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基于边缘计算的电力设备故障检测与维护系统研究

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为解决电力设备故障检测与维护问题,文章基于边缘计算技术构建电力设备故障检测与维护系统,包括系统架构、边缘节点模块、实时故障检测模块、故障诊断分析模块以及维护任务调度模块,实现了电力设备运行状态的诊断和维护.实验结果表明,文章设计的系统在多个关键性能指标上均优于传统集中式系统,能够实现电力设备的智能化管理,提升电力系统的可靠性和运行效率.
Research on Fault Detection and Maintenance System of Power Equipment Based on Edge Computing
In order to solve the problem of fault detection and maintenance of power equipment,this paper constructs a fault detection and maintenance system of power equipment based on edge computing technology,including system architecture,edge node module,real-time fault detection module,fault diagnosis analysis module and maintenance task scheduling module,which realizes the diagnosis and maintenance of power equipment running state.The experimental results show that the system designed in this paper is superior to the traditional centralized system in many key performance indexes,which can realize the intelligent management of power equipment and improve the reliability and operation efficiency of power system.

edge computingpower equipmentfault detection and maintenance

刘文瑞

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国网河北省电力有限公司沧县供电分公司,河北 沧州 061000

边缘计算 电力设备 故障检测与维护

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(23)