Research on Real-Time Health Monitoring Methods for Power Communication Equipment under Edge-Cloud Collaboration
With the rapid development of power system,the health monitoring of communication equipment becomes particularly important.This paper focuses on the real-time monitoring method of power communication equipment health status under the cooperation of edge-cloud,aiming at improving the accuracy and real-time monitoring.Through the construction of edge-cloud collaborative architecture,the real-time state monitoring and fault prediction of power communication equipment are realized by using the rapid response of edge computing and the powerful processing ability of cloud computing.Not only the key performance indexes of power communication equipment are analyzed,but also a set of monitoring algorithm based on machine learning is designed,and the effectiveness of the proposed method is verified by simulation experiments.
NETL
NSTL
万方数据
