Research on Power Grid Monitoring Video Analysis System Based on Edge Computing
With the acceleration of modern power grid construction,aiming at the problems of high time delay and low accuracy in power grid monitoring video analysis,this paper proposes a power grid monitoring video analysis system based on edge computing.By deploying deep learning model in edge nodes,efficient anomaly detection and fault diagnosis are realized.The experimental results show that the system can greatly improve the accuracy of fault detection while reducing the delay and bandwidth occupation.This research provides a new solution for smart grid construction,and shows the application potential of edge computing in power grid monitoring.
万方数据
维普
