轨道交通信号电源的智能健康管理系统
顾臻浩
Intelligent Health Management System for Rail Transit Signaling System Power Supply
GU Zhenhao
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作者信息:上海地铁维护保障有限公司通号分公司,200235,上海
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Affiliation:Telecom & Signal Branch, Shanghai Metro Maintenance Support Co., Ltd., 200235, Shanghai, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.11.010
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中图分类号/CLCN:U284.77+2
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栏目/Col:研究报告
摘要:
[目的]轨道交通信号电源系统采用双母线双不间断电源的架构,虽提高了系统冗余度,却无法实际降低元件的故障率。为了提高轨道交通信号系统的安全性和可靠性,有必要研究一套轨道交通信号电源的智能健康管理系统。实现对信号系统电源及设备的实时监控、故障诊断与预测性维护。[方法]详细阐述了轨道交通信号电源智能健康管理系统的设计需求、架构、模块组成及模块功能。该系统以信号电源系统或设备的运行状态实时监测为基础,根据信号电源的结构与工作原理,构建精确的仿真模型和寿命预测模型,通过数据采集、健康状态分析、故障诊断和故障预测等功能,实现对信号电源全寿命周期的健康管理。[结果及结论]轨道交通信号电源智能健康管理系统基于大数据处理与挖掘,采用AHP(层次分析)法及仿真模型,能够实现对信号电源全寿命周期的智能化健康管理,有助于提高信号电源的可靠性与安全性,降低维护成本。
Abstracts:
[Objective] The dual-bus and dual-interruptible power supply (UPS) architecture in rail transit signaling system power supply enhances the system redundancy but does not effectively reduce component failure rates. To improve the safety and reliability of the rail transit signaling system, it is necessary to develop an intelligent health management system for signal power supply, enabling real-time monitoring, fault diagnosis, and predictive maintenance of signaling system power supply and equipment. [Method] The design requirements, architecture, module composition, and functions of the intelligent health management system for rail transit signaling system power supply are elaborated in detail. The system is based on real-time monitoring of the operational status for the signaling system power supply or equipment. By understanding the structure and operating principles of the signaling system power supply, the precise simulation and life prediction models are constructed. Functions such as data acquisition, health status analysis, fault diagnosis, and fault prediction are used to implement health management for the signaling system power supply throughout its lifecycle. [Result & Conclusion] The intelligent health management system for rail transit signaling system power supply utilizes big data processing and mining, applies the AHP (analytic hierarchy process) method and simulation models, aiming to achieve intelligent lifecycle health management of the signaling system power supply, improving reliability and safety while reducing maintenance costs.
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