城市轨道车辆轨旁智能运维技术研究

针对当前城市轨道交通车辆运维中存在的维修周期长、成本高、质量低、存在过度修和欠修等问题,开展轨旁智能运维技术的研究与应用。轨旁智能运维基于AI(人工智能)、大数据、物联网、云计算等新兴技术,为实现城市轨道交通车辆智能运维提供了技术上的可行性。深入讨论了轨旁智能运维技术面临的核心挑战,基于AI中台创造性地提出了以数据为驱动、以用户体验为宗旨,打造全寿命周期、全价值链的数据业务链路的新型轨旁智能运维技术。该技术以车辆轨旁运维设备全寿命周期检修综合成本为目标,通过建立轨旁运维模型,实现车辆轨旁运维的状态修和计划预防修,有效降低了车辆运维成本,实现了车辆服务模式的创新。

Research of Trackside Intelligent Operation and Maintenance Technology for Urban Rail Transit Vehicle

Aiming at the problems of long maintenance cycle,high cost,low quality,over-repair and under-repair in current urban rail vehicle operation and maintenance process,the research and application of trackside intelligent operation and maintenance(hereinafter referred to as TIOM)technology is carried out.Based on emerging technologies such as AI,big data,Internet of Things,cloud computing and so on,TIOM provides technical feasibility for the realization of urban rail vehicle intelligent operation and maintenance.In this article,the core challenges faced by TIOM technology is discussed in depth,then,based on AI intelligent middle station,a data driven,user experience oriented new type TIOM technology with data link for the full life cycle and full value chain is creatively proposed.Aiming at the comprehensive cost of the whole life cycle maintenance of trackside vehicle equipment,this technology establishes a maintenance decision-making model to realize the trackside operation and maintenance of vehicle state repair and planned preventive repair.The result is that the application of TIOM technology effectively reduces the cost of vehicle operation and maintenance,and realizes the innovation of vehicle service mode.