摘要
基于物联网技术,设计了一套电力设备自动化监测管理系统,旨在提高电力设备的智能化运维水平。系统采用智能传感器、深度学习算法和知识图谱技术,实现了设备的实时状态监测、故障诊断及远程控制。通过在220kV变电站的现场实验,验证了系统在数据采集准确率、故障诊断准确性和运维决策方面的优越性能,结果显示,系统具备良好的可靠性和实时性。
Based on Internet of Things technology,this paper designs an automated monitoring and management system for power equipment,aiming to improve the intelligent operation and maintenance level of power equipment.The system adopts intelligent sensors,deep learning algorithms,and knowledge graph technology to achieve real-time status monitoring,fault diagnosis,and remote control of equipment.Through on-site experiments at a 220 kV substation,the superior performance of the system in terms of data acquisition accuracy,fault diagnosis accuracy,and operation and maintenance decision-making has been verified.The results show that the system has good reliability and real-time performance.
作者
何思远
HE Siyuan(China Southern Power Grid Lancang-Mekong International Co.,Ltd.,Kunming,Yunnan 650051,China)
出处
《自动化应用》
2025年第5期181-183,共3页
Automation Application
关键词
物联网技术
电力设备
自动化监测
智能运维
Internet of Things technology
power equipment
automated monitoring
intelligent operation and maintenance
