import CBMSBatDiag from SC_SamplingSafty import SamplingSafty import datetime import pandas as pd from LIB.BACKEND import DBManager, Log from sqlalchemy import create_engine import time, datetime from apscheduler.schedulers.blocking import BlockingScheduler from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import DBDownload as DBDownload from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import log from pandas.core.frame import DataFrame from LIB.MIDDLE.SaftyCenter.Common import QX_BatteryParam from LIB.MIDDLE.SaftyCenter.Common import DBDownload as DBDw from DiagDataMerge import DiagDataMerge import pymysql #...................................电池包电芯安全诊断函数...................................................................................................................... def diag_cal(): task_on=1 global SNnums #..................................设置时间.......................................................... start=time.time() end_time=datetime.datetime.now() start_time=end_time-datetime.timedelta(seconds=600)#10分钟跑一次，一次取10分钟数据 start_time=start_time.strftime('%Y-%m-%d %H:%M:%S') end_time=end_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,Batpos' tablename='all_fault_info' sql = "select %s from %s where end_time='0000-00-00 00:00:00'" %(param,tablename) cursor.execute(sql) res = cursor.fetchall() df_Diag_Ram= pd.DataFrame(res,columns=param.split(',')) cursor.close() mysql.close() for sn in SNnums:#SN遍历 print(sn) 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() param=QX_BatteryParam.BatteryInfo(celltype) #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'] #读取结果数据库数据........................................................................................................................................................ db='qx_cas' mode=1 tablename1='cellstateestimation_soh' tablename2='cellstateestimation_uniform_socvoltdiff' DBRead=DBDownload.DBDownload(host, port, db, user, password,mode) with DBRead as DBRead: df_soh=DBRead.getdata('time_st,sn,soh,cellsoh', tablename=tablename1, sn=sn, timename='time_sp', st=start_time, sp=end_time) df_uniform=DBRead.getdata('time,sn,cellsoc_diff,cellmin_num,cellmax_num', tablename=tablename2, sn=sn, timename='time', st=start_time, sp=end_time) #电池诊断..................................................................................................................................................................... CellFltInfo=DataFrame(columns=['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice']) df_Diag_Ram_sn = df_Diag_Ram.loc[df_Diag_Ram['product_id']==sn]#历史故障 # df_Diag_Ram_sn_else = pd.concat([df_Diag_Ram,df_Diag_Ram_sn,df_Diag_Ram_sn]).drop_duplicates(subset=['product_id'],keep=False)#sn之外的故障 df_Diag_Ram_sn_else=df_Diag_Ram.drop(df_Diag_Ram[df_Diag_Ram.product_id==sn].index)#sn之外的故障 CellFltInfo = df_Diag_Ram_sn.drop('Batpos',axis=1) #获取当前故障电池的历史故障信息↑↑↑↑↑↑↑↑↑↑↑....................................................................................................................................... if not df_bms.empty: # df_Diag_Batdiag_update_xq=SamplingSafty.main(sn,param,df_bms,CellFltInfo)#学琦计算故障 batDiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms, df_soh, df_uniform, CellFltInfo)#鹏飞计算 df_Diag_Batdiag_update=batDiag.diag() # df_Diag_Batdiag_update=BatDiag.diag() if not df_Diag_Batdiag_update.empty: 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_Diag_Batdiag_update)+'\n') else: pass #...............................................主函数....................................................................................................................... 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=SNnums_L7255 + SNnums_C7255 + SNnums_6040 + SNnums_4840 + SNnums_U7255+ SNnums_6060 # SNnums=['MGMCLN750N215I005','PK504B10100004341','PK504B00100004172','MGMLXN750N2189014'] SNnums = ['MGMLXN750N218N004'] #SNnums_6040 mylog=log.Mylog('log_diag.txt','error') mylog.logcfg() diag_cal() #定时任务....................................................................................................................................................................... scheduler = BlockingScheduler() scheduler.add_job(diag_cal, 'interval', seconds=5, id='diag_job') try: scheduler.start() except Exception as e: scheduler.shutdown() print(repr(e)) mylog.logopt(e)