Research on Fault Diagnosis System of Power Plant Electrical Equipment Based on Big Data Communication
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.
electrical equipment fault diagnosisbig data communicationdistributed computing
万方数据
维普
