摘要
运用大数据的方法,对表计轮换过程中产生的相关数据进行分析,通过换表前后电量变化,再结合同批换表的其他表计信息进行综合分析,通过数据挖掘精确定位表计串户差错,相比传统逐户上门排查方式极大地提高了排查效率。若能接入营销系统,变被动排查为主动提醒,将能大大降低换表过程中发生计量错接线的几率。
Based on the big data method, the paper analyzes relevant data generated in the process of electric meter measuring rotation work, conducts a comprehensive exploration by comparing power consumption variation hefore and after changing electric Ineters in eombination with other electric meter information from the same batch of electric meter replacement, and accurately locates errors of electric meter measuring missort by means of data mining. Compared to the traditional door - to - door troubleshooting mode, it greatly improves the troubleshooting efficiency. If it can access the marketing system, change the passive troubleshooting as the active reminder, will be able to greatly reduce the process of measuring the wrong meter when the wrong way.
出处
《电力大数据》
2017年第9期46-51,共6页
Power Systems and Big Data
关键词
大数据
表计串户
计量差错
big data
electric meter measuring missort
meast, rement Error
