZy6nQsIqbYYxFFeTzwhl3eqTbQ/HEYe9rMAAJCMSURBVJAK4nxYQ2g+VpFvMTkpQR+QuyIu83lknfe/39iHZxb40pfkJNPsrDzWSEFcq5AF+Eq6Kq7YfeKMirhS94fLyVzd12Sr/KysiItOBwEAa05/eYOiuuI9sANBtQtOxPHm379S8NdpK9IuMm6vXGtKM4izJyoQxJmtKSu4R1ymhltoYbSnHMBkqiLOvBxUWRFXD/RO4zjTrEwoULNWxAEAhoagjI6g47XTeOtf3I+O105DGR3J34uPqI4NDsrlFVcZQZxxzIwDBzZ+Dq7jG8wI5i1atWoGcWHF0wAffPWvriri5uaAF16Q2+94R1kvu2+fRUFcMAjF6LQy7xlu6KxochIYwS4AwCAm4ETuxXKVOq9kBnH2zPDiN35DFquOjLTc56r/JgniemITZS1USATl9zPKIM5yIYcUQqxeya7q9q5KEOcebuA3BGoKzXWmkSz1ne8AbQhhcP6c3HHbbbUdkFU6O1P7aSTnK1MSNzAAdCF/RVzm88g6DgfwK78i1x9+OF0N19PTfOeYmoG5IDa1T1yxFXEZQdy115Y5mL4+WdV3+LCUVDbZKr+sIK7MirjEXBAAEHH7yxsU1RdFwdVeaU+5+ETh7SnNiriEo3IVcWqbhHxWBHG1ak3ZsDIq4tYHcf06K+LqQsAPALCHijumbcY94rK4XOlSeUWR20QNyKyIe0MxWlOWURGnXbs/dcI+XxAX6FERhPGeYFEQF5uXY/yIndVwVsi5R5y/igPIDOKeeELKsm64oezjgb17LQrijGq4GfSif7en9K4pdWBgAJhFL1bhhQ06dmAs7/MqwQzibvBclP6XPp8cRLfo5+q2G/sQhhs26EiOXS35dRLLsjA27mAQZ7U1l5x/DY+ngzhdBzoj8svcdg0XEFJtMYijnEZHJcS4zfY8lGQS2LEjvRyv0dls0NqMycWCdb3vMx09CmxzysQlVxCnKDL5OXq0It++pX3oQ4DHA7z4IvCpT8l9vb3cj68eqaqEcSVVxCWTqZMKllTEDQ3Jqr7Tp4H772+6VX4+X0ZryjIr4hLGPkQxr7+8QVHdCR+UIM7+UuFBnL5qBHHOCgZxPqMiTisviItGZf9boDatKRtSRkXc9LTk+JcvAx6swZc0Fk8wiKsptdsPAHCGg0Ud64RCTVwRR9REzCDu5ahRETc6mu7BXyhj8dpczwHouixe7O3N/dRAIKOji0VBXHxRqj8i9nZLXq/V1U1FXDwOfO1rcr2MtpSmrIq4zI1pi2XsD9fobSkBOV80NKSkquLWt6es9HmlKWPN1UHIlhA4cKCM/SAa3+B2BWPYAQAIvlR6e8qkGcQ5GcRZLeKT86+xqfS53mAQ6NVlEujf1xwLralxMYijnMy2lB8YarK2lAbdL0eq6nJlKuJUFdjbLW/8wXWtKc3jloceYmeOSujuBn7gB+T6l78sl6+9BuzaBZw8WbNhUR4dHSVWxI2NAeEwYooTl7HbmtaUTbx6PrMiLhkqL4gz9yFKtPnLHBXVm7a3SxC3baLwIC65Kq0pNVflWlPa2ySIc2rhsl7HrIbzeGQ1OYB0EFel1pQNxwjZdjqlhOLyZflvG4wl0m430M4Tq7Xk6PUDAPwIFrWepekr4oiahLkW9tW5Pnm/1fXiqoU0LVVFN+bdD0DWmeXrwp4ZxFnVPSbVhs3Jijgr1LwizudLn8gwg7h77y37ZffuTbdhTG1IWwojiBvDjoYP4lRVOv3kCuKqcV7JrIi7JpYRxLUwhwOYdkoQt3Su9CBOXzGCOBffE60W75A5nTabDuKmJvXU3MW1gxVxVFsM4iin73xHLu9yGUHcHXfUbjAVYOuSyYU3tlj0gsJCtcflwFEPZFfEDQ0Bjz8OHDtWme/b6k6eTO8XnWl8HLjvPoZx9aa9PaMirpggzljZ+wb2QoOdewBuIbMiLrZUXmtKxdiHKNnhL3NUVG+G3ytB3MHYS5idTBT2RUar06S7chVxqSAuWd4HthnEDQ8bJy80LX2ShxVxuRkVcbvdsiT68mU5/9uPjLaULbwyuh6oXX4AEsQVc86yqfeII2oiZkXcxKQiSQVQXHvK0VEpCXe5cCkh+xvla0sJSBBndnTJbO1VDm1Jgrg4gzhL2O1AxJteQFT1ijhFSS/gCIUknXj728t+2X37gDC8mIDRZ7HU9pRGa8pR7MSuXWUPq+aOHQMOvHsXAGA30pWC1TivZAZxA8vGPpMHD1bumzWIxU55H42cLz+I09ysiLOa7jfOv2Z0P5u9uAwXYnIjXzk4UZUwiKMNdN2siNNxzezTcmeTVcTZeuRINYBFqzpuZEsmU2/8H/2UfK8DB4Ann5STWAzhKkPTgAcekN/h9cz7HnyQbSrrSVZFXDFL+Y0g7jX9AOz2zU8okFQArRkVcfFgeRVxaigIAFCquvSWqqHtpmuwYmuHBxFc+Nr5gr5GCVc+iHO0SxDn0iNlvX9fuSKXqY6zwaB8XgOsiMvHqIjbruapiNvGVaU1Z5x9LTaIC4VYEUfUCMwgbnwc0PcZ+8RduFD4Cxit3LF3L8bGpWxms+NmlwtYtsn7SnjCmolyckkW2yXcDOKsogXSC4g6sFTdijgAWd/wjjvSm3+XYds2eZnLMMrYSg3imqgiznTNO+R/5GfuGkndd/Zs5c8rmUFc94xREccgDms9EsTpI6UHcViT+XjSwyDOakq3BHFqcD513/Ib8ou8prYB3srNWYkKwSCONjh/HpicBA44L8MZnAWcTuDmm2s9LEspgQoHcaFQ6uTeRFi+1w03AHfdxXaUlXTqVLriIRddlxOxp05Vb0y0uY6O8irizuMAdu2SlaGUn6IAMWMz6ESZFXGO1SAAwGZUYVATsdlwpVs+7+f/qcD2lBGjXaS7cq0pzSDOjUhZVexmELdhf7jOTlnNTRsZFXG9CamAu3hRts/Mqoij2jJOhhZ7TMuKOKLGYLwNIxIBIkMlVMSZQdz+/Rs/B/NYc8v8NTpt0UR5RSriEh62MraK3p0O4m7GS1bkYMXJPG6yoC0lIPOVvXsz9okrsyKumYI4s7RvMDqSWjs2OVn5bytBnA7fFWOBXou3pgSA5LAEcY7J0oM4G4O4irH3SRDnXElXxK1elv3hlj1cQEi1xyCONjDbUv7UXqMt5c03N9VeSQBSq4crFsSZL+p2Y2JRTk5y0XjlFXowWo2DVipMyRVxr8mqvNdwkG0pCxR3yuovbbm8ijhXOAgAULv9ZY6I6tHqAWlPaXuxsCBOjRjBbgVXFzo65HO03CAuszUlAO4PVwjjDHBHeAqAjmeekZPB/Qor4uqGEcT5EYTRObgg3COOqDG43emPqfmuEoK48+kT6Bsqw/OIeWWunJi1NohLelkRV7bRUeDMGexzj6Xuul15Ro7bzpxJhVAVt5oxn/ihH7LsZfftKz+IS47Kz2YUO5suiMPly6njWPPvuVKiUTmttR3jUNdWZEX5tddW9ps2AHWPBHFtC2NbPHOT1wjLeyJ8DOKs5hqQIM69lg7iolcliAu399VkTESZWENAG0hbSuCdHc25PxyAygdxZj/iri7MyHs++vieX3HmilGrnkeVlxXElVgRdwfnAwVJOH3AKqCFygviPLEgAMDZ5y9/UFR3vG+7BTgF9F0pLIhTokZFXAWDOHOPOKsq4lInIOeNliXcHy4/I2hTEzEEsIjnnpPJ7bW+KWAFrIirBxlB3GiRrSlZEUfUGLZvl4+sq959GAJKa025fz+u/F+5ulVFXLwtAMwByXlrJsq2VTnG130M4spmBDJ/CkAHoADo0JeAw4fTz8m1T4MVRkdlEZOiALOzcp+iADabhIA9PcDOnWV9i7Ir4qJR2KZk1e1Sx47qt+ysFDNRnJrCNbeE8eKLnooHceZ5rBvV1wANEsI5nZX9pg3Ad538jnetjEkXLFvx9S22iDEfZxBnOe+QzFV80XQQp0/KAsJ4FxcQUu2xIo6yaJrsYwYAB5aMIK7J9ocDUL2KuEAg1Vebi8Yr7+hROcGqKLkfVxSZeB49Wt1xUX5ZrSkLrYhbWEjNDF7HflbEFcjcw0tfKa81pc8I4tz9/jJHRPVo6EelIu5g9AXMzya3fL49Jr9PNl/lWlPCLUGcB+HKtKZkEJefywV0yYR2AJOpLfV2utmasm6UuEccK+KIGsfgoFy+qRgVcRMT2RVJm8moiNtQGZ6H1iHvK4pFE+VU9Uc7W1OW7cSJVE9+c8qbmvra7fJ4pezaBRw5IqFfNCr36Tpw221yv1m1VYayK+KMX/I1eNCxp4mO77q6Uvvw3dAhlViVDuLM81hH2tiWMlP3W7ZDgw0uPZpOK4tkj8r7t9LOxQlWa9sp85YObSG1t7gya/w79bI6gmqPQRxlefFFIBgE+trD8F14Qe5kEFc8VsTVhKoCDz8s19eHcebthx7iPn31pKSKOGNl75RjCKtoYxBXoFQP+kJP3OTRrgUBAN5Bf3kDorrUcet+hBUP2rGC1//Pm1s+PxXEtVVw42u3NRVxeVtTMojbnBG2DSDd13mArSnrRwl7xMXj0mKUFXFEjWH7drkcWe5KLY7Am1t/RmNpCZiShRPRXftTJ9a3CuL0gHwPdWlh8ycWyB6RII4nnS1w/Dhw+nTux06flscrJSME3MCiEDCrIm50FEgkinuBMQmpxrADu/fkWZ3biBQlFXQedF8GkD6urRTz/eItDtkSAgcPVvYbNoih3Q5MQFZHJC+X1grWEZP5uNrBijirdeySXs5dWEgdF7uC8susDnLeQrXHII6ymPvD/cxbzkJJJOTky44dtR1UJWQEccXsp1EwVsTVzLFjwOOPpyespqEhuf/YsdqMi3Jrby+hIs5Y2ftqUiYDDOIKo3vLD+LkxG0QANA25C9/UFR/7HZc6boJADD37a3bU9rj0pqy3oO4cDidu21oTck94jZn9HM+0DmVuqszzIq4upHRmnJxobB2ZLLuRWdFHFGDMOc14+OQkiGgsPaUZlvKgQGMh+R4O3PPuXxs3TJXdqxYs2LVHpUgztbJIM5KmnE6L1mt03pVCAH37gUmMYAIXNKuqdiyL2OPvDHssKJAr74Y7Sl3YQRA9Sri9iWNII4VcQDksHgU0p5y+VxpQZzTCOJsDOIsZ++ThSQBBDE7KUG+d0WqI9w7WB1BtWfZJ/YnP/lJ7N+/P/XfDxkbtl64cAEf+MAHcOutt+Izn/kM9Ix+1Zs9RrVhBnH/piejLWW+Pn+NjBVxTe3YMWBkRNqsPvaYXF6+zBCuHpVUEfeaTAZe1mQysGdPJUbWhIw9vJRI6a0pl2ai8EKCFwZxzWtlr7SnxNmtgzhnQn6f7O2Vb01ph4bISpErow3mqmGfD+n9QlgRVxgjbGtfMSvidHhX5OzMt17kKqOaM36hHUggPF/Y+/vyMuDFGuwwevawIo6orpmtKcfHIUkFALzxxtZfmLk/XMY+qVtN7+29Mld2ha2ZKLuicoxvZxBnjb4+hDv7cQaHcT8ewWjPYfmsruYJB3NfrBL2x9pMdzcQ6LLhMow90YptT2lUxI1iZ2pbtaZhJIsD0REA1QvidoaN1pSsiAMAOBzAjEeCuNArJQZxCQni7AzirGec6wWA4EgQ8Tjgj8kvc9senpSl2rPsU/OVV17Bo48+iueeew7PPfccvvKVryAWi+EXf/EXcf311+PLX/4yLl68iJMnTwLApo9RbcRiwKlTcv2mNSOIu+OO2g2okrrMVRKV3SMu3hZIFZ+wIq66VBW46y7ggx+US7ajrE8l7RFnVMSdxwEMDgKeCp7/byptcqCvhkuviAtdXUpdt3Vyn49m5b5TgrjusSKCuI4KVsRl/JHHQ6WVxGXuD5c6AckgriAXQlIR16NJFVwbVuCD/Lvf9yvbwMP3GvP5kLTJQU58NljQl2TtD2ezSUJNRHXLrIibmEBxQVzG/nAb9kndhHObnMj0RCwK4uJSEWcP8NjREkND+O5fj+A2nMajuB///WdOyyrUVMl/BfX1Seh3+DDwyCNyaXEImNWessQgbgw7mjaI61pKt6asZC3D1JR0QvGbXRBYEZey7JcgLv7mWElf707Ie6LDz+Mvy9ntWFHl/NLK2AJmZ4E+SHVE2zU8KUu1Z0kQl0gkcOHCBRw5cgQdHR3o6OhAW1sbvvvd72JlZQUf+9jHsGPHDnzkIx/B448/DgCbPka18cwz0rqprw/oePVpubMZ94cDqlYRt+KUwM/tTu2tS0QZSqqIywji2JaycGbrQFu09Iq41fEgAGBZ6WC63cQG/60EcQfDZxFc3HyG79KkQtLRUcFE3OVKXY0vh0t6CbMiLusclRnEsTVlXpoGfOmfJYgz94jbBllVGkIbVpU2PPggUpuhUw0oCuJtclybXAgW9CXLy+v2h2vG7hdETSSrNaUZxBXTmnL//o37pG7CMyjvKW5tDYhGixtsDm5NTjo7uzghtkp7jwuAvHcvLCrQ7K7Nv8AqQ0MS+p0+Ddx/v1xaHALu21dGEJfRmrLpgjjjf8g7OwJAzt0tWLONY07T08ABGGH+4CCr5zNE+yWIw1hpFXGepCyMdQYYxFXCqnEedu3qAqam0kGcOsCKOKq9PDutFufChQvQdR3ve9/7MD09jVtvvRWf/OQncf78edx0003wGCuZ9+/fj4sXLwLApo8VS+Psv2DmzyrXz+wf/1EBYMMHbhuD8vVx6KqK5KFDzXl2paMDKgAf1rA8F4WmWfKnkGJbWIACYEGXPTe2bdORTCYt/R5EzcDnS1fE6aEQklu930SjsF26BAUSxL1zTxKalg4KNnuPa3W2Nvm8dURXS/75rFyVPbVW7H74+DNuWu23H0AMDnRhEd/7P5dwxwd35X2uOynBrtruqujfnaY44dRjiC6tQtO6iv760VE5xhkaSr9n2ObnoQDQAoGGOdap9nvcU08B55ekNWU/prIup7ENui7Vhk89peGuu6oyJMpBa/cDy3PA4kJBvxvBYLoiTu/s3Pqzl6iKeCy3kXRWUTE9rSO68xq4AOhvvLHl367t/Hn5nNu7F2P/JwnAhu3bs4+dc3Fva0MSCmzQoc3Nlb0fqFeTxXaOgIf/rhb4yleAX/s1G8wg7i//EvjWt3T8yZ8k8f73V2EAdjuQeW7Dbrf0OOqaa5RUEJe8dAl6Ea+tXx6DHdKacnhYq8vDu5Lf44aHoQJQRkfQ16djZkbByIiWbrlusakpGw5CtoTQDxzgsUKG5PAw8ALgnh4t/t9R11NBnL3TzffECgh7u4DwCMLjc5i4vIZbjD3utZ6ehpnzNbJWPY4r9P/XkvThzTffxN69e/Hxj38cgUAAf/AHf4Df/d3fxbXXXouhjJUxiqLAZrNhaWkJKysreR/rLHLD8HPnzlnxv9FScv3MvvGNfQDa8XbnNwAA4WuvxWuFtLxoRMkkblEUKLqOtfFJvPjivKUvv3dsDB0Azs/IXjY+3xpefPG8pd+DqBlMTnoQglSjKKEQXjx7dtO9BtwXL+J6TcOqvR2TiQF4vRN48cWpDc/j58JGwbisaLbHVvDiiy+W9BpXzsnq6xV7ByZLfA1qDO3t12Ff6CVc+NvvwHPwcN7nDeoSxF2Zn8RcBX8n9tvccGoxjF64VNJn9osv7gDQC4djCi++KJVdN01NwQ7g/NwcIg32+1yt97hnnglgEtkVcWYQN4X+jOeNwu+vRIsBKsRulwteAAjOF/T+fu5cIFURF3Y48FqD/f5Ta+CxXFoyCdjtNyORsOGp8QTeBUCZncX3v/c9JPO1XdE03HzhAhQAr2oaXn55GYAfun4FL744t+n3m1vwIQg/urCI808/jUgZpUWaBmzXpSLuanCKx49leuIJP37zNzdukH31KvBjP2bDZz97CffcE6z+wCzkdAZSQVz45ZdxvtDfGV3HTUaFUsg/gAsXCvy6Gin2PU4NhXAIgDIzg3t3/CMewztx6tRlAEtbfGVpxsauww8bQdxsTw+u8G83JeiX/as7FkeKnlcr0ShugQTZo/Pj0F6csXp4Lc/plM/FxYujuPLdl/BvASQUO14aGUm1r6XK43FcbpYEcT/6oz+KH/3RH03d/s//+T/j3nvvxZ49e+B0OrOe63K5EIlEoKpq3seKDeJuvPFGqGyRVRBN03Du3LkNP7OVFeDll+Xk97s63wQAuO++G4cOHarFMKtCa+uEPRSEOxy2/P/TlpAADl3SR3v3bm9T/yyJStXeDiwjlrp9aO9euTMfoz3JqPsgsKLgB35gAIcOpU8G53uPI+Bf9shJdJcWxqGbbiqpFdmCKoszYt4uvqc1ue/vOwKceQmBkREcOvRzOZ8TjwMRSKvI647cgM5D+yo2nmXVDWjL2NbRjUOHbij66yMROcY5fLgfhw5tAzQNNmNfygM/8AMNs5Frtd/jgkHgBCTEX9+achrpn9ntt+/EoUM7Kz4eyi022A9cegXOtRBuuunQlm/vzz+voAMvAAA827bx/ZzqCo/lchscVDA2BrQPvhX6tm1QpqfxFrcbyPf3e/EibPE4dJcL17373Qh9wgEAuOOOIRw6tHkbQZcLWEQAXVjEgW3b8n+PAiwvAzZIEHfDHTfDdcPekl+r1Wka8L73mQsW17/RK1AUHZ///B488ECyoTvIJ5PA3/62/M54p6cL/4yamYEajyIJBZ69u3DokLVdj6xS8nucrkN3OqHEYvj55F/jMbwTDsceHDpUmY3ilpZsqdaUPT/wA+jmsULKxbvWgL8G2hLLOLR7N1DMOez59ILCm+68BcO7GviPtU693tsPTAJtsQTsMXkfCHn6cOiWW2o8stbQqsdx5v/3ViryydTR0YFkMomenh68sa6ianV1FQ6HA52dnXkfK5aqqi31j2uF9T+zp58GEgnZ/zXw+rMAANuddzb1HkBxfwAIBWFbClr/+2M0656JS6XPtm0Kf0eJcggEgAjcSECFHRrU1VVs2l/D2A/j5YSE3Hv32nK+TfFzYSNXlwScNj0pb/hud9GvkVyQ4CLm9fPn2+RcdxwGzvwlukdeyPtvvbICeCEVcd7u9or+TsTtHiAG6OFYSd/H3Btn507jPWNxMbXDvdrb23DHO9V6j7vrLsA2OABMAH4swY1wVkWcosi2MHfdpTbaj7CpOPqkXWuHvoRwWN10PQsArK6m94hTOjv5fk51icdy2QYHZSH/1JQKZd8+YHoa6sWLwG235f6CN2VxrbJvH1SnE1euyN27dm39ft3TA1yF7BOnBJdhK+PfIbymY5sRxHl6O6Hw37Rkp06lj2dy0XUFV68C//qvakO3iz5wALgMqcJU5uehrqwUFnSMjwMAJjGA4WtcdX9cUvB73Oio7GusKKmWoLfNfAM34yz053WoV3uAndYuhorF5JSW2ZrSdv31DXesXElD+9sxh270YB7q1atAV+Ft87XVCAAgAhfa/U7+WCtA6ZLzsGpwAYlxqQAPt/chwB92VfE4Lrf8/b+K8Id/+If4h3/4h9Ttc+fOwWazYf/+/XjppZdS91+9ehWxWAydnZ248cYb8z5G1fed78jlO++KAc8/Lzduv712A6oCpUsmF57oImKxLZ5cLCOIu7IqH8gNstCeqOrkZKGCEIyzhqHQ5l9wXlblvRCRIO6aayo3tmbj9HvTN9bWSnqN5GIQAJBo85c/IKprA/9GVgweWDuD5aXcK23DoQSciAMAXAFvzudYJWGX4NicvBbLPAE5PGzcYa5G7ewESlgE1ipUFfjk5zsRgQuAtKU0K+JmjIq4hx7iuZlaU7v8AAA/glgsoEPo8nJ6j7iiVnETUc1s3y6XExMA9hpVZZttI/H663K5fz/C4fTHXupzcBOBgFTEAUB4ory2w6tzYahGGzalPU8bTSrI5KS1z6tX7e1AW387ZtArd1y+XNgXjkpbyjHsQBndVOvPrl3AkSPA4cOymBKAJ7aEsziMX/1fR+Rxi83MAC5EsAfSjQYHD1r+PRrZ0JDsQwgAycujRX1tZF72h1uFD97KTp9altor52HtywtITsq8JR7oq+WQiFIsCeIOHjyIhx56CM899xyefvppfPKTn8T73/9+vO1tb0MoFMJXv/pVAMCjjz6KO++8E6qq4tZbb837GFWfGcS9f89LQDQqKzquvba2g6owtUcmFwEsFnTSomDxuJQJABgLyffo43s+UU4ul5wDX0aH3GG0isvLCOJew0H4/UUtPmt53k4HYjACh9XVkl5DCQYBAMl2vzWDoroV+MG3IAEVfZjFq/80kfM54YVw6rri9VR0PJoRxCVXw1s8c6PVVaQ+51PbE88Z++P09FgwuuZ27AMKtD7ZJ64fU6mKuGigH48/Dhw7VsvREQAoAT+Awo9pl5fTFXHo6KjcwIjIMmYQNz6OwoI445gZBw6kqqh8vs0bT5hcLmBZtSaIC8+upG/4fGW9VqsbGLD2efVs716k9okztybYkrH30yh2NlcQd+IEYM9uZmY2Jk0odnncYtPTwLV4U0L0jg6gv3/rL2ohAwPAmBHErbxa3J5jkTl5T1yFr5QGNVQAR7+cJHKtLcA2J3vw6X2sjqD6YEkQ9773vQ/vete78Mu//Mv42Mc+hre97W34+Mc/Drvdjk9+8pP4xCc+gTvvvBPf+ta38NGPfhQANn2Mqmt+HjD3F73T9oxcuf32kvYPaiRKoEJBXMaLXV70A2BFHFE+iiLH9gVVxOl66qTCeRxgNVyR2trkgB9AyUGcGgrKlULO4lBj83gw3i6rX6e/eTbnU6KLGZWVFZ5Jag4jiFsrviLOPAHZ3p5R/MMgrii+a+Ss3p///iTetkeCuD/4q36GcPXCeE/2IwhjvcSmQiFWxBE1msFBuRwfB7DP2JPVaNmeU0ZFnFkVPjRU+BQ/7JK5cmxqofjBZojOGyedFR9gs+T0U8s6enTzf0NFkYrHo0erO65K2Lev9CCu6Srijh8HTp/O+dAHtp+Wxy02PZ1uS4mDB5v+3GCxHA5gzidB3NprxVXExRZlHh5WfPyxVohnUII4b3gBjqAEcfZBVkdQfbBsj7iPfvSjOYO0e++9F9/+9rdx7tw53HLLLejKKF/Y7DGqnqeekvPb110HdLyaEcQ1u0oHcZ2dmJqVCk9WxBHl19EBLM8XUBE3Pg6srECz2XExeQ2OMYgris8HrMGLAIIlt6Z0rAYBAIrRBo2aW/CaW7DzxZehPXcWwI9seDwWlN+jNcULb4VnkppTgjg9XHwQt6EtJZAO4rq7yxxZizBWQt/QMwUkpMWLOsBVRnUjI4hjRRxRc8rbmlLXc58kz6iIu/KKXC2kLaUp4u0C1oDEbHkT5eicLLILq21gPVx5VBV4+GHgvvvkn1zP6Bxu/go0S7voUiri9NFRKJCKuA80UxCXyfiH1yFVcdPT+d8CypEVxB04YO2LN4mV7p3AKpC4WFwQFzWDOJXviJXStsPYO1lbgHdZ5i3uHZy3UH2oypKkbdu24d57780ZtG32GFXHE0/I5TveAeDpp+XGHXfUbDxVU6kgztgfDl1dmJb3fFbEEW2i4Io444TCbMc1SMDBirgi+XzlV8S5wkEAgL3bb82gqK453ir7xPkv5a6Iiy1Jm8ioUtm2lACQLCOIMyviUm0pgfRmOayIK4zZ52pyEpiSiji2KaojxjEt94gjal5ZrSnNg+BgMP15likYRGoium9f7gUpW4i3yftKcr68iXJsQSriInbuD2eFY8eAxx9P/z6YhobQVO2iS6mIS1yUiriryo6iftcbQl+fHHcdOQJ0dkIBMI8uXI33pdaWWWl6GjgAI8zn/nA5JQZ3AADs48UFcYmgzMMjKt8TK8U7LAstu7CA7qRUxLXtYXUE1Qf2BqDU/nA/fHhaNsJVFODWW2s7qGqocEWc7g+k5kWsiCPKr6OjwD3ijCDukkNW5TX5NpaWMyviAJRcEeeOBgEAzj6/NYOiurbthw8DAPaunM2Z3caX5PcoolZ+p/Gk0wj7IhZXxDGIK4wZur32GhCLyXWuMqofRkVcoce0oRAr4ogaTVZrSq83vbokV3tKsy3l4CDQ0ZFakFJMOKF1ylxZCZY3UU4EJYiLOtrLeh1KO3YMGBkBnnwSeOwxubx8uXlCOCC7Ik4vuDWlBCKRvh1wOis1shoZGpJ/9NOngbvuAgD8t7bfwjiGUse5VpqaWteakjaw7ZbWlN65IoO4JZlURR2siKsUW48U+nRjHttgVMTt5LyF6gODuBY3Pi7H6TYb8AMOo+/0dde1xurYClfExdrkzd9mY+cros0UXBH3mkwGvh+XyQAr4opjRUWcNy4nbt39fotGRfWs+56bkISCYVzFK0/ObHjcDOJiVQjidJexB53VQRw/oAtjVsSZmwp3dlZ8X0AqQpF7xLEijqjxmBVQoZBxuGzuE/fGGxufnLE/HJDnc3Arfpkr25bLmyhrSxLExVys/rCSqkoe88EPymUztKPMdM01GRVxIyOApm3+BWtrcATl2M5+zc7KDq5WXC5ZNP/WtwIAbnNKx4pKBHEzU0nsh/E+wtaUOXkOyO9Zx+pUUfMTM4iLMYirHKPjnh9BDGBS7mN1BNUJBnEtzmxLefgw0PZyC+0PB1S8Ii7sltfv6Wm+A2MiK2VVxBXQmvL0kkwGGMQVp60tHcRpy6UFce1aEADgHfRbNCqqa+3tmPDJib7Jf3hhw8PairSmjNsr35pSN0IfWzRc9NeyNaUFzIq4ixflktVw9YV7xBE1vba29J/rhn3i1svYHw5In6jP+hzcgq1b5rKOlfImysklObZPMIijIng8gDq8HTE4oMTjRinoJoxf8mW0o/faJl9gYnSvekv0OQCVCeL00TF4EYZmdwJ79lj/DZpAz/5urJrdZor4R0iGZHFCwskgrmKMc7026NgGYzEpgziqEwziWpzZlvKeewA8YwRxrbA/HFDxiriQQ1Zh8FwV0eba2zMq4gpoTfmqfgAuV7pFDxUmszVlLFh8a8pYDOjUgwCAtiG/hSOjera4W/aJi53euE+cFjIq4hyVr4gzq6+UKFtT1oRZEWfi/nD1xTim7cQSggvJLZ8eCrEijqgRZbWnNIO4zVpTllERZ++V9xX32kIJI01LLhsnnT1sTUnFuWafihHskhuXL2/+5FFpDziKndi9R6nswGrtyBEAQP/qJXRhPrXgzEod49KJJjy0F7Dbrf8GTWBoWMEojOrLsbGCv04PyYLYuItBXMU4nQiv35eUQRzVCQZxLUzX00HcvXclgGeflRusiCuP8WJLNnl9vt8Tba6girjlZWP5L3AeB7Bnj7R9pcK5XMCaUREXWyy+Im5pNgYfJHhhENc6bLdKENf5Zv4gLlGFIE4xK+JiDOJqgkFcfTMq4lQkEZ5d2fSpus6KOKJGZbannJjA5q0pMyriVlaQallbTBDn7JdFpd5IeRNlZVXekzQPK+KoOPv2ZbSn3GqfOCMIGcMO7N5d4YHVWiCQCuJvxXMVqYjrnZf3EG0v21LmMzyMVBCXvFzEPnHGFhFJN4O4Slpzd6Wvu/xovo0jqVHxNGYLe/NNadfkdAJv878iHwgdHa2zGWuFK+LmdVbEERUia4+4fBVxxgmF1c4BLKOTbSlLoCjpyqX4cvEVcaGrS6nraoAnbltF37sliLtm+SzC67pC6mtyh+asfGtKxVNaEBcKAUvGr25WSy7uEVecvj55EzHx4Ka+uN3QHC4AQHJ+84PaSARIJjS0wwjsWBFH1DDMIC6rIu6NNyRhN2maTPQBYP/+VLVMR0dxubtnUObKzmSkpP1ZTcqKLLLTfQziqDh79wKXYaRqWwVxRkVcSwRxQKo9ZSWCuHgc2LEmFXH2G1vk3GAJBgaAMSOIW3ut+CCOixMqK+pLz/HW2jlvofrBIK6FmdVwd9wBeF4y2lK+9a2tU2ZiBHFtWMXyfNy61zVSvVlNgjhWxBFtLiuIy1cRZwRxkx3cH64ccWNTaG2p+Iq4latBAMCy0sGNL1tIz703AwCuwSW8fCr7BL++KoGu5qpCRZxXwj41XtzJQPMEZGentMEFICcpzRU4rIgrjN0O9Pamb7Miru4k2vwAAH0xuOnzQiGgHRmftayII2oYWa0pzfYQq6vA1FT6SSMj0k/c7QZ27CipLSUAtA20QzNPF5WxatUWNkL/Np50puLs3Vt4RVxyVCriRrGz5YI4q1tTzswAByFBnOcQK+LysduBxY4dAIDI64UHcUrYqIjzsiKukuId6Yq4ZXcfNK2GgyHK0CKJC+XyxBNy+Y53IL0/XKu0pQSyVgBvtXq4KEZF3GREgj4uGifaXFZryi0q4t6wM4grh9mLXgsVH8RFpoIAgBW738IRUb1TugKY9MgZjfF/eDH7wTUJ4pLuygdxNq9UxKmJ4oK4nCcgFxfT1QNdXRu+hvLIDN94cFN39E4/AEBZCm76vOXljP3hXC75j4gaQlZrSqcT2LVL7sjcJ85sS7lvH2CzpT4Hs6rCCxDotiEIv9woI4hTzSCunXvEUXEyW1PqWwRxsTckiJtQd2zopt2UjCDurXgWV6/oSG69PWzBpqeBA5D3Edv1rIjbTLhXKuL00cKDONUI4uBjEFcpJ08CL4ym53hnrm7Drl1yP1GtMYhrUcnkuiDu6aflxh131GxMVaeqSLRJGKcvWBjEGROVq2usiCMqRDEVcS9FJIi79tpqjKz5JI3KpWSo+NaUZhC35vRbOCJqBAs7pT1l9F/X7RNn9KpMuivfmlL1SRDnSIS3eGa2TfeH8/sBh6P8wbWKzDNbrIirP0anB9tycNOncX84osaV1ZoSyG5PaXr9dbncvx9Ans/BAgQCwCLkfaWcIM4RlSDO1sGKOCrO7t3AqE2CuOSbmwdxZhAS7d/ZGo07br4ZuqqiH9PYlriKmRnrXnrhwhx6YRwrG+8jlFtyWII452ThQZwtIkGcwiCuIk6eBO67D5iKpYO4GfRhfFzuZxhHtcYgrkV9//vA/Lx0iLj1moX0Afttt9V2YFWm+2VyoS5bXxE3usyKOKJCFFMR968LrIgrh2ZsCq2vFF8RF58NAgAiLr+FI6KGcIsEce1vZgdxSkQCXd1T+Yo4M4izF1kRZ7brybk/XCQCPP+8BaNrEZnhm3GsQ/VD7fYDANoSixv2c8wUCmVUxHF/OKKGktWaEsgdxJkVcQfkmNn8HCwliFuAnMhMzpX+nu+MyiI71c8gjorjcADaTgni1LkZYGUl9xM1Dc4Z+UW379lRreHVltcL5YYbAFjfnjL2fXkPmXbvYNXWFuzXSBDXtngFhfY+NBcnKG382VpN04AHHpDGJ+bnFyBBnNkM5cEHC/6nIqoIBnEt6sknFQDA298OOF54Vu7cuxfo7t7kq5qPYqwedoUXEbdimzhdT52cuhRkRRxRIbasiIvHUycYXogehM2W7sRDxUkFJmvFV8Ql5oMAgJjXb92AqCH0vkuCuN2LZxHJyMFsETnbr3grH8TZ24yKOM2C1pTz83IZiQBf/KIFo2sRmRVxTz1Vs2FQbnYjiPMjiGAw//NYEUfUuMyKuMlJ6XCTCuIyW1NWoCIuPFH6olVXTE46OwJsTUnFGzjQiXnzhPrly7mfNDUFVYsjARUd+1uhL6UhY5848+/cCrbXZX+46S62pdxKx4FBxGGHmkxk79W5CUdMFsTa2hnEWe3UqfTik8wgbhpSHaHr8pl46lQtRkckGMS1qCeekCDunnvQmvvDGdQemVwEsLjpSYuCra3BTPTenGdFHFEh2tszKuJCIWxocn/pEpBIQPP4MI7tGB6WbTGoeLqxKbSyVnxFnL4QBADE2/wWjogaQe87bwYA7MfrePXZ9GpkNWoEut7Kt6Y0gzhnOUHc6Chw5oz8Z/rSl4CzZ+W+IvZ3aCnmzy2RSN/39a/z51ZnlIAfgARxm3WRy9ojjhVxRA2lvx9QFHk7np2FbKIFbFoRV2oQ53IBy2r5QZw7IccN9gAr4qh4mfvEId8+cWOyP9xVDGHnNfYqjawOvPWtcoFnLQ3i3JcliFsaYBC3le07VFyF0XajwONhpxHE2TsZxFltcjJ9PTOIa8dy3ucRVVsLfUqRKZFIrwB4xzsA/KfWDeKUrnQQt7gI9PaW+YJGNZzucGAxLh+srIgj2lxWRRwArK5mb+hunFAI9u2HPmpjW8pyGO1FzN70xVCWggCAZIffwgFRI1D6t2HWtR290XGMff0l3PL2twEA1JgEcTZfFSri2iXscyQj0HU5EVmIrNaUuUppZ2eBw4fTt82+JZSW6+c2N8efW70xujxsFcSFQqyII2pUdrss8pyakvaU28yKuDfflIVsS0tIbRZlhHTmCfqsFs0FCrsDwCoQmy49iPNo0u3C1cUgjoq3d68Ecbfi+S2DuDHswO7dVRxcrRkVcUfwPL41loRVdRb+KZl7R3YfsOT1mtnwsPF7hxEJ4u68c8uvcSZkHq528j3RapnNO+aR7vZ2K57L+zyiamNFXAt65RUfVlYUdHcDb7khma6Iu+OO2g6sFgLZQVzZjBfROgIAFHR0AG63Ba9L1MQ6OoAwPEjA2Fl7fXtKI4i72s794cpla5PAxBYpvjWlbTkoVzr91g2IGsbcsLSnjPxLuprMHpPWlObvVSU52uXD1INwVmHWVrIqAU6ckLOYmcwAyW6Xx2kj/twag98vF6yII2pqZnvKiQkAO3fK+3A0Kh94ZlvK7duB9nYsLaUPq4utiAOAqEfmyonZ0ifK3qRUxLl7eNKZimcGcQDyB3FGJVLLBXHXX4+E3Y1OLCPx2htbP79A2xalIg4HWBG3laEhYBSyT1xypLCKOLcmQZzDz4o4qx09CtzWP4rDOIMezKbuvwdP4macxWGcwe0Dozh6tIaDpJbHIK4FPfecVJrcfTdge+N1WTnn8QA33ljjkdWA1UGcUREX80kZNNtSEm2trQ0AlHRV3HJ26wC8JpOBCzaZDDCIK53Zi94eLb4izrEaBJBuf0atRb9ZgjjfhbOp+xxxCXTVtsq3pnR2SBDnRiRrn7rNZJ6AHBoCcPw4cPp07iefPi2P00b8uTUGI4jbqt0694gjamxmEDc+DgnhzAPjN97YsD+cWRUeCKSaIhQl3i5z5eRCaRPleBxogwRxnj7uEUfFy2xNqV/MHcRpl6UibhQ7W2sfcYcDwT3SPt7/xnNbPLlAa2vYFpFAyXkTg7itDAwAY0YQFzlfQBCn66kgzhlgEGc1VQWemdqF53EEf4kPpe7vwgLO4jCexxE8PbkLqlrDQVLLYxDXQjQNeOop4FvfkpDo7ruRroa79daNq51bgRHEdWHB0oq4sFtel20pibZms0knylQQl6ci7uyaVMRde201R9dc1HapXLLHiq+Ic4WD8rU9fgtHRI2i+4ckiNu1cBaxmNznTBhBXEf1KuKKCeIKOgFp46FwUcyfF39u9afAirhQiBVxRI1scFAux8eNO8z2lG+8Ydn+cCatQ84bKIsLJX39aigJH+Sks6eXFXFUvOFh4Ipdgrj4hdxBXPh1CeKmHDvK32qkwcQPyT5xw5PPWvOCFy7ABh3z6ELXvh5rXrOJ2e3Akl+CuNibBQRxkQhUJAEAri4GcRVx4gSSava5bRukk0dSZScPqj3OolvEyZOyxce996q4fFlWrn/yk8Dlv23d/eEAVKwiLuRkRRxRMTo6gGUYK/MzK+J0PXVS4XtzbE1ZLnNTaGe8+Io4dzQoX9vnt3BE1Cj63i1B3EH9Vbx6RlpSOjS5tLdXPoizeYsP4nKegPRkVO/98R/LPmf9/Vw5s5W+Pvk5HT4MPPIIf271qIjWlKyII2pcWa0pgXQQd+HChoq4coM4c66sLpc2UV6dXUudAHVyjzgqgaoC+i7pN6leGZG9ENfRjZaAsYGdBe8h3CycPyD7xB1ceQ6aVv7rJc5JJ5rXcBDb+lvsh1miaL8EcbYrBQRxq+k5OIO4Cjl+HLZnc3fysD3LTh5UewziWsDJk8B996VXhpump4HQPz4tN1pxfzigYnvELSmsiCMqRkdHnoq46WlgaQm6zYbnglIKxyCudGYveldiNb3HU4G8saB8bb/f4lFRI1CGtmPR0Qs7NIx+4xwAwK1JRZyzs/KtKc0Arewgznx/2bYN+PVfl9aKIyNG70rKa2hIfk6nTwP338+fWz0yjmm5RxxRc8tqTQlI7z4gZ2tK83Ow1LdqW7e8rzhWSpsor81IW8okFMBb+UU71JzaDg4jARVqLAJMTW143DklFXHq7h3VHlrN+e+VIO4QXsD01XjZrxd+QRbAvq4cQHd32S/XGnZKEOeeGdt6fm0EcRG44G1nf8SKYycPqkP8bWxymgY88EDuzwOfHsINeFmed+S2Ko+sTlSoIm5eZ0UcUTHa2/NUxBnVcLHB3YjCjd5eeS6VxhWQkyCqrsnGHUVo14IAAO+A3+JRUUNQFMwMSVXc6inZJ86VlCDO0VmFk2vu0ltTZp2ANPacxHXXyaWiAC6XNWNsdi4XUkvN+XOrPxl7xG3VmpIVcUSNK29ryvPnJYwDLGtNae+VubJ7rbSJcmROgrhVpQ0tV6pEltmz34ExGCHbpXXtKZeXU+3zvQdaL4hT91+LJcUPN6KYf+pc2a+XeFmOk6+0HeQ+WgVy75U3WGd0BVueVDSCuBW0lbRvJxWInTyojjGIa3KnTm2shDPdiudgg44R7MSpNweqO7B6UaGKuNkEK+KIipG3Is44aT7fJ5tFsxquPM7MFhirhbenTCSATj0IAGgb8ls7KGoY2lskiPOelyDOrUtrSjPgrSgjiHMhhshqYb13cp6AfPVVuTSDOKJmYQRxHQhheSGR92msiCNqbHlbU168KIusPJ7UB595HqDUIM7VL3NaT7S0iXJsXo7pwyrbUlLp9u0DLkH2idsQxI1JNdw8urB9fwv+ntlseL3jCAAg/q/Plf1y9jdk7j3Xc7Ds12oV/bs9mIZx4m908/aUiSWZf6/CxyLhSmInD6pjDOKa3ORk/sduh+wP9wxu3/R5Ta1CFXGTUVbEERUj7x5xRkXcFR/3h7OCt8OBBIzljWtrBX/d0mwMPsjzGcS1rsA7JIgbnjuLSATwGr8TLn8VWlMaQRwAxELRgr4kZxBnVsQd5AkGajJGEAcAsbnlvE/jHnFEjc0M4ubnIRXiQ0NZn5HYty/VhqvcijjPoMyVnckoEA4X/fXReamIYxBH5di7d+sgbgw7sHt3lQdWJ8YHpD2l86UygzhNg/fqBQBAaPuBcofVMoaGgFFIe8qtgrjoAoO4qmEnD6pTDOKa3MAmhW6ZQdxmz2tqRhDXhlUsz5ffU9tM866sSRDHijiiwuStiDOCuPNgEGcFX5uCVRhVcUVUxC1fWUpdd3TzxG2r2vYeCeJu0M/h7DPpcLaaFXEAEFsurDdlzr1x1remJGoWDgcSbnl/1xaCeZ8WCrEijqiR+f3pj8SJCUjodu216ScY+8Ppevl7xLUNtKcXcBkLTosRX5QgLupgX3kqXWZFnPbmuiDOCD5GsRO7dlV5YHViaZ8EcV0XywziLl+GmoghDHdq3zPa2vBw4UFcbDEdxDEXImpNDOKa3NGjcuC9sSW7jjvwNADgUt8dOHq06kOrDxmrh7U5C0rijAnK2LIEfKyIIypMVkVcjiDu+RUGcVbw+VBSELc2EQQAhJR2cMOA1mW7ZjdW1E64EMPF/+9s6n53oAoVcXZ76mRgPLR1EKfrOVpyRSLpldSsiKMmlOzwy5XFYN7nsCKOqLEpyibtKYHU3/XiYrr5QalBXKBLwSJkXltK+xhtyQjinKyIo9INDAATLgnioq9lB3GxN1kRF7/5rQCA/rmXi5rfbWAsVnsd+9E3wPleoTIr4vSRrSri5D0xYvNx20yiFsUgrsmpKvDww3I9841+Dy6hF3OIwon/8PlDrXteVVWR8BknIazoTWkEcVfDrIgjKkZWRZzZmnJlJdVu5LszEsRlLvil4rW1AWswqpeKaE1pBnErdr/1g6LGoSiYGpSquPiT30vdbfNVIYgDEFPl+yRWtg7igsH0uYjUCcgLF4BkUhbhcKUMNSG90w8AUJdzH9PqOhBdjsINo70rK+KIGpIZxI2PG3dkBnFGGZxZDdfTI9vGlSIQQFlBXHJJFtfFXQziqHSKAmg7JYizjWQHcWuvSfAx59nRsh9pXTduxwQGYEMSeOGF0l8ooxNNf79Fg2sBAwPAmCJBXOSNsU2fmwjK5CRi9236PCJqXgziWsCxY8Djj6cP2IF0W8qVfbfgfT/R2jXRul8mF7YlC4I4Y4KyiACcTp7fICpUzoq4C9KjXu/txbmJbgCsiCtXqRVx0emgfInDb/2gqKHE3nIYAND/pgRxMTgAh6M639smvbgKCeLME5Dd3RknIF99VS6vuy5XqwCihmfr8gMAXJEg4jk6rq+uAu3I2D+une3iiBrR4KBcLp8bBc6cyd775tlngbNnsfzUGezAaMn7wwHZQVxyvoQgblmqPxJuvtdQeZwHJYhzL0xmLSbURiT4iPa3bivF4WHgOUh7SjxXRntKoyLuNRzkerUi2O1AKCC/f8lLm1fEJZZk/h1jEEfUshjEtYhjx4CREeCf/knDpz51CZ9+r7Sl7P7h22s7sHpg7BPnXFtEIlHG62iaLMEHsIAu9PXxPB9RoXJWxBmr8sI7D0DXJURilWl5fL50RVxiufCKuNhMEAAQcfsrMCpqJP67pSLu1vi/AAAiSnWq4QAgoUoQp62Et3zuhraUQHp/OLalpCaldvsBAH4EzUPSLMvL6f3h9LY2thomalDmAtsP/cEu4MgR4JOfTD8YDAKHD+Pog0cwil2WBXHhieKDOH1FgjjNw4o4Ks/gdQEEYaxyHhlJ3e+clCDOtmtHDUZVH4aHgWch7SmTp58t/YUyKuIYxBUnsV2COHV88yBOWzaCOLbrJWpZDOJaiKoCd90FvPvdixi6KhVxuJ1BnNojk4sAFnOetCjY0lLq6iICPHghKkJ7e0YQZ1bEGZOBue70/nAMt8uTWREXXSi8Ik6bDwIAYh5/BUZFjaT/hyWI68UcACBi81bte8ftRhC3WnhFXNYJyMyKOKImZOuSY1o/gjm7yGXuD6dwfziihmUGcV+4/YSUY2TSdQCAZrPjOE6UvD8cIIV2IdUI4iaLD+JsK3JMn/TxpDOVZ99+BZcgVXGp/X7jcfiWpD+r50DrVsT19QFnbVIRl3ymxIo4XWdFXBnU3RIEu5dnN93+QQvJ/DvuZEUcUatiENeClEgEeOkluXHHHbUdTB2wdct+bgEslrdNnLE/XNzVhgQcrNwhKkJWa0qzIs6YDIx60kEclcfpBNaMIC62WHgQl1wIAgDibf4KjIoaiW3/Xqyp6RNqUbV6QVyihCAu6wQkK+Ko2fn9APIf04ZC6Yo49k8nalxma8q/cxwHTp/O+Zzfe/dpPIbjZVXEAcCqW+bKsamFor/WtiYVcWAQR2Xauxcbg7iJCdj0JKJwoue61j35oqrAxOARAIB99GLqvFRRpqeBYBBJKLiAfQziitS1x49lc1HxWP594vQVmX8nXAziiFoVg7gW5D1/HkoiIbuKlntk3gwC6Yq4soI444vX3PJ6PHghKlxWa8p1FXGvJOWkOYO48ikKELNLcBJfKrw1JZaCAACt3W/9oKix2GyY3HYodTOmVq81peaQIC65tnUQt6E1ZSKR2neSFXHUtIwgbrPWlGZFHFgRR9SwzIq4iYmMO222rMvpablZ7nQ/5pW5rTZb/ERZDRtBHPejpDLt2wdcxm4AQPzCZblzVNoAXsEwdu1p7VObHbu68CaMyfLzzxf/Asa8+zJ2I25zo6fHwsG1gKFhBaMwqjJHN2lPaQRxmptBHFGrau1PqxbVdu6cXLn9dvZ5A6wL4oyVRysOWTXIijiiwm2oiNO01Enz50KsiLNSzGiFYW4WXQh1OShXOv3WD4gaTuyGW1LX13QvnnpK/mQrTXNI6FdIELehNeXFi0A8Dni9XIREzSsjiMvXmpIVcUSNzwzixscBvbcP6O8HDh8GHnlELvv78dq8TEbL/ciLt8lcOTlf/ETZHpEgztbBijgqT3c3MOWRirjwK1IRp49K5dEodmL37poNrS4MDaX3icOzJewTl9GWsreXW8gWa3gYBQVxyqq8JyY9DOKIWhWDuBbkywziyPKKuKCNFXFExcqqiFtZkZYjsRjgduOZCem5ziDOGmZP+sRy4UGcfVUqKGxd/koMiRrMlZ50EDcf8eLuu4Fdu4CTJyv7fTWnVMTp4RJaU2a2pbTx8JeaVGDzPeJCIVbEETWDgQG5jESARd8QMDIiLSrvvx84fRr65RE8PyUfgOUGcVqnvK8gWPxE2RmVLhe2TgZxVB5FAeLDEsTpRmvK8OsSxI1hB3btqtXI6sPwMPAcZJ84PFfCPnHcH64sQ0MZQdwmrSmVsMy/k14GcUStimciWo2uM4hbz+KKuAWdFXFExcqqiNN14MwZubpvHy6OyJK8a6+t1eiai+aU1pTJUOGtKZ3hIABA7fZXYETUSE6eBH7jsXQQdyPO4TCex/g4cN99lQ3jdCOIQzi8+fP0HK0pX31VLrk/HDUzVsQRtQS3WyqEAKM9pcuV7nSjKJgLuRAx1qyY+8mVzC9zZXW5hCAuJtUfdj9bU1L5HPsliPNMXgJ0HauvSuXRvG8nPNXrlF6XsoK4Z5+Vg+FiGK0pz+MAg7gSZFbEJUfyV8TZjCAODOKIWhaDuFbzD/8A5+wsdJsNOHKk1qOpDxlBXK79NApmnPGYSbAijqhY7e1AGB5o5seSsZIvvPMgolHAbmc3OauYPenNzaIL4YkEAQDOPn8FRkSNQtOABx4AXsVBhCGhWDcW8FP4Ymq+/+CDlWtTmXQZQVxk84q4hYV0VpezIo6oWRlBXL5jWu4RR9Q8MttTrmdWhW/bJhldOWzdMrd1rhQfxLkSEsQ5u1gRR+Xz37QTSShwxteAmRkkLkvlUbR/R41HVnvDw8ALuBkJqMDUVO43hs2wIq4s/f3AVUV+D+Nv5g/i7BFj/t3G90SiVsUgrsUo//2/y5XubtknhSyviJuMsiKOqFguF+ByKemqOKO3/UyX7A+3a5eEcVS+pFve+/W1wivivPEgAMC1zV+BEVGjOHUKsF0dxU14Kb0hPICfxJdwM87iZv0MlCujOHWqMt9fN4I4Jbp5EGeegOzryzgBaVbEXXddZQZHVA+2qIgLhVgRR9QszEq3zYI4Kxax2ftkbusOLxT9td6EtKZ0BHjSmcp37XVOXIHxS33pEhyTEsQpOxnEDQ0Ba/Dhgv16uaOY9pShUKqVBCviSmO3A6s9W+8Rp0YliLO1syKOqFXxtGYrGB0F5uYARYHyz/8s962sAGfPSsl6Tw+wc2dtx1hLFu8RNx6WyQoPYIiK094OhKLtCCCYak152SVBHPeHs45utMJQVguviGtLBAEA3kF/BUZEjWJyEhjFrg3392IWZ3E4dftvJ4tsh1Mod2FBnNmWMlUNl0ymWu6wIo6aWgGtKVkRR9QczIq4iYmNj21oz1wGV7/Mlb2RRTl3YLbALIAnKRVx7h4GcVS+vXuBS9iDnRgDLl5E27wEHu59LXwuy2D+rT+duBXX4fsSxL3//YV98euvAwCW3H1YjHShv79Cg2xyyeGdwCzgmBkHEomcq4gdMQZxRK2OFXGtYNcuaUN5+HC6V1M4LLePHEHL72xr+R5xASiK5JtEVLisfeKM96pzcQZxlvMZQVy4sCBO04BOPQiAQVyrGxgAjuME4uvWcdkgwVscdhzHCQwMVGgAbtkAxBYrrCIudQJybAxYWwMcDr6ZUHMzjml9WENoPrbhYe4RR9Q8CmlNaUUQ5xmU9xW7HpfP0gLpOuDTjSCul3vEUfnMIA4Aok+fgTshc5nAW7h/QW8v4HQCp/FWuaOYijijLeWIWxarcUF5abx7+hGFE7aklrc1qCtu7JvZySCOqFUxiGsFJ06kVmOY69dS69jsdnm8lRknLdqxguX5eOmvY6R4C+hCdzfb6BEVq6MDCCFjoq4oeDa4DwDPnVtJ8UlrSluksJMpy/NxtEEmuu3D/koNixrA0aPAd4eO43aczvn47TiNU8PHcfRoZb6/4pGKOFssvOnzNpyANPeH27ePH87U3DKq3OJzSxseDoVYEUfULAppTZmqDC9De78vvQCniFWrsbAGH+RY09PLijgqX2cnMOOTIE77pycBAFPYhh373LUcVl2w2SScfw63yh3PPScdIQphdI143SYLYBnElWb7sC3dOjVPe0pnXObUageDOKJWxSCuFRw/DpzOfdIMp0/L463MaOMDAIm5YOmvY1TELSLA/eGISrAhiNu5E6+NSmjEIM46itEKI7VZ9BZCV9Mnc129PHHbylQVePjh9G3NOIzUMg4nH3pInlcJZhCnFlgRlzoByf3hqFWoKhI+eZ9WghtPmLMijqh5bNaa0sqKuECXgkXIwtVigrjVmfRxprePQRxZI7pdgjjPG98HAIxhB3bvruWI6sfwMPAybkDC4QaWloA33yzsC40Fa9+PsSKuHMPDwCiMNqljYxufoOtwa/K+6PAziCNqVQziWoxus2VdErJOWpTVm9JsTYkuHrwQlSCrNSUA/cABXLwo1xnEWUdtk3BTjRVWEbdyNQgACCntrCYiHDsGfOrRPszY+nEGh3E/HsEZHMaMrR+ferQPx45V7nvbvEYQFy9sj7gNFXHcH45agN7hlyvB4IbHuEccUfOoVmvKQADpIM6Y7xYiPCst2BJQ4WhnxRJZw75PgjhFl7boV7DDkt/zZjA8DCTgwMzAIbmj0PaUxnHycysM4soxNJQRxOWqiItEUu38nV1cnEDUqpjGtIq+PqC/H7jlFox+7GPALbfIbZZuAQD0Tplc5Fo9XDAjxGNFHFFp1lfERXYewJJxvnDPnhoNqgmZPemdscIq4sKTQQDAiuqv0Iio0bznQ0PoDo1g7YnTuOux+7H2xGl0h0bwng9Z0ANrE2YQZ08UuUccK+KolXQZ+zmtBDd0pQqFWBFH1CzM1pTT00A8Y3eFZDIdzlkRUHR1yUJTAEjOFz5XNoO4VaUNUJQtnk1UmPa3ZJe/LbTvhMNRo8HUGfPv/ULA2Cfu2We3/qJ4PFU59xoOwGaT/eaoeMPDUqEJIHcQt5qee7sC3iqNiojqDZe2t4qhIWBkBElVxdxLL2Hov/wXqJoGuFy1Hll96AoAE6NwrC5C00poqxWJAGHZs4YVcUSlWV8RN+WXPvWDg4CXx6qWMVthOBOFBXGRqSAAYNXpr9CIqBGpXhfuutu8pQCo/PGE6ts6iNP1dEXc0JBxByviqIWoXX4AQCeCWFpKbYUMAFhe0tNBHCviiBpaby/gcMh59OnpdDvmmRm5z2YDBgbK/z6ZFXHhiUUU2lAtOhcCAKzZ2sDYn6wydHMvVuBL7V8d3bajxiOqH+Z7wIv2W3EXUFhF3MWLQCIBzePDlfAw+noq12K+2WVWxOkjo9iw/MAI4sJww9vOHzJRq2JFXCtxudKr0RSFIVwGtUcmFwEspipwimJUwyUVG0JoZ0UcUQnWV8TNzMn7FdtSWsvRKammM1FYa8rYTBAAEHH5KzQiosKobR4AgF3LH8TNzQHRqBzmbN8OOTsZDMoZyX37qjNQohqyGUFcAIsbulMmltdghyY3WBFH1NAyg7bM9pRmVXh/PyypFHI6gZAqc+XIZOEVcbEFqYgLq2zBRtbZu0/BJaRbpejDDOJMZkXc96K3ypUXXsgul83FWKy2MnQAgMIF5WUYGACu2iSIS1zKXxG3Ch8XGRO1MAZxRABsXekgrqRt4ox++SF7ADpsPIAhKkF7e3ZFnONFWcXHIM5azoCsZXbo8a0nZwAS80EAQNTrr+CoiLZmb5OKOKcWzvsc8wTktm1y8jDVlnLPHsDNPWqoBfj9coFg1jGtpgGOsKw201WVpeZETcBsT5kriLNy36ywW+bKsenig7iIo32LZxIV7tprkRXEbQ8U1uGjFZh/8/8ys1cW20QiwCuvbP5F588DAOZ7pRMNz2OVTlWBcJ8EcbarY9KVI9OK0a4XPvgKLS0moqbDII4ISPXtKTmIM75oySavw4o4oiKNjuKapTPwI/0HeM0rX8PNOIu3uc/k7rNOJXF3ZZx8Xdu6Kk5fCAIA4j5/ZQZEVKBUEJfMXxFnnoA02/OwLSW1nDxBXNb+cB0d3LOJqAls3y6XExPp+8z2zFYGcVGvzHETs4VPlBNBOekcdbAijqzj9QIzvnQQN3Tpu9C0Gg6ojpjHvlMzNiRvOSI3ttonzjhOHm+X42QGceWx7RxGEgrUaBiYnc1+kBVxRAQGcUSi3CDOqIib12Ujax7AEBVp1y588I+O4Lfx6dRdHZFZnMVh/PwjR4Bdu2o3tibj8bugmR//qwWsIjV6myXb/RUbE1EhHO3pIG79IlPThhOQZkXcdddVdnBE9cI4pl0fxC0vA52QijiF+8MRNQUziKt0RVy8Td5XkvMLBX9Nckn2iIu7GMSRRUZH8cTnzmA5ku65uvPFv8e/HTyLJz7HhZs9PenmD8v7jfaUW+0TZ1TEXXKyIs4K/TucmITRM3hsLOuxxBKDOCJiEEckLKqIm02wIo6oJCdOIKnas+5SIGfaddUOnDhRi1E1pbZ2Basw+mEUEMSpoSAAQO/0V25QRAUwgzg3IojFcj9nwwlIVsRRqymkIo77wxE1hc1aU6Yqwy2gdcpiUyVY+EQ5uSwVcXE3W1OSRXbtwj2/eQS/oX02dVcvZvHNmcO45ze5cFNR0n/349sLCOJ0PRXEvarLcXJ/fyVH2PyGh4ExGPsWrguGY4sy715BG4M4ohbGII4IsKwibi4pkxQGcURFOn4cz/3p6ZwPLf/jaeD48SoPqHn5fMAajKP/AlpT2leCAACly1+5QREVwNnpASBBXCRPd8oNJyBZEUetxgjiAlg0C5oBZFfEgRVxRE0hV2vKSlTEmXNldbnwibIekiBO87AijsqnacCvdZ1AHNkLN23Gws047Phw14mWb1NpHv9e6HyrXHn55fzzvfFxWaWjqjgXvhYAK+LKNTQEjEL2icsXxK3BJ/tYE1FLYhBHBFhWEbeIAHw+cPNVohKYfzdJ46PJbJ/IhfvW8vlQVEWccy0IALB3+ys3KKICZFbE5QvislpTLiwA09Nyx4EDlR8gUT3IUxG3vMyKOKJmU63WlLZumSs7V4qYKK9Ia8okgziywKlTwBcWjuM25F64eRtO408XjuPUqSoPrM6Yf/cXVrdLeZumAS+8kPvJRjUcrrkG47OSDDGIK8/wcP4gLh6UeXfE7uM2vUQtjEEcEWBZRdwCunjwQlQi944+TKIfL6qH8eIvPYIzOIw5ez9LTC2WWREXX9q6Is4dDQIAHL3+Co6KaGuKR4I4D8JbVsQNDyPdlnJ4GGhnayxqEXn2iAuFWBFH1GzWt6bUtHR1nJVBnKNP3ldc4cInyrY1qYjTfQziqHyTk9m3tXULN/M9r9WYf/dXrirArVu0p8xo326uW+O5rPJsVhGXWJL3xJidq/aJWhmDOCLAsoq4BXQxMyAqkXffEHZhBG/VT+OJa+/HbTiNB947Yu0mF5RVERdd2LoizhsLAgDc/f4KjoqoAO7NK+KSyXRF3NAQuD8ctSZWxBG1DLMiLhSS/6amJIxTVWv3enJuk7myN7oo+0oVQDWCOC6EISsMDMjlDGTh5hkcxv2QhZuT6McM+rKe16pSQdwVAG812lNuEcQl9x/E7KzcxSCuPJkVcfq6IE5blnl33MkgjqiV2bd+ClELsKgibhEBHrwQlai9HYjBBSSBc+cAQMHOfa5aD6vpOJ3AmuIDdAnitlqn3JYIAmAQR3XAbVbERRAJ6wCy+7rMzgLxuGxWPzgI7g9HrSlzj7jF9N8J94gjaj5tbfLnvLwslXDmPHZwUMI4q3gGZa5s1xPAykpB4ZoakSBO6WBFHJXv6FFZZDU+PoRd+ghicAJQ8Ch+AU7EEFdcGB6S57Uyc/3q1asAftmoiHv22dxPNlpThrYfQDIpx8+9vZUfYzPr7weu2nYCSUAfGc2aqSQZxBERWBFHJIwgrgMhLM/Hi//6jNaUrIgjKo3Ph1S/9LNn5fKaa2o3nmYWU6U1ZSy4eWvKZBLo1IMAgLYhf4VHRbQFI4gDgGgotuFhsy3lwADgcIAVcdSajCDOhRjWFtKlo6EQK+KImlFme8pK7A8HAB39XkQhe0gVumrVGZE94mwM4sgCqgo8/LBcjysupBdjKcZt4KGHrA2gG1FWRdyRI3LjzTdz/90ax8kz3XKc3NMD2FmqURZVBeIDOwAAtuCiHHwZ9BUjiHPxPZGolTGIIwJSJy0AIDEXLP7rjQMbVsQRlc5mSy+wNQtZGMRVRtQhK/ESS5u3plxZjKMN8pz2YX+lh0W0OY8ndTW2vLE3pXkCMtXN1gziWBFHraStDbrN2DtnPpi6mxVxRM3JbE85MVG5IC7QpWARsnC14CAuJhVxdj9bU5I1jh0DHn88/TtvGhqS+48dq8246on5tz87C0R83cCePXLH889nPzEYlF62AK74DgBgW0qr+Hd0YBF+uTE2ln5gVebUmpsVcUStjEEcEQDY7Uh4jUlCKb0pWRFHZAnz3GAiIZcM4ioj4ZCKuMTy5hVxy1eWUtfdfTxxSzXmcCBprICOL4c3PJx1AnJlJb1JOiviqJXYbNDa/QAAfTGYupt7xBE1JzOUGB9P75NqdRDX1YWigzhXXII4R4DVH2SdY8eAkRHgySeBxx6Ty8uXGcKZAoH0urXxcaT3iVvfntJoS4nBQUysyByPQZw1MveJQ+Y+cWsSxCW9DOKIWhmDOCKD3imTC9tSkUFcMsmKOCKLZC7Sd7k2rngka5i96c1No/NZuRqUS6WNvUqo9hQFMZu0p4yHNlbEZZ2AfP11udHbC3R3V2mARHWi0w8AsC0HoetyVyjEijiiZlSN1pSBQDqIS84XNld2J6QlG4M4spqqAnfdBXzwg3LZ6u0oMynKuvaUtxr7xD33XPYTM9q3G4VxPI9lkaGh3EGcYgRxuodBHFErYxBHZOoyNqEOLSKZLOLrQiGYX7CIACviiMqQeW5wzx5pV0nWM1timL3q81mbCAIAQqq/wiMiKowZxCVWtmhNafa3ZVtKakFKlx8A0JFcNDshsSKOqEnlak2ZatFskcwgLjxRWBDnTUpFnKubQRxRNRUUxJkVcQcOYHparjKIs0a+ijg1LO+J8DGII2plPMVJZFC7ZXLhxyKWl4v4QqMaLgw3IvDwAIaoDJlBHNtSVk7SLa0pkyubt6aMTAUBAKsOf4VHRFSYuLp1EDc8jKyVvkStxmYEcX4EU13kuEccUXPKbE1ZqYo4pxMIqTJXjkwsFPQ1ZhDn7uUecUTVZP79X70K4JZbZGXrxITRq9KQcZxsBnH9/VUdZtPKVxFnj8jKKKWNQRxRK2MQR2SwGUFcAIvFbROXsT8cAFbEEZWhPWOuziCucpJmS4y1zSviYrNBAEDE5a/sgIgKZAZx2uoWrSlZEUctTAmYi8vSQVwoxIo4omZktqYcHQUmJ+W61UEcAKy5Za4bm956oqzHE/BAPqc9vayII6omsyL2yhVI9dX118sdmVVxOYI4Lii3RlZF3NhY6n57lEEcETGII0oLlBjEZewPZ7enXoaIStCWMVdPJgFNq91YmppXKuKUtc0r4rS5IAAg6vFXeEBEhUnYZQf69UGcpqUX+rIijlqe3y8XGUHcypKGdhhtkVgRR9Q0zIq4yUlA1wGHozILQ6NemeQmZreeKEfmVlLXvX0M4oiqKas1JbCxPWU0Cly6JNfZmtJyQ0PAGHYAAPSMijhHTII4WwffE4laGYM4IlOpQVxGRVxvL/e0IirVyZPAl7+cvv2nfwrs2iX3k8WM3vS28OYVccmFIAAg7vNXeEBEhUk4pCJOXwtn3T89DSQS8hncH4gCb74pD7AijlqREcQFsIhgUO5KLoXSjzOII2oa/f2AoqRvDw1VZj6aaJe5sr6w9UQ5PCtBXAwO+Lpc1g+GiPLaMoh74w1Z8drRAQwMMIizWH8/cNVmVMRNTACxGADAEZd5t9rBijiiVsbIgMhkQUUcD16ISnPyJHDffcDKSvb94+NyP8M4a5ktMdTI5kEclmQ/Ia3DX+ERERVGc+RuTWm2pRwcBOyXs08wELWcHBVx6oq8n+suF+DiiXGiZmG3Z59AN9vSWU3rkLmyEiw8iFtBG1S1MuMhotzM9wDz2BhvfatcPveclM2ePy+3Dx6EllQwMyM3eS7LGqoK2Af7EIYbiq7LP4Suw5WQebfDzyCOqJUxiCMyWVARx/3hiIqnacADD8i8YD3zvgcfZJtKK6nt0ppSjW3emtK2HJQrnf7KDoioQGYQp4ezgzhz1W9WW8rrrssuEyBqFeuCuGgUcMVkfzi9g/vDETUbsz0lUJn94QCk5srqcgGtKWelAnfNxhZsRNVmvgfMzwNrawBuvFEW4ASD0jHCPE4+cADz87J2TVGA3t5ajbj5DO9QUu0pMToKhMOwQU5s2DsZxBG1MgZxRKYyK+IW0MVVREQlOHUqY8VeDrouJ9lPnaremJqd2RLDEd28Is6+EgQAKAF/hUdEVJikc/MgbmgIwKuvyg3uD0etyjimNYO4UAjohFTEKZ1sS0nUbKoRxKk98r7iXFnY8rmxBamIC6sM4oiqrbMzve/61auQjSMPHZI7nnsuax9lsy1ld7c8jawxNASMwmhPOToKrKbn3K6At0ajIqJ6wCCOyFRmRdwiAqyIIyrB5KS1z6Ot2TtkAuBIbF4R51wLAgDUbn+FR0RUGN0I4hDJ3ZpyQ0UcUStaVxEXCgEdkIo4pZMVcUTNpr8/fT0crkwXCXtfFwDAHd56opwK4uzt1g+EiDalKFu0pzRbUx44wP3hKmR4OHcQF4Yb3nb26yVqZQziiEysiCOqiUK3cOJWT9Yxe9O74ptXxLkjQXl+r7/CIyIqTNLtkSuRTVpTsiKOWp0RxAWwiGAQWF5OV8ShgxVxRM3k5EngS19K3/7854Fdu6zfX9nVL3NlTyyYu598hviiBHExByviiGrBrIw1j49x661yefp01h5xDOIqI6sibmwsFcStwgcvC+KIWhqDOCJTl6zyY0UcUXUdPSoHq/m2clIUmUwcPVrdcTWzVBCnbR7EeWNBed42f4VHRFQgl1TE2aLhrLtTQdxAArhwQW4wiKNWta4ibnk5XREHVsQRNY2TJ4H77pO/8Uzj43K/lWGcZ9DYI07XpMx2E1pQHo85GcQR1ULeIO6ZZ6Rs1uEA9uzB1JTczSDOWsPDyN4jzgjiVtDGII6oxTGIIzIZFXEdCGFpPlH41xlBHCviiEqjqsDDD8v19WGcefuhh+R5ZA13l8wAnHoMSOR/v2vTggAAz4C/CqMiKoBbgjglmrs15TW2y0A0Cng8wM6d1R4dUX3I3CNuQc/aI44VcUTNQdOABx7IXZxm3vfgg9a1qezY5kEELrmxxarV5LJUxMXdDOKIasEM4lKtKfftk89/881h717AbmdFXIXk2yOOFXFExCCOyGSsHgaAxFyw8K8zJiKLCPAAhqhEx44Bjz+evdk8IAexjz8uj5N13N2+9I213PvE6TrQkQwCAHzb/ZUfFFEhjCDOFksHcZoGTEzI9eFVY3+4/fuZ3lPrMo5p7dAQXVhlRRxREzp1KuMkew66LtUwp05Z8/26umS+C2DLIE4PSRCXcHOPOKJaMPeIS1XE2WzAkSPpJxgbS5pBXOY+k1S+zD3i9LGxVBXxKnzw+Tb7SiJqdgziiEx2OxJemSzoC4X3ptQzKuLYmpKodMeOASMjwJNPAo89JpeXLzOEqwRPwI0kjHLD1dztKVeXEmiHnEhpH/ZXaWREm1M8RhAXTwdxk5MSxtntQGDC2B/uuutqMTyi+uDxIGl3yPXFRe4RR9SEJietfd5WAoGMIM6Y/+ZlnHROelkRR1QLG1pTAun2lEDqb5QVcZWxbRswrW6HBhuUWAz6xUsAWBFHRIC91gMgqifJzgCwFoJtqcAgLh6HsiInqhcRQG9vBQdH1AJUFbjrrlqPovn52hSswYs2rOatiFu+sgTz9ImnnxUUVB8UrwRxakZFnHmSYXAQsL1uVMRxfzhqZYoCvdMPzM8CwSBCoWH0sCKOqKkMDFj7vK0EAsAbkD3Vk/OLm67oVtZkfswgjqg2soK40VFgbg7o7k4/4fXXgbNn0XVZxw70YNs2tnO3kqoCfdsdGB/bjh24guTLr0IFgzgiYhBHlEUJBIDJMdhDi0gmpYJ/UxltORS/H05nZcdHRGQFn08mAm1Yhb6yCiXHc1auBuVSaUObg4cLVB9sXg8AQE2kgzizNdfwMIBXWRFHBEDaU87PwhMLYmYGuIYVcURN5ehRaT83Pp57nzhFkcePHrXm+2VWxIUnFrFZdzXVCOLQztaURLVgtqYMBgHs2rXxCcvLwOHDeMy4eXZbjjcRKsvQEDA6thM7cAX6KzI/YWtKImJrSqIMth6ZXHTqi2a1/uaMIC6ITvT2cy8aImoMbW3AGmQ5XiyYuyJudSIIAAip/iqNimhrNp9UxDni4dR9ZkXc0HYdOH9ebrAijlqcrVuOaf0IYmyMe8QRNRtVBR5+WK4r61ZUmbcfesi67VKdTiCkyvtKZHLz7jFqWII4pZ0VcUS10NGRXncz8dkT0r89hzjsOI4TbE1ZAUND6X3ibOcliFtT2uBw1HJURFRrDOKIMqjGSYsAFrfag1pwfzgiakBmRRwARBZy7xEXmQoCAFYd/iqNimhrdiOIs2sbW1Pe4L8KrKzIyYZrr63F8IjqhuL3A5AgbnSUe8QRNaNjx4DHHwe2b8++f2hI7rd6n+WwW+bKsenNJ8qOiKxoZRBHVDtme8pXDh0HTp/O+ZzbcBqP4TjPZVXA8DAwhh0AkNr6JupgORxRq2OvKaJMgewgLlcVfxYjrVtEgKuIiKhh2O1AWPECOhDLE8TFZoIAgLDLX72BEW3B3mZUxGkbW1PeYDPaUu7dCy43pZZnBHEBLLIijqiJHTsGvPe9wKlTwOSk7Al39Kh1lXCZot4AsAok5rYI4mJSEWf3M4gjqpXhYeCVV4zjZHN7OJsNqT1YkkkAsnUcD5utNzQEvIbsvffiDOKIWh6DOKJMAVbEEVFriKg+IJG/NWViLggAiHr81RsU0RZyBXFmRdzu6GtyhW0piVJBnB9BTEywIo6omakqcNddlf8+ifYAMAvo8wubPs8VN4K4APeII6oVc5+4K1cA/FAf0N8v6dzP/Rzwl3+J6JtXMLPYxwXlFTI8DPzf9UGci0EcUatjEEeUqdggjhVxRNSgonYJ4uLB3BVx+kIQABD3+as3KKIt2Ns9AABncmMQN7BoVMRdd121h0VUfwLpPeJ0nRVxRFQ+rbMLAKAEN58ou+PSmtIRYEUcUa2YrSmvXIGkciMjstmjogC/8Av4yl/HMP4zLuzjeayKyNwjzpRgEEfU8rhHHFGmjCAuGCzg+ayII6IGFXd45XI5d0Wc+SaotfurMyCiAjjapSLOrYeRTALxuLTiAgD/BCviiFIyKuKciMKNqNzPijgiKpUxV7Yvbx7EeTSpiHN2MYgjqpWsIA4AXC4J4QBAUTAx7wIALiivkMw94kyam0EcUatjEEeUqcSKuAV08QCGiBpK3CkTAW0pd0WcbTkoVzr91RkQUQEcHUYQhwiiUQnhdB1w2HU43mRFHFFKRhCXqoYDgHa2iiOi0qg9Mld2rG4+UfYmJYhz9/L9hqhWzNaU5l7K601PyyXPY1XGtm1AzO7DLHpS9+keBnFErY5BHFGmEveIW0SAFXFE1FA0p1TEJUO5gzj7ShAAoAT8VRoR0dacGUFcJJJe5fuWgVkoCwuy0nf//hqOkKhOGEFcAIup/eE0b5tsJkVEVAJ7r8yV3eFNJsqxGFyIAQA8vayII6qVDRVx65hBXH9/dcbTalQVGBzMropLevmeSNTqGMQRZSoxiGNFHBE1GrM1RnIld2tKx1oQAKB2+6s0IqKt2X3ZQZy5yvdOv1ENt3s34PHUaHREdSRXRVwH94cjotK5+mWu7I0GgWQy53P00ErquqeH1R9EtWIGccvL8t96rIirvA37xPn4nkjU6hjEEWUqMojT5uVJrIgjokajma0xVnNXxLkjQQCAvcdfnQERFUDx5K6IO+Ti/nBEWYxjWj+CqYo4pZP7wxFR6TyD8r5iQzL3mX0AkTkJ4qJwoq3LWbWxEVE2ny91KJCzPSWDuMobHs4O4pQ2BnFErY5BHFEm40ilE8tYWtC2fLo2KxVxq84utLHKnIgaiUdaU2Itd0WcNxYEALi2+aszHqJCGNVu64O4/UnuD0eUJUdFnBJgRRwRlc7f78YajKrzPKtW12YkiAuhHV5vtUZGRLmY+8Tlak85NSWXDOIqZ31F3EBspHaDIaK6wCCOKJNx0gIA4rPBrZ9vTEBs3QEoSmWGRERUEUZrDCWcuyKuLREEAHgG/FUaEFEB3FIRZ4eGSCieWuG7Y4UVcURZjGPaTiwhADleVTpYEUdEpQsEpBMMgLxBXGQ2BABYVdpg49kmoprKt09cMgnMzMh1BnGVs74i7i0T36rhaIioHvDQiCiTw4GER0rb9IUtelPqOuzLUhFn7+uq9MiIiCyl+GSZspojiNN1oCMZBAD4tvurOCqiLRhBHADEliOpEws9c0YQx4o4ImEEcTboGIKRWHeyIo6ISldIEBedl4q4sI3tYohqzQzi1remXFgANKMBFLdYqZDRUdwQPQMP0t1nDl7+P8DZs8CZM8DoaA0HR0S1Yq/1AIjqTbIzAIRXoAS3COLW1mBLxAEA7oFAFUZGRGQdpV0q4tToxtaU4VAC7ZATKe3D/moOi2hzLlfqajwUwZUr7ejAEjwLE3LngQM1GhhRnXG5kHR7YIuEsRPGyR5WxBFRGQIB4IIRxGnzi1BzPCe2IMePa/b2Ko6MiHLJ15rS3B+uqwtwcivHyti1C+8A8I6Mu7xr88Dhw+k7dL3aoyKiGmNFHNF6xj5x9tDi5p+LC1INF4MDnYPcdJWIGotqBHH22MaKuKWxpdR13wBP3FIdsdkQU+SMwep8BNPTwEEY1XCDg6z4Icqgd/oBADswJnfw74OIypBZERcZX8j5nPiiBHFRByviiGotX2tKM4hjW8oKOnECuj279kWBcYLRbgdOnKjBoIio1ioSxP3cz/0cTp48CQC4cOECPvCBD+DWW2/FZz7zGegZycZmjxHVitotk4uO5CJWVjZ5otGOYxEB9G3jBnFE1FjsHdKa0hHbWBG3cjUol/BBcTqqOSyiLcVs0p5y4lIEug68RX1VHmBbSqIsti4/ALAijogs4XQCIdUI4iZzd49JBGWPuJiTQRxRrTGIq6Hjx5H819O5Hzt9Gjh+vLrjIaK6YHkQ97WvfQ3f+973AACxWAy/+Iu/iOuvvx5f/vKXcfHixVRAt9ljRLVk65HJRQCL+VrfC6MibgFdPIAhoobj8EtFnDO+sSJubSIIAFhR/VUcEVFhYqoHADB+MQIAuLXNqIg7eLBWQyKqT+sq4pLtrIgjovKsuWVv9Nh07olycklWssZdDOKIai2zNWVm3cPUlFzyPFZlqUb/Xs049a4rbEpH1OosfRcIBoP4zGc+g927dwMAvvvd72JlZQUf+9jHsGPHDnzkIx/B448/vuVjRLWkGK0pu7CweRCXWRHHDW6JqMGYQZxL2xjERaaCAIAVh7+KIyIqTFyViripy2EAwA2siCPa4ORJ4MkX/QAAL+Rv5Tc/1QGueySicsR8xh5xc7knynpIgriEm3vEEdWaGcStrgJL6Z0HWBFXLX19mHf04wwO4348gqVrDwP9/eAJRKLWZd/6KYX7zGc+g3vvvRfRaBQAcP78edx0003weGTl8v79+3Hx4sUtHyuWpmkWjL41mD8r/szyUzo7YYNUxM3Nacj3o1Lm5mCDVMT19OR/HhFVD9/jCmfvcAEAXNrahp9XxFjlHHb5+bOkupMwgrjZKxIuXBOTijht3z40+4cx3+OoEF/5CvDjP27DF/VA1v0jix344/t0/N3fJfH+99docERb4PtcfYu3+YEZIDm/kPPfSF9eBgBoHh//DYlyqOZ7nMsFdHfbMD+vYGREw403yv1TUwoAG/r6ktA0bhFUMQMD+PCPXsJjX3YDUHDfF34O9/xATP5h+P5ITapVj+MK/f+1LIh75pln8PTTT+Mb3/gGPvWpTwEAVlZWMGQuwQCgKApsNhuWlpY2fayzyI3Ez507Z83/RAvhzyy//kgE2yFB3AsvjMDvD+Z83rZXXsEQJIhzLZzHiy9GqjlMItoE3+O2Nh6URTNuPYIzZ86ke2cAmH3jMgBgxe7Diy++WIvhEeXlV2TfwuBUBB6soWdlBADwcjKJRIv8vvI9jvLRNOBXfuVG6LoNQfizHltCJ3Qd+NVf1bBjx7nMt32iusP3ufq04pCFXNHpqZzHiOHZGQBACDYeQxJtolrvcd3dBzE/78V3v3sJmiZB+RtvXAugE9HoGF58cb4q42hVins7AClA+c4TE+j0z/L4i1oCj+NysySIi0aj+MQnPoHf+73fQ1tbuhe4qqpwOp1Zz3W5XIhEIps+VmwQd+ONN0LlO1lBNE3DuXPn+DPbhGK0tgpgEfDvxqFDuVcI6f/7/wMgrSl/4gcPoLe3akMkojz4Hlc4WzjdkvLQ/v1Axuf3Ap6SK509OHToUHUHRrSFEbcPCAEuRLEfr8MGHXp3N264++5aD63i+B5HW3nqKWBmRn43cgVxgILpaSdCoUO4665qj45oa3yfq2//vH0CeB1oi61hT45jxJeQBAB4erfxGJIoh2q/x+3da8OFC4DTeU3q3FYkIrsUHTkyjEOHhis+hlb1la8A3/hGekeoz3xmB/7mb4bxJ3/CzgTUvFr1OM78/96KJUHcf/tv/w033HAD7lo3m+vs7MQbb7yRdd/q6iocDsemjxVLVdWW+se1An9mm+juBiBB3MiSLe9qldXpJdgBLCpd6O1VuaqFqI7wPW5rbb0ZC2ciESBjEYwSlE0EtPYAf45Ud5IOaU3pRgQHIW0pleuua6nfVb7HUT4zM+nr64O4ZXRkPI/HrlTf+D5Xn9QemSs7Vxdz/vuoEVnoZeto578f0Saq9R63Y4dcjo+nz21NTcnl4CCPBSrl5Engx38c0Net6x8fV/DjP67i8ceBY8dqMzaiauBxXG6WBHFf//rXsbi4iCNHjgAAIpEIvvnNb2L79u1IJBKp5129ehWxWAydnZ248cYb8fjjj+d8jKimArKfRgCLWMy9BzUAID61IJdtAR68EFHDaeuwYRVe+LAGfWUVSsZm3bblIABA7/TXZGxEm9Gc0t7FjQj24YLcefBgDUdEVD8GBtLXF5G9R5xUxG18HhFRoex9XQAAdzj3RNkRDgEAbB1tOR8nouoaNgrerl6Vy2QyvWhn27bcX0Pl0TTggQc2hnCA3KcowIMPAu99L3gukajF2LZ+ytYee+wxfP3rX8dXv/pVfPWrX8U999yDD3/4wzhx4gRCoRC++tWvAgAeffRR3HnnnVBVFbfeemvex4hqqsAgTpuVIC7Z2VWNURERWcrnA9bgBQBEF9eyHrOvBAEASsBf5VERbS3plIo4D8KpijgYbaWJWt3Ro8DQkJzkyVURpyhyUu7o0dqMj4gam6tf5sqe2JKc0V/HEV0BwCCOqF4MDcnllStyubgImPUSfX21GVOzO3UqHXzmouvy73HqVPXGRET1wZKKuP7+/qzbXq8XgUAAXV1d+OQnP4mPfvSj+OxnPwtN03DixAn5xnZ73seIaqrAIA5BedDWE9jkSURE9cnnAxbgQy/mEJlfhTvjMcdaEABg6/LXYmhEm9Jd6daU1yuvAjpYEUdkUFXg4YeB++4DljKCuARUhI3FFw89xBXYRFQa35DMfW3QgaWl1NzZ5IxLEGcPtFd9bES0kVkRZwZx09NyGQgALldtxtTsJietfR4RNQ9Lgrj1Pv3pT6eu33vvvfj2t7+Nc+fO4ZZbbkFXV1dBjxHVjDGZ6MQylhY0ALnPVKhLUhFn7+XvLRE1HlUFwooX0IHIQnZFnDsSBAA4ev3VHxjRFswgrgPLuEZ/U+5kEEeUcuwY8PjjwF/+kh8w2k8towNDwwoeeoh7khBR6Tp7nanW5lhc3BDEuePSmtIRYEUcUT3IDOJ0PR3EsS1l5RTa/pttwolaT0WCuPW2bduGbXne5Td7jKgmMiYT8dkggO6cT3OuSkWcZ5AVcUTUmCI2H6ABscXVrPu90SAAwLXNX/1BEW1Bd0sQdwNehgMJoK0t3XeHiABI2Pbe6/3AAbnt6e/E5cushCOi8gQCsv+kD2vAwgKwZ0/W456EVMQxiCOqD9u3y2U4LNn51JTc5mnYyjHbhI+P594nTlHkcbYJJ2o9luwRR9RUHA5obh8AQF/I05tS01Inqr1DrIgjosYUsct73fogzpcIAgA8A/4qj4ioAG4PAOBmvCC3Dx6UGS0RZVEz2qd7+joYwhFR2cwgDgA27OOg6/AkJYhz97I1JVE9cLuB3l65fuUKK+KqwWwTDmycopi32SacqDUxiCPKQes0et8v5QnilpZSVzt2siKOiBpT3C77BcWXsltTdiSDAADfdn+VR0S0NcUjFXH78Ibccd11NRwNUR3r7Mx9nYioRIEAsABZiJqcXzdXjsWkUh2Au4cVcUT1IrM9JYO46jDbhJsViaahIbmfbcKJWlNVWlMSNZxAAJi+CnV5EbqeY6H9guwPF0Ibegcd1R8fEZEFYk4fsApoy+mKuMhKAh2Q/T3ah/01GhlRfmZrSlNy/0GuLCPKxW6X1q0rK0BHR61HQ0RNILMiLjyxCF/mg6FQ6qq31wciqg/Dw8DZs8DVq+kgrr+/tmNqBceOAe99L3DqFDA5KXvCHT3KSjiiVsYgjigHtVsmF+3aItbWAN/6eYTRhmMRAa4kIqKGlXBKRZwWSlfELV1Zhhlz+AZZQUH15eRJ4Nz/cePGjPt+7r9ehx/Zz5WlRDl5vRLEJRK1HgkRNQGnEwipAUADIpPZQVxyeQU2AGG44evkqSaiemFupcyKuOpTVeCuu2o9CiKqF1xATJSDzdhTI4DFDa3vAUCfl4q4BXShr6+aIyMiso7mktMnyVC6Im7lalAu4YPNxYpfqh8nTwL33QfMr2VXxH1v/iDuu08eJ6J1NE0ux8drOw4iahpht8yVYzPZE+XInOwPF0I72tiZkqhusDUlEVF9YBBHlIPSJX3v8wVxq1fTFXEM4oioUWkeCeL0lXQQtzoRBACEVH8NRkSUm6YBDzwA6DoQQTqIi8CFS9gNAHjwwXTmQNTSRkeBM2ekD9Xystx36ZLcPnNGHiciKlHMJ0GcNruQdX94RlpTrqANHk/Vh0VEeZhB3NWrwNSUXGcQR0RUfewXQJRLYPOKuNUrC2gDELJ3Yd1WNUREDUP3SGtKrKVbU0YmgwCAVYe/+gMiyuPUKTl5AABhpM/uvY79SEIFdFnle+oU278QYdeujfetrQGHD6dv63rVhkNEzSXRHgBmAH0hd0Xcmq1t4x7rRFQzZhA3NgbMzMh1BnFERNXHijiiXLYI4tYm5M6It6uaoyIispTulYo4ZS1dERebDQIAwk5/DUZElNvkZPp6ZkXcaziY93lELevECcCeZ72l3S6PExGVSOuUObAtmD1Rji0YQZzaXvUxEVF+5h5xly4B8bhcZ2cnIqLqY0UcUS5bBHHxKWnDEW8PVHNURESWUrxSEWcLp4O4hBHERT3+GoyIKLeBgfT1zCAuiM68zyNqWcePAwcPZlfAmU6fBm65pfpjIqLmYcyV1VD2RDm+KEFc1M4N4ojqyfbtgKKki+H9frCzExFRDbAijiiXLYI4sx++7mdFHBE1LqVNKuJs0XRryuRCEAAQ9/lrMCKi3I4eldW8ipIdxO3AFQBy//CwPI+IMths2ZdERGVSe2Su7FzNnignFmWPuJiTQRxRPXE6s1tRsi0lEVFtcEZGlMsWQRyMNhxKNyviiKhx2doliLNH0hVx+mIQAJBo99dgRES5qSrw6O+M4hb9DHZiNHX/bTiNW3AWt+hn8D9+exSqWsNBEtWTvj6gv1+q4h55RC77+9mLiojK5uiTObA7nD1R1pakIo5BHFH9MdtTAgziiIhqha0piXLZIoizL0lFnKOPFXFE1LjsHdKa0h5PV8TZloMAAL3DX4MREeX3nl/ahfesuy+ARZyB0X7vlwD8ol7tYRHVp6EhYGRElsErCvALvwDEYoDLVeuREVGDcw/IXNkbWwI0DeYqmGRIgri4m3vEEdWb4WHg+eflOoM4IqLaYEUcUS5bBHHONbnTnIQQETUie6dUxDlj6Yo4dSUoVwL+6g+IaDMnTgD27DVkNhjBm90ujxNRmsslIRwglwzhiMgCnsGMOXAwmL6+LK0pNQ8r4ojqzfBw+jqDOCKi2mAQR5SLEcT5sYSlBW3Dw96IVMT5hlkRR0SNy9EpFXHORDqIc64GAQBql78GIyLaxPHjwOnTuR87fVoeJyIioory9zoQghG2Za5aXZGKuKSXQRxRvRkcTF9fW5NiViIiqi4GcUS5BNKr/GKzSxsebovLhKN9ByviiKhxOfxSEefS0q0pXZGgPNbrr8GIiApks2VfEhERUVUEAsAijHlwRhCnrBlBnI+tKYnqycmTwGc/m779V38F7Nol9xMRUfXw7AVRLg4HEm45Qa0vrOtNGYnAo4cBAF3XsiKOiBqXq0ve5zzJdEWcNxaUx7b5azAioi309QH9/cDhw8Ajj8hlf7/cT0RERBWXL4hTwxLEKe2siCOqFydPAvfdBywsZN8/Pi73M4wjIqoe+9ZPIWpNyc4AEFmFEswO4sITi/AA0GBDz26u9iOixuXpltaUHj0MJJOAzYa2eBAA4O73125gRPkMDQEjI4DTKXte/cIvALEY974iIiKqkkAAeM0I4pLzi6nV3faw7BHHII6oPmga8MADgK5vfEzX5VD6wQeB974XUNWqD4+IqOWwIo4oH6M9pbq8mHXgsnhRlhItIoDOAP+EiKhxubt96RthqfRtTwYBAL7t/uoPiKgQLpecOQDkkiEcERFR1WRWxIXH02U2jqhUxKmdDOKI6sGpU8DVq/kf13XgyhV5HhERVR5TBKI8bN0yuWhLLJrnpwEASyNSIReyB1LnAYmIGpG325O6rq+sIrqaQAdkNXP7sL9GoyIiIiKieuV0AiFV5sqRyXT3GGdMgjhbJ7vGENWDyUlrn0dEROVhEEeUh9ojk4sAFjNb32NlTFb9rTq5PxwRNTZfh4ow3ACAyMIalq8upx5rH+qs1bCIiIiIqI6teWQuHJ9JT5TdcVnM5QiwIo6oHgwMWPs8IiIqD4M4ojyUQO4gLjwhNyJeBnFE1Ni8XmAV0p4yPLeKlatBAMAqvLC5HDUcGRERERHVq5hX5sraXEYQl5CKOGcXgziienD0qGyvnK+Tk6IAw8PyPCIiqjwGcUT55AniYlNSEZdoD9RiVEREllFVIKx4AQDh+TWsTiwBAEKqv4ajIiIiIqJ6Zs6F9QVjoqzr8GhGENfN1pRE9UBVgYcfluvrwzjz9kMPyfOIiKjyGMQR5ZMniNPm5UbSz4o4Imp8YZtUxMUWVxGeDAIAVu3+2g2IiIiIiOpaslPmysqSMVGORKAiCQBw97AijqheHDsGPP44sH179v1DQ3L/sWO1GRcRUSuy13oARHUrI4gLBtN3KwtSEWfrZkUcETW+qOoFNAniYrMxAMCay1/bQRERERFR3VK6ZC5sX5a5MUKh1GPeHm8thkREeRw7Brz3vcCpU8DkpOwJd/QoK+GIiKqNQRxRPhlB3ERGRZw52XBsY0UcETW+qN0HxIDY0hoSs9JSKOr213ZQRERERFS3zEWpzlVjorwix5Cr8KKtk2f3ieqNqgJ33VXrURARtTa2piTKJ09rSnOy4RpgRRwRNb6YQ1pTJpZWoc0H5T6fv3YDIiIiIqK65uyXRanusMyNtSUJ4kJoh89Xs2ERERER1S0GcUT55AnivBGpiGsbZkUcETW+hEPaByWW12D24dXa/LUbEBERERHVNVe/zJU98RCQSCAyK60pV9CGNm4RR0RERLQBgziifIwgrgsLqSBO04C2hNxo38GKOCJqfAmXLFtOhlahLAXleoe/dgMiIiIiorrmHfSnbwSDiMxJRdwK2uBy1WZMRERERPWMQRxRPkYQ58cSlhY0AMD8vARzANC5mxVxRNT4NLdUxOmhVagrQQCAEvDXbkBEREREVNf8PXYso11uLC4iOi9B3JraDkWp4cCIiIiI6hSDOKJ8AumKt9jsEgBgejKJAKQizt7LijgianxJt1TE6WtrcK4GAQC2Ln/tBkREREREdS0QABZhzIcXFhBflCAuYmdfSiIiIqJcGMQR5eN0pitFFiR8mx8JQUVSHg8wiCOixqd7JYhTVlfhigQBAI5ef+0GRERERER1LSuIW1xEfEH2iIs5GMQRERER5cIgjmgTWkd6cgEASyNyGbW5AY+nVsMiIrKOVxYcKOE1eKNBAICzz1+78RARERFRXQsEgAXIVg3J+UVoS1IRF3MyiCMiIiLKhUEc0Wb8EsSpyxLArYzJ/nCrLu4PR0TNQWmTijhbZBW+RBAA4Bnw125ARERERFTXMiviwhOL0JaNIM7dXsthEREREdUtBnFEm7B1y+TCF19EJCKTDACIetiWkoiag61NKuLskVW0a0EAgHfQX7sBEREREVFdczqBkCpz4sjUIrAsrSk1NyviiIiIiHJhEEe0CbVHJhcBLGJxEYhPS0VcvIMVcUTUHGztUhHniITQiWUAQPuwv4YjIiIiIqJ6FzEWp8anF4EVqYhLehnEEREREeXCII5oE0pXdhCXmJOKuKSfQRwRNQd7pwRx7auTqfvahzprNRwiIiIiagBRr8yVtbkFKKtGEOdja0oiIiKiXBjEEW0mkB3EKYtSEWe2rCQianT2DmlN2RsbBwCswgu711nLIRERERFRnUu0y5xYX1iEbU2CON3HijgiIiKiXBjEEW1mXRBnX5IgztHHijgiag7OgFTEeREGAIRs/hqOhoiIiIgagdklxhZchD0ie8QpHQziiIiIiHKx13oARHVtXRDnXJPWlO4BVsQRUXNwBbxZt1cc/toMhIiIiIgahzFXtocWYY+rAACVQRwRERFRTqyII9pMRhA3NgZ0alIR5xtmRRwRNQdXly/rdtjpr81AiIiIiKhh2HtlruxcXYQzJq0pbZ3cI46IiIgoFwZxRJvJCOLOn5dLAHBuY0UcETUHd3d2EBfx+GszECIiIiJqGI4+mRO7wwtwxaQ1pd3PijgiIiKiXNiakmgzGUHc668DXZCKOHSxIo7+//buN0bK8t4b+Hd2l135owvIEcFFqMXSI6IWoU1QklVJm2iTpstpc6xtbWLakvqktVJjwaRqefG4TzWBpJoTm1ppKdVWCKccalrh8ATaR21aDoRGOSQc/7AKrQZE2AILyzwvRnZZYBfa7jrM7OfzZua+rnuX3w7JLzPzva77huow9MKel6Y8MmxkeQoBAKBiHL9dw3lH21Nz7GiSpH60IA4A4HTsiIO+9LIj7vg4QKUbNqZnEHd0xMjyFAIAQMUYNn5k1/P6Y4eTJA0XCuIAAE5HEAd9eS9wa8y+HNh/zI44oOoMu6Auh1PfdXzsgpHlKwYAgIow8sLavJPGHmP1F7pHHADA6QjioC/vBXE1KWZM3s75OdBjHKDS1dQk7em+T1xh1MjyFQMAQEUYNSrZm+7PxcdSyLALh5axIgCAc5cgDvrS0JDO80qXbftAXukeHzmyPPUADICDNd1BXM3okeUrBACAinByENee4Rlxga+YAABOx7skOIPOC0ofLj6YHUmSw0Mbk9racpYE0K8O13TfJ67un0aWrxAAACrCyUHc/pyf4cP7+AEAgEFMEAdnUBxZ+nBxWf4nSXLkfPeHA6rLobrub00aLhpZvkIAAKgIJwdxBzIiI0aUsSAAgHOYIA7OoObCnjviiiMFcUB1OVLXvSPuvItHlq8QAAAqQn19sr9WEAcAcDYEcXAGdWN67ogrXDiqr9MBKk5HffeOuOGXjCxfIQAAVIyDQ7sXqbYXRqS+vozFAACcwwRxcAaF0T13xA0Za0ccUF2OCuIAAPgbdQzvXqR6sPb8MlYCAHBuE8TBmYwqfbhoyhtJkrePjkpnZzkLAuhfnQ3dl6a8YEJjGSsBAKBSHD2/O4g7PMR1KQEAeiOIgzN4aVfPS1Eu/Y/RmTQpWbmyPPUA9LejDaUdcX/N0Py/P9RbbAAAwBkda+z+rNxRL4gDAOiNIA76sHJl8m9P9wzi9mZU3ngj+Zd/EcYBlW/lyuRPr5SCuNp05ls3/MFiAwAAzujE+6d3NLg0JQBAbwRx0IvOzuQb30j2pGcQtyejUyyWnt91V+wcASrWypWlRQXvHCldmrIhHflCfmKxAQAAZ1R7QhB39Dw74gAAeiOIg15s3Ji0tZV2wJ3o+HGxmOzcWToPoNJ0dib/587X8pHiH9OYd7rG/zVP5Zripkwv/jHf+1+vWWwAAMBpDRk7uut551BBHABAb+rKXQCcq3btKj2eHMTtyejTngdQSTZuTF7YPemU8X/KW9mUa0sHu5L/u7GY5ub3tTQAACrAeeO6PyuPzp4yVgIAcG6zIw56MW5c6bG3HXEnnwdQSXbtSm7Lshw5aU1OTUrX3j2SutyWZRYbAABwWsPGNb73zjH54P7N5SwFAOCcZkcc9GL27KSpKXmn7fQ74gqF0vzs2eWoDuAfM25csjy35eX8c/cOuBN8LC/mvzI9X7bYAACAE732WvL225m4t5BiCimkmMve/n2yaVPpHg5jxiQTJ5a7SgCAc4YgDnpRW5ssWZJ8bu6pO+IKhdLzxYtL5wFUmuOLDQptpePO1KQ2x7oeC0kmTLDYAACAk0yalCS5PunaEXdex77k2hMWdxWLJ/8UAMCg5dKU0IeWlmT5ioYcLAxNknRkSNozPE1NyTPPlOYBKtHxxQZ/yUXZlYvzx1ybr+bf8sdcm125OH/JRRYbAABwqmXLkrr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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(22, 9))\n",
+    "smaller_rst = test_rst[test_rst.y_true <= 2000].reset_index(drop=True)\n",
+    "plt.plot(smaller_rst.y_pred, 'o-', color='b', label='预测值')\n",
+    "plt.plot(smaller_rst.y_true, '*-', color='r', label='真实值')\n",
+    "# for index in range(smaller_rst.shape[0]):\n",
+    "#     tmp_y = smaller_rst.iloc[index].y_true\n",
+    "#     tmp_yhat = smaller_rst.iloc[index].y_pred\n",
+    "#     plt.plot([index, index], [tmp_yhat, tmp_y], color='grey')\n",
+    "#     # print(f\"从({index}, {tmp_y}) 到 ({index},{tmp_yhat})\")\n",
+    "plt.legend(loc='best')\n",
+    "plt.title('低煤耗电厂预测结果（使用发电量、供热量）')\n",
+    "plt.savefig('./figure/smaller_1.png')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2200x900 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(22, 9))\n",
+    "larger_rst = test_rst[test_rst.y_true > 2000].reset_index(drop=True)\n",
+    "plt.plot(larger_rst.y_pred, 'o-', color='b', label='预测值')\n",
+    "plt.plot(larger_rst.y_true, '*-', color='r', label='真实值')\n",
+    "# for index in range(larger_rst.shape[0]):\n",
+    "#     tmp_y = larger_rst.iloc[index].y_true\n",
+    "#     tmp_yhat = larger_rst.iloc[index].y_pred\n",
+    "#     plt.plot([index, index], [tmp_yhat, tmp_y], color='grey')\n",
+    "#     # print(f\"从({index}, {tmp_y}) 到 ({index},{tmp_yhat})\")\n",
+    "plt.legend(loc='best')\n",
+    "plt.title('高煤耗电厂预测结果（使用发电量、供热量）')\n",
+    "plt.savefig('./figure/larger_1.png')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE: 2.92E+05\n",
+      "RMSE: 540.1489742426004\n",
+      "MAE: 414.12677797198677\n",
+      "MAPE: 0.07910283246319393\n",
+      "R_2: 0.9557298796435275\n"
+     ]
+    }
+   ],
+   "source": [
+    "y_pred_l = test_rst[test_rst.y_true > 2000].y_pred\n",
+    "y_true_l = test_rst[test_rst.y_true > 2000].y_true\n",
+    "MSE_l = mean_squared_error(y_true_l, y_pred_l)\n",
+    "RMSE_l = np.sqrt(mean_squared_error(y_true_l, y_pred_l))\n",
+    "MAE_l = mean_absolute_error(y_true_l, y_pred_l)\n",
+    "MAPE_l = mean_absolute_percentage_error(y_true_l, y_pred_l)\n",
+    "R_2_l = r2_score(y_true_l, y_pred_l)\n",
+    "print('MSE:', format(MSE_l, '.2E'))\n",
+    "print('RMSE:', RMSE_l)\n",
+    "print('MAE:', MAE_l)\n",
+    "print('MAPE:', MAPE_l)\n",
+    "print('R_2:', R_2_l)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE: 5.25E+02\n",
+      "RMSE: 22.90970315255905\n",
+      "MAE: 15.636471401761884\n",
+      "MAPE: 0.026197783962765748\n",
+      "R_2: 0.9611485658308001\n"
+     ]
+    }
+   ],
+   "source": [
+    "y_pred_s = test_rst[test_rst.y_true <= 2000].y_pred\n",
+    "y_true_s = test_rst[test_rst.y_true <= 2000].y_true\n",
+    "MSE_s = mean_squared_error(y_true_s, y_pred_s)\n",
+    "RMSE_s = np.sqrt(mean_squared_error(y_true_s, y_pred_s))\n",
+    "MAE_s = mean_absolute_error(y_true_s, y_pred_s)\n",
+    "MAPE_s = mean_absolute_percentage_error(y_true_s, y_pred_s)\n",
+    "R_2_s = r2_score(y_true_s, y_pred_s)\n",
+    "print('MSE:', format(MSE_s, '.2E'))\n",
+    "print('RMSE:', RMSE_s)\n",
+    "print('MAE:', MAE_s)\n",
+    "print('MAPE:', MAPE_s)\n",
+    "print('R_2:', R_2_s)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "outputs": [],
+   "source": [
+    "import seaborn as sns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [],
+   "source": [
+    "import matplotlib.ticker as ticker"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2800x1600 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feature_importance = pd.DataFrame()\n",
+    "feature_importance['fea_name'] = feature_cols\n",
+    "feature_importance['fea_imp'] = gbm.feature_importance(importance_type='split')\n",
+    "feature_importance = feature_importance.sort_values('fea_imp', ascending=False)\n",
+    "\n",
+    "plt.figure(figsize=[28, 16])\n",
+    "ax = sns.barplot(x=feature_importance['fea_name'], y=feature_importance['fea_imp'])\n",
+    "ax.set_xticklabels(labels=feature_importance['fea_name'], rotation=45, fontsize=14)\n",
+    "ax.yaxis.set_major_locator(ticker.MultipleLocator(1000))\n",
+    "plt.title('特征重要性（使用发电量、供热量）')\n",
+    "plt.xlabel('fea_name', fontsize=18)\n",
+    "plt.ylabel('fea_imp', fontsize=18)\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('./figure/电厂建模特征重要性1.png')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "              fea_name  fea_imp\n28           发电量（万千瓦时）     5672\n27             供热量（吉焦）     5377\n30       week_of_years     3692\n31               c_SO2     2660\n17               c_NO2     2447\n8                 flow     2336\n24             c_smoke     2320\n2              燃料类型_褐煤      387\n6              压力参数_高压      321\n9          num_workers      151\n5        day_of_week_1      133\n0        day_of_week_5       62\n7        day_of_week_4       59\n10               额定蒸发量       58\n4        day_of_week_7       26\n20       day_of_week_6       23\n16       day_of_week_3       22\n26       day_of_week_2       20\n12        冷却方式_水冷-闭式循环        4\n3          燃料类型_低挥发分烟煤        3\n11         低位发热量（GJ/t）        2\n19            压力参数_超临界        0\n18           压力参数_超超临界        0\n21            压力参数_亚临界        0\n13           汽轮机类型_抽凝式        0\n23        冷却方式_空冷-直接空冷        0\n25         生产设备类型_煤粉锅炉        0\n1            燃料类型_一般烟煤        0\n15        燃料类型_中高挥发分烟煤        0\n14           汽轮机类型_背压式        0\n29                 总容量        0\n22  生产设备类型_高温高压循环流化床锅炉        0",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>fea_name</th>\n      <th>fea_imp</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>28</th>\n      <td>发电量（万千瓦时）</td>\n      <td>5672</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>供热量（吉焦）</td>\n      <td>5377</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>week_of_years</td>\n      <td>3692</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>c_SO2</td>\n      <td>2660</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>c_NO2</td>\n      <td>2447</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>flow</td>\n      <td>2336</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>c_smoke</td>\n      <td>2320</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>燃料类型_褐煤</td>\n      <td>387</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>压力参数_高压</td>\n      <td>321</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>num_workers</td>\n      <td>151</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>day_of_week_1</td>\n      <td>133</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>day_of_week_5</td>\n      <td>62</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>day_of_week_4</td>\n      <td>59</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>额定蒸发量</td>\n      <td>58</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>day_of_week_7</td>\n      <td>26</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>day_of_week_6</td>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>day_of_week_3</td>\n      <td>22</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>day_of_week_2</td>\n      <td>20</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>冷却方式_水冷-闭式循环</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>燃料类型_低挥发分烟煤</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>低位发热量（GJ/t）</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>压力参数_超临界</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>压力参数_超超临界</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>压力参数_亚临界</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>汽轮机类型_抽凝式</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>冷却方式_空冷-直接空冷</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>生产设备类型_煤粉锅炉</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>燃料类型_一般烟煤</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>燃料类型_中高挥发分烟煤</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>汽轮机类型_背压式</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>总容量</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>生产设备类型_高温高压循环流化床锅炉</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feature_importance"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
    "outputs": [],
    "source": [],
    "metadata": {
diff --git a/使用lightgbm对机组特征建模.ipynb b/使用lightgbm对机组特征建模.ipynb
new file mode 100644
index 0000000..3eccc27
--- /dev/null
+++ b/使用lightgbm对机组特征建模.ipynb
@@ -0,0 +1,2340 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import lightgbm as lgb\n",
+    "import numpy as np\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import mean_absolute_error, mean_squared_error, mean_absolute_percentage_error, r2_score\n",
+    "import datetime as dt\n",
+    "import matplotlib.pyplot as plt\n",
+    "#新增加的两行\n",
+    "from pylab import mpl\n",
+    "# 设置显示中文字体\n",
+    "mpl.rcParams[\"font.sans-serif\"] = [\"SimHei\"]\n",
+    "\n",
+    "mpl.rcParams[\"axes.unicode_minus\"] = False"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "ori_data = pd.read_csv('data/unit_train_data.csv')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "ori_data['day_of_week'] = ori_data.days.apply(lambda x: dt.datetime.strptime(x, '%Y-%m-%d').weekday() + 1)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [],
+   "source": [
+    "data = ori_data.drop(columns=['days', 'day_of_year', '企业名称'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "           r_O2  temperature  发电量（万千瓦时）  供热量（吉焦）       c_smoke         c_NO2  \\\n0      9.900000    51.250000    15.6796  6536.83  2.872405e+04  3.979907e+06   \n1      9.400000    50.679167    13.3984  2484.64  2.261807e+04  2.639425e+06   \n2      8.550000    52.808333    13.4023  3020.83  1.817677e+04  3.231672e+06   \n3     10.202083    48.854167    12.4765  5599.23  9.161746e+04  2.243444e+06   \n4     11.497917    45.783333    13.4414  4702.65  2.995257e+05  3.580802e+06   \n...         ...          ...        ...      ...           ...           ...   \n1486   6.329167    44.741667   467.1060     0.00  1.020390e+06  1.173919e+07   \n1487   6.183333    45.587500   504.9000     0.00  1.169393e+06  1.393048e+07   \n1488   6.425000    45.545833   462.8220     0.00  1.124243e+06  1.267043e+07   \n1489   6.162500    45.175000   528.9600     0.00  1.296293e+06  1.442430e+07   \n1490   5.570833    46.100000   672.1800     0.00  1.554891e+06  1.758048e+07   \n\n             c_SO2           flow  燃料消耗量（吨）       生产设备类型     燃料类型  \\\n0     7.665088e+05  162345.192917     323.0  高温高压循环流化床锅炉  中高挥发分烟煤   \n1     5.183845e+05  140175.330833     218.0  高温高压循环流化床锅炉  中高挥发分烟煤   \n2     9.870800e+05  154686.184167     212.0  高温高压循环流化床锅炉  中高挥发分烟煤   \n3     2.880779e+05  120345.545833     223.0  高温高压循环流化床锅炉  中高挥发分烟煤   \n4     5.500482e+04  162533.103542     243.0  高温高压循环流化床锅炉  中高挥发分烟煤   \n...            ...            ...       ...          ...      ...   \n1486  1.101318e+07  836100.000000    2401.0         煤粉锅炉     一般烟煤   \n1487  1.335698e+07  895515.000000    2611.0         煤粉锅炉     一般烟煤   \n1488  1.129934e+07  837945.000000    2846.0         煤粉锅炉     一般烟煤   \n1489  1.434195e+07  915030.000000    2981.0         煤粉锅炉     一般烟煤   \n1490  1.593381e+07  992220.000000    3560.0         煤粉锅炉     一般烟煤   \n\n      低位发热量（GJ/t） 汽轮机类型     冷却方式   额定蒸发量 压力参数   单机容量  week_of_year  \\\n0          20.501   背压式  水冷-闭式循环   230.0   高压   30.0            39   \n1          20.501   背压式  水冷-闭式循环   230.0   高压   30.0            39   \n2          20.501   背压式  水冷-闭式循环   230.0   高压   30.0            39   \n3          20.501   背压式  水冷-闭式循环   230.0   高压   30.0            39   \n4          20.501   背压式  水冷-闭式循环   230.0   高压   30.0            39   \n...           ...   ...      ...     ...  ...    ...           ...   \n1486       14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0            20   \n1487       14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0            21   \n1488       14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0            21   \n1489       14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0            21   \n1490       14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0            21   \n\n      day_of_week  \n0               1  \n1               2  \n2               3  \n3               4  \n4               5  \n...           ...  \n1486            5  \n1487            6  \n1488            7  \n1489            1  \n1490            2  \n\n[1254 rows x 19 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>r_O2</th>\n      <th>temperature</th>\n      <th>发电量（万千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>燃料消耗量（吨）</th>\n      <th>生产设备类型</th>\n      <th>燃料类型</th>\n      <th>低位发热量（GJ/t）</th>\n      <th>汽轮机类型</th>\n      <th>冷却方式</th>\n      <th>额定蒸发量</th>\n      <th>压力参数</th>\n      <th>单机容量</th>\n      <th>week_of_year</th>\n      <th>day_of_week</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>15.6796</td>\n      <td>6536.83</td>\n      <td>2.872405e+04</td>\n      <td>3.979907e+06</td>\n      <td>7.665088e+05</td>\n      <td>162345.192917</td>\n      <td>323.0</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230.0</td>\n      <td>高压</td>\n      <td>30.0</td>\n      <td>39</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>13.3984</td>\n      <td>2484.64</td>\n      <td>2.261807e+04</td>\n      <td>2.639425e+06</td>\n      <td>5.183845e+05</td>\n      <td>140175.330833</td>\n      <td>218.0</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230.0</td>\n      <td>高压</td>\n      <td>30.0</td>\n      <td>39</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>13.4023</td>\n      <td>3020.83</td>\n      <td>1.817677e+04</td>\n      <td>3.231672e+06</td>\n      <td>9.870800e+05</td>\n      <td>154686.184167</td>\n      <td>212.0</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230.0</td>\n      <td>高压</td>\n      <td>30.0</td>\n      <td>39</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>12.4765</td>\n      <td>5599.23</td>\n      <td>9.161746e+04</td>\n      <td>2.243444e+06</td>\n      <td>2.880779e+05</td>\n      <td>120345.545833</td>\n      <td>223.0</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230.0</td>\n      <td>高压</td>\n      <td>30.0</td>\n      <td>39</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>13.4414</td>\n      <td>4702.65</td>\n      <td>2.995257e+05</td>\n      <td>3.580802e+06</td>\n      <td>5.500482e+04</td>\n      <td>162533.103542</td>\n      <td>243.0</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230.0</td>\n      <td>高压</td>\n      <td>30.0</td>\n      <td>39</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1486</th>\n      <td>6.329167</td>\n      <td>44.741667</td>\n      <td>467.1060</td>\n      <td>0.00</td>\n      <td>1.020390e+06</td>\n      <td>1.173919e+07</td>\n      <td>1.101318e+07</td>\n      <td>836100.000000</td>\n      <td>2401.0</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>20</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>1487</th>\n      <td>6.183333</td>\n      <td>45.587500</td>\n      <td>504.9000</td>\n      <td>0.00</td>\n      <td>1.169393e+06</td>\n      <td>1.393048e+07</td>\n      <td>1.335698e+07</td>\n      <td>895515.000000</td>\n      <td>2611.0</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>21</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>1488</th>\n      <td>6.425000</td>\n      <td>45.545833</td>\n      <td>462.8220</td>\n      <td>0.00</td>\n      <td>1.124243e+06</td>\n      <td>1.267043e+07</td>\n      <td>1.129934e+07</td>\n      <td>837945.000000</td>\n      <td>2846.0</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>21</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>1489</th>\n      <td>6.162500</td>\n      <td>45.175000</td>\n      <td>528.9600</td>\n      <td>0.00</td>\n      <td>1.296293e+06</td>\n      <td>1.442430e+07</td>\n      <td>1.434195e+07</td>\n      <td>915030.000000</td>\n      <td>2981.0</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>21</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1490</th>\n      <td>5.570833</td>\n      <td>46.100000</td>\n      <td>672.1800</td>\n      <td>0.00</td>\n      <td>1.554891e+06</td>\n      <td>1.758048e+07</td>\n      <td>1.593381e+07</td>\n      <td>992220.000000</td>\n      <td>3560.0</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>21</td>\n      <td>2</td>\n    </tr>\n  </tbody>\n</table>\n<p>1254 rows × 19 columns</p>\n</div>"
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = data[data['燃料消耗量（吨）']>0].dropna()\n",
+    "data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "['r_O2',\n 'temperature',\n '发电量（万千瓦时）',\n '供热量（吉焦）',\n 'c_smoke',\n 'c_NO2',\n 'c_SO2',\n 'flow',\n '燃料消耗量（吨）',\n '低位发热量（GJ/t）',\n '额定蒸发量',\n '单机容量',\n 'week_of_year']"
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "object_cols = ['生产设备类型', '燃料类型', '汽轮机类型', '冷却方式', '压力参数', 'day_of_week']\n",
+    "num_cols = [x for x in data.columns if x not in object_cols]\n",
+    "num_cols"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [],
+   "source": [
+    "for col in num_cols:\n",
+    "    minus_index = data[data[col]<0].index.values\n",
+    "    data.loc[minus_index, col] = 0\n",
+    "    data[col] = np.log1p(data[col])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2000x2000 with 19 Axes>",
+      "image/png": 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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(20, 20))\n",
+    "for index, col in enumerate(object_cols+num_cols):\n",
