This paper proposes a fault diagnosis system based on big data technology to meet the needs of fault diagnosis of electrical equipment in power plants.The system includes four modules:real-time data transmission,mass data storage,distributed computing and intelligent decision support.By adopting optical fiber ring network,distributed storage architecture,Apache Spark computing framework and graph database,the efficient collection,storage and analysis of equipment operation data are realized.The experimental results show that the system has good performance in data compression ratio,transmission delay and diagnosis accuracy,which provides strong support for intelligent operation and maintenance of power plant equipment.
关键词
电气设备故障诊断/大数据通信/分布式计算
Key words
electrical equipment fault diagnosis/big data communication/distributed computing
维普
万方数据