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作 者:钱存元 蔡庆丰 Qian Cunyuan;Cai Qingfeng(Institute of Rail Transit,Tongji University,Shanghai 201804,China)
机构地区:[1]同济大学铁道与城市轨道交通研究院,上海201804
出 处:《电子测量技术》2021年第10期96-102,共7页Electronic Measurement Technology
基 金:“十二五”国家科技支撑计划(2015BAG19B02)项目资助。
摘 要:机车车顶设备状态异常和车顶异物是影响机车正常运行的因素之一,研究和运用机车车顶状态及异物检测技术对于铁路行车安全具有重要的意义。首先论述了目前运用于机车车顶设备状态检测的机械接触式、基于线性图像的非接触式以及综合性的动态监测3种检测技术,对这些技术所适合的应用场景及其优缺点进行了阐述及对比;然后在介绍传统人工进行异物检测的基础上,重点论述了基于图像处理的机车车顶异物检测技术,归纳总结了车顶成像、图像预处理、异物检测各环节中采用的技术手段和方法,分析比较了各环节的主要技术特点,并指出了今后机车车顶异物检测技术的发展趋势和需要进一步研究的主要内容。Abnormal locomotive roof equipment status and foreign matter are one of the factors that affect the normal operation of locomotives. Research and application of locomotive roof status and foreign matter detection technology is of great significance to the safety of railway. This paper first discusses the three detection technologies in the status detection of locomotive roof equipment, which are mechanical contact type, non-contact type based on linear images, and comprehensive dynamic monitoring type. The application scenarios suitable for these technologies and the advantages and disadvantages are explained and compared. On the basis of traditional manual foreign matter detection, this paper focuses on the roof foreign matter detection technology based on image processing, summarizes the technical methods used in the locomotive roof imaging, image preprocessing, and foreign matter detection, and points out the development trend of the locomotive roof foreign matter detection technology and the main content to be studied.
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