城市轨道交通通号专业的数字化维修体系

Digital Maintenance System for Urban Rail Transit Signaling Discipline

[目的]传统的通号专业维修工作以计划修和故障修为主要的维保模式,在集成化和智能化方面存在不足,缺乏科学合理的维修体系支撑,维修业务耗时多且效率低。对此,有必要探索城市轨道交通通信及信号专业的数字化维修体系。[方法]由传统维修模式现状提出,数字化维修体系架构由数字化维修系统平台和维修模式的适配共同组成。着重阐述了数字化维修系统平台的六层架构及功能模块。结合上海地铁维护保障有限公司通号分公司的实际案例,从维修组织机构适配优化、维修规程适配优化、数字化维修模式转型及不同维修场景的应用效果等方面,论述了数字化维修模式的适配调整。[结果及结论]数字化维修系统平台是数字化维修体系的技术支撑和基础,其智能化的功能模块能有效减少维修人员工作量。结合数字化维修模式的适配调整,可优化维修资源配置。实际应用效果表明,数字化维修能实现对维修信息的全面采集、高效处理与智能分析,能有效提高维修效率和维修质量。

[Objective]Traditional maintenance work in signaling discipline mainly relies on planned and fault repair as the major maintenance mode,its shortcomings are manifested in the lack of integration,intelligence,and a scientifically grounded maintenance system,resulting in time-consuming and inefficient repair business.Thus,there is a need to explore a digital maintenance system for urban rail transit communication and signaling discipline.[Method]Based on the status of traditional maintenance mode,a digital maintenance system framework consisting of a digital maintenance platform and the adaptation of the maintenance mode is proposed.The six-layer architecture and functional modules of the digital maintenance platform are elaborated with emphasis.By referencing a practical case from the Telecom and Signal Branch of Shanghai Metro Maintenance Support Co.,Ltd.,the adaptation and optimization of digital maintenance mode are discussed,from aspects such as the adaptation optimization of maintenance organization structure and procedures,the transition to digital maintenance mode,and the outcomes of application in various maintenance scenarios.[Result&Conclusion]The digital maintenance platform serves as the technical foundation and support for this system.Its intelligent functional modules could significantly reduce the workload for maintenance personnel.When combined with the adapted digital maintenance mode,it could optimize the allocation of maintenance resources.Practical application results demonstrate that the digital maintenance system enables comprehensive data collection,efficient processing,and intelligent analysis of maintenance information,thereby effectively improving both maintenance efficiency and quality.