基于信号系统延寿需求的设备健康度综合评估方法与实践

Comprehensive Evaluation Method and Practice of Equipment Health Grade on Signaling System Service Life Prolonging Requirements

[目的]常规的设备健康度评估方法存在片面性和局限性,需要研究一种适用安全苛求的信号系统的设备健康度评估方法,旨在控制全生命周期成本,延长系统使用寿命,并解决目前大部分城市地铁建设资金紧张的痛点问题。[方法]从几种常规设备健康度评估方法入手,构建了一种综合评估模型(从年均返修率数据角度评估设备历史状态表现,设备设计理论寿命与实际在线服役时间评估使用年限,现场调研实际工况和实验室抽样检测结果评估设备当前状态等多维度);综合以上多维度信息,制定了针对信号系统安全设备的综合评估方法。[结果及结论]通过将该评估方法进行实践应用,经过数据统计和分析,形成实际评估结论和对应的维护建议,验证了该设备健康度综合评估方法的可行性,同时实现了基于延寿需求对信号系统的深度体检,并有针对性地制定了预防性维护措施;提出了后续在数字化、智能化技术方面的改进计划。

[Objective]Evaluation methods for conventional equipment health grade tend to be one-sided and limited in scope.There is a need to develop an evaluation method tailored to the stringent safety demands of signaling systems.The goal is to control the full lifecycle costs,extend the system longevity,and address the general pain point of financial constraints faced by most urban metro constructions at present.[Method]Starting with several conventional equipment health grade evaluation methods,a comprehensive evaluation model is constructed.The equipment historical performance is evaluated by annual average repair rate data,the equipment service life is evaluated by comparing the equipment designed theoretical lifespan with actual online service time,and current equipment conditions by field survey of actual working conditions and laboratory sampling test results.By integrating these multi-dimensional data points,a comprehensive evaluation method for signaling system safety equipment is developed.[Result&Conclusion]The practical application of this evaluation method,supported by data statistics and analysis,produces concrete evaluation conclusions and corresponding maintenance recommendations.This validates the feasibility of the comprehensive equipment health grade evaluation method.At the same time,the application of this method enables an in-depth inspection of signaling systems based on service life prolonging requirements,facilitates the formulation of targeted preventive maintenance measures,and proposes plans for future improvements in digitalization and intelligent technology.