Design of the Online Monitoring System for Substation Equipment Based on the Internet of Things Technology
The design system adopts multi-layer architecture,including sensing layer,network layer and application layer,and integrates wireless sensor network,industrial Ethernet and optical fiber communication technology to realize efficient data transmission and processing.The data preprocessing adopts Apache Spark distributed computing architecture to realize data cleaning,filtering,standardization and integration.Data depth analysis relies on big data analysis,machine learning and artificial intelligence technology,and uses MapReduce and stream processing technology to realize pattern recognition and feature extraction of monitoring data.The system introduces intelligent early warning mechanism,including data anomaly detection,fault prediction model,early warning threshold setting and alarm strategy,and sends alarm signals to operation and maintenance personnel in various ways.The experimental results show that the designed on-line monitoring system for substation equipment is superior to the traditional monitoring methods in accuracy,sensitivity and speed,and can ensure the safe operation of substation more effectively.By improving the intelligent level of the system,the high requirements of modern power system for substation equipment management can be met,and the operation efficiency and reliability of the substation can be significantly improved.
Internet of Thingssubstation equipmentonline monitoring
万方数据
维普
