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作 者:王昆 刘轩 王晓峰[1] 郝潇[1] WANG Kun;LIU Xuan;WANG Xiaofeng;HAO Xiao(Shanxi University,Taiyuan,Shanxi 030013,China;Maintenance Branch of State Grid Shanxi Electric Power Company,Taiyuan,Shanxi 030006,China)
机构地区:[1]山西大学,山西太原030013 [2]国网山西省电力公司检修分公司,山西太原030006
出 处:《山西电力》2023年第2期32-35,共4页Shanxi Electric Power
基 金:2021年度山西省基础研究计划(自由探索类)项目(202103021223029)。
摘 要:开发了一套边缘计算架构高压隔离开关远程诊断系统,通过边缘计算服务器采集所在网络内所有高压隔离开关角度、角加速度和电池电量数据,在提出的智能决策机制判断执行下,对有效数据进行筛选和显示,同时将有效数据无线传送至远端服务器,进行数据汇总、分析和判决,绘制所在网络内各高压隔离开关分合闸角度曲线和角加速度曲线,并根据阈值判决结果和曲线规律显示各高压隔离开关的分合闸状态,对分合闸存在故障的高压隔离开关进行定位和报警,实现了高压隔离开关的远程检测和状态诊断。In this paper,a remote diagnosis system of high-voltage disconnector based on edge computing architecture is designed.The angle,angular acceleration and battery power data of all high-voltage disconnectors in this network are collected through the edge computing server.Under the judgment and execution of the proposed intelligent decision-making mechanism,valid data are filtered and displayed.At the same time,valid data are transmitted to the remote server by wireless transmission for data summary,analysis and judgment and the on-off angle curve and angular acceleration curve of each high-voltage disconnector in the network are drawn.And according to the threshold judgment result and curve law,the on-off status of each high-voltage disconnector can be shown and the location and warning of the high-voltage disconnector with on-off faults can be carried out,which helps to realize the remote detection and status diagnosis of the high-voltage disconnector.
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