import pandas as pd import pymysql from LIB.BACKEND import DBManager, Log from apscheduler.schedulers.blocking import BlockingScheduler import datetime from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import DBDownload # from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import log from LIB.MIDDLE.CellStateEstimation.BatSafetyWarning.V1_0_1 import CBMSBatInterShort from LIB.MIDDLE.CellStateEstimation.BatSafetyWarning.V1_0_1 import CBMSBatUniform from LIB.MIDDLE.CellStateEstimation.BatSafetyWarning.V1_0_1 import VoltStray from LIB.MIDDLE.CellStateEstimation.BatSafetyWarning.V1_0_1 import CBMSSafetyWarning #电池热安全预警核心算法函数...................................................................................................................... def saftywarning_cal(): global SNnums global df_warning_ram global df_warning_ram1 global df_warning_ram2 global df_warning_ram3 global df_lfp_ram global df_lfp_ram1 global df_chrgvolt_ram pd.set_option('display.width', 300) # 设置字符显示宽度 pd.set_option('display.max_rows', None) # 设置显示最大行 pd.set_option('display.max_columns', None) # 设置显示最大列，None为显示所有列 # start=time.time() now_time=datetime.datetime.now() start_time=now_time-datetime.timedelta(hours=6) start_time1=now_time-datetime.timedelta(days=7) start_time2=now_time-datetime.timedelta(days=3) start_time3=now_time-datetime.timedelta(days=1) start_time=start_time.strftime('%Y-%m-%d %H:%M:%S') start_time1=start_time1.strftime('%Y-%m-%d %H:%M:%S') start_time2=start_time2.strftime('%Y-%m-%d %H:%M:%S') start_time3=start_time3.strftime('%Y-%m-%d %H:%M:%S') end_time=now_time.strftime('%Y-%m-%d %H:%M:%S') #数据库配置 host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com' port=3306 user='qx_read' password='Qx@123456' #读取故障结果库中code==110且end_time='0000-00-00 00:00:00'............................... db='safety_platform' mysql = pymysql.connect (host=host, user=user, password=password, port=port, database=db) cursor = mysql.cursor() param='start_time,end_time,product_id,code,level,info,advice' tablename='all_fault_info' sql = "select %s from %s where code=110 and end_time='0000-00-00 00:00:00'" %(param,tablename) cursor.execute(sql) res = cursor.fetchall() df_fault_ram= pd.DataFrame(res,columns=param.split(',')) cursor.close() mysql.close() 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........................................................................................................................................................ 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'] # print(df_bms) # df_bms.to_csv(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\98Download\\'+sn+'_BMS_'+tim+'.csv',encoding='GB18030') #读取结果数据库数据........................................................................................................................................................ db='qx_cas' mode=1 DBRead=DBDownload.DBDownload(host, port, db, user, password,mode) with DBRead as DBRead: df_soh=DBRead.getdata('time_st,sn,soh,cellsoh', tablename='cellstateestimation_soh', sn=sn, timename='time_sp', st=start_time, sp=end_time) df_uniform=DBRead.getdata('time,sn,cellsoc_diff,cellvolt_diff,cellmin_num,cellmax_num,cellvolt_rank', tablename='cellstateestimation_uniform_socvoltdiff', sn=sn, timename='time', st=start_time1, sp=end_time) df_uniform.loc[0,'cellvolt_rank']=str([1]*20) df_voltsigma=pd.DataFrame() if not df_bms.empty: #ram处理............................................................................................................... df_warning_ram_sn=df_warning_ram[df_warning_ram['sn']==sn] df_warning_ram_sn1=df_warning_ram1[df_warning_ram1['sn']==sn] df_warning_ram_sn2=df_warning_ram2[df_warning_ram2['sn']==sn] df_warning_ram_sn3=df_warning_ram3[df_warning_ram3['sn']==sn] df_chrgvolt_ram_sn=df_chrgvolt_ram[df_chrgvolt_ram['sn']==sn] df_warning_ram_sn.reset_index(inplace=True,drop=True) #重置索引 df_warning_ram_sn1.reset_index(inplace=True,drop=True) #重置索引 df_warning_ram_sn2.reset_index(inplace=True,drop=True) #重置索引 df_warning_ram_sn3.reset_index(inplace=True,drop=True) #重置索引 df_chrgvolt_ram_sn.reset_index(inplace=True,drop=True) if celltype>50 and (not df_lfp_ram.empty): df_lfp_ram_sn=df_lfp_ram[df_lfp_ram['sn']==sn] df_lfp_ram_sn.reset_index(inplace=True,drop=True) #重置索引 else: df_lfp_ram_sn=pd.DataFrame() df_lfp_ram=pd.DataFrame(columns=df_bms.columns.tolist()+['sn']) if celltype>50 and (not df_lfp_ram1.empty): df_lfp_ram_sn1=df_lfp_ram1[df_lfp_ram1['sn']==sn] df_lfp_ram_sn1.reset_index(inplace=True,drop=True) #重置索引 else: df_lfp_ram_sn1=pd.DataFrame() df_lfp_ram1=pd.DataFrame(columns=df_bms.columns.tolist()+['sn']) #内短路计算.................................................................................................................................................. BatShort=CBMSBatInterShort.BatInterShort(sn,celltype,df_bms,df_soh,df_warning_ram_sn,df_warning_ram_sn1,df_warning_ram_sn2,df_warning_ram_sn3,df_lfp_ram_sn,df_chrgvolt_ram_sn) df_short_res, df_ram_res, df_ram_res1, df_ram_res2, df_ram_res3, df_ram_res4, df_chrgvolt_ram_sn=BatShort.intershort() if not df_short_res.empty: pass # with open(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\07BatSafetyWarning\内短路.txt','a') as