diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..dbc8724 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Datasource local storage ignored files +/../../../../../../../:\Users\ZYY\Desktop\金风科技\gw\.idea/dataSources/ +/dataSources.local.xml +# Editor-based HTTP Client requests +/httpRequests/ diff --git a/.idea/gw.iml b/.idea/gw.iml new file mode 100644 index 0000000..3f2973d --- /dev/null +++ b/.idea/gw.iml @@ -0,0 +1,12 @@ + + + + + + + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 0000000..fed41dc --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,51 @@ + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..015c38a --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..4077a37 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file 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 @@ + + + + + + \ No newline at end of file diff --git a/app.py b/app.py index 0ed1711..bc859f8 100644 --- a/app.py +++ b/app.py @@ -12,13 +12,17 @@ from simulation_model import SimulationModel matplotlib.rcParams["font.family"] = ["Microsoft YaHei", "SimHei", "sans-serif"] matplotlib.rcParams["axes.unicode_minus"] = False +# set year +year = json.load(open('year.json', 'r', encoding='utf-8'))['year'] +filename = f"{year}" + # Load default parameters from data/model_params.json -with open("data/model_params.json", "r", encoding="utf-8") as f: +with open(f"data/{filename}/model_params.json", "r", encoding="utf-8") as f: _cfg = json.load(f) def _load_factory_name_map(): try: - with open("data/factory_mapping.json", "r", encoding="utf-8") as f: + with open(f"data/{filename}/factory_mapping.json", "r", encoding="utf-8") as f: data = json.load(f) except FileNotFoundError: return {} @@ -31,9 +35,9 @@ FACTORY_NAME_MAP = _load_factory_name_map() def _load_product_catalog(): try: try: - df = pd.read_csv("data/product.csv", encoding="utf-8") + df = pd.read_csv(f"data/{filename}/product.csv", encoding="utf-8") except UnicodeDecodeError: - df = pd.read_csv("data/product.csv", encoding="gbk") + df = pd.read_csv(f"data/{filename}/product.csv", encoding="gbk") except FileNotFoundError: return pd.DataFrame() df.columns = [c.strip() for c in df.columns] diff --git a/build_distance_matrix.py b/build_distance_matrix.py index 6b629ee..aeeb9c8 100644 --- a/build_distance_matrix.py +++ b/build_distance_matrix.py @@ -1,8 +1,12 @@ import math from pathlib import Path +import json import pandas as pd +# set year +year = json.load(open('year.json', 'r', encoding='utf-8'))['year'] +filename = f"{year}" def haversine(lat1, lon1, lat2, lon2): R = 6371.0 # Earth radius in km @@ -41,8 +45,8 @@ def _infer_coords(df, name_col, lat_col, lon_col): def main(): - demand = _read_csv_flexible("data/DemandLocation.csv") - factory = _read_csv_flexible("data/FactoryLocation.csv") + demand = _read_csv_flexible(f"data/{filename}/DemandLocation.csv") + factory = _read_csv_flexible(f"data/{filename}/FactoryLocation.csv") # Demand: assume first column name, last two numeric demand_coords = _infer_coords(demand, demand.columns[0], demand.columns[-2], demand.columns[-1]) @@ -56,7 +60,7 @@ def main(): rows.append({"demand_city": drow["name"], "factory": frow["name"], "distance_km": dist}) df = pd.DataFrame(rows) - out_path = Path("data") / "distance_matrix.csv" + out_path = Path("data") / filename / "distance_matrix.csv" df.to_csv(out_path, index=False, encoding="utf-8-sig") print(f"Saved {len(df)} rows to {out_path}") diff --git a/data/DemandLocation.csv b/data/2025/DemandLocation.csv similarity index 100% rename from data/DemandLocation.csv rename to data/2025/DemandLocation.csv diff --git a/data/FactoryLocation.csv b/data/2025/FactoryLocation.csv similarity index 100% rename from data/FactoryLocation.csv rename to data/2025/FactoryLocation.csv diff --git a/data/ProductionLine.csv b/data/2025/ProductionLine.csv similarity index 100% rename from data/ProductionLine.csv rename to data/2025/ProductionLine.csv diff --git a/data/ProductionLine未修改.csv b/data/2025/ProductionLine未修改.csv similarity index 100% rename from data/ProductionLine未修改.csv rename to data/2025/ProductionLine未修改.csv diff --git a/data/benchmark.csv b/data/2025/benchmark.csv similarity index 100% rename from data/benchmark.csv rename to data/2025/benchmark.csv diff --git a/data/benchmark未修改.csv b/data/2025/benchmark未修改.csv similarity index 100% rename from data/benchmark未修改.csv rename to data/2025/benchmark未修改.csv diff --git a/data/demand.csv b/data/2025/demand.csv similarity index 100% rename from data/demand.csv rename to data/2025/demand.csv diff --git a/data/distance_matrix.csv b/data/2025/distance_matrix.csv similarity index 100% rename from data/distance_matrix.csv rename to data/2025/distance_matrix.csv diff --git a/data/factory_mapping.json b/data/2025/factory_mapping.json similarity index 100% rename from data/factory_mapping.json rename to data/2025/factory_mapping.json diff --git a/data/ga_best_params.json b/data/2025/ga_best_params.json similarity index 100% rename from data/ga_best_params.json rename to data/2025/ga_best_params.json diff --git a/data/ga_two_best_params.json b/data/2025/ga_two_best_params.json similarity index 100% rename from data/ga_two_best_params.json rename to data/2025/ga_two_best_params.json diff --git a/data/model_params.json b/data/2025/model_params.json similarity index 100% rename from data/model_params.json rename to data/2025/model_params.json diff --git a/data/month_hours.json b/data/2025/month_hours.json similarity index 100% rename from data/month_hours.json rename to data/2025/month_hours.json diff --git a/data/product.csv b/data/2025/product.csv similarity index 100% rename from data/product.csv rename to data/2025/product.csv diff --git a/data/transportation_price.csv b/data/2025/transportation_price.csv similarity index 100% rename from data/transportation_price.csv rename to data/2025/transportation_price.csv diff --git a/data/2026/DemandLocation.csv b/data/2026/DemandLocation.csv new file mode 100644 index 0000000..6f21828 --- /dev/null +++ b/data/2026/DemandLocation.csv @@ -0,0 +1,144 @@ +需求方,经度,纬度 +三门峡市,111.581892,34.592412 +中卫市,104.326348,37.42582674 +临汾市,110.932602,36.701483 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+玉林市,110.140777,22.17541 +白城市,123.906296,45.50445 +百色市,105.9323029,24.4875734 +益阳市,110.8754869,28.10226778 +石嘴山市,106.73275,39.311389 +石家庄市,115.2952541,38.05914302 +福州市,119.822945,25.70443 +秦皇岛市,119.2400992,39.53770068 +绥化市,127.581712,46.566521 +聊城市,115.4099,36.5642 +肇庆市,111.760106,23.389788 +舟山市,122.4511905,30.71554993 +荆州市,112.2145266,29.71230666 +荆门市,112.590853,31.324363 +菏泽市,114.963132,35.010382 +葫芦岛市,120.69668,40.701877 +衡水市,115.432929,38.006891 +衡阳市,113.102476,26.493039 +西双版纳傣族自治州,100.14889,21.895327 +贺州市,110.9823,24.1578 +赣州市,114.879181,25.768879 +赤峰市,119.149283,42.346073 +辽阳市,123.438258,41.423986 +运城市,111.8791446,35.53009921 +通辽市,121.079033,43.025639 +邢台市,114.9568513,37.40531178 +鄂尔多斯市,110.669035,40.003893 +酒泉市,97.142116,40.792238 +重庆市,108.012898,29.179982 +钦州市,109.3893375,22.15819114 +铁岭市,124.2644724,42.49896058 +铜仁市,108.504004,28.563993 +锡林郭勒盟,114.8256,44.5873 +锦州市,121.510124,40.97325273 +长治市,113.2897751,36.64968365 +阜新市,122.3265839,42.47209691 +阜阳市,114.967423,33.016503 +阳江市,112.0157107,20.9886087 +阳泉市,113.148888,38.211682 +阿勒泰地区,85.62480544,47.14043099 +阿拉善盟,102.9916978,41.55100087 +青岛市,119.3,35.35 +鞍山市,122.3749923,41.31678205 +韶关市,113.942717,24.799238 +鸡西市,131.0588352,45.39378434 +黄冈市,115.937974,29.922599 +黑河市,125.757015,50.173726 +黔西南布依族苗族自治州,105.87635,24.965761 +黔西市,107.3258,25.8312 +齐齐哈尔市,123.735436,46.988629 +济南市,117.02,36.40 +安阳市,114,35.72 +白银市,104.09,36.41 +毕节市,106,26.86 +邯郸市,114.47,36.60 +七台河市,131.01,45.78 +通化市,125.95,41.73 +盐城市,120.17,33.36 +本溪市,123.69,41.49 +亳州市,115.78,33.85 +鹤岗市,130.30,47.36 +开封市,114.32,34.80 +洛阳市,112.45,34.72 +莆田市,119.01,25.46 +新乡市,113.81,35.20 +伊犁哈萨克自治州,43.916823,81.324136 +镇江市,119.43,32.19 diff --git a/data/2026/FactoryLocation.csv b/data/2026/FactoryLocation.csv new file mode 100644 index 0000000..7916ff3 --- /dev/null +++ b/data/2026/FactoryLocation.csv @@ -0,0 +1,33 @@ +,,γ +,97.142116,40.792238 +ű,114.366182,41.115161 +ʱ,93.2830057,43.96107218 +ʱɫ,105.9323029,24.4875734 +ʱ˹,110.669035,40.003893 +ʱ,119.5548,33.3112 +ʱԭ,123.5325177,44.3099525 +ʱ޶,113.151737,27.835806 +ʱ޹,113.151737,27.835806 +˫,120.43,33.11 +˫Ӫ,118.07,36.55 +˫ͨ,121.079033,43.025639 +˳,115.0742,35.7773 +˳ɳ,112.590853,31.324363 +вİ,55,20 +вİ׳,123.906296,45.50445 +вĸ,119.8,33.8 +вĹ,93.2830057,43.96107218 +вĺ,113.27,36.02 +вľȪ,97.142116,40.792238 +вƸ,119.13,34.36 +вƼ,113.89,27.66 +в,69,41 +в,114.8256,44.5873 +в˰,122.089308,45.921339 +в,112.0157107,20.9886087 +в,93.2830057,43.96107218 +иϪ,101.16,23.19 +ͨ,90.524934,44.753213 +ͨ,123.906296,45.50445 +ͨ綫,120.42,32.12 +ͨ,103.9680036,39.09623555 diff --git a/data/2026/ProductionLine.csv b/data/2026/ProductionLine.csv new file mode 100644 index 0000000..045c01e --- /dev/null +++ b/data/2026/ProductionLine.csv @@ -0,0 +1,138 @@ +区域名,工厂名,是否新工厂,产线ID,生产型号,开始月份,结束月份 +西北东部,艾郎玉门,否,艾郎玉门1,GWBD-A2,1,12 +西北东部,艾郎玉门,否,艾郎玉门2,GWBD-A2,1,12 +华北,艾郎张北,否,艾郎张北1,GWBD-A2,1,12 +华北,艾郎张北,否,艾郎张北2,GWBD-A2,1,12 +西北西部,时代巴里坤,否,时代巴里坤1,GWBD-A2,1,12 +西北西部,时代巴里坤,否,时代巴里坤2,GWBD-A2,1,12 +华南,时代百色,否,时代百色1,GWBD-A3,1,12 +华南,时代百色,否,时代百色2,GWBD-A3,1,12 +华北,时代鄂尔多斯,是,时代鄂尔多斯1,GWBD-A3,5,12 +华北,时代鄂尔多斯,是,时代鄂尔多斯2,GWBD-A3,5,12 +华东南北部,时代射阳,否,时代射阳1,GW130,1,12 +华东南北部,时代射阳,否,时代射阳2,GW130,1,12 +华东南北部,时代射阳,是,时代射阳3,GWBD-A3,5,12 +华东南北部,时代射阳,是,时代射阳4,GWBD-A3,5,12 +华东南北部,时代射阳,是,时代射阳5,GWBD-E,5,12 +华东南北部,时代射阳,是,时代射阳6,GWBD-E,6,12 +东北,时代松原,否,时代松原1,GWBD-A3,1,12 +东北,时代松原,否,时代松原2,GWBD-A3,1,12 +东北,时代松原,否,时代松原3,GWBD-A3,3,12 +东北,时代松原,否,时代松原4,GWBD-A3,3,12 +东北,时代松原,是,时代松原5,GWBD-A3,5,12 +东北,时代松原,是,时代松原6,GWBD-A3,5,12 +华东南南部,时代株洲动力谷,否,时代株洲动力谷1,GW99A,1,12 +华东南南部,时代株洲动力谷,否,时代株洲动力谷2,GW99A,1,12 +华东南南部,时代株洲光明,是,时代株洲光明1,GWBD-A3,7,12 +华东南南部,时代株洲光明,是,时代株洲光明2,GWBD-A3,7,12 +华东南南部,时代株洲光明,是,时代株洲光明3,GWBD-A3,7,12 +华东南南部,时代株洲光明,是,时代株洲光明4,GWBD-A3,7,12 +华东南北部,双瑞大丰,是,双瑞大丰1,GWBD-A3,6,12 +华东南北部,双瑞大丰,是,双瑞大丰2,GWBD-A3,6,12 +华东南北部,双瑞东营,否,双瑞东营1,GWBD-A2,1,12 +华东南北部,双瑞东营,否,双瑞东营2,GWBD-A2,1,12 +华东南北部,双瑞东营,否,双瑞东营3,GWBD-A2,1,12 +华东南北部,双瑞东营,否,双瑞东营4,GWBD-A2,1,12 +东北,双瑞通辽,是,双瑞通辽1,GWBD-A3,5,12 +东北,双瑞通辽,是,双瑞通辽2,GWBD-A3,5,12 +东北,双瑞通辽,是,双瑞通辽3,GWBD-A3,6,12 +华东南北部,天顺濮阳,否,天顺濮阳1,GW99A,1,12 +华东南北部,天顺濮阳,否,天顺濮阳2,GW99A,1,12 +华东南北部,天顺沙洋,是,天顺沙洋1,GWBD-A3,3,12 +华东南北部,天顺沙洋,是,天顺沙洋2,GWBD-A3,3,12 +华东南北部,天顺沙洋,是,天顺沙洋3,GWBD-A3,5,12 +华东南北部,天顺沙洋,是,天顺沙洋4,GWBD-A3,5,12 +华东南北部,天顺沙洋,是,天顺沙洋3,GW99A,1,3 +华东南北部,天顺沙洋,是,天顺沙洋4,GW99A,1,3 +国际,中材巴西,是,中材巴西1,SI90.2,5,12 +国际,中材巴西,是,中材巴西2,SI90.2,5,12 +东北,中材白城,是,中材白城1,GWBD-A2,4,12 +东北,中材白城,是,中材白城2,GWBD-A2,4,12 +华东南北部,中材阜宁,否,中材阜宁1,SI90.2,1,12 +华东南北部,中材阜宁,否,中材阜宁2,SI90.2,1,12 +华东南北部,中材阜宁,否,中材阜宁3,SI90.2,1,12 +华东南北部,中材阜宁,否,中材阜宁4,SI90.2,1,12 +华东南北部,中材阜宁,否,中材阜宁5,SI90.2,1,12 +华东南北部,中材阜宁,否,中材阜宁6,SI90.2,1,12 +华东南北部,中材阜宁,否,中材阜宁7,GW76,2,12 +华东南北部,中材阜宁,否,中材阜宁8,GW76,2,12 +华东南北部,中材阜宁,是,中材阜宁9,GWBD-E,2,12 +华东南北部,中材阜宁,是,中材阜宁9,GW83.4,1,1 +国际,中材阜宁,是,中材阜宁10,GWBD-E,3,12 +国际,中材阜宁,是,中材阜宁11,GWBD-E,3,12 +国际,中材阜宁,是,中材阜宁12,GWBD-E,4,12 +西北西部,中材哈密,是,中材哈密1,GWBD-A2,4,12 +西北西部,中材哈密,是,中材哈密2,GWBD-A2,4,12 +西北西部,中材哈密,是,中材哈密3,GWBD-A2,5,12 +华北,中材邯郸,否,中材邯郸1,GW99A,1,12 +华北,中材邯郸,否,中材邯郸2,GW99A,1,12 +华北,中材邯郸,否,中材邯郸3,GWBD-A2,1,12 +华北,中材邯郸,否,中材邯郸4,GWBD-A2,1,12 +西北东部,中材酒泉,否,中材酒泉1,GW99,1,12 +西北东部,中材酒泉,否,中材酒泉2,GW99,1,12 +西北东部,中材酒泉,否,中材酒泉3,GWBD-A2,1,12 +西北东部,中材酒泉,否,中材酒泉4,GWBD-A2,1,12 +西北东部,中材酒泉,否,中材酒泉5,GWBD-A2,1,12 +西北东部,中材酒泉,否,中材酒泉6,GWBD-A2,1,12 +西北东部,中材酒泉,是,中材酒泉7,SI90.2,1,12 +西北东部,中材酒泉,是,中材酒泉8,SI90.2,1,12 +华东南北部,中材连云港,是,中材连云港1,GW93,3,9 +华东南北部,中材连云港,是,中材连云港2,GW93,3,9 +华东南北部,中材连云港,是,中材连云港1,GW93,10,12 +华东南北部,中材连云港,是,中材连云港2,GW93,10,12 +华东南北部,中材连云港,是,中材连云港3,GW80.5,1,2 +华东南北部,中材连云港,是,中材连云港3,GWBD-D,3,12 +华东南北部,中材连云港,是,中材连云港4,GWBD-D,3,12 +华东南北部,中材连云港,是,中材连云港5,GWBD-A2,4,12 +华东南北部,中材连云港,是,中材连云港6,GWBD-A2,4,12 +华东南北部,中材连云港,是,中材连云港7,GWBD-A2,4,12 +华东南北部,中材连云港,是,中材连云港8,GWBD-A2,4,12 +华东南北部,中材连云港,是,中材连云港9,GW80.5,2,4 +华东南北部,中材连云港,是,中材连云港9,GWBD-E,5,12 +华东南北部,中材连云港,是,中材连云港10,GWBD-E,5,12 +华东南北部,中材连云港,是,中材连云港11,SI90.2,5,12 +华东南北部,中材连云港,是,中材连云港12,SI90.2,5,12 +华东南南部,中材萍乡,否,中材萍乡1,GWBD-A3,1,12 +华东南南部,中材萍乡,否,中材萍乡2,GWBD-A2,4,12 +华东南南部,中材萍乡,否,中材萍乡3,GWBD-A2,4,12 +华东南南部,中材萍乡,是,中材萍乡4,GWBD-A3,1,12 +国际,中材乌兹,否,中材乌兹1,SI90.2,7,12 +国际,中材乌兹,否,中材乌兹2,SI90.2,7,12 +东北,中材锡林,否,中材锡林1,GW99,1,12 +东北,中材锡林,否,中材锡林2,GW99,1,12 +东北,中材锡林,否,中材锡林3,GWBD-A2,1,12 +东北,中材锡林,否,中材锡林4,GWBD-A2,1,12 +东北,中材锡林,否,中材锡林5,GWBD-A2,1,12 +东北,中材兴安盟,否,中材兴安盟1,GWBD-B,4,12 +东北,中材兴安盟,否,中材兴安盟2,GWBD-B,5,12 +华南,中材阳江,否,中材阳江1,GW130,1,12 +华南,中材阳江,否,中材阳江2,GW130,1,12 +华南,中材阳江,否,中材阳江3,SI122,1,12 +华南,中材阳江,否,中材阳江4,SI122,1,12 +华南,中材阳江,否,中材阳江5,GW130,4,12 +西北西部,中材伊吾,否,中材伊吾1,GWBD-A2,1,12 +西北西部,中材伊吾,否,中材伊吾2,GWBD-A2,1,12 +西北西部,中材伊吾,否,中材伊吾3,GWBD-A2,4,12 +西北西部,中材伊吾,否,中材伊吾4,GWBD-A2,4,12 +西北西部,中材伊吾,否,中材伊吾5,GWBD-A2,4,12 +西北西部,中材伊吾,否,中材伊吾6,GWBD-A2,4,12 +华南,中复玉溪,否,中复玉溪1,GW93,1,12 +华南,中复玉溪,否,中复玉溪2,GW93,1,12 +西北西部,重通昌吉,否,重通昌吉1,GWBD-A2,1,12 +西北西部,重通昌吉,否,重通昌吉2,GWBD-A2,1,12 +西北西部,重通昌吉,否,重通昌吉3,GWBD-A2,1,12 +东北,重通大安,否,重通大安1,GWBD-A2,1,12 +东北,重通大安,否,重通大安2,GWBD-A2,1,12 +东北,重通大安,否,重通大安3,GWBD-A2,1,12 +华东南北部,重通如东,否,重通如东1,GW76,1,12 +华东南北部,重通如东,否,重通如东2,GW76,1,12 +华东南北部,重通如东,否,重通如东3,GW81,1,12 +华东南北部,重通如东,否,重通如东4,GW81,1,12 +华东南北部,重通如东,否,重通如东5,GW86,1,3 +华东南北部,重通如东,否,重通如东5,GW83.3,4,8 +华东南北部,重通如东,否,重通如东5,GW86,9,12 +华东南北部,重通如东,否,重通如东6,SI90.2,9,12 +西北东部,重通武威,否,重通武威1,GWBD-A2,1,12 +西北东部,重通武威,否,重通武威2,GWBD-A2,1,12 +西北东部,重通武威,否,重通武威3,GWBD-A3,1,12 +西北东部,重通武威,否,重通武威4,GWBD-A3,1,12 diff --git a/data/2026/benchmark.csv b/data/2026/benchmark.csv new file mode 100644 index 0000000..c423fa6 --- /dev/null +++ b/data/2026/benchmark.csv @@ -0,0 +1,33 @@ +,1,2,3,4,5,6,7,8,9,10,11,12,ȫ +,12,4,12,12,12,12,12,12,12,8,12,12,132 +ű,12,4,12,12,12,12,12,12,12,8,12,12,132 +ʱ,10,4,10,10,10,10,10,10,10,8,10,10,112 +ʱɫ,11,4,10,11,11,11,11,11,11,8,11,11,121 +ʱ˹,0,0,0,0,1,3,6,10,10,8,10,10,58 +ʱ,6,2,4,6,8,12,19,26,26,20,26,26,181 +ʱԭ,11,4,11,14,18,25,28,32,32,24,32,32,263 +ʱ޶,10,6,12,12,12,12,12,12,12,8,12,12,132 +ʱ޹,0,0,0,0,0,0,2,6,16,16,24,24,88 +˫,0,0,1,0,0,1,3,6,10,8,10,10,49 +˫Ӫ,15,8,15,15,15,15,15,15,15,10,15,15,168 +˫ͨ,0,0,0,0,1,4,9,15,15,12,15,15,86 +˳,4,4,10,10,10,10,10,10,10,8,10,10,106 +˳ɳ,11,4,12,3,6,11,13,18,18,14,18,18,146 +вİ,0,0,0,0,1,3,3,4,6,6,10,10,43 +вİ׳,0,0,0,1,3,6,8,10,10,8,10,10,66 +вĸ,25,14,39,49,59,61,61,61,61,49,49,51,579 +вĹ,0,0,0,1,4,8,12,15,15,12,15,15,97 +вĺ,22,8,21,22,22,22,22,23,23,16,23,23,247 +вľȪ,37,17,37,40,40,40,30,40,43,36,46,46,452 +вƸ,4,3,5,13,26,42,54,58,56,42,56,56,415 +вƼ,12,4,12,13,15,18,20,22,22,16,22,22,198 +в,0,0,0,0,0,0,1,3,4,6,6,10,30 +в,26,12,21,27,27,27,27,27,27,20,27,27,295 +в˰,0,0,0,1,4,8,10,10,10,8,10,10,71 +в,6,4,8,11,12,13,13,13,13,9,13,13,128 +в,10,2,6,12,16,22,26,30,30,24,30,30,238 +иϪ,0,0,0,1,3,5,8,8,6,8,8,8,55 +ͨ,20,10,14,20,20,21,21,21,21,18,21,21,228 +ͨ,13,4,12,17,18,18,18,18,18,17,18,18,189 +ͨ綫,27,8,15,27,28,29,29,16,21,23,25,25,273 +ͨ,31,8,20,28,28,28,28,28,28,26,28,28,309 diff --git a/data/2026/demand.csv b/data/2026/demand.csv new file mode 100644 index 0000000..de158fa --- /dev/null +++ b/data/2026/demand.csv @@ -0,0 +1,490 @@ +生产型号,省份,市,需求区域,1月,2月,3月,4月,5月,6月,7月,8月,9月,10月,11月,12月,总量 +GWBD-A2,内蒙古,阿拉善盟,华北,,,,,3.0,2.0,,,1.0,4.0,,,10 +GWBD-A2,新疆,阿勒泰地区,西北西部,,,2.0,5.0,5.0,,,,,,,,12 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b/data/2026/factory_mapping.json @@ -0,0 +1,34 @@ +{ + "艾郎玉门": "AilangYumen", + "艾郎张北": "AilangZhangbei", + "时代巴里坤": "ShidaiBalikun", + "时代百色": "ShidaiBaise", + "时代鄂尔多斯": "ShidaiEerduosi", + "时代射阳": "ShidaiSheyang", + "时代松原": "ShidaiSongyuan", + "时代株洲动力谷": "ShidaiZhuzhouDongligu", + "时代株洲光明": "ShidaiZhuzhouGuangming", + "双瑞大丰": "ShuangruiDafeng", + "双瑞东营": "ShuangruiDongying", + "双瑞通辽": "ShuangruiTongliao", + "天顺濮阳": "TianshunPuyang", + "天顺沙洋": "TianshunShayang", + "中材巴西": "ZhongcaiBaxi", + "中材白城": "ZhongcaiBaicheng", + "中材阜宁": "ZhongcaiFuning", + "中材哈密": "ZhongcaiHami", + "中材邯郸": "ZhongcaiHandan", + "中材酒泉": "ZhongcaiJiuquan", + "中材连云港": "ZhongcaiLianyungang", + "中材萍乡": "ZhongcaiPingxiang", + "中材乌兹": "ZhongcaiWuzi", + "中材锡林": "ZhongcaiXilin", + "中材兴安盟": "ZhongcaiXinganmeng", + "中材阳江": "ZhongcaiYangjiang", + "中材伊吾": "ZhongcaiYiwu", + "中复玉溪": "ZhongfuYuxi", + "重通昌吉": "ChongtongChangji", + "重通大安": "ChongtongDaan", + "重通如东": "ChongtongRudong", + "重通武威": "ChongtongWuwei" +} diff --git a/data/2026/ga_best_params.json b/data/2026/ga_best_params.json new file mode 100644 index 0000000..40561bf --- /dev/null +++ b/data/2026/ga_best_params.json @@ -0,0 +1,39 @@ +{ + "best_score": 0.00937312926655472, + "month1": 217.45894697837934, + "month2": 150.20990453556323, + "month3": 59.283123188808865, + "month4": 32.85033348161848, + "factor_AilangYumen": 1.1902465810628384, + "factor_AilangZhangbei": 1.2186409992528338, + "factor_ShidaiBalikun": 1.438401611609558, + "factor_ShidaiBaise": 1.3091824363612607, + "factor_ShidaiEerduosi": 1.3518304391429559, + "factor_ShidaiSheyang": 1.6909627952589037, + "factor_ShidaiSongyuan": 1.4108321278523206, + "factor_ShidaiZhuzhouDongligu": 1.1869749743734574, + "factor_ShidaiZhuzhouGuangming": 1.1800574933965857, + "factor_ShuangruiDafeng": 1.3054792522141536, + "factor_ShuangruiDongying": 1.8763153426661399, + "factor_ShuangruiTongliao": 1.2710031794925254, + "factor_TianshunPuyang": 1.4744497083232695, + "factor_TianshunShayang": 1.4795030853095048, + "factor_ZhongcaiBaxi": 1.7919995376649425, + "factor_ZhongcaiBaicheng": 1.4104170604037218, + "factor_ZhongcaiFuning": 1.432746401466544, + "factor_ZhongcaiHami": 1.3553688394564043, + "factor_ZhongcaiHandan": 1.2499588665347292, + "factor_ZhongcaiJiuquan": 1.3560330802082583, + "factor_ZhongcaiLianyungang": 1.3347480932901394, + "factor_ZhongcaiPingxiang": 1.4077077911213058, + "factor_ZhongcaiWuzi": 2.6475775847381353, + "factor_ZhongcaiXilin": 1.3396311225111674, + "factor_ZhongcaiXinganmeng": 1.5511899304953336, + "factor_ZhongcaiYangjiang": 2.9235438880899385, + "factor_ZhongcaiYiwu": 1.6784922763823449, + "factor_ZhongfuYuxi": 2.7576518657056286, + "factor_ChongtongChangji": 1.0622787174464579, + "factor_ChongtongDaan": 1.2461087655384824, + "factor_ChongtongRudong": 1.5196089537944695, + "factor_ChongtongWuwei": 1.0122927678731564 +} \ No newline at end of file diff --git a/data/2026/ga_two_best_params.json b/data/2026/ga_two_best_params.json new file mode 100644 index 0000000..69f1687 --- /dev/null +++ b/data/2026/ga_two_best_params.json @@ -0,0 +1,5 @@ +{ + "best_score": 0.00937312926655472, + "factor_ZhongcaiWuzi": 2.6475775847381353, + "factor_ShidaiZhuzhouDongligu": 1.1869749743734574 +} \ No newline at end of file diff --git a/data/2026/model_params.json b/data/2026/model_params.json new file mode 100644 index 0000000..746b753 --- /dev/null +++ b/data/2026/model_params.json @@ -0,0 +1,69 @@ +{ + "holiday_days_1": 2, + "holiday_days_2": 12, + "holiday_days_3": 2, + "holiday_days_4": 2, + "holiday_days_5": 2, + "holiday_days_6": 2, + "holiday_days_7": 2, + "holiday_days_8": 2, + "holiday_days_9": 2, + "holiday_days_10": 7, + "holiday_days_11": 2, + "holiday_days_12": 2, + "month1": 217.45894697837934, + "month2": 150.20990453556323, + "month3": 