+    "    plt.subplot(4,5,index+1)\n",
+    "    plt.title(col)\n",
+    "    # if col in object_cols:\n",
+    "    #     plt.bar(data['燃料类型'].value_counts().index, data['燃料类型'].value_counts().values)\n",
+    "    # else:\n",
+    "    plt.hist(data[col])\n",
+    "plt.savefig('figure/特征分析.png')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [],
+   "source": [
+    "use_data = pd.get_dummies(data.drop(columns=['r_O2', 'temperature']), columns=object_cols)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "['day_of_week_3',\n '汽轮机类型_背压式',\n 'day_of_week_6',\n 'day_of_week_5',\n '额定蒸发量',\n '低位发热量（GJ/t）',\n '生产设备类型_煤粉锅炉',\n 'day_of_week_7',\n 'day_of_week_1',\n 'day_of_week_2',\n 'c_SO2',\n '燃料类型_低挥发分烟煤',\n 'day_of_week_4',\n '生产设备类型_高温高压循环流化床锅炉',\n '燃料类型_中高挥发分烟煤',\n '单机容量',\n '压力参数_超临界',\n 'c_smoke',\n 'flow',\n 'week_of_year',\n '燃料类型_一般烟煤',\n '压力参数_超超临界',\n '汽轮机类型_抽凝式',\n '冷却方式_水冷-闭式循环',\n '压力参数_高压',\n 'c_NO2']"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# feature_cols = [x for x in use_data.columns if x != '燃料消耗量（吨）']\n",
+    "feature_cols = [x for x in use_data.columns if x not in ['发电量（万千瓦时）', '供热量（吉焦）', '燃料消耗量（吨）']]\n",
+    "np.random.shuffle(feature_cols)\n",
+    "feature_cols"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [],
+   "source": [
+    "train_data, valid = train_test_split(use_data, test_size=0.2, shuffle=True, random_state=666)\n",
+    "valid_data, test_data = train_test_split(valid, test_size=0.5, shuffle=True, random_state=666)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [],
+   "source": [
+    "X_train, Y_train = train_data[feature_cols], train_data['燃料消耗量（吨）']\n",
+    "X_valid, Y_valid = valid_data[feature_cols], valid_data['燃料消耗量（吨）']\n",
+    "X_test, Y_test = test_data[feature_cols], test_data['燃料消耗量（吨）']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "outputs": [],
+   "source": [
+    "lgb_train = lgb.Dataset(X_train, Y_train)\n",
+    "lgb_eval = lgb.Dataset(X_valid, Y_valid)\n",
+    "lgb_test = lgb.Dataset(X_test, Y_test)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "outputs": [],
+   "source": [
+    "params = {\n",
+    "    'task': 'train',\n",
+    "    'boosting_type': 'gbdt',  # 设置提升类型\n",
+    "    'objective': 'regression_l2',  # 目标函数\n",
+    "    'metric': {'rmse'},  # 评估函数\n",
+    "    'max_depth': 10,\n",
+    "    'num_leaves': 31,  # 叶子节点数\n",
+    "    'learning_rate': 0.005,  # 学习速率\n",
+    "    'feature_fraction': 0.9,  # 建树的特征选择比例\n",
+    "    'bagging_fraction': 0.8,  # 建树的样本采样比例\n",
+    "    'bagging_freq': 5,  # k 意味着每 k 次迭代执行bagging\n",
+    "    'verbose': -1  # <0 显示致命的, =0 显示错误 (警告), >0 显示信息\n",
+    "}"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1]\tvalid_0's rmse: 0.619783\n",
+      "Training until validation scores don't improve for 100 rounds\n",
+      "[2]\tvalid_0's rmse: 0.617031\n",
+      "[3]\tvalid_0's rmse: 0.614294\n",
+      "[4]\tvalid_0's rmse: 0.611572\n",
+      "[5]\tvalid_0's rmse: 0.608865\n",
+      "[6]\tvalid_0's rmse: 0.606158\n",
+      "[7]\tvalid_0's rmse: 0.603466\n",
+      "[8]\tvalid_0's rmse: 0.600814\n",
+      "[9]\tvalid_0's rmse: 0.598151\n",
+      "[10]\tvalid_0's rmse: 0.595503\n",
+      "[11]\tvalid_0's rmse: 0.592866\n",
+      "[12]\tvalid_0's rmse: 0.590287\n",
+      "[13]\tvalid_0's rmse: 0.587678\n",
+      "[14]\tvalid_0's rmse: 0.585082\n",
+      "[15]\tvalid_0's rmse: 0.582545\n",
+      "[16]\tvalid_0's rmse: 0.579979\n",
+      "[17]\tvalid_0's rmse: 0.577427\n",
+      "[18]\tvalid_0's rmse: 0.574889\n",
+      "[19]\tvalid_0's rmse: 0.572365\n",
+      "[20]\tvalid_0's rmse: 0.569854\n",
+      "[21]\tvalid_0's rmse: 0.567376\n",
+      "[22]\tvalid_0's rmse: 0.564911\n",
+      "[23]\tvalid_0's rmse: 0.562463\n",
+      "[24]\tvalid_0's rmse: 0.560027\n",
+      "[25]\tvalid_0's rmse: 0.557602\n",
+      "[26]\tvalid_0's rmse: 0.555143\n",
+      "[27]\tvalid_0's rmse: 0.552698\n",
+      "[28]\tvalid_0's rmse: 0.550265\n",
+      "[29]\tvalid_0's rmse: 0.547893\n",
+      "[30]\tvalid_0's rmse: 0.545487\n",
+      "[31]\tvalid_0's rmse: 0.543116\n",
+      "[32]\tvalid_0's rmse: 0.54079\n",
+      "[33]\tvalid_0's rmse: 0.538434\n",
+      "[34]\tvalid_0's rmse: 0.536101\n",
+      "[35]\tvalid_0's rmse: 0.533775\n",
+      "[36]\tvalid_0's rmse: 0.531488\n",
+      "[37]\tvalid_0's rmse: 0.529221\n",
+      "[38]\tvalid_0's rmse: 0.52696\n",
+      "[39]\tvalid_0's rmse: 0.524734\n",
+      "[40]\tvalid_0's rmse: 0.522497\n",
+      "[41]\tvalid_0's rmse: 0.52024\n",
+      "[42]\tvalid_0's rmse: 0.517995\n",
+      "[43]\tvalid_0's rmse: 0.515746\n",
+      "[44]\tvalid_0's rmse: 0.513525\n",
+      "[45]\tvalid_0's rmse: 0.511317\n",
+      "[46]\tvalid_0's rmse: 0.509117\n",
+      "[47]\tvalid_0's rmse: 0.50695\n",
+      "[48]\tvalid_0's rmse: 0.504751\n",
+      "[49]\tvalid_0's rmse: 0.502583\n",
+      "[50]\tvalid_0's rmse: 0.500458\n",
+      "[51]\tvalid_0's rmse: 0.498381\n",
+      "[52]\tvalid_0's rmse: 0.496333\n",
+      "[53]\tvalid_0's rmse: 0.494242\n",
+      "[54]\tvalid_0's rmse: 0.492194\n",
+      "[55]\tvalid_0's rmse: 0.49018\n",
+      "[56]\tvalid_0's rmse: 0.488205\n",
+      "[57]\tvalid_0's rmse: 0.486212\n",
+      "[58]\tvalid_0's rmse: 0.484243\n",
+      "[59]\tvalid_0's rmse: 0.48227\n",
+      "[60]\tvalid_0's rmse: 0.48031\n",
+      "[61]\tvalid_0's rmse: 0.478283\n",
+      "[62]\tvalid_0's rmse: 0.476267\n",
+      "[63]\tvalid_0's rmse: 0.474262\n",
+      "[64]\tvalid_0's rmse: 0.472269\n",
+      "[65]\tvalid_0's rmse: 0.470281\n",
+      "[66]\tvalid_0's rmse: 0.468313\n",
+      "[67]\tvalid_0's rmse: 0.466414\n",
+      "[68]\tvalid_0's rmse: 0.464465\n",
+      "[69]\tvalid_0's rmse: 0.462515\n",
+      "[70]\tvalid_0's rmse: 0.460588\n",
+      "[71]\tvalid_0's rmse: 0.458701\n",
+      "[72]\tvalid_0's rmse: 0.45682\n",
+      "[73]\tvalid_0's rmse: 0.454947\n",
+      "[74]\tvalid_0's rmse: 0.453091\n",
+      "[75]\tvalid_0's rmse: 0.451269\n",
+      "[76]\tvalid_0's rmse: 0.449393\n",
+      "[77]\tvalid_0's rmse: 0.447497\n",
+      "[78]\tvalid_0's rmse: 0.445613\n",
+      "[79]\tvalid_0's rmse: 0.443803\n",
+      "[80]\tvalid_0's rmse: 0.442004\n",
+      "[81]\tvalid_0's rmse: 0.440201\n",
+      "[82]\tvalid_0's rmse: 0.438408\n",
+      "[83]\tvalid_0's rmse: 0.436629\n",
+      "[84]\tvalid_0's rmse: 0.43486\n",
+      "[85]\tvalid_0's rmse: 0.433098\n",
+      "[86]\tvalid_0's rmse: 0.431378\n",
+      "[87]\tvalid_0's rmse: 0.429625\n",
+      "[88]\tvalid_0's rmse: 0.427891\n",
+      "[89]\tvalid_0's rmse: 0.426163\n",
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+      "[91]\tvalid_0's rmse: 0.422746\n",
+      "[92]\tvalid_0's rmse: 0.421041\n",
+      "[93]\tvalid_0's rmse: 0.419345\n",
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+      "[95]\tvalid_0's rmse: 0.415965\n",
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+      "[102]\tvalid_0's rmse: 0.404362\n",
+      "[103]\tvalid_0's rmse: 0.402735\n",
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+      "[106]\tvalid_0's rmse: 0.397949\n",
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+      "[112]\tvalid_0's rmse: 0.38871\n",
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+      "[114]\tvalid_0's rmse: 0.385714\n",
+      "[115]\tvalid_0's rmse: 0.384217\n",
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+      "[117]\tvalid_0's rmse: 0.381114\n",
+      "[118]\tvalid_0's rmse: 0.379577\n",
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+      "[122]\tvalid_0's rmse: 0.373638\n",
+      "[123]\tvalid_0's rmse: 0.372202\n",
+      "[124]\tvalid_0's rmse: 0.370773\n",
+      "[125]\tvalid_0's rmse: 0.369354\n",
+      "[126]\tvalid_0's rmse: 0.36794\n",
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+      "[128]\tvalid_0's rmse: 0.365117\n",
+      "[129]\tvalid_0's rmse: 0.363727\n",
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+      "[132]\tvalid_0's rmse: 0.359689\n",
+      "[133]\tvalid_0's rmse: 0.358416\n",
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+      "[137]\tvalid_0's rmse: 0.353265\n",
+      "[138]\tvalid_0's rmse: 0.351998\n",
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+      "[711]\tvalid_0's rmse: 0.151444\n",
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+      "[714]\tvalid_0's rmse: 0.151317\n",
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+      "[716]\tvalid_0's rmse: 0.151228\n",
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+      "[719]\tvalid_0's rmse: 0.151113\n",
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+      "[721]\tvalid_0's rmse: 0.151058\n",
+      "[722]\tvalid_0's rmse: 0.15104\n",
+      "[723]\tvalid_0's rmse: 0.150994\n",
+      "[724]\tvalid_0's rmse: 0.150972\n",
+      "[725]\tvalid_0's rmse: 0.150956\n",
+      "[726]\tvalid_0's rmse: 0.150933\n",
+      "[727]\tvalid_0's rmse: 0.1509\n",
+      "[728]\tvalid_0's rmse: 0.150878\n",
+      "[729]\tvalid_0's rmse: 0.150858\n",
+      "[730]\tvalid_0's rmse: 0.150836\n",
+      "[731]\tvalid_0's rmse: 0.150799\n",
+      "[732]\tvalid_0's rmse: 0.150742\n",
+      "[733]\tvalid_0's rmse: 0.150679\n",
+      "[734]\tvalid_0's rmse: 0.150623\n",
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+      "[736]\tvalid_0's rmse: 0.150528\n",
+      "[737]\tvalid_0's rmse: 0.150481\n",
+      "[738]\tvalid_0's rmse: 0.150439\n",
+      "[739]\tvalid_0's rmse: 0.150397\n",
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+      "[744]\tvalid_0's rmse: 0.150401\n",
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+      "[746]\tvalid_0's rmse: 0.150402\n",
+      "[747]\tvalid_0's rmse: 0.150365\n",
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+      "[1064]\tvalid_0's rmse: 0.146196\n",
+      "[1065]\tvalid_0's rmse: 0.146207\n",
+      "[1066]\tvalid_0's rmse: 0.146199\n",
+      "[1067]\tvalid_0's rmse: 0.146204\n",
+      "[1068]\tvalid_0's rmse: 0.146209\n",
+      "[1069]\tvalid_0's rmse: 0.146212\n",
+      "[1070]\tvalid_0's rmse: 0.146216\n",
+      "[1071]\tvalid_0's rmse: 0.146191\n",
+      "[1072]\tvalid_0's rmse: 0.146175\n",
+      "[1073]\tvalid_0's rmse: 0.146162\n",
+      "[1074]\tvalid_0's rmse: 0.146146\n",
+      "[1075]\tvalid_0's rmse: 0.146136\n",
+      "[1076]\tvalid_0's rmse: 0.146116\n",
+      "[1077]\tvalid_0's rmse: 0.146097\n",
+      "[1078]\tvalid_0's rmse: 0.146073\n",
+      "[1079]\tvalid_0's rmse: 0.146055\n",
+      "[1080]\tvalid_0's rmse: 0.146036\n",
+      "[1081]\tvalid_0's rmse: 0.146056\n",
+      "[1082]\tvalid_0's rmse: 0.146086\n",
+      "[1083]\tvalid_0's rmse: 0.146115\n",
+      "[1084]\tvalid_0's rmse: 0.146145\n",
+      "[1085]\tvalid_0's rmse: 0.146165\n",
+      "[1086]\tvalid_0's rmse: 0.146145\n",
+      "[1087]\tvalid_0's rmse: 0.14614\n",
+      "[1088]\tvalid_0's rmse: 0.146117\n",
+      "[1089]\tvalid_0's rmse: 0.146137\n",
+      "[1090]\tvalid_0's rmse: 0.146113\n",
+      "[1091]\tvalid_0's rmse: 0.146099\n",
+      "[1092]\tvalid_0's rmse: 0.146091\n",
+      "[1093]\tvalid_0's rmse: 0.146081\n",
+      "[1094]\tvalid_0's rmse: 0.146057\n",
+      "[1095]\tvalid_0's rmse: 0.146033\n",
+      "[1096]\tvalid_0's rmse: 0.146009\n",
+      "[1097]\tvalid_0's rmse: 0.145993\n",
+      "[1098]\tvalid_0's rmse: 0.145964\n",
+      "[1099]\tvalid_0's rmse: 0.145941\n",
+      "[1100]\tvalid_0's rmse: 0.145926\n",
+      "[1101]\tvalid_0's rmse: 0.145928\n",
+      "[1102]\tvalid_0's rmse: 0.145882\n",
+      "[1103]\tvalid_0's rmse: 0.145863\n",
+      "[1104]\tvalid_0's rmse: 0.145824\n",
+      "[1105]\tvalid_0's rmse: 0.14581\n",
+      "[1106]\tvalid_0's rmse: 0.145787\n",
+      "[1107]\tvalid_0's rmse: 0.145791\n",
+      "[1108]\tvalid_0's rmse: 0.145811\n",
+      "[1109]\tvalid_0's rmse: 0.145814\n",
+      "[1110]\tvalid_0's rmse: 0.145793\n",
+      "[1111]\tvalid_0's rmse: 0.145801\n",
+      "[1112]\tvalid_0's rmse: 0.145802\n",
+      "[1113]\tvalid_0's rmse: 0.145811\n",
+      "[1114]\tvalid_0's rmse: 0.145811\n",
+      "[1115]\tvalid_0's rmse: 0.145822\n",
+      "[1116]\tvalid_0's rmse: 0.145806\n",
+      "[1117]\tvalid_0's rmse: 0.145791\n",
+      "[1118]\tvalid_0's rmse: 0.145777\n",
+      "[1119]\tvalid_0's rmse: 0.145792\n",
+      "[1120]\tvalid_0's rmse: 0.145778\n",
+      "[1121]\tvalid_0's rmse: 0.145792\n",
+      "[1122]\tvalid_0's rmse: 0.14577\n",
+      "[1123]\tvalid_0's rmse: 0.145749\n",
+      "[1124]\tvalid_0's rmse: 0.145727\n",
+      "[1125]\tvalid_0's rmse: 0.145706\n",
+      "[1126]\tvalid_0's rmse: 0.145681\n",
+      "[1127]\tvalid_0's rmse: 0.145657\n",
+      "[1128]\tvalid_0's rmse: 0.145649\n",
+      "[1129]\tvalid_0's rmse: 0.145625\n",
+      "[1130]\tvalid_0's rmse: 0.145602\n",
+      "[1131]\tvalid_0's rmse: 0.14559\n",
+      "[1132]\tvalid_0's rmse: 0.145585\n",
+      "[1133]\tvalid_0's rmse: 0.14558\n",
+      "[1134]\tvalid_0's rmse: 0.145575\n",
+      "[1135]\tvalid_0's rmse: 0.14557\n",
+      "[1136]\tvalid_0's rmse: 0.145549\n",
+      "[1137]\tvalid_0's rmse: 0.145536\n",
+      "[1138]\tvalid_0's rmse: 0.145521\n",
+      "[1139]\tvalid_0's rmse: 0.145519\n",
+      "[1140]\tvalid_0's rmse: 0.1455\n",
+      "[1141]\tvalid_0's rmse: 0.145503\n",
+      "[1142]\tvalid_0's rmse: 0.145501\n",
+      "[1143]\tvalid_0's rmse: 0.145463\n",
+      "[1144]\tvalid_0's rmse: 0.145473\n",
+      "[1145]\tvalid_0's rmse: 0.145472\n",
+      "[1146]\tvalid_0's rmse: 0.145466\n",
+      "[1147]\tvalid_0's rmse: 0.14546\n",
+      "[1148]\tvalid_0's rmse: 0.145455\n",
+      "[1149]\tvalid_0's rmse: 0.145449\n",
+      "[1150]\tvalid_0's rmse: 0.145437\n",
+      "[1151]\tvalid_0's rmse: 0.145413\n",
+      "[1152]\tvalid_0's rmse: 0.145386\n",
+      "[1153]\tvalid_0's rmse: 0.145361\n",
+      "[1154]\tvalid_0's rmse: 0.145366\n",
+      "[1155]\tvalid_0's rmse: 0.145343\n",
+      "[1156]\tvalid_0's rmse: 0.145344\n",
+      "[1157]\tvalid_0's rmse: 0.145346\n",
+      "[1158]\tvalid_0's rmse: 0.145348\n",
+      "[1159]\tvalid_0's rmse: 0.145351\n",
+      "[1160]\tvalid_0's rmse: 0.145354\n",
+      "[1161]\tvalid_0's rmse: 0.145326\n",
+      "[1162]\tvalid_0's rmse: 0.1453\n",
+      "[1163]\tvalid_0's rmse: 0.145295\n",
+      "[1164]\tvalid_0's rmse: 0.145304\n",
+      "[1165]\tvalid_0's rmse: 0.145279\n",
+      "[1166]\tvalid_0's rmse: 0.145267\n",
+      "[1167]\tvalid_0's rmse: 0.145225\n",
+      "[1168]\tvalid_0's rmse: 0.145217\n",
+      "[1169]\tvalid_0's rmse: 0.145233\n",
+      "[1170]\tvalid_0's rmse: 0.14525\n",
+      "[1171]\tvalid_0's rmse: 0.14524\n",
+      "[1172]\tvalid_0's rmse: 0.145241\n",
+      "[1173]\tvalid_0's rmse: 0.14523\n",
+      "[1174]\tvalid_0's rmse: 0.14522\n",
+      "[1175]\tvalid_0's rmse: 0.145201\n",
+      "[1176]\tvalid_0's rmse: 0.145181\n",
+      "[1177]\tvalid_0's rmse: 0.145188\n",
+      "[1178]\tvalid_0's rmse: 0.145194\n",
+      "[1179]\tvalid_0's rmse: 0.145201\n",
+      "[1180]\tvalid_0's rmse: 0.145201\n",
+      "[1181]\tvalid_0's rmse: 0.145194\n",
+      "[1182]\tvalid_0's rmse: 0.145175\n",
+      "[1183]\tvalid_0's rmse: 0.145161\n",
+      "[1184]\tvalid_0's rmse: 0.145145\n",
+      "[1185]\tvalid_0's rmse: 0.145119\n",
+      "[1186]\tvalid_0's rmse: 0.145115\n",
+      "[1187]\tvalid_0's rmse: 0.145112\n",
+      "[1188]\tvalid_0's rmse: 0.145139\n",
+      "[1189]\tvalid_0's rmse: 0.145167\n",
+      "[1190]\tvalid_0's rmse: 0.145195\n",
+      "[1191]\tvalid_0's rmse: 0.145197\n",
+      "[1192]\tvalid_0's rmse: 0.145199\n",
+      "[1193]\tvalid_0's rmse: 0.145202\n",
+      "[1194]\tvalid_0's rmse: 0.145205\n",
+      "[1195]\tvalid_0's rmse: 0.145215\n",
+      "[1196]\tvalid_0's rmse: 0.145211\n",
+      "[1197]\tvalid_0's rmse: 0.145198\n",
+      "[1198]\tvalid_0's rmse: 0.145174\n",
+      "[1199]\tvalid_0's rmse: 0.145155\n",
+      "[1200]\tvalid_0's rmse: 0.145154\n",
+      "[1201]\tvalid_0's rmse: 0.145154\n",
+      "[1202]\tvalid_0's rmse: 0.145148\n",
+      "[1203]\tvalid_0's rmse: 0.145146\n",
+      "[1204]\tvalid_0's rmse: 0.145139\n",
+      "[1205]\tvalid_0's rmse: 0.145133\n",
+      "[1206]\tvalid_0's rmse: 0.14512\n",
+      "[1207]\tvalid_0's rmse: 0.145098\n",
+      "[1208]\tvalid_0's rmse: 0.145101\n",
+      "[1209]\tvalid_0's rmse: 0.145078\n",
+      "[1210]\tvalid_0's rmse: 0.145083\n",
+      "[1211]\tvalid_0's rmse: 0.145073\n",
+      "[1212]\tvalid_0's rmse: 0.145056\n",
+      "[1213]\tvalid_0's rmse: 0.145033\n",
+      "[1214]\tvalid_0's rmse: 0.145016\n",
+      "[1215]\tvalid_0's rmse: 0.144999\n",
+      "[1216]\tvalid_0's rmse: 0.145006\n",
+      "[1217]\tvalid_0's rmse: 0.144994\n",
+      "[1218]\tvalid_0's rmse: 0.144999\n",
+      "[1219]\tvalid_0's rmse: 0.145004\n",
+      "[1220]\tvalid_0's rmse: 0.145005\n",
+      "[1221]\tvalid_0's rmse: 0.144999\n",
+      "[1222]\tvalid_0's rmse: 0.144964\n",
+      "[1223]\tvalid_0's rmse: 0.144958\n",
+      "[1224]\tvalid_0's rmse: 0.144952\n",
+      "[1225]\tvalid_0's rmse: 0.144926\n",
+      "[1226]\tvalid_0's rmse: 0.144926\n",
+      "[1227]\tvalid_0's rmse: 0.144924\n",
+      "[1228]\tvalid_0's rmse: 0.14494\n",
+      "[1229]\tvalid_0's rmse: 0.144968\n",
+      "[1230]\tvalid_0's rmse: 0.144992\n",
+      "[1231]\tvalid_0's rmse: 0.144984\n",
+      "[1232]\tvalid_0's rmse: 0.144979\n",
+      "[1233]\tvalid_0's rmse: 0.144995\n",
+      "[1234]\tvalid_0's rmse: 0.144976\n",
+      "[1235]\tvalid_0's rmse: 0.144958\n",
+      "[1236]\tvalid_0's rmse: 0.144964\n",
+      "[1237]\tvalid_0's rmse: 0.144964\n",
+      "[1238]\tvalid_0's rmse: 0.14496\n",
+      "[1239]\tvalid_0's rmse: 0.144966\n",
+      "[1240]\tvalid_0's rmse: 0.144962\n",
+      "[1241]\tvalid_0's rmse: 0.144973\n",
+      "[1242]\tvalid_0's rmse: 0.14495\n",
+      "[1243]\tvalid_0's rmse: 0.144955\n",
+      "[1244]\tvalid_0's rmse: 0.144955\n",
+      "[1245]\tvalid_0's rmse: 0.144955\n",
+      "[1246]\tvalid_0's rmse: 0.144929\n",
+      "[1247]\tvalid_0's rmse: 0.144896\n",
+      "[1248]\tvalid_0's rmse: 0.144874\n",
+      "[1249]\tvalid_0's rmse: 0.144852\n",
+      "[1250]\tvalid_0's rmse: 0.144869\n",
+      "[1251]\tvalid_0's rmse: 0.144882\n",
+      "[1252]\tvalid_0's rmse: 0.144905\n",
+      "[1253]\tvalid_0's rmse: 0.144917\n",
+      "[1254]\tvalid_0's rmse: 0.144935\n",
+      "[1255]\tvalid_0's rmse: 0.144945\n",
+      "[1256]\tvalid_0's rmse: 0.144947\n",
+      "[1257]\tvalid_0's rmse: 0.144944\n",
+      "[1258]\tvalid_0's rmse: 0.144951\n",
+      "[1259]\tvalid_0's rmse: 0.144954\n",
+      "[1260]\tvalid_0's rmse: 0.144945\n",
+      "[1261]\tvalid_0's rmse: 0.14496\n",
+      "[1262]\tvalid_0's rmse: 0.144975\n",
+      "[1263]\tvalid_0's rmse: 0.14499\n",
+      "[1264]\tvalid_0's rmse: 0.144997\n",
+      "[1265]\tvalid_0's rmse: 0.145012\n",
+      "[1266]\tvalid_0's rmse: 0.145021\n",
+      "[1267]\tvalid_0's rmse: 0.145031\n",
+      "[1268]\tvalid_0's rmse: 0.145052\n",
+      "[1269]\tvalid_0's rmse: 0.145071\n",
+      "[1270]\tvalid_0's rmse: 0.145079\n",
+      "[1271]\tvalid_0's rmse: 0.145054\n",
+      "[1272]\tvalid_0's rmse: 0.145067\n",
+      "[1273]\tvalid_0's rmse: 0.145042\n",
+      "[1274]\tvalid_0's rmse: 0.14502\n",
+      "[1275]\tvalid_0's rmse: 0.145004\n",
+      "[1276]\tvalid_0's rmse: 0.145021\n",
+      "[1277]\tvalid_0's rmse: 0.145038\n",
+      "[1278]\tvalid_0's rmse: 0.145055\n",
+      "[1279]\tvalid_0's rmse: 0.145072\n",
+      "[1280]\tvalid_0's rmse: 0.145072\n",
+      "[1281]\tvalid_0's rmse: 0.145041\n",
+      "[1282]\tvalid_0's rmse: 0.145004\n",
+      "[1283]\tvalid_0's rmse: 0.144975\n",
+      "[1284]\tvalid_0's rmse: 0.144938\n",
+      "[1285]\tvalid_0's rmse: 0.144955\n",
+      "[1286]\tvalid_0's rmse: 0.144984\n",
+      "[1287]\tvalid_0's rmse: 0.145009\n",
+      "[1288]\tvalid_0's rmse: 0.145037\n",
+      "[1289]\tvalid_0's rmse: 0.145046\n",
+      "[1290]\tvalid_0's rmse: 0.145071\n",
+      "[1291]\tvalid_0's rmse: 0.145041\n",
+      "[1292]\tvalid_0's rmse: 0.145012\n",
+      "[1293]\tvalid_0's rmse: 0.144983\n",
+      "[1294]\tvalid_0's rmse: 0.14497\n",
+      "[1295]\tvalid_0's rmse: 0.144942\n",
+      "[1296]\tvalid_0's rmse: 0.144919\n",
+      "[1297]\tvalid_0's rmse: 0.144891\n",
+      "[1298]\tvalid_0's rmse: 0.144877\n",
+      "[1299]\tvalid_0's rmse: 0.144864\n",
+      "[1300]\tvalid_0's rmse: 0.14485\n",
+      "[1301]\tvalid_0's rmse: 0.144828\n",
+      "[1302]\tvalid_0's rmse: 0.144782\n",
+      "[1303]\tvalid_0's rmse: 0.144736\n",
+      "[1304]\tvalid_0's rmse: 0.144727\n",
+      "[1305]\tvalid_0's rmse: 0.144682\n",
+      "[1306]\tvalid_0's rmse: 0.144676\n",
+      "[1307]\tvalid_0's rmse: 0.14467\n",
+      "[1308]\tvalid_0's rmse: 0.144665\n",
+      "[1309]\tvalid_0's rmse: 0.14465\n",
+      "[1310]\tvalid_0's rmse: 0.144624\n",
+      "[1311]\tvalid_0's rmse: 0.144618\n",
+      "[1312]\tvalid_0's rmse: 0.144613\n",
+      "[1313]\tvalid_0's rmse: 0.144611\n",
+      "[1314]\tvalid_0's rmse: 0.144602\n",
+      "[1315]\tvalid_0's rmse: 0.144597\n",
+      "[1316]\tvalid_0's rmse: 0.14457\n",
+      "[1317]\tvalid_0's rmse: 0.14454\n",
+      "[1318]\tvalid_0's rmse: 0.14451\n",
+      "[1319]\tvalid_0's rmse: 0.144493\n",
+      "[1320]\tvalid_0's rmse: 0.144463\n",
+      "[1321]\tvalid_0's rmse: 0.144465\n",
+      "[1322]\tvalid_0's rmse: 0.144465\n",
+      "[1323]\tvalid_0's rmse: 0.144466\n",
+      "[1324]\tvalid_0's rmse: 0.144475\n",
+      "[1325]\tvalid_0's rmse: 0.144474\n",
+      "[1326]\tvalid_0's rmse: 0.144456\n",
+      "[1327]\tvalid_0's rmse: 0.144439\n",
+      "[1328]\tvalid_0's rmse: 0.144422\n",
+      "[1329]\tvalid_0's rmse: 0.144406\n",
+      "[1330]\tvalid_0's rmse: 0.144403\n",
+      "[1331]\tvalid_0's rmse: 0.144416\n",
+      "[1332]\tvalid_0's rmse: 0.14443\n",
+      "[1333]\tvalid_0's rmse: 0.144438\n",
+      "[1334]\tvalid_0's rmse: 0.144451\n",
+      "[1335]\tvalid_0's rmse: 0.144464\n",
+      "[1336]\tvalid_0's rmse: 0.144441\n",
+      "[1337]\tvalid_0's rmse: 0.144462\n",
+      "[1338]\tvalid_0's rmse: 0.144437\n",
+      "[1339]\tvalid_0's rmse: 0.144414\n",
+      "[1340]\tvalid_0's rmse: 0.14439\n",
+      "[1341]\tvalid_0's rmse: 0.144388\n",
+      "[1342]\tvalid_0's rmse: 0.144385\n",
+      "[1343]\tvalid_0's rmse: 0.144382\n",
+      "[1344]\tvalid_0's rmse: 0.144379\n",
+      "[1345]\tvalid_0's rmse: 0.144364\n",
+      "[1346]\tvalid_0's rmse: 0.144367\n",
+      "[1347]\tvalid_0's rmse: 0.144367\n",
+      "[1348]\tvalid_0's rmse: 0.144351\n",
+      "[1349]\tvalid_0's rmse: 0.144344\n",
+      "[1350]\tvalid_0's rmse: 0.14434\n",
+      "[1351]\tvalid_0's rmse: 0.144308\n",
+      "[1352]\tvalid_0's rmse: 0.144282\n",
+      "[1353]\tvalid_0's rmse: 0.144283\n",
+      "[1354]\tvalid_0's rmse: 0.144251\n",
+      "[1355]\tvalid_0's rmse: 0.144227\n",
+      "[1356]\tvalid_0's rmse: 0.14421\n",
+      "[1357]\tvalid_0's rmse: 0.144195\n",
+      "[1358]\tvalid_0's rmse: 0.144169\n",
+      "[1359]\tvalid_0's rmse: 0.144149\n",
+      "[1360]\tvalid_0's rmse: 0.144124\n",
+      "[1361]\tvalid_0's rmse: 0.144112\n",
+      "[1362]\tvalid_0's rmse: 0.144073\n",
+      "[1363]\tvalid_0's rmse: 0.144061\n",
+      "[1364]\tvalid_0's rmse: 0.144049\n",
+      "[1365]\tvalid_0's rmse: 0.144037\n",
+      "[1366]\tvalid_0's rmse: 0.144027\n",
+      "[1367]\tvalid_0's rmse: 0.144036\n",
+      "[1368]\tvalid_0's rmse: 0.144028\n",
+      "[1369]\tvalid_0's rmse: 0.14403\n",
+      "[1370]\tvalid_0's rmse: 0.144018\n",
+      "[1371]\tvalid_0's rmse: 0.14401\n",
+      "[1372]\tvalid_0's rmse: 0.144003\n",
+      "[1373]\tvalid_0's rmse: 0.143978\n",
+      "[1374]\tvalid_0's rmse: 0.143972\n",
+      "[1375]\tvalid_0's rmse: 0.143966\n",
+      "[1376]\tvalid_0's rmse: 0.143954\n",
+      "[1377]\tvalid_0's rmse: 0.143926\n",
+      "[1378]\tvalid_0's rmse: 0.143911\n",
+      "[1379]\tvalid_0's rmse: 0.143903\n",
+      "[1380]\tvalid_0's rmse: 0.143895\n",
+      "[1381]\tvalid_0's rmse: 0.143884\n",
+      "[1382]\tvalid_0's rmse: 0.143874\n",
+      "[1383]\tvalid_0's rmse: 0.143863\n",
+      "[1384]\tvalid_0's rmse: 0.143849\n",
+      "[1385]\tvalid_0's rmse: 0.143835\n",
+      "[1386]\tvalid_0's rmse: 0.143832\n",
+      "[1387]\tvalid_0's rmse: 0.143855\n",
+      "[1388]\tvalid_0's rmse: 0.143857\n",
+      "[1389]\tvalid_0's rmse: 0.143855\n",
+      "[1390]\tvalid_0's rmse: 0.143855\n",
+      "[1391]\tvalid_0's rmse: 0.143854\n",
+      "[1392]\tvalid_0's rmse: 0.143854\n",
+      "[1393]\tvalid_0's rmse: 0.143854\n",
+      "[1394]\tvalid_0's rmse: 0.143884\n",
+      "[1395]\tvalid_0's rmse: 0.1439\n",
+      "[1396]\tvalid_0's rmse: 0.143914\n",
+      "[1397]\tvalid_0's rmse: 0.143926\n",
+      "[1398]\tvalid_0's rmse: 0.143939\n",
+      "[1399]\tvalid_0's rmse: 0.143945\n",
+      "[1400]\tvalid_0's rmse: 0.143966\n",
+      "[1401]\tvalid_0's rmse: 0.143975\n",
+      "[1402]\tvalid_0's rmse: 0.14398\n",
+      "[1403]\tvalid_0's rmse: 0.143975\n",
+      "[1404]\tvalid_0's rmse: 0.143984\n",
+      "[1405]\tvalid_0's rmse: 0.143988\n",
+      "[1406]\tvalid_0's rmse: 0.14399\n",
+      "[1407]\tvalid_0's rmse: 0.143987\n",
+      "[1408]\tvalid_0's rmse: 0.14399\n",
+      "[1409]\tvalid_0's rmse: 0.14399\n",
+      "[1410]\tvalid_0's rmse: 0.143983\n",
+      "[1411]\tvalid_0's rmse: 0.143977\n",
+      "[1412]\tvalid_0's rmse: 0.14397\n",
+      "[1413]\tvalid_0's rmse: 0.143969\n",
+      "[1414]\tvalid_0's rmse: 0.143964\n",
+      "[1415]\tvalid_0's rmse: 0.143957\n",
+      "[1416]\tvalid_0's rmse: 0.143946\n",
+      "[1417]\tvalid_0's rmse: 0.143936\n",
+      "[1418]\tvalid_0's rmse: 0.143918\n",
+      "[1419]\tvalid_0's rmse: 0.143909\n",
+      "[1420]\tvalid_0's rmse: 0.143883\n",
+      "[1421]\tvalid_0's rmse: 0.143869\n",
+      "[1422]\tvalid_0's rmse: 0.143865\n",
+      "[1423]\tvalid_0's rmse: 0.143851\n",
+      "[1424]\tvalid_0's rmse: 0.143837\n",
+      "[1425]\tvalid_0's rmse: 0.143833\n",
+      "[1426]\tvalid_0's rmse: 0.143827\n",
+      "[1427]\tvalid_0's rmse: 0.14382\n",
+      "[1428]\tvalid_0's rmse: 0.143814\n",
+      "[1429]\tvalid_0's rmse: 0.143808\n",
+      "[1430]\tvalid_0's rmse: 0.143787\n",
+      "[1431]\tvalid_0's rmse: 0.143764\n",
+      "[1432]\tvalid_0's rmse: 0.143742\n",
+      "[1433]\tvalid_0's rmse: 0.14372\n",
+      "[1434]\tvalid_0's rmse: 0.143698\n",
+      "[1435]\tvalid_0's rmse: 0.143675\n",
+      "[1436]\tvalid_0's rmse: 0.14369\n",
+      "[1437]\tvalid_0's rmse: 0.143684\n",
+      "[1438]\tvalid_0's rmse: 0.143688\n",
+      "[1439]\tvalid_0's rmse: 0.143699\n",
+      "[1440]\tvalid_0's rmse: 0.143698\n",
+      "[1441]\tvalid_0's rmse: 0.143682\n",
+      "[1442]\tvalid_0's rmse: 0.143672\n",
+      "[1443]\tvalid_0's rmse: 0.143662\n",
+      "[1444]\tvalid_0's rmse: 0.143653\n",
+      "[1445]\tvalid_0's rmse: 0.143643\n",
+      "[1446]\tvalid_0's rmse: 0.143603\n",
+      "[1447]\tvalid_0's rmse: 0.143563\n",
+      "[1448]\tvalid_0's rmse: 0.143524\n",
+      "[1449]\tvalid_0's rmse: 0.143488\n",
+      "[1450]\tvalid_0's rmse: 0.14345\n",
+      "[1451]\tvalid_0's rmse: 0.14346\n",
+      "[1452]\tvalid_0's rmse: 0.143435\n",
+      "[1453]\tvalid_0's rmse: 0.143424\n",
+      "[1454]\tvalid_0's rmse: 0.143401\n",
+      "[1455]\tvalid_0's rmse: 0.143375\n",
+      "[1456]\tvalid_0's rmse: 0.143373\n",
+      "[1457]\tvalid_0's rmse: 0.143388\n",
+      "[1458]\tvalid_0's rmse: 0.143397\n",
+      "[1459]\tvalid_0's rmse: 0.143412\n",
+      "[1460]\tvalid_0's rmse: 0.143426\n",
+      "[1461]\tvalid_0's rmse: 0.143424\n",
+      "[1462]\tvalid_0's rmse: 0.14342\n",
+      "[1463]\tvalid_0's rmse: 0.143417\n",
+      "[1464]\tvalid_0's rmse: 0.143407\n",
+      "[1465]\tvalid_0's rmse: 0.143398\n",
+      "[1466]\tvalid_0's rmse: 0.143389\n",
+      "[1467]\tvalid_0's rmse: 0.143381\n",
+      "[1468]\tvalid_0's rmse: 0.143368\n",
+      "[1469]\tvalid_0's rmse: 0.143358\n",
+      "[1470]\tvalid_0's rmse: 0.14336\n",
+      "[1471]\tvalid_0's rmse: 0.143373\n",
+      "[1472]\tvalid_0's rmse: 0.143387\n",
+      "[1473]\tvalid_0's rmse: 0.143402\n",
+      "[1474]\tvalid_0's rmse: 0.143421\n",
+      "[1475]\tvalid_0's rmse: 0.143434\n",
+      "[1476]\tvalid_0's rmse: 0.143435\n",
+      "[1477]\tvalid_0's rmse: 0.143446\n",
+      "[1478]\tvalid_0's rmse: 0.143447\n",
+      "[1479]\tvalid_0's rmse: 0.143444\n",
+      "[1480]\tvalid_0's rmse: 0.143439\n",
+      "[1481]\tvalid_0's rmse: 0.143435\n",
+      "[1482]\tvalid_0's rmse: 0.143432\n",
+      "[1483]\tvalid_0's rmse: 0.143428\n",
+      "[1484]\tvalid_0's rmse: 0.143426\n",
+      "[1485]\tvalid_0's rmse: 0.143424\n",
+      "[1486]\tvalid_0's rmse: 0.143405\n",
+      "[1487]\tvalid_0's rmse: 0.143387\n",
+      "[1488]\tvalid_0's rmse: 0.143369\n",
+      "[1489]\tvalid_0's rmse: 0.143347\n",
+      "[1490]\tvalid_0's rmse: 0.14333\n",
+      "[1491]\tvalid_0's rmse: 0.143322\n",
+      "[1492]\tvalid_0's rmse: 0.143314\n",
+      "[1493]\tvalid_0's rmse: 0.14331\n",
+      "[1494]\tvalid_0's rmse: 0.143323\n",
+      "[1495]\tvalid_0's rmse: 0.143324\n",
+      "[1496]\tvalid_0's rmse: 0.143314\n",
+      "[1497]\tvalid_0's rmse: 0.143303\n",
+      "[1498]\tvalid_0's rmse: 0.143288\n",
+      "[1499]\tvalid_0's rmse: 0.143278\n",
+      "[1500]\tvalid_0's rmse: 0.143254\n",
+      "[1501]\tvalid_0's rmse: 0.143224\n",
+      "[1502]\tvalid_0's rmse: 0.143206\n",
+      "[1503]\tvalid_0's rmse: 0.143176\n",
+      "[1504]\tvalid_0's rmse: 0.143183\n",
+      "[1505]\tvalid_0's rmse: 0.14317\n",
+      "[1506]\tvalid_0's rmse: 0.143176\n",
+      "[1507]\tvalid_0's rmse: 0.143197\n",
+      "[1508]\tvalid_0's rmse: 0.143203\n",
+      "[1509]\tvalid_0's rmse: 0.14321\n",
+      "[1510]\tvalid_0's rmse: 0.143217\n",
+      "[1511]\tvalid_0's rmse: 0.143191\n",
+      "[1512]\tvalid_0's rmse: 0.143163\n",
+      "[1513]\tvalid_0's rmse: 0.143153\n",
+      "[1514]\tvalid_0's rmse: 0.143125\n",
+      "[1515]\tvalid_0's rmse: 0.143095\n",
+      "[1516]\tvalid_0's rmse: 0.143071\n",
+      "[1517]\tvalid_0's rmse: 0.143047\n",
+      "[1518]\tvalid_0's rmse: 0.143024\n",
+      "[1519]\tvalid_0's rmse: 0.143011\n",
+      "[1520]\tvalid_0's rmse: 0.142988\n",
+      "[1521]\tvalid_0's rmse: 0.142963\n",
+      "[1522]\tvalid_0's rmse: 0.142942\n",
+      "[1523]\tvalid_0's rmse: 0.142917\n",
+      "[1524]\tvalid_0's rmse: 0.142896\n",
+      "[1525]\tvalid_0's rmse: 0.14287\n",
+      "[1526]\tvalid_0's rmse: 0.142861\n",
+      "[1527]\tvalid_0's rmse: 0.142852\n",
+      "[1528]\tvalid_0's rmse: 0.142843\n",
+      "[1529]\tvalid_0's rmse: 0.142827\n",
+      "[1530]\tvalid_0's rmse: 0.14281\n",
+      "[1531]\tvalid_0's rmse: 0.142826\n",
+      "[1532]\tvalid_0's rmse: 0.142834\n",
+      "[1533]\tvalid_0's rmse: 0.142855\n",
+      "[1534]\tvalid_0's rmse: 0.142881\n",
+      "[1535]\tvalid_0's rmse: 0.142908\n",
+      "[1536]\tvalid_0's rmse: 0.142897\n",
+      "[1537]\tvalid_0's rmse: 0.142886\n",
+      "[1538]\tvalid_0's rmse: 0.142878\n",
+      "[1539]\tvalid_0's rmse: 0.142869\n",
+      "[1540]\tvalid_0's rmse: 0.142865\n",
+      "[1541]\tvalid_0's rmse: 0.142872\n",
+      "[1542]\tvalid_0's rmse: 0.142902\n",
+      "[1543]\tvalid_0's rmse: 0.14291\n",
+      "[1544]\tvalid_0's rmse: 0.142918\n",
+      "[1545]\tvalid_0's rmse: 0.142926\n",
+      "[1546]\tvalid_0's rmse: 0.142934\n",
+      "[1547]\tvalid_0's rmse: 0.142935\n",
+      "[1548]\tvalid_0's rmse: 0.142935\n",
+      "[1549]\tvalid_0's rmse: 0.142936\n",
+      "[1550]\tvalid_0's rmse: 0.142936\n",
+      "[1551]\tvalid_0's rmse: 0.142937\n",
+      "[1552]\tvalid_0's rmse: 0.142947\n",
+      "[1553]\tvalid_0's rmse: 0.142947\n",
+      "[1554]\tvalid_0's rmse: 0.14295\n",
+      "[1555]\tvalid_0's rmse: 0.142947\n",
+      "[1556]\tvalid_0's rmse: 0.142939\n",
+      "[1557]\tvalid_0's rmse: 0.142931\n",
+      "[1558]\tvalid_0's rmse: 0.142916\n",
+      "[1559]\tvalid_0's rmse: 0.142886\n",
+      "[1560]\tvalid_0's rmse: 0.142868\n",
+      "[1561]\tvalid_0's rmse: 0.142862\n",
+      "[1562]\tvalid_0's rmse: 0.142856\n",
+      "[1563]\tvalid_0's rmse: 0.142849\n",
+      "[1564]\tvalid_0's rmse: 0.142843\n",
+      "[1565]\tvalid_0's rmse: 0.142837\n",
+      "[1566]\tvalid_0's rmse: 0.142816\n",
+      "[1567]\tvalid_0's rmse: 0.142795\n",
+      "[1568]\tvalid_0's rmse: 0.14281\n",
+      "[1569]\tvalid_0's rmse: 0.142791\n",
+      "[1570]\tvalid_0's rmse: 0.14281\n",
+      "[1571]\tvalid_0's rmse: 0.142804\n",
+      "[1572]\tvalid_0's rmse: 0.142798\n",
+      "[1573]\tvalid_0's rmse: 0.142792\n",
+      "[1574]\tvalid_0's rmse: 0.142774\n",
+      "[1575]\tvalid_0's rmse: 0.142772\n",
+      "[1576]\tvalid_0's rmse: 0.142774\n",
+      "[1577]\tvalid_0's rmse: 0.142776\n",
+      "[1578]\tvalid_0's rmse: 0.142778\n",
+      "[1579]\tvalid_0's rmse: 0.14278\n",
+      "[1580]\tvalid_0's rmse: 0.142765\n",
+      "[1581]\tvalid_0's rmse: 0.142791\n",
+      "[1582]\tvalid_0's rmse: 0.142806\n",
+      "[1583]\tvalid_0's rmse: 0.142832\n",
+      "[1584]\tvalid_0's rmse: 0.142849\n",
+      "[1585]\tvalid_0's rmse: 0.142869\n",
+      "[1586]\tvalid_0's rmse: 0.142892\n",
+      "[1587]\tvalid_0's rmse: 0.142914\n",
+      "[1588]\tvalid_0's rmse: 0.142937\n",
+      "[1589]\tvalid_0's rmse: 0.142959\n",
+      "[1590]\tvalid_0's rmse: 0.142981\n",
+      "[1591]\tvalid_0's rmse: 0.142986\n",
+      "[1592]\tvalid_0's rmse: 0.142997\n",
+      "[1593]\tvalid_0's rmse: 0.143007\n",
+      "[1594]\tvalid_0's rmse: 0.143017\n",
+      "[1595]\tvalid_0's rmse: 0.143023\n",
+      "[1596]\tvalid_0's rmse: 0.143018\n",
+      "[1597]\tvalid_0's rmse: 0.143012\n",
+      "[1598]\tvalid_0's rmse: 0.143\n",
+      "[1599]\tvalid_0's rmse: 0.142994\n",
+      "[1600]\tvalid_0's rmse: 0.14298\n",
+      "[1601]\tvalid_0's rmse: 0.142961\n",
+      "[1602]\tvalid_0's rmse: 0.142939\n",
+      "[1603]\tvalid_0's rmse: 0.14293\n",
+      "[1604]\tvalid_0's rmse: 0.142914\n",
+      "[1605]\tvalid_0's rmse: 0.142897\n",
+      "[1606]\tvalid_0's rmse: 0.142893\n",
+      "[1607]\tvalid_0's rmse: 0.14289\n",
+      "[1608]\tvalid_0's rmse: 0.142875\n",
+      "[1609]\tvalid_0's rmse: 0.142876\n",
+      "[1610]\tvalid_0's rmse: 0.142872\n",
+      "[1611]\tvalid_0's rmse: 0.142878\n",
+      "[1612]\tvalid_0's rmse: 0.142884\n",
+      "[1613]\tvalid_0's rmse: 0.142897\n",
+      "[1614]\tvalid_0's rmse: 0.142905\n",
+      "[1615]\tvalid_0's rmse: 0.142885\n",
+      "[1616]\tvalid_0's rmse: 0.142905\n",
+      "[1617]\tvalid_0's rmse: 0.142924\n",
+      "[1618]\tvalid_0's rmse: 0.142943\n",
+      "[1619]\tvalid_0's rmse: 0.142963\n",
+      "[1620]\tvalid_0's rmse: 0.142982\n",
+      "[1621]\tvalid_0's rmse: 0.143007\n",
+      "[1622]\tvalid_0's rmse: 0.143031\n",
+      "[1623]\tvalid_0's rmse: 0.143056\n",
+      "[1624]\tvalid_0's rmse: 0.143078\n",
+      "[1625]\tvalid_0's rmse: 0.143087\n",
+      "[1626]\tvalid_0's rmse: 0.143085\n",
+      "[1627]\tvalid_0's rmse: 0.143084\n",
+      "[1628]\tvalid_0's rmse: 0.143081\n",
+      "[1629]\tvalid_0's rmse: 0.14308\n",
+      "[1630]\tvalid_0's rmse: 0.143077\n",
+      "[1631]\tvalid_0's rmse: 0.143082\n",
+      "[1632]\tvalid_0's rmse: 0.143088\n",
+      "[1633]\tvalid_0's rmse: 0.143081\n",
+      "[1634]\tvalid_0's rmse: 0.143087\n",
+      "[1635]\tvalid_0's rmse: 0.143089\n",
+      "[1636]\tvalid_0's rmse: 0.143091\n",
+      "[1637]\tvalid_0's rmse: 0.143099\n",
+      "[1638]\tvalid_0's rmse: 0.143104\n",
+      "[1639]\tvalid_0's rmse: 0.143108\n",
+      "[1640]\tvalid_0's rmse: 0.143101\n",
+      "[1641]\tvalid_0's rmse: 0.143104\n",
+      "[1642]\tvalid_0's rmse: 0.143099\n",
+      "[1643]\tvalid_0's rmse: 0.143092\n",
+      "[1644]\tvalid_0's rmse: 0.143089\n",
+      "[1645]\tvalid_0's rmse: 0.143084\n",
+      "[1646]\tvalid_0's rmse: 0.143065\n",
+      "[1647]\tvalid_0's rmse: 0.143047\n",
+      "[1648]\tvalid_0's rmse: 0.14305\n",
+      "[1649]\tvalid_0's rmse: 0.143024\n",
+      "[1650]\tvalid_0's rmse: 0.143006\n",
+      "[1651]\tvalid_0's rmse: 0.142999\n",
+      "[1652]\tvalid_0's rmse: 0.142992\n",
+      "[1653]\tvalid_0's rmse: 0.142985\n",
+      "[1654]\tvalid_0's rmse: 0.142973\n",
+      "[1655]\tvalid_0's rmse: 0.142962\n",
+      "[1656]\tvalid_0's rmse: 0.142952\n",
+      "[1657]\tvalid_0's rmse: 0.14294\n",
+      "[1658]\tvalid_0's rmse: 0.142906\n",
+      "[1659]\tvalid_0's rmse: 0.142891\n",
+      "[1660]\tvalid_0's rmse: 0.142902\n",
+      "[1661]\tvalid_0's rmse: 0.142894\n",
+      "[1662]\tvalid_0's rmse: 0.142888\n",
+      "[1663]\tvalid_0's rmse: 0.142893\n",
+      "[1664]\tvalid_0's rmse: 0.142886\n",
+      "[1665]\tvalid_0's rmse: 0.142882\n",
+      "[1666]\tvalid_0's rmse: 0.1429\n",
+      "[1667]\tvalid_0's rmse: 0.142903\n",
+      "[1668]\tvalid_0's rmse: 0.142921\n",
+      "[1669]\tvalid_0's rmse: 0.142943\n",
+      "[1670]\tvalid_0's rmse: 0.142964\n",
+      "[1671]\tvalid_0's rmse: 0.142938\n",
+      "[1672]\tvalid_0's rmse: 0.142937\n",
+      "[1673]\tvalid_0's rmse: 0.142911\n",
+      "[1674]\tvalid_0's rmse: 0.142916\n",
+      "[1675]\tvalid_0's rmse: 0.14292\n",
+      "[1676]\tvalid_0's rmse: 0.142922\n",
+      "[1677]\tvalid_0's rmse: 0.142918\n",
+      "[1678]\tvalid_0's rmse: 0.142914\n",
+      "[1679]\tvalid_0's rmse: 0.14291\n",
+      "[1680]\tvalid_0's rmse: 0.142914\n",
+      "Early stopping, best iteration is:\n",
+      "[1580]\tvalid_0's rmse: 0.142765\n"
+     ]
+    }
+   ],
+   "source": [
+    "gbm = lgb.train(params, lgb_train, num_boost_round=2000, valid_sets=lgb_eval, early_stopping_rounds=100)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "outputs": [],
+   "source": [
+    "y_pred = np.expm1(gbm.predict(X_test))\n",
+    "y_true = np.expm1(Y_test)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE: 1.96E+04\n",
+      "RMSE: 140.1415\n",
+      "MAE: 77.1526\n",
+      "MAPE: 10.08%\n",
+      "R_2: 0.9768\n",
+      "NMB: -0.0215\n",
+      "NME: 0.0784\n",
+      "MFB: 0.0051\n",
+      "MFE: 0.0953\n"
+     ]
+    }
+   ],
+   "source": [
+    "MSE = mean_squared_error(y_true, y_pred)\n",
+    "RMSE = np.sqrt(mean_squared_error(y_true, y_pred))\n",
+    "MAE = mean_absolute_error(y_true, y_pred)\n",
+    "MAPE = mean_absolute_percentage_error(y_true, y_pred)\n",
+    "R_2 = r2_score(y_true, y_pred)\n",
+    "NMB = sum(y_pred - y_true) / sum(y_true)\n",
+    "NME = sum(abs(y_true-y_pred)) / sum(y_true)\n",
+    "MFB = sum((y_pred - y_true)/((y_pred+y_true)/2))/len(y_true)\n",
+    "MFE = sum(abs((y_pred - y_true))/((y_pred+y_true)/2))/len(y_true)\n",
+    "print(f\"MSE: {format(MSE, '.2E')}\")\n",
+    "print(f'RMSE: {round(RMSE, 4)}')\n",
+    "print(f'MAE: {round(MAE, 4)}')\n",
+    "print(f'MAPE: {round(MAPE*100, 2)}%')\n",
+    "print(f'R_2: {round(R_2, 4)}')\n",
+    "print(f'NMB: {round(NMB, 4)}')\n",
+    "print(f'NME: {round(NME, 4)}')\n",
+    "print(f'MFB: {round(MFB, 4)}')\n",
+    "print(f'MFE: {round(MFE, 4)}')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [],
+   "source": [
+    "test_rst = pd.DataFrame(np.array([y_pred, y_true]).T, columns=['y_pred', 'y_true'])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2200x900 with 1 Axes>",
+      "image/png": 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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(22, 9))\n",
+    "smaller_rst = test_rst[test_rst.y_true <= 2000].reset_index(drop=True)\n",
+    "plt.plot(smaller_rst.y_pred, 'o-', color='b', label='预测值')\n",
+    "plt.plot(smaller_rst.y_true, '*-', color='r', label='真实值')\n",
+    "# for index in range(smaller_rst.shape[0]):\n",
+    "#     tmp_y = smaller_rst.iloc[index].y_true\n",
+    "#     tmp_yhat = smaller_rst.iloc[index].y_pred\n",
+    "#     plt.plot([index, index], [tmp_yhat, tmp_y], color='grey')\n",
+    "#     # print(f\"从({index}, {tmp_y}) 到 ({index},{tmp_yhat})\")\n",
+    "plt.legend(loc='best')\n",
+    "plt.title('低煤耗机组预测结果（不添加发电量、供热量）')\n",
+    "plt.savefig('./figure/unit_smaller_2.png')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2200x900 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(22, 9))\n",
+    "larger_rst = test_rst[test_rst.y_true > 2000].reset_index(drop=True)\n",
+    "plt.plot(larger_rst.y_pred, 'o-', color='b', label='预测值')\n",
+    "plt.plot(larger_rst.y_true, '*-', color='r', label='真实值')\n",
+    "# for index in range(larger_rst.shape[0]):\n",
+    "#     tmp_y = larger_rst.iloc[index].y_true\n",
+    "#     tmp_yhat = larger_rst.iloc[index].y_pred\n",
+    "#     plt.plot([index, index], [tmp_yhat, tmp_y], color='grey')\n",
+    "#     # print(f\"从({index}, {tmp_y}) 到 ({index},{tmp_yhat})\")\n",
+    "plt.legend(loc='best')\n",
+    "plt.title('高煤耗机组预测结果（不添加发电量、供热量）')\n",
+    "plt.savefig('./figure/unit_larger_2.png')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE: 8.76E+04\n",
+      "RMSE: 295.91786010538635\n",
+      "MAE: 195.36140253946826\n",
+      "MAPE: 0.0663623609341966\n",
+      "R_2: 0.5412201459987633\n"
+     ]
+    }
+   ],
+   "source": [
+    "y_pred_l = test_rst[test_rst.y_true > 2000].y_pred\n",
+    "y_true_l = test_rst[test_rst.y_true > 2000].y_true\n",
+    "MSE_l = mean_squared_error(y_true_l, y_pred_l)\n",
+    "RMSE_l = np.sqrt(mean_squared_error(y_true_l, y_pred_l))\n",
+    "MAE_l = mean_absolute_error(y_true_l, y_pred_l)\n",
+    "MAPE_l = mean_absolute_percentage_error(y_true_l, y_pred_l)\n",
+    "R_2_l = r2_score(y_true_l, y_pred_l)\n",
+    "print('MSE:', format(MSE_l, '.2E'))\n",
+    "print('RMSE:', RMSE_l)\n",
+    "print('MAE:', MAE_l)\n",
+    "print('MAPE:', MAPE_l)\n",
+    "print('R_2:', R_2_l)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE: 5.27E+03\n",
+      "RMSE: 72.59700673680008\n",
+      "MAE: 52.1469378966335\n",
+      "MAPE: 0.1081435925002414\n",
+      "R_2: 0.6655229354965604\n"
+     ]
+    }
+   ],
+   "source": [
+    "y_pred_s = test_rst[test_rst.y_true <= 2000].y_pred\n",
+    "y_true_s = test_rst[test_rst.y_true <= 2000].y_true\n",
+    "MSE_s = mean_squared_error(y_true_s, y_pred_s)\n",
+    "RMSE_s = np.sqrt(mean_squared_error(y_true_s, y_pred_s))\n",
+    "MAE_s = mean_absolute_error(y_true_s, y_pred_s)\n",
+    "MAPE_s = mean_absolute_percentage_error(y_true_s, y_pred_s)\n",
+    "R_2_s = r2_score(y_true_s, y_pred_s)\n",
+    "print('MSE:', format(MSE_s, '.2E'))\n",
+    "print('RMSE:', RMSE_s)\n",
+    "print('MAE:', MAE_s)\n",
+    "print('MAPE:', MAPE_s)\n",
+    "print('R_2:', R_2_s)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "outputs": [],
+   "source": [
+    "import seaborn as sns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [],
+   "source": [
+    "feature_importance = pd.DataFrame()\n",
+    "feature_importance['fea_name'] = feature_cols\n",
+    "feature_importance['fea_imp'] = gbm.feature_importance(importance_type='split')\n",
+    "feature_importance = feature_importance.sort_values('fea_imp', ascending=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "outputs": [],
+   "source": [
+    "import matplotlib.ticker as ticker"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 2000x1200 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=[20, 12])\n",
+    "ax = sns.barplot(x=feature_importance['fea_name'], y=feature_importance['fea_imp'])\n",
+    "ax.set_xticklabels(labels=feature_importance['fea_name'], rotation=45, fontsize=12)\n",
+    "ax.yaxis.set_major_locator(ticker.MultipleLocator(2000))  # 设置y轴标签间隔\n",
+    "plt.title('特征重要性（使用发电量、供热量）')\n",
+    "plt.xlabel('fea_name', fontsize=12)\n",
+    "plt.ylabel('fea_imp', fontsize=12)\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('./figure/机组建模特征重要性_1.png')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "         fea_name  fea_imp  imp_scale\n8   day_of_week_1      309   0.211354\n2   day_of_week_6      292   0.199726\n12  day_of_week_4      277   0.189466\n7   day_of_week_7      215   0.147059\n9   day_of_week_2      147   0.100547\n3   day_of_week_5      139   0.095075\n0   day_of_week_3       83   0.056772",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>fea_name</th>\n      <th>fea_imp</th>\n      <th>imp_scale</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>8</th>\n      <td>day_of_week_1</td>\n      <td>309</td>\n      <td>0.211354</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>day_of_week_6</td>\n      <td>292</td>\n      <td>0.199726</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>day_of_week_4</td>\n      <td>277</td>\n      <td>0.189466</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>day_of_week_7</td>\n      <td>215</td>\n      <td>0.147059</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>day_of_week_2</td>\n      <td>147</td>\n      <td>0.100547</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>day_of_week_5</td>\n      <td>139</td>\n      <td>0.095075</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>day_of_week_3</td>\n      <td>83</td>\n      <td>0.056772</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dow_imp = feature_importance[feature_importance.fea_name.str.contains('day_of_week')].copy()\n",
+    "dow_imp['imp_scale'] = dow_imp.fea_imp / dow_imp.fea_imp.sum()\n",
+    "dow_imp"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/使用lightgbm建模.ipynb b/使用lightgbm建模.ipynb
index 7e97ba2..5ad6598 100644
--- a/使用lightgbm建模.ipynb
+++ b/使用lightgbm建模.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {
     "collapsed": true,
     "pycharm": {
@@ -30,14 +30,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "outputs": [
     {
      "data": {
       "text/plain": "         days  发电量（千瓦时）  供热量（吉焦）  机组运行时间（小时）  硫分（%）  脱硫剂使用量（吨）  脱硫设施运行时间（小时）  \\\n0  2018-10-01  156796.0  6536.83        24.0   0.51       5.06          24.0   \n1  2018-10-02  133984.0  2484.64        24.0   0.51       5.04          24.0   \n2  2018-10-03  134023.0  3020.83        24.0   0.51       5.04          24.0   \n3  2018-10-04  124765.0  5599.23        24.0   0.51       5.03          24.0   \n4  2018-10-05  134414.0  4702.65        24.0   0.51       5.06          24.0   \n\n   脱硝还原剂消耗量（吨）  脱硝运行时间（小时）  燃料消耗量（吨）  ...          cSO2           cO2  \\\n0         2.98        24.0       323  ...  2.148473e+07  3.745944e+07   \n1         2.97        24.0       218  ...  1.587722e+07  2.832146e+07   \n2         2.95        24.0       212  ...  2.829086e+07  3.174159e+07   \n3         2.98        24.0       223  ...  1.030569e+07  2.511504e+07   \n4         3.01        24.0       243  ...  1.830254e+06  4.106346e+07   \n\n         csmoke           flow       rNOx        rO2       temp      rSO2  \\\n0  6.519466e+05  162345.192917  28.981417   9.900000  51.250000  5.581667   \n1  3.656575e+05  140175.330833  22.220750   9.400000  50.679167  4.364167   \n2  5.181773e+05  154686.184167  24.816708   8.550000  52.808333  7.580000   \n3  2.299438e+06  120345.545833  21.875125  10.202083  48.854167  2.808958   \n4  6.230433e+06  162533.103542  25.605917  11.497917  45.783333  0.393333   \n\n     rsmoke  day_of_year  \n0  0.209167          273  \n1  0.190417          274  \n2  0.139583          275  \n3  0.893333          276  \n4  2.141875          277  \n\n[5 rows x 165 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>机组运行时间（小时）</th>\n      <th>硫分（%）</th>\n      <th>脱硫剂使用量（吨）</th>\n      <th>脱硫设施运行时间（小时）</th>\n      <th>脱硝还原剂消耗量（吨）</th>\n      <th>脱硝运行时间（小时）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>...</th>\n      <th>cSO2</th>\n      <th>cO2</th>\n      <th>csmoke</th>\n      <th>flow</th>\n      <th>rNOx</th>\n      <th>rO2</th>\n      <th>temp</th>\n      <th>rSO2</th>\n      <th>rsmoke</th>\n      <th>day_of_year</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.0</td>\n      <td>6536.83</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.06</td>\n      <td>24.0</td>\n      <td>2.98</td>\n      <td>24.0</td>\n      <td>323</td>\n      <td>...</td>\n      <td>2.148473e+07</td>\n      <td>3.745944e+07</td>\n      <td>6.519466e+05</td>\n      <td>162345.192917</td>\n      <td>28.981417</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>5.581667</td>\n      <td>0.209167</td>\n      <td>273</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.0</td>\n      <td>2484.64</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.04</td>\n      <td>24.0</td>\n      <td>2.97</td>\n      <td>24.0</td>\n      <td>218</td>\n      <td>...</td>\n      <td>1.587722e+07</td>\n      <td>2.832146e+07</td>\n      <td>3.656575e+05</td>\n      <td>140175.330833</td>\n      <td>22.220750</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>4.364167</td>\n      <td>0.190417</td>\n      <td>274</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.0</td>\n      <td>3020.83</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.04</td>\n      <td>24.0</td>\n      <td>2.95</td>\n      <td>24.0</td>\n      <td>212</td>\n      <td>...</td>\n      <td>2.829086e+07</td>\n      <td>3.174159e+07</td>\n      <td>5.181773e+05</td>\n      <td>154686.184167</td>\n      <td>24.816708</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>7.580000</td>\n      <td>0.139583</td>\n      <td>275</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.0</td>\n      <td>5599.23</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.03</td>\n      <td>24.0</td>\n      <td>2.98</td>\n      <td>24.0</td>\n      <td>223</td>\n      <td>...</td>\n      <td>1.030569e+07</td>\n      <td>2.511504e+07</td>\n      <td>2.299438e+06</td>\n      <td>120345.545833</td>\n      <td>21.875125</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.808958</td>\n      <td>0.893333</td>\n      <td>276</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.0</td>\n      <td>4702.65</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.06</td>\n      <td>24.0</td>\n      <td>3.01</td>\n      <td>24.0</td>\n      <td>243</td>\n      <td>...</td>\n      <td>1.830254e+06</td>\n      <td>4.106346e+07</td>\n      <td>6.230433e+06</td>\n      <td>162533.103542</td>\n      <td>25.605917</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.393333</td>\n      <td>2.141875</td>\n      <td>277</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 165 columns</p>\n</div>"
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "outputs": [],
    "source": [
     "# 先去掉一些异常值\n",
@@ -73,13 +73,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "outputs": [
     {
      "data": {
       "text/plain": "['rNOx', 'rO2', 'rSO2', 'rsmoke']"
      },
-     "execution_count": 5,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -97,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "outputs": [],
    "source": [
     "for col in use_data.columns:\n",
@@ -115,13 +115,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "outputs": [
     {
      "data": {
       "text/plain": "Index(['cNOx', 'cSO2', 'cO2', 'csmoke', 'flow', 'rNOx', 'rO2', 'temp', 'rSO2',\n       'rsmoke', 'week_of_year'],\n      dtype='object')"
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "outputs": [],
    "source": [
     "train_data, valid_data = train_test_split(use_data, test_size=0.15, shuffle=True, random_state=666)"
@@ -155,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "outputs": [],
    "source": [
     "X_train, Y_train = train_data[feature_cols], train_data['燃料消耗量（吨）']\n",
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "outputs": [],
    "source": [
     "lgb_train = lgb.Dataset(X_train, Y_train)\n",
@@ -187,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "outputs": [],
    "source": [
     "params = {\n",
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "outputs": [
     {
      "name": "stdout",
@@ -1202,7 +1202,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "outputs": [],
    "source": [
     "y_pred = np.expm1(np.expm1(gbm.predict(X_test)))\n",
@@ -1217,7 +1217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 13,
    "outputs": [
     {
      "name": "stdout",
@@ -1252,17 +1252,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "MSE: 5.55E+02\n",
-      "RMSE: 23.55984288394111\n",
-      "MAE: 17.576455710512402\n",
-      "MAPE: 0.03501471248540124\n",
-      "R_2: 0.9704326876428987\n"
+      "MSE: 5.74E+03\n",
+      "RMSE: 75.76181372320752\n",
+      "MAE: 54.761485656796516\n",
+      "MAPE: 0.11813067374720394\n",
+      "R_2: 0.6942490637163895\n"
      ]
     }
    ],
@@ -1287,7 +1287,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 15,
    "outputs": [],
    "source": [
     "import seaborn as sns"
@@ -1301,20 +1301,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 20,
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\zhaojh\\AppData\\Local\\Temp\\ipykernel_1488\\3332664617.py:9: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "C:\\Users\\zhaojh\\AppData\\Local\\Temp\\ipykernel_26460\\3712314790.py:9: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
       "  ax.set_yticklabels(labels=[0, 2000, 4000, 6000, 8000, 10000, 12000, 14000, 16000], fontsize=6)\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<Figure size 4000x2000 with 1 Axes>",
-      "image/png": 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+      "text/plain": "<Figure size 2000x1000 with 1 Axes>",
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1326,9 +1326,9 @@
     "feature_importance['fea_imp'] = gbm.feature_importance()\n",
     "feature_importance = feature_importance.sort_values('fea_imp', ascending=False)\n",
     "\n",
-    "plt.figure(figsize=[40, 20])\n",
+    "plt.figure(figsize=[20, 10])\n",
     "ax = sns.barplot(x=feature_importance['fea_name'], y=feature_importance['fea_imp'])\n",
-    "ax.set_xticklabels(labels=feature_cols, rotation=45, fontsize=6)\n",
+    "ax.set_xticklabels(labels=feature_importance['fea_name'], rotation=45, fontsize=18)\n",
     "ax.set_yticklabels(labels=[0, 2000, 4000, 6000, 8000, 10000, 12000, 14000, 16000], fontsize=6)\n",
     "plt.xlabel('fea_name', fontsize=18)\n",
     "plt.ylabel('fea_imp', fontsize=18)\n",
@@ -1344,7 +1344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "outputs": [],
    "source": [
     "import seaborn as sns"
@@ -1358,7 +1358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 18,
    "outputs": [],
    "source": [
     "from sklearn.preprocessing import MinMaxScaler"
@@ -1372,7 +1372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "outputs": [],
    "source": [],
    "metadata": {
diff --git a/各个机组特征工程.ipynb b/各个机组特征工程.ipynb
new file mode 100644
index 0000000..444b85d
--- /dev/null
+++ b/各个机组特征工程.ipynb
@@ -0,0 +1,756 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "dict_keys(['浙江秀舟', '武乡西山', '邯郸东郊', '建投遵化'])"
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_data = pd.read_excel('data/电厂日数据.xlsx', sheet_name=None)\n",
+    "daily_data.keys()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "zjxz_daily = daily_data.get('浙江秀舟')\n",
+    "wxxs_daily = daily_data.get('武乡西山')\n",
+    "hddj_daily = daily_data.get('邯郸东郊')\n",
+    "jtzh_daily = daily_data.get('建投遵化')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "         days  发电量（千瓦时）  供热量（吉焦）  燃料消耗量（吨）      流量 （m3/h）  氮氧化物浓度(mg/m3)  \\\n0  2018-10-01  156796.0  6536.83       323  162345.192917      24.515087   \n1  2018-10-02  133984.0  2484.64       218  140175.330833      18.829456   \n2  2018-10-03  134023.0  3020.83       212  154686.184167      20.891797   \n3  2018-10-04  124765.0  5599.23       223  120345.545833      18.641687   \n4  2018-10-05  134414.0  4702.65       243  162533.103542      22.031219   \n\n      含氧量（%）      温度（℃）  二氧化硫浓度(mg/m3)  烟尘浓度(mg/m3)  发电量（万千瓦时）  \n0   9.900000  51.250000       4.721475     0.176932    15.6796  \n1   9.400000  50.679167       3.698115     0.161356    13.3984  \n2   8.550000  52.808333       6.381178     0.117507    13.4023  \n3  10.202083  48.854167       2.393757     0.761287    12.4765  \n4  11.497917  45.783333       0.338422     1.842860    13.4414  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>流量 （m3/h）</th>\n      <th>氮氧化物浓度(mg/m3)</th>\n      <th>含氧量（%）</th>\n      <th>温度（℃）</th>\n      <th>二氧化硫浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>发电量（万千瓦时）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.0</td>\n      <td>6536.83</td>\n      <td>323</td>\n      <td>162345.192917</td>\n      <td>24.515087</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>4.721475</td>\n      <td>0.176932</td>\n      <td>15.6796</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.0</td>\n      <td>2484.64</td>\n      <td>218</td>\n      <td>140175.330833</td>\n      <td>18.829456</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>3.698115</td>\n      <td>0.161356</td>\n      <td>13.3984</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.0</td>\n      <td>3020.83</td>\n      <td>212</td>\n      <td>154686.184167</td>\n      <td>20.891797</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>6.381178</td>\n      <td>0.117507</td>\n      <td>13.4023</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.0</td>\n      <td>5599.23</td>\n      <td>223</td>\n      <td>120345.545833</td>\n      <td>18.641687</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.393757</td>\n      <td>0.761287</td>\n      <td>12.4765</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.0</td>\n      <td>4702.65</td>\n      <td>243</td>\n      <td>162533.103542</td>\n      <td>22.031219</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.338422</td>\n      <td>1.842860</td>\n      <td>13.4414</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "zjxz_daily['发电量（万千瓦时）'] = zjxz_daily['发电量（千瓦时）'] / 10000\n",
+    "zjxz_daily.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [],
+   "source": [
+    "zjxz_daily.rename(columns={'流量 （m3/h）': 'flow', '温度（℃）': 'temperature', '含氧量（%）': 'r_O2'}, inplace=True)\n",
+    "zjxz_daily['c_smoke'] = zjxz_daily['flow'] * zjxz_daily['烟尘浓度(mg/m3)']\n",
+    "zjxz_daily['c_NO2'] = zjxz_daily['flow'] * zjxz_daily['氮氧化物浓度(mg/m3)']\n",
+    "zjxz_daily['c_SO2'] = zjxz_daily['flow'] * zjxz_daily['二氧化硫浓度(mg/m3)']\n",
+    "zjxz_daily['企业名称'] = '浙江秀舟热电有限公司'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [],
+   "source": [
+    "zjxz_daily_final = zjxz_daily[\n",
+    "    ['days', '企业名称', 'r_O2', 'temperature', '发电量（万千瓦时）', '供热量（吉焦）', 'c_smoke', 'c_NO2', 'c_SO2', 'flow', '燃料消耗量（吨）']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [],
+   "source": [
+    "wxxs_daily.rename(columns={'Unnamed: 0': 'days'}, inplace=True)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "outputs": [],
+   "source": [
+    "num_cols = [x for x in wxxs_daily.columns if x not in ['days', '企业名称', '机组1_状态', '机组2_状态']]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "(112, 23)"
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wxxs_daily.dropna(inplace=True)\n",
+    "wxxs_daily = wxxs_daily[~((wxxs_daily['机组1_状态'] == '停运') & (wxxs_daily['机组2_状态'] == '停运'))].copy()\n",
+    "wxxs_daily.shape"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['days', '发电量_1（万千瓦时）', '供热量_1（吉焦）', '燃料消耗量_1（吨）', '发电量_2（万千瓦时）',\n       '供热量_2（吉焦）', '燃料消耗量_2（吨）', '企业名称', '发电量（万千瓦时）', '供热量（吉焦）', '燃料消耗量（吨）',\n       '机组1_二氧化硫浓度(mg/m3)', '机组1_氮氧化物浓度(mg/m3)', '机组1_烟尘浓度(mg/m3)',\n       '机组1_流速(m/s)', '机组1_流量(m3/h)', '机组1_状态', '机组2_二氧化硫浓度(mg/m3)',\n       '机组2_氮氧化物浓度(mg/m3)', '机组2_烟尘浓度(mg/m3)', '机组2_流速(m/s)', '机组2_流量(m3/h)',\n       '机组2_状态'],\n      dtype='object')"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wxxs_daily.columns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [],
+   "source": [
+    "wxxs_unit_1 = wxxs_daily[['days', '企业名称']].copy()\n",
+    "wxxs_unit_2 = wxxs_daily[['days', '企业名称']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [],
+   "source": [
+    "wxxs_unit_1['c_smoke'] = wxxs_daily['机组1_流量(m3/h)'] * wxxs_daily['机组1_烟尘浓度(mg/m3)']\n",
+    "wxxs_unit_1['c_NO2'] =  wxxs_daily['机组1_流量(m3/h)'] * wxxs_daily['机组1_氮氧化物浓度(mg/m3)']\n",
+    "wxxs_unit_1['c_SO2'] =  wxxs_daily['机组1_流量(m3/h)'] * wxxs_daily['机组1_二氧化硫浓度(mg/m3)']\n",
+    "wxxs_unit_1['flow'] = wxxs_daily['机组1_流量(m3/h)']\n",
+    "wxxs_unit_1['r_O2'] = np.nan\n",
+    "wxxs_unit_1['temperature'] = np.nan\n",
+    "wxxs_unit_1['发电量（万千瓦时）'] = wxxs_daily['发电量_1（万千瓦时）']\n",
+    "wxxs_unit_1['供热量（吉焦）'] = wxxs_daily['供热量_1（吉焦）']\n",
+    "wxxs_unit_1['燃料消耗量（吨）'] = wxxs_daily['燃料消耗量_1（吨）']\n",
+    "\n",
+    "wxxs_unit_2['c_smoke'] = wxxs_daily['机组2_流量(m3/h)'] * wxxs_daily['机组2_烟尘浓度(mg/m3)']\n",
+    "wxxs_unit_2['c_NO2'] =  wxxs_daily['机组2_流量(m3/h)'] * wxxs_daily['机组2_氮氧化物浓度(mg/m3)']\n",
+    "wxxs_unit_2['c_SO2'] =  wxxs_daily['机组2_流量(m3/h)'] * wxxs_daily['机组2_二氧化硫浓度(mg/m3)']\n",
+    "wxxs_unit_2['flow'] = wxxs_daily['机组2_流量(m3/h)']\n",
+    "wxxs_unit_2['r_O2'] = np.nan\n",
+    "wxxs_unit_2['temperature'] = np.nan\n",
+    "wxxs_unit_2['发电量（万千瓦时）'] = wxxs_daily['发电量_2（万千瓦时）']\n",
+    "wxxs_unit_2['供热量（吉焦）'] = wxxs_daily['供热量_2（吉焦）']\n",
+    "wxxs_unit_2['燃料消耗量（吨）'] = wxxs_daily['燃料消耗量_2（吨）']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "outputs": [],
+   "source": [
+    "wxxs_daily_final = pd.concat([wxxs_unit_1, wxxs_unit_2], axis=0)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "(59, 28)"
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hddj_daily.rename(columns={'Unnamed: 0': 'days'}, inplace=True)\n",
+    "hddj_daily.shape"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['days', '发电量_1（万千瓦时）', '供热量_1（吉焦）', '燃料消耗量_1（吨）', '发电量_2（万千瓦时）',\n       '供热量_2（吉焦）', '燃料消耗量_2（吨）', '企业名称', '机组1_流量 （m3/h）', '机组1_NOx浓度(mg/m3)',\n       '机组1_SO2浓度(mg/m3)', '机组1_烟尘浓度(mg/m3)', '机组1_含氧量（%）', '机组1_温度（℃）',\n       '机组1_烟气湿度（%）', '机组1_烟气压力（千帕）', '机组1_烟气流速（m/s）', '机组1_状态',\n       '机组2_流量 （m3/h）', '机组2_NOx浓度(mg/m3)', '机组2_SO2浓度(mg/m3)',\n       '机组2_烟尘浓度(mg/m3)', '机组2_含氧量（%）', '机组2_温度（℃）', '机组2_烟气湿度（%）',\n       '机组2_烟气压力（千帕）', '机组2_烟气流速（m/s）', '机组2_状态'],\n      dtype='object')"
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hddj_daily.columns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "outputs": [],
+   "source": [
+    "hddj_unit_1 = hddj_daily[['days', '企业名称']].copy()\n",
+    "hddj_unit_2 = hddj_daily[['days', '企业名称']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "outputs": [],
+   "source": [
+    "hddj_unit_1['c_smoke'] = hddj_daily['机组1_流量 （m3/h）'] * hddj_daily['机组1_烟尘浓度(mg/m3)']\n",
+    "hddj_unit_1['c_NO2'] = hddj_daily['机组1_流量 （m3/h）'] * hddj_daily['机组1_NOx浓度(mg/m3)']\n",
+    "hddj_unit_1['c_SO2'] = hddj_daily['机组1_流量 （m3/h）'] * hddj_daily['机组1_SO2浓度(mg/m3)']\n",