file: # file.write(str(df_short_res)+'\n') #静置电压排名.................................................................................................................................................. BatUniform=CBMSBatUniform.BatUniform(sn,celltype,df_bms,df_uniform,df_ram_res3,df_lfp_ram_sn1) df_rank_res, df_ram_res3, df_ram_res5=BatUniform.batuniform() if not df_rank_res.empty: df_uniform=df_rank_res # with open(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\07BatSafetyWarning\电压排名.txt','a') as file: # file.write(str(df_rank_res)+'\n') #电压离群..................................................................................................................................................... df_voltsigma=VoltStray.main(sn,df_bms,celltype) if not df_voltsigma.empty: pass # with open(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\07BatSafetyWarning\电压离群.txt','a') as file: # file.write(str(df_voltsigma)+'\n') #ram处理................................................................................................................ df_warning_ram=df_warning_ram.drop(df_warning_ram[df_warning_ram.sn==sn].index) df_warning_ram1=df_warning_ram1.drop(df_warning_ram1[df_warning_ram1.sn==sn].index) df_warning_ram2=df_warning_ram2.drop(df_warning_ram2[df_warning_ram2.sn==sn].index) df_warning_ram3=df_warning_ram3.drop(df_warning_ram3[df_warning_ram3.sn==sn].index) df_chrgvolt_ram=df_chrgvolt_ram.drop(df_chrgvolt_ram[df_chrgvolt_ram.sn==sn].index) df_warning_ram=pd.concat([df_warning_ram,df_ram_res],ignore_index=True) df_warning_ram1=pd.concat([df_warning_ram1,df_ram_res1],ignore_index=True) df_warning_ram2=pd.concat([df_warning_ram2,df_ram_res2],ignore_index=True) df_warning_ram3=pd.concat([df_warning_ram3,df_ram_res3],ignore_index=True) df_chrgvolt_ram=pd.concat([df_chrgvolt_ram,df_chrgvolt_ram_sn],ignore_index=True) if celltype>50: df_lfp_ram=df_lfp_ram.drop(df_lfp_ram[df_lfp_ram.sn==sn].index) df_lfp_ram=pd.concat([df_lfp_ram,df_ram_res4],ignore_index=True) df_lfp_ram1=df_lfp_ram1.drop(df_lfp_ram1[df_lfp_ram1.sn==sn].index) df_lfp_ram1=pd.concat([df_lfp_ram1,df_ram_res5],ignore_index=True) #电池热安全预警.............................................................................................................................................................. #读取内短路、析锂和一致性结果数据库数据 db='qx_cas' mode=2 tablename1='cellstateestimation_intershort' tablename3='cellstateestimation_uniform_socvoltdiff' tablename4='outlier_voltchangeratio' #电压离群表单 DBRead=DBDownload.DBDownload(host, port, db, user, password,mode) with DBRead as DBRead: df_short=DBRead.getdata('time_sp,sn,method,short_current', tablename=tablename1, sn=sn, timename='time_sp', st=start_time1, sp=end_time) df_uniform=DBRead.getdata('time,sn,cellsoc_diff,cellvolt_diff,cellmin_num,cellmax_num,cellvolt_rank', tablename=tablename3, sn=sn, timename='time', st=start_time2, sp=end_time) df_voltsigma=DBRead.getdata('time,sn,VolOl_Uni,VolChng_Uni', tablename=tablename4, sn=sn, timename='time', st=start_time3, sp=end_time) #获取sn的故障RAM df_fault_ram_sn=df_fault_ram[df_fault_ram['product_id']==sn] #热安全预警 if df_fault_ram_sn.empty: BatWarning=CBMSSafetyWarning.SafetyWarning(sn,celltype,df_short,df_uniform,df_voltsigma,df_soh) df_warning_res=BatWarning.diag() #当前热失控故障写入数据库 if not df_warning_res.empty: with open(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\07BatSafetyWarning\热失控预警.txt','a',encoding="utf-8") as file: file.write(str(tuple(df_warning_res.iloc[-1]))+'\n') else: fault_time=datetime.datetime.strptime(df_fault_ram_sn.iloc[-1]['start_time'], '%Y-%m-%d %H:%M:%S') if (now_time-fault_time).total_seconds()>3*24*3600: #df_warning_end历史故障筛选并更改数据库故障结束时间 df_fault_ram_sn['end_time']=end_time df_fault_ram_sn['Batpos']=1 with open(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\07BatSafetyWarning\热失控预警.txt','a',encoding="utf-8") as file: file.write(str(tuple(df_warning_res.iloc[-1]))+'\n') #...............................................主函数起定时作用....................................................................................................................... if __name__ == "__main__": # excelpath=r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\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_U7255 + SNnums_6040 + SNnums_4840 + SNnums_6060 SNnums=['PK50001A100000577'] # mylog=log.Mylog('log_warning.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_warning_ram=pd.DataFrame(columns=['sn','time','deltsoc','cellsoc']) df_warning_ram1=pd.DataFrame(columns=['sn','time1','deltsoc1']) df_warning_ram2=pd.DataFrame(columns=['sn','time2','deltAs2']) df_warning_ram3=pd.DataFrame(columns=['sn','time3','standingtime','standingtime1','standingtime2']) df_lfp_ram=pd.DataFrame() df_lfp_ram1=pd.DataFrame() df_chrgvolt_ram=pd.DataFrame(columns=['sn','time','deltvolt','packcrnt_avg','temp_avg']) #定时任务....................................................................................................................................................................... scheduler = BlockingScheduler() scheduler.add_job(saftywarning_cal, 'interval', seconds=6) try: scheduler.start() except Exception as e: scheduler.shutdown() print(repr(e)) # mylog.logopt(e)