59.283123188808865, + "month4": 32.85033348161848, + "factor_AilangYumen": 1.1902465810628384, + "factor_AilangZhangbei": 1.2186409992528338, + "factor_ShidaiBalikun": 1.438401611609558, + "factor_ShidaiBaise": 1.3091824363612607, + "factor_ShidaiEerduosi": 1.3518304391429559, + "factor_ShidaiSheyang": 1.6909627952589037, + "factor_ShidaiSongyuan": 1.4108321278523206, + "factor_ShidaiZhuzhouDongligu": 1.1869749743734574, + "factor_ShidaiZhuzhouGuangming": 1.1800574933965857, + "factor_ShuangruiDafeng": 1.3054792522141536, + "factor_ShuangruiDongying": 1.8763153426661399, + "factor_ShuangruiTongliao": 1.2710031794925254, + "factor_TianshunPuyang": 1.4744497083232695, + "factor_TianshunShayang": 1.4795030853095048, + "factor_ZhongcaiBaxi": 1.7919995376649425, + "factor_ZhongcaiBaicheng": 1.4104170604037218, + "factor_ZhongcaiFuning": 1.432746401466544, + "factor_ZhongcaiHami": 1.3553688394564043, + "factor_ZhongcaiHandan": 1.2499588665347292, + "factor_ZhongcaiJiuquan": 1.3560330802082583, + "factor_ZhongcaiLianyungang": 1.3347480932901394, + "factor_ZhongcaiPingxiang": 1.4077077911213058, + "factor_ZhongcaiWuzi": 2.6475775847381353, + "factor_ZhongcaiXilin": 1.3396311225111674, + "factor_ZhongcaiXinganmeng": 1.5511899304953336, + "factor_ZhongcaiYangjiang": 2.9235438880899385, + "factor_ZhongcaiYiwu": 1.6784922763823449, + "factor_ZhongfuYuxi": 2.7576518657056286, + "factor_ChongtongChangji": 1.0622787174464579, + "factor_ChongtongDaan": 1.2461087655384824, + "factor_ChongtongRudong": 1.5196089537944695, + "factor_ChongtongWuwei": 1.0122927678731564, + "product_set": [ + "GWBD-A2", + "GWBD-A3", + "SI90.2", + "GW99A", + "GWBD-E", + "GW93", + "GW130", + "GW76", + "GW99", + "GW80.5", + "GW81", + "GW86", + "GWBD-B", + "GWBD-D", + "SI122", + "GW83.3", + "GW83.4" + ] +} diff --git a/data/2026/month_hours.json b/data/2026/month_hours.json new file mode 100644 index 0000000..79a9196 --- /dev/null +++ b/data/2026/month_hours.json @@ -0,0 +1,14 @@ +{ + "1": 31, + "2": 28, + "3": 31, + "4": 30, + "5": 31, + "6": 30, + "7": 31, + "8": 31, + "9": 30, + "10": 31, + "11": 30, + "12": 31 +} diff --git a/data/2026/product.csv b/data/2026/product.csv new file mode 100644 index 0000000..a74ecf9 --- /dev/null +++ b/data/2026/product.csv @@ -0,0 +1,26 @@ +平台,标准机型,叶片型号 +GWH V20,GWH266-16.2,GW130 +4S,155/4500,GW76 +4S,GW165-5.0,GW80.5 +4S,165/5000,GW80.5 +5S,165/5200,GW81 +GWH V15,GWH170-7.2,GW83.3 +GWH V11,171/5300,GW83.4 +GWH V15,175/7800,GW86 +GWH V12,204/6250H,GW99 +GWH V12,204/6250H,GW99A +GWH V12,204/5600H,GW99A +GWH V17,GWH221-7,GWBD-A2 +GWH V17,GWH221-8,GWBD-A2 +GWH V17,GWH221-8.34,GWBD-A2 +GWH V17,GWH221-11.1,GWBD-A2 +GWH V17,GWH221-6,GWBD-A3 +GWH V17,GWH221-6.7,GWBD-A3 +GWH V19,GWH221-6,GWBD-A3 +GWH V17,GWH230-8.34,GWBD-B +GWH V12,GWH204-5.0,GWBD-D +GWH V19,GWH204-10.5,GWBD-E +GWH V20,252/13600,SI122 +GWH V12,182/7200H,SI90.2 +GWH V12,191/4550H,GW93 +GWH V12,191/6700H,GW93 diff --git a/data/2026/transportation_price.csv b/data/2026/transportation_price.csv new file mode 100644 index 0000000..3f656a6 --- /dev/null +++ b/data/2026/transportation_price.csv @@ -0,0 +1,23 @@ +Ʒͺ,[],ƽ[Ԫ/(*Ƭ)],ƽ[Ԫ/Ƭ] +others,0-99,,"12,859.46" +others,100-199,,"14,946.73" +others,200-299,,"18,662.46" +others,300-599,52.83, +others,600-899,38.36, +others,900-1199,32.89, +others,1200-1499,30.69, +others,1500-1999,28.49, +others,2000-2499,27.76, +others,2500-3499,22.87, +others,3500-10000000,21.02, +"GWBD-A2, GWBD-A3, GWBD-B",0-99,,"15,802.31" +"GWBD-A2, GWBD-A3, GWBD-B",100-199,,"18,445.12" +"GWBD-A2, GWBD-A3, GWBD-B",200-299,,"22,391.35" +"GWBD-A2, GWBD-A3, GWBD-B",300-599,62.29, +"GWBD-A2, GWBD-A3, GWBD-B",600-899,44.75, +"GWBD-A2, GWBD-A3, GWBD-B",900-1199,38.23, +"GWBD-A2, GWBD-A3, GWBD-B",1200-1499,36.08, +"GWBD-A2, GWBD-A3, GWBD-B",1500-1999,33.44, +"GWBD-A2, GWBD-A3, GWBD-B",2000-2499,32.76, +"GWBD-A2, GWBD-A3, GWBD-B",2500-3499,26.68, +"GWBD-A2, GWBD-A3, GWBD-B",3500-10000000,24.27, diff --git a/ga_two_factor_calibration.py b/ga_two_factor_calibration.py index 244fbd1..a7f7851 100644 --- a/ga_two_factor_calibration.py +++ b/ga_two_factor_calibration.py @@ -8,6 +8,10 @@ from simulation_model import SimulationModel # Decision variables: two factory factors only TARGET_FACTORIES = ["ZhongcaiBaicheng", "ZhongcaiHami"] +# set year +year = json.load(open('year.json', 'r', encoding='utf-8'))['year'] +filename = f"{year}" + # Bounds FACTOR_BOUNDS = (0.8, 3.0) @@ -48,7 +52,7 @@ def crossover(p1: List[float], p2: List[float]) -> Tuple[List[float], List[float def init_population() -> List[List[float]]: pop = [] - best_path = Path("data") / "ga_two_best_params.json" + best_path = Path("data") / filename / "ga_two_best_params.json" seed_indiv = None if best_path.exists(): try: @@ -94,7 +98,7 @@ def main(): for fid, val in zip(TARGET_FACTORIES, best_genes): result[f"factor_{fid}"] = val - data_path = Path("data") / "ga_two_best_params.json" + data_path = Path("data") / filename / "ga_two_best_params.json" prev_score = float("inf") if data_path.exists(): try: diff --git a/genetic_calibration.py b/genetic_calibration.py index 8b397a7..cf34a97 100644 --- a/genetic_calibration.py +++ b/genetic_calibration.py @@ -5,11 +5,14 @@ from typing import List, Tuple from simulation_model import SimulationModel +# set year +year = json.load(open('year.json', 'r', encoding='utf-8'))['year'] +filename = f"{year}" # Decision variables: # - month1, month2, month3, month4 efficiencies (hour/blade) # - factory-specific new-factory factors (from data/factory_mapping.json) -FACTORY_MAPPING = json.loads(Path("data/factory_mapping.json").read_text(encoding="utf-8")) +FACTORY_MAPPING = json.loads(Path(f"data/{filename}/factory_mapping.json").read_text(encoding="utf-8")) FACTORY_IDS = list(FACTORY_MAPPING.values()) # Bounds for genes: (min, max) @@ -17,7 +20,7 @@ MONTH_BOUNDS = (30.0, 250.0) FACTOR_BOUNDS = (0.8, 3.0) POP_SIZE = 20 -GENERATIONS = 200 +GENERATIONS = 2 MUTATION_RATE = 0.2 MUTATION_STD = 5.0 # hours for months; factors mutate separately @@ -73,7 +76,7 @@ def crossover(p1: List[float], p2: List[float]) -> Tuple[List[float], List[float def init_population() -> List[List[float]]: pop = [] # Warm start from best params if available - best_path = Path("data") / "ga_best_params.json" + best_path = Path("data") / filename / "ga_best_params.json" seed_indiv = None if best_path.exists(): try: @@ -140,8 +143,7 @@ def main(): for fid, val in zip(FACTORY_IDS, best_genes[4:]): result[f"factor_{fid}"] = val - out_path = Path("output") / "ga_best_params.json" - data_path = Path("data") / "ga_best_params.json" + data_path = Path("data") / filename / "ga_best_params.json" data_path.parent.mkdir(exist_ok=True) # Only overwrite if better if data_path.exists(): diff --git a/simulation_model.py b/simulation_model.py index b044f83..2be241e 100644 --- a/simulation_model.py +++ b/simulation_model.py @@ -16,6 +16,9 @@ from demand_agent import DemandAgent matplotlib.rcParams["font.family"] = ["Microsoft YaHei", "SimHei", "sans-serif"] matplotlib.rcParams["axes.unicode_minus"] = False +# set year +year = json.load(open('year.json', 'r', encoding='utf-8'))['year'] +filename = f"{year}" class SimulationModel(Model): """ @@ -184,11 +187,11 @@ class SimulationModel(Model): return self._output_timestamp def _load_month_hours(self): - with open("data/month_hours.json", "r", encoding="utf-8") as f: + with open(f"data/{filename}/month_hours.json", "r", encoding="utf-8") as f: self.month_days = {int(k): v for k, v in json.load(f).items()} def _load_model_params(self): - with open("data/model_params.json", "r", encoding="utf-8") as