+    "hddj_unit_1['flow'] = hddj_daily['机组1_流量 （m3/h）']\n",
+    "hddj_unit_1['r_O2'] = hddj_daily['机组1_含氧量（%）']\n",
+    "hddj_unit_1['发电量（万千瓦时）'] = hddj_daily['发电量_1（万千瓦时）']\n",
+    "hddj_unit_1['供热量（吉焦）'] = hddj_daily['供热量_1（吉焦）']\n",
+    "hddj_unit_1['temperature'] = hddj_daily['机组1_温度（℃）']\n",
+    "hddj_unit_1['燃料消耗量（吨）'] = hddj_daily['燃料消耗量_1（吨）']\n",
+    "\n",
+    "hddj_unit_2['c_smoke'] = hddj_daily['机组2_流量 （m3/h）'] * hddj_daily['机组2_烟尘浓度(mg/m3)']\n",
+    "hddj_unit_2['c_NO2'] = hddj_daily['机组2_流量 （m3/h）'] * hddj_daily['机组2_NOx浓度(mg/m3)']\n",
+    "hddj_unit_2['c_SO2'] = hddj_daily['机组2_流量 （m3/h）'] * hddj_daily['机组2_SO2浓度(mg/m3)']\n",
+    "hddj_unit_2['flow'] = hddj_daily['机组2_流量 （m3/h）']\n",
+    "hddj_unit_2['r_O2'] = hddj_daily['机组2_含氧量（%）']\n",
+    "hddj_unit_2['发电量（万千瓦时）'] = hddj_daily['发电量_2（万千瓦时）']\n",
+    "hddj_unit_2['供热量（吉焦）'] = hddj_daily['供热量_2（吉焦）']\n",
+    "hddj_unit_2['temperature'] = hddj_daily['机组2_温度（℃）']\n",
+    "hddj_unit_2['燃料消耗量（吨）'] = hddj_daily['燃料消耗量_2（吨）']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [],
+   "source": [
+    "hddj_daily_final = pd.concat([hddj_unit_1, hddj_unit_2], axis=0)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "(31, 26)"
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily.rename(columns={'Unnamed: 0': 'days'}, inplace=True)\n",
+    "jtzh_daily['机组1_状态'] = (jtzh_daily['机组1_状态'] == '正常运行') * 1\n",
+    "jtzh_daily['机组2_状态'] = (jtzh_daily['机组2_状态'] == '正常运行') * 1\n",
+    "jtzh_daily.shape"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['days', '发电量_1（万千瓦时）', '供热量_1（吉焦）', '燃料消耗量_1（吨）', '发电量_2（万千瓦时）',\n       '供热量_2（吉焦）', '燃料消耗量_2（吨）', '企业名称', '机组1_流量 （m3/h）', '机组1_NOx浓度(mg/m3)',\n       '机组1_SO2浓度(mg/m3)', '机组1_烟尘浓度(mg/m3)', '机组1_含氧量（%）', '机组1_温度（℃）',\n       '机组1_烟气湿度（%）', '机组1_烟气流速（m/s）', '机组1_状态', '机组2_流量 （m3/h）',\n       '机组2_NOx浓度(mg/m3)', '机组2_SO2浓度(mg/m3)', '机组2_烟尘浓度(mg/m3)', '机组2_含氧量（%）',\n       '机组2_温度（℃）', '机组2_烟气湿度（%）', '机组2_烟气流速（m/s）', '机组2_状态'],\n      dtype='object')"
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily.columns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "outputs": [],
+   "source": [
+    "jtzh_unit_1 = jtzh_daily[['days', '企业名称']].copy()\n",
+    "jtzh_unit_2 = jtzh_daily[['days', '企业名称']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "outputs": [],
+   "source": [
+    "jtzh_unit_1['c_smoke'] = jtzh_daily['机组1_流量 （m3/h）'] * jtzh_daily['机组1_烟尘浓度(mg/m3)']\n",
+    "jtzh_unit_1['c_NO2'] = jtzh_daily['机组1_流量 （m3/h）'] * jtzh_daily['机组1_NOx浓度(mg/m3)']\n",
+    "jtzh_unit_1['c_SO2'] = jtzh_daily['机组1_流量 （m3/h）'] * jtzh_daily['机组1_SO2浓度(mg/m3)']\n",
+    "jtzh_unit_1['flow'] = jtzh_daily['机组1_流量 （m3/h）']\n",
+    "jtzh_unit_1['r_O2'] = jtzh_daily['机组1_含氧量（%）']\n",
+    "jtzh_unit_1['temperature'] = jtzh_daily['机组1_温度（℃）']\n",
+    "jtzh_unit_1['发电量（万千瓦时）'] = jtzh_daily['发电量_2（万千瓦时）']\n",
+    "jtzh_unit_1['供热量（吉焦）'] = jtzh_daily['供热量_2（吉焦）']\n",
+    "jtzh_unit_1['燃料消耗量（吨）'] = jtzh_daily['燃料消耗量_1（吨）']\n",
+    "\n",
+    "jtzh_unit_2['c_smoke'] = jtzh_daily['机组2_流量 （m3/h）'] * jtzh_daily['机组2_烟尘浓度(mg/m3)']\n",
+    "jtzh_unit_2['c_NO2'] = jtzh_daily['机组2_流量 （m3/h）'] * jtzh_daily['机组2_NOx浓度(mg/m3)']\n",
+    "jtzh_unit_2['c_SO2'] = jtzh_daily['机组2_流量 （m3/h）'] * jtzh_daily['机组2_SO2浓度(mg/m3)']\n",
+    "jtzh_unit_2['flow'] = jtzh_daily['机组2_流量 （m3/h）']\n",
+    "jtzh_unit_2['r_O2'] = jtzh_daily['机组2_含氧量（%）']\n",
+    "jtzh_unit_2['temperature'] = jtzh_daily['机组2_温度（℃）']\n",
+    "jtzh_unit_2['发电量（万千瓦时）'] = jtzh_daily['发电量_2（万千瓦时）']\n",
+    "jtzh_unit_2['供热量（吉焦）'] = jtzh_daily['供热量_2（吉焦）']\n",
+    "jtzh_unit_2['燃料消耗量（吨）'] = jtzh_daily['燃料消耗量_2（吨）']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "          days          企业名称       c_smoke         c_NO2         c_SO2  \\\n0   2022-05-01  建投遵化热电有限责任公司  1.467475e+06  1.063321e+07  1.055453e+07   \n1   2022-05-02  建投遵化热电有限责任公司  1.558803e+06  1.328556e+07  1.074905e+07   \n2   2022-05-03  建投遵化热电有限责任公司  1.427659e+06  1.111851e+07  9.591219e+06   \n3   2022-05-04  建投遵化热电有限责任公司  1.499975e+06  1.164537e+07  1.007516e+07   \n4   2022-05-05  建投遵化热电有限责任公司  1.724199e+06  1.227060e+07  1.193453e+07   \n..         ...           ...           ...           ...           ...   \n26  2022-05-27  建投遵化热电有限责任公司  1.020390e+06  1.173919e+07  1.101318e+07   \n27  2022-05-28  建投遵化热电有限责任公司  1.169393e+06  1.393048e+07  1.335698e+07   \n28  2022-05-29  建投遵化热电有限责任公司  1.124243e+06  1.267043e+07  1.129934e+07   \n29  2022-05-30  建投遵化热电有限责任公司  1.296293e+06  1.442430e+07  1.434195e+07   \n30  2022-05-31  建投遵化热电有限责任公司  1.554891e+06  1.758048e+07  1.593381e+07   \n\n      flow      r_O2  temperature  发电量（万千瓦时）  供热量（吉焦）  燃料消耗量（吨）  \n0   820965  7.795833    52.320833      0.000        0      1889  \n1   907380  7.295833    53.145833      0.000        0      2622  \n2   771360  7.650000    51.841667      0.000        0      2233  \n3   780390  7.462500    51.808333      0.000        0      2203  \n4   870075  7.195833    52.354167      0.000        0      2524  \n..     ...       ...          ...        ...      ...       ...  \n26  836100  6.329167    44.741667    467.106        0      2401  \n27  895515  6.183333    45.587500    504.900        0      2611  \n28  837945  6.425000    45.545833    462.822        0      2846  \n29  915030  6.162500    45.175000    528.960        0      2981  \n30  992220  5.570833    46.100000    672.180        0      3560  \n\n[62 rows x 11 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>企业名称</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>r_O2</th>\n      <th>temperature</th>\n      <th>发电量（万千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-05-01</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.467475e+06</td>\n      <td>1.063321e+07</td>\n      <td>1.055453e+07</td>\n      <td>820965</td>\n      <td>7.795833</td>\n      <td>52.320833</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>1889</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-05-02</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.558803e+06</td>\n      <td>1.328556e+07</td>\n      <td>1.074905e+07</td>\n      <td>907380</td>\n      <td>7.295833</td>\n      <td>53.145833</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>2622</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-05-03</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.427659e+06</td>\n      <td>1.111851e+07</td>\n      <td>9.591219e+06</td>\n      <td>771360</td>\n      <td>7.650000</td>\n      <td>51.841667</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>2233</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-05-04</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.499975e+06</td>\n      <td>1.164537e+07</td>\n      <td>1.007516e+07</td>\n      <td>780390</td>\n      <td>7.462500</td>\n      <td>51.808333</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>2203</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-05-05</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.724199e+06</td>\n      <td>1.227060e+07</td>\n      <td>1.193453e+07</td>\n      <td>870075</td>\n      <td>7.195833</td>\n      <td>52.354167</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>2524</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2022-05-27</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.020390e+06</td>\n      <td>1.173919e+07</td>\n      <td>1.101318e+07</td>\n      <td>836100</td>\n      <td>6.329167</td>\n      <td>44.741667</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2022-05-28</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.169393e+06</td>\n      <td>1.393048e+07</td>\n      <td>1.335698e+07</td>\n      <td>895515</td>\n      <td>6.183333</td>\n      <td>45.587500</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2022-05-29</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.124243e+06</td>\n      <td>1.267043e+07</td>\n      <td>1.129934e+07</td>\n      <td>837945</td>\n      <td>6.425000</td>\n      <td>45.545833</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-05-30</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.296293e+06</td>\n      <td>1.442430e+07</td>\n      <td>1.434195e+07</td>\n      <td>915030</td>\n      <td>6.162500</td>\n      <td>45.175000</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-05-31</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1.554891e+06</td>\n      <td>1.758048e+07</td>\n      <td>1.593381e+07</td>\n      <td>992220</td>\n      <td>5.570833</td>\n      <td>46.100000</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n    </tr>\n  </tbody>\n</table>\n<p>62 rows × 11 columns</p>\n</div>"
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily_final = pd.concat([jtzh_unit_1, jtzh_unit_2], axis=0)\n",
+    "jtzh_daily_final"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [],
+   "source": [
+    "all_daily_data = pd.concat([zjxz_daily_final, wxxs_daily_final, hddj_daily_final, jtzh_daily_final])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "outputs": [],
+   "source": [
+    "unit_features = pd.read_excel('data/电厂特征表.xlsx', header=None).T"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "               企业名称                地址   省份            经度            纬度  \\\n1        浙江秀舟热电有限公司         嘉兴市南湖区凤桥镇  浙江省  120°51′5.54″  30°39′14.76″   \n2      武乡西山发电有限责任公司      山西省武乡县丰州镇下城村  山西省    112°51′11″      36°50′0″   \n3  国电电力邯郸东郊热电有限责任公司  河北肥乡经济开发区光明西路11号  河北省     114°39'0\"      36°34'0\"   \n4      建投遵化热电有限责任公司    河北省遵化市新店子镇程庄子村  河北省    117°58'40\"      40°4'33\"   \n\n  烟囱高度（m）           脱硝工艺 脱硝剂名称 脱硝设备数量       脱硫工艺  ... 发电机组1_单机容量（MW）  \\\n1      80       SNCR SCR    氨水      3   石灰石-石膏湿法  ...             15   \n2     240            SCR    尿素      2  石灰石--石膏湿法  ...            600   \n3     NaN  采用高效低氮燃烧器＋SCR   NaN    NaN   石灰石-石膏湿法  ...            350   \n4     NaN  采用高效低氮燃烧器＋SCR   NaN    NaN   石灰石-石膏湿法  ...            350   \n\n            发电机组1_投产日期 发电机组1_汽轮机类型 发电机组1_压力参数 发电机组1_冷却方式 发电机组2_单机容量（MW）  \\\n1  2014-07-01 00:00:00         背压式         高压    水冷-闭式循环             15   \n2  2006-10-07 00:00:00         抽凝式        亚临界    空冷-直接空冷            600   \n3  2019-06-08 00:00:00         抽凝式       超超临界    水冷-闭式循环            350   \n4  2019-07-09 00:00:00         抽凝式        超临界    水冷-闭式循环            350   \n\n            发电机组2_投产日期 发电机组2_汽轮机类型 发电机组2_压力参数 发电机组2_冷却方式  \n1  2018-08-01 00:00:00         抽背式         高压    水冷-闭式循环  \n2  2007-01-07 00:00:00         抽凝式        亚临界    空冷-直接空冷  \n3  2019-06-08 00:00:00         抽凝式       超超临界    水冷-闭式循环  \n4  2020-05-02 00:00:00         抽凝式        超临界    水冷-闭式循环  \n\n[4 rows x 33 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>企业名称</th>\n      <th>地址</th>\n      <th>省份</th>\n      <th>经度</th>\n      <th>纬度</th>\n      <th>烟囱高度（m）</th>\n      <th>脱硝工艺</th>\n      <th>脱硝剂名称</th>\n      <th>脱硝设备数量</th>\n      <th>脱硫工艺</th>\n      <th>...</th>\n      <th>发电机组1_单机容量（MW）</th>\n      <th>发电机组1_投产日期</th>\n      <th>发电机组1_汽轮机类型</th>\n      <th>发电机组1_压力参数</th>\n      <th>发电机组1_冷却方式</th>\n      <th>发电机组2_单机容量（MW）</th>\n      <th>发电机组2_投产日期</th>\n      <th>发电机组2_汽轮机类型</th>\n      <th>发电机组2_压力参数</th>\n      <th>发电机组2_冷却方式</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>嘉兴市南湖区凤桥镇</td>\n      <td>浙江省</td>\n      <td>120°51′5.54″</td>\n      <td>30°39′14.76″</td>\n      <td>80</td>\n      <td>SNCR SCR</td>\n      <td>氨水</td>\n      <td>3</td>\n      <td>石灰石-石膏湿法</td>\n      <td>...</td>\n      <td>15</td>\n      <td>2014-07-01 00:00:00</td>\n      <td>背压式</td>\n      <td>高压</td>\n      <td>水冷-闭式循环</td>\n      <td>15</td>\n      <td>2018-08-01 00:00:00</td>\n      <td>抽背式</td>\n      <td>高压</td>\n      <td>水冷-闭式循环</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>武乡西山发电有限责任公司</td>\n      <td>山西省武乡县丰州镇下城村</td>\n      <td>山西省</td>\n      <td>112°51′11″</td>\n      <td>36°50′0″</td>\n      <td>240</td>\n      <td>SCR</td>\n      <td>尿素</td>\n      <td>2</td>\n      <td>石灰石--石膏湿法</td>\n      <td>...</td>\n      <td>600</td>\n      <td>2006-10-07 00:00:00</td>\n      <td>抽凝式</td>\n      <td>亚临界</td>\n      <td>空冷-直接空冷</td>\n      <td>600</td>\n      <td>2007-01-07 00:00:00</td>\n      <td>抽凝式</td>\n      <td>亚临界</td>\n      <td>空冷-直接空冷</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>河北肥乡经济开发区光明西路11号</td>\n      <td>河北省</td>\n      <td>114°39'0\"</td>\n      <td>36°34'0\"</td>\n      <td>NaN</td>\n      <td>采用高效低氮燃烧器＋SCR</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>石灰石-石膏湿法</td>\n      <td>...</td>\n      <td>350</td>\n      <td>2019-06-08 00:00:00</td>\n      <td>抽凝式</td>\n      <td>超超临界</td>\n      <td>水冷-闭式循环</td>\n      <td>350</td>\n      <td>2019-06-08 00:00:00</td>\n      <td>抽凝式</td>\n      <td>超超临界</td>\n      <td>水冷-闭式循环</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>河北省遵化市新店子镇程庄子村</td>\n      <td>河北省</td>\n      <td>117°58'40\"</td>\n      <td>40°4'33\"</td>\n      <td>NaN</td>\n      <td>采用高效低氮燃烧器＋SCR</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>石灰石-石膏湿法</td>\n      <td>...</td>\n      <td>350</td>\n      <td>2019-07-09 00:00:00</td>\n      <td>抽凝式</td>\n      <td>超临界</td>\n      <td>水冷-闭式循环</td>\n      <td>350</td>\n      <td>2020-05-02 00:00:00</td>\n      <td>抽凝式</td>\n      <td>超临界</td>\n      <td>水冷-闭式循环</td>\n    </tr>\n  </tbody>\n</table>\n<p>4 rows × 33 columns</p>\n</div>"
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unit_features = unit_features.rename(columns=unit_features.iloc[0]).drop(unit_features.index[0])\n",
+    "unit_features.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [],
+   "source": [
+    "unit_features.to_excel('data/机组特征表.xlsx')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "outputs": [],
+   "source": [
+    "unit_features_used = unit_features[['企业名称', '生产设备类型', '燃料类型', '低位发热量（GJ/t）']].copy()\n",
+    "unit_features_used['汽轮机类型'] = unit_features['发电机组1_汽轮机类型']\n",
+    "unit_features_used['冷却方式'] = unit_features['发电机组1_冷却方式']\n",
+    "unit_features_used['额定蒸发量'] = unit_features['锅炉1额定蒸发量 t/h'] + unit_features['锅炉2额定蒸发量 t/h']\n",
+    "unit_features_used['压力参数'] = unit_features['发电机组1_压力参数']\n",
+    "unit_features_used['单机容量'] = unit_features['发电机组1_单机容量（MW）'] + unit_features['发电机组2_单机容量（MW）']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "outputs": [],
+   "source": [
+    "for i in range(2, 5):\n",
+    "    unit_features_used.loc[i, '额定蒸发量'] = unit_features_used.loc[i, '额定蒸发量'] / 2\n",
+    "    unit_features_used.loc[i, '单机容量'] = unit_features_used.loc[i, '单机容量'] / 2"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "               企业名称       生产设备类型     燃料类型 低位发热量（GJ/t） 汽轮机类型     冷却方式   额定蒸发量  \\\n1        浙江秀舟热电有限公司  高温高压循环流化床锅炉  中高挥发分烟煤      20.501   背压式  水冷-闭式循环     230   \n2      武乡西山发电有限责任公司         煤粉锅炉       褐煤      18.643   抽凝式  空冷-直接空冷  2080.0   \n3  国电电力邯郸东郊热电有限责任公司         煤粉锅炉   低挥发分烟煤      19.087   抽凝式  水冷-闭式循环  1125.0   \n4      建投遵化热电有限责任公司         煤粉锅炉     一般烟煤      14.682   抽凝式  水冷-闭式循环  1172.0   \n\n   压力参数   单机容量  \n1    高压     30  \n2   亚临界  600.0  \n3  超超临界  350.0  \n4   超临界  350.0  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>企业名称</th>\n      <th>生产设备类型</th>\n      <th>燃料类型</th>\n      <th>低位发热量（GJ/t）</th>\n      <th>汽轮机类型</th>\n      <th>冷却方式</th>\n      <th>额定蒸发量</th>\n      <th>压力参数</th>\n      <th>单机容量</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230</td>\n      <td>高压</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>武乡西山发电有限责任公司</td>\n      <td>煤粉锅炉</td>\n      <td>褐煤</td>\n      <td>18.643</td>\n      <td>抽凝式</td>\n      <td>空冷-直接空冷</td>\n      <td>2080.0</td>\n      <td>亚临界</td>\n      <td>600.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>煤粉锅炉</td>\n      <td>低挥发分烟煤</td>\n      <td>19.087</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1125.0</td>\n      <td>超超临界</td>\n      <td>350.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unit_features_used"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "outputs": [],
+   "source": [
+    "final_data = all_daily_data.merge(unit_features_used, how='left', on='企业名称')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [],
+   "source": [
+    "import datetime as dt"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "outputs": [],
+   "source": [
+    "def cal_timedelta(x):\n",
+    "    date = dt.datetime.strptime(x, '%Y-%m-%d')\n",
+    "    date = dt.date(date.year, date.month, date.day)\n",
+    "    start_date = dt.date(date.year, 1, 1)\n",
+    "    time_delta = (date - start_date).days\n",
+    "    return time_delta"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "outputs": [],
+   "source": [
+    "final_data['day_of_year'] = final_data.days.apply(cal_timedelta)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "outputs": [],
+   "source": [
+    "final_data['week_of_year'] = final_data['day_of_year'] // 7"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "            days          企业名称       r_O2  temperature  发电量（万千瓦时）  供热量（吉焦）  \\\n0     2018-10-01    浙江秀舟热电有限公司   9.900000    51.250000    15.6796  6536.83   \n1     2018-10-02    浙江秀舟热电有限公司   9.400000    50.679167    13.3984  2484.64   \n2     2018-10-03    浙江秀舟热电有限公司   8.550000    52.808333    13.4023  3020.83   \n3     2018-10-04    浙江秀舟热电有限公司  10.202083    48.854167    12.4765  5599.23   \n4     2018-10-05    浙江秀舟热电有限公司  11.497917    45.783333    13.4414  4702.65   \n...          ...           ...        ...          ...        ...      ...   \n1486  2022-05-27  建投遵化热电有限责任公司   6.329167    44.741667   467.1060     0.00   \n1487  2022-05-28  建投遵化热电有限责任公司   6.183333    45.587500   504.9000     0.00   \n1488  2022-05-29  建投遵化热电有限责任公司   6.425000    45.545833   462.8220     0.00   \n1489  2022-05-30  建投遵化热电有限责任公司   6.162500    45.175000   528.9600     0.00   \n1490  2022-05-31  建投遵化热电有限责任公司   5.570833    46.100000   672.1800     0.00   \n\n           c_smoke         c_NO2         c_SO2           flow  ...  \\\n0     2.872405e+04  3.979907e+06  7.665088e+05  162345.192917  ...   \n1     2.261807e+04  2.639425e+06  5.183845e+05  140175.330833  ...   \n2     1.817677e+04  3.231672e+06  9.870800e+05  154686.184167  ...   \n3     9.161746e+04  2.243444e+06  2.880779e+05  120345.545833  ...   \n4     2.995257e+05  3.580802e+06  5.500482e+04  162533.103542  ...   \n...            ...           ...           ...            ...  ...   \n1486  1.020390e+06  1.173919e+07  1.101318e+07  836100.000000  ...   \n1487  1.169393e+06  1.393048e+07  1.335698e+07  895515.000000  ...   \n1488  1.124243e+06  1.267043e+07  1.129934e+07  837945.000000  ...   \n1489  1.296293e+06  1.442430e+07  1.434195e+07  915030.000000  ...   \n1490  1.554891e+06  1.758048e+07  1.593381e+07  992220.000000  ...   \n\n           生产设备类型     燃料类型 低位发热量（GJ/t） 汽轮机类型     冷却方式   额定蒸发量 压力参数   单机容量  \\\n0     高温高压循环流化床锅炉  中高挥发分烟煤      20.501   背压式  水冷-闭式循环     230   高压     30   \n1     高温高压循环流化床锅炉  中高挥发分烟煤      20.501   背压式  水冷-闭式循环     230   高压     30   \n2     高温高压循环流化床锅炉  中高挥发分烟煤      20.501   背压式  水冷-闭式循环     230   高压     30   \n3     高温高压循环流化床锅炉  中高挥发分烟煤      20.501   背压式  水冷-闭式循环     230   高压     30   \n4     高温高压循环流化床锅炉  中高挥发分烟煤      20.501   背压式  水冷-闭式循环     230   高压     30   \n...           ...      ...         ...   ...      ...     ...  ...    ...   \n1486         煤粉锅炉     一般烟煤      14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0   \n1487         煤粉锅炉     一般烟煤      14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0   \n1488         煤粉锅炉     一般烟煤      14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0   \n1489         煤粉锅炉     一般烟煤      14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0   \n1490         煤粉锅炉     一般烟煤      14.682   抽凝式  水冷-闭式循环  1172.0  超临界  350.0   \n\n     day_of_year  week_of_year  \n0            273            39  \n1            274            39  \n2            275            39  \n3            276            39  \n4            277            39  \n...          ...           ...  \n1486         146            20  \n1487         147            21  \n1488         148            21  \n1489         149            21  \n1490         150            21  \n\n[1491 rows x 21 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>企业名称</th>\n      <th>r_O2</th>\n      <th>temperature</th>\n      <th>发电量（万千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>...</th>\n      <th>生产设备类型</th>\n      <th>燃料类型</th>\n      <th>低位发热量（GJ/t）</th>\n      <th>汽轮机类型</th>\n      <th>冷却方式</th>\n      <th>额定蒸发量</th>\n      <th>压力参数</th>\n      <th>单机容量</th>\n      <th>day_of_year</th>\n      <th>week_of_year</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>15.6796</td>\n      <td>6536.83</td>\n      <td>2.872405e+04</td>\n      <td>3.979907e+06</td>\n      <td>7.665088e+05</td>\n      <td>162345.192917</td>\n      <td>...</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230</td>\n      <td>高压</td>\n      <td>30</td>\n      <td>273</td>\n      <td>39</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>13.3984</td>\n      <td>2484.64</td>\n      <td>2.261807e+04</td>\n      <td>2.639425e+06</td>\n      <td>5.183845e+05</td>\n      <td>140175.330833</td>\n      <td>...</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230</td>\n      <td>高压</td>\n      <td>30</td>\n      <td>274</td>\n      <td>39</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>13.4023</td>\n      <td>3020.83</td>\n      <td>1.817677e+04</td>\n      <td>3.231672e+06</td>\n      <td>9.870800e+05</td>\n      <td>154686.184167</td>\n      <td>...</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230</td>\n      <td>高压</td>\n      <td>30</td>\n      <td>275</td>\n      <td>39</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>12.4765</td>\n      <td>5599.23</td>\n      <td>9.161746e+04</td>\n      <td>2.243444e+06</td>\n      <td>2.880779e+05</td>\n      <td>120345.545833</td>\n      <td>...</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230</td>\n      <td>高压</td>\n      <td>30</td>\n      <td>276</td>\n      <td>39</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>13.4414</td>\n      <td>4702.65</td>\n      <td>2.995257e+05</td>\n      <td>3.580802e+06</td>\n      <td>5.500482e+04</td>\n      <td>162533.103542</td>\n      <td>...</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230</td>\n      <td>高压</td>\n      <td>30</td>\n      <td>277</td>\n      <td>39</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1486</th>\n      <td>2022-05-27</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>6.329167</td>\n      <td>44.741667</td>\n      <td>467.1060</td>\n      <td>0.00</td>\n      <td>1.020390e+06</td>\n      <td>1.173919e+07</td>\n      <td>1.101318e+07</td>\n      <td>836100.000000</td>\n      <td>...</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>146</td>\n      <td>20</td>\n    </tr>\n    <tr>\n      <th>1487</th>\n      <td>2022-05-28</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>6.183333</td>\n      <td>45.587500</td>\n      <td>504.9000</td>\n      <td>0.00</td>\n      <td>1.169393e+06</td>\n      <td>1.393048e+07</td>\n      <td>1.335698e+07</td>\n      <td>895515.000000</td>\n      <td>...</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>147</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>1488</th>\n      <td>2022-05-29</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>6.425000</td>\n      <td>45.545833</td>\n      <td>462.8220</td>\n      <td>0.00</td>\n      <td>1.124243e+06</td>\n      <td>1.267043e+07</td>\n      <td>1.129934e+07</td>\n      <td>837945.000000</td>\n      <td>...</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>148</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>1489</th>\n      <td>2022-05-30</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>6.162500</td>\n      <td>45.175000</td>\n      <td>528.9600</td>\n      <td>0.00</td>\n      <td>1.296293e+06</td>\n      <td>1.442430e+07</td>\n      <td>1.434195e+07</td>\n      <td>915030.000000</td>\n      <td>...</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>149</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>1490</th>\n      <td>2022-05-31</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>5.570833</td>\n      <td>46.100000</td>\n      <td>672.1800</td>\n      <td>0.00</td>\n      <td>1.554891e+06</td>\n      <td>1.758048e+07</td>\n      <td>1.593381e+07</td>\n      <td>992220.000000</td>\n      <td>...</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>1172.0</td>\n      <td>超临界</td>\n      <td>350.0</td>\n      <td>150</td>\n      <td>21</td>\n    </tr>\n  </tbody>\n</table>\n<p>1491 rows × 21 columns</p>\n</div>"
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "outputs": [],
+   "source": [
+    "final_data.to_csv('data/unit_train_data.csv', encoding='utf-8-sig', index=False)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/四家电厂特征工程.ipynb b/四家电厂特征工程.ipynb
new file mode 100644
index 0000000..17e6962
--- /dev/null
+++ b/四家电厂特征工程.ipynb
@@ -0,0 +1,813 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "dict_keys(['浙江秀舟', '武乡西山', '邯郸东郊', '建投遵化'])"
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_data = pd.read_excel('data/电厂日数据.xlsx', sheet_name=None)\n",
+    "daily_data.keys()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "zjxz_daily = daily_data.get('浙江秀舟')\n",
+    "wxxs_daily = daily_data.get('武乡西山')\n",
+    "hddj_daily = daily_data.get('邯郸东郊')\n",
+    "jtzh_daily = daily_data.get('建投遵化')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "         days  发电量（千瓦时）  供热量（吉焦）  燃料消耗量（吨）      流量 （m3/h）  氮氧化物浓度(mg/m3)  \\\n0  2018-10-01  156796.0  6536.83       323  162345.192917      24.515087   \n1  2018-10-02  133984.0  2484.64       218  140175.330833      18.829456   \n2  2018-10-03  134023.0  3020.83       212  154686.184167      20.891797   \n3  2018-10-04  124765.0  5599.23       223  120345.545833      18.641687   \n4  2018-10-05  134414.0  4702.65       243  162533.103542      22.031219   \n\n      含氧量（%）      温度（℃）  二氧化硫浓度(mg/m3)  烟尘浓度(mg/m3)  发电量（万千瓦时）  \n0   9.900000  51.250000       4.721475     0.176932    15.6796  \n1   9.400000  50.679167       3.698115     0.161356    13.3984  \n2   8.550000  52.808333       6.381178     0.117507    13.4023  \n3  10.202083  48.854167       2.393757     0.761287    12.4765  \n4  11.497917  45.783333       0.338422     1.842860    13.4414  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>流量 （m3/h）</th>\n      <th>氮氧化物浓度(mg/m3)</th>\n      <th>含氧量（%）</th>\n      <th>温度（℃）</th>\n      <th>二氧化硫浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>发电量（万千瓦时）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.0</td>\n      <td>6536.83</td>\n      <td>323</td>\n      <td>162345.192917</td>\n      <td>24.515087</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>4.721475</td>\n      <td>0.176932</td>\n      <td>15.6796</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.0</td>\n      <td>2484.64</td>\n      <td>218</td>\n      <td>140175.330833</td>\n      <td>18.829456</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>3.698115</td>\n      <td>0.161356</td>\n      <td>13.3984</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.0</td>\n      <td>3020.83</td>\n      <td>212</td>\n      <td>154686.184167</td>\n      <td>20.891797</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>6.381178</td>\n      <td>0.117507</td>\n      <td>13.4023</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.0</td>\n      <td>5599.23</td>\n      <td>223</td>\n      <td>120345.545833</td>\n      <td>18.641687</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.393757</td>\n      <td>0.761287</td>\n      <td>12.4765</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.0</td>\n      <td>4702.65</td>\n      <td>243</td>\n      <td>162533.103542</td>\n      <td>22.031219</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.338422</td>\n      <td>1.842860</td>\n      <td>13.4414</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "zjxz_daily['发电量（万千瓦时）'] = zjxz_daily['发电量（千瓦时）'] / 10000\n",
+    "zjxz_daily.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [],
+   "source": [
+    "zjxz_daily.rename(columns={'流量 （m3/h）': 'flow', '温度（℃）': 'temperature', '含氧量（%）': 'r_O2'}, inplace=True)\n",
+    "zjxz_daily['c_smoke'] = zjxz_daily['flow'] * zjxz_daily['烟尘浓度(mg/m3)']\n",
+    "zjxz_daily['c_NO2'] = zjxz_daily['flow'] * zjxz_daily['氮氧化物浓度(mg/m3)']\n",
+    "zjxz_daily['c_SO2'] = zjxz_daily['flow'] * zjxz_daily['二氧化硫浓度(mg/m3)']\n",
+    "zjxz_daily['num_workers'] = 2\n",
+    "zjxz_daily['企业名称'] = '浙江秀舟热电有限公司'"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [],
+   "source": [
+    "zjxz_daily_final = zjxz_daily[\n",
+    "    ['days', '企业名称', 'r_O2', 'temperature', '发电量（万千瓦时）', '供热量（吉焦）', 'c_smoke', 'c_NO2', 'c_SO2', 'flow', 'num_workers', '燃料消耗量（吨）']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [],
+   "source": [
+    "wxxs_daily.rename(columns={'Unnamed: 0': 'days'}, inplace=True)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "outputs": [],
+   "source": [
+    "num_cols = [x for x in wxxs_daily.columns if x not in ['days', '企业名称', '机组1_状态', '机组2_状态']]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "(112, 23)"
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wxxs_daily.dropna(inplace=True)\n",
+    "wxxs_daily = wxxs_daily[~((wxxs_daily['机组1_状态'] == '停运') & (wxxs_daily['机组2_状态'] == '停运'))].copy()\n",
+    "wxxs_daily.shape"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['days', '发电量_1（万千瓦时）', '供热量_1（吉焦）', '燃料消耗量_1（吨）', '发电量_2（万千瓦时）',\n       '供热量_2（吉焦）', '燃料消耗量_2（吨）', '企业名称', '发电量（万千瓦时）', '供热量（吉焦）', '燃料消耗量（吨）',\n       '机组1_二氧化硫浓度(mg/m3)', '机组1_氮氧化物浓度(mg/m3)', '机组1_烟尘浓度(mg/m3)',\n       '机组1_流速(m/s)', '机组1_流量(m3/h)', '机组1_状态', '机组2_二氧化硫浓度(mg/m3)',\n       '机组2_氮氧化物浓度(mg/m3)', '机组2_烟尘浓度(mg/m3)', '机组2_流速(m/s)', '机组2_流量(m3/h)',\n       '机组2_状态'],\n      dtype='object')"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wxxs_daily.columns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "           days  发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n0    2021-01-01          952    11032.5      5478.8          893        0.0   \n1    2021-01-02         1127    11180.5      6125.4         1061        0.0   \n2    2021-01-03         1051    11197.7      5717.6         1053        0.0   \n3    2021-01-04         1179    11146.6      6172.5         1237        0.0   \n4    2021-01-05         1142    10922.4      6053.3         1082        0.0   \n..          ...          ...        ...         ...          ...        ...   \n111  2021-04-22            0        0.0         0.0          910        0.0   \n112  2021-04-23            0        0.0         0.0          978        0.0   \n113  2021-04-24            0        0.0         0.0         1000        0.0   \n114  2021-04-25            0        0.0         0.0          912        0.0   \n115  2021-04-26            0        0.0         0.0          913        0.0   \n\n     燃料消耗量_2（吨）          企业名称  发电量（万千瓦时）  供热量（吉焦）  ...  机组2_烟尘浓度(mg/m3)  \\\n0        4689.7  武乡西山发电有限责任公司       1845  11032.5  ...             2.25   \n1        5455.5  武乡西山发电有限责任公司       2188  11180.5  ...             2.37   \n2        4060.5  武乡西山发电有限责任公司       2104  11197.7  ...             2.38   \n3        5574.7  武乡西山发电有限责任公司       2416  11146.6  ...             2.39   \n4        6363.9  武乡西山发电有限责任公司       2224  10922.4  ...             2.42   \n..          ...           ...        ...      ...  ...              ...   \n111      4857.5  武乡西山发电有限责任公司        910      0.0  ...             1.35   \n112      4662.7  武乡西山发电有限责任公司        978      0.0  ...             1.56   \n113      5105.5  武乡西山发电有限责任公司       1000      0.0  ...             1.58   \n114      5133.1  武乡西山发电有限责任公司        912      0.0  ...             1.73   \n115      4615.6  武乡西山发电有限责任公司        913      0.0  ...             2.03   \n\n     机组2_流速(m/s)  机组2_流量(m3/h)  机组2_状态       c_smoke         c_NO2  \\\n0           5.00     731609.00    正常运行  5.526793e+06  7.328620e+07   \n1           9.18    1326387.42    正常运行  7.281598e+06  9.776706e+07   \n2           9.85    1417186.13    正常运行  7.514610e+06  1.000303e+08   \n3           9.07    1304455.88    正常运行  7.176101e+06  9.310243e+07   \n4           9.71    1390566.88    正常运行  7.495997e+06  9.931573e+07   \n..           ...           ...     ...           ...           ...   \n111        10.16    1382219.04    正常运行  1.865996e+06  4.958020e+07   \n112        10.63    1448026.88    正常运行  2.258922e+06  5.286746e+07   \n113        10.30    1413869.08    正常运行  2.233913e+06  5.222832e+07   \n114        10.02    1370190.96    正常运行  2.370430e+06  4.853216e+07   \n115         9.59    1316204.83    正常运行  2.671896e+06  4.660681e+07   \n\n            c_SO2        flow  r_O2  temperature  \n0    4.749923e+07  2290111.96   NaN          NaN  \n1    6.054234e+07  2975016.92   NaN          NaN  \n2    6.075841e+07  3073868.76   NaN          NaN  \n3    5.473308e+07  2914952.34   NaN          NaN  \n4    6.013172e+07  3042896.96   NaN          NaN  \n..            ...         ...   ...          ...  \n111  2.526696e+07  1382219.04   NaN          NaN  \n112  2.089503e+07  1448026.88   NaN          NaN  \n113  2.267846e+07  1413869.08   NaN          NaN  \n114  1.964854e+07  1370190.96   NaN          NaN  \n115  2.409971e+07  1316204.83   NaN          NaN  \n\n[112 rows x 29 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>发电量（万千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>...</th>\n      <th>机组2_烟尘浓度(mg/m3)</th>\n      <th>机组2_流速(m/s)</th>\n      <th>机组2_流量(m3/h)</th>\n      <th>机组2_状态</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>r_O2</th>\n      <th>temperature</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2021-01-01</td>\n      <td>952</td>\n      <td>11032.5</td>\n      <td>5478.8</td>\n      <td>893</td>\n      <td>0.0</td>\n      <td>4689.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1845</td>\n      <td>11032.5</td>\n      <td>...</td>\n      <td>2.25</td>\n      <td>5.00</td>\n      <td>731609.00</td>\n      <td>正常运行</td>\n      <td>5.526793e+06</td>\n      <td>7.328620e+07</td>\n      <td>4.749923e+07</td>\n      <td>2290111.96</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2021-01-02</td>\n      <td>1127</td>\n      <td>11180.5</td>\n      <td>6125.4</td>\n      <td>1061</td>\n      <td>0.0</td>\n      <td>5455.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2188</td>\n      <td>11180.5</td>\n      <td>...</td>\n      <td>2.37</td>\n      <td>9.18</td>\n      <td>1326387.42</td>\n      <td>正常运行</td>\n      <td>7.281598e+06</td>\n      <td>9.776706e+07</td>\n      <td>6.054234e+07</td>\n      <td>2975016.92</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2021-01-03</td>\n      <td>1051</td>\n      <td>11197.7</td>\n      <td>5717.6</td>\n      <td>1053</td>\n      <td>0.0</td>\n      <td>4060.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2104</td>\n      <td>11197.7</td>\n      <td>...</td>\n      <td>2.38</td>\n      <td>9.85</td>\n      <td>1417186.13</td>\n      <td>正常运行</td>\n      <td>7.514610e+06</td>\n      <td>1.000303e+08</td>\n      <td>6.075841e+07</td>\n      <td>3073868.76</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2021-01-04</td>\n      <td>1179</td>\n      <td>11146.6</td>\n      <td>6172.5</td>\n      <td>1237</td>\n      <td>0.0</td>\n      <td>5574.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2416</td>\n      <td>11146.6</td>\n      <td>...</td>\n      <td>2.39</td>\n      <td>9.07</td>\n      <td>1304455.88</td>\n      <td>正常运行</td>\n      <td>7.176101e+06</td>\n      <td>9.310243e+07</td>\n      <td>5.473308e+07</td>\n      <td>2914952.34</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2021-01-05</td>\n      <td>1142</td>\n      <td>10922.4</td>\n      <td>6053.3</td>\n      <td>1082</td>\n      <td>0.0</td>\n      <td>6363.9</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2224</td>\n      <td>10922.4</td>\n      <td>...</td>\n      <td>2.42</td>\n      <td>9.71</td>\n      <td>1390566.88</td>\n      <td>正常运行</td>\n      <td>7.495997e+06</td>\n      <td>9.931573e+07</td>\n      <td>6.013172e+07</td>\n      <td>3042896.96</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>111</th>\n      <td>2021-04-22</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>910</td>\n      <td>0.0</td>\n      <td>4857.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>910</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>1.35</td>\n      <td>10.16</td>\n      <td>1382219.04</td>\n      <td>正常运行</td>\n      <td>1.865996e+06</td>\n      <td>4.958020e+07</td>\n      <td>2.526696e+07</td>\n      <td>1382219.04</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>112</th>\n      <td>2021-04-23</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>978</td>\n      <td>0.0</td>\n      <td>4662.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>978</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>1.56</td>\n      <td>10.63</td>\n      <td>1448026.88</td>\n      <td>正常运行</td>\n      <td>2.258922e+06</td>\n      <td>5.286746e+07</td>\n      <td>2.089503e+07</td>\n      <td>1448026.88</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>113</th>\n      <td>2021-04-24</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1000</td>\n      <td>0.0</td>\n      <td>5105.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1000</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>1.58</td>\n      <td>10.30</td>\n      <td>1413869.08</td>\n      <td>正常运行</td>\n      <td>2.233913e+06</td>\n      <td>5.222832e+07</td>\n      <td>2.267846e+07</td>\n      <td>1413869.08</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>114</th>\n      <td>2021-04-25</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>912</td>\n      <td>0.0</td>\n      <td>5133.1</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>912</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>1.73</td>\n      <td>10.02</td>\n      <td>1370190.96</td>\n      <td>正常运行</td>\n      <td>2.370430e+06</td>\n      <td>4.853216e+07</td>\n      <td>1.964854e+07</td>\n      <td>1370190.96</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>2021-04-26</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>913</td>\n      <td>0.0</td>\n      <td>4615.6</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>913</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>2.03</td>\n      <td>9.59</td>\n      <td>1316204.83</td>\n      <td>正常运行</td>\n      <td>2.671896e+06</td>\n      <td>4.660681e+07</td>\n      <td>2.409971e+07</td>\n      <td>1316204.83</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>112 rows × 29 columns</p>\n</div>"
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wxxs_daily['c_smoke'] = wxxs_daily['机组1_流量(m3/h)'] * wxxs_daily['机组1_烟尘浓度(mg/m3)'] + wxxs_daily['机组2_流量(m3/h)'] * wxxs_daily['机组2_烟尘浓度(mg/m3)']\n",
+    "wxxs_daily['c_NO2'] = wxxs_daily['机组1_流量(m3/h)'] * wxxs_daily['机组1_氮氧化物浓度(mg/m3)'] + wxxs_daily['机组2_流量(m3/h)'] * wxxs_daily['机组2_氮氧化物浓度(mg/m3)']\n",
+    "wxxs_daily['c_SO2'] = wxxs_daily['机组1_流量(m3/h)'] * wxxs_daily['机组1_二氧化硫浓度(mg/m3)'] + wxxs_daily['机组2_流量(m3/h)'] * wxxs_daily['机组2_二氧化硫浓度(mg/m3)']\n",
+    "wxxs_daily['flow'] = wxxs_daily['机组1_流量(m3/h)'] + wxxs_daily['机组2_流量(m3/h)']\n",
+    "wxxs_daily['r_O2'] = np.nan\n",
+    "wxxs_daily['temperature'] = np.nan\n",
+    "wxxs_daily"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [],
+   "source": [
+    "wxxs_daily['num_workers'] = (wxxs_daily[['机组1_状态', '机组2_状态']] == '正常运行').sum(axis=1).values"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "outputs": [],
+   "source": [
+    "wxxs_daily_final = wxxs_daily[\n",
+    "    ['days', '企业名称', 'r_O2', 'temperature', '发电量（万千瓦时）', '供热量（吉焦）', 'c_smoke', 'c_NO2', 'c_SO2', 'flow', 'num_workers',\n",
+    "     '燃料消耗量（吨）']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "(59, 28)"
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hddj_daily.rename(columns={'Unnamed: 0': 'days'}, inplace=True)\n",
+    "hddj_daily.shape"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['days', '发电量_1（万千瓦时）', '供热量_1（吉焦）', '燃料消耗量_1（吨）', '发电量_2（万千瓦时）',\n       '供热量_2（吉焦）', '燃料消耗量_2（吨）', '企业名称', '机组1_流量 （m3/h）', '机组1_NOx浓度(mg/m3)',\n       '机组1_SO2浓度(mg/m3)', '机组1_烟尘浓度(mg/m3)', '机组1_含氧量（%）', '机组1_温度（℃）',\n       '机组1_烟气湿度（%）', '机组1_烟气压力（千帕）', '机组1_烟气流速（m/s）', '机组1_状态',\n       '机组2_流量 （m3/h）', '机组2_NOx浓度(mg/m3)', '机组2_SO2浓度(mg/m3)',\n       '机组2_烟尘浓度(mg/m3)', '机组2_含氧量（%）', '机组2_温度（℃）', '机组2_烟气湿度（%）',\n       '机组2_烟气压力（千帕）', '机组2_烟气流速（m/s）', '机组2_状态'],\n      dtype='object')"
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hddj_daily.columns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "          days  发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n0   2022-01-01       494.20      30829        2861       536.50        324   \n1   2022-01-02       554.30      32122        2536       567.90       1008   \n2   2022-01-03       558.30      33451        2911       566.20       1296   \n3   2022-01-04       529.70      33179        3023       563.50       1248   \n4   2022-01-05       563.90      29731        3191       609.30       1362   \n5   2022-01-06       561.00      32505        3357       577.20       1236   \n6   2022-01-07       570.00      33189        3231       579.00       1035   \n7   2022-01-08       526.80      31881        2765       542.90       1323   \n8   2022-01-09       517.10      30799        2574       538.90       1305   \n9   2022-01-10       512.80      29277        2512       483.40       1335   \n10  2022-01-11       521.20      32460        2757       536.10       1299   \n11  2022-01-12       543.32      33593        3132       558.85       1368   \n12  2022-01-13       512.52      33326        2950       527.32       1398   \n13  2022-01-14       495.42      31417        2755       512.83       1536   \n14  2022-01-15       500.06      32434        2834       517.19       1242   \n15  2022-01-16       527.93      31986        3182       542.34       1116   \n16  2022-01-17       496.50      32268        3121       513.14       1362   \n17  2022-01-18       529.31      31814        3241       544.11       1305   \n18  2022-01-19       552.01      30414        3274       565.96       1161   \n19  2022-01-20       544.00      32416        3594       581.34       1329   \n20  2022-01-21       561.29      34300        3891       617.18       1383   \n21  2022-01-22       574.00      38342        4276       585.25       1368   \n22  2022-01-23       534.94      37444        3767       550.24       1242   \n23  2022-01-24       543.91      34539        3175       550.61       1362   \n24  2022-01-25       538.31      36753        3860       551.21       1131   \n25  2022-01-26       529.59      34148        3749       545.59        891   \n26  2022-01-27       525.88      33630        3725       537.33        777   \n27  2022-01-28       545.06      34181        3866       554.88        558   \n28  2022-01-29       522.68      30637        3395       544.47        399   \n29  2022-01-30       509.69      34254        3101       526.92        258   \n30  2022-01-31       516.51      32145        2985       528.13        210   \n31  2022-02-01       500.46      25687        2662       543.60        207   \n32  2022-02-02       477.03      29061        2821       534.40        186   \n33  2022-02-03       439.93      29598        2779       494.86        204   \n34  2022-02-04       452.76      28709        2523       493.99        282   \n35  2022-02-05       508.35      30133        2884       521.49        285   \n36  2022-02-06       485.41      27635        2902       503.13        363   \n37  2022-02-07       469.75      28259        2939       484.85        363   \n38  2022-02-08       452.87      26685        2556       481.92        603   \n39  2022-02-09       470.87      26037        2691       488.17        681   \n40  2022-02-10       490.75      25530        2901       508.89        591   \n41  2022-02-11       467.50      24359        2790       497.45        735   \n42  2022-02-12       446.31      24180        2766       474.04        621   \n43  2022-02-13       466.12      25274        3054       491.41        594   \n44  2022-02-14       464.96      29338        2533       491.96        651   \n45  2022-02-15       466.40      27394        2611       444.04        474   \n46  2022-02-16       493.26      27639        2905       420.10       1074   \n47  2022-02-17       495.53      30228        2894       469.32       1362   \n48  2022-02-18       524.59      28126        3030       531.28       1413   \n49  2022-02-19       466.49      27575        2470       497.11       1317   \n50  2022-02-20       503.46      27424        2799       460.91       1281   \n51  2022-02-21       521.02      26965        3098       482.89       1317   \n52  2022-02-22       528.08      26886        3317       490.45       1314   \n53  2022-02-23       533.95      25022        3174       494.54       1407   \n54  2022-02-24       505.76      26727        3079       527.43       1200   \n55  2022-02-25       445.43      21930        2580       473.06       1368   \n56  2022-02-26       491.01      16645        2733       509.18       1341   \n57  2022-02-27       465.33      17884        2862       500.18       1269   \n58  2022-02-28       487.21      15457        3029       497.76       1236   \n\n    燃料消耗量_2（吨）              企业名称  机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  ...  \\\n0         2752  国电电力邯郸东郊热电有限责任公司      941229.60         18.200375  ...   \n1         3086  国电电力邯郸东郊热电有限责任公司      992216.10         19.536458  ...   \n2         2914  国电电力邯郸东郊热电有限责任公司     1016053.05         20.577917  ...   \n3         2847  国电电力邯郸东郊热电有限责任公司      979135.35         20.397917  ...   \n4         3014  国电电力邯郸东郊热电有限责任公司      996159.15         17.955417  ...   \n5         3353  国电电力邯郸东郊热电有限责任公司      970119.15         20.292250  ...   \n6         3252  国电电力邯郸东郊热电有限责任公司      998681.85         18.996333  ...   \n7         2548  国电电力邯郸东郊热电有限责任公司      974497.65         19.103583  ...   \n8         2394  国电电力邯郸东郊热电有限责任公司      957560.55         19.974542  ...   \n9         2303  国电电力邯郸东郊热电有限责任公司      956263.20         20.450042  ...   \n10        2819  国电电力邯郸东郊热电有限责任公司      955973.40         18.979875  ...   \n11        2612  国电电力邯郸东郊热电有限责任公司      987528.75         18.116542  ...   \n12        2820  国电电力邯郸东郊热电有限责任公司      971672.85         18.861125  ...   \n13        2820  国电电力邯郸东郊热电有限责任公司      956458.65         18.336958  ...   \n14        2986  国电电力邯郸东郊热电有限责任公司      950168.55         20.059333  ...   \n15        3132  国电电力邯郸东郊热电有限责任公司      973078.80         19.974500  ...   \n16        2912  国电电力邯郸东郊热电有限责任公司      956802.15         18.879083  ...   \n17        3070  国电电力邯郸东郊热电有限责任公司      991453.20         20.236625  ...   \n18        3297  国电电力邯郸东郊热电有限责任公司      991811.85         20.144542  ...   \n19        3359  国电电力邯郸东郊热电有限责任公司     1005389.55         19.532208  ...   \n20        4019  国电电力邯郸东郊热电有限责任公司     1028425.05         19.846833  ...   \n21        3923  国电电力邯郸东郊热电有限责任公司     1030724.40         20.398667  ...   \n22        3743  国电电力邯郸东郊热电有限责任公司      685315.05         20.195708  ...   \n23        3852  国电电力邯郸东郊热电有限责任公司      747819.00         19.783167  ...   \n24        3621  国电电力邯郸东郊热电有限责任公司      981332.25         20.899917  ...   \n25        3735  国电电力邯郸东郊热电有限责任公司      973191.45         19.605917  ...   \n26        3446  国电电力邯郸东郊热电有限责任公司      976386.90         21.139042  ...   \n27        3721  国电电力邯郸东郊热电有限责任公司      995228.10         20.381167  ...   \n28        3142  国电电力邯郸东郊热电有限责任公司      967837.80         20.602667  ...   \n29        2820  国电电力邯郸东郊热电有限责任公司      959857.95         22.424542  ...   \n30        2966  国电电力邯郸东郊热电有限责任公司      982636.80         22.933250  ...   \n31        2895  国电电力邯郸东郊热电有限责任公司      958825.35         18.983458  ...   \n32        2930  国电电力邯郸东郊热电有限责任公司      935412.75         19.692250  ...   \n33        2937  国电电力邯郸东郊热电有限责任公司      908839.35         20.232167  ...   \n34        2867  国电电力邯郸东郊热电有限责任公司      911025.60         18.351792  ...   \n35        2916  国电电力邯郸东郊热电有限责任公司      920823.45         19.440333  ...   \n36        2947  国电电力邯郸东郊热电有限责任公司      916121.70         18.340417  ...   \n37        2754  国电电力邯郸东郊热电有限责任公司      917169.90         18.995583  ...   \n38        2485  国电电力邯郸东郊热电有限责任公司      886401.60         20.192167  ...   \n39        2834  国电电力邯郸东郊热电有限责任公司      906835.80         19.853292  ...   \n40        3172  国电电力邯郸东郊热电有限责任公司      928945.80         19.825792  ...   \n41        2835  国电电力邯郸东郊热电有限责任公司      885137.40         20.022458  ...   \n42        2787  国电电力邯郸东郊热电有限责任公司      878793.15         19.901583  ...   \n43        2915  国电电力邯郸东郊热电有限责任公司      904216.50         19.563583  ...   \n44        2555  国电电力邯郸东郊热电有限责任公司      898221.45         19.591208  ...   \n45        2447  国电电力邯郸东郊热电有限责任公司      898496.85         20.304208  ...   \n46        2350  国电电力邯郸东郊热电有限责任公司      930371.55         19.781625  ...   \n47        2623  国电电力邯郸东郊热电有限责任公司      924087.90         20.751667  ...   \n48        2724  国电电力邯郸东郊热电有限责任公司      943475.55         17.547500  ...   \n49        2409  国电电力邯郸东郊热电有限责任公司      927422.25         16.901125  ...   \n50        2916  国电电力邯郸东郊热电有限责任公司      956680.50         17.790792  ...   \n51        2996  国电电力邯郸东郊热电有限责任公司      948743.85         20.735625  ...   \n52        3209  国电电力邯郸东郊热电有限责任公司      960633.00         20.336125  ...   \n53        2868  国电电力邯郸东郊热电有限责任公司      962487.30         14.817583  ...   \n54        2921  国电电力邯郸东郊热电有限责任公司      923360.40         12.179875  ...   \n55        2584  国电电力邯郸东郊热电有限责任公司      860085.15         10.475958  ...   \n56        2545  国电电力邯郸东郊热电有限责任公司      902073.30         16.492917  ...   \n57        2825  国电电力邯郸东郊热电有限责任公司      873491.25         19.575875  ...   \n58        2632  国电电力邯郸东郊热电有限责任公司      873223.80         19.886042  ...   \n\n    机组2_烟气湿度（%）  机组2_烟气压力（千帕）  机组2_烟气流速（m/s）  机组2_状态       c_smoke  \\\n0     14.332542     -0.001208      13.711958    正常运行  3.257517e+06   \n1     13.511000     -0.004167      13.774167    正常运行  3.484952e+06   \n2     13.971208     -0.003500      13.844875    正常运行  3.400451e+06   \n3     13.916375     -0.008208      13.842125    正常运行  3.592141e+06   \n4     14.428917      0.005875      14.311083    正常运行  3.586249e+06   \n5     15.268208     -0.000167      14.131583    正常运行  2.215846e+06   \n6     14.889875     -0.003833      14.068833    正常运行  2.220582e+06   \n7     14.535917      0.001125      13.726083    正常运行  2.188609e+06   \n8     14.305000     -0.008500      13.569167    正常运行  2.169250e+06   \n9     14.191625     -0.030583      12.975792    正常运行  2.183676e+06   \n10    14.764958     -0.029042      13.674167    正常运行  2.485838e+06   \n11    14.263000     -0.015208      13.690458    正常运行  2.649776e+06   \n12    14.442958     -0.022458      13.463542    正常运行  2.820830e+06   \n13    14.328583     -0.026708      13.353708    正常运行  3.077069e+06   \n14    14.199875     -0.017833      13.440708    正常运行  3.123245e+06   \n15    14.185542     -0.014458      13.628750    正常运行  3.072400e+06   \n16    13.929958     -0.020917      13.250917    正常运行  3.049155e+06   \n17    14.144208     -0.004125      13.642042    正常运行  3.533021e+06   \n18    14.787958     -0.029292      13.718750    正常运行  3.315513e+06   \n19    14.510042     -0.025833      13.986250    正常运行  3.289174e+06   \n20    14.936792     -0.005083      14.560750    正常运行  3.916393e+06   \n21    15.098875     -0.022167      14.133250    正常运行  2.963543e+06   \n22    14.761500     -0.027958      13.891958    正常运行  2.249357e+06   \n23    14.277750     -0.015417      13.751458    正常运行  2.795426e+06   \n24    14.441208     -0.008750      13.930542    正常运行  3.282900e+06   \n25    14.133625     -0.019167      13.717375    正常运行  3.859786e+06   \n26    13.993833     -0.019167      13.451958    正常运行  3.684927e+06   \n27    14.186417     -0.007375      13.664208    正常运行  4.163429e+06   \n28    14.288167     -0.012125      13.557125    正常运行  4.084923e+06   \n29    14.165333     -0.019083      13.457583    正常运行  3.480797e+06   \n30    13.787333     -0.011708      13.436125    正常运行  3.887147e+06   \n31    13.722667     -0.020083      13.511750    正常运行  3.383877e+06   \n32    14.131875     -0.013042      13.611125    正常运行  3.049138e+06   \n33    13.783458     -0.020375      13.166667    正常运行  3.341479e+06   \n34    13.776375     -0.031458      13.159875    正常运行  3.128708e+06   \n35    13.928458     -0.020042      13.502917    正常运行  3.111385e+06   \n36    13.860208     -0.019833      13.172083    正常运行  3.455052e+06   \n37    13.576750     -0.021792      12.952875    正常运行  3.439634e+06   \n38    13.721208     -0.025417      12.863625    正常运行  3.257388e+06   \n39    14.036875     -0.026583      12.952667    正常运行  3.433475e+06   \n40    13.953417     -0.011083      13.232667    正常运行  3.066035e+06   \n41    14.210083     -0.011542      13.247875    正常运行  2.696465e+06   \n42    13.956625     -0.018250      12.992667    正常运行  2.753090e+06   \n43    14.427542     -0.037625      13.313500    正常运行  3.269083e+06   \n44    14.049500     -0.044708      13.217542    正常运行  3.087706e+06   \n45    14.077958     -0.049333      12.751083    正常运行  3.037218e+06   \n46    13.875458     -0.062125      12.336333    正常运行  3.084249e+06   \n47    14.031000     -0.041375      12.966167    正常运行  3.212510e+06   \n48    13.987625     -0.024583      13.562792    正常运行  3.050259e+06   \n49    13.605208     -0.032292      13.194958    正常运行  2.740527e+06   \n50    14.403625     -0.016708      13.532375    正常运行  2.996695e+06   \n51    14.083542     -0.014750      13.520000    正常运行  2.960574e+06   \n52    14.153542     -0.018667      13.514750    正常运行  3.110037e+06   \n53    14.195833     -0.019167      13.393625    正常运行  3.387878e+06   \n54    14.195417     -0.010125      13.237458    正常运行  3.054718e+06   \n55    13.771625     -0.005583      12.710292    正常运行  3.373946e+06   \n56    13.873167      0.002500      12.894500    正常运行  3.187907e+06   \n57    13.949583      0.000250      12.880750    正常运行  2.963942e+06   \n58    14.249000      0.008292      12.840625    正常运行  3.560515e+06   \n\n           c_NO2         c_SO2        flow      r_O2  temperature  \n0   3.804381e+07  3.516073e+07  2036233.80  6.983896    49.121292  \n1   4.221547e+07  3.579036e+07  2106074.55  6.522833    48.618542  \n2   4.260501e+07  3.411403e+07  2127569.40  6.717021    48.960354  \n3   3.998053e+07  2.997909e+07  2091564.90  6.815604    49.029333  \n4   3.929008e+07  3.131626e+07  2137312.95  6.755562    49.144292  \n5   3.931515e+07  2.436974e+07  2082375.90  6.824542    50.642187  \n6   3.917723e+07  3.088392e+07  2112319.50  6.709875    50.175917  \n7   3.799830e+07  3.236050e+07  2066828.25  6.825625    49.571188  \n8   3.822554e+07  2.824060e+07  2041423.95  6.856500    49.386896  \n9   3.820367e+07  2.807317e+07  1994067.60  7.151688    49.422646  \n10  3.670131e+07  2.607466e+07  2040290.70  6.904021    49.946958  \n11  3.719654e+07  2.452062e+07  2081641.20  6.605063    49.397167  \n12  3.789349e+07  2.538908e+07  2044506.15  6.918958    49.506000  \n13  3.599071e+07  2.415509e+07  2022557.25  7.130708    49.151625  \n14  3.908984e+07  2.629249e+07  2025448.50  7.077354    48.802750  \n15  3.788218e+07  2.771309e+07  2063515.65  7.021583    49.027646  \n16  3.732636e+07  2.506779e+07  2021291.10  6.905312    48.496542  \n17  4.077926e+07  3.210222e+07  2083759.65  6.787937    48.815833  \n18  4.099829e+07  3.068099e+07  2078882.55  6.750271    49.744854  \n19  4.072550e+07  3.275159e+07  2118676.50  6.830604    49.177000  \n20  4.168427e+07  3.064610e+07  2179366.65  6.640479    49.790083  \n21  4.162003e+07  3.149780e+07  2146024.65  6.572896    49.776083  \n22  3.400526e+07  2.437621e+07  1787562.75  6.958458    49.380604  \n23  3.381377e+07  2.564188e+07  1846524.00  6.968271    48.926375  \n24  4.020975e+07  3.355836e+07  2091790.35  6.788958    49.144958  \n25  3.911198e+07  3.029390e+07  2072011.20  6.913479    49.117188  \n26  3.976530e+07  3.123768e+07  2055897.60  6.820521    48.889979  \n27  4.099262e+07  3.523118e+07  2088629.70  6.632417    49.155354  \n28  4.094954e+07  3.197806e+07  2051150.70  6.914521    49.168250  \n29  4.399487e+07  4.178259e+07  2037258.90  6.831771    49.357229  \n30  4.427475e+07  3.732908e+07  2064487.35  7.017104    48.584083  \n31  4.085998e+07  3.449124e+07  2047852.20  7.464958    48.320896  \n32  3.918686e+07  3.206403e+07  2025385.50  7.444104    48.552771  \n33  3.938607e+07  2.994317e+07  1968999.15  7.629937    48.365687  \n34  3.498011e+07  2.834605e+07  1970188.50  7.782021    48.446104  \n35  3.677589e+07  2.818258e+07  2005648.35  7.184229    49.038479  \n36  3.308199e+07  2.807928e+07  1975579.65  7.313896    48.821979  \n37  3.676384e+07  2.925662e+07  1963510.95  7.419667    48.461833  \n38  3.744135e+07  2.738935e+07  1923192.15  7.390354    48.752333  \n39  3.669136e+07  2.877928e+07  1945687.50  7.280375    49.129250  \n40  3.750276e+07  3.010066e+07  1991943.15  7.293646    48.845062  \n41  3.593293e+07  3.018604e+07  1944751.05  7.397271    48.866104  \n42  3.688195e+07  2.234456e+07  1922297.55  7.691063    48.736104  \n43  3.864251e+07  2.867572e+07  1965252.00  7.748604    49.199021  \n44  3.841128e+07  3.104611e+07  1957558.65  7.621833    48.851146  \n45  3.734639e+07  2.805741e+07  1920186.00  7.697042    49.214938  \n46  3.507652e+07  2.544350e+07  1921440.75  7.688979    48.873500  \n47  3.966341e+07  3.042935e+07  1963527.00  7.333896    48.704292  \n48  3.564007e+07  3.143818e+07  2031894.75  7.328792    48.887729  \n49  3.419912e+07  2.805847e+07  1992640.95  7.855208    48.220813  \n50  3.728772e+07  2.900427e+07  2035819.35  7.383833    48.957958  \n51  4.047547e+07  2.697417e+07  2032423.35  7.010000    48.847854  \n52  4.062912e+07  3.299243e+07  2042738.40  7.273062    48.764396  \n53  3.183804e+07  2.369775e+07  2033981.55  7.224937    48.799562  \n54  2.616740e+07  1.551571e+07  1982798.25  7.190104    48.974646  \n55  2.214439e+07  1.249294e+07  1884392.25  7.462646    48.143604  \n56  3.175337e+07  1.782747e+07  1939395.60  7.310292    48.442021  \n57  3.711246e+07  3.403898e+07  1908718.80  7.521104    48.592125  \n58  3.739143e+07  3.444434e+07  1900445.85  7.381438    49.157917  \n\n[59 rows x 34 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>...</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气压力（千帕）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>r_O2</th>\n      <th>temperature</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-01-01</td>\n      <td>494.20</td>\n      <td>30829</td>\n      <td>2861</td>\n      <td>536.50</td>\n      <td>324</td>\n      <td>2752</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>941229.60</td>\n      <td>18.200375</td>\n      <td>...</td>\n      <td>14.332542</td>\n      <td>-0.001208</td>\n      <td>13.711958</td>\n      <td>正常运行</td>\n      <td>3.257517e+06</td>\n      <td>3.804381e+07</td>\n      <td>3.516073e+07</td>\n      <td>2036233.80</td>\n      <td>6.983896</td>\n      <td>49.121292</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-01-02</td>\n      <td>554.30</td>\n      <td>32122</td>\n      <td>2536</td>\n      <td>567.90</td>\n      <td>1008</td>\n      <td>3086</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>992216.10</td>\n      <td>19.536458</td>\n      <td>...</td>\n      <td>13.511000</td>\n      <td>-0.004167</td>\n      <td>13.774167</td>\n      <td>正常运行</td>\n      <td>3.484952e+06</td>\n      <td>4.221547e+07</td>\n      <td>3.579036e+07</td>\n      <td>2106074.55</td>\n      <td>6.522833</td>\n      <td>48.618542</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-01-03</td>\n      <td>558.30</td>\n      <td>33451</td>\n      <td>2911</td>\n      <td>566.20</td>\n      <td>1296</td>\n      <td>2914</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1016053.05</td>\n      <td>20.577917</td>\n      <td>...</td>\n      <td>13.971208</td>\n      <td>-0.003500</td>\n      <td>13.844875</td>\n      <td>正常运行</td>\n      <td>3.400451e+06</td>\n      <td>4.260501e+07</td>\n      <td>3.411403e+07</td>\n      <td>2127569.40</td>\n      <td>6.717021</td>\n      <td>48.960354</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-01-04</td>\n      <td>529.70</td>\n      <td>33179</td>\n      <td>3023</td>\n      <td>563.50</td>\n      <td>1248</td>\n      <td>2847</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>979135.35</td>\n      <td>20.397917</td>\n      <td>...</td>\n      <td>13.916375</td>\n      <td>-0.008208</td>\n      <td>13.842125</td>\n      <td>正常运行</td>\n      <td>3.592141e+06</td>\n      <td>3.998053e+07</td>\n      <td>2.997909e+07</td>\n      <td>2091564.90</td>\n      <td>6.815604</td>\n      <td>49.029333</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-01-05</td>\n      <td>563.90</td>\n      <td>29731</td>\n      <td>3191</td>\n      <td>609.30</td>\n      <td>1362</td>\n      <td>3014</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>996159.15</td>\n      <td>17.955417</td>\n      <td>...</td>\n      <td>14.428917</td>\n      <td>0.005875</td>\n      <td>14.311083</td>\n      <td>正常运行</td>\n      <td>3.586249e+06</td>\n      <td>3.929008e+07</td>\n      <td>3.131626e+07</td>\n      <td>2137312.95</td>\n      <td>6.755562</td>\n      <td>49.144292</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2022-01-06</td>\n      <td>561.00</td>\n      <td>32505</td>\n      <td>3357</td>\n      <td>577.20</td>\n      <td>1236</td>\n      <td>3353</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>970119.15</td>\n      <td>20.292250</td>\n      <td>...</td>\n      <td>15.268208</td>\n      <td>-0.000167</td>\n      <td>14.131583</td>\n      <td>正常运行</td>\n      <td>2.215846e+06</td>\n      <td>3.931515e+07</td>\n      <td>2.436974e+07</td>\n      <td>2082375.90</td>\n      <td>6.824542</td>\n      <td>50.642187</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2022-01-07</td>\n      <td>570.00</td>\n      <td>33189</td>\n      <td>3231</td>\n      <td>579.00</td>\n      <td>1035</td>\n      <td>3252</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>998681.85</td>\n      <td>18.996333</td>\n      <td>...