摘要
主要研究基于云计算技术的变电站设备故障智能维护系统。该系统通过工业物联网设备采集运行数据,经网络安全传输至云分析平台,实现对关键设备健康状态的实时评估与故障预测。研究结果表明,相比传统人工模式,该智能维护系统能够显著提高变电站设备的可靠性,降低事故损失。
This paper mainly studies the intelligent maintenance system of substation equipment fault based on cloud computing technology.The system collects operation data through industrial Internet of Things devices,and transmits them to the cloud analysis platform safely through the network,so as to realize real-time assessment and fault prediction of key devices.The research results show that compared with the traditional manual mode,the intelligent maintenance system can significantly improve the reliability of substation equipment and reduce accident losses.
作者
李磊
靳武
LI Lei;JIN Wu(State Grid Ningxia Electric Power Co.,Ltd.,EHV Company,Yinchuan 750001,China)
出处
《通信电源技术》
2024年第1期243-245,共3页
Telecom Power Technology
关键词
云计算
物联网
故障预测
cloud computing
Internet of Things
failure prediction