import datetime import pandas as pd from LIB.BACKEND import DBManager, Log import time, datetime from apscheduler.schedulers.blocking import BlockingScheduler import log from pandas.core.frame import DataFrame import Li_plated import vol_sor_est from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import BatParam #...................................电池包电芯安全诊断函数...................................................................................................................... def cell_platd_sorvol_test(): global SNnums global df_Diag_lipltd global df_diag_sor global df_diag_vol global df_diag_volsor start=time.time() now_time=datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') now_time=datetime.datetime.strptime(now_time,'%Y-%m-%d %H:%M:%S') start_time=now_time-datetime.timedelta(days=3) end_time=str(now_time) start_time=str(start_time) for sn in SNnums: if 'PK500' in sn: celltype=1 #6040三元电芯 elif 'PK502' in sn: celltype=2 #4840三元电芯 elif 'K504B' in sn: celltype=99 #60ah林磷酸铁锂电芯 elif 'MGMLXN750' in sn: celltype=3 #力信50ah三元电芯 elif 'MGMCLN750' or 'UD' in sn: celltype=4 #CATL 50ah三元电芯 else: print('SN：{}，未找到对应电池类型！！！'.format(sn)) continue # sys.exit() #读取原始数据库数据........................................................................................................................................................ start_time = '2021-11-23 12:00:00' end_time = '2021-11-24 12:00:00' dbManager = DBManager.DBManager() df_data = dbManager.get_data(sn=sn, start_time=start_time, end_time=end_time, data_groups=['bms']) df_bms = df_data['bms'] df_Diag_lipltd_add = pd.DataFrame(columns = ['sn','time','liplated', 'liplated_amount']) #析锂诊断................................................................................................................................................................ if not df_bms.empty: Diag_lipltd_temp = Li_plated.Liplated_test(sn,celltype,df_bms)#析锂检测 df_Diag_lipltd_add = Diag_lipltd_temp.liplated_detect() # Diag_sorvol_temp = vol_sor_est.vol_sor_est(sn,celltype,df_bms)#电压内阻估计 # [df_diag_sor_add, df_diag_vol_add, df_diag_sorvol_add] = Diag_sorvol_temp.volsor_cal() if not df_Diag_lipltd_add.empty: df_Diag_lipltd_temp = df_Diag_lipltd.append(df_Diag_lipltd_add) df_Diag_lipltd = df_Diag_lipltd_temp.drop_duplicates(subset = ['sn','time'], keep = 'first', inplace = False) df_Diag_lipltd.reset_index(drop = True) df_Diag_lipltd.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序 df_Diag_lipltd.to_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\02析锂检测\01下载数据\格林美-力信7255\SNnums_6040_liplated_sn.csv',index=False,encoding='GB18030') # if not df_diag_sor_add.empty: # df_diag_sor_temp = df_diag_sor.append(df_diag_sor_add) # df_diag_sor = df_diag_sor_temp.drop_duplicates(subset = ['sn','time'], keep = 'first', inplace = False) # df_diag_sor.reset_index(drop = True) # df_diag_sor.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序 # df_diag_sor.to_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\05内阻及电压估计\02算法检测\判断结果\内阻偏离.csv',index=False,encoding='GB18030') # if not df_diag_vol_add.empty: # df_diag_vol_temp = df_diag_vol.append(df_diag_vol_add) # df_diag_vol = df_diag_vol_temp.drop_duplicates(subset = ['sn','time'], keep = 'first', inplace = False) # df_diag_vol.reset_index(drop = True) # df_diag_vol.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序 # df_diag_vol.to_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\05内阻及电压估计\02算法检测\判断结果\电压偏离.csv',index=False,encoding='GB18030') # if not df_diag_sorvol_add.empty: # df_diag_volsor_temp = df_diag_volsor.append(df_diag_sorvol_add) # df_diag_volsor = df_diag_volsor_temp.drop_duplicates(subset = ['sn','time'], keep = 'first', inplace = False) # df_diag_volsor.reset_index(drop = True) # df_diag_volsor.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序 # df_diag_volsor.to_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\05内阻及电压估计\02算法检测\判断结果\电压内阻偏离.csv',index=False,encoding='GB18030') end=time.time() print(end-start) #...............................................主函数....................................................................................................................... if __name__ == "__main__": global SNnums global df_Diag_lipltd global df_diag_sor global df_diag_vol global df_diag_volsor excelpath=r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\04故障诊断\01Screen_Problem\sn-20210903.xlsx' SNdata_6060 = pd.read_excel(excelpath, sheet_name='科易6060') SNdata_6040 = pd.read_excel(excelpath, sheet_name='科易6040') SNdata_4840 = pd.read_excel(excelpath, sheet_name='科易4840') SNdata_L7255 = pd.read_excel(excelpath, sheet_name='格林美-力信7255') SNdata_C7255 = pd.read_excel(excelpath, sheet_name='格林美-CATL7255') SNdata_U7255 = pd.read_excel(excelpath, sheet_name='优旦7255') SNnums_6060=SNdata_6060['SN号'].tolist() SNnums_6040=SNdata_6040['SN号'].tolist() SNnums_4840=SNdata_4840['SN号'].tolist() SNnums_L7255=SNdata_L7255['SN号'].tolist() SNnums_C7255=SNdata_C7255['SN号'].tolist() SNnums_U7255=SNdata_U7255['SN号'].tolist() #SNnums=SNnums_L7255 + SNnums_C7255 + SNnums_6040 + SNnums_4840 + SNnums_U7255+ SNnums_6060 SNnums=['MGMCLN750N215N296','MGMCLN750N215N080', 'MGMCLN750N215I108', 'MGMCLN750N215N217'] # SNnums = SNnums_6040 #SNnums_C7255 #SNnums_6040['MGMCLN750N215N049'] # SNnums = pd.read_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\02析锂检测\liplated\疑似析锂电池sn.csv',encoding='GB18030') mylog=log.Mylog('log_diag.txt','error') mylog.logcfg() #............................模块运行前，先读取数据库中所有结束时间为0的数据，需要从数据库中读取................ df_Diag_lipltd=pd.read_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\02析锂检测\01下载数据\格林美-力信7255\析锂.csv',encoding='GB18030') # df_diag_sor = pd.read_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\05内阻及电压估计\02算法检测\判断结果\内阻偏离.csv',encoding='GB18030') # df_diag_vol = pd.read_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\05内阻及电压估计\02算法检测\判断结果\电压偏离.csv',encoding='GB18030') # df_diag_volsor = pd.read_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\05内阻及电压估计\02算法检测\判断结果\电压内阻偏离.csv',encoding='GB18030') print('-------计算中-----------') #定时任务....................................................................................................................................................................... scheduler = BlockingScheduler() scheduler.add_job(cell_platd_sorvol_test, 'interval', seconds=10, id='diag_job') try: scheduler.start() except Exception as e: scheduler.shutdown() print(repr(e)) mylog.logopt(e)