f: + with open(f"data/{filename}/model_params.json", "r", encoding="utf-8") as f: return json.load(f) def _load_month_holiday_days(self, cfg: dict) -> dict: @@ -207,7 +210,7 @@ class SimulationModel(Model): return str(name).replace("-", "").replace(".", "") def _load_factory_mapping(self) -> dict: - with open("data/factory_mapping.json", "r", encoding="utf-8") as f: + with open(f"data/{filename}/factory_mapping.json", "r", encoding="utf-8") as f: return json.load(f) def _parse_product_set(self, val) -> tuple: @@ -255,7 +258,7 @@ class SimulationModel(Model): last_error = None for enc in encodings: try: - df = pd.read_csv("data/ProductionLine.csv", encoding=enc) + df = pd.read_csv(f"data/{filename}/ProductionLine.csv", encoding=enc) break except UnicodeDecodeError as exc: last_error = exc @@ -300,7 +303,7 @@ class SimulationModel(Model): last_error = None for enc in encodings: try: - df = pd.read_csv("data/demand.csv", encoding=enc) + df = pd.read_csv(f"data/{filename}/demand.csv", encoding=enc) break except UnicodeDecodeError as exc: last_error = exc @@ -348,13 +351,13 @@ class SimulationModel(Model): def _load_transport_data(self): # Distance matrix - dist_df = pd.read_csv("data/distance_matrix.csv", encoding="utf-8") + dist_df = pd.read_csv(f"data/{filename}/distance_matrix.csv", encoding="utf-8") self.distance_lookup = { (row["factory"], row["demand_city"]): float(row["distance_km"]) for _, row in dist_df.iterrows() } # Transportation prices - price_df = pd.read_csv("data/transportation_price.csv", encoding="gbk") + price_df = pd.read_csv(f"data/{filename}/transportation_price.csv", encoding="gbk") price_df.columns = [c.strip() for c in price_df.columns] price_df["产品型号"] = price_df["产品型号"].str.strip() if self.product_set: @@ -506,7 +509,7 @@ class SimulationModel(Model): + ["总计"] ) timestamp = self._get_output_timestamp() - output_dir = "output" + output_dir = f"output/{filename}" os.makedirs(output_dir, exist_ok=True) out_path = os.path.join(output_dir, f"production_report_{timestamp}.csv") pivot.to_csv(out_path, index=False, encoding="utf-8-sig") @@ -515,7 +518,7 @@ class SimulationModel(Model): if not self.monthly_allocation_summary: return timestamp = self._get_output_timestamp() - output_dir = "output" + output_dir = f"output/{filename}" os.makedirs(output_dir, exist_ok=True) out_path = os.path.join(output_dir, f"allocation_summary_{timestamp}.xlsx") with pd.ExcelWriter(out_path, engine="openpyxl") as writer: @@ -551,7 +554,7 @@ class SimulationModel(Model): return timestamp = self._get_output_timestamp() - output_dir = "output" + output_dir = f"output/{filename}" os.makedirs(output_dir, exist_ok=True) def plot_series(columns, label_map, ylabel, title, filename, colors=None): @@ -687,9 +690,9 @@ class SimulationModel(Model): # Benchmark comparison try: - benchmark = pd.read_csv("data/benchmark.csv", encoding="utf-8-sig") + benchmark = pd.read_csv(f"data/{filename}/benchmark.csv", encoding="utf-8-sig") except UnicodeDecodeError: - benchmark = pd.read_csv("data/benchmark.csv", encoding="gbk") + benchmark = pd.read_csv(f"data/{filename}/benchmark.csv", encoding="gbk") benchmark_sorted = benchmark.sort_values(by=benchmark.columns[0]) total_col = "总计" month_cols = [f"{m}月" for m in range(1, 13)] @@ -713,7 +716,7 @@ class SimulationModel(Model): return timestamp = self._get_output_timestamp() - output_dir = "output" + output_dir = f"output/{filename}" os.makedirs(output_dir, exist_ok=True) factory_report_path = os.path.join(output_dir, f"factory_report_{timestamp}.csv") factory_pivot.to_csv(factory_report_path, index=False, encoding="utf-8-sig") diff --git a/year.json b/year.json new file mode 100644 index 0000000..42791c5 --- /dev/null +++ b/year.json @@ -0,0 +1,3 @@ +{ + "year": 2025 +}