</td>\n      <td>14.889875</td>\n      <td>-0.003833</td>\n      <td>14.068833</td>\n      <td>正常运行</td>\n      <td>2.220582e+06</td>\n      <td>3.917723e+07</td>\n      <td>3.088392e+07</td>\n      <td>2112319.50</td>\n      <td>6.709875</td>\n      <td>50.175917</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2022-01-08</td>\n      <td>526.80</td>\n      <td>31881</td>\n      <td>2765</td>\n      <td>542.90</td>\n      <td>1323</td>\n      <td>2548</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>974497.65</td>\n      <td>19.103583</td>\n      <td>...</td>\n      <td>14.535917</td>\n      <td>0.001125</td>\n      <td>13.726083</td>\n      <td>正常运行</td>\n      <td>2.188609e+06</td>\n      <td>3.799830e+07</td>\n      <td>3.236050e+07</td>\n      <td>2066828.25</td>\n      <td>6.825625</td>\n      <td>49.571188</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2022-01-09</td>\n      <td>517.10</td>\n      <td>30799</td>\n      <td>2574</td>\n      <td>538.90</td>\n      <td>1305</td>\n      <td>2394</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>957560.55</td>\n      <td>19.974542</td>\n      <td>...</td>\n      <td>14.305000</td>\n      <td>-0.008500</td>\n      <td>13.569167</td>\n      <td>正常运行</td>\n      <td>2.169250e+06</td>\n      <td>3.822554e+07</td>\n      <td>2.824060e+07</td>\n      <td>2041423.95</td>\n      <td>6.856500</td>\n      <td>49.386896</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2022-01-10</td>\n      <td>512.80</td>\n      <td>29277</td>\n      <td>2512</td>\n      <td>483.40</td>\n      <td>1335</td>\n      <td>2303</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956263.20</td>\n      <td>20.450042</td>\n      <td>...</td>\n      <td>14.191625</td>\n      <td>-0.030583</td>\n      <td>12.975792</td>\n      <td>正常运行</td>\n      <td>2.183676e+06</td>\n      <td>3.820367e+07</td>\n      <td>2.807317e+07</td>\n      <td>1994067.60</td>\n      <td>7.151688</td>\n      <td>49.422646</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2022-01-11</td>\n      <td>521.20</td>\n      <td>32460</td>\n      <td>2757</td>\n      <td>536.10</td>\n      <td>1299</td>\n      <td>2819</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>955973.40</td>\n      <td>18.979875</td>\n      <td>...</td>\n      <td>14.764958</td>\n      <td>-0.029042</td>\n      <td>13.674167</td>\n      <td>正常运行</td>\n      <td>2.485838e+06</td>\n      <td>3.670131e+07</td>\n      <td>2.607466e+07</td>\n      <td>2040290.70</td>\n      <td>6.904021</td>\n      <td>49.946958</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2022-01-12</td>\n      <td>543.32</td>\n      <td>33593</td>\n      <td>3132</td>\n      <td>558.85</td>\n      <td>1368</td>\n      <td>2612</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>987528.75</td>\n      <td>18.116542</td>\n      <td>...</td>\n      <td>14.263000</td>\n      <td>-0.015208</td>\n      <td>13.690458</td>\n      <td>正常运行</td>\n      <td>2.649776e+06</td>\n      <td>3.719654e+07</td>\n      <td>2.452062e+07</td>\n      <td>2081641.20</td>\n      <td>6.605063</td>\n      <td>49.397167</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2022-01-13</td>\n      <td>512.52</td>\n      <td>33326</td>\n      <td>2950</td>\n      <td>527.32</td>\n      <td>1398</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>971672.85</td>\n      <td>18.861125</td>\n      <td>...</td>\n      <td>14.442958</td>\n      <td>-0.022458</td>\n      <td>13.463542</td>\n      <td>正常运行</td>\n      <td>2.820830e+06</td>\n      <td>3.789349e+07</td>\n      <td>2.538908e+07</td>\n      <td>2044506.15</td>\n      <td>6.918958</td>\n      <td>49.506000</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2022-01-14</td>\n      <td>495.42</td>\n      <td>31417</td>\n      <td>2755</td>\n      <td>512.83</td>\n      <td>1536</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956458.65</td>\n      <td>18.336958</td>\n      <td>...</td>\n      <td>14.328583</td>\n      <td>-0.026708</td>\n      <td>13.353708</td>\n      <td>正常运行</td>\n      <td>3.077069e+06</td>\n      <td>3.599071e+07</td>\n      <td>2.415509e+07</td>\n      <td>2022557.25</td>\n      <td>7.130708</td>\n      <td>49.151625</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2022-01-15</td>\n      <td>500.06</td>\n      <td>32434</td>\n      <td>2834</td>\n      <td>517.19</td>\n      <td>1242</td>\n      <td>2986</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>950168.55</td>\n      <td>20.059333</td>\n      <td>...</td>\n      <td>14.199875</td>\n      <td>-0.017833</td>\n      <td>13.440708</td>\n      <td>正常运行</td>\n      <td>3.123245e+06</td>\n      <td>3.908984e+07</td>\n      <td>2.629249e+07</td>\n      <td>2025448.50</td>\n      <td>7.077354</td>\n      <td>48.802750</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2022-01-16</td>\n      <td>527.93</td>\n      <td>31986</td>\n      <td>3182</td>\n      <td>542.34</td>\n      <td>1116</td>\n      <td>3132</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>973078.80</td>\n      <td>19.974500</td>\n      <td>...</td>\n      <td>14.185542</td>\n      <td>-0.014458</td>\n      <td>13.628750</td>\n      <td>正常运行</td>\n      <td>3.072400e+06</td>\n      <td>3.788218e+07</td>\n      <td>2.771309e+07</td>\n      <td>2063515.65</td>\n      <td>7.021583</td>\n      <td>49.027646</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2022-01-17</td>\n      <td>496.50</td>\n      <td>32268</td>\n      <td>3121</td>\n      <td>513.14</td>\n      <td>1362</td>\n      <td>2912</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956802.15</td>\n      <td>18.879083</td>\n      <td>...</td>\n      <td>13.929958</td>\n      <td>-0.020917</td>\n      <td>13.250917</td>\n      <td>正常运行</td>\n      <td>3.049155e+06</td>\n      <td>3.732636e+07</td>\n      <td>2.506779e+07</td>\n      <td>2021291.10</td>\n      <td>6.905312</td>\n      <td>48.496542</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2022-01-18</td>\n      <td>529.31</td>\n      <td>31814</td>\n      <td>3241</td>\n      <td>544.11</td>\n      <td>1305</td>\n      <td>3070</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>991453.20</td>\n      <td>20.236625</td>\n      <td>...</td>\n      <td>14.144208</td>\n      <td>-0.004125</td>\n      <td>13.642042</td>\n      <td>正常运行</td>\n      <td>3.533021e+06</td>\n      <td>4.077926e+07</td>\n      <td>3.210222e+07</td>\n      <td>2083759.65</td>\n      <td>6.787937</td>\n      <td>48.815833</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2022-01-19</td>\n      <td>552.01</td>\n      <td>30414</td>\n      <td>3274</td>\n      <td>565.96</td>\n      <td>1161</td>\n      <td>3297</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>991811.85</td>\n      <td>20.144542</td>\n      <td>...</td>\n      <td>14.787958</td>\n      <td>-0.029292</td>\n      <td>13.718750</td>\n      <td>正常运行</td>\n      <td>3.315513e+06</td>\n      <td>4.099829e+07</td>\n      <td>3.068099e+07</td>\n      <td>2078882.55</td>\n      <td>6.750271</td>\n      <td>49.744854</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2022-01-20</td>\n      <td>544.00</td>\n      <td>32416</td>\n      <td>3594</td>\n      <td>581.34</td>\n      <td>1329</td>\n      <td>3359</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1005389.55</td>\n      <td>19.532208</td>\n      <td>...</td>\n      <td>14.510042</td>\n      <td>-0.025833</td>\n      <td>13.986250</td>\n      <td>正常运行</td>\n      <td>3.289174e+06</td>\n      <td>4.072550e+07</td>\n      <td>3.275159e+07</td>\n      <td>2118676.50</td>\n      <td>6.830604</td>\n      <td>49.177000</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2022-01-21</td>\n      <td>561.29</td>\n      <td>34300</td>\n      <td>3891</td>\n      <td>617.18</td>\n      <td>1383</td>\n      <td>4019</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1028425.05</td>\n      <td>19.846833</td>\n      <td>...</td>\n      <td>14.936792</td>\n      <td>-0.005083</td>\n      <td>14.560750</td>\n      <td>正常运行</td>\n      <td>3.916393e+06</td>\n      <td>4.168427e+07</td>\n      <td>3.064610e+07</td>\n      <td>2179366.65</td>\n      <td>6.640479</td>\n      <td>49.790083</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2022-01-22</td>\n      <td>574.00</td>\n      <td>38342</td>\n      <td>4276</td>\n      <td>585.25</td>\n      <td>1368</td>\n      <td>3923</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1030724.40</td>\n      <td>20.398667</td>\n      <td>...</td>\n      <td>15.098875</td>\n      <td>-0.022167</td>\n      <td>14.133250</td>\n      <td>正常运行</td>\n      <td>2.963543e+06</td>\n      <td>4.162003e+07</td>\n      <td>3.149780e+07</td>\n      <td>2146024.65</td>\n      <td>6.572896</td>\n      <td>49.776083</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2022-01-23</td>\n      <td>534.94</td>\n      <td>37444</td>\n      <td>3767</td>\n      <td>550.24</td>\n      <td>1242</td>\n      <td>3743</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>685315.05</td>\n      <td>20.195708</td>\n      <td>...</td>\n      <td>14.761500</td>\n      <td>-0.027958</td>\n      <td>13.891958</td>\n      <td>正常运行</td>\n      <td>2.249357e+06</td>\n      <td>3.400526e+07</td>\n      <td>2.437621e+07</td>\n      <td>1787562.75</td>\n      <td>6.958458</td>\n      <td>49.380604</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2022-01-24</td>\n      <td>543.91</td>\n      <td>34539</td>\n      <td>3175</td>\n      <td>550.61</td>\n      <td>1362</td>\n      <td>3852</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>747819.00</td>\n      <td>19.783167</td>\n      <td>...</td>\n      <td>14.277750</td>\n      <td>-0.015417</td>\n      <td>13.751458</td>\n      <td>正常运行</td>\n      <td>2.795426e+06</td>\n      <td>3.381377e+07</td>\n      <td>2.564188e+07</td>\n      <td>1846524.00</td>\n      <td>6.968271</td>\n      <td>48.926375</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2022-01-25</td>\n      <td>538.31</td>\n      <td>36753</td>\n      <td>3860</td>\n      <td>551.21</td>\n      <td>1131</td>\n      <td>3621</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>981332.25</td>\n      <td>20.899917</td>\n      <td>...</td>\n      <td>14.441208</td>\n      <td>-0.008750</td>\n      <td>13.930542</td>\n      <td>正常运行</td>\n      <td>3.282900e+06</td>\n      <td>4.020975e+07</td>\n      <td>3.355836e+07</td>\n      <td>2091790.35</td>\n      <td>6.788958</td>\n      <td>49.144958</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2022-01-26</td>\n      <td>529.59</td>\n      <td>34148</td>\n      <td>3749</td>\n      <td>545.59</td>\n      <td>891</td>\n      <td>3735</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>973191.45</td>\n      <td>19.605917</td>\n      <td>...</td>\n      <td>14.133625</td>\n      <td>-0.019167</td>\n      <td>13.717375</td>\n      <td>正常运行</td>\n      <td>3.859786e+06</td>\n      <td>3.911198e+07</td>\n      <td>3.029390e+07</td>\n      <td>2072011.20</td>\n      <td>6.913479</td>\n      <td>49.117188</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2022-01-27</td>\n      <td>525.88</td>\n      <td>33630</td>\n      <td>3725</td>\n      <td>537.33</td>\n      <td>777</td>\n      <td>3446</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>976386.90</td>\n      <td>21.139042</td>\n      <td>...</td>\n      <td>13.993833</td>\n      <td>-0.019167</td>\n      <td>13.451958</td>\n      <td>正常运行</td>\n      <td>3.684927e+06</td>\n      <td>3.976530e+07</td>\n      <td>3.123768e+07</td>\n      <td>2055897.60</td>\n      <td>6.820521</td>\n      <td>48.889979</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2022-01-28</td>\n      <td>545.06</td>\n      <td>34181</td>\n      <td>3866</td>\n      <td>554.88</td>\n      <td>558</td>\n      <td>3721</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>995228.10</td>\n      <td>20.381167</td>\n      <td>...</td>\n      <td>14.186417</td>\n      <td>-0.007375</td>\n      <td>13.664208</td>\n      <td>正常运行</td>\n      <td>4.163429e+06</td>\n      <td>4.099262e+07</td>\n      <td>3.523118e+07</td>\n      <td>2088629.70</td>\n      <td>6.632417</td>\n      <td>49.155354</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2022-01-29</td>\n      <td>522.68</td>\n      <td>30637</td>\n      <td>3395</td>\n      <td>544.47</td>\n      <td>399</td>\n      <td>3142</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>967837.80</td>\n      <td>20.602667</td>\n      <td>...</td>\n      <td>14.288167</td>\n      <td>-0.012125</td>\n      <td>13.557125</td>\n      <td>正常运行</td>\n      <td>4.084923e+06</td>\n      <td>4.094954e+07</td>\n      <td>3.197806e+07</td>\n      <td>2051150.70</td>\n      <td>6.914521</td>\n      <td>49.168250</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-01-30</td>\n      <td>509.69</td>\n      <td>34254</td>\n      <td>3101</td>\n      <td>526.92</td>\n      <td>258</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>959857.95</td>\n      <td>22.424542</td>\n      <td>...</td>\n      <td>14.165333</td>\n      <td>-0.019083</td>\n      <td>13.457583</td>\n      <td>正常运行</td>\n      <td>3.480797e+06</td>\n      <td>4.399487e+07</td>\n      <td>4.178259e+07</td>\n      <td>2037258.90</td>\n      <td>6.831771</td>\n      <td>49.357229</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-01-31</td>\n      <td>516.51</td>\n      <td>32145</td>\n      <td>2985</td>\n      <td>528.13</td>\n      <td>210</td>\n      <td>2966</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>982636.80</td>\n      <td>22.933250</td>\n      <td>...</td>\n      <td>13.787333</td>\n      <td>-0.011708</td>\n      <td>13.436125</td>\n      <td>正常运行</td>\n      <td>3.887147e+06</td>\n      <td>4.427475e+07</td>\n      <td>3.732908e+07</td>\n      <td>2064487.35</td>\n      <td>7.017104</td>\n      <td>48.584083</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>2022-02-01</td>\n      <td>500.46</td>\n      <td>25687</td>\n      <td>2662</td>\n      <td>543.60</td>\n      <td>207</td>\n      <td>2895</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>958825.35</td>\n      <td>18.983458</td>\n      <td>...</td>\n      <td>13.722667</td>\n      <td>-0.020083</td>\n      <td>13.511750</td>\n      <td>正常运行</td>\n      <td>3.383877e+06</td>\n      <td>4.085998e+07</td>\n      <td>3.449124e+07</td>\n      <td>2047852.20</td>\n      <td>7.464958</td>\n      <td>48.320896</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>2022-02-02</td>\n      <td>477.03</td>\n      <td>29061</td>\n      <td>2821</td>\n      <td>534.40</td>\n      <td>186</td>\n      <td>2930</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>935412.75</td>\n      <td>19.692250</td>\n      <td>...</td>\n      <td>14.131875</td>\n      <td>-0.013042</td>\n      <td>13.611125</td>\n      <td>正常运行</td>\n      <td>3.049138e+06</td>\n      <td>3.918686e+07</td>\n      <td>3.206403e+07</td>\n      <td>2025385.50</td>\n      <td>7.444104</td>\n      <td>48.552771</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>2022-02-03</td>\n      <td>439.93</td>\n      <td>29598</td>\n      <td>2779</td>\n      <td>494.86</td>\n      <td>204</td>\n      <td>2937</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>908839.35</td>\n      <td>20.232167</td>\n      <td>...</td>\n      <td>13.783458</td>\n      <td>-0.020375</td>\n      <td>13.166667</td>\n      <td>正常运行</td>\n      <td>3.341479e+06</td>\n      <td>3.938607e+07</td>\n      <td>2.994317e+07</td>\n      <td>1968999.15</td>\n      <td>7.629937</td>\n      <td>48.365687</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>2022-02-04</td>\n      <td>452.76</td>\n      <td>28709</td>\n      <td>2523</td>\n      <td>493.99</td>\n      <td>282</td>\n      <td>2867</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>911025.60</td>\n      <td>18.351792</td>\n      <td>...</td>\n      <td>13.776375</td>\n      <td>-0.031458</td>\n      <td>13.159875</td>\n      <td>正常运行</td>\n      <td>3.128708e+06</td>\n      <td>3.498011e+07</td>\n      <td>2.834605e+07</td>\n      <td>1970188.50</td>\n      <td>7.782021</td>\n      <td>48.446104</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>2022-02-05</td>\n      <td>508.35</td>\n      <td>30133</td>\n      <td>2884</td>\n      <td>521.49</td>\n      <td>285</td>\n      <td>2916</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>920823.45</td>\n      <td>19.440333</td>\n      <td>...</td>\n      <td>13.928458</td>\n      <td>-0.020042</td>\n      <td>13.502917</td>\n      <td>正常运行</td>\n      <td>3.111385e+06</td>\n      <td>3.677589e+07</td>\n      <td>2.818258e+07</td>\n      <td>2005648.35</td>\n      <td>7.184229</td>\n      <td>49.038479</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>2022-02-06</td>\n      <td>485.41</td>\n      <td>27635</td>\n      <td>2902</td>\n      <td>503.13</td>\n      <td>363</td>\n      <td>2947</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>916121.70</td>\n      <td>18.340417</td>\n      <td>...</td>\n      <td>13.860208</td>\n      <td>-0.019833</td>\n      <td>13.172083</td>\n      <td>正常运行</td>\n      <td>3.455052e+06</td>\n      <td>3.308199e+07</td>\n      <td>2.807928e+07</td>\n      <td>1975579.65</td>\n      <td>7.313896</td>\n      <td>48.821979</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>2022-02-07</td>\n      <td>469.75</td>\n      <td>28259</td>\n      <td>2939</td>\n      <td>484.85</td>\n      <td>363</td>\n      <td>2754</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>917169.90</td>\n      <td>18.995583</td>\n      <td>...</td>\n      <td>13.576750</td>\n      <td>-0.021792</td>\n      <td>12.952875</td>\n      <td>正常运行</td>\n      <td>3.439634e+06</td>\n      <td>3.676384e+07</td>\n      <td>2.925662e+07</td>\n      <td>1963510.95</td>\n      <td>7.419667</td>\n      <td>48.461833</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>2022-02-08</td>\n      <td>452.87</td>\n      <td>26685</td>\n      <td>2556</td>\n      <td>481.92</td>\n      <td>603</td>\n      <td>2485</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>886401.60</td>\n      <td>20.192167</td>\n      <td>...</td>\n      <td>13.721208</td>\n      <td>-0.025417</td>\n      <td>12.863625</td>\n      <td>正常运行</td>\n      <td>3.257388e+06</td>\n      <td>3.744135e+07</td>\n      <td>2.738935e+07</td>\n      <td>1923192.15</td>\n      <td>7.390354</td>\n      <td>48.752333</td>\n    </tr>\n    <tr>\n      <th>39</th>\n      <td>2022-02-09</td>\n      <td>470.87</td>\n      <td>26037</td>\n      <td>2691</td>\n      <td>488.17</td>\n      <td>681</td>\n      <td>2834</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>906835.80</td>\n      <td>19.853292</td>\n      <td>...</td>\n      <td>14.036875</td>\n      <td>-0.026583</td>\n      <td>12.952667</td>\n      <td>正常运行</td>\n      <td>3.433475e+06</td>\n      <td>3.669136e+07</td>\n      <td>2.877928e+07</td>\n      <td>1945687.50</td>\n      <td>7.280375</td>\n      <td>49.129250</td>\n    </tr>\n    <tr>\n      <th>40</th>\n      <td>2022-02-10</td>\n      <td>490.75</td>\n      <td>25530</td>\n      <td>2901</td>\n      <td>508.89</td>\n      <td>591</td>\n      <td>3172</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>928945.80</td>\n      <td>19.825792</td>\n      <td>...</td>\n      <td>13.953417</td>\n      <td>-0.011083</td>\n      <td>13.232667</td>\n      <td>正常运行</td>\n      <td>3.066035e+06</td>\n      <td>3.750276e+07</td>\n      <td>3.010066e+07</td>\n      <td>1991943.15</td>\n      <td>7.293646</td>\n      <td>48.845062</td>\n    </tr>\n    <tr>\n      <th>41</th>\n      <td>2022-02-11</td>\n      <td>467.50</td>\n      <td>24359</td>\n      <td>2790</td>\n      <td>497.45</td>\n      <td>735</td>\n      <td>2835</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>885137.40</td>\n      <td>20.022458</td>\n      <td>...</td>\n      <td>14.210083</td>\n      <td>-0.011542</td>\n      <td>13.247875</td>\n      <td>正常运行</td>\n      <td>2.696465e+06</td>\n      <td>3.593293e+07</td>\n      <td>3.018604e+07</td>\n      <td>1944751.05</td>\n      <td>7.397271</td>\n      <td>48.866104</td>\n    </tr>\n    <tr>\n      <th>42</th>\n      <td>2022-02-12</td>\n      <td>446.31</td>\n      <td>24180</td>\n      <td>2766</td>\n      <td>474.04</td>\n      <td>621</td>\n      <td>2787</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>878793.15</td>\n      <td>19.901583</td>\n      <td>...</td>\n      <td>13.956625</td>\n      <td>-0.018250</td>\n      <td>12.992667</td>\n      <td>正常运行</td>\n      <td>2.753090e+06</td>\n      <td>3.688195e+07</td>\n      <td>2.234456e+07</td>\n      <td>1922297.55</td>\n      <td>7.691063</td>\n      <td>48.736104</td>\n    </tr>\n    <tr>\n      <th>43</th>\n      <td>2022-02-13</td>\n      <td>466.12</td>\n      <td>25274</td>\n      <td>3054</td>\n      <td>491.41</td>\n      <td>594</td>\n      <td>2915</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>904216.50</td>\n      <td>19.563583</td>\n      <td>...</td>\n      <td>14.427542</td>\n      <td>-0.037625</td>\n      <td>13.313500</td>\n      <td>正常运行</td>\n      <td>3.269083e+06</td>\n      <td>3.864251e+07</td>\n      <td>2.867572e+07</td>\n      <td>1965252.00</td>\n      <td>7.748604</td>\n      <td>49.199021</td>\n    </tr>\n    <tr>\n      <th>44</th>\n      <td>2022-02-14</td>\n      <td>464.96</td>\n      <td>29338</td>\n      <td>2533</td>\n      <td>491.96</td>\n      <td>651</td>\n      <td>2555</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>898221.45</td>\n      <td>19.591208</td>\n      <td>...</td>\n      <td>14.049500</td>\n      <td>-0.044708</td>\n      <td>13.217542</td>\n      <td>正常运行</td>\n      <td>3.087706e+06</td>\n      <td>3.841128e+07</td>\n      <td>3.104611e+07</td>\n      <td>1957558.65</td>\n      <td>7.621833</td>\n      <td>48.851146</td>\n    </tr>\n    <tr>\n      <th>45</th>\n      <td>2022-02-15</td>\n      <td>466.40</td>\n      <td>27394</td>\n      <td>2611</td>\n      <td>444.04</td>\n      <td>474</td>\n      <td>2447</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>898496.85</td>\n      <td>20.304208</td>\n      <td>...</td>\n      <td>14.077958</td>\n      <td>-0.049333</td>\n      <td>12.751083</td>\n      <td>正常运行</td>\n      <td>3.037218e+06</td>\n      <td>3.734639e+07</td>\n      <td>2.805741e+07</td>\n      <td>1920186.00</td>\n      <td>7.697042</td>\n      <td>49.214938</td>\n    </tr>\n    <tr>\n      <th>46</th>\n      <td>2022-02-16</td>\n      <td>493.26</td>\n      <td>27639</td>\n      <td>2905</td>\n      <td>420.10</td>\n      <td>1074</td>\n      <td>2350</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>930371.55</td>\n      <td>19.781625</td>\n      <td>...</td>\n      <td>13.875458</td>\n      <td>-0.062125</td>\n      <td>12.336333</td>\n      <td>正常运行</td>\n      <td>3.084249e+06</td>\n      <td>3.507652e+07</td>\n      <td>2.544350e+07</td>\n      <td>1921440.75</td>\n      <td>7.688979</td>\n      <td>48.873500</td>\n    </tr>\n    <tr>\n      <th>47</th>\n      <td>2022-02-17</td>\n      <td>495.53</td>\n      <td>30228</td>\n      <td>2894</td>\n      <td>469.32</td>\n      <td>1362</td>\n      <td>2623</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>924087.90</td>\n      <td>20.751667</td>\n      <td>...</td>\n      <td>14.031000</td>\n      <td>-0.041375</td>\n      <td>12.966167</td>\n      <td>正常运行</td>\n      <td>3.212510e+06</td>\n      <td>3.966341e+07</td>\n      <td>3.042935e+07</td>\n      <td>1963527.00</td>\n      <td>7.333896</td>\n      <td>48.704292</td>\n    </tr>\n    <tr>\n      <th>48</th>\n      <td>2022-02-18</td>\n      <td>524.59</td>\n      <td>28126</td>\n      <td>3030</td>\n      <td>531.28</td>\n      <td>1413</td>\n      <td>2724</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>943475.55</td>\n      <td>17.547500</td>\n      <td>...</td>\n      <td>13.987625</td>\n      <td>-0.024583</td>\n      <td>13.562792</td>\n      <td>正常运行</td>\n      <td>3.050259e+06</td>\n      <td>3.564007e+07</td>\n      <td>3.143818e+07</td>\n      <td>2031894.75</td>\n      <td>7.328792</td>\n      <td>48.887729</td>\n    </tr>\n    <tr>\n      <th>49</th>\n      <td>2022-02-19</td>\n      <td>466.49</td>\n      <td>27575</td>\n      <td>2470</td>\n      <td>497.11</td>\n      <td>1317</td>\n      <td>2409</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>927422.25</td>\n      <td>16.901125</td>\n      <td>...</td>\n      <td>13.605208</td>\n      <td>-0.032292</td>\n      <td>13.194958</td>\n      <td>正常运行</td>\n      <td>2.740527e+06</td>\n      <td>3.419912e+07</td>\n      <td>2.805847e+07</td>\n      <td>1992640.95</td>\n      <td>7.855208</td>\n      <td>48.220813</td>\n    </tr>\n    <tr>\n      <th>50</th>\n      <td>2022-02-20</td>\n      <td>503.46</td>\n      <td>27424</td>\n      <td>2799</td>\n      <td>460.91</td>\n      <td>1281</td>\n      <td>2916</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956680.50</td>\n      <td>17.790792</td>\n      <td>...</td>\n      <td>14.403625</td>\n      <td>-0.016708</td>\n      <td>13.532375</td>\n      <td>正常运行</td>\n      <td>2.996695e+06</td>\n      <td>3.728772e+07</td>\n      <td>2.900427e+07</td>\n      <td>2035819.35</td>\n      <td>7.383833</td>\n      <td>48.957958</td>\n    </tr>\n    <tr>\n      <th>51</th>\n      <td>2022-02-21</td>\n      <td>521.02</td>\n      <td>26965</td>\n      <td>3098</td>\n      <td>482.89</td>\n      <td>1317</td>\n      <td>2996</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>948743.85</td>\n      <td>20.735625</td>\n      <td>...</td>\n      <td>14.083542</td>\n      <td>-0.014750</td>\n      <td>13.520000</td>\n      <td>正常运行</td>\n      <td>2.960574e+06</td>\n      <td>4.047547e+07</td>\n      <td>2.697417e+07</td>\n      <td>2032423.35</td>\n      <td>7.010000</td>\n      <td>48.847854</td>\n    </tr>\n    <tr>\n      <th>52</th>\n      <td>2022-02-22</td>\n      <td>528.08</td>\n      <td>26886</td>\n      <td>3317</td>\n      <td>490.45</td>\n      <td>1314</td>\n      <td>3209</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>960633.00</td>\n      <td>20.336125</td>\n      <td>...</td>\n      <td>14.153542</td>\n      <td>-0.018667</td>\n      <td>13.514750</td>\n      <td>正常运行</td>\n      <td>3.110037e+06</td>\n      <td>4.062912e+07</td>\n      <td>3.299243e+07</td>\n      <td>2042738.40</td>\n      <td>7.273062</td>\n      <td>48.764396</td>\n    </tr>\n    <tr>\n      <th>53</th>\n      <td>2022-02-23</td>\n      <td>533.95</td>\n      <td>25022</td>\n      <td>3174</td>\n      <td>494.54</td>\n      <td>1407</td>\n      <td>2868</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>962487.30</td>\n      <td>14.817583</td>\n      <td>...</td>\n      <td>14.195833</td>\n      <td>-0.019167</td>\n      <td>13.393625</td>\n      <td>正常运行</td>\n      <td>3.387878e+06</td>\n      <td>3.183804e+07</td>\n      <td>2.369775e+07</td>\n      <td>2033981.55</td>\n      <td>7.224937</td>\n      <td>48.799562</td>\n    </tr>\n    <tr>\n      <th>54</th>\n      <td>2022-02-24</td>\n      <td>505.76</td>\n      <td>26727</td>\n      <td>3079</td>\n      <td>527.43</td>\n      <td>1200</td>\n      <td>2921</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>923360.40</td>\n      <td>12.179875</td>\n      <td>...</td>\n      <td>14.195417</td>\n      <td>-0.010125</td>\n      <td>13.237458</td>\n      <td>正常运行</td>\n      <td>3.054718e+06</td>\n      <td>2.616740e+07</td>\n      <td>1.551571e+07</td>\n      <td>1982798.25</td>\n      <td>7.190104</td>\n      <td>48.974646</td>\n    </tr>\n    <tr>\n      <th>55</th>\n      <td>2022-02-25</td>\n      <td>445.43</td>\n      <td>21930</td>\n      <td>2580</td>\n      <td>473.06</td>\n      <td>1368</td>\n      <td>2584</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>860085.15</td>\n      <td>10.475958</td>\n      <td>...</td>\n      <td>13.771625</td>\n      <td>-0.005583</td>\n      <td>12.710292</td>\n      <td>正常运行</td>\n      <td>3.373946e+06</td>\n      <td>2.214439e+07</td>\n      <td>1.249294e+07</td>\n      <td>1884392.25</td>\n      <td>7.462646</td>\n      <td>48.143604</td>\n    </tr>\n    <tr>\n      <th>56</th>\n      <td>2022-02-26</td>\n      <td>491.01</td>\n      <td>16645</td>\n      <td>2733</td>\n      <td>509.18</td>\n      <td>1341</td>\n      <td>2545</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>902073.30</td>\n      <td>16.492917</td>\n      <td>...</td>\n      <td>13.873167</td>\n      <td>0.002500</td>\n      <td>12.894500</td>\n      <td>正常运行</td>\n      <td>3.187907e+06</td>\n      <td>3.175337e+07</td>\n      <td>1.782747e+07</td>\n      <td>1939395.60</td>\n      <td>7.310292</td>\n      <td>48.442021</td>\n    </tr>\n    <tr>\n      <th>57</th>\n      <td>2022-02-27</td>\n      <td>465.33</td>\n      <td>17884</td>\n      <td>2862</td>\n      <td>500.18</td>\n      <td>1269</td>\n      <td>2825</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>873491.25</td>\n      <td>19.575875</td>\n      <td>...</td>\n      <td>13.949583</td>\n      <td>0.000250</td>\n      <td>12.880750</td>\n      <td>正常运行</td>\n      <td>2.963942e+06</td>\n      <td>3.711246e+07</td>\n      <td>3.403898e+07</td>\n      <td>1908718.80</td>\n      <td>7.521104</td>\n      <td>48.592125</td>\n    </tr>\n    <tr>\n      <th>58</th>\n      <td>2022-02-28</td>\n      <td>487.21</td>\n      <td>15457</td>\n      <td>3029</td>\n      <td>497.76</td>\n      <td>1236</td>\n      <td>2632</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>873223.80</td>\n      <td>19.886042</td>\n      <td>...</td>\n      <td>14.249000</td>\n      <td>0.008292</td>\n      <td>12.840625</td>\n      <td>正常运行</td>\n      <td>3.560515e+06</td>\n      <td>3.739143e+07</td>\n      <td>3.444434e+07</td>\n      <td>1900445.85</td>\n      <td>7.381438</td>\n      <td>49.157917</td>\n    </tr>\n  </tbody>\n</table>\n<p>59 rows × 34 columns</p>\n</div>"
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hddj_daily['c_smoke'] = hddj_daily['机组1_流量 （m3/h）'] * hddj_daily['机组1_烟尘浓度(mg/m3)'] + hddj_daily['机组2_流量 （m3/h）'] * hddj_daily['机组2_烟尘浓度(mg/m3)']\n",
+    "hddj_daily['c_NO2'] = hddj_daily['机组1_流量 （m3/h）'] * hddj_daily['机组1_NOx浓度(mg/m3)'] + hddj_daily['机组2_流量 （m3/h）'] * hddj_daily['机组2_NOx浓度(mg/m3)']\n",
+    "hddj_daily['c_SO2'] = hddj_daily['机组1_流量 （m3/h）'] * hddj_daily['机组1_SO2浓度(mg/m3)'] + hddj_daily['机组2_流量 （m3/h）'] * hddj_daily['机组2_SO2浓度(mg/m3)']\n",
+    "hddj_daily['flow'] = hddj_daily['机组1_流量 （m3/h）'] + hddj_daily['机组2_流量 （m3/h）']\n",
+    "hddj_daily['r_O2'] = (hddj_daily['机组1_含氧量（%）'] + hddj_daily['机组2_含氧量（%）']) / 2\n",
+    "hddj_daily['temperature'] = (hddj_daily['机组1_温度（℃）'] + hddj_daily['机组2_温度（℃）']) / 2\n",
+    "hddj_daily"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "outputs": [],
+   "source": [
+    "hddj_daily['发电量（万千瓦时）'] = hddj_daily['发电量_1（万千瓦时）'] + hddj_daily['发电量_2（万千瓦时）']\n",
+    "hddj_daily['供热量（吉焦）'] = hddj_daily['供热量_1（吉焦）'] + hddj_daily['供热量_2（吉焦）']\n",
+    "hddj_daily['燃料消耗量（吨）'] = hddj_daily['燃料消耗量_1（吨）'] = hddj_daily['燃料消耗量_2（吨）']\n",
+    "hddj_daily['num_workers'] = (hddj_daily[['机组1_状态', '机组2_状态']] == '正常运行').sum(axis=1).values"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "outputs": [],
+   "source": [
+    "hddj_daily_final = hddj_daily[\n",
+    "    ['days', '企业名称', 'r_O2', 'temperature', '发电量（万千瓦时）', '供热量（吉焦）', 'c_smoke', 'c_NO2', 'c_SO2', 'flow', 'num_workers',\n",
+    "     '燃料消耗量（吨）']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "(31, 26)"
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily.rename(columns={'Unnamed: 0': 'days'}, inplace=True)\n",
+    "jtzh_daily['机组1_状态'] = (jtzh_daily['机组1_状态'] == '正常运行') * 1\n",
+    "jtzh_daily['机组2_状态'] = (jtzh_daily['机组2_状态'] == '正常运行') * 1\n",
+    "jtzh_daily.shape"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['days', '发电量_1（万千瓦时）', '供热量_1（吉焦）', '燃料消耗量_1（吨）', '发电量_2（万千瓦时）',\n       '供热量_2（吉焦）', '燃料消耗量_2（吨）', '企业名称', '机组1_流量 （m3/h）', '机组1_NOx浓度(mg/m3)',\n       '机组1_SO2浓度(mg/m3)', '机组1_烟尘浓度(mg/m3)', '机组1_含氧量（%）', '机组1_温度（℃）',\n       '机组1_烟气湿度（%）', '机组1_烟气流速（m/s）', '机组1_状态', '机组2_流量 （m3/h）',\n       '机组2_NOx浓度(mg/m3)', '机组2_SO2浓度(mg/m3)', '机组2_烟尘浓度(mg/m3)', '机组2_含氧量（%）',\n       '机组2_温度（℃）', '机组2_烟气湿度（%）', '机组2_烟气流速（m/s）', '机组2_状态'],\n      dtype='object')"
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily.columns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "['机组1_NOx浓度(mg/m3)',\n '机组1_SO2浓度(mg/m3)',\n '机组1_烟尘浓度(mg/m3)',\n '机组2_NOx浓度(mg/m3)',\n '机组2_SO2浓度(mg/m3)',\n '机组2_烟尘浓度(mg/m3)']"
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "r_cols = [x for x in jtzh_daily.columns if '浓度' in x]\n",
+    "r_cols"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "outputs": [],
+   "source": [
+    "for col in r_cols:\n",
+    "    if '机组1' in col:\n",
+    "        jtzh_daily[col] = jtzh_daily[col] * jtzh_daily['机组1_状态']\n",
+    "    else:\n",
+    "        jtzh_daily[col] = jtzh_daily[col] * jtzh_daily['机组2_状态']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "          days  发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n0   2022-05-01      444.630          0        1889        0.000          0   \n1   2022-05-02      516.594          0        2622        0.000          0   \n2   2022-05-03      410.316          0        2233        0.000          0   \n3   2022-05-04      421.908          0        2203        0.000          0   \n4   2022-05-05      486.318          0        2524        0.000          0   \n5   2022-05-06      457.542          0        2343        0.000          0   \n6   2022-05-07      451.140          0        2278        0.000          0   \n7   2022-05-08      484.986          0        1120      218.196          0   \n8   2022-05-09        0.000          0           0      444.756          0   \n9   2022-05-10        0.000          0           0      552.114          0   \n10  2022-05-11        0.000          0           0      481.542          0   \n11  2022-05-12        0.000          0           0      439.788          0   \n12  2022-05-13        0.000          0           0      495.702          0   \n13  2022-05-14        0.000          0         121      486.624          0   \n14  2022-05-15      159.936          0        2251      460.524          0   \n15  2022-05-16      516.192          0        2543      505.578          0   \n16  2022-05-17      432.300          0        2432      432.450          0   \n17  2022-05-18      508.680          0        2810      509.586          0   \n18  2022-05-19      516.066          0        2972      514.404          0   \n19  2022-05-20      517.356          0        2623      514.434          0   \n20  2022-05-21      521.454          0        2759      520.626          0   \n21  2022-05-22      504.798          0        2545      500.040          0   \n22  2022-05-23      587.400          0        3294      584.886          0   \n23  2022-05-24      515.964          0        2633      514.488          0   \n24  2022-05-25      485.346          0        2694      486.474          0   \n25  2022-05-26      503.502          0        2619      501.366          0   \n26  2022-05-27      470.340          0        2510      467.106          0   \n27  2022-05-28      508.644          0        2753      504.900          0   \n28  2022-05-29      460.536          0        1163      462.822          0   \n29  2022-05-30        8.610          0           0      528.960          0   \n30  2022-05-31        0.000          0           0      672.180          0   \n\n    燃料消耗量_2（吨）          企业名称  机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  ...  \\\n0            0  建投遵化热电有限责任公司         820965         12.952083  ...   \n1            0  建投遵化热电有限责任公司         907380         14.641667  ...   \n2            0  建投遵化热电有限责任公司         771360         14.414167  ...   \n3            0  建投遵化热电有限责任公司         780390         14.922500  ...   \n4            0  建投遵化热电有限责任公司         870075         14.102917  ...   \n5            0  建投遵化热电有限责任公司         816300         14.321667  ...   \n6          426  建投遵化热电有限责任公司         804405         16.310833  ...   \n7         1873  建投遵化热电有限责任公司         845610         18.585417  ...   \n8         2350  建投遵化热电有限责任公司          26370          0.000000  ...   \n9         2636  建投遵化热电有限责任公司         269970         -0.000000  ...   \n10        2432  建投遵化热电有限责任公司         163470         -0.000000  ...   \n11        2099  建投遵化热电有限责任公司          27720         -0.000000  ...   \n12        2340  建投遵化热电有限责任公司          50760         -0.000000  ...   \n13        2737  建投遵化热电有限责任公司          48540         -0.000000  ...   \n14        2461  建投遵化热电有限责任公司         602865          0.000000  ...   \n15        2615  建投遵化热电有限责任公司         912705         14.561250  ...   \n16        2593  建投遵化热电有限责任公司         816165         13.918333  ...   \n17        2871  建投遵化热电有限责任公司         892620         14.547083  ...   \n18        2637  建投遵化热电有限责任公司         904860         15.437083  ...   \n19        2682  建投遵化热电有限责任公司         906690         13.552917  ...   \n20        2581  建投遵化热电有限责任公司         931575         16.459583  ...   \n21        2632  建投遵化热电有限责任公司         891885         15.156250  ...   \n22        3187  建投遵化热电有限责任公司        1000560         14.451667  ...   \n23        2719  建投遵化热电有限责任公司         921300         13.775000  ...   \n24        2599  建投遵化热电有限责任公司         867765         15.344167  ...   \n25        2794  建投遵化热电有限责任公司         902100         14.439167  ...   \n26        2401  建投遵化热电有限责任公司         865320         14.760000  ...   \n27        2611  建投遵化热电有限责任公司         925965         15.012917  ...   \n28        2846  建投遵化热电有限责任公司         861255         14.035000  ...   \n29        2981  建投遵化热电有限责任公司          71640          0.000000  ...   \n30        3560  建投遵化热电有限责任公司          53550         -0.000000  ...   \n\n    机组2_含氧量（%）  机组2_温度（℃）  机组2_烟气湿度（%）  机组2_烟气流速（m/s）  机组2_状态       c_smoke  \\\n0    20.512500  13.150000     0.000000       0.630417       0  1.467475e+06   \n1    20.416667  15.525000     0.000000       0.704583       0  1.558803e+06   \n2    19.479167  22.129167     0.200000       0.722917       0  1.427659e+06   \n3    20.095833  26.258333     0.016667       0.757500       0  1.499975e+06   \n4    20.150000  23.062500     0.212500       0.750000       0  1.724199e+06   \n5    20.308333  15.370833     0.000000       0.590417       0  1.411859e+06   \n6    19.883333  17.375000     0.104167       1.297083       0  1.478429e+06   \n7    10.775000  35.941667     6.804167       7.757917       1  2.396737e+06   \n8     7.158333  44.408333    11.366667       9.436250       1  7.610114e+05   \n9     6.433333  44.408333    11.441667      10.987083       1  1.208959e+06   \n10    6.629167  43.937500    10.600000       9.805833       1  1.065258e+06   \n11    6.604167  43.604167    10.866667       9.228333       1  9.060769e+05   \n12    6.254167  43.504167    10.720833      10.015833       1  1.045388e+06   \n13    6.375000  44.533333    11.595833      10.068750       1  1.115339e+06   \n14    6.437500  44.541667    11.550000       9.954583       1  1.013003e+06   \n15    6.450000  45.491667    12.154167      10.716250       1  2.361479e+06   \n16    6.983333  46.116667    12.208333       9.870833       1  2.255301e+06   \n17    6.391667  44.933333    11.258333      10.660833       1  2.653283e+06   \n18    6.395833  44.466667    11.366667      10.697083       1  2.568589e+06   \n19    6.225000  45.175000    11.695833      10.653333       1  2.593866e+06   \n20    6.458333  45.204167     9.837500      10.888750       1  2.917082e+06   \n21    6.337500  45.016667    10.062500      10.512083       1  2.598573e+06   \n22    5.845833  45.633333     9.937500      11.813750       1  3.329049e+06   \n23    6.166667  45.575000     9.408333      10.788750       1  3.129108e+06   \n24    6.295833  44.412500     8.583333      10.172083       1  2.480569e+06   \n25    6.237500  44.458333     8.741667      10.432917       1  2.614804e+06   \n26    6.329167  44.741667     8.937500       9.993750       1  2.490713e+06   \n27    6.183333  45.587500     9.491667      10.801250       1  2.751636e+06   \n28    6.425000  45.545833     9.350000      10.090000       1  2.485026e+06   \n29    6.162500  45.175000     9.208333      11.002083       1  1.296293e+06   \n30    5.570833  46.100000     9.641667      12.008333       1  1.554891e+06   \n\n           c_NO2         c_SO2     flow  num_workers  \n0   1.063321e+07  1.055453e+07   885255            1  \n1   1.328556e+07  1.074905e+07   978615            1  \n2   1.111851e+07  9.591219e+06   842730            1  \n3   1.164537e+07  1.007516e+07   854175            1  \n4   1.227060e+07  1.193453e+07   943680            1  \n5   1.169078e+07  1.180268e+07   875910            1  \n6   1.312052e+07  1.068216e+07   932910            1  \n7   1.072698e+08  1.611399e+07  1522095            2  \n8   1.081296e+07  1.094166e+07   794745            1  \n9   1.306011e+07  1.314343e+07  1162740            1  \n10  1.209778e+07  1.155961e+07   969720            1  \n11  1.188950e+07  1.051744e+07   785415            1  \n12  1.160185e+07  1.131331e+07   874170            1  \n13  1.296352e+07  1.131637e+07   865140            1  \n14  1.141903e+07  1.151946e+07  1411650            1  \n15  2.686400e+07  2.542802e+07  1774470            2  \n16  2.210454e+07  2.162856e+07  1608390            2  \n17  2.557269e+07  2.404839e+07  1759515            2  \n18  2.660304e+07  2.629089e+07  1776315            2  \n19  2.415307e+07  2.547191e+07  1768695            2  \n20  2.911351e+07  2.318604e+07  1829745            2  \n21  2.747811e+07  2.431197e+07  1758345            2  \n22  3.016544e+07  2.860469e+07  1975185            2  \n23  2.535273e+07  2.322635e+07  1816260            2  \n24  2.632076e+07  2.366318e+07  1721970            2  \n25  2.661596e+07  2.546844e+07  1776525            2  \n26  2.451132e+07  2.202474e+07  1701420            2  \n27  2.783192e+07  2.689073e+07  1821480            2  \n28  2.475814e+07  2.233955e+07  1699200            2  \n29  1.442430e+07  1.434195e+07   986670            1  \n30  1.758048e+07  1.593381e+07  1045770            1  \n\n[31 rows x 31 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>...</th>\n      <th>机组2_含氧量（%）</th>\n      <th>机组2_温度（℃）</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>num_workers</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-05-01</td>\n      <td>444.630</td>\n      <td>0</td>\n      <td>1889</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>820965</td>\n      <td>12.952083</td>\n      <td>...</td>\n      <td>20.512500</td>\n      <td>13.150000</td>\n      <td>0.000000</td>\n      <td>0.630417</td>\n      <td>0</td>\n      <td>1.467475e+06</td>\n      <td>1.063321e+07</td>\n      <td>1.055453e+07</td>\n      <td>885255</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-05-02</td>\n      <td>516.594</td>\n      <td>0</td>\n      <td>2622</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>907380</td>\n      <td>14.641667</td>\n      <td>...</td>\n      <td>20.416667</td>\n      <td>15.525000</td>\n      <td>0.000000</td>\n      <td>0.704583</td>\n      <td>0</td>\n      <td>1.558803e+06</td>\n      <td>1.328556e+07</td>\n      <td>1.074905e+07</td>\n      <td>978615</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-05-03</td>\n      <td>410.316</td>\n      <td>0</td>\n      <td>2233</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>771360</td>\n      <td>14.414167</td>\n      <td>...</td>\n      <td>19.479167</td>\n      <td>22.129167</td>\n      <td>0.200000</td>\n      <td>0.722917</td>\n      <td>0</td>\n      <td>1.427659e+06</td>\n      <td>1.111851e+07</td>\n      <td>9.591219e+06</td>\n      <td>842730</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-05-04</td>\n      <td>421.908</td>\n      <td>0</td>\n      <td>2203</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>780390</td>\n      <td>14.922500</td>\n      <td>...</td>\n      <td>20.095833</td>\n      <td>26.258333</td>\n      <td>0.016667</td>\n      <td>0.757500</td>\n      <td>0</td>\n      <td>1.499975e+06</td>\n      <td>1.164537e+07</td>\n      <td>1.007516e+07</td>\n      <td>854175</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-05-05</td>\n      <td>486.318</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>870075</td>\n      <td>14.102917</td>\n      <td>...</td>\n      <td>20.150000</td>\n      <td>23.062500</td>\n      <td>0.212500</td>\n      <td>0.750000</td>\n      <td>0</td>\n      <td>1.724199e+06</td>\n      <td>1.227060e+07</td>\n      <td>1.193453e+07</td>\n      <td>943680</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2022-05-06</td>\n      <td>457.542</td>\n      <td>0</td>\n      <td>2343</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816300</td>\n      <td>14.321667</td>\n      <td>...</td>\n      <td>20.308333</td>\n      <td>15.370833</td>\n      <td>0.000000</td>\n      <td>0.590417</td>\n      <td>0</td>\n      <td>1.411859e+06</td>\n      <td>1.169078e+07</td>\n      <td>1.180268e+07</td>\n      <td>875910</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2022-05-07</td>\n      <td>451.140</td>\n      <td>0</td>\n      <td>2278</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>804405</td>\n      <td>16.310833</td>\n      <td>...</td>\n      <td>19.883333</td>\n      <td>17.375000</td>\n      <td>0.104167</td>\n      <td>1.297083</td>\n      <td>0</td>\n      <td>1.478429e+06</td>\n      <td>1.312052e+07</td>\n      <td>1.068216e+07</td>\n      <td>932910</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2022-05-08</td>\n      <td>484.986</td>\n      <td>0</td>\n      <td>1120</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>845610</td>\n      <td>18.585417</td>\n      <td>...</td>\n      <td>10.775000</td>\n      <td>35.941667</td>\n      <td>6.804167</td>\n      <td>7.757917</td>\n      <td>1</td>\n      <td>2.396737e+06</td>\n      <td>1.072698e+08</td>\n      <td>1.611399e+07</td>\n      <td>1522095</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2022-05-09</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>26370</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>7.158333</td>\n      <td>44.408333</td>\n      <td>11.366667</td>\n      <td>9.436250</td>\n      <td>1</td>\n      <td>7.610114e+05</td>\n      <td>1.081296e+07</td>\n      <td>1.094166e+07</td>\n      <td>794745</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2022-05-10</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>269970</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.433333</td>\n      <td>44.408333</td>\n      <td>11.441667</td>\n      <td>10.987083</td>\n      <td>1</td>\n      <td>1.208959e+06</td>\n      <td>1.306011e+07</td>\n      <td>1.314343e+07</td>\n      <td>1162740</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2022-05-11</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>163470</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.629167</td>\n      <td>43.937500</td>\n      <td>10.600000</td>\n      <td>9.805833</td>\n      <td>1</td>\n      <td>1.065258e+06</td>\n      <td>1.209778e+07</td>\n      <td>1.155961e+07</td>\n      <td>969720</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2022-05-12</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>27720</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.604167</td>\n      <td>43.604167</td>\n      <td>10.866667</td>\n      <td>9.228333</td>\n      <td>1</td>\n      <td>9.060769e+05</td>\n      <td>1.188950e+07</td>\n      <td>1.051744e+07</td>\n      <td>785415</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2022-05-13</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>50760</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.254167</td>\n      <td>43.504167</td>\n      <td>10.720833</td>\n      <td>10.015833</td>\n      <td>1</td>\n      <td>1.045388e+06</td>\n      <td>1.160185e+07</td>\n      <td>1.131331e+07</td>\n      <td>874170</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2022-05-14</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>121</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>48540</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.375000</td>\n      <td>44.533333</td>\n      <td>11.595833</td>\n      <td>10.068750</td>\n      <td>1</td>\n      <td>1.115339e+06</td>\n      <td>1.296352e+07</td>\n      <td>1.131637e+07</td>\n      <td>865140</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2022-05-15</td>\n      <td>159.936</td>\n      <td>0</td>\n      <td>2251</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>602865</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>6.437500</td>\n      <td>44.541667</td>\n      <td>11.550000</td>\n      <td>9.954583</td>\n      <td>1</td>\n      <td>1.013003e+06</td>\n      <td>1.141903e+07</td>\n      <td>1.151946e+07</td>\n      <td>1411650</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2022-05-16</td>\n      <td>516.192</td>\n      <td>0</td>\n      <td>2543</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>912705</td>\n      <td>14.561250</td>\n      <td>...</td>\n      <td>6.450000</td>\n      <td>45.491667</td>\n      <td>12.154167</td>\n      <td>10.716250</td>\n      <td>1</td>\n      <td>2.361479e+06</td>\n      <td>2.686400e+07</td>\n      <td>2.542802e+07</td>\n      <td>1774470</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2022-05-17</td>\n      <td>432.300</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816165</td>\n      <td>13.918333</td>\n      <td>...</td>\n      <td>6.983333</td>\n      <td>46.116667</td>\n      <td>12.208333</td>\n      <td>9.870833</td>\n      <td>1</td>\n      <td>2.255301e+06</td>\n      <td>2.210454e+07</td>\n      <td>2.162856e+07</td>\n      <td>1608390</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2022-05-18</td>\n      <td>508.680</td>\n      <td>0</td>\n      <td>2810</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>892620</td>\n      <td>14.547083</td>\n      <td>...</td>\n      <td>6.391667</td>\n      <td>44.933333</td>\n      <td>11.258333</td>\n      <td>10.660833</td>\n      <td>1</td>\n      <td>2.653283e+06</td>\n      <td>2.557269e+07</td>\n      <td>2.404839e+07</td>\n      <td>1759515</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2022-05-19</td>\n      <td>516.066</td>\n      <td>0</td>\n      <td>2972</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>904860</td>\n      <td>15.437083</td>\n      <td>...</td>\n      <td>6.395833</td>\n      <td>44.466667</td>\n      <td>11.366667</td>\n      <td>10.697083</td>\n      <td>1</td>\n      <td>2.568589e+06</td>\n      <td>2.660304e+07</td>\n      <td>2.629089e+07</td>\n      <td>1776315</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2022-05-20</td>\n      <td>517.356</td>\n      <td>0</td>\n      <td>2623</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>906690</td>\n      <td>13.552917</td>\n      <td>...</td>\n      <td>6.225000</td>\n      <td>45.175000</td>\n      <td>11.695833</td>\n      <td>10.653333</td>\n      <td>1</td>\n      <td>2.593866e+06</td>\n      <td>2.415307e+07</td>\n      <td>2.547191e+07</td>\n      <td>1768695</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2022-05-21</td>\n      <td>521.454</td>\n      <td>0</td>\n      <td>2759</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>931575</td>\n      <td>16.459583</td>\n      <td>...</td>\n      <td>6.458333</td>\n      <td>45.204167</td>\n      <td>9.837500</td>\n      <td>10.888750</td>\n      <td>1</td>\n      <td>2.917082e+06</td>\n      <td>2.911351e+07</td>\n      <td>2.318604e+07</td>\n      <td>1829745</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2022-05-22</td>\n      <td>504.798</td>\n      <td>0</td>\n      <td>2545</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>891885</td>\n      <td>15.156250</td>\n      <td>...</td>\n      <td>6.337500</td>\n      <td>45.016667</td>\n      <td>10.062500</td>\n      <td>10.512083</td>\n      <td>1</td>\n      <td>2.598573e+06</td>\n      <td>2.747811e+07</td>\n      <td>2.431197e+07</td>\n      <td>1758345</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2022-05-23</td>\n      <td>587.400</td>\n      <td>0</td>\n      <td>3294</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1000560</td>\n      <td>14.451667</td>\n      <td>...</td>\n      <td>5.845833</td>\n      <td>45.633333</td>\n      <td>9.937500</td>\n      <td>11.813750</td>\n      <td>1</td>\n      <td>3.329049e+06</td>\n      <td>3.016544e+07</td>\n      <td>2.860469e+07</td>\n      <td>1975185</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2022-05-24</td>\n      <td>515.964</td>\n      <td>0</td>\n      <td>2633</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>921300</td>\n      <td>13.775000</td>\n      <td>...</td>\n      <td>6.166667</td>\n      <td>45.575000</td>\n      <td>9.408333</td>\n      <td>10.788750</td>\n      <td>1</td>\n      <td>3.129108e+06</td>\n      <td>2.535273e+07</td>\n      <td>2.322635e+07</td>\n      <td>1816260</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2022-05-25</td>\n      <td>485.346</td>\n      <td>0</td>\n      <td>2694</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>867765</td>\n      <td>15.344167</td>\n      <td>...</td>\n      <td>6.295833</td>\n      <td>44.412500</td>\n      <td>8.583333</td>\n      <td>10.172083</td>\n      <td>1</td>\n      <td>2.480569e+06</td>\n      <td>2.632076e+07</td>\n      <td>2.366318e+07</td>\n      <td>1721970</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2022-05-26</td>\n      <td>503.502</td>\n      <td>0</td>\n      <td>2619</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>902100</td>\n      <td>14.439167</td>\n      <td>...</td>\n      <td>6.237500</td>\n      <td>44.458333</td>\n      <td>8.741667</td>\n      <td>10.432917</td>\n      <td>1</td>\n      <td>2.614804e+06</td>\n      <td>2.661596e+07</td>\n      <td>2.546844e+07</td>\n      <td>1776525</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2022-05-27</td>\n      <td>470.340</td>\n      <td>0</td>\n      <td>2510</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>865320</td>\n      <td>14.760000</td>\n      <td>...</td>\n      <td>6.329167</td>\n      <td>44.741667</td>\n      <td>8.937500</td>\n      <td>9.993750</td>\n      <td>1</td>\n      <td>2.490713e+06</td>\n      <td>2.451132e+07</td>\n      <td>2.202474e+07</td>\n      <td>1701420</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2022-05-28</td>\n      <td>508.644</td>\n      <td>0</td>\n      <td>2753</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>925965</td>\n      <td>15.012917</td>\n      <td>...</td>\n      <td>6.183333</td>\n      <td>45.587500</td>\n      <td>9.491667</td>\n      <td>10.801250</td>\n      <td>1</td>\n      <td>2.751636e+06</td>\n      <td>2.783192e+07</td>\n      <td>2.689073e+07</td>\n      <td>1821480</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2022-05-29</td>\n      <td>460.536</td>\n      <td>0</td>\n      <td>1163</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>861255</td>\n      <td>14.035000</td>\n      <td>...</td>\n      <td>6.425000</td>\n      <td>45.545833</td>\n      <td>9.350000</td>\n      <td>10.090000</td>\n      <td>1</td>\n      <td>2.485026e+06</td>\n      <td>2.475814e+07</td>\n      <td>2.233955e+07</td>\n      <td>1699200</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-05-30</td>\n      <td>8.610</td>\n      <td>0</td>\n      <td>0</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>71640</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>6.162500</td>\n      <td>45.175000</td>\n      <td>9.208333</td>\n      <td>11.002083</td>\n      <td>1</td>\n      <td>1.296293e+06</td>\n      <td>1.442430e+07</td>\n      <td>1.434195e+07</td>\n      <td>986670</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-05-31</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>53550</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>5.570833</td>\n      <td>46.100000</td>\n      <td>9.641667</td>\n      <td>12.008333</td>\n      <td>1</td>\n      <td>1.554891e+06</td>\n      <td>1.758048e+07</td>\n      <td>1.593381e+07</td>\n      <td>1045770</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>31 rows × 31 columns</p>\n</div>"
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily['c_smoke'] = jtzh_daily['机组1_流量 （m3/h）'] * jtzh_daily['机组1_烟尘浓度(mg/m3)'] + jtzh_daily['机组2_流量 （m3/h）'] * jtzh_daily['机组2_烟尘浓度(mg/m3)']\n",
+    "jtzh_daily['c_NO2'] = jtzh_daily['机组1_流量 （m3/h）'] * jtzh_daily['机组1_NOx浓度(mg/m3)'] + jtzh_daily['机组2_流量 （m3/h）'] * jtzh_daily['机组2_NOx浓度(mg/m3)']\n",
+    "jtzh_daily['c_SO2'] = jtzh_daily['机组1_流量 （m3/h）'] * jtzh_daily['机组1_SO2浓度(mg/m3)'] + jtzh_daily['机组2_流量 （m3/h）'] * jtzh_daily['机组2_SO2浓度(mg/m3)']\n",
+    "jtzh_daily['flow'] = jtzh_daily['机组1_流量 （m3/h）'] + jtzh_daily['机组2_流量 （m3/h）']\n",
+    "jtzh_daily['num_workers'] = jtzh_daily['机组1_状态'] + jtzh_daily['机组2_状态']\n",
