基于用电信息采集大数据的防窃电方法研究

Research on electricity anti-stealing method based on power consumption information acquisition and big data

介绍了常见的几种窃电方法及其特征,研究给出了与窃电相关的特征参量,建立了用电信息采集系统中各种数据、各类异常事件与窃电行为之间的关联关系,设计了基于用电信息采集大数据的防窃电结构化模型,包括数据预处理、用电异常检测模型和窃电嫌疑预测模型三部分。通过现场采集的数据,证明了该结构化防窃电模型的有效性,为解决大数据条件下的窃电行为监控问题提供了有效方法。

Firstly,the common electricity-stealing methods and its characteristics were introduced and the characteristic parameters related to electricity-stealing were researched.Secondly,the relationship among the various data,the abnormal events from electric power information acquisition system and the behavior of electricity-stealing was established,and an electricity anti-stealing structure model based on electric-power information acquisition and big data was designed,including data preprocessing,power use anomaly detection model and electricity-stealing suspected prediction model.Finally,the validity of the structured electricity anti-stealing model was proved by the validation of the experimental data.This paper provides an effective method to solve the problem of electricity-stealing monitoring under big data conditions.