This paper introduces an advanced monitoring and maintenance system for edge computing devices to address the challenges posed by their decentralization,intricate management needs,and substantial labor costs.The system comprises three primary modules:Edge Device Monitoring,Intelligent Management,and Intelligent Maintenance.It is designed to enhance the management and maintenance efficiency and reliability of edge computing devices through a cohesive approach.The system leverages the programmability of edge devices to continuously monitor their operational status and integrates deep learning technologies to facilitate a-nomaly detection and perform intelligent maintenance.This approach not only reduces labor costs but also sig-nificantly contributes to the dependable operation of edge computing devices.
维普
万方数据