+    "jtzh_daily"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "          days  发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n0   2022-05-01      444.630          0        1889        0.000          0   \n1   2022-05-02      516.594          0        2622        0.000          0   \n2   2022-05-03      410.316          0        2233        0.000          0   \n3   2022-05-04      421.908          0        2203        0.000          0   \n4   2022-05-05      486.318          0        2524        0.000          0   \n5   2022-05-06      457.542          0        2343        0.000          0   \n6   2022-05-07      451.140          0        2278        0.000          0   \n7   2022-05-08      484.986          0        1120      218.196          0   \n8   2022-05-09        0.000          0           0      444.756          0   \n9   2022-05-10        0.000          0           0      552.114          0   \n10  2022-05-11        0.000          0           0      481.542          0   \n11  2022-05-12        0.000          0           0      439.788          0   \n12  2022-05-13        0.000          0           0      495.702          0   \n13  2022-05-14        0.000          0         121      486.624          0   \n14  2022-05-15      159.936          0        2251      460.524          0   \n15  2022-05-16      516.192          0        2543      505.578          0   \n16  2022-05-17      432.300          0        2432      432.450          0   \n17  2022-05-18      508.680          0        2810      509.586          0   \n18  2022-05-19      516.066          0        2972      514.404          0   \n19  2022-05-20      517.356          0        2623      514.434          0   \n20  2022-05-21      521.454          0        2759      520.626          0   \n21  2022-05-22      504.798          0        2545      500.040          0   \n22  2022-05-23      587.400          0        3294      584.886          0   \n23  2022-05-24      515.964          0        2633      514.488          0   \n24  2022-05-25      485.346          0        2694      486.474          0   \n25  2022-05-26      503.502          0        2619      501.366          0   \n26  2022-05-27      470.340          0        2510      467.106          0   \n27  2022-05-28      508.644          0        2753      504.900          0   \n28  2022-05-29      460.536          0        1163      462.822          0   \n29  2022-05-30        8.610          0           0      528.960          0   \n30  2022-05-31        0.000          0           0      672.180          0   \n\n    燃料消耗量_2（吨）          企业名称  机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  ...  \\\n0            0  建投遵化热电有限责任公司         820965         12.952083  ...   \n1            0  建投遵化热电有限责任公司         907380         14.641667  ...   \n2            0  建投遵化热电有限责任公司         771360         14.414167  ...   \n3            0  建投遵化热电有限责任公司         780390         14.922500  ...   \n4            0  建投遵化热电有限责任公司         870075         14.102917  ...   \n5            0  建投遵化热电有限责任公司         816300         14.321667  ...   \n6          426  建投遵化热电有限责任公司         804405         16.310833  ...   \n7         1873  建投遵化热电有限责任公司         845610         18.585417  ...   \n8         2350  建投遵化热电有限责任公司          26370          0.000000  ...   \n9         2636  建投遵化热电有限责任公司         269970         -0.000000  ...   \n10        2432  建投遵化热电有限责任公司         163470         -0.000000  ...   \n11        2099  建投遵化热电有限责任公司          27720         -0.000000  ...   \n12        2340  建投遵化热电有限责任公司          50760         -0.000000  ...   \n13        2737  建投遵化热电有限责任公司          48540         -0.000000  ...   \n14        2461  建投遵化热电有限责任公司         602865          0.000000  ...   \n15        2615  建投遵化热电有限责任公司         912705         14.561250  ...   \n16        2593  建投遵化热电有限责任公司         816165         13.918333  ...   \n17        2871  建投遵化热电有限责任公司         892620         14.547083  ...   \n18        2637  建投遵化热电有限责任公司         904860         15.437083  ...   \n19        2682  建投遵化热电有限责任公司         906690         13.552917  ...   \n20        2581  建投遵化热电有限责任公司         931575         16.459583  ...   \n21        2632  建投遵化热电有限责任公司         891885         15.156250  ...   \n22        3187  建投遵化热电有限责任公司        1000560         14.451667  ...   \n23        2719  建投遵化热电有限责任公司         921300         13.775000  ...   \n24        2599  建投遵化热电有限责任公司         867765         15.344167  ...   \n25        2794  建投遵化热电有限责任公司         902100         14.439167  ...   \n26        2401  建投遵化热电有限责任公司         865320         14.760000  ...   \n27        2611  建投遵化热电有限责任公司         925965         15.012917  ...   \n28        2846  建投遵化热电有限责任公司         861255         14.035000  ...   \n29        2981  建投遵化热电有限责任公司          71640          0.000000  ...   \n30        3560  建投遵化热电有限责任公司          53550         -0.000000  ...   \n\n    机组2_含氧量（%）  机组2_温度（℃）  机组2_烟气湿度（%）  机组2_烟气流速（m/s）  机组2_状态       c_smoke  \\\n0    20.512500  13.150000     0.000000       0.630417       0  1.467475e+06   \n1    20.416667  15.525000     0.000000       0.704583       0  1.558803e+06   \n2    19.479167  22.129167     0.200000       0.722917       0  1.427659e+06   \n3    20.095833  26.258333     0.016667       0.757500       0  1.499975e+06   \n4    20.150000  23.062500     0.212500       0.750000       0  1.724199e+06   \n5    20.308333  15.370833     0.000000       0.590417       0  1.411859e+06   \n6    19.883333  17.375000     0.104167       1.297083       0  1.478429e+06   \n7    10.775000  35.941667     6.804167       7.757917       1  2.396737e+06   \n8     7.158333  44.408333    11.366667       9.436250       1  7.610114e+05   \n9     6.433333  44.408333    11.441667      10.987083       1  1.208959e+06   \n10    6.629167  43.937500    10.600000       9.805833       1  1.065258e+06   \n11    6.604167  43.604167    10.866667       9.228333       1  9.060769e+05   \n12    6.254167  43.504167    10.720833      10.015833       1  1.045388e+06   \n13    6.375000  44.533333    11.595833      10.068750       1  1.115339e+06   \n14    6.437500  44.541667    11.550000       9.954583       1  1.013003e+06   \n15    6.450000  45.491667    12.154167      10.716250       1  2.361479e+06   \n16    6.983333  46.116667    12.208333       9.870833       1  2.255301e+06   \n17    6.391667  44.933333    11.258333      10.660833       1  2.653283e+06   \n18    6.395833  44.466667    11.366667      10.697083       1  2.568589e+06   \n19    6.225000  45.175000    11.695833      10.653333       1  2.593866e+06   \n20    6.458333  45.204167     9.837500      10.888750       1  2.917082e+06   \n21    6.337500  45.016667    10.062500      10.512083       1  2.598573e+06   \n22    5.845833  45.633333     9.937500      11.813750       1  3.329049e+06   \n23    6.166667  45.575000     9.408333      10.788750       1  3.129108e+06   \n24    6.295833  44.412500     8.583333      10.172083       1  2.480569e+06   \n25    6.237500  44.458333     8.741667      10.432917       1  2.614804e+06   \n26    6.329167  44.741667     8.937500       9.993750       1  2.490713e+06   \n27    6.183333  45.587500     9.491667      10.801250       1  2.751636e+06   \n28    6.425000  45.545833     9.350000      10.090000       1  2.485026e+06   \n29    6.162500  45.175000     9.208333      11.002083       1  1.296293e+06   \n30    5.570833  46.100000     9.641667      12.008333       1  1.554891e+06   \n\n           c_NO2         c_SO2     flow  num_workers  \n0   1.063321e+07  1.055453e+07   885255            1  \n1   1.328556e+07  1.074905e+07   978615            1  \n2   1.111851e+07  9.591219e+06   842730            1  \n3   1.164537e+07  1.007516e+07   854175            1  \n4   1.227060e+07  1.193453e+07   943680            1  \n5   1.169078e+07  1.180268e+07   875910            1  \n6   1.312052e+07  1.068216e+07   932910            1  \n7   1.072698e+08  1.611399e+07  1522095            2  \n8   1.081296e+07  1.094166e+07   794745            1  \n9   1.306011e+07  1.314343e+07  1162740            1  \n10  1.209778e+07  1.155961e+07   969720            1  \n11  1.188950e+07  1.051744e+07   785415            1  \n12  1.160185e+07  1.131331e+07   874170            1  \n13  1.296352e+07  1.131637e+07   865140            1  \n14  1.141903e+07  1.151946e+07  1411650            1  \n15  2.686400e+07  2.542802e+07  1774470            2  \n16  2.210454e+07  2.162856e+07  1608390            2  \n17  2.557269e+07  2.404839e+07  1759515            2  \n18  2.660304e+07  2.629089e+07  1776315            2  \n19  2.415307e+07  2.547191e+07  1768695            2  \n20  2.911351e+07  2.318604e+07  1829745            2  \n21  2.747811e+07  2.431197e+07  1758345            2  \n22  3.016544e+07  2.860469e+07  1975185            2  \n23  2.535273e+07  2.322635e+07  1816260            2  \n24  2.632076e+07  2.366318e+07  1721970            2  \n25  2.661596e+07  2.546844e+07  1776525            2  \n26  2.451132e+07  2.202474e+07  1701420            2  \n27  2.783192e+07  2.689073e+07  1821480            2  \n28  2.475814e+07  2.233955e+07  1699200            2  \n29  1.442430e+07  1.434195e+07   986670            1  \n30  1.758048e+07  1.593381e+07  1045770            1  \n\n[31 rows x 31 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>...</th>\n      <th>机组2_含氧量（%）</th>\n      <th>机组2_温度（℃）</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>num_workers</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-05-01</td>\n      <td>444.630</td>\n      <td>0</td>\n      <td>1889</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>820965</td>\n      <td>12.952083</td>\n      <td>...</td>\n      <td>20.512500</td>\n      <td>13.150000</td>\n      <td>0.000000</td>\n      <td>0.630417</td>\n      <td>0</td>\n      <td>1.467475e+06</td>\n      <td>1.063321e+07</td>\n      <td>1.055453e+07</td>\n      <td>885255</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-05-02</td>\n      <td>516.594</td>\n      <td>0</td>\n      <td>2622</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>907380</td>\n      <td>14.641667</td>\n      <td>...</td>\n      <td>20.416667</td>\n      <td>15.525000</td>\n      <td>0.000000</td>\n      <td>0.704583</td>\n      <td>0</td>\n      <td>1.558803e+06</td>\n      <td>1.328556e+07</td>\n      <td>1.074905e+07</td>\n      <td>978615</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-05-03</td>\n      <td>410.316</td>\n      <td>0</td>\n      <td>2233</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>771360</td>\n      <td>14.414167</td>\n      <td>...</td>\n      <td>19.479167</td>\n      <td>22.129167</td>\n      <td>0.200000</td>\n      <td>0.722917</td>\n      <td>0</td>\n      <td>1.427659e+06</td>\n      <td>1.111851e+07</td>\n      <td>9.591219e+06</td>\n      <td>842730</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-05-04</td>\n      <td>421.908</td>\n      <td>0</td>\n      <td>2203</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>780390</td>\n      <td>14.922500</td>\n      <td>...</td>\n      <td>20.095833</td>\n      <td>26.258333</td>\n      <td>0.016667</td>\n      <td>0.757500</td>\n      <td>0</td>\n      <td>1.499975e+06</td>\n      <td>1.164537e+07</td>\n      <td>1.007516e+07</td>\n      <td>854175</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-05-05</td>\n      <td>486.318</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>870075</td>\n      <td>14.102917</td>\n      <td>...</td>\n      <td>20.150000</td>\n      <td>23.062500</td>\n      <td>0.212500</td>\n      <td>0.750000</td>\n      <td>0</td>\n      <td>1.724199e+06</td>\n      <td>1.227060e+07</td>\n      <td>1.193453e+07</td>\n      <td>943680</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2022-05-06</td>\n      <td>457.542</td>\n      <td>0</td>\n      <td>2343</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816300</td>\n      <td>14.321667</td>\n      <td>...</td>\n      <td>20.308333</td>\n      <td>15.370833</td>\n      <td>0.000000</td>\n      <td>0.590417</td>\n      <td>0</td>\n      <td>1.411859e+06</td>\n      <td>1.169078e+07</td>\n      <td>1.180268e+07</td>\n      <td>875910</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2022-05-07</td>\n      <td>451.140</td>\n      <td>0</td>\n      <td>2278</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>804405</td>\n      <td>16.310833</td>\n      <td>...</td>\n      <td>19.883333</td>\n      <td>17.375000</td>\n      <td>0.104167</td>\n      <td>1.297083</td>\n      <td>0</td>\n      <td>1.478429e+06</td>\n      <td>1.312052e+07</td>\n      <td>1.068216e+07</td>\n      <td>932910</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2022-05-08</td>\n      <td>484.986</td>\n      <td>0</td>\n      <td>1120</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>845610</td>\n      <td>18.585417</td>\n      <td>...</td>\n      <td>10.775000</td>\n      <td>35.941667</td>\n      <td>6.804167</td>\n      <td>7.757917</td>\n      <td>1</td>\n      <td>2.396737e+06</td>\n      <td>1.072698e+08</td>\n      <td>1.611399e+07</td>\n      <td>1522095</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2022-05-09</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>26370</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>7.158333</td>\n      <td>44.408333</td>\n      <td>11.366667</td>\n      <td>9.436250</td>\n      <td>1</td>\n      <td>7.610114e+05</td>\n      <td>1.081296e+07</td>\n      <td>1.094166e+07</td>\n      <td>794745</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2022-05-10</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>269970</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.433333</td>\n      <td>44.408333</td>\n      <td>11.441667</td>\n      <td>10.987083</td>\n      <td>1</td>\n      <td>1.208959e+06</td>\n      <td>1.306011e+07</td>\n      <td>1.314343e+07</td>\n      <td>1162740</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2022-05-11</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>163470</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.629167</td>\n      <td>43.937500</td>\n      <td>10.600000</td>\n      <td>9.805833</td>\n      <td>1</td>\n      <td>1.065258e+06</td>\n      <td>1.209778e+07</td>\n      <td>1.155961e+07</td>\n      <td>969720</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2022-05-12</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>27720</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.604167</td>\n      <td>43.604167</td>\n      <td>10.866667</td>\n      <td>9.228333</td>\n      <td>1</td>\n      <td>9.060769e+05</td>\n      <td>1.188950e+07</td>\n      <td>1.051744e+07</td>\n      <td>785415</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2022-05-13</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>50760</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.254167</td>\n      <td>43.504167</td>\n      <td>10.720833</td>\n      <td>10.015833</td>\n      <td>1</td>\n      <td>1.045388e+06</td>\n      <td>1.160185e+07</td>\n      <td>1.131331e+07</td>\n      <td>874170</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2022-05-14</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>121</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>48540</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>6.375000</td>\n      <td>44.533333</td>\n      <td>11.595833</td>\n      <td>10.068750</td>\n      <td>1</td>\n      <td>1.115339e+06</td>\n      <td>1.296352e+07</td>\n      <td>1.131637e+07</td>\n      <td>865140</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2022-05-15</td>\n      <td>159.936</td>\n      <td>0</td>\n      <td>2251</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>602865</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>6.437500</td>\n      <td>44.541667</td>\n      <td>11.550000</td>\n      <td>9.954583</td>\n      <td>1</td>\n      <td>1.013003e+06</td>\n      <td>1.141903e+07</td>\n      <td>1.151946e+07</td>\n      <td>1411650</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2022-05-16</td>\n      <td>516.192</td>\n      <td>0</td>\n      <td>2543</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>912705</td>\n      <td>14.561250</td>\n      <td>...</td>\n      <td>6.450000</td>\n      <td>45.491667</td>\n      <td>12.154167</td>\n      <td>10.716250</td>\n      <td>1</td>\n      <td>2.361479e+06</td>\n      <td>2.686400e+07</td>\n      <td>2.542802e+07</td>\n      <td>1774470</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2022-05-17</td>\n      <td>432.300</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816165</td>\n      <td>13.918333</td>\n      <td>...</td>\n      <td>6.983333</td>\n      <td>46.116667</td>\n      <td>12.208333</td>\n      <td>9.870833</td>\n      <td>1</td>\n      <td>2.255301e+06</td>\n      <td>2.210454e+07</td>\n      <td>2.162856e+07</td>\n      <td>1608390</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2022-05-18</td>\n      <td>508.680</td>\n      <td>0</td>\n      <td>2810</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>892620</td>\n      <td>14.547083</td>\n      <td>...</td>\n      <td>6.391667</td>\n      <td>44.933333</td>\n      <td>11.258333</td>\n      <td>10.660833</td>\n      <td>1</td>\n      <td>2.653283e+06</td>\n      <td>2.557269e+07</td>\n      <td>2.404839e+07</td>\n      <td>1759515</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2022-05-19</td>\n      <td>516.066</td>\n      <td>0</td>\n      <td>2972</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>904860</td>\n      <td>15.437083</td>\n      <td>...</td>\n      <td>6.395833</td>\n      <td>44.466667</td>\n      <td>11.366667</td>\n      <td>10.697083</td>\n      <td>1</td>\n      <td>2.568589e+06</td>\n      <td>2.660304e+07</td>\n      <td>2.629089e+07</td>\n      <td>1776315</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2022-05-20</td>\n      <td>517.356</td>\n      <td>0</td>\n      <td>2623</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>906690</td>\n      <td>13.552917</td>\n      <td>...</td>\n      <td>6.225000</td>\n      <td>45.175000</td>\n      <td>11.695833</td>\n      <td>10.653333</td>\n      <td>1</td>\n      <td>2.593866e+06</td>\n      <td>2.415307e+07</td>\n      <td>2.547191e+07</td>\n      <td>1768695</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2022-05-21</td>\n      <td>521.454</td>\n      <td>0</td>\n      <td>2759</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>931575</td>\n      <td>16.459583</td>\n      <td>...</td>\n      <td>6.458333</td>\n      <td>45.204167</td>\n      <td>9.837500</td>\n      <td>10.888750</td>\n      <td>1</td>\n      <td>2.917082e+06</td>\n      <td>2.911351e+07</td>\n      <td>2.318604e+07</td>\n      <td>1829745</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2022-05-22</td>\n      <td>504.798</td>\n      <td>0</td>\n      <td>2545</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>891885</td>\n      <td>15.156250</td>\n      <td>...</td>\n      <td>6.337500</td>\n      <td>45.016667</td>\n      <td>10.062500</td>\n      <td>10.512083</td>\n      <td>1</td>\n      <td>2.598573e+06</td>\n      <td>2.747811e+07</td>\n      <td>2.431197e+07</td>\n      <td>1758345</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2022-05-23</td>\n      <td>587.400</td>\n      <td>0</td>\n      <td>3294</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1000560</td>\n      <td>14.451667</td>\n      <td>...</td>\n      <td>5.845833</td>\n      <td>45.633333</td>\n      <td>9.937500</td>\n      <td>11.813750</td>\n      <td>1</td>\n      <td>3.329049e+06</td>\n      <td>3.016544e+07</td>\n      <td>2.860469e+07</td>\n      <td>1975185</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2022-05-24</td>\n      <td>515.964</td>\n      <td>0</td>\n      <td>2633</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>921300</td>\n      <td>13.775000</td>\n      <td>...</td>\n      <td>6.166667</td>\n      <td>45.575000</td>\n      <td>9.408333</td>\n      <td>10.788750</td>\n      <td>1</td>\n      <td>3.129108e+06</td>\n      <td>2.535273e+07</td>\n      <td>2.322635e+07</td>\n      <td>1816260</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2022-05-25</td>\n      <td>485.346</td>\n      <td>0</td>\n      <td>2694</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>867765</td>\n      <td>15.344167</td>\n      <td>...</td>\n      <td>6.295833</td>\n      <td>44.412500</td>\n      <td>8.583333</td>\n      <td>10.172083</td>\n      <td>1</td>\n      <td>2.480569e+06</td>\n      <td>2.632076e+07</td>\n      <td>2.366318e+07</td>\n      <td>1721970</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2022-05-26</td>\n      <td>503.502</td>\n      <td>0</td>\n      <td>2619</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>902100</td>\n      <td>14.439167</td>\n      <td>...</td>\n      <td>6.237500</td>\n      <td>44.458333</td>\n      <td>8.741667</td>\n      <td>10.432917</td>\n      <td>1</td>\n      <td>2.614804e+06</td>\n      <td>2.661596e+07</td>\n      <td>2.546844e+07</td>\n      <td>1776525</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2022-05-27</td>\n      <td>470.340</td>\n      <td>0</td>\n      <td>2510</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>865320</td>\n      <td>14.760000</td>\n      <td>...</td>\n      <td>6.329167</td>\n      <td>44.741667</td>\n      <td>8.937500</td>\n      <td>9.993750</td>\n      <td>1</td>\n      <td>2.490713e+06</td>\n      <td>2.451132e+07</td>\n      <td>2.202474e+07</td>\n      <td>1701420</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2022-05-28</td>\n      <td>508.644</td>\n      <td>0</td>\n      <td>2753</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>925965</td>\n      <td>15.012917</td>\n      <td>...</td>\n      <td>6.183333</td>\n      <td>45.587500</td>\n      <td>9.491667</td>\n      <td>10.801250</td>\n      <td>1</td>\n      <td>2.751636e+06</td>\n      <td>2.783192e+07</td>\n      <td>2.689073e+07</td>\n      <td>1821480</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2022-05-29</td>\n      <td>460.536</td>\n      <td>0</td>\n      <td>1163</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>861255</td>\n      <td>14.035000</td>\n      <td>...</td>\n      <td>6.425000</td>\n      <td>45.545833</td>\n      <td>9.350000</td>\n      <td>10.090000</td>\n      <td>1</td>\n      <td>2.485026e+06</td>\n      <td>2.475814e+07</td>\n      <td>2.233955e+07</td>\n      <td>1699200</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-05-30</td>\n      <td>8.610</td>\n      <td>0</td>\n      <td>0</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>71640</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>6.162500</td>\n      <td>45.175000</td>\n      <td>9.208333</td>\n      <td>11.002083</td>\n      <td>1</td>\n      <td>1.296293e+06</td>\n      <td>1.442430e+07</td>\n      <td>1.434195e+07</td>\n      <td>986670</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-05-31</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>53550</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>5.570833</td>\n      <td>46.100000</td>\n      <td>9.641667</td>\n      <td>12.008333</td>\n      <td>1</td>\n      <td>1.554891e+06</td>\n      <td>1.758048e+07</td>\n      <td>1.593381e+07</td>\n      <td>1045770</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>31 rows × 31 columns</p>\n</div>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "outputs": [],
+   "source": [
+    "def cal_mixture(x):\n",
+    "    s1, s2, t1, t2 = x\n",
+    "    if s1 ^ s2 == 1:\n",
+    "        return t1 if s1 == 1 else t2\n",
+    "    else:\n",
+    "        return (t1 + t2) / 2"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "          days  发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n0   2022-05-01      444.630          0        1889        0.000          0   \n1   2022-05-02      516.594          0        2622        0.000          0   \n2   2022-05-03      410.316          0        2233        0.000          0   \n3   2022-05-04      421.908          0        2203        0.000          0   \n4   2022-05-05      486.318          0        2524        0.000          0   \n5   2022-05-06      457.542          0        2343        0.000          0   \n6   2022-05-07      451.140          0        2278        0.000          0   \n7   2022-05-08      484.986          0        1120      218.196          0   \n8   2022-05-09        0.000          0           0      444.756          0   \n9   2022-05-10        0.000          0           0      552.114          0   \n10  2022-05-11        0.000          0           0      481.542          0   \n11  2022-05-12        0.000          0           0      439.788          0   \n12  2022-05-13        0.000          0           0      495.702          0   \n13  2022-05-14        0.000          0         121      486.624          0   \n14  2022-05-15      159.936          0        2251      460.524          0   \n15  2022-05-16      516.192          0        2543      505.578          0   \n16  2022-05-17      432.300          0        2432      432.450          0   \n17  2022-05-18      508.680          0        2810      509.586          0   \n18  2022-05-19      516.066          0        2972      514.404          0   \n19  2022-05-20      517.356          0        2623      514.434          0   \n20  2022-05-21      521.454          0        2759      520.626          0   \n21  2022-05-22      504.798          0        2545      500.040          0   \n22  2022-05-23      587.400          0        3294      584.886          0   \n23  2022-05-24      515.964          0        2633      514.488          0   \n24  2022-05-25      485.346          0        2694      486.474          0   \n25  2022-05-26      503.502          0        2619      501.366          0   \n26  2022-05-27      470.340          0        2510      467.106          0   \n27  2022-05-28      508.644          0        2753      504.900          0   \n28  2022-05-29      460.536          0        1163      462.822          0   \n29  2022-05-30        8.610          0           0      528.960          0   \n30  2022-05-31        0.000          0           0      672.180          0   \n\n    燃料消耗量_2（吨）          企业名称  机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  ...  \\\n0            0  建投遵化热电有限责任公司         820965         12.952083  ...   \n1            0  建投遵化热电有限责任公司         907380         14.641667  ...   \n2            0  建投遵化热电有限责任公司         771360         14.414167  ...   \n3            0  建投遵化热电有限责任公司         780390         14.922500  ...   \n4            0  建投遵化热电有限责任公司         870075         14.102917  ...   \n5            0  建投遵化热电有限责任公司         816300         14.321667  ...   \n6          426  建投遵化热电有限责任公司         804405         16.310833  ...   \n7         1873  建投遵化热电有限责任公司         845610         18.585417  ...   \n8         2350  建投遵化热电有限责任公司          26370          0.000000  ...   \n9         2636  建投遵化热电有限责任公司         269970         -0.000000  ...   \n10        2432  建投遵化热电有限责任公司         163470         -0.000000  ...   \n11        2099  建投遵化热电有限责任公司          27720         -0.000000  ...   \n12        2340  建投遵化热电有限责任公司          50760         -0.000000  ...   \n13        2737  建投遵化热电有限责任公司          48540         -0.000000  ...   \n14        2461  建投遵化热电有限责任公司         602865          0.000000  ...   \n15        2615  建投遵化热电有限责任公司         912705         14.561250  ...   \n16        2593  建投遵化热电有限责任公司         816165         13.918333  ...   \n17        2871  建投遵化热电有限责任公司         892620         14.547083  ...   \n18        2637  建投遵化热电有限责任公司         904860         15.437083  ...   \n19        2682  建投遵化热电有限责任公司         906690         13.552917  ...   \n20        2581  建投遵化热电有限责任公司         931575         16.459583  ...   \n21        2632  建投遵化热电有限责任公司         891885         15.156250  ...   \n22        3187  建投遵化热电有限责任公司        1000560         14.451667  ...   \n23        2719  建投遵化热电有限责任公司         921300         13.775000  ...   \n24        2599  建投遵化热电有限责任公司         867765         15.344167  ...   \n25        2794  建投遵化热电有限责任公司         902100         14.439167  ...   \n26        2401  建投遵化热电有限责任公司         865320         14.760000  ...   \n27        2611  建投遵化热电有限责任公司         925965         15.012917  ...   \n28        2846  建投遵化热电有限责任公司         861255         14.035000  ...   \n29        2981  建投遵化热电有限责任公司          71640          0.000000  ...   \n30        3560  建投遵化热电有限责任公司          53550         -0.000000  ...   \n\n    机组2_烟气湿度（%）  机组2_烟气流速（m/s）  机组2_状态       c_smoke         c_NO2  \\\n0      0.000000       0.630417       0  1.467475e+06  1.063321e+07   \n1      0.000000       0.704583       0  1.558803e+06  1.328556e+07   \n2      0.200000       0.722917       0  1.427659e+06  1.111851e+07   \n3      0.016667       0.757500       0  1.499975e+06  1.164537e+07   \n4      0.212500       0.750000       0  1.724199e+06  1.227060e+07   \n5      0.000000       0.590417       0  1.411859e+06  1.169078e+07   \n6      0.104167       1.297083       0  1.478429e+06  1.312052e+07   \n7      6.804167       7.757917       1  2.396737e+06  1.072698e+08   \n8     11.366667       9.436250       1  7.610114e+05  1.081296e+07   \n9     11.441667      10.987083       1  1.208959e+06  1.306011e+07   \n10    10.600000       9.805833       1  1.065258e+06  1.209778e+07   \n11    10.866667       9.228333       1  9.060769e+05  1.188950e+07   \n12    10.720833      10.015833       1  1.045388e+06  1.160185e+07   \n13    11.595833      10.068750       1  1.115339e+06  1.296352e+07   \n14    11.550000       9.954583       1  1.013003e+06  1.141903e+07   \n15    12.154167      10.716250       1  2.361479e+06  2.686400e+07   \n16    12.208333       9.870833       1  2.255301e+06  2.210454e+07   \n17    11.258333      10.660833       1  2.653283e+06  2.557269e+07   \n18    11.366667      10.697083       1  2.568589e+06  2.660304e+07   \n19    11.695833      10.653333       1  2.593866e+06  2.415307e+07   \n20     9.837500      10.888750       1  2.917082e+06  2.911351e+07   \n21    10.062500      10.512083       1  2.598573e+06  2.747811e+07   \n22     9.937500      11.813750       1  3.329049e+06  3.016544e+07   \n23     9.408333      10.788750       1  3.129108e+06  2.535273e+07   \n24     8.583333      10.172083       1  2.480569e+06  2.632076e+07   \n25     8.741667      10.432917       1  2.614804e+06  2.661596e+07   \n26     8.937500       9.993750       1  2.490713e+06  2.451132e+07   \n27     9.491667      10.801250       1  2.751636e+06  2.783192e+07   \n28     9.350000      10.090000       1  2.485026e+06  2.475814e+07   \n29     9.208333      11.002083       1  1.296293e+06  1.442430e+07   \n30     9.641667      12.008333       1  1.554891e+06  1.758048e+07   \n\n           c_SO2     flow  num_workers  temperature      r_O2  \n0   1.055453e+07   885255            1    52.320833  7.795833  \n1   1.074905e+07   978615            1    53.145833  7.295833  \n2   9.591219e+06   842730            1    51.841667  7.650000  \n3   1.007516e+07   854175            1    51.808333  7.462500  \n4   1.193453e+07   943680            1    52.354167  7.195833  \n5   1.180268e+07   875910            1    51.462500  7.433333  \n6   1.068216e+07   932910            1    51.025000  7.333333  \n7   1.611399e+07  1522095            2    43.897917  9.318750  \n8   1.094166e+07   794745            1    44.408333  7.158333  \n9   1.314343e+07  1162740            1    44.408333  6.433333  \n10  1.155961e+07   969720            1    43.937500  6.629167  \n11  1.051744e+07   785415            1    43.604167  6.604167  \n12  1.131331e+07   874170            1    43.504167  6.254167  \n13  1.131637e+07   865140            1    44.533333  6.375000  \n14  1.151946e+07  1411650            1    44.541667  6.437500  \n15  2.542802e+07  1774470            2    49.297917  6.864583  \n16  2.162856e+07  1608390            2    49.941667  7.341667  \n17  2.404839e+07  1759515            2    48.875000  6.766667  \n18  2.629089e+07  1776315            2    48.477083  6.704167  \n19  2.547191e+07  1768695            2    49.191667  6.633333  \n20  2.318604e+07  1829745            2    49.237500  6.850000  \n21  2.431197e+07  1758345            2    48.972917  6.729167  \n22  2.860469e+07  1975185            2    49.581250  6.281250  \n23  2.322635e+07  1816260            2    49.385417  6.679167  \n24  2.366318e+07  1721970            2    48.287500  6.816667  \n25  2.546844e+07  1776525            2    48.272917  6.741667  \n26  2.202474e+07  1701420            2    48.514583  6.843750  \n27  2.689073e+07  1821480            2    49.416667  6.677083  \n28  2.233955e+07  1699200            2    49.425000  6.947917  \n29  1.434195e+07   986670            1    45.175000  6.162500  \n30  1.593381e+07  1045770            1    46.100000  5.570833  \n\n[31 rows x 33 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>...</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n      <th>c_smoke</th>\n      <th>c_NO2</th>\n      <th>c_SO2</th>\n      <th>flow</th>\n      <th>num_workers</th>\n      <th>temperature</th>\n      <th>r_O2</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-05-01</td>\n      <td>444.630</td>\n      <td>0</td>\n      <td>1889</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>820965</td>\n      <td>12.952083</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.630417</td>\n      <td>0</td>\n      <td>1.467475e+06</td>\n      <td>1.063321e+07</td>\n      <td>1.055453e+07</td>\n      <td>885255</td>\n      <td>1</td>\n      <td>52.320833</td>\n      <td>7.795833</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-05-02</td>\n      <td>516.594</td>\n      <td>0</td>\n      <td>2622</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>907380</td>\n      <td>14.641667</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.704583</td>\n      <td>0</td>\n      <td>1.558803e+06</td>\n      <td>1.328556e+07</td>\n      <td>1.074905e+07</td>\n      <td>978615</td>\n      <td>1</td>\n      <td>53.145833</td>\n      <td>7.295833</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-05-03</td>\n      <td>410.316</td>\n      <td>0</td>\n      <td>2233</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>771360</td>\n      <td>14.414167</td>\n      <td>...</td>\n      <td>0.200000</td>\n      <td>0.722917</td>\n      <td>0</td>\n      <td>1.427659e+06</td>\n      <td>1.111851e+07</td>\n      <td>9.591219e+06</td>\n      <td>842730</td>\n      <td>1</td>\n      <td>51.841667</td>\n      <td>7.650000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-05-04</td>\n      <td>421.908</td>\n      <td>0</td>\n      <td>2203</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>780390</td>\n      <td>14.922500</td>\n      <td>...</td>\n      <td>0.016667</td>\n      <td>0.757500</td>\n      <td>0</td>\n      <td>1.499975e+06</td>\n      <td>1.164537e+07</td>\n      <td>1.007516e+07</td>\n      <td>854175</td>\n      <td>1</td>\n      <td>51.808333</td>\n      <td>7.462500</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-05-05</td>\n      <td>486.318</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>870075</td>\n      <td>14.102917</td>\n      <td>...</td>\n      <td>0.212500</td>\n      <td>0.750000</td>\n      <td>0</td>\n      <td>1.724199e+06</td>\n      <td>1.227060e+07</td>\n      <td>1.193453e+07</td>\n      <td>943680</td>\n      <td>1</td>\n      <td>52.354167</td>\n      <td>7.195833</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2022-05-06</td>\n      <td>457.542</td>\n      <td>0</td>\n      <td>2343</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816300</td>\n      <td>14.321667</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.590417</td>\n      <td>0</td>\n      <td>1.411859e+06</td>\n      <td>1.169078e+07</td>\n      <td>1.180268e+07</td>\n      <td>875910</td>\n      <td>1</td>\n      <td>51.462500</td>\n      <td>7.433333</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2022-05-07</td>\n      <td>451.140</td>\n      <td>0</td>\n      <td>2278</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>804405</td>\n      <td>16.310833</td>\n      <td>...</td>\n      <td>0.104167</td>\n      <td>1.297083</td>\n      <td>0</td>\n      <td>1.478429e+06</td>\n      <td>1.312052e+07</td>\n      <td>1.068216e+07</td>\n      <td>932910</td>\n      <td>1</td>\n      <td>51.025000</td>\n      <td>7.333333</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2022-05-08</td>\n      <td>484.986</td>\n      <td>0</td>\n      <td>1120</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>845610</td>\n      <td>18.585417</td>\n      <td>...</td>\n      <td>6.804167</td>\n      <td>7.757917</td>\n      <td>1</td>\n      <td>2.396737e+06</td>\n      <td>1.072698e+08</td>\n      <td>1.611399e+07</td>\n      <td>1522095</td>\n      <td>2</td>\n      <td>43.897917</td>\n      <td>9.318750</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2022-05-09</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>26370</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>11.366667</td>\n      <td>9.436250</td>\n      <td>1</td>\n      <td>7.610114e+05</td>\n      <td>1.081296e+07</td>\n      <td>1.094166e+07</td>\n      <td>794745</td>\n      <td>1</td>\n      <td>44.408333</td>\n      <td>7.158333</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2022-05-10</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>269970</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>11.441667</td>\n      <td>10.987083</td>\n      <td>1</td>\n      <td>1.208959e+06</td>\n      <td>1.306011e+07</td>\n      <td>1.314343e+07</td>\n      <td>1162740</td>\n      <td>1</td>\n      <td>44.408333</td>\n      <td>6.433333</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2022-05-11</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>163470</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>10.600000</td>\n      <td>9.805833</td>\n      <td>1</td>\n      <td>1.065258e+06</td>\n      <td>1.209778e+07</td>\n      <td>1.155961e+07</td>\n      <td>969720</td>\n      <td>1</td>\n      <td>43.937500</td>\n      <td>6.629167</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2022-05-12</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>27720</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>10.866667</td>\n      <td>9.228333</td>\n      <td>1</td>\n      <td>9.060769e+05</td>\n      <td>1.188950e+07</td>\n      <td>1.051744e+07</td>\n      <td>785415</td>\n      <td>1</td>\n      <td>43.604167</td>\n      <td>6.604167</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2022-05-13</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>50760</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>10.720833</td>\n      <td>10.015833</td>\n      <td>1</td>\n      <td>1.045388e+06</td>\n      <td>1.160185e+07</td>\n      <td>1.131331e+07</td>\n      <td>874170</td>\n      <td>1</td>\n      <td>43.504167</td>\n      <td>6.254167</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2022-05-14</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>121</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>48540</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>11.595833</td>\n      <td>10.068750</td>\n      <td>1</td>\n      <td>1.115339e+06</td>\n      <td>1.296352e+07</td>\n      <td>1.131637e+07</td>\n      <td>865140</td>\n      <td>1</td>\n      <td>44.533333</td>\n      <td>6.375000</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2022-05-15</td>\n      <td>159.936</td>\n      <td>0</td>\n      <td>2251</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>602865</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>11.550000</td>\n      <td>9.954583</td>\n      <td>1</td>\n      <td>1.013003e+06</td>\n      <td>1.141903e+07</td>\n      <td>1.151946e+07</td>\n      <td>1411650</td>\n      <td>1</td>\n      <td>44.541667</td>\n      <td>6.437500</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2022-05-16</td>\n      <td>516.192</td>\n      <td>0</td>\n      <td>2543</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>912705</td>\n      <td>14.561250</td>\n      <td>...</td>\n      <td>12.154167</td>\n      <td>10.716250</td>\n      <td>1</td>\n      <td>2.361479e+06</td>\n      <td>2.686400e+07</td>\n      <td>2.542802e+07</td>\n      <td>1774470</td>\n      <td>2</td>\n      <td>49.297917</td>\n      <td>6.864583</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2022-05-17</td>\n      <td>432.300</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816165</td>\n      <td>13.918333</td>\n      <td>...</td>\n      <td>12.208333</td>\n      <td>9.870833</td>\n      <td>1</td>\n      <td>2.255301e+06</td>\n      <td>2.210454e+07</td>\n      <td>2.162856e+07</td>\n      <td>1608390</td>\n      <td>2</td>\n      <td>49.941667</td>\n      <td>7.341667</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2022-05-18</td>\n      <td>508.680</td>\n      <td>0</td>\n      <td>2810</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>892620</td>\n      <td>14.547083</td>\n      <td>...</td>\n      <td>11.258333</td>\n      <td>10.660833</td>\n      <td>1</td>\n      <td>2.653283e+06</td>\n      <td>2.557269e+07</td>\n      <td>2.404839e+07</td>\n      <td>1759515</td>\n      <td>2</td>\n      <td>48.875000</td>\n      <td>6.766667</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2022-05-19</td>\n      <td>516.066</td>\n      <td>0</td>\n      <td>2972</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>904860</td>\n      <td>15.437083</td>\n      <td>...</td>\n      <td>11.366667</td>\n      <td>10.697083</td>\n      <td>1</td>\n      <td>2.568589e+06</td>\n      <td>2.660304e+07</td>\n      <td>2.629089e+07</td>\n      <td>1776315</td>\n      <td>2</td>\n      <td>48.477083</td>\n      <td>6.704167</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2022-05-20</td>\n      <td>517.356</td>\n      <td>0</td>\n      <td>2623</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>906690</td>\n      <td>13.552917</td>\n      <td>...</td>\n      <td>11.695833</td>\n      <td>10.653333</td>\n      <td>1</td>\n      <td>2.593866e+06</td>\n      <td>2.415307e+07</td>\n      <td>2.547191e+07</td>\n      <td>1768695</td>\n      <td>2</td>\n      <td>49.191667</td>\n      <td>6.633333</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2022-05-21</td>\n      <td>521.454</td>\n      <td>0</td>\n      <td>2759</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>931575</td>\n      <td>16.459583</td>\n      <td>...</td>\n      <td>9.837500</td>\n      <td>10.888750</td>\n      <td>1</td>\n      <td>2.917082e+06</td>\n      <td>2.911351e+07</td>\n      <td>2.318604e+07</td>\n      <td>1829745</td>\n      <td>2</td>\n      <td>49.237500</td>\n      <td>6.850000</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2022-05-22</td>\n      <td>504.798</td>\n      <td>0</td>\n      <td>2545</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>891885</td>\n      <td>15.156250</td>\n      <td>...</td>\n      <td>10.062500</td>\n      <td>10.512083</td>\n      <td>1</td>\n      <td>2.598573e+06</td>\n      <td>2.747811e+07</td>\n      <td>2.431197e+07</td>\n      <td>1758345</td>\n      <td>2</td>\n      <td>48.972917</td>\n      <td>6.729167</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2022-05-23</td>\n      <td>587.400</td>\n      <td>0</td>\n      <td>3294</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1000560</td>\n      <td>14.451667</td>\n      <td>...</td>\n      <td>9.937500</td>\n      <td>11.813750</td>\n      <td>1</td>\n      <td>3.329049e+06</td>\n      <td>3.016544e+07</td>\n      <td>2.860469e+07</td>\n      <td>1975185</td>\n      <td>2</td>\n      <td>49.581250</td>\n      <td>6.281250</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2022-05-24</td>\n      <td>515.964</td>\n      <td>0</td>\n      <td>2633</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>921300</td>\n      <td>13.775000</td>\n      <td>...</td>\n      <td>9.408333</td>\n      <td>10.788750</td>\n      <td>1</td>\n      <td>3.129108e+06</td>\n      <td>2.535273e+07</td>\n      <td>2.322635e+07</td>\n      <td>1816260</td>\n      <td>2</td>\n      <td>49.385417</td>\n      <td>6.679167</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2022-05-25</td>\n      <td>485.346</td>\n      <td>0</td>\n      <td>2694</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>867765</td>\n      <td>15.344167</td>\n      <td>...</td>\n      <td>8.583333</td>\n      <td>10.172083</td>\n      <td>1</td>\n      <td>2.480569e+06</td>\n      <td>2.632076e+07</td>\n      <td>2.366318e+07</td>\n      <td>1721970</td>\n      <td>2</td>\n      <td>48.287500</td>\n      <td>6.816667</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2022-05-26</td>\n      <td>503.502</td>\n      <td>0</td>\n      <td>2619</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>902100</td>\n      <td>14.439167</td>\n      <td>...</td>\n      <td>8.741667</td>\n      <td>10.432917</td>\n      <td>1</td>\n      <td>2.614804e+06</td>\n      <td>2.661596e+07</td>\n      <td>2.546844e+07</td>\n      <td>1776525</td>\n      <td>2</td>\n      <td>48.272917</td>\n      <td>6.741667</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2022-05-27</td>\n      <td>470.340</td>\n      <td>0</td>\n      <td>2510</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>865320</td>\n      <td>14.760000</td>\n      <td>...</td>\n      <td>8.937500</td>\n      <td>9.993750</td>\n      <td>1</td>\n      <td>2.490713e+06</td>\n      <td>2.451132e+07</td>\n      <td>2.202474e+07</td>\n      <td>1701420</td>\n      <td>2</td>\n      <td>48.514583</td>\n      <td>6.843750</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2022-05-28</td>\n      <td>508.644</td>\n      <td>0</td>\n      <td>2753</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>925965</td>\n      <td>15.012917</td>\n      <td>...</td>\n      <td>9.491667</td>\n      <td>10.801250</td>\n      <td>1</td>\n      <td>2.751636e+06</td>\n      <td>2.783192e+07</td>\n      <td>2.689073e+07</td>\n      <td>1821480</td>\n      <td>2</td>\n      <td>49.416667</td>\n      <td>6.677083</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2022-05-29</td>\n      <td>460.536</td>\n      <td>0</td>\n      <td>1163</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>861255</td>\n      <td>14.035000</td>\n      <td>...</td>\n      <td>9.350000</td>\n      <td>10.090000</td>\n      <td>1</td>\n      <td>2.485026e+06</td>\n      <td>2.475814e+07</td>\n      <td>2.233955e+07</td>\n      <td>1699200</td>\n      <td>2</td>\n      <td>49.425000</td>\n      <td>6.947917</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-05-30</td>\n      <td>8.610</td>\n      <td>0</td>\n      <td>0</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>71640</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>9.208333</td>\n      <td>11.002083</td>\n      <td>1</td>\n      <td>1.296293e+06</td>\n      <td>1.442430e+07</td>\n      <td>1.434195e+07</td>\n      <td>986670</td>\n      <td>1</td>\n      <td>45.175000</td>\n      <td>6.162500</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-05-31</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>53550</td>\n      <td>-0.000000</td>\n      <td>...</td>\n      <td>9.641667</td>\n      <td>12.008333</td>\n      <td>1</td>\n      <td>1.554891e+06</td>\n      <td>1.758048e+07</td>\n      <td>1.593381e+07</td>\n      <td>1045770</td>\n      <td>1</td>\n      <td>46.100000</td>\n      <td>5.570833</td>\n    </tr>\n  </tbody>\n</table>\n<p>31 rows × 33 columns</p>\n</div>"
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily['temperature'] = jtzh_daily.apply(lambda x: cal_mixture(x[['机组1_状态', '机组2_状态', '机组1_温度（℃）', '机组2_温度（℃）']]), axis=1)\n",
+    "jtzh_daily['r_O2'] = jtzh_daily.apply(lambda x: cal_mixture(x[['机组1_状态', '机组2_状态', '机组1_含氧量（%）', '机组2_含氧量（%）']]), axis=1)\n",
+    "jtzh_daily"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [],
+   "source": [
+    "jtzh_daily['发电量（万千瓦时）'] = jtzh_daily['发电量_1（万千瓦时）'] + jtzh_daily['发电量_2（万千瓦时）']\n",
+    "jtzh_daily['供热量（吉焦）'] = jtzh_daily['供热量_1（吉焦）'] + jtzh_daily['供热量_2（吉焦）']\n",
+    "jtzh_daily['燃料消耗量（吨）'] = jtzh_daily['燃料消耗量_1（吨）'] = jtzh_daily['燃料消耗量_2（吨）']\n",
+    "jtzh_daily['num_workers'] = jtzh_daily['机组1_状态'] + jtzh_daily['机组2_状态']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "outputs": [],
+   "source": [
+    "jtzh_daily_final = jtzh_daily[['days', '企业名称', 'r_O2', 'temperature', '发电量（万千瓦时）', '供热量（吉焦）', 'c_smoke', 'c_NO2', 'c_SO2', 'flow', 'num_workers',\n",
+    "     '燃料消耗量（吨）']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "outputs": [],
+   "source": [
+    "all_daily_data = pd.concat([zjxz_daily_final, wxxs_daily_final, hddj_daily_final, jtzh_daily_final])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "outputs": [],
+   "source": [
+    "all_unit_daily_data = pd.concat([zjxz_daily, wxxs_daily, hddj_daily, jtzh_daily])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "outputs": [],
+   "source": [
+    "unit_features = pd.read_excel('data/机组特征表.xlsx', header=None).T"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "               企业名称                地址   省份            经度            纬度  \\\n1        浙江秀舟热电有限公司         嘉兴市南湖区凤桥镇  浙江省  120°51′5.54″  30°39′14.76″   \n2      武乡西山发电有限责任公司      山西省武乡县丰州镇下城村  山西省    112°51′11″      36°50′0″   \n3  国电电力邯郸东郊热电有限责任公司  河北肥乡经济开发区光明西路11号  河北省     114°39'0\"      36°34'0\"   \n4      建投遵化热电有限责任公司    河北省遵化市新店子镇程庄子村  河北省    117°58'40\"      40°4'33\"   \n\n  烟囱高度（m）           脱硝工艺 脱硝剂名称 脱硝设备数量       脱硫工艺  ... 发电机组1_单机容量（MW）  \\\n1      80       SNCR SCR    氨水      3   石灰石-石膏湿法  ...             15   \n2     240            SCR    尿素      2  石灰石--石膏湿法  ...            600   \n3     NaN  采用高效低氮燃烧器＋SCR   NaN    NaN   石灰石-石膏湿法  ...            350   \n4     NaN  采用高效低氮燃烧器＋SCR   NaN    NaN   石灰石-石膏湿法  ...            350   \n\n            发电机组1_投产日期 发电机组1_汽轮机类型 发电机组1_压力参数 发电机组1_冷却方式 发电机组2_单机容量（MW）  \\\n1  2014-07-01 00:00:00         背压式         高压    水冷-闭式循环             15   \n2  2006-10-07 00:00:00         抽凝式        亚临界    空冷-直接空冷            600   \n3  2019-06-08 00:00:00         抽凝式       超超临界    水冷-闭式循环            350   \n4  2019-07-09 00:00:00         抽凝式        超临界    水冷-闭式循环            350   \n\n            发电机组2_投产日期 发电机组2_汽轮机类型 发电机组2_压力参数 发电机组2_冷却方式  \n1  2018-08-01 00:00:00         抽背式         高压    水冷-闭式循环  \n2  2007-01-07 00:00:00         抽凝式        亚临界    空冷-直接空冷  \n3  2019-06-08 00:00:00         抽凝式       超超临界    水冷-闭式循环  \n4  2020-05-02 00:00:00         抽凝式        超临界    水冷-闭式循环  \n\n[4 rows x 33 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>企业名称</th>\n      <th>地址</th>\n      <th>省份</th>\n      <th>经度</th>\n      <th>纬度</th>\n      <th>烟囱高度（m）</th>\n      <th>脱硝工艺</th>\n      <th>脱硝剂名称</th>\n      <th>脱硝设备数量</th>\n      <th>脱硫工艺</th>\n      <th>...</th>\n      <th>发电机组1_单机容量（MW）</th>\n      <th>发电机组1_投产日期</th>\n      <th>发电机组1_汽轮机类型</th>\n      <th>发电机组1_压力参数</th>\n      <th>发电机组1_冷却方式</th>\n      <th>发电机组2_单机容量（MW）</th>\n      <th>发电机组2_投产日期</th>\n      <th>发电机组2_汽轮机类型</th>\n      <th>发电机组2_压力参数</th>\n      <th>发电机组2_冷却方式</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>嘉兴市南湖区凤桥镇</td>\n      <td>浙江省</td>\n      <td>120°51′5.54″</td>\n      <td>30°39′14.76″</td>\n      <td>80</td>\n      <td>SNCR SCR</td>\n      <td>氨水</td>\n      <td>3</td>\n      <td>石灰石-石膏湿法</td>\n      <td>...</td>\n      <td>15</td>\n      <td>2014-07-01 00:00:00</td>\n      <td>背压式</td>\n      <td>高压</td>\n      <td>水冷-闭式循环</td>\n      <td>15</td>\n      <td>2018-08-01 00:00:00</td>\n      <td>抽背式</td>\n      <td>高压</td>\n      <td>水冷-闭式循环</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>武乡西山发电有限责任公司</td>\n      <td>山西省武乡县丰州镇下城村</td>\n      <td>山西省</td>\n      <td>112°51′11″</td>\n      <td>36°50′0″</td>\n      <td>240</td>\n      <td>SCR</td>\n      <td>尿素</td>\n      <td>2</td>\n      <td>石灰石--石膏湿法</td>\n      <td>...</td>\n      <td>600</td>\n      <td>2006-10-07 00:00:00</td>\n      <td>抽凝式</td>\n      <td>亚临界</td>\n      <td>空冷-直接空冷</td>\n      <td>600</td>\n      <td>2007-01-07 00:00:00</td>\n      <td>抽凝式</td>\n      <td>亚临界</td>\n      <td>空冷-直接空冷</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>河北肥乡经济开发区光明西路11号</td>\n      <td>河北省</td>\n      <td>114°39'0\"</td>\n      <td>36°34'0\"</td>\n      <td>NaN</td>\n      <td>采用高效低氮燃烧器＋SCR</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>石灰石-石膏湿法</td>\n      <td>...</td>\n      <td>350</td>\n      <td>2019-06-08 00:00:00</td>\n      <td>抽凝式</td>\n      <td>超超临界</td>\n      <td>水冷-闭式循环</td>\n      <td>350</td>\n      <td>2019-06-08 00:00:00</td>\n      <td>抽凝式</td>\n      <td>超超临界</td>\n      <td>水冷-闭式循环</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>河北省遵化市新店子镇程庄子村</td>\n      <td>河北省</td>\n      <td>117°58'40\"</td>\n      <td>40°4'33\"</td>\n      <td>NaN</td>\n      <td>采用高效低氮燃烧器＋SCR</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>石灰石-石膏湿法</td>\n      <td>...</td>\n      <td>350</td>\n      <td>2019-07-09 00:00:00</td>\n      <td>抽凝式</td>\n      <td>超临界</td>\n      <td>水冷-闭式循环</td>\n      <td>350</td>\n      <td>2020-05-02 00:00:00</td>\n      <td>抽凝式</td>\n      <td>超临界</td>\n      <td>水冷-闭式循环</td>\n    </tr>\n  </tbody>\n</table>\n<p>4 rows × 33 columns</p>\n</div>"
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unit_features = unit_features.rename(columns=unit_features.iloc[0]).drop(unit_features.index[0])\n",
+    "unit_features.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "1    水冷-闭式循环\n2    空冷-直接空冷\n3    水冷-闭式循环\n4    水冷-闭式循环\nName: 发电机组1_冷却方式, dtype: object"
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unit_features['发电机组1_冷却方式']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "outputs": [],
+   "source": [
+    "unit_features_used = unit_features[['企业名称', '生产设备类型', '燃料类型', '低位发热量（GJ/t）']].copy()\n",
+    "unit_features_used['汽轮机类型'] = unit_features['发电机组1_汽轮机类型']\n",
+    "unit_features_used['冷却方式'] = unit_features['发电机组1_冷却方式']\n",
+    "unit_features_used['额定蒸发量'] = unit_features['锅炉1额定蒸发量 t/h'] + unit_features['锅炉2额定蒸发量 t/h']\n",
+    "unit_features_used['压力参数'] = unit_features['发电机组1_压力参数']\n",
+    "unit_features_used['总容量'] = unit_features['发电机组1_单机容量（MW）'] + unit_features['发电机组2_单机容量（MW）']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "               企业名称       生产设备类型     燃料类型 低位发热量（GJ/t） 汽轮机类型     冷却方式 额定蒸发量  \\\n1        浙江秀舟热电有限公司  高温高压循环流化床锅炉  中高挥发分烟煤      20.501   背压式  水冷-闭式循环   230   \n2      武乡西山发电有限责任公司         煤粉锅炉       褐煤      18.643   抽凝式  空冷-直接空冷  4160   \n3  国电电力邯郸东郊热电有限责任公司         煤粉锅炉   低挥发分烟煤      19.087   抽凝式  水冷-闭式循环  2250   \n4      建投遵化热电有限责任公司         煤粉锅炉     一般烟煤      14.682   抽凝式  水冷-闭式循环  2344   \n\n   压力参数   总容量  \n1    高压    30  \n2   亚临界  1200  \n3  超超临界   700  \n4   超临界   700  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>企业名称</th>\n      <th>生产设备类型</th>\n      <th>燃料类型</th>\n      <th>低位发热量（GJ/t）</th>\n      <th>汽轮机类型</th>\n      <th>冷却方式</th>\n      <th>额定蒸发量</th>\n      <th>压力参数</th>\n      <th>总容量</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>高温高压循环流化床锅炉</td>\n      <td>中高挥发分烟煤</td>\n      <td>20.501</td>\n      <td>背压式</td>\n      <td>水冷-闭式循环</td>\n      <td>230</td>\n      <td>高压</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>武乡西山发电有限责任公司</td>\n      <td>煤粉锅炉</td>\n      <td>褐煤</td>\n      <td>18.643</td>\n      <td>抽凝式</td>\n      <td>空冷-直接空冷</td>\n      <td>4160</td>\n      <td>亚临界</td>\n      <td>1200</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>煤粉锅炉</td>\n      <td>低挥发分烟煤</td>\n      <td>19.087</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>2250</td>\n      <td>超超临界</td>\n      <td>700</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>煤粉锅炉</td>\n      <td>一般烟煤</td>\n      <td>14.682</td>\n      <td>抽凝式</td>\n      <td>水冷-闭式循环</td>\n      <td>2344</td>\n      <td>超临界</td>\n      <td>700</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unit_features_used"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "outputs": [],
+   "source": [
+    "final_data = all_daily_data.merge(unit_features_used, how='left', on='企业名称')"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "outputs": [],
+   "source": [
+    "import datetime as dt"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "outputs": [],
+   "source": [
+    "def cal_timedelta(x):\n",
+    "    date = dt.datetime.strptime(x, '%Y-%m-%d')\n",
+    "    date = dt.date(date.year, date.month, date.day)\n",
+    "    start_date = dt.date(date.year, 1, 1)\n",
+    "    time_delta = (date - start_date).days\n",
+    "    return time_delta"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "outputs": [],
+   "source": [
+    "final_data['day_of_year'] = final_data.days.apply(cal_timedelta)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/将电厂的天数据合并.ipynb b/将电厂的天数据合并.ipynb
index 188836a..1900063 100644
--- a/将电厂的天数据合并.ipynb
+++ b/将电厂的天数据合并.ipynb
@@ -13,6 +13,7 @@
     "from pylab import mpl\n",
     "\n",
     "# 设置显示中文字体\n",
+    "\n",
     "mpl.rcParams[\"font.sans-serif\"] = [\"SimHei\"]\n",
     "\n",
     "mpl.rcParams[\"axes.unicode_minus\"] = False"
@@ -68,13 +69,127 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 49,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "             日期        企业名称   发电量（千瓦时）   供热量（吉焦）  燃料消耗量（吨）\n0    2018-10-01  浙江秀舟热电有限公司  156796.00   6536.83       323\n1    2018-10-02  浙江秀舟热电有限公司  133984.00   2484.64       218\n2    2018-10-03  浙江秀舟热电有限公司  134023.00   3020.83       212\n3    2018-10-04  浙江秀舟热电有限公司  124765.00   5599.23       223\n4    2018-10-05  浙江秀舟热电有限公司  134414.00   4702.65       243\n...         ...         ...        ...       ...       ...\n1173 2022-01-22  浙江秀舟热电有限公司      52.24  12472.00       822\n1174 2022-01-23  浙江秀舟热电有限公司      51.36  12051.00       790\n1175 2022-01-24  浙江秀舟热电有限公司      51.12  11276.00       751\n1176 2022-01-25  浙江秀舟热电有限公司      49.32  11007.00       672\n1177 2022-01-26  浙江秀舟热电有限公司      29.64   8132.00       484\n\n[1178 rows x 5 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>日期</th>\n      <th>企业名称</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>156796.00</td>\n      <td>6536.83</td>\n      <td>323</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>133984.00</td>\n      <td>2484.64</td>\n      <td>218</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>134023.00</td>\n      <td>3020.83</td>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>124765.00</td>\n      <td>5599.23</td>\n      <td>223</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>134414.00</td>\n      <td>4702.65</td>\n      <td>243</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1173</th>\n      <td>2022-01-22</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>52.24</td>\n      <td>12472.00</td>\n      <td>822</td>\n    </tr>\n    <tr>\n      <th>1174</th>\n      <td>2022-01-23</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>51.36</td>\n      <td>12051.00</td>\n      <td>790</td>\n    </tr>\n    <tr>\n      <th>1175</th>\n      <td>2022-01-24</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>51.12</td>\n      <td>11276.00</td>\n      <td>751</td>\n    </tr>\n    <tr>\n      <th>1176</th>\n      <td>2022-01-25</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>49.32</td>\n      <td>11007.00</td>\n      <td>672</td>\n    </tr>\n    <tr>\n      <th>1177</th>\n      <td>2022-01-26</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>29.64</td>\n      <td>8132.00</td>\n      <td>484</td>\n    </tr>\n  </tbody>\n</table>\n<p>1178 rows × 5 columns</p>\n</div>"
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "zjxz_daily_data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "            days   发电量（千瓦时）   供热量（吉焦）  机组运行时间（小时）  硫分（%）  脱硫剂使用量（吨）  \\\n0     2018-10-01  156796.00   6536.83        24.0   0.51       5.06   \n1     2018-10-02  133984.00   2484.64        24.0   0.51       5.04   \n2     2018-10-03  134023.00   3020.83        24.0   0.51       5.04   \n3     2018-10-04  124765.00   5599.23        24.0   0.51       5.03   \n4     2018-10-05  134414.00   4702.65        24.0   0.51       5.06   \n...          ...        ...       ...         ...    ...        ...   \n1082  2022-01-22      52.24  12472.00        24.0   0.59       8.46   \n1083  2022-01-23      51.36  12051.00        24.0   0.59       8.46   \n1084  2022-01-24      51.12  11276.00        24.0   0.59       8.43   \n1085  2022-01-25      49.32  11007.00        24.0   0.59       8.43   \n1086  2022-01-26      29.64   8132.00        24.0   0.59       8.44   \n\n      脱硫设施运行时间（小时）  脱硝还原剂消耗量（吨）  脱硝运行时间（小时）  燃料消耗量（吨）  ...          cSO2  \\\n0             24.0         2.98        24.0       323  ...  2.148473e+07   \n1             24.0         2.97        24.0       218  ...  1.587722e+07   \n2             24.0         2.95        24.0       212  ...  2.829086e+07   \n3             24.0         2.98        24.0       223  ...  1.030569e+07   \n4             24.0         3.01        24.0       243  ...  1.830254e+06   \n...            ...          ...         ...       ...  ...           ...   \n1082          24.0         4.56        24.0       822  ...  3.626034e+06   \n1083          24.0         4.58        24.0       790  ...  4.074431e+06   \n1084          24.0         4.57        24.0       751  ...  4.928013e+06   \n1085          24.0         4.56        24.0       672  ...  4.584759e+06   \n1086          24.0         4.57        24.0       484  ...  5.701371e+06   \n\n               cO2        csmoke           flow       rNOx        rO2  \\\n0     3.745944e+07  6.519466e+05  162345.192917  28.981417   9.900000   \n1     2.832146e+07  3.656575e+05  140175.330833  22.220750   9.400000   \n2     3.174159e+07  5.181773e+05  154686.184167  24.816708   8.550000   \n3     2.511504e+07  2.299438e+06  120345.545833  21.875125  10.202083   \n4     4.106346e+07  6.230433e+06  162533.103542  25.605917  11.497917   \n...            ...           ...            ...        ...        ...   \n1082  4.149625e+07  6.512159e+06  218349.604167   2.603662   7.921417   \n1083  4.422277e+07  6.203422e+06  210121.608333   6.638867   8.756333   \n1084  4.655727e+07  6.101480e+06  211378.329167  12.277371   9.110167   \n1085  7.959093e+07  6.326125e+06  240801.208333   5.684492  13.636042   \n1086  9.866431e+07  6.632631e+06  263197.579167   1.672292  15.621583   \n\n           temp      rSO2    rsmoke  day_of_year  \n0     51.250000  5.581667  0.209167          273  \n1     50.679167  4.364167  0.190417          274  \n2     52.808333  7.580000  0.139583          275  \n3     48.854167  2.808958  0.893333          276  \n4     45.783333  0.393333  2.141875          277  \n...         ...       ...       ...          ...  \n1082  55.441542  0.690904  1.242762           21  \n1083  54.574333  0.810112  1.230213           22  \n1084  53.031042  0.973396  1.203483           23  \n1085  42.908458  0.807300  1.098229           24  \n1086  36.412917  0.904429  1.050008           25  \n\n[1087 rows x 165 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>机组运行时间（小时）</th>\n      <th>硫分（%）</th>\n      <th>脱硫剂使用量（吨）</th>\n      <th>脱硫设施运行时间（小时）</th>\n      <th>脱硝还原剂消耗量（吨）</th>\n      <th>脱硝运行时间（小时）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>...</th>\n      <th>cSO2</th>\n      <th>cO2</th>\n      <th>csmoke</th>\n      <th>flow</th>\n      <th>rNOx</th>\n      <th>rO2</th>\n      <th>temp</th>\n      <th>rSO2</th>\n      <th>rsmoke</th>\n      <th>day_of_year</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.00</td>\n      <td>6536.83</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.06</td>\n      <td>24.0</td>\n      <td>2.98</td>\n      <td>24.0</td>\n      <td>323</td>\n      <td>...</td>\n      <td>2.148473e+07</td>\n      <td>3.745944e+07</td>\n      <td>6.519466e+05</td>\n      <td>162345.192917</td>\n      <td>28.981417</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>5.581667</td>\n      <td>0.209167</td>\n      <td>273</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.00</td>\n      <td>2484.64</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.04</td>\n      <td>24.0</td>\n      <td>2.97</td>\n      <td>24.0</td>\n      <td>218</td>\n      <td>...</td>\n      <td>1.587722e+07</td>\n      <td>2.832146e+07</td>\n      <td>3.656575e+05</td>\n      <td>140175.330833</td>\n      <td>22.220750</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>4.364167</td>\n      <td>0.190417</td>\n      <td>274</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.00</td>\n      <td>3020.83</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.04</td>\n      <td>24.0</td>\n      <td>2.95</td>\n      <td>24.0</td>\n      <td>212</td>\n      <td>...</td>\n      <td>2.829086e+07</td>\n      <td>3.174159e+07</td>\n      <td>5.181773e+05</td>\n      <td>154686.184167</td>\n      <td>24.816708</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>7.580000</td>\n      <td>0.139583</td>\n      <td>275</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.00</td>\n      <td>5599.23</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.03</td>\n      <td>24.0</td>\n      <td>2.98</td>\n      <td>24.0</td>\n      <td>223</td>\n      <td>...</td>\n      <td>1.030569e+07</td>\n      <td>2.511504e+07</td>\n      <td>2.299438e+06</td>\n      <td>120345.545833</td>\n      <td>21.875125</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.808958</td>\n      <td>0.893333</td>\n      <td>276</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.00</td>\n      <td>4702.65</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.06</td>\n      <td>24.0</td>\n      <td>3.01</td>\n      <td>24.0</td>\n      <td>243</td>\n      <td>...</td>\n      <td>1.830254e+06</td>\n      <td>4.106346e+07</td>\n      <td>6.230433e+06</td>\n      <td>162533.103542</td>\n      <td>25.605917</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.393333</td>\n      <td>2.141875</td>\n      <td>277</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1082</th>\n      <td>2022-01-22</td>\n      <td>52.24</td>\n      <td>12472.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.46</td>\n      <td>24.0</td>\n      <td>4.56</td>\n      <td>24.0</td>\n      <td>822</td>\n      <td>...</td>\n      <td>3.626034e+06</td>\n      <td>4.149625e+07</td>\n      <td>6.512159e+06</td>\n      <td>218349.604167</td>\n      <td>2.603662</td>\n      <td>7.921417</td>\n      <td>55.441542</td>\n      <td>0.690904</td>\n      <td>1.242762</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>1083</th>\n      <td>2022-01-23</td>\n      <td>51.36</td>\n      <td>12051.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.46</td>\n      <td>24.0</td>\n      <td>4.58</td>\n      <td>24.0</td>\n      <td>790</td>\n      <td>...</td>\n      <td>4.074431e+06</td>\n      <td>4.422277e+07</td>\n      <td>6.203422e+06</td>\n      <td>210121.608333</td>\n      <td>6.638867</td>\n      <td>8.756333</td>\n      <td>54.574333</td>\n      <td>0.810112</td>\n      <td>1.230213</td>\n      <td>22</td>\n    </tr>\n    <tr>\n      <th>1084</th>\n      <td>2022-01-24</td>\n      <td>51.12</td>\n      <td>11276.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.43</td>\n      <td>24.0</td>\n      <td>4.57</td>\n      <td>24.0</td>\n      <td>751</td>\n      <td>...</td>\n      <td>4.928013e+06</td>\n      <td>4.655727e+07</td>\n      <td>6.101480e+06</td>\n      <td>211378.329167</td>\n      <td>12.277371</td>\n      <td>9.110167</td>\n      <td>53.031042</td>\n      <td>0.973396</td>\n      <td>1.203483</td>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>1085</th>\n      <td>2022-01-25</td>\n      <td>49.32</td>\n      <td>11007.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.43</td>\n      <td>24.0</td>\n      <td>4.56</td>\n      <td>24.0</td>\n      <td>672</td>\n      <td>...</td>\n      <td>4.584759e+06</td>\n      <td>7.959093e+07</td>\n      <td>6.326125e+06</td>\n      <td>240801.208333</td>\n      <td>5.684492</td>\n      <td>13.636042</td>\n      <td>42.908458</td>\n      <td>0.807300</td>\n      <td>1.098229</td>\n      <td>24</td>\n    </tr>\n    <tr>\n      <th>1086</th>\n      <td>2022-01-26</td>\n      <td>29.64</td>\n      <td>8132.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.44</td>\n      <td>24.0</td>\n      <td>4.57</td>\n      <td>24.0</td>\n      <td>484</td>\n      <td>...</td>\n      <td>5.701371e+06</td>\n      <td>9.866431e+07</td>\n      <td>6.632631e+06</td>\n      <td>263197.579167</td>\n      <td>1.672292</td>\n      <td>15.621583</td>\n      <td>36.412917</td>\n      <td>0.904429</td>\n      <td>1.050008</td>\n      <td>25</td>\n    </tr>\n  </tbody>\n</table>\n<p>1087 rows × 165 columns</p>\n</div>"
