摘要
目前窃电客户数量大、窃电方式隐蔽等现象较为普遍,反窃电工作难度大,现有查窃手段难以满足需求。基于大数据分析,本文通过客户基础数据提取、异常数据综合诊断分析、窃电模型输出,窃电工单闭环处理,通过科学准确的阀值设定,客户窃电特征分析,实现精准研判与智能在线监测。
As curently the number of stealing electricity is large,the hidden way is more common,means is difficult to meet the requirements.Based on big data analysis,this article explains accurate research of intelligent online monitoring through customer basic data extraction,comprehensive diagnosis and analysis of abnormal data,model output,closed-loop management of work orders,scientific and accurate threshold determination and feature analysis.
作者
乔立春
QIAO Lichun(Yinchuan Power Supply Company of State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan Ningxia 750011,China)
出处
《宁夏电力》
2020年第2期25-27,63,共4页
Ningxia Electric Power
关键词
大数据分析
窃电
智能
在线监测
big data analysis
stealing electricity
intelligent
on-line monitoring
