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城轨车辆多场景结合的智能列检系统研究

Research on Intelligent Train Inspection System of Urban Rail Train under Multi-Scene Combination
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摘要 随着城市轨道交通的快速发展,城轨列车检修作业逐渐引入自动检测设备以缓解人工检修压力和提高检修效率,但这些检测设备往往互不相通、信息孤岛,检测结果相互孤立,有大量重复和误报,检修人员确认报警点会消耗大量精力。提出了一种将轨旁检测设备和库内检测机器人进行联合应用的新型智能检测技术方案:列车在入库时经过轨旁检测设备的不停车检测后,停靠在库内时由机器人在检测的同时对轨旁设备的报警结果做验证。试点应用表明,新型智能检测系统的综合检测准确率比原单独检测方式均有较大提升,作业时间大幅降低,且工人的故障复核时间大大减少。该技术具备覆盖范围广、检测内容更精细、效率更优的优点,可实现城轨车辆检修作业全流程闭环管理,达到提质降本增效的目的。 With the rapid development of urban rail transit,automatic inspection equipment is gradually introduced into urban rail train maintenance operations to relieve manual maintenance pressure and improve maintenance efficiency.However,the inspection equipment is often disconnected.Information islands exist,and inspection results are isolated from each other,with a large number of duplications and false alarms.Maintenance staff will consume a lot of time to confirm the alarm point.A new intelligent inspection technology solution was proposed that combined the trackside inspection equipment and the depot inspection robot.After the train was inspected by the trackside inspection equipment without stopping when entering the depot,the robot would detect the train when it was parked in the depot.At the same time,the alarm results of trackside equipment were verified.The pilot application shows that the comprehensive inspection accuracy of the new intelligent inspection system is greatly improved compared with the original individual inspection method.The operation time and the fault review time of workers are greatly reduced.This technology has the advantages of wide coverage,more detailed inspection content,and better efficiency.It can realize closed-loop management of the entire urban rail train maintenance process,improve quality,reduce costs,and increase efficiency.
作者 郭燕辉 GUO Yanhui(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China)
出处 《铁道运输与经济》 北大核心 2023年第12期195-202,共8页 Railway Transport and Economy
关键词 智能列检 轨旁检测 库内检测机器人 多场景检测 智能检测系统 Intelligent Train Inspection Trackside Inspection Depot Inspection Robot Multi-Scene Inspection Intelligent Inspection System
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