Operating Status Monitoring Method of Communication Base Station Power Circuit Breaker Based on Deep Learning
Conventional intelligent circuit breaker operation status monitoring models for power supply are mostly target-driven,with low monitoring efficiency,resulting in large monitoring latency.Therefore,the article proposes a deep learning-based communication base station power circuit breaker operation status monitoring method,which is capable of real-time monitoring point deployment and monitoring data preprocessing,and extracts the abnormal characteristics of circuit breaker operation.Adopting the form of automation to improve the efficiency of monitoring,the intelligent circuit breaker operation state monitoring model for automated power supply is designed,and the dynamic tracking identification is used to complete the state monitoring.The results show that the designed deep learning-based communication base station power supply circuit breaker operation state monitoring method yields a smaller monitoring delay and more targeted monitoring.
deep learningcommunication base stationpower supply circuit breakeroperation statusreal-time monitoring
NETL
NSTL
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