With the increasing complexity of power systems,traditional operation and maintenance and fault diag-nosis methods are unable to meet the requirements for efficient and safe operation of 500 kV substations.The opera-tion and maintenance monitoring and fault diagnosis system based on Big Data technology utilizes multi-type sen-sors and high-speed Ethernet to facilitate real-time data acquisition,transmission,and storage of equipment infor-mation.By employing machine learning models for fault diagnosis,real-time monitoring and accurate warning of the operating status of power equipment have been achieved.Application results indicate that the improved method significantly enhances fault detection accuracy and response speed,providing critical support for the safe and stable operation of the power grid.
关键词
500kV变电站/大数据技术/运维监测/故障诊断/预警系统
Key words
500 kV substation/Big Data technology/Operation and maintenance monitoring/Fault diagnosis/Warn-ing system
维普
万方数据