光热成像技术在城市轨道交通车辆智能运维中的应用研究
张建华
Research on Application of Photothermal Imaging Technology in Urban Rail Transit Vehicle Intelligent Operation and Maintenance
ZHANG Jianhua
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作者信息:中铁第一勘察设计院集团有限公司,710043,西安
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Affiliation:China Railway First Survey and Design Institute Group Co., Ltd., 710043, Xi’an, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2025.01.042
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中图分类号/CLCN:U442.55
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栏目/Col:研究报告
摘要:
［目的］目前，城市轨道交通列车在日常运行中缺少对轴箱、齿轮箱、牵引电机等关键部件运行状态的监测手段，无法实现关键部件的故障预警和跟踪，难以满足列车精准维修的要求，为适应车辆智能运维技术发展需要，需研究解决列车关键部件运行状态监测及故障预警问题。［方法］结合铁路车辆综合监测技术应用现状，提出在线路轨旁设置基于光热成像技术和声学诊断的综合监测设备，采集列车运行中关键部件的温度和噪声等信息，通过建立故障判定模型，实现对列车关键部件的动态监测和故障诊断。［结果及结论］光热成像技术具有探测部位多、探测覆盖范围大、车型适应性强、探测准确、探测结果直观等特点，与声学诊断等技术相结合，可实现列车关键部件运行状态实时监测和故障诊断，为列车实施精准维修提供技术支撑。
Abstracts:
［Objective］ At present, the lack of monitoring means for the operation status of key components such as axle boxes, gearboxes, and traction motors in the daily operation of urban rail transit trains, makes it impossible to realize the fault early warning and tracking of the key components, and meet the requirements of precise maintenance of the trains. To adapt to the demands of intelligent operation and maintenance technology development, it is necessary to study and solve problems of the operation status monitoring and the fault early warning of key components. ［Method］ In view of the current application status of comprehensive monitoring technology for railway vehicles, it is proposed to set up a track side comprehensive monitoring equipment of the line based on photothermal imaging technology and acoustic diagnosis to collect the temperature and noise information of the key components du-ring train operation. Dynamic monitoring and fault diagnosis of the train key components is realized by establishing a fault judgment model. ［Result & Conclusion］ Photothermal imaging technology characterizes its detection as multi-points, large coverage, strong vehicle model adaptability, accuracy, and visual results. When combined with acoustic diagnosis and other technologies, it can realize real-time monitoring and fault diagnosis for the train key component operation status, providing technical support for precise maintenance of trains.
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