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- import CBMSBatDiag
- from SC_SamplingSafty import SamplingSafty
- from DataStatistics import DataSta
- from DiagDataMerge import DiagDataMerge
- from SC_CtrlSafty import CtrlSafty
- 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
- import datacompy
- from LIB.MIDDLE.SaftyCenter.Common import QX_BatteryParam
- from LIB.MIDDLE.SaftyCenter.Common import DBDownload as DBDw
- #...................................电池包电芯安全诊断函数......................................................................................................................
- def diag_cal():
- task_on=1
- global SNnums
- global start
- #..................................设置时间..........................................................
- start=time.time()
- end_time=datetime.datetime.now()
- start_time=end_time-datetime.timedelta(seconds=900)#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')
-
- host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port=3306
- db='safety_platform'
- user='qx_algo_readonly'
- password='qx@123456'
- mode=2
- tablename2='all_fault_info'
- DBRead = DBDw.DBDownload(host, port, db, user, password,mode)
- with DBRead as DBRead:
- df_Diag_Ram = DBRead.getdata('start_time','end_time','product_id','code','level','info','advice','Batpos',tablename=tablename2,factory='',sn='',timename='',st='',sp='')
- df_Diag_Ram=df_Diag_Ram.dropna(axis=1,how='any')
- df_Diag_Ram=df_Diag_Ram.reset_index(drop=True)
-
- 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
- elif 'TJMCL'in sn:
- celltype=100 #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']
- df_bms=df_bms.dropna(subset=['总电流[A]'])
- df_bms=df_bms.reset_index(drop=True)
- print(df_bms)
- #读取结果数据库数据........................................................................................................................................................
- host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port=3306
- db='qx_cas'
- user='qx_algo_readonly'
- password='qx@123456'
- 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)
- #读取电池当前运营状态.....................................................................................................................................................
- host='rm-bp10j10qy42bzy0q7.mysql.rds.aliyuncs.com'
- port=3306
- db='qixiang_manage'
- user='qx_query'
- password='@Qx_query'
- mode=4
- tablename1='py_battery'
- DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
- with DBRead as DBRead:
- df_OprtnSta=DBRead.getdata('qrcode','status', tablename=tablename1, sn=sn, timename='', st='', sp='',factory='')#取最后一条运营状态
- #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 = df_Diag_Ram.loc[df_Diag_Ram['product_id']!=sn]#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)#采样安全
- df_Diag_Batdiag_update_xq2=CtrlSafty.main(sn,param,df_bms,df_Diag_Batdiag_update_xq)#控制安全
- batDiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms, df_soh, df_uniform, df_Diag_Batdiag_update_xq2)#鹏飞计算
- df_Diag_Batdiag_update=batDiag.diag()
- # df_Diag_Batdiag_update=BatDiag.diag()
- else:
- df_Diag_Batdiag_update_xq=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos'])
- df_Diag_Batdiag_update_xq2=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos'])
- df_Diag_Batdiag_update=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos'])
- df_Diag_Ram_add,df_Diag_Ram_Update=DiagDataMerge.DetaMerge(df_Diag_Ram_sn,df_Diag_Batdiag_update,df_OprtnSta,df_Diag_Ram_sn_else)
- task_on=0
- #.................................统计程序...............................
- def DaTa_Sta_Week_Task():
- task_on=1
- factory_info=['骑享','金茂换电']
- all_period_fault_info=DataFrame(columns=['factory','week','level1_count','level2_count','level3_count','level4_count','level5_count','solve_rate'])
- toweek='Week'+time.strftime('%W')
- host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port=3306
- db='safety_platform'
- user='qx_algo_readonly'
- password='qx@123456'
- mode=2
- tablename1='all_fault_info'
- DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
- with DBRead as DBRead:
- df_fltinfo=DBRead.getdata('product_id','level','code','start_time','end_time','batpos','factory',tablename=tablename1,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
- #............................获取数据................................
- for j in range(0,len(factory_info)):
- df_fltinfo=df_fltinfo[df_fltinfo['factory']==factory_info[j]]
- #............................获取时间................................