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "zjxz_emiss_data = pd.read_csv('data/train_data.csv')\n",
+    "zjxz_emiss_data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "            days   发电量（千瓦时）   供热量（吉焦）  燃料消耗量（吨）           flow       rNOx  \\\n0     2018-10-01  156796.00   6536.83       323  162345.192917  28.981417   \n1     2018-10-02  133984.00   2484.64       218  140175.330833  22.220750   \n2     2018-10-03  134023.00   3020.83       212  154686.184167  24.816708   \n3     2018-10-04  124765.00   5599.23       223  120345.545833  21.875125   \n4     2018-10-05  134414.00   4702.65       243  162533.103542  25.605917   \n...          ...        ...       ...       ...            ...        ...   \n1082  2022-01-22      52.24  12472.00       822  218349.604167   2.603662   \n1083  2022-01-23      51.36  12051.00       790  210121.608333   6.638867   \n1084  2022-01-24      51.12  11276.00       751  211378.329167  12.277371   \n1085  2022-01-25      49.32  11007.00       672  240801.208333   5.684492   \n1086  2022-01-26      29.64   8132.00       484  263197.579167   1.672292   \n\n            rO2       temp      rSO2    rsmoke  \n0      9.900000  51.250000  5.581667  0.209167  \n1      9.400000  50.679167  4.364167  0.190417  \n2      8.550000  52.808333  7.580000  0.139583  \n3     10.202083  48.854167  2.808958  0.893333  \n4     11.497917  45.783333  0.393333  2.141875  \n...         ...        ...       ...       ...  \n1082   7.921417  55.441542  0.690904  1.242762  \n1083   8.756333  54.574333  0.810112  1.230213  \n1084   9.110167  53.031042  0.973396  1.203483  \n1085  13.636042  42.908458  0.807300  1.098229  \n1086  15.621583  36.412917  0.904429  1.050008  \n\n[1087 rows x 10 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>flow</th>\n      <th>rNOx</th>\n      <th>rO2</th>\n      <th>temp</th>\n      <th>rSO2</th>\n      <th>rsmoke</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.00</td>\n      <td>6536.83</td>\n      <td>323</td>\n      <td>162345.192917</td>\n      <td>28.981417</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>5.581667</td>\n      <td>0.209167</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.00</td>\n      <td>2484.64</td>\n      <td>218</td>\n      <td>140175.330833</td>\n      <td>22.220750</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>4.364167</td>\n      <td>0.190417</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.00</td>\n      <td>3020.83</td>\n      <td>212</td>\n      <td>154686.184167</td>\n      <td>24.816708</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>7.580000</td>\n      <td>0.139583</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.00</td>\n      <td>5599.23</td>\n      <td>223</td>\n      <td>120345.545833</td>\n      <td>21.875125</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.808958</td>\n      <td>0.893333</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.00</td>\n      <td>4702.65</td>\n      <td>243</td>\n      <td>162533.103542</td>\n      <td>25.605917</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.393333</td>\n      <td>2.141875</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1082</th>\n      <td>2022-01-22</td>\n      <td>52.24</td>\n      <td>12472.00</td>\n      <td>822</td>\n      <td>218349.604167</td>\n      <td>2.603662</td>\n      <td>7.921417</td>\n      <td>55.441542</td>\n      <td>0.690904</td>\n      <td>1.242762</td>\n    </tr>\n    <tr>\n      <th>1083</th>\n      <td>2022-01-23</td>\n      <td>51.36</td>\n      <td>12051.00</td>\n      <td>790</td>\n      <td>210121.608333</td>\n      <td>6.638867</td>\n      <td>8.756333</td>\n      <td>54.574333</td>\n      <td>0.810112</td>\n      <td>1.230213</td>\n    </tr>\n    <tr>\n      <th>1084</th>\n      <td>2022-01-24</td>\n      <td>51.12</td>\n      <td>11276.00</td>\n      <td>751</td>\n      <td>211378.329167</td>\n      <td>12.277371</td>\n      <td>9.110167</td>\n      <td>53.031042</td>\n      <td>0.973396</td>\n      <td>1.203483</td>\n    </tr>\n    <tr>\n      <th>1085</th>\n      <td>2022-01-25</td>\n      <td>49.32</td>\n      <td>11007.00</td>\n      <td>672</td>\n      <td>240801.208333</td>\n      <td>5.684492</td>\n      <td>13.636042</td>\n      <td>42.908458</td>\n      <td>0.807300</td>\n      <td>1.098229</td>\n    </tr>\n    <tr>\n      <th>1086</th>\n      <td>2022-01-26</td>\n      <td>29.64</td>\n      <td>8132.00</td>\n      <td>484</td>\n      <td>263197.579167</td>\n      <td>1.672292</td>\n      <td>15.621583</td>\n      <td>36.412917</td>\n      <td>0.904429</td>\n      <td>1.050008</td>\n    </tr>\n  </tbody>\n</table>\n<p>1087 rows × 10 columns</p>\n</div>"
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "zjxz_save_cols = zjxz_emiss_data.columns[:3].tolist() + ['燃料消耗量（吨）'] + zjxz_emiss_data.columns[-7:-1].tolist()\n",
+    "zjxz_save_data = zjxz_emiss_data[zjxz_save_cols].copy()\n",
+    "zjxz_save_data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "outputs": [],
+   "source": [
+    "for col in ['rNOx', 'rSO2', 'rsmoke']:\n",
+    "    zjxz_save_data[col] = zjxz_save_data[col]*101800*273 / (101325 * (273 + zjxz_save_data.temp))"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "            days   发电量（千瓦时）   供热量（吉焦）  燃料消耗量（吨）           flow       rNOx  \\\n0     2018-10-01  156796.00   6536.83       323  162345.192917  24.515087   \n1     2018-10-02  133984.00   2484.64       218  140175.330833  18.829456   \n2     2018-10-03  134023.00   3020.83       212  154686.184167  20.891797   \n3     2018-10-04  124765.00   5599.23       223  120345.545833  18.641687   \n4     2018-10-05  134414.00   4702.65       243  162533.103542  22.031219   \n...          ...        ...       ...       ...            ...        ...   \n1082  2022-01-22      52.24  12472.00       822  218349.604167   2.174305   \n1083  2022-01-23      51.36  12051.00       790  210121.608333   5.558760   \n1084  2022-01-24      51.12  11276.00       751  211378.329167  10.328571   \n1085  2022-01-25      49.32  11007.00       672  240801.208333   4.935421   \n1086  2022-01-26      29.64   8132.00       484  263197.579167   1.482407   \n\n            rO2       temp      rSO2    rsmoke  \n0      9.900000  51.250000  4.721475  0.176932  \n1      9.400000  50.679167  3.698115  0.161356  \n2      8.550000  52.808333  6.381178  0.117507  \n3     10.202083  48.854167  2.393757  0.761287  \n4     11.497917  45.783333  0.338422  1.842860  \n...         ...        ...       ...       ...  \n1082   7.921417  55.441542  0.576970  1.037824  \n1083   8.756333  54.574333  0.678312  1.030064  \n1084   9.110167  53.031042  0.818888  1.012453  \n1085  13.636042  42.908458  0.700918  0.953511  \n1086  15.621583  36.412917  0.801733  0.930782  \n\n[1087 rows x 10 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>flow</th>\n      <th>rNOx</th>\n      <th>rO2</th>\n      <th>temp</th>\n      <th>rSO2</th>\n      <th>rsmoke</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.00</td>\n      <td>6536.83</td>\n      <td>323</td>\n      <td>162345.192917</td>\n      <td>24.515087</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>4.721475</td>\n      <td>0.176932</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.00</td>\n      <td>2484.64</td>\n      <td>218</td>\n      <td>140175.330833</td>\n      <td>18.829456</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>3.698115</td>\n      <td>0.161356</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.00</td>\n      <td>3020.83</td>\n      <td>212</td>\n      <td>154686.184167</td>\n      <td>20.891797</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>6.381178</td>\n      <td>0.117507</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.00</td>\n      <td>5599.23</td>\n      <td>223</td>\n      <td>120345.545833</td>\n      <td>18.641687</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.393757</td>\n      <td>0.761287</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.00</td>\n      <td>4702.65</td>\n      <td>243</td>\n      <td>162533.103542</td>\n      <td>22.031219</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.338422</td>\n      <td>1.842860</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1082</th>\n      <td>2022-01-22</td>\n      <td>52.24</td>\n      <td>12472.00</td>\n      <td>822</td>\n      <td>218349.604167</td>\n      <td>2.174305</td>\n      <td>7.921417</td>\n      <td>55.441542</td>\n      <td>0.576970</td>\n      <td>1.037824</td>\n    </tr>\n    <tr>\n      <th>1083</th>\n      <td>2022-01-23</td>\n      <td>51.36</td>\n      <td>12051.00</td>\n      <td>790</td>\n      <td>210121.608333</td>\n      <td>5.558760</td>\n      <td>8.756333</td>\n      <td>54.574333</td>\n      <td>0.678312</td>\n      <td>1.030064</td>\n    </tr>\n    <tr>\n      <th>1084</th>\n      <td>2022-01-24</td>\n      <td>51.12</td>\n      <td>11276.00</td>\n      <td>751</td>\n      <td>211378.329167</td>\n      <td>10.328571</td>\n      <td>9.110167</td>\n      <td>53.031042</td>\n      <td>0.818888</td>\n      <td>1.012453</td>\n    </tr>\n    <tr>\n      <th>1085</th>\n      <td>2022-01-25</td>\n      <td>49.32</td>\n      <td>11007.00</td>\n      <td>672</td>\n      <td>240801.208333</td>\n      <td>4.935421</td>\n      <td>13.636042</td>\n      <td>42.908458</td>\n      <td>0.700918</td>\n      <td>0.953511</td>\n    </tr>\n    <tr>\n      <th>1086</th>\n      <td>2022-01-26</td>\n      <td>29.64</td>\n      <td>8132.00</td>\n      <td>484</td>\n      <td>263197.579167</td>\n      <td>1.482407</td>\n      <td>15.621583</td>\n      <td>36.412917</td>\n      <td>0.801733</td>\n      <td>0.930782</td>\n    </tr>\n  </tbody>\n</table>\n<p>1087 rows × 10 columns</p>\n</div>"
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "zjxz_save_data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "outputs": [
     {
      "data": {
       "text/plain": "Index(['企业名称', '地址', '省份', '经度', '纬度', '烟囱高度(m)', '机组数量', '单机容量（MW）', '生产设备类型',\n       '锅炉额定蒸发量 t/h ', '汽轮机类型', '压力参数', '冷却方式', '脱硝工艺', '脱硫工艺', '除尘工艺',\n       'Unnamed: 16', '日期', '机组编号', '投产日期', '燃煤干燥无灰基挥发分vda（%）',\n       '入炉煤低位发热量（GJ/t）', '入炉煤消耗量发电（吨）', '入炉煤消耗量供热（吨）', '脱硝还原剂使用量a侧（吨）',\n       '脱硝还原剂使用量b侧（吨）', '脱硝设施运行时间a侧（小时）', '脱硝设施运行时间b侧（小时）', '发电量', '供热量(吉焦)',\n       '机组运行时间', '硫分（%）', '脱硫副产品产量（吨）', '脱硫剂使用量（吨）', '脱硫设施运行时间（小时）',\n       '脱硝还原剂消耗量（吨）', '燃料消耗量（吨）', '石灰石总量（吨）', 'Unnamed: 38', 'Unnamed: 39',\n       '日期.1', '机组编号.1', '投产日期.1', '燃煤干燥无灰基挥发分vda（%）.1', '入炉煤低位发热量（GJ/t）.1',\n       '入炉煤消耗量发电（吨）.1', '入炉煤消耗量供热（吨）.1', '脱硝还原剂使用量a侧（吨）.1', '脱硝还原剂使用量b侧（吨）.1',\n       '脱硝设施运行时间a侧（小时）.1', '脱硝设施运行时间b侧（小时）.1', '发电量（万千瓦时）', '供热量（吉焦）',\n       '机组运行时间（小时）', '硫分（%）.1', '脱硫副产品产量（吨）.1', '脱硫剂使用量（吨）.1',\n       '脱硫设施运行时间（小时）.1', '脱硝还原剂消耗量（吨）.1', '燃料消耗量（吨）.1', '石灰石总量（吨）.1'],\n      dtype='object')"
      },
-     "execution_count": 37,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -92,14 +207,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 5,
    "outputs": [
     {
      "data": {
       "text/plain": "          days  发电量_2（万千瓦时）  供热量_2（吉焦）  燃料消耗量_2（吨）\n149 2021-05-30         1033        0.0      4763.4\n150 2021-05-31          909        0.0      4516.5",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>149</th>\n      <td>2021-05-30</td>\n      <td>1033</td>\n      <td>0.0</td>\n      <td>4763.4</td>\n    </tr>\n    <tr>\n      <th>150</th>\n      <td>2021-05-31</td>\n      <td>909</td>\n      <td>0.0</td>\n      <td>4516.5</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 38,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -121,13 +236,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 6,
    "outputs": [
     {
      "data": {
       "text/plain": "DatetimeIndex(['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04',\n               '2021-01-05', '2021-01-06', '2021-01-07', '2021-01-08',\n               '2021-01-09', '2021-01-10',\n               ...\n               '2021-05-22', '2021-05-23', '2021-05-24', '2021-05-25',\n               '2021-05-26', '2021-05-27', '2021-05-28', '2021-05-29',\n               '2021-05-30', '2021-05-31'],\n              dtype='datetime64[ns]', length=151, freq='D')"
      },
-     "execution_count": 39,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -147,7 +262,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 7,
    "outputs": [],
    "source": [
     "xswx_daily_unit_1 = xswx_daily_unit_1.set_index('days').reindex(date_range).fillna(0)\n",
@@ -162,7 +277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 8,
    "outputs": [],
    "source": [
     "xswx_daily_data = pd.concat([xswx_daily_unit_1, xswx_daily_unit_2], axis=1)"
@@ -176,7 +291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 9,
    "outputs": [],
    "source": [
     "xswx_daily_data['企业名称'] = '武乡西山发电有限责任公司'\n",
@@ -193,14 +308,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 10,
    "outputs": [
     {
      "data": {
       "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2021-01-01        952.0    11032.5      5478.8          893        0.0   \n2021-01-02       1127.0    11180.5      6125.4         1061        0.0   \n2021-01-03       1051.0    11197.7      5717.6         1053        0.0   \n2021-01-04       1179.0    11146.6      6172.5         1237        0.0   \n2021-01-05       1142.0    10922.4      6053.3         1082        0.0   \n...                 ...        ...         ...          ...        ...   \n2021-05-27          0.0        0.0         0.0         1192        0.0   \n2021-05-28          0.0        0.0         0.0         1159        0.0   \n2021-05-29          0.0        0.0         0.0          998        0.0   \n2021-05-30          0.0        0.0         0.0         1033        0.0   \n2021-05-31          0.0        0.0         0.0          909        0.0   \n\n            燃料消耗量_2（吨）          企业名称  发电量（万千瓦时）  供热量（吉焦）  燃料消耗量（吨）  \n2021-01-01      4689.7  武乡西山发电有限责任公司     1845.0  11032.5   10168.5  \n2021-01-02      5455.5  武乡西山发电有限责任公司     2188.0  11180.5   11580.9  \n2021-01-03      4060.5  武乡西山发电有限责任公司     2104.0  11197.7    9778.1  \n2021-01-04      5574.7  武乡西山发电有限责任公司     2416.0  11146.6   11747.2  \n2021-01-05      6363.9  武乡西山发电有限责任公司     2224.0  10922.4   12417.2  \n...                ...           ...        ...      ...       ...  \n2021-05-27      5684.3  武乡西山发电有限责任公司     1192.0      0.0    5684.3  \n2021-05-28      5349.3  武乡西山发电有限责任公司     1159.0      0.0    5349.3  \n2021-05-29      4851.2  武乡西山发电有限责任公司      998.0      0.0    4851.2  \n2021-05-30      4763.4  武乡西山发电有限责任公司     1033.0      0.0    4763.4  \n2021-05-31      4516.5  武乡西山发电有限责任公司      909.0      0.0    4516.5  \n\n[151 rows x 10 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>发电量（万千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2021-01-01</th>\n      <td>952.0</td>\n      <td>11032.5</td>\n      <td>5478.8</td>\n      <td>893</td>\n      <td>0.0</td>\n      <td>4689.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1845.0</td>\n      <td>11032.5</td>\n      <td>10168.5</td>\n    </tr>\n    <tr>\n      <th>2021-01-02</th>\n      <td>1127.0</td>\n      <td>11180.5</td>\n      <td>6125.4</td>\n      <td>1061</td>\n      <td>0.0</td>\n      <td>5455.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2188.0</td>\n      <td>11180.5</td>\n      <td>11580.9</td>\n    </tr>\n    <tr>\n      <th>2021-01-03</th>\n      <td>1051.0</td>\n      <td>11197.7</td>\n      <td>5717.6</td>\n      <td>1053</td>\n      <td>0.0</td>\n      <td>4060.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2104.0</td>\n      <td>11197.7</td>\n      <td>9778.1</td>\n    </tr>\n    <tr>\n      <th>2021-01-04</th>\n      <td>1179.0</td>\n      <td>11146.6</td>\n      <td>6172.5</td>\n      <td>1237</td>\n      <td>0.0</td>\n      <td>5574.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2416.0</td>\n      <td>11146.6</td>\n      <td>11747.2</td>\n    </tr>\n    <tr>\n      <th>2021-01-05</th>\n      <td>1142.0</td>\n      <td>10922.4</td>\n      <td>6053.3</td>\n      <td>1082</td>\n      <td>0.0</td>\n      <td>6363.9</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2224.0</td>\n      <td>10922.4</td>\n      <td>12417.2</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2021-05-27</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1192</td>\n      <td>0.0</td>\n      <td>5684.3</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1192.0</td>\n      <td>0.0</td>\n      <td>5684.3</td>\n    </tr>\n    <tr>\n      <th>2021-05-28</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1159</td>\n      <td>0.0</td>\n      <td>5349.3</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1159.0</td>\n      <td>0.0</td>\n      <td>5349.3</td>\n    </tr>\n    <tr>\n      <th>2021-05-29</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>998</td>\n      <td>0.0</td>\n      <td>4851.2</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>998.0</td>\n      <td>0.0</td>\n      <td>4851.2</td>\n    </tr>\n    <tr>\n      <th>2021-05-30</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1033</td>\n      <td>0.0</td>\n      <td>4763.4</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1033.0</td>\n      <td>0.0</td>\n      <td>4763.4</td>\n    </tr>\n    <tr>\n      <th>2021-05-31</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>909</td>\n      <td>0.0</td>\n      <td>4516.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>909.0</td>\n      <td>0.0</td>\n      <td>4516.5</td>\n    </tr>\n  </tbody>\n</table>\n<p>151 rows × 10 columns</p>\n</div>"
      },
-     "execution_count": 46,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -217,14 +332,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 11,
    "outputs": [
     {
      "data": {
       "text/plain": "    Unnamed: 0    Unnamed: 1     监控点名称  二氧化硫浓度(mg/m3)  氮氧化物浓度(mg/m3)  \\\n0     2021.1.1  武乡西山发电有限责任公司  1号炉废气排放口          20.15          31.49   \n1     2021.1.2  武乡西山发电有限责任公司  1号炉废气排放口          20.27          31.65   \n2     2021.1.3  武乡西山发电有限责任公司  1号炉废气排放口          19.72          31.68   \n3     2021.1.4  武乡西山发电有限责任公司  1号炉废气排放口          17.64          31.51   \n4     2021.1.5  武乡西山发电有限责任公司  1号炉废气排放口          18.66          31.72   \n..         ...           ...       ...            ...            ...   \n113  2021.4.26  武乡西山发电有限责任公司  1号炉废气排放口           0.22           0.01   \n114  2021.4.27  武乡西山发电有限责任公司  1号炉废气排放口           0.00           0.01   \n115  2021.4.28  武乡西山发电有限责任公司  1号炉废气排放口           0.01           0.00   \n116  2021.4.29  武乡西山发电有限责任公司  1号炉废气排放口           0.00           0.01   \n117  2021.4.30  武乡西山发电有限责任公司  1号炉废气排放口           0.00           0.02   \n\n     烟尘浓度(mg/m3)  流速(m/s)    流量(m3/h)  Unnamed: 8  Unnamed: 9  ...  \\\n0           2.49    11.24  1558502.96         NaN         NaN  ...   \n1           2.51    12.03  1648629.50         NaN         NaN  ...   \n2           2.50    12.11  1656682.63         NaN         NaN  ...   \n3           2.52    11.79  1610496.46         NaN         NaN  ...   \n4           2.50    11.97  1652330.08         NaN         NaN  ...   \n..           ...      ...         ...         ...         ...  ...   \n113         0.19     0.00        0.00         NaN         NaN  ...   \n114         0.21     0.00        0.00         NaN         NaN  ...   \n115         0.25     0.00        0.00         NaN         NaN  ...   \n116         0.26     0.00        0.00         NaN         NaN  ...   \n117         0.56     0.00        0.00         NaN         NaN  ...   \n\n      Unnamed: 14   监控点名称.1  二氧化硫浓度(mg/m3).1 氮氧化物浓度(mg/m3).1 烟尘浓度(mg/m3).1  \\\n0    武乡西山发电有限责任公司  2号炉废气排放口            22.00           33.09          2.25   \n1    武乡西山发电有限责任公司  2号炉废气排放口            20.45           34.37          2.37   \n2    武乡西山发电有限责任公司  2号炉废气排放口            19.82           33.55          2.38   \n3    武乡西山发电有限责任公司  2号炉废气排放口            20.18           32.47          2.39   \n4    武乡西山发电有限责任公司  2号炉废气排放口            21.07           33.73          2.42   \n..            ...       ...              ...             ...           ...   \n113  武乡西山发电有限责任公司  2号炉废气排放口            18.31           35.41          2.03   \n114  武乡西山发电有限责任公司  2号炉废气排放口             0.14            0.43          0.08   \n115  武乡西山发电有限责任公司  2号炉废气排放口             0.00            0.01          0.09   \n116  武乡西山发电有限责任公司  2号炉废气排放口             0.01            0.05          0.07   \n117  武乡西山发电有限责任公司  2号炉废气排放口             3.96           22.90          0.68   \n\n    流速(m/s).1  流量(m3/h).1  Unnamed: 21  Unnamed: 22  状态.1  \n0        5.00   731609.00          NaN          NaN  正常运行  \n1        9.18  1326387.42          NaN          NaN  正常运行  \n2        9.85  1417186.13          NaN          NaN  正常运行  \n3        9.07  1304455.88          NaN          NaN  正常运行  \n4        9.71  1390566.88          NaN          NaN  正常运行  \n..        ...         ...          ...          ...   ...  \n113      9.59  1316204.83          NaN          NaN  正常运行  \n114      1.44   193474.61          NaN          NaN    停运  \n115      2.69   467356.96          NaN          NaN    停运  \n116      2.30   401366.08          NaN          NaN    停运  \n117      6.09   932694.63          NaN          NaN    停运  \n\n[118 rows x 24 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>Unnamed: 1</th>\n      <th>监控点名称</th>\n      <th>二氧化硫浓度(mg/m3)</th>\n      <th>氮氧化物浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>流速(m/s)</th>\n      <th>流量(m3/h)</th>\n      <th>Unnamed: 8</th>\n      <th>Unnamed: 9</th>\n      <th>...</th>\n      <th>Unnamed: 14</th>\n      <th>监控点名称.1</th>\n      <th>二氧化硫浓度(mg/m3).1</th>\n      <th>氮氧化物浓度(mg/m3).1</th>\n      <th>烟尘浓度(mg/m3).1</th>\n      <th>流速(m/s).1</th>\n      <th>流量(m3/h).1</th>\n      <th>Unnamed: 21</th>\n      <th>Unnamed: 22</th>\n      <th>状态.1</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2021.1.1</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>20.15</td>\n      <td>31.49</td>\n      <td>2.49</td>\n      <td>11.24</td>\n      <td>1558502.96</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>22.00</td>\n      <td>33.09</td>\n      <td>2.25</td>\n      <td>5.00</td>\n      <td>731609.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2021.1.2</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>20.27</td>\n      <td>31.65</td>\n      <td>2.51</td>\n      <td>12.03</td>\n      <td>1648629.50</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>20.45</td>\n      <td>34.37</td>\n      <td>2.37</td>\n      <td>9.18</td>\n      <td>1326387.42</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2021.1.3</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>19.72</td>\n      <td>31.68</td>\n      <td>2.50</td>\n      <td>12.11</td>\n      <td>1656682.63</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>19.82</td>\n      <td>33.55</td>\n      <td>2.38</td>\n      <td>9.85</td>\n      <td>1417186.13</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2021.1.4</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>17.64</td>\n      <td>31.51</td>\n      <td>2.52</td>\n      <td>11.79</td>\n      <td>1610496.46</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>20.18</td>\n      <td>32.47</td>\n      <td>2.39</td>\n      <td>9.07</td>\n      <td>1304455.88</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2021.1.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>18.66</td>\n      <td>31.72</td>\n      <td>2.50</td>\n      <td>11.97</td>\n      <td>1652330.08</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>21.07</td>\n      <td>33.73</td>\n      <td>2.42</td>\n      <td>9.71</td>\n      <td>1390566.88</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>113</th>\n      <td>2021.4.26</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.22</td>\n      <td>0.01</td>\n      <td>0.19</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>18.31</td>\n      <td>35.41</td>\n      <td>2.03</td>\n      <td>9.59</td>\n      <td>1316204.83</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>114</th>\n      <td>2021.4.27</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.21</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>0.14</td>\n      <td>0.43</td>\n      <td>0.08</td>\n      <td>1.44</td>\n      <td>193474.61</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>2021.4.28</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.25</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.09</td>\n      <td>2.69</td>\n      <td>467356.96</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>116</th>\n      <td>2021.4.29</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.26</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>0.01</td>\n      <td>0.05</td>\n      <td>0.07</td>\n      <td>2.30</td>\n      <td>401366.08</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>117</th>\n      <td>2021.4.30</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.56</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>3.96</td>\n      <td>22.90</td>\n      <td>0.68</td>\n      <td>6.09</td>\n      <td>932694.63</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n<p>118 rows × 24 columns</p>\n</div>"
      },
-     "execution_count": 103,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -242,14 +357,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 12,
    "outputs": [
     {
      "data": {
       "text/plain": "    Unnamed: 0  二氧化硫浓度(mg/m3)  氮氧化物浓度(mg/m3)  烟尘浓度(mg/m3)  流速(m/s)  \\\n0     2021.1.1          20.15          31.49         2.49    11.24   \n1     2021.1.2          20.27          31.65         2.51    12.03   \n2     2021.1.3          19.72          31.68         2.50    12.11   \n3     2021.1.4          17.64          31.51         2.52    11.79   \n4     2021.1.5          18.66          31.72         2.50    11.97   \n..         ...            ...            ...          ...      ...   \n113  2021.4.26           0.22           0.01         0.19     0.00   \n114  2021.4.27           0.00           0.01         0.21     0.00   \n115  2021.4.28           0.01           0.00         0.25     0.00   \n116  2021.4.29           0.00           0.01         0.26     0.00   \n117  2021.4.30           0.00           0.02         0.56     0.00   \n\n       流量(m3/h)    状态  \n0    1558502.96  正常运行  \n1    1648629.50  正常运行  \n2    1656682.63  正常运行  \n3    1610496.46  正常运行  \n4    1652330.08  正常运行  \n..          ...   ...  \n113        0.00    停运  \n114        0.00    停运  \n115        0.00    停运  \n116        0.00    停运  \n117        0.00    停运  \n\n[118 rows x 7 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>二氧化硫浓度(mg/m3)</th>\n      <th>氮氧化物浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>流速(m/s)</th>\n      <th>流量(m3/h)</th>\n      <th>状态</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2021.1.1</td>\n      <td>20.15</td>\n      <td>31.49</td>\n      <td>2.49</td>\n      <td>11.24</td>\n      <td>1558502.96</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2021.1.2</td>\n      <td>20.27</td>\n      <td>31.65</td>\n      <td>2.51</td>\n      <td>12.03</td>\n      <td>1648629.50</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2021.1.3</td>\n      <td>19.72</td>\n      <td>31.68</td>\n      <td>2.50</td>\n      <td>12.11</td>\n      <td>1656682.63</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2021.1.4</td>\n      <td>17.64</td>\n      <td>31.51</td>\n      <td>2.52</td>\n      <td>11.79</td>\n      <td>1610496.46</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2021.1.5</td>\n      <td>18.66</td>\n      <td>31.72</td>\n      <td>2.50</td>\n      <td>11.97</td>\n      <td>1652330.08</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>113</th>\n      <td>2021.4.26</td>\n      <td>0.22</td>\n      <td>0.01</td>\n      <td>0.19</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>114</th>\n      <td>2021.4.27</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.21</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>2021.4.28</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.25</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>116</th>\n      <td>2021.4.29</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.26</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>117</th>\n      <td>2021.4.30</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.56</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n<p>118 rows × 7 columns</p>\n</div>"
      },
-     "execution_count": 104,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -268,7 +383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 13,
    "outputs": [],
    "source": [
     "xswx_emiss_data_1.columns = ['days'] + xswx_emiss_data_1.columns[1:].tolist()\n",
@@ -283,7 +398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 14,
    "outputs": [],
    "source": [
     "xswx_emiss_data_1.index = pd.to_datetime(xswx_emiss_data_1.days)"
@@ -297,7 +412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 15,
    "outputs": [],
    "source": [
     "xswx_emiss_data_2.index = pd.to_datetime(xswx_emiss_data_2.days)"
@@ -311,7 +426,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 16,
    "outputs": [],
    "source": [
     "xswx_emiss_data_1.drop(columns=['days'], inplace=True)\n",
@@ -326,7 +441,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 17,
    "outputs": [],
    "source": [
     "xswx_emiss_data_1.columns = [f'机组1_{x}' for x in xswx_emiss_data_1.columns]\n",
@@ -341,13 +456,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 18,
    "outputs": [
     {
      "data": {
       "text/plain": "2021-01-01    1\n2021-03-17    1\n2021-03-29    1\n2021-03-28    1\n2021-03-27    1\n             ..\n2021-02-05    1\n2021-02-04    1\n2021-02-03    1\n2021-02-02    1\n2021-04-30    1\nName: days, Length: 118, dtype: int64"
      },
-     "execution_count": 110,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -364,20 +479,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2021-01-01        952.0    11032.5      5478.8          893        0.0   \n2021-01-02       1127.0    11180.5      6125.4         1061        0.0   \n2021-01-03       1051.0    11197.7      5717.6         1053        0.0   \n2021-01-04       1179.0    11146.6      6172.5         1237        0.0   \n2021-01-05       1142.0    10922.4      6053.3         1082        0.0   \n...                 ...        ...         ...          ...        ...   \n2021-05-27          0.0        0.0         0.0         1192        0.0   \n2021-05-28          0.0        0.0         0.0         1159        0.0   \n2021-05-29          0.0        0.0         0.0          998        0.0   \n2021-05-30          0.0        0.0         0.0         1033        0.0   \n2021-05-31          0.0        0.0         0.0          909        0.0   \n\n            燃料消耗量_2（吨）          企业名称  发电量（万千瓦时）  供热量（吉焦）  燃料消耗量（吨）  ...  \\\n2021-01-01      4689.7  武乡西山发电有限责任公司     1845.0  11032.5   10168.5  ...   \n2021-01-02      5455.5  武乡西山发电有限责任公司     2188.0  11180.5   11580.9  ...   \n2021-01-03      4060.5  武乡西山发电有限责任公司     2104.0  11197.7    9778.1  ...   \n2021-01-04      5574.7  武乡西山发电有限责任公司     2416.0  11146.6   11747.2  ...   \n2021-01-05      6363.9  武乡西山发电有限责任公司     2224.0  10922.4   12417.2  ...   \n...                ...           ...        ...      ...       ...  ...   \n2021-05-27      5684.3  武乡西山发电有限责任公司     1192.0      0.0    5684.3  ...   \n2021-05-28      5349.3  武乡西山发电有限责任公司     1159.0      0.0    5349.3  ...   \n2021-05-29      4851.2  武乡西山发电有限责任公司      998.0      0.0    4851.2  ...   \n2021-05-30      4763.4  武乡西山发电有限责任公司     1033.0      0.0    4763.4  ...   \n2021-05-31      4516.5  武乡西山发电有限责任公司      909.0      0.0    4516.5  ...   \n\n            机组1_烟尘浓度(mg/m3)  机组1_流速(m/s)  机组1_流量(m3/h)  机组1_状态  \\\n2021-01-01             2.49        11.24    1558502.96    正常运行   \n2021-01-02             2.51        12.03    1648629.50    正常运行   \n2021-01-03             2.50        12.11    1656682.63    正常运行   \n2021-01-04             2.52        11.79    1610496.46    正常运行   \n2021-01-05             2.50        11.97    1652330.08    正常运行   \n...                     ...          ...           ...     ...   \n2021-05-27              NaN          NaN           NaN     NaN   \n2021-05-28              NaN          NaN           NaN     NaN   \n2021-05-29              NaN          NaN           NaN     NaN   \n2021-05-30              NaN          NaN           NaN     NaN   \n2021-05-31              NaN          NaN           NaN     NaN   \n\n            机组2_二氧化硫浓度(mg/m3) 机组2_氮氧化物浓度(mg/m3)  机组2_烟尘浓度(mg/m3)  机组2_流速(m/s)  \\\n2021-01-01              22.00             33.09             2.25         5.00   \n2021-01-02              20.45             34.37             2.37         9.18   \n2021-01-03              19.82             33.55             2.38         9.85   \n2021-01-04              20.18             32.47             2.39         9.07   \n2021-01-05              21.07             33.73             2.42         9.71   \n...                       ...               ...              ...          ...   \n2021-05-27                NaN               NaN              NaN          NaN   \n2021-05-28                NaN               NaN              NaN          NaN   \n2021-05-29                NaN               NaN              NaN          NaN   \n2021-05-30                NaN               NaN              NaN          NaN   \n2021-05-31                NaN               NaN              NaN          NaN   \n\n            机组2_流量(m3/h)  机组2_状态  \n2021-01-01     731609.00    正常运行  \n2021-01-02    1326387.42    正常运行  \n2021-01-03    1417186.13    正常运行  \n2021-01-04    1304455.88    正常运行  \n2021-01-05    1390566.88    正常运行  \n...                  ...     ...  \n2021-05-27           NaN     NaN  \n2021-05-28           NaN     NaN  \n2021-05-29           NaN     NaN  \n2021-05-30           NaN     NaN  \n2021-05-31           NaN     NaN  \n\n[151 rows x 22 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>发电量（万千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>...</th>\n      <th>机组1_烟尘浓度(mg/m3)</th>\n      <th>机组1_流速(m/s)</th>\n      <th>机组1_流量(m3/h)</th>\n      <th>机组1_状态</th>\n      <th>机组2_二氧化硫浓度(mg/m3)</th>\n      <th>机组2_氮氧化物浓度(mg/m3)</th>\n      <th>机组2_烟尘浓度(mg/m3)</th>\n      <th>机组2_流速(m/s)</th>\n      <th>机组2_流量(m3/h)</th>\n      <th>机组2_状态</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2021-01-01</th>\n      <td>952.0</td>\n      <td>11032.5</td>\n      <td>5478.8</td>\n      <td>893</td>\n      <td>0.0</td>\n      <td>4689.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1845.0</td>\n      <td>11032.5</td>\n      <td>10168.5</td>\n      <td>...</td>\n      <td>2.49</td>\n      <td>11.24</td>\n      <td>1558502.96</td>\n      <td>正常运行</td>\n      <td>22.00</td>\n      <td>33.09</td>\n      <td>2.25</td>\n      <td>5.00</td>\n      <td>731609.00</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2021-01-02</th>\n      <td>1127.0</td>\n      <td>11180.5</td>\n      <td>6125.4</td>\n      <td>1061</td>\n      <td>0.0</td>\n      <td>5455.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2188.0</td>\n      <td>11180.5</td>\n      <td>11580.9</td>\n      <td>...</td>\n      <td>2.51</td>\n      <td>12.03</td>\n      <td>1648629.50</td>\n      <td>正常运行</td>\n      <td>20.45</td>\n      <td>34.37</td>\n      <td>2.37</td>\n      <td>9.18</td>\n      <td>1326387.42</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2021-01-03</th>\n      <td>1051.0</td>\n      <td>11197.7</td>\n      <td>5717.6</td>\n      <td>1053</td>\n      <td>0.0</td>\n      <td>4060.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2104.0</td>\n      <td>11197.7</td>\n      <td>9778.1</td>\n      <td>...</td>\n      <td>2.50</td>\n      <td>12.11</td>\n      <td>1656682.63</td>\n      <td>正常运行</td>\n      <td>19.82</td>\n      <td>33.55</td>\n      <td>2.38</td>\n      <td>9.85</td>\n      <td>1417186.13</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2021-01-04</th>\n      <td>1179.0</td>\n      <td>11146.6</td>\n      <td>6172.5</td>\n      <td>1237</td>\n      <td>0.0</td>\n      <td>5574.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2416.0</td>\n      <td>11146.6</td>\n      <td>11747.2</td>\n      <td>...</td>\n      <td>2.52</td>\n      <td>11.79</td>\n      <td>1610496.46</td>\n      <td>正常运行</td>\n      <td>20.18</td>\n      <td>32.47</td>\n      <td>2.39</td>\n      <td>9.07</td>\n      <td>1304455.88</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2021-01-05</th>\n      <td>1142.0</td>\n      <td>10922.4</td>\n      <td>6053.3</td>\n      <td>1082</td>\n      <td>0.0</td>\n      <td>6363.9</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2224.0</td>\n      <td>10922.4</td>\n      <td>12417.2</td>\n      <td>...</td>\n      <td>2.50</td>\n      <td>11.97</td>\n      <td>1652330.08</td>\n      <td>正常运行</td>\n      <td>21.07</td>\n      <td>33.73</td>\n      <td>2.42</td>\n      <td>9.71</td>\n      <td>1390566.88</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2021-05-27</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1192</td>\n      <td>0.0</td>\n      <td>5684.3</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1192.0</td>\n      <td>0.0</td>\n      <td>5684.3</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2021-05-28</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1159</td>\n      <td>0.0</td>\n      <td>5349.3</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1159.0</td>\n      <td>0.0</td>\n      <td>5349.3</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2021-05-29</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>998</td>\n      <td>0.0</td>\n      <td>4851.2</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>998.0</td>\n      <td>0.0</td>\n      <td>4851.2</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2021-05-30</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1033</td>\n      <td>0.0</td>\n      <td>4763.4</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1033.0</td>\n      <td>0.0</td>\n      <td>4763.4</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2021-05-31</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>909</td>\n      <td>0.0</td>\n      <td>4516.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>909.0</td>\n      <td>0.0</td>\n      <td>4516.5</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>151 rows × 22 columns</p>\n</div>"
-     },
-     "execution_count": 112,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": 64,
+   "outputs": [],
    "source": [
-    "pd.concat([xswx_daily_data, xswx_emiss_data_1, xswx_emiss_data_2], axis=1)"
+    "wxxs_save_data = pd.concat([xswx_daily_data, xswx_emiss_data_1, xswx_emiss_data_2], axis=1)\n",
+    "wxxs_save_data.index = wxxs_save_data.index.astype(str)"
    ],
    "metadata": {
     "collapsed": false,
@@ -400,13 +506,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 20,
    "outputs": [
     {
      "data": {
       "text/plain": "Index(['企业名称', '地址', '省份', '经度', '纬度', '机组数量', '单机容量（MW）', '生产设备类型',\n       '锅炉额定蒸发量 t/h ', '汽轮机类型', '压力参数', '冷却方式', '脱硝工艺', '脱硫工艺', '除尘工艺', '日期',\n       '机组编号', '投产日期', '燃料类型', '低位发热量（GJ/t）', '产灰量（吨）', '发电量（万千瓦时）', '供热量',\n       '产渣量', '机组运行时间', '发电煤耗（克/千瓦时）', '燃料消耗量（吨）', 'Unnamed: 27', '日期.1',\n       '机组编号.1', '投产日期.1', '燃料类型.1', '低位发热量（GJ/t）.1', '产灰量（吨）.1',\n       '发电量（万千瓦时）.1', '供热量.1', '产渣量.1', '机组运行时间.1', '发电煤耗（克/千瓦时）.1',\n       '燃料消耗量（吨）.1'],\n      dtype='object')"
      },
-     "execution_count": 114,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -424,7 +530,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 21,
    "outputs": [],
    "source": [
     "hddj_daily_1 = hddj_daily[['日期', '发电量（万千瓦时）', '供热量', '燃料消耗量（吨）']].copy()\n",
@@ -441,13 +547,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 22,
    "outputs": [
     {
      "data": {
       "text/plain": "DatetimeIndex(['2022-01-01', '2022-01-02', '2022-01-03', '2022-01-04',\n               '2022-01-05', '2022-01-06', '2022-01-07', '2022-01-08',\n               '2022-01-09', '2022-01-10', '2022-01-11', '2022-01-12',\n               '2022-01-13', '2022-01-14', '2022-01-15', '2022-01-16',\n               '2022-01-17', '2022-01-18', '2022-01-19', '2022-01-20',\n               '2022-01-21', '2022-01-22', '2022-01-23', '2022-01-24',\n               '2022-01-25', '2022-01-26', '2022-01-27', '2022-01-28',\n               '2022-01-29', '2022-01-30', '2022-01-31', '2022-02-01',\n               '2022-02-02', '2022-02-03', '2022-02-04', '2022-02-05',\n               '2022-02-06', '2022-02-07', '2022-02-08', '2022-02-09',\n               '2022-02-10', '2022-02-11', '2022-02-12', '2022-02-13',\n               '2022-02-14', '2022-02-15', '2022-02-16', '2022-02-17',\n               '2022-02-18', '2022-02-19', '2022-02-20', '2022-02-21',\n               '2022-02-22', '2022-02-23', '2022-02-24', '2022-02-25',\n               '2022-02-26', '2022-02-27', '2022-02-28'],\n              dtype='datetime64[ns]', freq='D')"
      },
-     "execution_count": 118,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -467,7 +573,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 23,
    "outputs": [],
    "source": [
     "hddj_daily_1 = hddj_daily_1.set_index('days').reindex(date_range).fillna(0)\n",
@@ -482,14 +588,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 24,
    "outputs": [
     {
      "data": {
       "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）\n2022-01-01       494.20      30829        2861\n2022-01-02       554.30      32122        2536\n2022-01-03       558.30      33451        2911\n2022-01-04       529.70      33179        3023\n2022-01-05       563.90      29731        3191\n2022-01-06       561.00      32505        3357\n2022-01-07       570.00      33189        3231\n2022-01-08       526.80      31881        2765\n2022-01-09       517.10      30799        2574\n2022-01-10       512.80      29277        2512\n2022-01-11       521.20      32460        2757\n2022-01-12       543.32      33593        3132\n2022-01-13       512.52      33326        2950\n2022-01-14       495.42      31417        2755\n2022-01-15       500.06      32434        2834\n2022-01-16       527.93      31986        3182\n2022-01-17       496.50      32268        3121\n2022-01-18       529.31      31814        3241\n2022-01-19       552.01      30414        3274\n2022-01-20       544.00      32416        3594\n2022-01-21       561.29      34300        3891\n2022-01-22       574.00      38342        4276\n2022-01-23       534.94      37444        3767\n2022-01-24       543.91      34539        3175\n2022-01-25       538.31      36753        3860\n2022-01-26       529.59      34148        3749\n2022-01-27       525.88      33630        3725\n2022-01-28       545.06      34181        3866\n2022-01-29       522.68      30637        3395\n2022-01-30       509.69      34254        3101\n2022-01-31       516.51      32145        2985\n2022-02-01       500.46      25687        2662\n2022-02-02       477.03      29061        2821\n2022-02-03       439.93      29598        2779\n2022-02-04       452.76      28709        2523\n2022-02-05       508.35      30133        2884\n2022-02-06       485.41      27635        2902\n2022-02-07       469.75      28259        2939\n2022-02-08       452.87      26685        2556\n2022-02-09       470.87      26037        2691\n2022-02-10       490.75      25530        2901\n2022-02-11       467.50      24359        2790\n2022-02-12       446.31      24180        2766\n2022-02-13       466.12      25274        3054\n2022-02-14       464.96      29338        2533\n2022-02-15       466.40      27394        2611\n2022-02-16       493.26      27639        2905\n2022-02-17       495.53      30228        2894\n2022-02-18       524.59      28126        3030\n2022-02-19       466.49      27575        2470\n2022-02-20       503.46      27424        2799\n2022-02-21       521.02      26965        3098\n2022-02-22       528.08      26886        3317\n2022-02-23       533.95      25022        3174\n2022-02-24       505.76      26727        3079\n2022-02-25       445.43      21930        2580\n2022-02-26       491.01      16645        2733\n2022-02-27       465.33      17884        2862\n2022-02-28       487.21      15457        3029",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-01-01</th>\n      <td>494.20</td>\n      <td>30829</td>\n      <td>2861</td>\n    </tr>\n    <tr>\n      <th>2022-01-02</th>\n      <td>554.30</td>\n      <td>32122</td>\n      <td>2536</td>\n    </tr>\n    <tr>\n      <th>2022-01-03</th>\n      <td>558.30</td>\n      <td>33451</td>\n      <td>2911</td>\n    </tr>\n    <tr>\n      <th>2022-01-04</th>\n      <td>529.70</td>\n      <td>33179</td>\n      <td>3023</td>\n    </tr>\n    <tr>\n      <th>2022-01-05</th>\n      <td>563.90</td>\n      <td>29731</td>\n      <td>3191</td>\n    </tr>\n    <tr>\n      <th>2022-01-06</th>\n      <td>561.00</td>\n      <td>32505</td>\n      <td>3357</td>\n    </tr>\n    <tr>\n      <th>2022-01-07</th>\n      <td>570.00</td>\n      <td>33189</td>\n      <td>3231</td>\n    </tr>\n    <tr>\n      <th>2022-01-08</th>\n      <td>526.80</td>\n      <td>31881</td>\n      <td>2765</td>\n    </tr>\n    <tr>\n      <th>2022-01-09</th>\n      <td>517.10</td>\n      <td>30799</td>\n      <td>2574</td>\n    </tr>\n    <tr>\n      <th>2022-01-10</th>\n      <td>512.80</td>\n      <td>29277</td>\n      <td>2512</td>\n    </tr>\n    <tr>\n      <th>2022-01-11</th>\n      <td>521.20</td>\n      <td>32460</td>\n      <td>2757</td>\n    </tr>\n    <tr>\n      <th>2022-01-12</th>\n      <td>543.32</td>\n      <td>33593</td>\n      <td>3132</td>\n    </tr>\n    <tr>\n      <th>2022-01-13</th>\n      <td>512.52</td>\n      <td>33326</td>\n      <td>2950</td>\n    </tr>\n    <tr>\n      <th>2022-01-14</th>\n      <td>495.42</td>\n      <td>31417</td>\n      <td>2755</td>\n    </tr>\n    <tr>\n      <th>2022-01-15</th>\n      <td>500.06</td>\n      <td>32434</td>\n      <td>2834</td>\n    </tr>\n    <tr>\n      <th>2022-01-16</th>\n      <td>527.93</td>\n      <td>31986</td>\n      <td>3182</td>\n    </tr>\n    <tr>\n      <th>2022-01-17</th>\n      <td>496.50</td>\n      <td>32268</td>\n      <td>3121</td>\n    </tr>\n    <tr>\n      <th>2022-01-18</th>\n      <td>529.31</td>\n      <td>31814</td>\n      <td>3241</td>\n    </tr>\n    <tr>\n      <th>2022-01-19</th>\n      <td>552.01</td>\n      <td>30414</td>\n      <td>3274</td>\n    </tr>\n    <tr>\n      <th>2022-01-20</th>\n      <td>544.00</td>\n      <td>32416</td>\n      <td>3594</td>\n    </tr>\n    <tr>\n      <th>2022-01-21</th>\n      <td>561.29</td>\n      <td>34300</td>\n      <td>3891</td>\n    </tr>\n    <tr>\n      <th>2022-01-22</th>\n      <td>574.00</td>\n      <td>38342</td>\n      <td>4276</td>\n    </tr>\n    <tr>\n      <th>2022-01-23</th>\n      <td>534.94</td>\n      <td>37444</td>\n      <td>3767</td>\n    </tr>\n    <tr>\n      <th>2022-01-24</th>\n      <td>543.91</td>\n      <td>34539</td>\n      <td>3175</td>\n    </tr>\n    <tr>\n      <th>2022-01-25</th>\n      <td>538.31</td>\n      <td>36753</td>\n      <td>3860</td>\n    </tr>\n    <tr>\n      <th>2022-01-26</th>\n      <td>529.59</td>\n      <td>34148</td>\n      <td>3749</td>\n    </tr>\n    <tr>\n      <th>2022-01-27</th>\n      <td>525.88</td>\n      <td>33630</td>\n      <td>3725</td>\n    </tr>\n    <tr>\n      <th>2022-01-28</th>\n      <td>545.06</td>\n      <td>34181</td>\n      <td>3866</td>\n    </tr>\n    <tr>\n      <th>2022-01-29</th>\n      <td>522.68</td>\n      <td>30637</td>\n      <td>3395</td>\n    </tr>\n    <tr>\n      <th>2022-01-30</th>\n      <td>509.69</td>\n      <td>34254</td>\n      <td>3101</td>\n    </tr>\n    <tr>\n      <th>2022-01-31</th>\n      <td>516.51</td>\n      <td>32145</td>\n      <td>2985</td>\n    </tr>\n    <tr>\n      <th>2022-02-01</th>\n      <td>500.46</td>\n      <td>25687</td>\n      <td>2662</td>\n    </tr>\n    <tr>\n      <th>2022-02-02</th>\n      <td>477.03</td>\n      <td>29061</td>\n      <td>2821</td>\n    </tr>\n    <tr>\n      <th>2022-02-03</th>\n      <td>439.93</td>\n      <td>29598</td>\n      <td>2779</td>\n    </tr>\n    <tr>\n      <th>2022-02-04</th>\n      <td>452.76</td>\n      <td>28709</td>\n      <td>2523</td>\n    </tr>\n    <tr>\n      <th>2022-02-05</th>\n      <td>508.35</td>\n      <td>30133</td>\n      <td>2884</td>\n    </tr>\n    <tr>\n      <th>2022-02-06</th>\n      <td>485.41</td>\n      <td>27635</td>\n      <td>2902</td>\n    </tr>\n    <tr>\n      <th>2022-02-07</th>\n      <td>469.75</td>\n      <td>28259</td>\n      <td>2939</td>\n    </tr>\n    <tr>\n      <th>2022-02-08</th>\n      <td>452.87</td>\n      <td>26685</td>\n      <td>2556</td>\n    </tr>\n    <tr>\n      <th>2022-02-09</th>\n      <td>470.87</td>\n      <td>26037</td>\n      <td>2691</td>\n    </tr>\n    <tr>\n      <th>2022-02-10</th>\n      <td>490.75</td>\n      <td>25530</td>\n      <td>2901</td>\n    </tr>\n    <tr>\n      <th>2022-02-11</th>\n      <td>467.50</td>\n      <td>24359</td>\n      <td>2790</td>\n    </tr>\n    <tr>\n      <th>2022-02-12</th>\n      <td>446.31</td>\n      <td>24180</td>\n      <td>2766</td>\n    </tr>\n    <tr>\n      <th>2022-02-13</th>\n      <td>466.12</td>\n      <td>25274</td>\n      <td>3054</td>\n    </tr>\n    <tr>\n      <th>2022-02-14</th>\n      <td>464.96</td>\n      <td>29338</td>\n      <td>2533</td>\n    </tr>\n    <tr>\n      <th>2022-02-15</th>\n      <td>466.40</td>\n      <td>27394</td>\n      <td>2611</td>\n    </tr>\n    <tr>\n      <th>2022-02-16</th>\n      <td>493.26</td>\n      <td>27639</td>\n      <td>2905</td>\n    </tr>\n    <tr>\n      <th>2022-02-17</th>\n      <td>495.53</td>\n      <td>30228</td>\n      <td>2894</td>\n    </tr>\n    <tr>\n      <th>2022-02-18</th>\n      <td>524.59</td>\n      <td>28126</td>\n      <td>3030</td>\n    </tr>\n    <tr>\n      <th>2022-02-19</th>\n      <td>466.49</td>\n      <td>27575</td>\n      <td>2470</td>\n    </tr>\n    <tr>\n      <th>2022-02-20</th>\n      <td>503.46</td>\n      <td>27424</td>\n      <td>2799</td>\n    </tr>\n    <tr>\n      <th>2022-02-21</th>\n      <td>521.02</td>\n      <td>26965</td>\n      <td>3098</td>\n    </tr>\n    <tr>\n      <th>2022-02-22</th>\n      <td>528.08</td>\n      <td>26886</td>\n      <td>3317</td>\n    </tr>\n    <tr>\n      <th>2022-02-23</th>\n      <td>533.95</td>\n      <td>25022</td>\n      <td>3174</td>\n    </tr>\n    <tr>\n      <th>2022-02-24</th>\n      <td>505.76</td>\n      <td>26727</td>\n      <td>3079</td>\n    </tr>\n    <tr>\n      <th>2022-02-25</th>\n      <td>445.43</td>\n      <td>21930</td>\n      <td>2580</td>\n    </tr>\n    <tr>\n      <th>2022-02-26</th>\n      <td>491.01</td>\n      <td>16645</td>\n      <td>2733</td>\n    </tr>\n    <tr>\n      <th>2022-02-27</th>\n      <td>465.33</td>\n      <td>17884</td>\n      <td>2862</td>\n    </tr>\n    <tr>\n      <th>2022-02-28</th>\n      <td>487.21</td>\n      <td>15457</td>\n      <td>3029</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 120,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -506,7 +612,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 25,
    "outputs": [],
    "source": [
     "hddj_daily_data = pd.concat([hddj_daily_1, hddj_daily_2], axis=1)"
@@ -520,19 +626,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 26,
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Index(['时间', '企业名称', '监测点', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n",
-      "       '烟尘浓度(mg/m3)', '含氧量（%）', '温度（℃）', '烟气湿度（%）', '烟气压力（千帕）', '烟气流速（m/s）',\n",
-      "       '状态', 'Unnamed: 13', '时间.1', '企业名称.1', '监测点.1', '流量 （m3/h）.1',\n",
-      "       'NOx浓度(mg/m3).1', 'SO2浓度(mg/m3).1', '烟尘浓度(mg/m3).1', '含氧量（%）.1',\n",
-      "       '温度（℃）.1', '烟气湿度（%）.1', '烟气压力（千帕）.1', '烟气流速（m/s）.1', '状态.1'],\n",
-      "      dtype='object')\n"
-     ]
+     "data": {
+      "text/plain": "Index(['时间', '企业名称', '监测点', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n       '烟尘浓度(mg/m3)', '含氧量（%）', '温度（℃）', '烟气湿度（%）', '烟气压力（千帕）', '烟气流速（m/s）',\n       '状态', 'Unnamed: 13', '时间.1', '企业名称.1', '监测点.1', '流量 （m3/h）.1',\n       'NOx浓度(mg/m3).1', 'SO2浓度(mg/m3).1', '烟尘浓度(mg/m3).1', '含氧量（%）.1',\n       '温度（℃）.1', '烟气湿度（%）.1', '烟气压力（千帕）.1', '烟气流速（m/s）.1', '状态.1'],\n      dtype='object')"
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -548,14 +650,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 27,
    "outputs": [
     {
      "data": {
-      "text/plain": "                   时间              企业名称               监测点  流量 （m3/h）  \\\n0 2022-01-01 00:00:00  国电电力邯郸东郊热电有限责任公司  1号机组排口DA002（DCS）   930582.0   \n1 2022-01-01 01:00:00  国电电力邯郸东郊热电有限责任公司  1号机组排口DA002（DCS）   891316.8   \n\n   NOx浓度(mg/m3)  SO2浓度(mg/m3)  烟尘浓度(mg/m3) 含氧量（%）   温度（℃）  烟气湿度（%）  ...  \\\n0        13.379        13.158        3.438  6.435  48.604   14.695  ...   \n1        19.312        17.951        2.798  7.164  47.819   14.156  ...   \n\n   流量 （m3/h）.1  NOx浓度(mg/m3).1 SO2浓度(mg/m3).1  烟尘浓度(mg/m3).1 含氧量（%）.1 温度（℃）.1  \\\n0    1111474.8          18.171         18.171          0.476    7.065  48.307   \n1    1103194.8          20.524         22.773          0.479    7.130  48.887   \n\n  烟气湿度（%）.1  烟气压力（千帕）.1  烟气流速（m/s）.1  状态.1  \n0    13.253      -0.012       13.693    停运  \n1    13.734      -0.021       13.691    停运  \n\n[2 rows x 27 columns]",
+      "text/plain": "                   时间              企业名称               监测点  流量 （m3/h）  \\\n0 2022-01-01 00:00:00  国电电力邯郸东郊热电有限责任公司  1号机组排口DA002（DCS）   930582.0   \n1 2022-01-01 01:00:00  国电电力邯郸东郊热电有限责任公司  1号机组排口DA002（DCS）   891316.8   \n\n   NOx浓度(mg/m3)  SO2浓度(mg/m3)  烟尘浓度(mg/m3)  含氧量（%）   温度（℃）  烟气湿度（%）  ...  \\\n0        13.379        13.158        3.438   6.435  48.604   14.695  ...   \n1        19.312        17.951        2.798   7.164  47.819   14.156  ...   \n\n   流量 （m3/h）.1  NOx浓度(mg/m3).1 SO2浓度(mg/m3).1  烟尘浓度(mg/m3).1 含氧量（%）.1 温度（℃）.1  \\\n0    1111474.8          18.171         18.171          0.476    7.065  48.307   \n1    1103194.8          20.524         22.773          0.479    7.130  48.887   \n\n  烟气湿度（%）.1  烟气压力（千帕）.1  烟气流速（m/s）.1  状态.1  \n0    13.253      -0.012       13.693    停运  \n1    13.734      -0.021       13.691    停运  \n\n[2 rows x 27 columns]",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>时间</th>\n      <th>企业名称</th>\n      <th>监测点</th>\n      <th>流量 （m3/h）</th>\n      <th>NOx浓度(mg/m3)</th>\n      <th>SO2浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>含氧量（%）</th>\n      <th>温度（℃）</th>\n      <th>烟气湿度（%）</th>\n      <th>...</th>\n      <th>流量 （m3/h）.1</th>\n      <th>NOx浓度(mg/m3).1</th>\n      <th>SO2浓度(mg/m3).1</th>\n      <th>烟尘浓度(mg/m3).1</th>\n      <th>含氧量（%）.1</th>\n      <th>温度（℃）.1</th>\n      <th>烟气湿度（%）.1</th>\n      <th>烟气压力（千帕）.1</th>\n      <th>烟气流速（m/s）.1</th>\n      <th>状态.1</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-01-01 00:00:00</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1号机组排口DA002（DCS）</td>\n      <td>930582.0</td>\n      <td>13.379</td>\n      <td>13.158</td>\n      <td>3.438</td>\n      <td>6.435</td>\n      <td>48.604</td>\n      <td>14.695</td>\n      <td>...</td>\n      <td>1111474.8</td>\n      <td>18.171</td>\n      <td>18.171</td>\n      <td>0.476</td>\n      <td>7.065</td>\n      <td>48.307</td>\n      <td>13.253</td>\n      <td>-0.012</td>\n      <td>13.693</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-01-01 01:00:00</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1号机组排口DA002（DCS）</td>\n      <td>891316.8</td>\n      <td>19.312</td>\n      <td>17.951</td>\n      <td>2.798</td>\n      <td>7.164</td>\n      <td>47.819</td>\n      <td>14.156</td>\n      <td>...</td>\n      <td>1103194.8</td>\n      <td>20.524</td>\n      <td>22.773</td>\n      <td>0.479</td>\n      <td>7.130</td>\n      <td>48.887</td>\n      <td>13.734</td>\n      <td>-0.021</td>\n      <td>13.691</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n<p>2 rows × 27 columns</p>\n</div>"
      },
-     "execution_count": 127,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -572,7 +674,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 28,
    "outputs": [],
    "source": [
     "hddj_emiss_data_1 = hddj_emiss_data[['时间', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n",
@@ -591,7 +693,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 29,
    "outputs": [],
    "source": [
     "hddj_emiss_data_1.columns = ['date'] + hddj_emiss_data_1.columns[1:].tolist()\n",
@@ -606,11 +708,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 30,
    "outputs": [],
    "source": [
-    "hddj_emiss_data_1.columns = [f'机组1_{x}' for x in hddj_emiss_data_1.columns]\n",
-    "hddj_emiss_data_2.columns = [f'机组2_{x}' for x in hddj_emiss_data_2.columns]"
+    "hddj_emiss_data_1['days'] = hddj_emiss_data_1.date.apply(lambda x: str(x).split(' ')[0])\n",
+    "hddj_emiss_data_2['days'] = hddj_emiss_data_2.date.apply(lambda x: str(x).split(' ')[0])"
    ],
    "metadata": {
     "collapsed": false,
@@ -621,20 +723,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 31,
+   "outputs": [],
+   "source": [
+    "num_cols = hddj_emiss_data_1.columns[1:-2]\n",
+    "hddj_emiss_daily_1 = hddj_emiss_data_1.ffill().groupby('days')[num_cols].mean()\n",
+    "hddj_emiss_daily_1['状态'] = '正常运行'\n",
+    "hddj_emiss_daily_1.columns = [f\"机组1_{x}\" for x in hddj_emiss_daily_1.columns]\n",
+    "hddj_emiss_daily_2 = hddj_emiss_data_2.ffill().groupby('days')[num_cols].mean()\n",
+    "hddj_emiss_daily_2['状态'] = '正常运行'\n",
+    "hddj_emiss_daily_2.columns = [f\"机组2_{x}\" for x in hddj_emiss_daily_2.columns]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "outputs": [],
+   "source": [
+    "hddj_daily_data.index = hddj_daily_data.index.astype(str)\n",
+    "hddj_daily_data['企业名称'] = \"国电电力邯郸东郊热电有限责任公司\""
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
    "outputs": [
     {
      "data": {
-      "text/plain": "                机组2_date  机组2_流量 （m3/h）  机组2_NOx浓度(mg/m3)  机组2_SO2浓度(mg/m3)  \\\n0    2022-01-01 00:00:00      1111474.8            18.171            18.171   \n1    2022-01-01 01:00:00      1103194.8            20.524            22.773   \n2    2022-01-01 02:00:00      1086537.6            14.074            16.777   \n3    2022-01-01 03:00:00      1076364.0            18.024            17.549   \n4    2022-01-01 04:00:00      1066298.4            16.406            18.709   \n...                  ...            ...               ...               ...   \n1411 2022-02-28 19:00:00       960645.6            11.857            17.406   \n1412 2022-02-28 20:00:00      1014156.0            19.930            19.709   \n1413 2022-02-28 21:00:00       967834.8            19.400            19.780   \n1414 2022-02-28 22:00:00      1014112.8            16.875            20.308   \n1415 2022-02-28 23:00:00      1013400.0            16.565            16.111   \n\n      机组2_烟尘浓度(mg/m3)  机组2_含氧量（%）  机组2_温度（℃）  机组2_烟气湿度（%）  机组2_烟气压力（千帕）  \\\n0               0.476       7.065     48.307       13.253        -0.012   \n1               0.479       7.130     48.887       13.734        -0.021   \n2               0.490       7.398     48.794       13.674        -0.026   \n3               0.481       7.694     48.866       13.691        -0.025   \n4               0.475       7.770     48.090       13.093        -0.022   \n...               ...         ...        ...          ...           ...   \n1411            0.415       7.353     48.755       14.155        -0.009   \n1412            0.420       7.532     48.974       13.962         0.007   \n1413            0.450       7.840     49.538       14.562         0.000   \n1414            0.432       7.822     48.593       13.728         0.013   \n1415            0.607       7.941     48.373       13.500         0.005   \n\n      机组2_烟气流速（m/s） 机组2_状态  \n0            13.693     停运  \n1            13.691     停运  \n2            13.470     停运  \n3            13.351     停运  \n4            13.103     停运  \n...             ...    ...  \n1411         11.975    NaN  \n1412         12.621    NaN  \n1413         12.148    NaN  \n1414         12.570    NaN  \n1415         12.515    NaN  \n\n[1416 rows x 11 columns]",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>机组2_date</th>\n      <th>机组2_流量 （m3/h）</th>\n      <th>机组2_NOx浓度(mg/m3)</th>\n      <th>机组2_SO2浓度(mg/m3)</th>\n      <th>机组2_烟尘浓度(mg/m3)</th>\n      <th>机组2_含氧量（%）</th>\n      <th>机组2_温度（℃）</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气压力（千帕）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-01-01 00:00:00</td>\n      <td>1111474.8</td>\n      <td>18.171</td>\n      <td>18.171</td>\n      <td>0.476</td>\n      <td>7.065</td>\n      <td>48.307</td>\n      <td>13.253</td>\n      <td>-0.012</td>\n      <td>13.693</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-01-01 01:00:00</td>\n      <td>1103194.8</td>\n      <td>20.524</td>\n      <td>22.773</td>\n      <td>0.479</td>\n      <td>7.130</td>\n      <td>48.887</td>\n      <td>13.734</td>\n      <td>-0.021</td>\n      <td>13.691</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-01-01 02:00:00</td>\n      <td>1086537.6</td>\n      <td>14.074</td>\n      <td>16.777</td>\n      <td>0.490</td>\n      <td>7.398</td>\n      <td>48.794</td>\n      <td>13.674</td>\n      <td>-0.026</td>\n      <td>13.470</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-01-01 03:00:00</td>\n      <td>1076364.0</td>\n      <td>18.024</td>\n      <td>17.549</td>\n      <td>0.481</td>\n      <td>7.694</td>\n      <td>48.866</td>\n      <td>13.691</td>\n      <td>-0.025</td>\n      <td>13.351</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-01-01 04:00:00</td>\n      <td>1066298.4</td>\n      <td>16.406</td>\n      <td>18.709</td>\n      <td>0.475</td>\n      <td>7.770</td>\n      <td>48.090</td>\n      <td>13.093</td>\n      <td>-0.022</td>\n      <td>13.103</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1411</th>\n      <td>2022-02-28 19:00:00</td>\n      <td>960645.6</td>\n      <td>11.857</td>\n      <td>17.406</td>\n      <td>0.415</td>\n      <td>7.353</td>\n      <td>48.755</td>\n      <td>14.155</td>\n      <td>-0.009</td>\n      <td>11.975</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1412</th>\n      <td>2022-02-28 20:00:00</td>\n      <td>1014156.0</td>\n      <td>19.930</td>\n      <td>19.709</td>\n      <td>0.420</td>\n      <td>7.532</td>\n      <td>48.974</td>\n      <td>13.962</td>\n      <td>0.007</td>\n      <td>12.621</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1413</th>\n      <td>2022-02-28 21:00:00</td>\n      <td>967834.8</td>\n      <td>19.400</td>\n      <td>19.780</td>\n      <td>0.450</td>\n      <td>7.840</td>\n      <td>49.538</td>\n      <td>14.562</td>\n      <td>0.000</td>\n      <td>12.148</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1414</th>\n      <td>2022-02-28 22:00:00</td>\n      <td>1014112.8</td>\n      <td>16.875</td>\n      <td>20.308</td>\n      <td>0.432</td>\n      <td>7.822</td>\n      <td>48.593</td>\n      <td>13.728</td>\n      <td>0.013</td>\n      <td>12.570</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1415</th>\n      <td>2022-02-28 23:00:00</td>\n      <td>1013400.0</td>\n      <td>16.565</td>\n      <td>16.111</td>\n      <td>0.607</td>\n      <td>7.941</td>\n      <td>48.373</td>\n      <td>13.500</td>\n      <td>0.005</td>\n      <td>12.515</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>1416 rows × 11 columns</p>\n</div>"
