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站台端部入侵防护系统的研究
引用本文:梁帅,邓胜江,戴建强,李阳.站台端部入侵防护系统的研究[J].铁路计算机应用,2022,31(6):57-61.
作者姓名:梁帅  邓胜江  戴建强  李阳
作者单位:中国铁道科学研究院集团有限公司 电子计算技术研究所,北京 100081
基金项目:北京经纬信息技术有限公司产业基金(2152DZ7201)
摘    要:为了有效地监控铁路站台端部非法入侵行为,增强铁路站台端部防护能力,提出以激光雷达探测技术为主、以超宽带精准定位识别和图像智能识别分析为辅的站台端部入侵防护系统。该系统能够智能探测入侵目标,精准识别携带有定位标签的工作人员,智能识别穿着专用制服或者工装的工作人员;可将工作人员与非法入侵者区分开来,只对非法入侵进行报警,误报率低。目前,该系统已应用于多个铁路车站,有效地提升了铁路车站安全管理水平。

关 键 词:站台端部  入侵防护  激光雷达探测  超宽带定位  图像识别  智能报警
收稿时间:2022-01-07

Research on intrusion protection system for station platform ends
Institution:Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
Abstract:In order to effectively monitor the illegal intrusion and reinforce the protection for the ends of railway station platform, the intrusion protection system for platform ends based on lidar detection and supplemented by high-precision positioning recognition and image intelligent recognition and analysis is proposed. This system can intelligently detect intrusion targets, accurately identify the staff with positioning labels, and intelligently identify the staff wearing special uniforms. So, this system can distiguish the staff from illegal intruders and sends off alarms only for the illegal intruders and thus has low false alarm rate. At present, it has been applied to several railway stations, which effectively improves the safety management level of railway stations.
Keywords:
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