- end_time=datetime.datetime.now()
- # end_time=datetime.datetime.strptime(end_time,'%Y-%m-%d')
- start_time_week=end_time-datetime.timedelta(days=7)
- start_time_week=start_time_week.strftime('%Y-%m-%d')
- end_time=end_time.strftime('%Y-%m-%d')
- FltAlarmInfo,Celltype=DataSta.SaftyWarningSta(df_fltinfo,start_time_week,end_time,factory_info[j])
- FaultLvlCount=DataSta.WeekInfoSta(df_fltinfo,start_time_week,end_time)
- for i in range(1,6):
- if not FaultLvlCount[FaultLvlCount['level']==i]['product_id'].empty:
- all_period_fault_info.loc[j,'level'+str(i)+'_count']=int(FaultLvlCount[FaultLvlCount['level']==i]['product_id'].values)
- else:
- all_period_fault_info.loc[j,'level'+str(i)+'_count']=int(0)
- all_period_fault_info.loc[j,'factory']=factory_info[j]
- all_period_fault_info.loc[j,'week']=toweek
- all_period_fault_info.loc[j,'solve_rate']=FltAlarmInfo.loc[0,'OprationManageRate']
- all_period_fault_info.fillna(0,inplace=False)
- task_on=0
- def DaTa_Sta_Minutes_Task():
- task_on=1
- factory_info=['骑享','金茂换电']
- #............................获取数据................................
- host='172.16.121.236'
- port=3306
- db='fastfun'
- user='readonly'
- password='Fast1234'
- mode=3
- tablename1='ff_battery_accum'
- tablename2='ff_location'
- DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
- with DBRead as DBRead:
- df_last_accum=DBRead.getdata('devcode','dsg_phaccum','dsg_ahaccum',tablename=tablename1,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
- df_last_pos=DBRead.getdata('devcode','latitude','longitude',tablename=tablename2,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
-
-
- host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port=3306
- db='qx_cas'
- user='qx_algo_readonly'
- password='qx@123456'
- mode=3
- tablename2='bat_first_data_time'
- DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
- with DBRead as DBRead:
- df_FirstDataTime=DBRead.getdata('sn','first_data_time',tablename=tablename2,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
-
-
- #............................获取时间................................
- end_time=datetime.datetime.now()
- # end_time=datetime.datetime.strptime(end_time,'%Y-%m-%d')
- start_time=end_time-datetime.timedelta(days=1)
- start_time=start_time.strftime('%Y-%m-%d')
- end_time=end_time.strftime('%Y-%m-%d')
- #............................执行程序................................
- all_statistic_info=DataFrame(columns=['factory','total_alarm','alarm_total_today','alarm_not_close_today','alarm_close_today','alarm_uregent_total_today','alarm_uregent_close_today','alarm_uregent_not_close_today','alarm_close_total','run_time_total','dischrg_total','odo_total','max_dischrg_one','max_runtime_one','max_cycle_one','max_odo_one','alarm_total','cell_type','cell_type_count','cell_safety_risk_count','data_safety_risk_count','status_safety_risk_count','hv_safety_risk_count','system_safety_risk_count','sample_safety_risk_count','controller_safety_risk_count','design_safety_risk_count'])
- for j in range(0,len(factory_info)):
- host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port=3306
- db='safety_platform'
- user='qx_algo_readonly'
- password='qx@123456'
- mode=2
- tablename1='all_fault_info'
- DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
- with DBRead as DBRead:
- df_fltinfo=DBRead.getdata('product_id','level','code','start_time','batpos',tablename=tablename1,factory=factory_info[j],sn='',timename='',st='',sp='')#dbdownload经过了改编
- FltAlarmInfo,Celltype=DataSta.SaftyWarningSta(df_fltinfo,start_time,end_time,factory_info[j])
- SatftyCount=DataSta.SftyWrngClsfy(df_fltinfo)
- MaxAccumAh,TotalAccumAh,MaxCycle,MaxRunningHour,TotalRunHour=DataSta.AccumInfo(df_last_accum,df_FirstDataTime,end_time,factory_info[j])
- all_location_info=DataSta.FltBatPosition(df_last_pos,df_fltinfo,factory_info[j])
-
- all_statistic_info.loc[j,'factory']=factory_info[j]
- all_statistic_info.loc[j,'total_alarm']=FltAlarmInfo.loc[0,'SftyPlt_Data_Total']
- all_statistic_info.loc[j,'alarm_total_today']=FltAlarmInfo.loc[0,'SftyPlt_Data_day']
- all_statistic_info.loc[j,'alarm_close_today']=FltAlarmInfo.loc[0,'CS_Warning_day_Finish_Count']
