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基于人工智能的边缘计算设备智能监控和维护系统

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

edge computingdevice managementdeep learninganomaly detectionintelligent mainte-nance

周密、陈烨、焦良葆、田源、童心语、吴禹同

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南京工程学院,南京,211167

边缘计算 设备管理 深度学习 异常检测 智能维护

国家自然科学基金江苏省大学生创新创业训练计划

62302211202311276037Z

2024

信息化研究
江苏省电子学会

信息化研究

影响因子:0.218
ISSN:1674-4888
年,卷(期):2024.50(4)
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