+      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2022-01-01       494.20      30829        2861       536.50        324   \n2022-01-02       554.30      32122        2536       567.90       1008   \n2022-01-03       558.30      33451        2911       566.20       1296   \n2022-01-04       529.70      33179        3023       563.50       1248   \n2022-01-05       563.90      29731        3191       609.30       1362   \n2022-01-06       561.00      32505        3357       577.20       1236   \n2022-01-07       570.00      33189        3231       579.00       1035   \n2022-01-08       526.80      31881        2765       542.90       1323   \n2022-01-09       517.10      30799        2574       538.90       1305   \n2022-01-10       512.80      29277        2512       483.40       1335   \n2022-01-11       521.20      32460        2757       536.10       1299   \n2022-01-12       543.32      33593        3132       558.85       1368   \n2022-01-13       512.52      33326        2950       527.32       1398   \n2022-01-14       495.42      31417        2755       512.83       1536   \n2022-01-15       500.06      32434        2834       517.19       1242   \n2022-01-16       527.93      31986        3182       542.34       1116   \n2022-01-17       496.50      32268        3121       513.14       1362   \n2022-01-18       529.31      31814        3241       544.11       1305   \n2022-01-19       552.01      30414        3274       565.96       1161   \n2022-01-20       544.00      32416        3594       581.34       1329   \n2022-01-21       561.29      34300        3891       617.18       1383   \n2022-01-22       574.00      38342        4276       585.25       1368   \n2022-01-23       534.94      37444        3767       550.24       1242   \n2022-01-24       543.91      34539        3175       550.61       1362   \n2022-01-25       538.31      36753        3860       551.21       1131   \n2022-01-26       529.59      34148        3749       545.59        891   \n2022-01-27       525.88      33630        3725       537.33        777   \n2022-01-28       545.06      34181        3866       554.88        558   \n2022-01-29       522.68      30637        3395       544.47        399   \n2022-01-30       509.69      34254        3101       526.92        258   \n2022-01-31       516.51      32145        2985       528.13        210   \n2022-02-01       500.46      25687        2662       543.60        207   \n2022-02-02       477.03      29061        2821       534.40        186   \n2022-02-03       439.93      29598        2779       494.86        204   \n2022-02-04       452.76      28709        2523       493.99        282   \n2022-02-05       508.35      30133        2884       521.49        285   \n2022-02-06       485.41      27635        2902       503.13        363   \n2022-02-07       469.75      28259        2939       484.85        363   \n2022-02-08       452.87      26685        2556       481.92        603   \n2022-02-09       470.87      26037        2691       488.17        681   \n2022-02-10       490.75      25530        2901       508.89        591   \n2022-02-11       467.50      24359        2790       497.45        735   \n2022-02-12       446.31      24180        2766       474.04        621   \n2022-02-13       466.12      25274        3054       491.41        594   \n2022-02-14       464.96      29338        2533       491.96        651   \n2022-02-15       466.40      27394        2611       444.04        474   \n2022-02-16       493.26      27639        2905       420.10       1074   \n2022-02-17       495.53      30228        2894       469.32       1362   \n2022-02-18       524.59      28126        3030       531.28       1413   \n2022-02-19       466.49      27575        2470       497.11       1317   \n2022-02-20       503.46      27424        2799       460.91       1281   \n2022-02-21       521.02      26965        3098       482.89       1317   \n2022-02-22       528.08      26886        3317       490.45       1314   \n2022-02-23       533.95      25022        3174       494.54       1407   \n2022-02-24       505.76      26727        3079       527.43       1200   \n2022-02-25       445.43      21930        2580       473.06       1368   \n2022-02-26       491.01      16645        2733       509.18       1341   \n2022-02-27       465.33      17884        2862       500.18       1269   \n2022-02-28       487.21      15457        3029       497.76       1236   \n\n            燃料消耗量_2（吨）              企业名称  机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  \\\n2022-01-01        2752  国电电力邯郸东郊热电有限责任公司      941229.60         18.200375   \n2022-01-02        3086  国电电力邯郸东郊热电有限责任公司      992216.10         19.536458   \n2022-01-03        2914  国电电力邯郸东郊热电有限责任公司     1016053.05         20.577917   \n2022-01-04        2847  国电电力邯郸东郊热电有限责任公司      979135.35         20.397917   \n2022-01-05        3014  国电电力邯郸东郊热电有限责任公司      996159.15         17.955417   \n2022-01-06        3353  国电电力邯郸东郊热电有限责任公司      970119.15         20.292250   \n2022-01-07        3252  国电电力邯郸东郊热电有限责任公司      998681.85         18.996333   \n2022-01-08        2548  国电电力邯郸东郊热电有限责任公司      974497.65         19.103583   \n2022-01-09        2394  国电电力邯郸东郊热电有限责任公司      957560.55         19.974542   \n2022-01-10        2303  国电电力邯郸东郊热电有限责任公司      956263.20         20.450042   \n2022-01-11        2819  国电电力邯郸东郊热电有限责任公司      955973.40         18.979875   \n2022-01-12        2612  国电电力邯郸东郊热电有限责任公司      987528.75         18.116542   \n2022-01-13        2820  国电电力邯郸东郊热电有限责任公司      971672.85         18.861125   \n2022-01-14        2820  国电电力邯郸东郊热电有限责任公司      956458.65         18.336958   \n2022-01-15        2986  国电电力邯郸东郊热电有限责任公司      950168.55         20.059333   \n2022-01-16        3132  国电电力邯郸东郊热电有限责任公司      973078.80         19.974500   \n2022-01-17        2912  国电电力邯郸东郊热电有限责任公司      956802.15         18.879083   \n2022-01-18        3070  国电电力邯郸东郊热电有限责任公司      991453.20         20.236625   \n2022-01-19        3297  国电电力邯郸东郊热电有限责任公司      991811.85         20.144542   \n2022-01-20        3359  国电电力邯郸东郊热电有限责任公司     1005389.55         19.532208   \n2022-01-21        4019  国电电力邯郸东郊热电有限责任公司     1028425.05         19.846833   \n2022-01-22        3923  国电电力邯郸东郊热电有限责任公司     1030724.40         20.398667   \n2022-01-23        3743  国电电力邯郸东郊热电有限责任公司      685315.05         20.195708   \n2022-01-24        3852  国电电力邯郸东郊热电有限责任公司      747819.00         19.783167   \n2022-01-25        3621  国电电力邯郸东郊热电有限责任公司      981332.25         20.899917   \n2022-01-26        3735  国电电力邯郸东郊热电有限责任公司      973191.45         19.605917   \n2022-01-27        3446  国电电力邯郸东郊热电有限责任公司      976386.90         21.139042   \n2022-01-28        3721  国电电力邯郸东郊热电有限责任公司      995228.10         20.381167   \n2022-01-29        3142  国电电力邯郸东郊热电有限责任公司      967837.80         20.602667   \n2022-01-30        2820  国电电力邯郸东郊热电有限责任公司      959857.95         22.424542   \n2022-01-31        2966  国电电力邯郸东郊热电有限责任公司      982636.80         22.933250   \n2022-02-01        2895  国电电力邯郸东郊热电有限责任公司      958825.35         18.983458   \n2022-02-02        2930  国电电力邯郸东郊热电有限责任公司      935412.75         19.692250   \n2022-02-03        2937  国电电力邯郸东郊热电有限责任公司      908839.35         20.232167   \n2022-02-04        2867  国电电力邯郸东郊热电有限责任公司      911025.60         18.351792   \n2022-02-05        2916  国电电力邯郸东郊热电有限责任公司      920823.45         19.440333   \n2022-02-06        2947  国电电力邯郸东郊热电有限责任公司      916121.70         18.340417   \n2022-02-07        2754  国电电力邯郸东郊热电有限责任公司      917169.90         18.995583   \n2022-02-08        2485  国电电力邯郸东郊热电有限责任公司      886401.60         20.192167   \n2022-02-09        2834  国电电力邯郸东郊热电有限责任公司      906835.80         19.853292   \n2022-02-10        3172  国电电力邯郸东郊热电有限责任公司      928945.80         19.825792   \n2022-02-11        2835  国电电力邯郸东郊热电有限责任公司      885137.40         20.022458   \n2022-02-12        2787  国电电力邯郸东郊热电有限责任公司      878793.15         19.901583   \n2022-02-13        2915  国电电力邯郸东郊热电有限责任公司      904216.50         19.563583   \n2022-02-14        2555  国电电力邯郸东郊热电有限责任公司      898221.45         19.591208   \n2022-02-15        2447  国电电力邯郸东郊热电有限责任公司      898496.85         20.304208   \n2022-02-16        2350  国电电力邯郸东郊热电有限责任公司      930371.55         19.781625   \n2022-02-17        2623  国电电力邯郸东郊热电有限责任公司      924087.90         20.751667   \n2022-02-18        2724  国电电力邯郸东郊热电有限责任公司      943475.55         17.547500   \n2022-02-19        2409  国电电力邯郸东郊热电有限责任公司      927422.25         16.901125   \n2022-02-20        2916  国电电力邯郸东郊热电有限责任公司      956680.50         17.790792   \n2022-02-21        2996  国电电力邯郸东郊热电有限责任公司      948743.85         20.735625   \n2022-02-22        3209  国电电力邯郸东郊热电有限责任公司      960633.00         20.336125   \n2022-02-23        2868  国电电力邯郸东郊热电有限责任公司      962487.30         14.817583   \n2022-02-24        2921  国电电力邯郸东郊热电有限责任公司      923360.40         12.179875   \n2022-02-25        2584  国电电力邯郸东郊热电有限责任公司      860085.15         10.475958   \n2022-02-26        2545  国电电力邯郸东郊热电有限责任公司      902073.30         16.492917   \n2022-02-27        2825  国电电力邯郸东郊热电有限责任公司      873491.25         19.575875   \n2022-02-28        2632  国电电力邯郸东郊热电有限责任公司      873223.80         19.886042   \n\n            机组1_SO2浓度(mg/m3)  ...  机组2_流量 （m3/h）  机组2_NOx浓度(mg/m3)  \\\n2022-01-01         18.165208  ...     1095004.20         19.098625   \n2022-01-02         18.721167  ...     1113858.45         20.497292   \n2022-01-03         16.690083  ...     1111516.35         19.519958   \n2022-01-04         15.546958  ...     1112429.55         17.986042   \n2022-01-05         14.888333  ...     1141153.80         18.756125   \n2022-01-06         13.671917  ...     1112256.75         17.648125   \n2022-01-07         14.894875  ...     1113637.65         18.144083   \n2022-01-08         16.130625  ...     1092330.60         17.743625   \n2022-01-09         13.766125  ...     1083863.40         17.620958   \n2022-01-10         15.530625  ...     1037804.40         17.968750   \n2022-01-11         14.161208  ...     1084317.30         17.114042   \n2022-01-12         11.636042  ...     1094112.45         17.645292   \n2022-01-13         13.701250  ...     1072833.30         18.238292   \n2022-01-14         12.812500  ...     1066098.60         17.308125   \n2022-01-15         12.266542  ...     1075279.95         18.627792   \n2022-01-16         14.186208  ...     1090436.85         16.915625   \n2022-01-17         13.058542  ...     1064488.95         18.095833   \n2022-01-18         15.996250  ...     1092306.45         18.965000   \n2022-01-19         14.782958  ...     1087070.70         19.335167   \n2022-01-20         15.500333  ...     1113286.95         18.942125   \n2022-01-21         15.057042  ...     1150941.60         18.483375   \n2022-01-22         15.060083  ...     1115300.25         18.465542   \n2022-01-23         13.737458  ...     1102247.70         18.294292   \n2022-01-24         13.516667  ...     1098705.00         17.310875   \n2022-01-25         17.045250  ...     1110458.10         17.740417   \n2022-01-26         15.363083  ...     1098819.75         18.230167   \n2022-01-27         16.053542  ...     1079510.70         17.716750   \n2022-01-28         17.793375  ...     1093401.60         18.939708   \n2022-01-29         15.591625  ...     1083312.90         19.393750   \n2022-01-30         21.170125  ...     1077400.95         20.856208   \n2022-01-31         18.113667  ...     1081850.55         20.094917   \n2022-02-01         16.199000  ...     1089026.85         20.805875   \n2022-02-02         15.898208  ...     1089972.75         19.052292   \n2022-02-03         14.801333  ...     1060159.80         19.806708   \n2022-02-04         14.603708  ...     1059162.90         17.241125   \n2022-02-05         14.161000  ...     1084824.90         17.398917   \n2022-02-06         14.278167  ...     1059457.95         15.366292   \n2022-02-07         15.024875  ...     1046341.05         18.485042   \n2022-02-08         14.818625  ...     1036790.55         18.849500   \n2022-02-09         14.572875  ...     1038851.70         17.988792   \n2022-02-10         15.346833  ...     1062997.35         17.954583   \n2022-02-11         15.645167  ...     1059613.65         17.185792   \n2022-02-12         11.658667  ...     1043504.40         18.584083   \n2022-02-13         14.393250  ...     1061035.50         19.747500   \n2022-02-14         16.393500  ...     1059337.20         19.648167   \n2022-02-15         15.477375  ...     1021689.15         18.697583   \n2022-02-16         13.623167  ...      991069.20         16.822500   \n2022-02-17         16.294000  ...     1039439.10         19.709708   \n2022-02-18         15.684250  ...     1088419.20         17.534083   \n2022-02-19         14.059042  ...     1065218.70         17.390458   \n2022-02-20         14.316042  ...     1079138.85         18.781292   \n2022-02-21         13.478583  ...     1083679.50         19.196333   \n2022-02-22         17.093583  ...     1082105.40         19.493083   \n2022-02-23         12.260375  ...     1071494.25         16.403542   \n2022-02-24          8.796875  ...     1059437.85         14.083875   \n2022-02-25          6.187042  ...     1024307.10         12.822500   \n2022-02-26          9.615208  ...     1037322.30         16.268375   \n2022-02-27         18.428667  ...     1035227.55         19.332083   \n2022-02-28         17.970458  ...     1027222.05         19.495750   \n\n            机组2_SO2浓度(mg/m3)  机组2_烟尘浓度(mg/m3)  机组2_含氧量（%）  机组2_温度（℃）  \\\n2022-01-01         16.495917         0.477167    7.384167  49.570583   \n2022-01-02         15.455208         0.453042    6.918208  48.557083   \n2022-01-03         15.434792         0.459625    7.142917  49.184958   \n2022-01-04         13.265125         0.464458    7.163542  49.099500   \n2022-01-05         14.446000         0.487458    6.975583  49.745875   \n2022-01-06          9.985417         0.552083    7.258000  50.724417   \n2022-01-07         14.375125         0.531500    7.082708  50.259708   \n2022-01-08         15.234625         0.502833    7.209167  49.827500   \n2022-01-09         13.893542         0.565583    7.215167  49.601458   \n2022-01-10         12.740167         0.514167    7.948000  49.459583   \n2022-01-11         11.562042         0.526583    7.341083  50.172417   \n2022-01-12         11.908917         0.523000    7.001083  49.564167   \n2022-01-13         11.256125         0.487292    7.163792  49.767583   \n2022-01-14         11.162625         0.478542    7.419292  49.618292   \n2022-01-15         13.612458         0.497458    7.446625  49.474000   \n2022-01-16         12.755250         0.442083    7.392500  49.458458   \n2022-01-17         11.811625         0.488917    7.067125  49.127708   \n2022-01-18         14.870083         0.492542    7.034500  49.347542   \n2022-01-19         14.736000         0.494667    7.120333  50.075542   \n2022-01-20         15.420750         0.440667    7.128083  49.868583   \n2022-01-21         13.172750         0.490542    6.855500  50.414417   \n2022-01-22         14.323500         0.540750    6.913500  50.396083   \n2022-01-23         13.573833         0.561625    7.263125  49.926292   \n2022-01-24         14.138333         0.523708    7.422375  49.522792   \n2022-01-25         15.157083         0.548583    7.225333  49.643167   \n2022-01-26         13.962875         0.529250    7.353625  49.324125   \n2022-01-27         14.416917         0.446208    7.150917  49.165083   \n2022-01-28         16.025875         0.442833    6.876500  49.420125   \n2022-01-29         15.589125         0.495917    7.114250  49.561625   \n2022-01-30         19.920417         0.505208    7.135000  49.392292   \n2022-01-31         18.052333         0.477458    7.262000  48.929000   \n2022-02-01         17.409333         0.419625    6.965333  48.865042   \n2022-02-02         15.773458         0.413333    7.029000  49.367125   \n2022-02-03         15.555333         0.420792    7.337792  48.929583   \n2022-02-04         14.201500         0.426000    7.606125  48.940875   \n2022-02-05         13.958750         0.417125    7.327083  49.117375   \n2022-02-06         14.157000         0.412875    7.405000  49.008958   \n2022-02-07         14.790833         0.411958    7.544167  48.647417   \n2022-02-08         13.748292         0.409208    7.437333  48.806583   \n2022-02-09         14.982000         0.413333    7.305083  49.236333   \n2022-02-10         14.905292         0.439542    7.322958  49.126708   \n2022-02-11         15.418750         0.431875    7.399125  49.408708   \n2022-02-12         11.594583         0.440250    7.651625  49.116458   \n2022-02-13         14.760208         0.450958    7.574292  49.781083   \n2022-02-14         15.406917         0.424833    7.482917  49.330375   \n2022-02-15         13.850625         0.418458    7.849917  49.334625   \n2022-02-16         12.883958         0.418792    7.987792  49.201917   \n2022-02-17         14.789000         0.391833    7.572167  49.359500   \n2022-02-18         15.288667         0.413625    7.403667  49.193625   \n2022-02-19         14.100208         0.411917    7.867083  48.750417   \n2022-02-20         14.185750         0.417083    7.481667  49.719708   \n2022-02-21         13.091000         0.420542    7.096250  49.336583   \n2022-02-22         15.314375         0.407500    7.471250  49.393917   \n2022-02-23         11.103458         0.416125    7.264125  49.460667   \n2022-02-24          6.978250         0.421917    7.268875  49.327667   \n2022-02-25          7.001375         0.403125    7.359417  48.764042   \n2022-02-26          8.824500         0.417542    7.432958  48.933458   \n2022-02-27         17.331167         0.350625    7.471875  48.993042   \n2022-02-28         18.255167         0.358292    7.451500  49.359958   \n\n           机组2_烟气湿度（%）  机组2_烟气压力（千帕）  机组2_烟气流速（m/s）  机组2_状态  \n2022-01-01   14.332542     -0.001208      13.711958    正常运行  \n2022-01-02   13.511000     -0.004167      13.774167    正常运行  \n2022-01-03   13.971208     -0.003500      13.844875    正常运行  \n2022-01-04   13.916375     -0.008208      13.842125    正常运行  \n2022-01-05   14.428917      0.005875      14.311083    正常运行  \n2022-01-06   15.268208     -0.000167      14.131583    正常运行  \n2022-01-07   14.889875     -0.003833      14.068833    正常运行  \n2022-01-08   14.535917      0.001125      13.726083    正常运行  \n2022-01-09   14.305000     -0.008500      13.569167    正常运行  \n2022-01-10   14.191625     -0.030583      12.975792    正常运行  \n2022-01-11   14.764958     -0.029042      13.674167    正常运行  \n2022-01-12   14.263000     -0.015208      13.690458    正常运行  \n2022-01-13   14.442958     -0.022458      13.463542    正常运行  \n2022-01-14   14.328583     -0.026708      13.353708    正常运行  \n2022-01-15   14.199875     -0.017833      13.440708    正常运行  \n2022-01-16   14.185542     -0.014458      13.628750    正常运行  \n2022-01-17   13.929958     -0.020917      13.250917    正常运行  \n2022-01-18   14.144208     -0.004125      13.642042    正常运行  \n2022-01-19   14.787958     -0.029292      13.718750    正常运行  \n2022-01-20   14.510042     -0.025833      13.986250    正常运行  \n2022-01-21   14.936792     -0.005083      14.560750    正常运行  \n2022-01-22   15.098875     -0.022167      14.133250    正常运行  \n2022-01-23   14.761500     -0.027958      13.891958    正常运行  \n2022-01-24   14.277750     -0.015417      13.751458    正常运行  \n2022-01-25   14.441208     -0.008750      13.930542    正常运行  \n2022-01-26   14.133625     -0.019167      13.717375    正常运行  \n2022-01-27   13.993833     -0.019167      13.451958    正常运行  \n2022-01-28   14.186417     -0.007375      13.664208    正常运行  \n2022-01-29   14.288167     -0.012125      13.557125    正常运行  \n2022-01-30   14.165333     -0.019083      13.457583    正常运行  \n2022-01-31   13.787333     -0.011708      13.436125    正常运行  \n2022-02-01   13.722667     -0.020083      13.511750    正常运行  \n2022-02-02   14.131875     -0.013042      13.611125    正常运行  \n2022-02-03   13.783458     -0.020375      13.166667    正常运行  \n2022-02-04   13.776375     -0.031458      13.159875    正常运行  \n2022-02-05   13.928458     -0.020042      13.502917    正常运行  \n2022-02-06   13.860208     -0.019833      13.172083    正常运行  \n2022-02-07   13.576750     -0.021792      12.952875    正常运行  \n2022-02-08   13.721208     -0.025417      12.863625    正常运行  \n2022-02-09   14.036875     -0.026583      12.952667    正常运行  \n2022-02-10   13.953417     -0.011083      13.232667    正常运行  \n2022-02-11   14.210083     -0.011542      13.247875    正常运行  \n2022-02-12   13.956625     -0.018250      12.992667    正常运行  \n2022-02-13   14.427542     -0.037625      13.313500    正常运行  \n2022-02-14   14.049500     -0.044708      13.217542    正常运行  \n2022-02-15   14.077958     -0.049333      12.751083    正常运行  \n2022-02-16   13.875458     -0.062125      12.336333    正常运行  \n2022-02-17   14.031000     -0.041375      12.966167    正常运行  \n2022-02-18   13.987625     -0.024583      13.562792    正常运行  \n2022-02-19   13.605208     -0.032292      13.194958    正常运行  \n2022-02-20   14.403625     -0.016708      13.532375    正常运行  \n2022-02-21   14.083542     -0.014750      13.520000    正常运行  \n2022-02-22   14.153542     -0.018667      13.514750    正常运行  \n2022-02-23   14.195833     -0.019167      13.393625    正常运行  \n2022-02-24   14.195417     -0.010125      13.237458    正常运行  \n2022-02-25   13.771625     -0.005583      12.710292    正常运行  \n2022-02-26   13.873167      0.002500      12.894500    正常运行  \n2022-02-27   13.949583      0.000250      12.880750    正常运行  \n2022-02-28   14.249000      0.008292      12.840625    正常运行  \n\n[59 rows x 27 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>机组1_SO2浓度(mg/m3)</th>\n      <th>...</th>\n      <th>机组2_流量 （m3/h）</th>\n      <th>机组2_NOx浓度(mg/m3)</th>\n      <th>机组2_SO2浓度(mg/m3)</th>\n      <th>机组2_烟尘浓度(mg/m3)</th>\n      <th>机组2_含氧量（%）</th>\n      <th>机组2_温度（℃）</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气压力（千帕）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-01-01</th>\n      <td>494.20</td>\n      <td>30829</td>\n      <td>2861</td>\n      <td>536.50</td>\n      <td>324</td>\n      <td>2752</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>941229.60</td>\n      <td>18.200375</td>\n      <td>18.165208</td>\n      <td>...</td>\n      <td>1095004.20</td>\n      <td>19.098625</td>\n      <td>16.495917</td>\n      <td>0.477167</td>\n      <td>7.384167</td>\n      <td>49.570583</td>\n      <td>14.332542</td>\n      <td>-0.001208</td>\n      <td>13.711958</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-02</th>\n      <td>554.30</td>\n      <td>32122</td>\n      <td>2536</td>\n      <td>567.90</td>\n      <td>1008</td>\n      <td>3086</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>992216.10</td>\n      <td>19.536458</td>\n      <td>18.721167</td>\n      <td>...</td>\n      <td>1113858.45</td>\n      <td>20.497292</td>\n      <td>15.455208</td>\n      <td>0.453042</td>\n      <td>6.918208</td>\n      <td>48.557083</td>\n      <td>13.511000</td>\n      <td>-0.004167</td>\n      <td>13.774167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-03</th>\n      <td>558.30</td>\n      <td>33451</td>\n      <td>2911</td>\n      <td>566.20</td>\n      <td>1296</td>\n      <td>2914</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1016053.05</td>\n      <td>20.577917</td>\n      <td>16.690083</td>\n      <td>...</td>\n      <td>1111516.35</td>\n      <td>19.519958</td>\n      <td>15.434792</td>\n      <td>0.459625</td>\n      <td>7.142917</td>\n      <td>49.184958</td>\n      <td>13.971208</td>\n      <td>-0.003500</td>\n      <td>13.844875</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-04</th>\n      <td>529.70</td>\n      <td>33179</td>\n      <td>3023</td>\n      <td>563.50</td>\n      <td>1248</td>\n      <td>2847</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>979135.35</td>\n      <td>20.397917</td>\n      <td>15.546958</td>\n      <td>...</td>\n      <td>1112429.55</td>\n      <td>17.986042</td>\n      <td>13.265125</td>\n      <td>0.464458</td>\n      <td>7.163542</td>\n      <td>49.099500</td>\n      <td>13.916375</td>\n      <td>-0.008208</td>\n      <td>13.842125</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-05</th>\n      <td>563.90</td>\n      <td>29731</td>\n      <td>3191</td>\n      <td>609.30</td>\n      <td>1362</td>\n      <td>3014</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>996159.15</td>\n      <td>17.955417</td>\n      <td>14.888333</td>\n      <td>...</td>\n      <td>1141153.80</td>\n      <td>18.756125</td>\n      <td>14.446000</td>\n      <td>0.487458</td>\n      <td>6.975583</td>\n      <td>49.745875</td>\n      <td>14.428917</td>\n      <td>0.005875</td>\n      <td>14.311083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-06</th>\n      <td>561.00</td>\n      <td>32505</td>\n      <td>3357</td>\n      <td>577.20</td>\n      <td>1236</td>\n      <td>3353</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>970119.15</td>\n      <td>20.292250</td>\n      <td>13.671917</td>\n      <td>...</td>\n      <td>1112256.75</td>\n      <td>17.648125</td>\n      <td>9.985417</td>\n      <td>0.552083</td>\n      <td>7.258000</td>\n      <td>50.724417</td>\n      <td>15.268208</td>\n      <td>-0.000167</td>\n      <td>14.131583</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-07</th>\n      <td>570.00</td>\n      <td>33189</td>\n      <td>3231</td>\n      <td>579.00</td>\n      <td>1035</td>\n      <td>3252</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>998681.85</td>\n      <td>18.996333</td>\n      <td>14.894875</td>\n      <td>...</td>\n      <td>1113637.65</td>\n      <td>18.144083</td>\n      <td>14.375125</td>\n      <td>0.531500</td>\n      <td>7.082708</td>\n      <td>50.259708</td>\n      <td>14.889875</td>\n      <td>-0.003833</td>\n      <td>14.068833</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-08</th>\n      <td>526.80</td>\n      <td>31881</td>\n      <td>2765</td>\n      <td>542.90</td>\n      <td>1323</td>\n      <td>2548</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>974497.65</td>\n      <td>19.103583</td>\n      <td>16.130625</td>\n      <td>...</td>\n      <td>1092330.60</td>\n      <td>17.743625</td>\n      <td>15.234625</td>\n      <td>0.502833</td>\n      <td>7.209167</td>\n      <td>49.827500</td>\n      <td>14.535917</td>\n      <td>0.001125</td>\n      <td>13.726083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-09</th>\n      <td>517.10</td>\n      <td>30799</td>\n      <td>2574</td>\n      <td>538.90</td>\n      <td>1305</td>\n      <td>2394</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>957560.55</td>\n      <td>19.974542</td>\n      <td>13.766125</td>\n      <td>...</td>\n      <td>1083863.40</td>\n      <td>17.620958</td>\n      <td>13.893542</td>\n      <td>0.565583</td>\n      <td>7.215167</td>\n      <td>49.601458</td>\n      <td>14.305000</td>\n      <td>-0.008500</td>\n      <td>13.569167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-10</th>\n      <td>512.80</td>\n      <td>29277</td>\n      <td>2512</td>\n      <td>483.40</td>\n      <td>1335</td>\n      <td>2303</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956263.20</td>\n      <td>20.450042</td>\n      <td>15.530625</td>\n      <td>...</td>\n      <td>1037804.40</td>\n      <td>17.968750</td>\n      <td>12.740167</td>\n      <td>0.514167</td>\n      <td>7.948000</td>\n      <td>49.459583</td>\n      <td>14.191625</td>\n      <td>-0.030583</td>\n      <td>12.975792</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-11</th>\n      <td>521.20</td>\n      <td>32460</td>\n      <td>2757</td>\n      <td>536.10</td>\n      <td>1299</td>\n      <td>2819</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>955973.40</td>\n      <td>18.979875</td>\n      <td>14.161208</td>\n      <td>...</td>\n      <td>1084317.30</td>\n      <td>17.114042</td>\n      <td>11.562042</td>\n      <td>0.526583</td>\n      <td>7.341083</td>\n      <td>50.172417</td>\n      <td>14.764958</td>\n      <td>-0.029042</td>\n      <td>13.674167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-12</th>\n      <td>543.32</td>\n      <td>33593</td>\n      <td>3132</td>\n      <td>558.85</td>\n      <td>1368</td>\n      <td>2612</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>987528.75</td>\n      <td>18.116542</td>\n      <td>11.636042</td>\n      <td>...</td>\n      <td>1094112.45</td>\n      <td>17.645292</td>\n      <td>11.908917</td>\n      <td>0.523000</td>\n      <td>7.001083</td>\n      <td>49.564167</td>\n      <td>14.263000</td>\n      <td>-0.015208</td>\n      <td>13.690458</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-13</th>\n      <td>512.52</td>\n      <td>33326</td>\n      <td>2950</td>\n      <td>527.32</td>\n      <td>1398</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>971672.85</td>\n      <td>18.861125</td>\n      <td>13.701250</td>\n      <td>...</td>\n      <td>1072833.30</td>\n      <td>18.238292</td>\n      <td>11.256125</td>\n      <td>0.487292</td>\n      <td>7.163792</td>\n      <td>49.767583</td>\n      <td>14.442958</td>\n      <td>-0.022458</td>\n      <td>13.463542</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-14</th>\n      <td>495.42</td>\n      <td>31417</td>\n      <td>2755</td>\n      <td>512.83</td>\n      <td>1536</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956458.65</td>\n      <td>18.336958</td>\n      <td>12.812500</td>\n      <td>...</td>\n      <td>1066098.60</td>\n      <td>17.308125</td>\n      <td>11.162625</td>\n      <td>0.478542</td>\n      <td>7.419292</td>\n      <td>49.618292</td>\n      <td>14.328583</td>\n      <td>-0.026708</td>\n      <td>13.353708</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-15</th>\n      <td>500.06</td>\n      <td>32434</td>\n      <td>2834</td>\n      <td>517.19</td>\n      <td>1242</td>\n      <td>2986</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>950168.55</td>\n      <td>20.059333</td>\n      <td>12.266542</td>\n      <td>...</td>\n      <td>1075279.95</td>\n      <td>18.627792</td>\n      <td>13.612458</td>\n      <td>0.497458</td>\n      <td>7.446625</td>\n      <td>49.474000</td>\n      <td>14.199875</td>\n      <td>-0.017833</td>\n      <td>13.440708</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-16</th>\n      <td>527.93</td>\n      <td>31986</td>\n      <td>3182</td>\n      <td>542.34</td>\n      <td>1116</td>\n      <td>3132</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>973078.80</td>\n      <td>19.974500</td>\n      <td>14.186208</td>\n      <td>...</td>\n      <td>1090436.85</td>\n      <td>16.915625</td>\n      <td>12.755250</td>\n      <td>0.442083</td>\n      <td>7.392500</td>\n      <td>49.458458</td>\n      <td>14.185542</td>\n      <td>-0.014458</td>\n      <td>13.628750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-17</th>\n      <td>496.50</td>\n      <td>32268</td>\n      <td>3121</td>\n      <td>513.14</td>\n      <td>1362</td>\n      <td>2912</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956802.15</td>\n      <td>18.879083</td>\n      <td>13.058542</td>\n      <td>...</td>\n      <td>1064488.95</td>\n      <td>18.095833</td>\n      <td>11.811625</td>\n      <td>0.488917</td>\n      <td>7.067125</td>\n      <td>49.127708</td>\n      <td>13.929958</td>\n      <td>-0.020917</td>\n      <td>13.250917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-18</th>\n      <td>529.31</td>\n      <td>31814</td>\n      <td>3241</td>\n      <td>544.11</td>\n      <td>1305</td>\n      <td>3070</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>991453.20</td>\n      <td>20.236625</td>\n      <td>15.996250</td>\n      <td>...</td>\n      <td>1092306.45</td>\n      <td>18.965000</td>\n      <td>14.870083</td>\n      <td>0.492542</td>\n      <td>7.034500</td>\n      <td>49.347542</td>\n      <td>14.144208</td>\n      <td>-0.004125</td>\n      <td>13.642042</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-19</th>\n      <td>552.01</td>\n      <td>30414</td>\n      <td>3274</td>\n      <td>565.96</td>\n      <td>1161</td>\n      <td>3297</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>991811.85</td>\n      <td>20.144542</td>\n      <td>14.782958</td>\n      <td>...</td>\n      <td>1087070.70</td>\n      <td>19.335167</td>\n      <td>14.736000</td>\n      <td>0.494667</td>\n      <td>7.120333</td>\n      <td>50.075542</td>\n      <td>14.787958</td>\n      <td>-0.029292</td>\n      <td>13.718750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-20</th>\n      <td>544.00</td>\n      <td>32416</td>\n      <td>3594</td>\n      <td>581.34</td>\n      <td>1329</td>\n      <td>3359</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1005389.55</td>\n      <td>19.532208</td>\n      <td>15.500333</td>\n      <td>...</td>\n      <td>1113286.95</td>\n      <td>18.942125</td>\n      <td>15.420750</td>\n      <td>0.440667</td>\n      <td>7.128083</td>\n      <td>49.868583</td>\n      <td>14.510042</td>\n      <td>-0.025833</td>\n      <td>13.986250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-21</th>\n      <td>561.29</td>\n      <td>34300</td>\n      <td>3891</td>\n      <td>617.18</td>\n      <td>1383</td>\n      <td>4019</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1028425.05</td>\n      <td>19.846833</td>\n      <td>15.057042</td>\n      <td>...</td>\n      <td>1150941.60</td>\n      <td>18.483375</td>\n      <td>13.172750</td>\n      <td>0.490542</td>\n      <td>6.855500</td>\n      <td>50.414417</td>\n      <td>14.936792</td>\n      <td>-0.005083</td>\n      <td>14.560750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-22</th>\n      <td>574.00</td>\n      <td>38342</td>\n      <td>4276</td>\n      <td>585.25</td>\n      <td>1368</td>\n      <td>3923</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1030724.40</td>\n      <td>20.398667</td>\n      <td>15.060083</td>\n      <td>...</td>\n      <td>1115300.25</td>\n      <td>18.465542</td>\n      <td>14.323500</td>\n      <td>0.540750</td>\n      <td>6.913500</td>\n      <td>50.396083</td>\n      <td>15.098875</td>\n      <td>-0.022167</td>\n      <td>14.133250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-23</th>\n      <td>534.94</td>\n      <td>37444</td>\n      <td>3767</td>\n      <td>550.24</td>\n      <td>1242</td>\n      <td>3743</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>685315.05</td>\n      <td>20.195708</td>\n      <td>13.737458</td>\n      <td>...</td>\n      <td>1102247.70</td>\n      <td>18.294292</td>\n      <td>13.573833</td>\n      <td>0.561625</td>\n      <td>7.263125</td>\n      <td>49.926292</td>\n      <td>14.761500</td>\n      <td>-0.027958</td>\n      <td>13.891958</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-24</th>\n      <td>543.91</td>\n      <td>34539</td>\n      <td>3175</td>\n      <td>550.61</td>\n      <td>1362</td>\n      <td>3852</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>747819.00</td>\n      <td>19.783167</td>\n      <td>13.516667</td>\n      <td>...</td>\n      <td>1098705.00</td>\n      <td>17.310875</td>\n      <td>14.138333</td>\n      <td>0.523708</td>\n      <td>7.422375</td>\n      <td>49.522792</td>\n      <td>14.277750</td>\n      <td>-0.015417</td>\n      <td>13.751458</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-25</th>\n      <td>538.31</td>\n      <td>36753</td>\n      <td>3860</td>\n      <td>551.21</td>\n      <td>1131</td>\n      <td>3621</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>981332.25</td>\n      <td>20.899917</td>\n      <td>17.045250</td>\n      <td>...</td>\n      <td>1110458.10</td>\n      <td>17.740417</td>\n      <td>15.157083</td>\n      <td>0.548583</td>\n      <td>7.225333</td>\n      <td>49.643167</td>\n      <td>14.441208</td>\n      <td>-0.008750</td>\n      <td>13.930542</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-26</th>\n      <td>529.59</td>\n      <td>34148</td>\n      <td>3749</td>\n      <td>545.59</td>\n      <td>891</td>\n      <td>3735</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>973191.45</td>\n      <td>19.605917</td>\n      <td>15.363083</td>\n      <td>...</td>\n      <td>1098819.75</td>\n      <td>18.230167</td>\n      <td>13.962875</td>\n      <td>0.529250</td>\n      <td>7.353625</td>\n      <td>49.324125</td>\n      <td>14.133625</td>\n      <td>-0.019167</td>\n      <td>13.717375</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-27</th>\n      <td>525.88</td>\n      <td>33630</td>\n      <td>3725</td>\n      <td>537.33</td>\n      <td>777</td>\n      <td>3446</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>976386.90</td>\n      <td>21.139042</td>\n      <td>16.053542</td>\n      <td>...</td>\n      <td>1079510.70</td>\n      <td>17.716750</td>\n      <td>14.416917</td>\n      <td>0.446208</td>\n      <td>7.150917</td>\n      <td>49.165083</td>\n      <td>13.993833</td>\n      <td>-0.019167</td>\n      <td>13.451958</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-28</th>\n      <td>545.06</td>\n      <td>34181</td>\n      <td>3866</td>\n      <td>554.88</td>\n      <td>558</td>\n      <td>3721</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>995228.10</td>\n      <td>20.381167</td>\n      <td>17.793375</td>\n      <td>...</td>\n      <td>1093401.60</td>\n      <td>18.939708</td>\n      <td>16.025875</td>\n      <td>0.442833</td>\n      <td>6.876500</td>\n      <td>49.420125</td>\n      <td>14.186417</td>\n      <td>-0.007375</td>\n      <td>13.664208</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-29</th>\n      <td>522.68</td>\n      <td>30637</td>\n      <td>3395</td>\n      <td>544.47</td>\n      <td>399</td>\n      <td>3142</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>967837.80</td>\n      <td>20.602667</td>\n      <td>15.591625</td>\n      <td>...</td>\n      <td>1083312.90</td>\n      <td>19.393750</td>\n      <td>15.589125</td>\n      <td>0.495917</td>\n      <td>7.114250</td>\n      <td>49.561625</td>\n      <td>14.288167</td>\n      <td>-0.012125</td>\n      <td>13.557125</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-30</th>\n      <td>509.69</td>\n      <td>34254</td>\n      <td>3101</td>\n      <td>526.92</td>\n      <td>258</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>959857.95</td>\n      <td>22.424542</td>\n      <td>21.170125</td>\n      <td>...</td>\n      <td>1077400.95</td>\n      <td>20.856208</td>\n      <td>19.920417</td>\n      <td>0.505208</td>\n      <td>7.135000</td>\n      <td>49.392292</td>\n      <td>14.165333</td>\n      <td>-0.019083</td>\n      <td>13.457583</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-31</th>\n      <td>516.51</td>\n      <td>32145</td>\n      <td>2985</td>\n      <td>528.13</td>\n      <td>210</td>\n      <td>2966</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>982636.80</td>\n      <td>22.933250</td>\n      <td>18.113667</td>\n      <td>...</td>\n      <td>1081850.55</td>\n      <td>20.094917</td>\n      <td>18.052333</td>\n      <td>0.477458</td>\n      <td>7.262000</td>\n      <td>48.929000</td>\n      <td>13.787333</td>\n      <td>-0.011708</td>\n      <td>13.436125</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-01</th>\n      <td>500.46</td>\n      <td>25687</td>\n      <td>2662</td>\n      <td>543.60</td>\n      <td>207</td>\n      <td>2895</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>958825.35</td>\n      <td>18.983458</td>\n      <td>16.199000</td>\n      <td>...</td>\n      <td>1089026.85</td>\n      <td>20.805875</td>\n      <td>17.409333</td>\n      <td>0.419625</td>\n      <td>6.965333</td>\n      <td>48.865042</td>\n      <td>13.722667</td>\n      <td>-0.020083</td>\n      <td>13.511750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-02</th>\n      <td>477.03</td>\n      <td>29061</td>\n      <td>2821</td>\n      <td>534.40</td>\n      <td>186</td>\n      <td>2930</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>935412.75</td>\n      <td>19.692250</td>\n      <td>15.898208</td>\n      <td>...</td>\n      <td>1089972.75</td>\n      <td>19.052292</td>\n      <td>15.773458</td>\n      <td>0.413333</td>\n      <td>7.029000</td>\n      <td>49.367125</td>\n      <td>14.131875</td>\n      <td>-0.013042</td>\n      <td>13.611125</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-03</th>\n      <td>439.93</td>\n      <td>29598</td>\n      <td>2779</td>\n      <td>494.86</td>\n      <td>204</td>\n      <td>2937</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>908839.35</td>\n      <td>20.232167</td>\n      <td>14.801333</td>\n      <td>...</td>\n      <td>1060159.80</td>\n      <td>19.806708</td>\n      <td>15.555333</td>\n      <td>0.420792</td>\n      <td>7.337792</td>\n      <td>48.929583</td>\n      <td>13.783458</td>\n      <td>-0.020375</td>\n      <td>13.166667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-04</th>\n      <td>452.76</td>\n      <td>28709</td>\n      <td>2523</td>\n      <td>493.99</td>\n      <td>282</td>\n      <td>2867</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>911025.60</td>\n      <td>18.351792</td>\n      <td>14.603708</td>\n      <td>...</td>\n      <td>1059162.90</td>\n      <td>17.241125</td>\n      <td>14.201500</td>\n      <td>0.426000</td>\n      <td>7.606125</td>\n      <td>48.940875</td>\n      <td>13.776375</td>\n      <td>-0.031458</td>\n      <td>13.159875</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-05</th>\n      <td>508.35</td>\n      <td>30133</td>\n      <td>2884</td>\n      <td>521.49</td>\n      <td>285</td>\n      <td>2916</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>920823.45</td>\n      <td>19.440333</td>\n      <td>14.161000</td>\n      <td>...</td>\n      <td>1084824.90</td>\n      <td>17.398917</td>\n      <td>13.958750</td>\n      <td>0.417125</td>\n      <td>7.327083</td>\n      <td>49.117375</td>\n      <td>13.928458</td>\n      <td>-0.020042</td>\n      <td>13.502917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-06</th>\n      <td>485.41</td>\n      <td>27635</td>\n      <td>2902</td>\n      <td>503.13</td>\n      <td>363</td>\n      <td>2947</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>916121.70</td>\n      <td>18.340417</td>\n      <td>14.278167</td>\n      <td>...</td>\n      <td>1059457.95</td>\n      <td>15.366292</td>\n      <td>14.157000</td>\n      <td>0.412875</td>\n      <td>7.405000</td>\n      <td>49.008958</td>\n      <td>13.860208</td>\n      <td>-0.019833</td>\n      <td>13.172083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-07</th>\n      <td>469.75</td>\n      <td>28259</td>\n      <td>2939</td>\n      <td>484.85</td>\n      <td>363</td>\n      <td>2754</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>917169.90</td>\n      <td>18.995583</td>\n      <td>15.024875</td>\n      <td>...</td>\n      <td>1046341.05</td>\n      <td>18.485042</td>\n      <td>14.790833</td>\n      <td>0.411958</td>\n      <td>7.544167</td>\n      <td>48.647417</td>\n      <td>13.576750</td>\n      <td>-0.021792</td>\n      <td>12.952875</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-08</th>\n      <td>452.87</td>\n      <td>26685</td>\n      <td>2556</td>\n      <td>481.92</td>\n      <td>603</td>\n      <td>2485</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>886401.60</td>\n      <td>20.192167</td>\n      <td>14.818625</td>\n      <td>...</td>\n      <td>1036790.55</td>\n      <td>18.849500</td>\n      <td>13.748292</td>\n      <td>0.409208</td>\n      <td>7.437333</td>\n      <td>48.806583</td>\n      <td>13.721208</td>\n      <td>-0.025417</td>\n      <td>12.863625</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-09</th>\n      <td>470.87</td>\n      <td>26037</td>\n      <td>2691</td>\n      <td>488.17</td>\n      <td>681</td>\n      <td>2834</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>906835.80</td>\n      <td>19.853292</td>\n      <td>14.572875</td>\n      <td>...</td>\n      <td>1038851.70</td>\n      <td>17.988792</td>\n      <td>14.982000</td>\n      <td>0.413333</td>\n      <td>7.305083</td>\n      <td>49.236333</td>\n      <td>14.036875</td>\n      <td>-0.026583</td>\n      <td>12.952667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-10</th>\n      <td>490.75</td>\n      <td>25530</td>\n      <td>2901</td>\n      <td>508.89</td>\n      <td>591</td>\n      <td>3172</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>928945.80</td>\n      <td>19.825792</td>\n      <td>15.346833</td>\n      <td>...</td>\n      <td>1062997.35</td>\n      <td>17.954583</td>\n      <td>14.905292</td>\n      <td>0.439542</td>\n      <td>7.322958</td>\n      <td>49.126708</td>\n      <td>13.953417</td>\n      <td>-0.011083</td>\n      <td>13.232667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-11</th>\n      <td>467.50</td>\n      <td>24359</td>\n      <td>2790</td>\n      <td>497.45</td>\n      <td>735</td>\n      <td>2835</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>885137.40</td>\n      <td>20.022458</td>\n      <td>15.645167</td>\n      <td>...</td>\n      <td>1059613.65</td>\n      <td>17.185792</td>\n      <td>15.418750</td>\n      <td>0.431875</td>\n      <td>7.399125</td>\n      <td>49.408708</td>\n      <td>14.210083</td>\n      <td>-0.011542</td>\n      <td>13.247875</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-12</th>\n      <td>446.31</td>\n      <td>24180</td>\n      <td>2766</td>\n      <td>474.04</td>\n      <td>621</td>\n      <td>2787</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>878793.15</td>\n      <td>19.901583</td>\n      <td>11.658667</td>\n      <td>...</td>\n      <td>1043504.40</td>\n      <td>18.584083</td>\n      <td>11.594583</td>\n      <td>0.440250</td>\n      <td>7.651625</td>\n      <td>49.116458</td>\n      <td>13.956625</td>\n      <td>-0.018250</td>\n      <td>12.992667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-13</th>\n      <td>466.12</td>\n      <td>25274</td>\n      <td>3054</td>\n      <td>491.41</td>\n      <td>594</td>\n      <td>2915</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>904216.50</td>\n      <td>19.563583</td>\n      <td>14.393250</td>\n      <td>...</td>\n      <td>1061035.50</td>\n      <td>19.747500</td>\n      <td>14.760208</td>\n      <td>0.450958</td>\n      <td>7.574292</td>\n      <td>49.781083</td>\n      <td>14.427542</td>\n      <td>-0.037625</td>\n      <td>13.313500</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-14</th>\n      <td>464.96</td>\n      <td>29338</td>\n      <td>2533</td>\n      <td>491.96</td>\n      <td>651</td>\n      <td>2555</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>898221.45</td>\n      <td>19.591208</td>\n      <td>16.393500</td>\n      <td>...</td>\n      <td>1059337.20</td>\n      <td>19.648167</td>\n      <td>15.406917</td>\n      <td>0.424833</td>\n      <td>7.482917</td>\n      <td>49.330375</td>\n      <td>14.049500</td>\n      <td>-0.044708</td>\n      <td>13.217542</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-15</th>\n      <td>466.40</td>\n      <td>27394</td>\n      <td>2611</td>\n      <td>444.04</td>\n      <td>474</td>\n      <td>2447</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>898496.85</td>\n      <td>20.304208</td>\n      <td>15.477375</td>\n      <td>...</td>\n      <td>1021689.15</td>\n      <td>18.697583</td>\n      <td>13.850625</td>\n      <td>0.418458</td>\n      <td>7.849917</td>\n      <td>49.334625</td>\n      <td>14.077958</td>\n      <td>-0.049333</td>\n      <td>12.751083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-16</th>\n      <td>493.26</td>\n      <td>27639</td>\n      <td>2905</td>\n      <td>420.10</td>\n      <td>1074</td>\n      <td>2350</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>930371.55</td>\n      <td>19.781625</td>\n      <td>13.623167</td>\n      <td>...</td>\n      <td>991069.20</td>\n      <td>16.822500</td>\n      <td>12.883958</td>\n      <td>0.418792</td>\n      <td>7.987792</td>\n      <td>49.201917</td>\n      <td>13.875458</td>\n      <td>-0.062125</td>\n      <td>12.336333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-17</th>\n      <td>495.53</td>\n      <td>30228</td>\n      <td>2894</td>\n      <td>469.32</td>\n      <td>1362</td>\n      <td>2623</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>924087.90</td>\n      <td>20.751667</td>\n      <td>16.294000</td>\n      <td>...</td>\n      <td>1039439.10</td>\n      <td>19.709708</td>\n      <td>14.789000</td>\n      <td>0.391833</td>\n      <td>7.572167</td>\n      <td>49.359500</td>\n      <td>14.031000</td>\n      <td>-0.041375</td>\n      <td>12.966167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-18</th>\n      <td>524.59</td>\n      <td>28126</td>\n      <td>3030</td>\n      <td>531.28</td>\n      <td>1413</td>\n      <td>2724</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>943475.55</td>\n      <td>17.547500</td>\n      <td>15.684250</td>\n      <td>...</td>\n      <td>1088419.20</td>\n      <td>17.534083</td>\n      <td>15.288667</td>\n      <td>0.413625</td>\n      <td>7.403667</td>\n      <td>49.193625</td>\n      <td>13.987625</td>\n      <td>-0.024583</td>\n      <td>13.562792</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-19</th>\n      <td>466.49</td>\n      <td>27575</td>\n      <td>2470</td>\n      <td>497.11</td>\n      <td>1317</td>\n      <td>2409</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>927422.25</td>\n      <td>16.901125</td>\n      <td>14.059042</td>\n      <td>...</td>\n      <td>1065218.70</td>\n      <td>17.390458</td>\n      <td>14.100208</td>\n      <td>0.411917</td>\n      <td>7.867083</td>\n      <td>48.750417</td>\n      <td>13.605208</td>\n      <td>-0.032292</td>\n      <td>13.194958</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-20</th>\n      <td>503.46</td>\n      <td>27424</td>\n      <td>2799</td>\n      <td>460.91</td>\n      <td>1281</td>\n      <td>2916</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956680.50</td>\n      <td>17.790792</td>\n      <td>14.316042</td>\n      <td>...</td>\n      <td>1079138.85</td>\n      <td>18.781292</td>\n      <td>14.185750</td>\n      <td>0.417083</td>\n      <td>7.481667</td>\n      <td>49.719708</td>\n      <td>14.403625</td>\n      <td>-0.016708</td>\n      <td>13.532375</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-21</th>\n      <td>521.02</td>\n      <td>26965</td>\n      <td>3098</td>\n      <td>482.89</td>\n      <td>1317</td>\n      <td>2996</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>948743.85</td>\n      <td>20.735625</td>\n      <td>13.478583</td>\n      <td>...</td>\n      <td>1083679.50</td>\n      <td>19.196333</td>\n      <td>13.091000</td>\n      <td>0.420542</td>\n      <td>7.096250</td>\n      <td>49.336583</td>\n      <td>14.083542</td>\n      <td>-0.014750</td>\n      <td>13.520000</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-22</th>\n      <td>528.08</td>\n      <td>26886</td>\n      <td>3317</td>\n      <td>490.45</td>\n      <td>1314</td>\n      <td>3209</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>960633.00</td>\n      <td>20.336125</td>\n      <td>17.093583</td>\n      <td>...</td>\n      <td>1082105.40</td>\n      <td>19.493083</td>\n      <td>15.314375</td>\n      <td>0.407500</td>\n      <td>7.471250</td>\n      <td>49.393917</td>\n      <td>14.153542</td>\n      <td>-0.018667</td>\n      <td>13.514750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-23</th>\n      <td>533.95</td>\n      <td>25022</td>\n      <td>3174</td>\n      <td>494.54</td>\n      <td>1407</td>\n      <td>2868</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>962487.30</td>\n      <td>14.817583</td>\n      <td>12.260375</td>\n      <td>...</td>\n      <td>1071494.25</td>\n      <td>16.403542</td>\n      <td>11.103458</td>\n      <td>0.416125</td>\n      <td>7.264125</td>\n      <td>49.460667</td>\n      <td>14.195833</td>\n      <td>-0.019167</td>\n      <td>13.393625</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-24</th>\n      <td>505.76</td>\n      <td>26727</td>\n      <td>3079</td>\n      <td>527.43</td>\n      <td>1200</td>\n      <td>2921</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>923360.40</td>\n      <td>12.179875</td>\n      <td>8.796875</td>\n      <td>...</td>\n      <td>1059437.85</td>\n      <td>14.083875</td>\n      <td>6.978250</td>\n      <td>0.421917</td>\n      <td>7.268875</td>\n      <td>49.327667</td>\n      <td>14.195417</td>\n      <td>-0.010125</td>\n      <td>13.237458</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-25</th>\n      <td>445.43</td>\n      <td>21930</td>\n      <td>2580</td>\n      <td>473.06</td>\n      <td>1368</td>\n      <td>2584</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>860085.15</td>\n      <td>10.475958</td>\n      <td>6.187042</td>\n      <td>...</td>\n      <td>1024307.10</td>\n      <td>12.822500</td>\n      <td>7.001375</td>\n      <td>0.403125</td>\n      <td>7.359417</td>\n      <td>48.764042</td>\n      <td>13.771625</td>\n      <td>-0.005583</td>\n      <td>12.710292</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-26</th>\n      <td>491.01</td>\n      <td>16645</td>\n      <td>2733</td>\n      <td>509.18</td>\n      <td>1341</td>\n      <td>2545</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>902073.30</td>\n      <td>16.492917</td>\n      <td>9.615208</td>\n      <td>...</td>\n      <td>1037322.30</td>\n      <td>16.268375</td>\n      <td>8.824500</td>\n      <td>0.417542</td>\n      <td>7.432958</td>\n      <td>48.933458</td>\n      <td>13.873167</td>\n      <td>0.002500</td>\n      <td>12.894500</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-27</th>\n      <td>465.33</td>\n      <td>17884</td>\n      <td>2862</td>\n      <td>500.18</td>\n      <td>1269</td>\n      <td>2825</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>873491.25</td>\n      <td>19.575875</td>\n      <td>18.428667</td>\n      <td>...</td>\n      <td>1035227.55</td>\n      <td>19.332083</td>\n      <td>17.331167</td>\n      <td>0.350625</td>\n      <td>7.471875</td>\n      <td>48.993042</td>\n      <td>13.949583</td>\n      <td>0.000250</td>\n      <td>12.880750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-28</th>\n      <td>487.21</td>\n      <td>15457</td>\n      <td>3029</td>\n      <td>497.76</td>\n      <td>1236</td>\n      <td>2632</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>873223.80</td>\n      <td>19.886042</td>\n      <td>17.970458</td>\n      <td>...</td>\n      <td>1027222.05</td>\n      <td>19.495750</td>\n      <td>18.255167</td>\n      <td>0.358292</td>\n      <td>7.451500</td>\n      <td>49.359958</td>\n      <td>14.249000</td>\n      <td>0.008292</td>\n      <td>12.840625</td>\n      <td>正常运行</td>\n    </tr>\n  </tbody>\n</table>\n<p>59 rows × 27 columns</p>\n</div>"
      },
-     "execution_count": 130,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "hddj_emiss_data_2"
+    "hddj_save_data = pd.concat([hddj_daily_data, hddj_emiss_daily_1, hddj_emiss_daily_2], axis=1)\n",
+    "hddj_save_data"
    ],
    "metadata": {
     "collapsed": false,
@@ -642,6 +780,352 @@
      "name": "#%%\n"
     }
    }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['企业名称', 'address_reg', 'address1', '经度', '纬度', '机组数量', '单机容量（MW）',\n       '生产设备类型', '锅炉额定蒸发量 t/h ', '汽轮机类型', '压力参数', '冷却方式', '脱硝工艺', '脱硫工艺',\n       '除尘工艺', '燃料类型', '低位发热量（GJ/t）', 'Unnamed: 17', '日期', '机组编号', '投产日期',\n       '产灰量（吨）', '产石膏量（吨）', '脱硝设施耗电量（千瓦时）', '运行时间（小时）', '除尘设施运行时间（小时）',\n       '除尘耗电量（千瓦时）', '发电量（万千瓦时）', '供热量（万吉焦）', '产渣量', '脱硫剂使用量（吨）', '脱硫耗电量（千瓦时）',\n       '脱硫设施运行时间（小时）', '脱硝还原剂消耗量（吨）', '脱硝运行时间（小时）', '燃料消耗量（吨）', 'Unnamed: 36',\n       '日期.1', '机组编号.1', '投产日期.1', '产灰量（吨）.1', '产石膏量（吨）.1', '脱硝设施耗电量（千瓦时）.1',\n       '运行时间（小时）.1', '除尘设施运行时间（小时）.1', '除尘耗电量（千瓦时）.1', '发电量（万千瓦时）.1',\n       '供热量（万吉焦）.1', '产渣量.1', '脱硫剂使用量（吨）.1', '脱硫耗电量（千瓦时）.1', '脱硫设施运行时间（小时）.1',\n       '脱硝还原剂消耗量（吨）.1', '脱硝运行时间（小时）.1', '燃料消耗量（吨）.1'],\n      dtype='object')"
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily = pd.read_excel('data/机器学习样表_单位换算.xlsx', sheet_name=7)\n",
+    "jtzh_daily.columns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "outputs": [],
+   "source": [
+    "jtzh_daily_1 = jtzh_daily[['日期', '发电量（万千瓦时）', '供热量（万吉焦）', '燃料消耗量（吨）']].copy()\n",
+    "jtzh_daily_1.columns = ['days', \"发电量_1（万千瓦时）\", '供热量_1（吉焦）', '燃料消耗量_1（吨）']\n",
+    "jtzh_daily_2 = jtzh_daily[['日期.1', '发电量（万千瓦时）.1', '供热量（万吉焦）.1', '燃料消耗量（吨）.1']].copy()\n",
+    "jtzh_daily_2.columns = ['days', \"发电量_2（万千瓦时）\", '供热量_2（吉焦）', '燃料消耗量_2（吨）']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "         days  发电量_2（万千瓦时）  供热量_2（吉焦）  燃料消耗量_2（吨）\n0  2022-05-01        0.000          0           0\n1  2022-05-02        0.000          0           0\n2  2022-05-03        0.000          0           0\n3  2022-05-04        0.000          0           0\n4  2022-05-05        0.000          0           0\n5  2022-05-06        0.000          0           0\n6  2022-05-07        0.000          0         426\n7  2022-05-08      218.196          0        1873\n8  2022-05-09      444.756          0        2350\n9  2022-05-10      552.114          0        2636\n10 2022-05-11      481.542          0        2432\n11 2022-05-12      439.788          0        2099\n12 2022-05-13      495.702          0        2340\n13 2022-05-14      486.624          0        2737\n14 2022-05-15      460.524          0        2461\n15 2022-05-16      505.578          0        2615\n16 2022-05-17      432.450          0        2593\n17 2022-05-18      509.586          0        2871\n18 2022-05-19      514.404          0        2637\n19 2022-05-20      514.434          0        2682\n20 2022-05-21      520.626          0        2581\n21 2022-05-22      500.040          0        2632\n22 2022-05-23      584.886          0        3187\n23 2022-05-24      514.488          0        2719\n24 2022-05-25      486.474          0        2599\n25 2022-05-26      501.366          0        2794\n26 2022-05-27      467.106          0        2401\n27 2022-05-28      504.900          0        2611\n28 2022-05-29      462.822          0        2846\n29 2022-05-30      528.960          0        2981\n30 2022-05-31      672.180          0        3560",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>days</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-05-01</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-05-02</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-05-03</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-05-04</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-05-05</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2022-05-06</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2022-05-07</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2022-05-08</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2022-05-09</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2022-05-10</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2022-05-11</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2022-05-12</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2022-05-13</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2022-05-14</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2022-05-15</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2022-05-16</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2022-05-17</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2022-05-18</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2022-05-19</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2022-05-20</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2022-05-21</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2022-05-22</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2022-05-23</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2022-05-24</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2022-05-25</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2022-05-26</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2022-05-27</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2022-05-28</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2022-05-29</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-05-30</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-05-31</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily_2"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "DatetimeIndex(['2022-05-01', '2022-05-02', '2022-05-03', '2022-05-04',\n               '2022-05-05', '2022-05-06', '2022-05-07', '2022-05-08',\n               '2022-05-09', '2022-05-10', '2022-05-11', '2022-05-12',\n               '2022-05-13', '2022-05-14', '2022-05-15', '2022-05-16',\n               '2022-05-17', '2022-05-18', '2022-05-19', '2022-05-20',\n               '2022-05-21', '2022-05-22', '2022-05-23', '2022-05-24',\n               '2022-05-25', '2022-05-26', '2022-05-27', '2022-05-28',\n               '2022-05-29', '2022-05-30', '2022-05-31'],\n              dtype='datetime64[ns]', freq='D')"
