摘要
针对学生宿舍用电安全问题,文章提出一种基于智能电表的宿舍用电器监控系统。系统分为智能电表和后台监控平台两个部分。通过智能电表完成用电器特征数据的采集与处理,通过4G模块将采集到的数据上传至后台监控平台进行分析处理。构建BP神经网络用电器识别系统,实现在线数据采集与监控,降低学生宿舍因用电设备短路、过载等问题而导致电气事故发生的概率,提高高校后勤对学生宿舍用电安全的管理效率。
Aiming at the problem of electricity safety in students'dormitory,this paper proposes a dormitory electrical appliance monitoring system based on intelligent electricity meter.The system is divided into two parts:intelligent electricity meter and background monitoring platform.Complete the collection and processing of electrical appliance characteristic data through the intelligent electricity meter,and upload the collected data to the background monitoring platform for analysis and processing through the 4G module.The BP neural network electrical appliance identification system is constructed to realize online data acquisition and monitoring,reduce the probability of electrical accidents caused by short circuit and overload of electric equipments in student dormitories,and improve the management efficiency of University logistics for electricity safety in student dormitories.
作者
刘扬
张朝霞
卢允杰
LIU Yang;ZHANG Chaoxia;LU Yunjie(School of Mechatronic Engineering and Automation,Foshan University,Foshan 528225,China;Guangdong Haodi Innovation Technology Co.,Ltd.,Foshan 528000,China)
出处
《现代信息科技》
2021年第20期1-5,10,共6页
Modern Information Technology
关键词
数据处理
BP神经网络
智能电表
在线监测
data processing
BP neural network
intelligent electricity meter
online monitoring
