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- 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 rest_stscs_v1
- import soc_total
- #...................................电池包电芯安全诊断函数......................................................................................................................
- def rest_statics():
- global SNnums
- global df_rest_static
- 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)
- k = 602
- for sn in SNnums[k:]:
- 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' in sn:
- celltype=4 #CATL 50ah三元电芯
- elif 'UD' in sn:
- celltype=4 #CATL 50ah三元电芯
- elif 'TJMCL' in sn:
- celltype=100 #金茂电芯
- else:
- print('SN:{},未找到对应电池类型!!!'.format(sn))
- continue
- # sys.exit()
- print('计算的第' + str(k) + '个:' + sn)
- k = k + 1
- #读取原始数据库数据........................................................................................................................................................
- start_time = '2021-06-01 00:00:00'
- end_time = '2021-07-01 00:00:00'
- 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_rest_add = pd.DataFrame(columns = ['sn', 'time_st', 'time_end', 'soc_st', 'soc_sp', 'delta_soc', 'tempure', 'meancrnt'])
- #充电统计................................................................................................................................................................
- if not df_bms.empty:
- rest_statics_temp = rest_stscs_v1.cell_statistic(sn,celltype,df_bms)#析锂检测
- df_Diag_rest_add = rest_statics_temp.rest_sta()
- if not df_Diag_rest_add.empty:
- df_rest_static = df_rest_static.append(df_Diag_rest_add)
- df_rest_static = df_rest_static.drop_duplicates(subset = ['sn','time_st'], keep = 'first', inplace = False)
- # df_rest_static.sort_values(by = ['sn'], axis = 0, ascending=True,inplace=True)#对故障信息按照时间进行排序
- df_rest_static.to_csv(r'D:\Develop\User\Liuzhongxiao\data_analyze_platform\USER\LZX\01算法开发\08合众算法开发\01静置统计\静置统计.csv',index=False,encoding='GB18030')
- end=time.time()
- print(end-start)
- #...............................................主函数.......................................................................................................................
- if __name__ == "__main__":
- global SNnums
- global df_rest_static
-
- excelpath=r'D:\Develop\User\Liuzhongxiao\data_analyze_platform\USER\LZX\01算法开发\00项目sn号\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()
- # SNums_file = pd.read_csv(r'D:\Work\Code_write\data_analyze_platform\USER\lzx\01算法开发\02析锂检测\02析锂分析\各项目析锂情况_211130\增加波峰高度与峰谷比计算结果\SNnums_C7255析锂情况析锂排序.csv',encoding='GB18030')
- # SNums_sn = SNums_file['sn']
- # liplated_high = SNums_sn.iloc[7:10]
- # liplated_low = SNums_sn.iloc[-11:-1]
- # cal_sn = liplated_high.append(liplated_low)
- SNnums = SNnums_L7255[50:] + SNnums_C7255[50:] + SNnums_6040[50:] + SNnums_4840[50:] + SNnums_U7255[50:]+ SNnums_6060[50:]
- # SNnums = SNnums_U7255
- # SNnums=['TJMCL120502305010','TJMCL120502305012','TJMCL120502305048','TJMCL120502305044','TJMCL120502305026','TJMCL120502305022','TJMCL120502305032','TJMCL120502305038']
- # SNnums = list(cal_sn)#['MGMCLN750N215N049']#['MGMCLN750N215N049'] #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')
- # SNnums=['TJMCL120502305010','TJMCL120502305012','TJMCL120502305048','TJMCL120502305044','TJMCL120502305026','TJMCL120502305022','TJMCL120502305032','TJMCL120502305038']
- mylog=log.Mylog('log_diag.txt','error')#'TJMCL120502305010','TJMCL120502305012',
- 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_rest_static = pd.read_csv(r'D:\Develop\User\Liuzhongxiao\data_analyze_platform\USER\LZX\01算法开发\08合众算法开发\01静置统计\静置统计.csv',encoding='GB18030')
- print('----------------输入--------')
- print('-------计算中-----------')
- rest_statics()
- #定时任务.......................................................................................................................................................................
- # scheduler = BlockingScheduler()
- # scheduler.add_job(rest_statics, 'interval', seconds=10, id='diag_job')
- # try:
- # scheduler.start()
- # except Exception as e:
- # scheduler.shutdown()
- # print(repr(e))
- # mylog.logopt(e)
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