Research on On-Line Monitoring Technology of Circuit Breakers Based on Multi-Sensor Information Data Fusion Technology

This paper mainly analyzes and monitors four monitoring variables, such as circuit breaker opening and closing coil current, moving contact stroke, partial discharge and contact temperature, and uses multiple sensors to collect the state information of vacuum circuit breaker, and builds a distributed intelligent monitoring terminal to collect and obtain the information of each sensor, and refine and analyze the original data, so as to provide enough and standard original data for the big data background. Finally, the health status of circuit breakers is statistically analyzed by using the improved DS evidence theory big data fusion algorithm with BIRCH algorithm. Five 12kV vacuum circuit breakers are evaluated, and the effectiveness of the proposed fusion algorithm is successfully verified.