摘要
为解决变电站电气设备故障监测存在的故障漏报率高、监测响应迟缓等问题,提出基于物联网技术的变电站电气设备故障远程监测方法。利用数据标记和关联分析技术整合电气设备运行数据,搭建包含感知层、网络层和应用层的物联网故障监测通信网络,利用智能算法对传输至远程监测中心的数据进行处理,得到综合监测结果。实验结果表明,所提方法在不同负载条件下漏报率不超过3%,监测时延始终低于1 ms,监测效果较好。
To solve the problems of high fault omission rate and slow monitoring response in substation electrical equipment fault monitoring,a remote monitoring method for substation electrical equipment faults based on Internet of Things technology is proposed.By utilizing data labeling and correlation analysis techniques to integrate operational data of electrical equipment,an Internet of Things fault monitoring communication network was built,which includes a perception layer,a network layer,and an application layer.Intelligent algorithms were used to process the data transmitted to the remote monitoring center to obtain comprehensive monitoring results.The experimental results show that the method proposed in this paper has a false alarm rate of no more than 3%under different load conditions,and the monitoring delay is always below 1 ms,indicating good monitoring performance.
作者
罗文盛
雷昌成
LUO Wensheng;LEI Changcheng(Ultra High Voltage Company,State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750000,China)
出处
《智能物联技术》
2025年第4期165-168,共4页
Technology of Io T& AI
关键词
物联网
变电站
电气设备
故障远程监测
智能算法
Internet of Things
substation
electrical equipment
remote fault monitoring
intelligent algorithm
