机器视觉在轨道交通系统状态检测中的应用综述
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(北京交通大学 轨道交通控制与安全国家重点实验室,北京 100044)

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通讯作者:

E-mail: xkwei@bjtu.edu.cn.

中图分类号:

TP273

基金项目:

国家重点研发计划项目(2016YFB12000402,2017YFB1201202).


A survey of the application of machine vision in rail transit system inspection
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Affiliation:

(State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China)

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    摘要:

    城市轨道交通系统主要由弓/网系统、轨道线路、车辆、车站等组成,传统的人工巡检等方法检测效率低、劳动强度大、自动化和智能化程度不高,给城市轨道交通的运营保障和进一步健康发展带来了巨大的挑战.机器视觉作为一种重要的检测手段,在城市轨道交通系统状态检测领域得到了广泛的应用.鉴于此,针对机器视觉在城市轨道交通系统安全状态检测中的研究和应用进行综述.首先,简要介绍城市轨道交通的基本概念和快速发展所面临的挑战与机遇.然后,详细介绍机器视觉技术在城市轨道交通各子系统安全状态检测中的研究与应用情况;针对弓/网系统状态检测问题,分别重点介绍机器视觉在受电弓磨耗检测、受电弓包络线等其他病害检测、接触网几何参数检测、接触网磨耗检测以及接触网悬挂病害检测中的国内外研究现状;在轨道线路安全状态检测方面,分别介绍机器视觉在扣件安全状态检测和钢轨表面病害检测中的应用与研究现状;从不同检测项点角度详细介绍机器视觉在车辆状态检测中的应用与研究进展;梳理和总结机器视觉在车站电扶梯安全监控和站台安全监控的异常行为检测中的具体应用和研究;并重点介绍机器视觉在轨道交通司机行为监测中的具体应用和背景技术.最后,对机器视觉技术应用于城市轨道交通系统状态检测领域的未来进行展望.

    Abstract:

    Urban rail transit is mainly composed of pantograph-catenary systems, track lines, vehicles, stations, etc. traditional methods such as manual inspections have poor detection efficiency, high labor intensity, and low automation and intelligence, which have brought huge challenges to the operation assurance and further healthy development of urban rail transit. At present, due to the in-depth development of vision technology, as an important detection method, machine vision has been widely used in the field of urban rail transit system state detection. In view of this, the researches and applications of machine vision in the safety state inspection of urban rail transit systems are reviewed. Firstly, the basic concept of urban rail transit and the challenges and opportunities faced by rapid development are briefly introduced. Then, the researches and applications of the machine vision technology in the safety state detection of urban rail transit subsystems are discussed in detail: 1) aiming at the problem of pantograph-catenary system state detection, the domestic and foreign research status of machine vision in pantograph wear detection, pantograph envelope line and other defects detection, catenary geometric parameter detection, catenary wear detection and catenary suspension defect detection are introduced, respectively. 2) As for track line safety state inspection, the application and research status of machine vision in fastener safety state detection and rail surface disease detection are introduced. 3) The application and research progress of machine vision in vehicle state detection are introduced in detail from the perspective of different detection items. 4) The specific application and research of machine vision in abnormal behavior detection of station escalator safety monitoring and platform safety monitoring are sorted out and summarized. 5) The specific application and background technology of machine vision in rail transit driver behavior monitoring are presented. Finally, we look forward to the future of the application of machine vision technology in the field of urban rail transit system state inspection.

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魏秀琨,所达,魏德华,等.机器视觉在轨道交通系统状态检测中的应用综述[J].控制与决策,2021,36(2):257-282

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  • 在线发布日期: 2021-01-21
  • 出版日期: 2021-02-20
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