- all_statistic_info.loc[j,'alarm_not_close_today']=FltAlarmInfo.loc[0,'SftyPlt_Data_day']-FltAlarmInfo.loc[0,'CS_Warning_day_Finish_Count']
- all_statistic_info.loc[j,'alarm_uregent_total_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day']
- all_statistic_info.loc[j,'alarm_uregent_close_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day_Finish_Count']
- all_statistic_info.loc[j,'alarm_uregent_not_close_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day']-FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day_Finish_Count']
- all_statistic_info.loc[j,'run_time_total']=TotalRunHour
- all_statistic_info.loc[j,'dischrg_total']=TotalAccumAh
- all_statistic_info.loc[j,'odo_total']=0
- all_statistic_info.loc[j,'max_dischrg_one']=MaxAccumAh
- all_statistic_info.loc[j,'max_runtime_one']=MaxRunningHour
- all_statistic_info.loc[j,'max_cycle_one']=MaxCycle
- all_statistic_info.loc[j,'max_odo_one']=0
- all_statistic_info.loc[j,'alarm_close_total']=FltAlarmInfo.loc[0,'CS_Warning_Total_Finish_Count']
- all_statistic_info.loc[j,'alarm_total']=FltAlarmInfo.loc[0,'SftyPlt_Data_Total']
- CellType=Celltype.columns.tolist()
- CellType=','.join(CellType)
- all_statistic_info.loc[0,'cell_type']=str(CellType)
- CellTypeCount=Celltype.loc[0].tolist()
- CellTypeCount=[str(x) for x in CellTypeCount]
- CellTypeCount=','.join(CellTypeCount)
- all_statistic_info.loc[j,'cell_type_count']=str(CellTypeCount)
- all_statistic_info.loc[j,'cell_safety_risk_count']=SatftyCount.loc[0,'CellSaftyCount']
- all_statistic_info.loc[j,'data_safety_risk_count']=SatftyCount.loc[0,'DataSaftyCodeCount']
- all_statistic_info.loc[j,'status_safety_risk_count']=SatftyCount.loc[0,'StateSaftyCodeCount']
- all_statistic_info.loc[j,'hv_safety_risk_count']=SatftyCount.loc[0,'HvSaftyCodeCount']
- all_statistic_info.loc[j,'system_safety_risk_count']=SatftyCount.loc[0,'SysSaftyCodeCount']
- all_statistic_info.loc[j,'sample_safety_risk_count']=SatftyCount.loc[0,'SamplingSatyCount']
- all_statistic_info.loc[j,'controller_safety_risk_count']=SatftyCount.loc[0,'CtrlSaftyCodeCount']
- all_statistic_info.loc[j,'design_safety_risk_count']=SatftyCount.loc[0,'DsnSaftyCodeCount']
- end=time.time()
- #print(end-start)
- task_on=0
- print(all_statistic_info)
- all_statistic_info.to_excel('all_statistic_info.xlsx')
- #...............................................主函数.......................................................................................................................
- if __name__ == "__main__":
- global SNnums
- global task_on
-
- task_on=0
- excelpath=r'D:\ZLWORK\code\data_analyze_platform\USER\eric\SaftyCenter_CODE_V1\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=['TJMCL120502305038','TJMCL120502305032','TJMCL120502305022','TJMCL120502305026','TJMCL120502305032','TJMCL120502305044','TJMCL120502305048','TJMCL120502305012','TJMCL120502305010']
- #SNnums = ['MGMLXN750N218N004'] #SNnums_6040
-
- mylog=log.Mylog('log.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................
- host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port=3306
- db='safety_platform'
- user='qx_algo_readonly'
- password='qx@123456'
- mode=2
- tablename2='all_fault_info'
- DBRead = DBDw.DBDownload(host, port, db, user, password,mode)
- with DBRead as DBRead:
- df_Diag_Ram = DBRead.getdata('start_time','end_time','product_id','code','level','info','advice','Batpos','factory',tablename=tablename2,factory='',sn='',timename='',st='',sp='')
- # result=pd.read_csv(r'D:\Work\Code_write\data_analyze_platform\USER\01Screen_Problem\result.csv',encoding='gbk')
- #定时任务.......................................................................................................................................................................
- scheduler = BlockingScheduler()
- diag_cal()
- DaTa_Sta_Minutes_Task()
- DaTa_Sta_Week_Task()
- if task_on==0:
- scheduler.add_job(DaTa_Sta_Week_Task, 'interval', days=7, id='Week_Task')
- scheduler.add_job(diag_cal, 'interval', seconds=900, id='diag_job')
- scheduler.add_job(DaTa_Sta_Minutes_Task, 'interval', seconds=180, id='Hour_Task')
- try:
- scheduler.start()
- except Exception as e:
- scheduler.shutdown()
- print(repr(e))
- mylog.logopt(e)
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