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "min_start = min(jtzh_daily_1.days.min(), jtzh_daily_2.days.min())\n",
+    "max_end = max(jtzh_daily_1.days.max(), jtzh_daily_2.days.max())\n",
+    "date_range = pd.date_range(min_start, max_end, freq='D')\n",
+    "date_range"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "outputs": [],
+   "source": [
+    "jtzh_daily_1 = jtzh_daily_1.set_index('days').reindex(date_range.astype(str)).fillna(0)\n",
+    "jtzh_daily_2 = jtzh_daily_2.set_index('days').reindex(date_range.astype(str)).fillna(0)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2022-05-01      444.630          0        1889        0.000          0   \n2022-05-02      516.594          0        2622        0.000          0   \n2022-05-03      410.316          0        2233        0.000          0   \n2022-05-04      421.908          0        2203        0.000          0   \n2022-05-05      486.318          0        2524        0.000          0   \n2022-05-06      457.542          0        2343        0.000          0   \n2022-05-07      451.140          0        2278        0.000          0   \n2022-05-08      484.986          0        1120      218.196          0   \n2022-05-09        0.000          0           0      444.756          0   \n2022-05-10        0.000          0           0      552.114          0   \n2022-05-11        0.000          0           0      481.542          0   \n2022-05-12        0.000          0           0      439.788          0   \n2022-05-13        0.000          0           0      495.702          0   \n2022-05-14        0.000          0         121      486.624          0   \n2022-05-15      159.936          0        2251      460.524          0   \n2022-05-16      516.192          0        2543      505.578          0   \n2022-05-17      432.300          0        2432      432.450          0   \n2022-05-18      508.680          0        2810      509.586          0   \n2022-05-19      516.066          0        2972      514.404          0   \n2022-05-20      517.356          0        2623      514.434          0   \n2022-05-21      521.454          0        2759      520.626          0   \n2022-05-22      504.798          0        2545      500.040          0   \n2022-05-23      587.400          0        3294      584.886          0   \n2022-05-24      515.964          0        2633      514.488          0   \n2022-05-25      485.346          0        2694      486.474          0   \n2022-05-26      503.502          0        2619      501.366          0   \n2022-05-27      470.340          0        2510      467.106          0   \n2022-05-28      508.644          0        2753      504.900          0   \n2022-05-29      460.536          0        1163      462.822          0   \n2022-05-30        8.610          0           0      528.960          0   \n2022-05-31        0.000          0           0      672.180          0   \n\n            燃料消耗量_2（吨）  \n2022-05-01           0  \n2022-05-02           0  \n2022-05-03           0  \n2022-05-04           0  \n2022-05-05           0  \n2022-05-06           0  \n2022-05-07         426  \n2022-05-08        1873  \n2022-05-09        2350  \n2022-05-10        2636  \n2022-05-11        2432  \n2022-05-12        2099  \n2022-05-13        2340  \n2022-05-14        2737  \n2022-05-15        2461  \n2022-05-16        2615  \n2022-05-17        2593  \n2022-05-18        2871  \n2022-05-19        2637  \n2022-05-20        2682  \n2022-05-21        2581  \n2022-05-22        2632  \n2022-05-23        3187  \n2022-05-24        2719  \n2022-05-25        2599  \n2022-05-26        2794  \n2022-05-27        2401  \n2022-05-28        2611  \n2022-05-29        2846  \n2022-05-30        2981  \n2022-05-31        3560  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-05-01</th>\n      <td>444.630</td>\n      <td>0</td>\n      <td>1889</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-02</th>\n      <td>516.594</td>\n      <td>0</td>\n      <td>2622</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-03</th>\n      <td>410.316</td>\n      <td>0</td>\n      <td>2233</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-04</th>\n      <td>421.908</td>\n      <td>0</td>\n      <td>2203</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-05</th>\n      <td>486.318</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-06</th>\n      <td>457.542</td>\n      <td>0</td>\n      <td>2343</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-07</th>\n      <td>451.140</td>\n      <td>0</td>\n      <td>2278</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>2022-05-08</th>\n      <td>484.986</td>\n      <td>0</td>\n      <td>1120</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n    </tr>\n    <tr>\n      <th>2022-05-09</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n    </tr>\n    <tr>\n      <th>2022-05-10</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n    </tr>\n    <tr>\n      <th>2022-05-11</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n    </tr>\n    <tr>\n      <th>2022-05-12</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n    </tr>\n    <tr>\n      <th>2022-05-13</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n    </tr>\n    <tr>\n      <th>2022-05-14</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>121</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n    </tr>\n    <tr>\n      <th>2022-05-15</th>\n      <td>159.936</td>\n      <td>0</td>\n      <td>2251</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n    </tr>\n    <tr>\n      <th>2022-05-16</th>\n      <td>516.192</td>\n      <td>0</td>\n      <td>2543</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n    </tr>\n    <tr>\n      <th>2022-05-17</th>\n      <td>432.300</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n    </tr>\n    <tr>\n      <th>2022-05-18</th>\n      <td>508.680</td>\n      <td>0</td>\n      <td>2810</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n    </tr>\n    <tr>\n      <th>2022-05-19</th>\n      <td>516.066</td>\n      <td>0</td>\n      <td>2972</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n    </tr>\n    <tr>\n      <th>2022-05-20</th>\n      <td>517.356</td>\n      <td>0</td>\n      <td>2623</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n    </tr>\n    <tr>\n      <th>2022-05-21</th>\n      <td>521.454</td>\n      <td>0</td>\n      <td>2759</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n    </tr>\n    <tr>\n      <th>2022-05-22</th>\n      <td>504.798</td>\n      <td>0</td>\n      <td>2545</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n    </tr>\n    <tr>\n      <th>2022-05-23</th>\n      <td>587.400</td>\n      <td>0</td>\n      <td>3294</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n    </tr>\n    <tr>\n      <th>2022-05-24</th>\n      <td>515.964</td>\n      <td>0</td>\n      <td>2633</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n    </tr>\n    <tr>\n      <th>2022-05-25</th>\n      <td>485.346</td>\n      <td>0</td>\n      <td>2694</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n    </tr>\n    <tr>\n      <th>2022-05-26</th>\n      <td>503.502</td>\n      <td>0</td>\n      <td>2619</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n    </tr>\n    <tr>\n      <th>2022-05-27</th>\n      <td>470.340</td>\n      <td>0</td>\n      <td>2510</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n    </tr>\n    <tr>\n      <th>2022-05-28</th>\n      <td>508.644</td>\n      <td>0</td>\n      <td>2753</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n    </tr>\n    <tr>\n      <th>2022-05-29</th>\n      <td>460.536</td>\n      <td>0</td>\n      <td>1163</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n    </tr>\n    <tr>\n      <th>2022-05-30</th>\n      <td>8.610</td>\n      <td>0</td>\n      <td>0</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_daily_data = pd.concat([jtzh_daily_1, jtzh_daily_2], axis=1)\n",
+    "jtzh_daily_data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Index(['时间', '企业名称', '监测点', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n       '烟尘浓度(mg/m3)', '含氧量（%）', '烟气湿度（%）', '温度（℃）', '烟气流速（m/s）', '状态',\n       'Unnamed: 12', '时间.1', '企业名称.1', '监测点.1', '流量 （m3/h）.1',\n       'NOx浓度(mg/m3).1', 'SO2浓度(mg/m3).1', '烟尘浓度(mg/m3).1', '含氧量（%）.1',\n       '烟气湿度（%）.1', '温度（℃）.1', '烟气流速（m/s）.1', '状态.1'],\n      dtype='object')"
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_emiss_data = pd.read_excel('data/机器学习样表_单位换算.xlsx', sheet_name=6)\n",
+    "jtzh_emiss_data.columns"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "outputs": [],
+   "source": [
+    "jtzh_emiss_data_1 = jtzh_emiss_data[['时间', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n",
+    "                                     '烟尘浓度(mg/m3)', '含氧量（%）', '温度（℃）', '烟气湿度（%）', '烟气流速（m/s）',\n",
+    "                                     '状态', ]].copy()\n",
+    "jtzh_emiss_data_2 = jtzh_emiss_data[['时间.1', '流量 （m3/h）.1',\n",
+    "                                     'NOx浓度(mg/m3).1', 'SO2浓度(mg/m3).1', '烟尘浓度(mg/m3).1', '含氧量（%）.1',\n",
+    "                                     '温度（℃）.1', '烟气湿度（%）.1', '烟气流速（m/s）.1', '状态.1']].copy()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "outputs": [],
+   "source": [
+    "jtzh_emiss_data_1.columns = ['date'] + jtzh_emiss_data_1.columns[1:].tolist()\n",
+    "jtzh_emiss_data_2.columns = jtzh_emiss_data_1.columns.tolist()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "outputs": [],
+   "source": [
+    "jtzh_emiss_data_1['days'] = jtzh_emiss_data_1.date.apply(lambda x: str(x).split(' ')[0])\n",
+    "jtzh_emiss_data_2['days'] = jtzh_emiss_data_2.date.apply(lambda x: str(x).split(' ')[0])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                   date  流量 （m3/h）  NOx浓度(mg/m3)  SO2浓度(mg/m3)  烟尘浓度(mg/m3)  \\\n0   2022-05-01 00:00:00     705600          9.79         11.48         1.89   \n1   2022-05-01 01:00:00     716760         14.68         14.25         1.87   \n2   2022-05-01 02:00:00     685080         12.44         11.01         1.92   \n3   2022-05-01 03:00:00     687960         16.18         12.24         1.91   \n4   2022-05-01 04:00:00     691920         19.52         12.77         1.86   \n..                  ...        ...           ...           ...          ...   \n739 2022-05-31 19:00:00      56520         -0.13          0.06         0.68   \n740 2022-05-31 20:00:00      49680         -0.14          0.08         0.67   \n741 2022-05-31 21:00:00      47160         -0.15          0.07         0.68   \n742 2022-05-31 22:00:00      44280         -0.15          0.03         0.67   \n743 2022-05-31 23:00:00      38880         -0.15          0.01         0.66   \n\n     含氧量（%）  温度（℃）  烟气湿度（%）  烟气流速（m/s）    状态        days  \n0       8.2   51.5      8.8       8.61  正常运行  2022-05-01  \n1       8.3   52.4      9.5       8.83  正常运行  2022-05-01  \n2       8.6   51.9      9.4       8.43  正常运行  2022-05-01  \n3       8.6   51.5      9.4       8.46  正常运行  2022-05-01  \n4       8.8   51.2      9.2       8.47  正常运行  2022-05-01  \n..      ...    ...      ...        ...   ...         ...  \n739    19.8   29.8      0.8       0.59    停运  2022-05-31  \n740    20.0   29.4      0.7       0.52    停运  2022-05-31  \n741    20.0   28.9      0.5       0.49    停运  2022-05-31  \n742    20.0   28.4      0.4       0.46    停运  2022-05-31  \n743    20.0   27.9      0.2       0.40    停运  2022-05-31  \n\n[744 rows x 11 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>流量 （m3/h）</th>\n      <th>NOx浓度(mg/m3)</th>\n      <th>SO2浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>含氧量（%）</th>\n      <th>温度（℃）</th>\n      <th>烟气湿度（%）</th>\n      <th>烟气流速（m/s）</th>\n      <th>状态</th>\n      <th>days</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-05-01 00:00:00</td>\n      <td>705600</td>\n      <td>9.79</td>\n      <td>11.48</td>\n      <td>1.89</td>\n      <td>8.2</td>\n      <td>51.5</td>\n      <td>8.8</td>\n      <td>8.61</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-05-01 01:00:00</td>\n      <td>716760</td>\n      <td>14.68</td>\n      <td>14.25</td>\n      <td>1.87</td>\n      <td>8.3</td>\n      <td>52.4</td>\n      <td>9.5</td>\n      <td>8.83</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-05-01 02:00:00</td>\n      <td>685080</td>\n      <td>12.44</td>\n      <td>11.01</td>\n      <td>1.92</td>\n      <td>8.6</td>\n      <td>51.9</td>\n      <td>9.4</td>\n      <td>8.43</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-05-01 03:00:00</td>\n      <td>687960</td>\n      <td>16.18</td>\n      <td>12.24</td>\n      <td>1.91</td>\n      <td>8.6</td>\n      <td>51.5</td>\n      <td>9.4</td>\n      <td>8.46</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-05-01 04:00:00</td>\n      <td>691920</td>\n      <td>19.52</td>\n      <td>12.77</td>\n      <td>1.86</td>\n      <td>8.8</td>\n      <td>51.2</td>\n      <td>9.2</td>\n      <td>8.47</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>739</th>\n      <td>2022-05-31 19:00:00</td>\n      <td>56520</td>\n      <td>-0.13</td>\n      <td>0.06</td>\n      <td>0.68</td>\n      <td>19.8</td>\n      <td>29.8</td>\n      <td>0.8</td>\n      <td>0.59</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n    <tr>\n      <th>740</th>\n      <td>2022-05-31 20:00:00</td>\n      <td>49680</td>\n      <td>-0.14</td>\n      <td>0.08</td>\n      <td>0.67</td>\n      <td>20.0</td>\n      <td>29.4</td>\n      <td>0.7</td>\n      <td>0.52</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n    <tr>\n      <th>741</th>\n      <td>2022-05-31 21:00:00</td>\n      <td>47160</td>\n      <td>-0.15</td>\n      <td>0.07</td>\n      <td>0.68</td>\n      <td>20.0</td>\n      <td>28.9</td>\n      <td>0.5</td>\n      <td>0.49</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n    <tr>\n      <th>742</th>\n      <td>2022-05-31 22:00:00</td>\n      <td>44280</td>\n      <td>-0.15</td>\n      <td>0.03</td>\n      <td>0.67</td>\n      <td>20.0</td>\n      <td>28.4</td>\n      <td>0.4</td>\n      <td>0.46</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n    <tr>\n      <th>743</th>\n      <td>2022-05-31 23:00:00</td>\n      <td>38880</td>\n      <td>-0.15</td>\n      <td>0.01</td>\n      <td>0.66</td>\n      <td>20.0</td>\n      <td>27.9</td>\n      <td>0.2</td>\n      <td>0.40</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n  </tbody>\n</table>\n<p>744 rows × 11 columns</p>\n</div>"
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_emiss_data_1"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "outputs": [],
+   "source": [
+    "num_cols = jtzh_emiss_data_1.columns[1:-2]\n",
+    "jtzh_emiss_daily_1 = jtzh_emiss_data_1.ffill().groupby('days')[num_cols].mean()\n",
+    "jtzh_emiss_daily_1['状态'] = jtzh_emiss_data_1.ffill().groupby('days')['状态'].apply(lambda x: x.value_counts().index[0])\n",
+    "jtzh_emiss_daily_1.columns = [f\"机组1_{x}\" for x in jtzh_emiss_daily_1.columns]\n",
+    "\n",
+    "jtzh_emiss_daily_2 = jtzh_emiss_data_2.ffill().groupby('days')[num_cols].mean()\n",
+    "jtzh_emiss_daily_2['状态'] = jtzh_emiss_data_1.ffill().groupby('days')['状态'].apply(lambda x: x.value_counts().index[0])\n",
+    "jtzh_emiss_daily_2.columns = [f\"机组2_{x}\" for x in jtzh_emiss_daily_2.columns]"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "            机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  机组1_SO2浓度(mg/m3)  \\\ndays                                                            \n2022-05-01       820965.0         12.952083         12.856250   \n2022-05-02       907380.0         14.641667         11.846250   \n2022-05-03       771360.0         14.414167         12.434167   \n2022-05-04       780390.0         14.922500         12.910417   \n2022-05-05       870075.0         14.102917         13.716667   \n2022-05-06       816300.0         14.321667         14.458750   \n2022-05-07       804405.0         16.310833         13.279583   \n2022-05-08       845610.0         18.585417         13.300417   \n2022-05-09        26370.0          6.152083          0.403750   \n2022-05-10       269970.0         -0.208333          0.264583   \n2022-05-11       163470.0         -0.147917          0.288333   \n2022-05-12        27720.0         -0.182083          0.225417   \n2022-05-13        50760.0         -0.140833          0.102917   \n2022-05-14        48540.0         -0.112500          0.052083   \n2022-05-15       602865.0         85.984583          6.295833   \n2022-05-16       912705.0         14.561250         13.784583   \n2022-05-17       816165.0         13.918333         12.802083   \n2022-05-18       892620.0         14.547083         13.451250   \n2022-05-19       904860.0         15.437083         13.886250   \n2022-05-20       906690.0         13.552917         13.295000   \n2022-05-21       931575.0         16.459583         11.678333   \n2022-05-22       891885.0         15.156250         13.014167   \n2022-05-23      1000560.0         14.451667         13.710833   \n2022-05-24       921300.0         13.775000         12.157083   \n2022-05-25       867765.0         15.344167         12.987083   \n2022-05-26       902100.0         14.439167         13.062917   \n2022-05-27       865320.0         14.760000         12.725417   \n2022-05-28       925965.0         15.012917         14.615833   \n2022-05-29       861255.0         14.035000         12.818750   \n2022-05-30        71640.0          0.266667          0.770417   \n2022-05-31        53550.0         -0.043333          0.085417   \n\n            机组1_烟尘浓度(mg/m3)  机组1_含氧量（%）  机组1_温度（℃）  机组1_烟气湿度（%）  \\\ndays                                                              \n2022-05-01         1.787500    7.795833  52.320833     9.204167   \n2022-05-02         1.717917    7.295833  53.145833     9.016667   \n2022-05-03         1.850833    7.650000  51.841667     8.750000   \n2022-05-04         1.922083    7.462500  51.808333     8.495833   \n2022-05-05         1.981667    7.195833  52.354167     8.725000   \n2022-05-06         1.729583    7.433333  51.462500     8.858333   \n2022-05-07         1.837917    7.333333  51.025000     8.595833   \n2022-05-08         1.906667    7.862500  51.854167     9.483333   \n2022-05-09         0.651250   19.887500  34.925000     2.458333   \n2022-05-10         1.107500   19.912500  32.612500     0.000000   \n2022-05-11         1.262083   20.100000  22.850000     0.000000   \n2022-05-12         0.636667   20.216667  19.625000     0.000000   \n2022-05-13         0.629583   20.270833  18.637500     0.000000   \n2022-05-14         0.626667   20.237500  21.245833     0.345833   \n2022-05-15         1.590833   13.391667  39.200000     4.379167   \n2022-05-16         1.407500    7.279167  53.104167     9.058333   \n2022-05-17         1.493333    7.700000  53.766667     9.658333   \n2022-05-18         1.721667    7.141667  52.816667     8.712500   \n2022-05-19         1.705833    7.012500  52.487500     7.966667   \n2022-05-20         1.815417    7.041667  53.208333     8.454167   \n2022-05-21         1.968750    7.241667  53.270833     7.487500   \n2022-05-22         1.800000    7.120833  52.929167     8.608333   \n2022-05-23         2.156667    6.716667  53.529167     8.504167   \n2022-05-24         2.155833    7.191667  53.195833     8.562500   \n2022-05-25         1.666250    7.337500  52.162500     8.283333   \n2022-05-26         1.760833    7.245833  52.087500     8.283333   \n2022-05-27         1.699167    7.358333  52.287500     8.270833   \n2022-05-28         1.708750    7.170833  53.245833     8.679167   \n2022-05-29         1.580000    7.470833  53.304167     8.891667   \n2022-05-30         0.662500   19.554167  39.675000     3.845833   \n2022-05-31         0.663750   19.941667  28.033333     0.454167   \n\n            机组1_烟气流速（m/s） 机组1_状态  \ndays                              \n2022-05-01      10.088750   正常运行  \n2022-05-02      11.147917   正常运行  \n2022-05-03       9.415417   正常运行  \n2022-05-04       9.496250   正常运行  \n2022-05-05      10.636667   正常运行  \n2022-05-06       9.971667   正常运行  \n2022-05-07       9.781667   正常运行  \n2022-05-08      10.417500   正常运行  \n2022-05-09       0.285000     停运  \n2022-05-10       2.819583     停运  \n2022-05-11       1.665833     停运  \n2022-05-12       0.277917     停运  \n2022-05-13       0.507083     停运  \n2022-05-14       0.490417     停运  \n2022-05-15       6.872500     停运  \n2022-05-16      11.232917   正常运行  \n2022-05-17      10.111250   正常运行  \n2022-05-18      10.920833   正常运行  \n2022-05-19      10.968333   正常运行  \n2022-05-20      11.080417   正常运行  \n2022-05-21      11.228333   正常运行  \n2022-05-22      10.908750   正常运行  \n2022-05-23      12.238333   正常运行  \n2022-05-24      11.273333   正常运行  \n2022-05-25      10.549167   正常运行  \n2022-05-26      10.967083   正常运行  \n2022-05-27      10.518750   正常运行  \n2022-05-28      11.337917   正常运行  \n2022-05-29      10.572083   正常运行  \n2022-05-30       0.811667     停运  \n2022-05-31       0.556667     停运  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>机组1_SO2浓度(mg/m3)</th>\n      <th>机组1_烟尘浓度(mg/m3)</th>\n      <th>机组1_含氧量（%）</th>\n      <th>机组1_温度（℃）</th>\n      <th>机组1_烟气湿度（%）</th>\n      <th>机组1_烟气流速（m/s）</th>\n      <th>机组1_状态</th>\n    </tr>\n    <tr>\n      <th>days</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-05-01</th>\n      <td>820965.0</td>\n      <td>12.952083</td>\n      <td>12.856250</td>\n      <td>1.787500</td>\n      <td>7.795833</td>\n      <td>52.320833</td>\n      <td>9.204167</td>\n      <td>10.088750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-02</th>\n      <td>907380.0</td>\n      <td>14.641667</td>\n      <td>11.846250</td>\n      <td>1.717917</td>\n      <td>7.295833</td>\n      <td>53.145833</td>\n      <td>9.016667</td>\n      <td>11.147917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-03</th>\n      <td>771360.0</td>\n      <td>14.414167</td>\n      <td>12.434167</td>\n      <td>1.850833</td>\n      <td>7.650000</td>\n      <td>51.841667</td>\n      <td>8.750000</td>\n      <td>9.415417</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-04</th>\n      <td>780390.0</td>\n      <td>14.922500</td>\n      <td>12.910417</td>\n      <td>1.922083</td>\n      <td>7.462500</td>\n      <td>51.808333</td>\n      <td>8.495833</td>\n      <td>9.496250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-05</th>\n      <td>870075.0</td>\n      <td>14.102917</td>\n      <td>13.716667</td>\n      <td>1.981667</td>\n      <td>7.195833</td>\n      <td>52.354167</td>\n      <td>8.725000</td>\n      <td>10.636667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-06</th>\n      <td>816300.0</td>\n      <td>14.321667</td>\n      <td>14.458750</td>\n      <td>1.729583</td>\n      <td>7.433333</td>\n      <td>51.462500</td>\n      <td>8.858333</td>\n      <td>9.971667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-07</th>\n      <td>804405.0</td>\n      <td>16.310833</td>\n      <td>13.279583</td>\n      <td>1.837917</td>\n      <td>7.333333</td>\n      <td>51.025000</td>\n      <td>8.595833</td>\n      <td>9.781667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-08</th>\n      <td>845610.0</td>\n      <td>18.585417</td>\n      <td>13.300417</td>\n      <td>1.906667</td>\n      <td>7.862500</td>\n      <td>51.854167</td>\n      <td>9.483333</td>\n      <td>10.417500</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-09</th>\n      <td>26370.0</td>\n      <td>6.152083</td>\n      <td>0.403750</td>\n      <td>0.651250</td>\n      <td>19.887500</td>\n      <td>34.925000</td>\n      <td>2.458333</td>\n      <td>0.285000</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-10</th>\n      <td>269970.0</td>\n      <td>-0.208333</td>\n      <td>0.264583</td>\n      <td>1.107500</td>\n      <td>19.912500</td>\n      <td>32.612500</td>\n      <td>0.000000</td>\n      <td>2.819583</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-11</th>\n      <td>163470.0</td>\n      <td>-0.147917</td>\n      <td>0.288333</td>\n      <td>1.262083</td>\n      <td>20.100000</td>\n      <td>22.850000</td>\n      <td>0.000000</td>\n      <td>1.665833</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-12</th>\n      <td>27720.0</td>\n      <td>-0.182083</td>\n      <td>0.225417</td>\n      <td>0.636667</td>\n      <td>20.216667</td>\n      <td>19.625000</td>\n      <td>0.000000</td>\n      <td>0.277917</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-13</th>\n      <td>50760.0</td>\n      <td>-0.140833</td>\n      <td>0.102917</td>\n      <td>0.629583</td>\n      <td>20.270833</td>\n      <td>18.637500</td>\n      <td>0.000000</td>\n      <td>0.507083</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-14</th>\n      <td>48540.0</td>\n      <td>-0.112500</td>\n      <td>0.052083</td>\n      <td>0.626667</td>\n      <td>20.237500</td>\n      <td>21.245833</td>\n      <td>0.345833</td>\n      <td>0.490417</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-15</th>\n      <td>602865.0</td>\n      <td>85.984583</td>\n      <td>6.295833</td>\n      <td>1.590833</td>\n      <td>13.391667</td>\n      <td>39.200000</td>\n      <td>4.379167</td>\n      <td>6.872500</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-16</th>\n      <td>912705.0</td>\n      <td>14.561250</td>\n      <td>13.784583</td>\n      <td>1.407500</td>\n      <td>7.279167</td>\n      <td>53.104167</td>\n      <td>9.058333</td>\n      <td>11.232917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-17</th>\n      <td>816165.0</td>\n      <td>13.918333</td>\n      <td>12.802083</td>\n      <td>1.493333</td>\n      <td>7.700000</td>\n      <td>53.766667</td>\n      <td>9.658333</td>\n      <td>10.111250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-18</th>\n      <td>892620.0</td>\n      <td>14.547083</td>\n      <td>13.451250</td>\n      <td>1.721667</td>\n      <td>7.141667</td>\n      <td>52.816667</td>\n      <td>8.712500</td>\n      <td>10.920833</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-19</th>\n      <td>904860.0</td>\n      <td>15.437083</td>\n      <td>13.886250</td>\n      <td>1.705833</td>\n      <td>7.012500</td>\n      <td>52.487500</td>\n      <td>7.966667</td>\n      <td>10.968333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-20</th>\n      <td>906690.0</td>\n      <td>13.552917</td>\n      <td>13.295000</td>\n      <td>1.815417</td>\n      <td>7.041667</td>\n      <td>53.208333</td>\n      <td>8.454167</td>\n      <td>11.080417</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-21</th>\n      <td>931575.0</td>\n      <td>16.459583</td>\n      <td>11.678333</td>\n      <td>1.968750</td>\n      <td>7.241667</td>\n      <td>53.270833</td>\n      <td>7.487500</td>\n      <td>11.228333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-22</th>\n      <td>891885.0</td>\n      <td>15.156250</td>\n      <td>13.014167</td>\n      <td>1.800000</td>\n      <td>7.120833</td>\n      <td>52.929167</td>\n      <td>8.608333</td>\n      <td>10.908750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-23</th>\n      <td>1000560.0</td>\n      <td>14.451667</td>\n      <td>13.710833</td>\n      <td>2.156667</td>\n      <td>6.716667</td>\n      <td>53.529167</td>\n      <td>8.504167</td>\n      <td>12.238333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-24</th>\n      <td>921300.0</td>\n      <td>13.775000</td>\n      <td>12.157083</td>\n      <td>2.155833</td>\n      <td>7.191667</td>\n      <td>53.195833</td>\n      <td>8.562500</td>\n      <td>11.273333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-25</th>\n      <td>867765.0</td>\n      <td>15.344167</td>\n      <td>12.987083</td>\n      <td>1.666250</td>\n      <td>7.337500</td>\n      <td>52.162500</td>\n      <td>8.283333</td>\n      <td>10.549167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-26</th>\n      <td>902100.0</td>\n      <td>14.439167</td>\n      <td>13.062917</td>\n      <td>1.760833</td>\n      <td>7.245833</td>\n      <td>52.087500</td>\n      <td>8.283333</td>\n      <td>10.967083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-27</th>\n      <td>865320.0</td>\n      <td>14.760000</td>\n      <td>12.725417</td>\n      <td>1.699167</td>\n      <td>7.358333</td>\n      <td>52.287500</td>\n      <td>8.270833</td>\n      <td>10.518750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-28</th>\n      <td>925965.0</td>\n      <td>15.012917</td>\n      <td>14.615833</td>\n      <td>1.708750</td>\n      <td>7.170833</td>\n      <td>53.245833</td>\n      <td>8.679167</td>\n      <td>11.337917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-29</th>\n      <td>861255.0</td>\n      <td>14.035000</td>\n      <td>12.818750</td>\n      <td>1.580000</td>\n      <td>7.470833</td>\n      <td>53.304167</td>\n      <td>8.891667</td>\n      <td>10.572083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-30</th>\n      <td>71640.0</td>\n      <td>0.266667</td>\n      <td>0.770417</td>\n      <td>0.662500</td>\n      <td>19.554167</td>\n      <td>39.675000</td>\n      <td>3.845833</td>\n      <td>0.811667</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>53550.0</td>\n      <td>-0.043333</td>\n      <td>0.085417</td>\n      <td>0.663750</td>\n      <td>19.941667</td>\n      <td>28.033333</td>\n      <td>0.454167</td>\n      <td>0.556667</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_emiss_daily_1"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "outputs": [],
+   "source": [
+    "jtzh_daily_data['企业名称'] = \"建投遵化热电有限责任公司\"\n",
+    "jtzh_save_data = pd.concat([jtzh_daily_data, jtzh_emiss_daily_1, jtzh_emiss_daily_2], axis=1)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2022-05-01      444.630          0        1889        0.000          0   \n2022-05-02      516.594          0        2622        0.000          0   \n2022-05-03      410.316          0        2233        0.000          0   \n2022-05-04      421.908          0        2203        0.000          0   \n2022-05-05      486.318          0        2524        0.000          0   \n2022-05-06      457.542          0        2343        0.000          0   \n2022-05-07      451.140          0        2278        0.000          0   \n2022-05-08      484.986          0        1120      218.196          0   \n2022-05-09        0.000          0           0      444.756          0   \n2022-05-10        0.000          0           0      552.114          0   \n2022-05-11        0.000          0           0      481.542          0   \n2022-05-12        0.000          0           0      439.788          0   \n2022-05-13        0.000          0           0      495.702          0   \n2022-05-14        0.000          0         121      486.624          0   \n2022-05-15      159.936          0        2251      460.524          0   \n2022-05-16      516.192          0        2543      505.578          0   \n2022-05-17      432.300          0        2432      432.450          0   \n2022-05-18      508.680          0        2810      509.586          0   \n2022-05-19      516.066          0        2972      514.404          0   \n2022-05-20      517.356          0        2623      514.434          0   \n2022-05-21      521.454          0        2759      520.626          0   \n2022-05-22      504.798          0        2545      500.040          0   \n2022-05-23      587.400          0        3294      584.886          0   \n2022-05-24      515.964          0        2633      514.488          0   \n2022-05-25      485.346          0        2694      486.474          0   \n2022-05-26      503.502          0        2619      501.366          0   \n2022-05-27      470.340          0        2510      467.106          0   \n2022-05-28      508.644          0        2753      504.900          0   \n2022-05-29      460.536          0        1163      462.822          0   \n2022-05-30        8.610          0           0      528.960          0   \n2022-05-31        0.000          0           0      672.180          0   \n\n            燃料消耗量_2（吨）          企业名称  机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  \\\n2022-05-01           0  建投遵化热电有限责任公司       820965.0         12.952083   \n2022-05-02           0  建投遵化热电有限责任公司       907380.0         14.641667   \n2022-05-03           0  建投遵化热电有限责任公司       771360.0         14.414167   \n2022-05-04           0  建投遵化热电有限责任公司       780390.0         14.922500   \n2022-05-05           0  建投遵化热电有限责任公司       870075.0         14.102917   \n2022-05-06           0  建投遵化热电有限责任公司       816300.0         14.321667   \n2022-05-07         426  建投遵化热电有限责任公司       804405.0         16.310833   \n2022-05-08        1873  建投遵化热电有限责任公司       845610.0         18.585417   \n2022-05-09        2350  建投遵化热电有限责任公司        26370.0          6.152083   \n2022-05-10        2636  建投遵化热电有限责任公司       269970.0         -0.208333   \n2022-05-11        2432  建投遵化热电有限责任公司       163470.0         -0.147917   \n2022-05-12        2099  建投遵化热电有限责任公司        27720.0         -0.182083   \n2022-05-13        2340  建投遵化热电有限责任公司        50760.0         -0.140833   \n2022-05-14        2737  建投遵化热电有限责任公司        48540.0         -0.112500   \n2022-05-15        2461  建投遵化热电有限责任公司       602865.0         85.984583   \n2022-05-16        2615  建投遵化热电有限责任公司       912705.0         14.561250   \n2022-05-17        2593  建投遵化热电有限责任公司       816165.0         13.918333   \n2022-05-18        2871  建投遵化热电有限责任公司       892620.0         14.547083   \n2022-05-19        2637  建投遵化热电有限责任公司       904860.0         15.437083   \n2022-05-20        2682  建投遵化热电有限责任公司       906690.0         13.552917   \n2022-05-21        2581  建投遵化热电有限责任公司       931575.0         16.459583   \n2022-05-22        2632  建投遵化热电有限责任公司       891885.0         15.156250   \n2022-05-23        3187  建投遵化热电有限责任公司      1000560.0         14.451667   \n2022-05-24        2719  建投遵化热电有限责任公司       921300.0         13.775000   \n2022-05-25        2599  建投遵化热电有限责任公司       867765.0         15.344167   \n2022-05-26        2794  建投遵化热电有限责任公司       902100.0         14.439167   \n2022-05-27        2401  建投遵化热电有限责任公司       865320.0         14.760000   \n2022-05-28        2611  建投遵化热电有限责任公司       925965.0         15.012917   \n2022-05-29        2846  建投遵化热电有限责任公司       861255.0         14.035000   \n2022-05-30        2981  建投遵化热电有限责任公司        71640.0          0.266667   \n2022-05-31        3560  建投遵化热电有限责任公司        53550.0         -0.043333   \n\n            机组1_SO2浓度(mg/m3)  ...  机组1_状态  机组2_流量 （m3/h）  机组2_NOx浓度(mg/m3)  \\\n2022-05-01         12.856250  ...    正常运行        64290.0          0.169583   \n2022-05-02         11.846250  ...    正常运行        71235.0          0.143333   \n2022-05-03         12.434167  ...    正常运行        71370.0          1.227500   \n2022-05-04         12.910417  ...    正常运行        73785.0          0.134583   \n2022-05-05         13.716667  ...    正常运行        73605.0          0.075417   \n2022-05-06         14.458750  ...    正常运行        59610.0          0.082083   \n2022-05-07         13.279583  ...    正常运行       128505.0         16.567917   \n2022-05-08         13.300417  ...    正常运行       676485.0        135.337500   \n2022-05-09          0.403750  ...      停运       768375.0         14.072500   \n2022-05-10          0.264583  ...      停运       892770.0         14.628750   \n2022-05-11          0.288333  ...      停运       806250.0         15.005000   \n2022-05-12          0.225417  ...      停运       757695.0         15.691667   \n2022-05-13          0.102917  ...      停运       823410.0         14.090000   \n2022-05-14          0.052083  ...      停运       816600.0         15.875000   \n2022-05-15          6.295833  ...      停运       808785.0         14.118750   \n2022-05-16         13.784583  ...    正常运行       861765.0         15.751250   \n2022-05-17         12.802083  ...    正常运行       792225.0         13.562917   \n2022-05-18         13.451250  ...    正常运行       866895.0         14.520417   \n2022-05-19         13.886250  ...    正常运行       871455.0         14.498333   \n2022-05-20         13.295000  ...    正常运行       862005.0         13.764167   \n2022-05-21         11.678333  ...    正常运行       898170.0         15.342500   \n2022-05-22         13.014167  ...    正常运行       866460.0         16.112083   \n2022-05-23         13.710833  ...    正常运行       974625.0         16.114583   \n2022-05-24         12.157083  ...    正常运行       894960.0         14.147917   \n2022-05-25         12.987083  ...    正常运行       854205.0         15.225417   \n2022-05-26         13.062917  ...    正常运行       874425.0         15.542083   \n2022-05-27         12.725417  ...    正常运行       836100.0         14.040417   \n2022-05-28         14.615833  ...    正常运行       895515.0         15.555833   \n2022-05-29         12.818750  ...    正常运行       837945.0         15.120833   \n2022-05-30          0.770417  ...      停运       915030.0         15.763750   \n2022-05-31          0.085417  ...      停运       992220.0         17.718333   \n\n            机组2_SO2浓度(mg/m3)  机组2_烟尘浓度(mg/m3) 机组2_含氧量（%）  机组2_温度（℃）  \\\n2022-05-01         -1.430417         0.210833  20.512500  13.150000   \n2022-05-02         -1.401250         0.211667  20.416667  15.525000   \n2022-05-03         -1.264167         0.218333  19.479167  22.129167   \n2022-05-04         -1.037500         0.214167  20.095833  26.258333   \n2022-05-05         -0.920417         0.212083  20.150000  23.062500   \n2022-05-06         -0.922083         0.210833  20.308333  15.370833   \n2022-05-07         -0.578333         0.481667  19.883333  17.375000   \n2022-05-08          7.194583         1.159583  10.775000  35.941667   \n2022-05-09         14.240000         0.990417   7.158333  44.408333   \n2022-05-10         14.722083         1.354167   6.433333  44.408333   \n2022-05-11         14.337500         1.321250   6.629167  43.937500   \n2022-05-12         13.880833         1.195833   6.604167  43.604167   \n2022-05-13         13.739583         1.269583   6.254167  43.504167   \n2022-05-14         13.857917         1.365833   6.375000  44.533333   \n2022-05-15         14.242917         1.252500   6.437500  44.541667   \n2022-05-16         14.907500         1.249583   6.450000  45.491667   \n2022-05-17         14.112083         1.308333   6.983333  46.116667   \n2022-05-18         13.890417         1.287917   6.391667  44.933333   \n2022-05-19         15.750417         1.176250   6.395833  44.466667   \n2022-05-20         15.565417         1.099583   6.225000  45.175000   \n2022-05-21         13.702083         1.205833   6.458333  45.204167   \n2022-05-22         14.662917         1.146250   6.337500  45.016667   \n2022-05-23         15.273750         1.201667   5.845833  45.633333   \n2022-05-24         13.437500         1.277083   6.166667  45.575000   \n2022-05-25         14.508750         1.211250   6.295833  44.412500   \n2022-05-26         15.649583         1.173750   6.237500  44.458333   \n2022-05-27         13.172083         1.220417   6.329167  44.741667   \n2022-05-28         14.915417         1.305833   6.183333  45.587500   \n2022-05-29         13.484583         1.341667   6.425000  45.545833   \n2022-05-30         15.673750         1.416667   6.162500  45.175000   \n2022-05-31         16.058750         1.567083   5.570833  46.100000   \n\n            机组2_烟气湿度（%）  机组2_烟气流速（m/s）  机组2_状态  \n2022-05-01     0.000000       0.630417    正常运行  \n2022-05-02     0.000000       0.704583    正常运行  \n2022-05-03     0.200000       0.722917    正常运行  \n2022-05-04     0.016667       0.757500    正常运行  \n2022-05-05     0.212500       0.750000    正常运行  \n2022-05-06     0.000000       0.590417    正常运行  \n2022-05-07     0.104167       1.297083    正常运行  \n2022-05-08     6.804167       7.757917    正常运行  \n2022-05-09    11.366667       9.436250      停运  \n2022-05-10    11.441667      10.987083      停运  \n2022-05-11    10.600000       9.805833      停运  \n2022-05-12    10.866667       9.228333      停运  \n2022-05-13    10.720833      10.015833      停运  \n2022-05-14    11.595833      10.068750      停运  \n2022-05-15    11.550000       9.954583      停运  \n2022-05-16    12.154167      10.716250    正常运行  \n2022-05-17    12.208333       9.870833    正常运行  \n2022-05-18    11.258333      10.660833    正常运行  \n2022-05-19    11.366667      10.697083    正常运行  \n2022-05-20    11.695833      10.653333    正常运行  \n2022-05-21     9.837500      10.888750    正常运行  \n2022-05-22    10.062500      10.512083    正常运行  \n2022-05-23     9.937500      11.813750    正常运行  \n2022-05-24     9.408333      10.788750    正常运行  \n2022-05-25     8.583333      10.172083    正常运行  \n2022-05-26     8.741667      10.432917    正常运行  \n2022-05-27     8.937500       9.993750    正常运行  \n2022-05-28     9.491667      10.801250    正常运行  \n2022-05-29     9.350000      10.090000    正常运行  \n2022-05-30     9.208333      11.002083      停运  \n2022-05-31     9.641667      12.008333      停运  \n\n[31 rows x 25 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>机组1_SO2浓度(mg/m3)</th>\n      <th>...</th>\n      <th>机组1_状态</th>\n      <th>机组2_流量 （m3/h）</th>\n      <th>机组2_NOx浓度(mg/m3)</th>\n      <th>机组2_SO2浓度(mg/m3)</th>\n      <th>机组2_烟尘浓度(mg/m3)</th>\n      <th>机组2_含氧量（%）</th>\n      <th>机组2_温度（℃）</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-05-01</th>\n      <td>444.630</td>\n      <td>0</td>\n      <td>1889</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>820965.0</td>\n      <td>12.952083</td>\n      <td>12.856250</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>64290.0</td>\n      <td>0.169583</td>\n      <td>-1.430417</td>\n      <td>0.210833</td>\n      <td>20.512500</td>\n      <td>13.150000</td>\n      <td>0.000000</td>\n      <td>0.630417</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-02</th>\n      <td>516.594</td>\n      <td>0</td>\n      <td>2622</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>907380.0</td>\n      <td>14.641667</td>\n      <td>11.846250</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>71235.0</td>\n      <td>0.143333</td>\n      <td>-1.401250</td>\n      <td>0.211667</td>\n      <td>20.416667</td>\n      <td>15.525000</td>\n      <td>0.000000</td>\n      <td>0.704583</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-03</th>\n      <td>410.316</td>\n      <td>0</td>\n      <td>2233</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>771360.0</td>\n      <td>14.414167</td>\n      <td>12.434167</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>71370.0</td>\n      <td>1.227500</td>\n      <td>-1.264167</td>\n      <td>0.218333</td>\n      <td>19.479167</td>\n      <td>22.129167</td>\n      <td>0.200000</td>\n      <td>0.722917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-04</th>\n      <td>421.908</td>\n      <td>0</td>\n      <td>2203</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>780390.0</td>\n      <td>14.922500</td>\n      <td>12.910417</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>73785.0</td>\n      <td>0.134583</td>\n      <td>-1.037500</td>\n      <td>0.214167</td>\n      <td>20.095833</td>\n      <td>26.258333</td>\n      <td>0.016667</td>\n      <td>0.757500</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-05</th>\n      <td>486.318</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>870075.0</td>\n      <td>14.102917</td>\n      <td>13.716667</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>73605.0</td>\n      <td>0.075417</td>\n      <td>-0.920417</td>\n      <td>0.212083</td>\n      <td>20.150000</td>\n      <td>23.062500</td>\n      <td>0.212500</td>\n      <td>0.750000</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-06</th>\n      <td>457.542</td>\n      <td>0</td>\n      <td>2343</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816300.0</td>\n      <td>14.321667</td>\n      <td>14.458750</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>59610.0</td>\n      <td>0.082083</td>\n      <td>-0.922083</td>\n      <td>0.210833</td>\n      <td>20.308333</td>\n      <td>15.370833</td>\n      <td>0.000000</td>\n      <td>0.590417</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-07</th>\n      <td>451.140</td>\n      <td>0</td>\n      <td>2278</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>804405.0</td>\n      <td>16.310833</td>\n      <td>13.279583</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>128505.0</td>\n      <td>16.567917</td>\n      <td>-0.578333</td>\n      <td>0.481667</td>\n      <td>19.883333</td>\n      <td>17.375000</td>\n      <td>0.104167</td>\n      <td>1.297083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-08</th>\n      <td>484.986</td>\n      <td>0</td>\n      <td>1120</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>845610.0</td>\n      <td>18.585417</td>\n      <td>13.300417</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>676485.0</td>\n      <td>135.337500</td>\n      <td>7.194583</td>\n      <td>1.159583</td>\n      <td>10.775000</td>\n      <td>35.941667</td>\n      <td>6.804167</td>\n      <td>7.757917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-09</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>26370.0</td>\n      <td>6.152083</td>\n      <td>0.403750</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>768375.0</td>\n      <td>14.072500</td>\n      <td>14.240000</td>\n      <td>0.990417</td>\n      <td>7.158333</td>\n      <td>44.408333</td>\n      <td>11.366667</td>\n      <td>9.436250</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-10</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>269970.0</td>\n      <td>-0.208333</td>\n      <td>0.264583</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>892770.0</td>\n      <td>14.628750</td>\n      <td>14.722083</td>\n      <td>1.354167</td>\n      <td>6.433333</td>\n      <td>44.408333</td>\n      <td>11.441667</td>\n      <td>10.987083</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-11</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>163470.0</td>\n      <td>-0.147917</td>\n      <td>0.288333</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>806250.0</td>\n      <td>15.005000</td>\n      <td>14.337500</td>\n      <td>1.321250</td>\n      <td>6.629167</td>\n      <td>43.937500</td>\n      <td>10.600000</td>\n      <td>9.805833</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-12</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>27720.0</td>\n      <td>-0.182083</td>\n      <td>0.225417</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>757695.0</td>\n      <td>15.691667</td>\n      <td>13.880833</td>\n      <td>1.195833</td>\n      <td>6.604167</td>\n      <td>43.604167</td>\n      <td>10.866667</td>\n      <td>9.228333</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-13</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>50760.0</td>\n      <td>-0.140833</td>\n      <td>0.102917</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>823410.0</td>\n      <td>14.090000</td>\n      <td>13.739583</td>\n      <td>1.269583</td>\n      <td>6.254167</td>\n      <td>43.504167</td>\n      <td>10.720833</td>\n      <td>10.015833</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-14</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>121</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>48540.0</td>\n      <td>-0.112500</td>\n      <td>0.052083</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>816600.0</td>\n      <td>15.875000</td>\n      <td>13.857917</td>\n      <td>1.365833</td>\n      <td>6.375000</td>\n      <td>44.533333</td>\n      <td>11.595833</td>\n      <td>10.068750</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-15</th>\n      <td>159.936</td>\n      <td>0</td>\n      <td>2251</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>602865.0</td>\n      <td>85.984583</td>\n      <td>6.295833</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>808785.0</td>\n      <td>14.118750</td>\n      <td>14.242917</td>\n      <td>1.252500</td>\n      <td>6.437500</td>\n      <td>44.541667</td>\n      <td>11.550000</td>\n      <td>9.954583</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-16</th>\n      <td>516.192</td>\n      <td>0</td>\n      <td>2543</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>912705.0</td>\n      <td>14.561250</td>\n      <td>13.784583</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>861765.0</td>\n      <td>15.751250</td>\n      <td>14.907500</td>\n      <td>1.249583</td>\n      <td>6.450000</td>\n      <td>45.491667</td>\n      <td>12.154167</td>\n      <td>10.716250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-17</th>\n      <td>432.300</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816165.0</td>\n      <td>13.918333</td>\n      <td>12.802083</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>792225.0</td>\n      <td>13.562917</td>\n      <td>14.112083</td>\n      <td>1.308333</td>\n      <td>6.983333</td>\n      <td>46.116667</td>\n      <td>12.208333</td>\n      <td>9.870833</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-18</th>\n      <td>508.680</td>\n      <td>0</td>\n      <td>2810</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>892620.0</td>\n      <td>14.547083</td>\n      <td>13.451250</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>866895.0</td>\n      <td>14.520417</td>\n      <td>13.890417</td>\n      <td>1.287917</td>\n      <td>6.391667</td>\n      <td>44.933333</td>\n      <td>11.258333</td>\n      <td>10.660833</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-19</th>\n      <td>516.066</td>\n      <td>0</td>\n      <td>2972</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>904860.0</td>\n      <td>15.437083</td>\n      <td>13.886250</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>871455.0</td>\n      <td>14.498333</td>\n      <td>15.750417</td>\n      <td>1.176250</td>\n      <td>6.395833</td>\n      <td>44.466667</td>\n      <td>11.366667</td>\n      <td>10.697083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-20</th>\n      <td>517.356</td>\n      <td>0</td>\n      <td>2623</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>906690.0</td>\n      <td>13.552917</td>\n      <td>13.295000</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>862005.0</td>\n      <td>13.764167</td>\n      <td>15.565417</td>\n      <td>1.099583</td>\n      <td>6.225000</td>\n      <td>45.175000</td>\n      <td>11.695833</td>\n      <td>10.653333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-21</th>\n      <td>521.454</td>\n      <td>0</td>\n      <td>2759</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>931575.0</td>\n      <td>16.459583</td>\n      <td>11.678333</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>898170.0</td>\n      <td>15.342500</td>\n      <td>13.702083</td>\n      <td>1.205833</td>\n      <td>6.458333</td>\n      <td>45.204167</td>\n      <td>9.837500</td>\n      <td>10.888750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-22</th>\n      <td>504.798</td>\n      <td>0</td>\n      <td>2545</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>891885.0</td>\n      <td>15.156250</td>\n      <td>13.014167</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>866460.0</td>\n      <td>16.112083</td>\n      <td>14.662917</td>\n      <td>1.146250</td>\n      <td>6.337500</td>\n      <td>45.016667</td>\n      <td>10.062500</td>\n      <td>10.512083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-23</th>\n      <td>587.400</td>\n      <td>0</td>\n      <td>3294</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1000560.0</td>\n      <td>14.451667</td>\n      <td>13.710833</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>974625.0</td>\n      <td>16.114583</td>\n      <td>15.273750</td>\n      <td>1.201667</td>\n      <td>5.845833</td>\n      <td>45.633333</td>\n      <td>9.937500</td>\n      <td>11.813750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-24</th>\n      <td>515.964</td>\n      <td>0</td>\n      <td>2633</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>921300.0</td>\n      <td>13.775000</td>\n      <td>12.157083</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>894960.0</td>\n      <td>14.147917</td>\n      <td>13.437500</td>\n      <td>1.277083</td>\n      <td>6.166667</td>\n      <td>45.575000</td>\n      <td>9.408333</td>\n      <td>10.788750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-25</th>\n      <td>485.346</td>\n      <td>0</td>\n      <td>2694</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>867765.0</td>\n      <td>15.344167</td>\n      <td>12.987083</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>854205.0</td>\n      <td>15.225417</td>\n      <td>14.508750</td>\n      <td>1.211250</td>\n      <td>6.295833</td>\n      <td>44.412500</td>\n      <td>8.583333</td>\n      <td>10.172083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-26</th>\n      <td>503.502</td>\n      <td>0</td>\n      <td>2619</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>902100.0</td>\n      <td>14.439167</td>\n      <td>13.062917</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>874425.0</td>\n      <td>15.542083</td>\n      <td>15.649583</td>\n      <td>1.173750</td>\n      <td>6.237500</td>\n      <td>44.458333</td>\n      <td>8.741667</td>\n      <td>10.432917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-27</th>\n      <td>470.340</td>\n      <td>0</td>\n      <td>2510</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>865320.0</td>\n      <td>14.760000</td>\n      <td>12.725417</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>836100.0</td>\n      <td>14.040417</td>\n      <td>13.172083</td>\n      <td>1.220417</td>\n      <td>6.329167</td>\n      <td>44.741667</td>\n      <td>8.937500</td>\n      <td>9.993750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-28</th>\n      <td>508.644</td>\n      <td>0</td>\n      <td>2753</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>925965.0</td>\n      <td>15.012917</td>\n      <td>14.615833</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>895515.0</td>\n      <td>15.555833</td>\n      <td>14.915417</td>\n      <td>1.305833</td>\n      <td>6.183333</td>\n      <td>45.587500</td>\n      <td>9.491667</td>\n      <td>10.801250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-29</th>\n      <td>460.536</td>\n      <td>0</td>\n      <td>1163</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>861255.0</td>\n      <td>14.035000</td>\n      <td>12.818750</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>837945.0</td>\n      <td>15.120833</td>\n      <td>13.484583</td>\n      <td>1.341667</td>\n      <td>6.425000</td>\n      <td>45.545833</td>\n      <td>9.350000</td>\n      <td>10.090000</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-30</th>\n      <td>8.610</td>\n      <td>0</td>\n      <td>0</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>71640.0</td>\n      <td>0.266667</td>\n      <td>0.770417</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>915030.0</td>\n      <td>15.763750</td>\n      <td>15.673750</td>\n      <td>1.416667</td>\n      <td>6.162500</td>\n      <td>45.175000</td>\n      <td>9.208333</td>\n      <td>11.002083</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>53550.0</td>\n      <td>-0.043333</td>\n      <td>0.085417</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>992220.0</td>\n      <td>17.718333</td>\n      <td>16.058750</td>\n      <td>1.567083</td>\n      <td>5.570833</td>\n      <td>46.100000</td>\n      <td>9.641667</td>\n      <td>12.008333</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n<p>31 rows × 25 columns</p>\n</div>"
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "jtzh_save_data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "outputs": [],
+   "source": [
+    "writer = pd.ExcelWriter('data/电厂日数据.xlsx',engine='openpyxl')\n",
+    "\n",
+    "zjxz_save_data.to_excel(writer,\"浙江秀舟\")\n",
+    "wxxs_save_data.to_excel(writer,\"武乡西山\")\n",
+    "hddj_save_data.to_excel(writer,\"邯郸东郊\")\n",
+    "jtzh_save_data.to_excel(writer,\"建投遵化\")\n",
+    "\n",
+    "writer.save()\n",
+    "writer.close()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
   }
  ],
  "metadata": {
diff --git a/机组小时数据处理.ipynb b/机组小时数据处理.ipynb
new file mode 100644
index 0000000..59bad0c
--- /dev/null
+++ b/机组小时数据处理.ipynb
@@ -0,0 +1,78 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import datetime as dt\n",
+    "import numpy as np"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "                 电厂  机组                 监测日期   流量 （m3/h）  含氧量（%）  温度（℃）  \\\n0        浙江秀舟热电有限公司   1  2018-03-23 00:00:00   244136.19     7.7   51.4   \n1        浙江秀舟热电有限公司   1  2018-03-23 01:00:00   234599.89     7.8   51.3   \n2        浙江秀舟热电有限公司   1  2018-03-23 02:00:00   249264.88     7.3   54.9   \n3        浙江秀舟热电有限公司   1  2018-03-23 03:00:00   229360.17     7.5   52.7   \n4        浙江秀舟热电有限公司   1  2018-03-23 04:00:00   236416.45     7.2   55.1   \n...             ...  ..                  ...         ...     ...    ...   \n38035  建投遵化热电有限责任公司   2  2022-05-31 19:00:00  1111320.00     4.8   47.5   \n38036  建投遵化热电有限责任公司   2  2022-05-31 20:00:00  1090440.00     4.7   47.6   \n38037  建投遵化热电有限责任公司   2  2022-05-31 21:00:00  1106640.00     4.5   46.5   \n38038  建投遵化热电有限责任公司   2  2022-05-31 22:00:00  1103040.00     4.6   46.2   \n38039  建投遵化热电有限责任公司   2  2022-05-31 23:00:00   912240.00     5.7   46.2   \n\n       NOx实测浓度(mg/m3)  SO2实测浓度(mg/m3)  烟尘实测浓度(mg/m3)  烟气湿度（%）  烟气压力（千帕）  \\\n0           24.212548        0.752494       1.014598      NaN       NaN   \n1           25.348257        0.642777       0.989539      NaN       NaN   \n2           17.562606        1.823513       1.137605      NaN       NaN   \n3           20.513299        1.650563       1.136867      NaN       NaN   \n4           15.354987        1.379341       1.128551      NaN       NaN   \n...               ...             ...            ...      ...       ...   \n38035       23.500000       18.540000       1.700000     10.4       NaN   \n38036       20.600000       19.750000       1.660000     10.4       NaN   \n38037       22.120000       18.550000       1.680000      8.6       NaN   \n38038       22.500000       18.040000       1.570000      9.4       NaN   \n38039       15.940000       12.920000       1.400000      9.5       NaN   \n\n       烟气流速（m/s）  \n0            NaN  \n1            NaN  \n2            NaN  \n3            NaN  \n4            NaN  \n...          ...  \n38035      13.60  \n38036      13.35  \n38037      13.24  \n38038      13.30  \n38039      11.03  \n\n[38040 rows x 12 columns]",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>电厂</th>\n      <th>机组</th>\n      <th>监测日期</th>\n      <th>流量 （m3/h）</th>\n      <th>含氧量（%）</th>\n      <th>温度（℃）</th>\n      <th>NOx实测浓度(mg/m3)</th>\n      <th>SO2实测浓度(mg/m3)</th>\n      <th>烟尘实测浓度(mg/m3)</th>\n      <th>烟气湿度（%）</th>\n      <th>烟气压力（千帕）</th>\n      <th>烟气流速（m/s）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>1</td>\n      <td>2018-03-23 00:00:00</td>\n      <td>244136.19</td>\n      <td>7.7</td>\n      <td>51.4</td>\n      <td>24.212548</td>\n      <td>0.752494</td>\n      <td>1.014598</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>1</td>\n      <td>2018-03-23 01:00:00</td>\n      <td>234599.89</td>\n      <td>7.8</td>\n      <td>51.3</td>\n      <td>25.348257</td>\n      <td>0.642777</td>\n      <td>0.989539</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>1</td>\n      <td>2018-03-23 02:00:00</td>\n      <td>249264.88</td>\n      <td>7.3</td>\n      <td>54.9</td>\n      <td>17.562606</td>\n      <td>1.823513</td>\n      <td>1.137605</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>1</td>\n      <td>2018-03-23 03:00:00</td>\n      <td>229360.17</td>\n      <td>7.5</td>\n      <td>52.7</td>\n      <td>20.513299</td>\n      <td>1.650563</td>\n      <td>1.136867</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>浙江秀舟热电有限公司</td>\n      <td>1</td>\n      <td>2018-03-23 04:00:00</td>\n      <td>236416.45</td>\n      <td>7.2</td>\n      <td>55.1</td>\n      <td>15.354987</td>\n      <td>1.379341</td>\n      <td>1.128551</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>38035</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>2</td>\n      <td>2022-05-31 19:00:00</td>\n      <td>1111320.00</td>\n      <td>4.8</td>\n      <td>47.5</td>\n      <td>23.500000</td>\n      <td>18.540000</td>\n      <td>1.700000</td>\n      <td>10.4</td>\n      <td>NaN</td>\n      <td>13.60</td>\n    </tr>\n    <tr>\n      <th>38036</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>2</td>\n      <td>2022-05-31 20:00:00</td>\n      <td>1090440.00</td>\n      <td>4.7</td>\n      <td>47.6</td>\n      <td>20.600000</td>\n      <td>19.750000</td>\n      <td>1.660000</td>\n      <td>10.4</td>\n      <td>NaN</td>\n      <td>13.35</td>\n    </tr>\n    <tr>\n      <th>38037</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>2</td>\n      <td>2022-05-31 21:00:00</td>\n      <td>1106640.00</td>\n      <td>4.5</td>\n      <td>46.5</td>\n      <td>22.120000</td>\n      <td>18.550000</td>\n      <td>1.680000</td>\n      <td>8.6</td>\n      <td>NaN</td>\n      <td>13.24</td>\n    </tr>\n    <tr>\n      <th>38038</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>2</td>\n      <td>2022-05-31 22:00:00</td>\n      <td>1103040.00</td>\n      <td>4.6</td>\n      <td>46.2</td>\n      <td>22.500000</td>\n      <td>18.040000</td>\n      <td>1.570000</td>\n      <td>9.4</td>\n      <td>NaN</td>\n      <td>13.30</td>\n    </tr>\n    <tr>\n      <th>38039</th>\n      <td>建投遵化热电有限责任公司</td>\n      <td>2</td>\n      <td>2022-05-31 23:00:00</td>\n      <td>912240.00</td>\n      <td>5.7</td>\n      <td>46.2</td>\n      <td>15.940000</td>\n      <td>12.920000</td>\n      <td>1.400000</td>\n      <td>9.5</td>\n      <td>NaN</td>\n      <td>11.03</td>\n    </tr>\n  </tbody>\n</table>\n<p>38040 rows × 12 columns</p>\n</div>"
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hourly_data = pd.read_excel('data/机组小时数据.xlsx')\n",
+    "hourly_data"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/电厂联合建模.ipynb b/电厂联合建模.ipynb
new file mode 100644
index 0000000..1db2aea
--- /dev/null
+++ b/电厂联合建模.ipynb
@@ -0,0 +1,37 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file