电气技术  2019, Vol. 20 Issue (ZK1): 48-52    DOI:
技术与应用 |
城市轨道交通隧道异物侵入检测与控制方法
肖添文, 徐永能, 徐欣怡
南京理工大学,南京 210094
Methods for detecting and controlling foreign body invasion in urban rail transit tunnels
Xiao Tianwen, Xu Yongneng, Xu xinyi
Nanjing University of Science and Technology, Nanjing 210094
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摘要 受人为因素或自然灾害的影响,异物侵入城市轨道交通隧道的现象时有发生,若司机应急反应不灵敏,则将发生严重事故。因此,实时监测运营环境,实现对异物侵入的识别与列车控制就显得十分重要。为智能化异物侵入检测体系,提高运行可靠性,本文基于图像采集和测距模块,采用改进背景帧差法,对城市轨道交通隧道异物入侵进行识别与判断,探讨了列车主动安全行为。同时利用南京地铁提供的视频资料进行了Matlab仿真,并进行了实验室验证,证实了此方法的可行性。此异物检测装置硬件成本低,检测精度高,可为城市轨道交通主动安全行为提供依据。
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关键词 轨道交通隧道异物侵入视频检测信息传递主动安全    
Abstract:Due to human factors or natural disasters, the phenomenon of foreign matter invading urban rail transit tunnels sometimes occurs. If the driver's emergency response is not sensitive, serious accidents will occur. Therefore, it is important to monitor the operating environment in real time to realize the identification of foreign objects and train control. In order to intelligently invade the detection system and improve the operational reliability, this paper is based on the image acquisition module and the ranging module, uses the improved background frame difference method to apply the image detection method when the foreign object invades, and discusses the active safety behavior of the train. At the same time, the Matlab simulation is carried out by using the video data provided by Nanjing Metro, and the laboratory verification is carried out to confirm the feasibility of this method. Moreover, the foreign object detecting device has low hardware cost and high detection precision, and can provide a basis for active safety behavior of urban rail transit.
Key wordsrail transit tunnel    foreign body invasion    images detection    information transmission    active safety   
收稿日期: 2019-08-24      出版日期: 2020-01-08
基金资助:国家重点研发计划(2017YFB1001801);江苏省研究生科研与实践创新计划项目(SJCX19_0061)
作者简介: 肖添文(1995-),女,在读硕士研究生,工程师,主要研究方向为交通运输工程、轨道交通障碍物检测和旅出行行为分析。
引用本文:   
肖添文, 徐永能, 徐欣怡. 城市轨道交通隧道异物侵入检测与控制方法[J]. 电气技术, 2019, 20(ZK1): 48-52. Xiao Tianwen, Xu Yongneng, Xu xinyi. Methods for detecting and controlling foreign body invasion in urban rail transit tunnels. Electrical Engineering, 2019, 20(ZK1): 48-52.
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