非侵入式电力大数据服务公共社会安全研究  

Research on Public Social Security of Non Intrusive Power Big Data Service

作　　者：薛菁 谭泽富[1] 蔡黎[1] 李帅 雷国平[1] 张望 王海 XUE Jing;TAN Zefu;CAI Li;LI Shuai;LEI Guoping;ZHANG Wang;WANG Hai(Chongqing Three Gorges University,Chongqing,404100 China;Wanzhou District Public Security Bureau of Chongqing,Chongqing,404000 China)

机构地区：[1]重庆三峡学院,重庆404100 [2]重庆市万州区公安局,重庆404000

出　　处：《科技资讯》2023年第1期5-8,共4页Science & Technology Information

基　　金：重庆市万州区非侵入式电力大数据分析服务公共治安示范、应用和推广项目(项目编号:wzstc20210302)。

摘　　要：公安部门一直致力于服务公共社会安全,但安全隐患的发生逐渐呈现出隐蔽化的特点,这对公安部门的工作提出新的挑战。为消除安全隐患,保障人民群众的生命财产安全,该文设计出一种非侵入式电力大数据采集系统,该系统不侵入用户内部施工,且结合大数据容量大、类型多、存取速度快、应用价值高的特点,对所监测区域的电能进行整合,可以快速发现区域内用电异常情况,最大限度地协助用户消除安全隐患。The public security department has always been committed to serving the public social security.However,the occurrence of hidden security risks gradually presents the characteristics of concealment,which poses new challenges to the work of public security departments.In order to eliminate potential safety hazards and ensure the safety of people’s lives and property,this paper designs a non intrusive power big data acquisition system.This system does not invade users’internal construction,and combines the characteristics of large capacity,multiple types,fast access speed and high application value of big data to integrate the power in the monitored area,which can quickly find the abnormal situation of power consumption in the area and help users eliminate potential safety hazards to the maximum extent.

关 键 词：大数据 非侵入负荷辨识 特征提取 网络拓扑 智能电表 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] TM76[自动化与计算机技术—计算机科学与技术]