基于人工智能的边缘计算设备智能监控和维护系统  

Intelligent Monitoring and Maintenance System for Edge Computing Devices Based on Artificial Intelligence

作　　者：周密 陈烨 焦良葆[1] 田源 童心语 吴禹同 Zhou Mi;Chen Ye;Jiao Liangbao;Tian Yuan;Tong Xinyu;Wu Yutong(Nanjing Institute of Technology,Nanjing 211167,China)

机构地区：[1]南京工程学院,南京211167

出　　处：《信息化研究》2024年第4期66-72,共7页INFORMATIZATION RESEARCH

基　　金：国家自然科学基金(No.62302211);江苏省大学生创新创业训练计划(No.202311276037Z)。

摘　　要：本文针对边缘计算存在分散性、管理和维护困难以及人工成本高昂等问题,提出了一种边缘计算设备智能监控和维护系统。该系统由边缘设备监控模块、智能管理模块和智能维护模块组成,旨在通过集成方式提升边缘计算设备管理与维护的效率和可靠性。所提系统利用边缘计算设备的可编程性,实时监控设备运行状况,并结合深度学习技术,实现对设备的异常检测和智能维护,从而降低人力成本,为边缘计算设备可靠运行提供重要价值。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 anomaly detection and perform intelligent maintenance.This approach not only reduces labor costs but also significantly contributes to the dependable operation of edge computing devices.

关 键 词：边缘计算 设备管理 深度学习 异常检测 智能维护 

分 类 号：TN929.5[电子电信—通信与信息系统] TP391.44[电子电信—信息与通信工程]