• 查询稿件
  • 获取最新论文
  • 知晓行业信息
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. DOI: 10.3969/j.issn.1005-8451.2022.06.11
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. DOI: 10.3969/j.issn.1005-8451.2022.06.11
LIANG Shuai, DENG Shengjiang, DAI Jianqiang, LI Yang. Research on intrusion protection system for station platform ends[J]. Railway Computer Application, 2022, 31(6): 57-61. DOI: 10.3969/j.issn.1005-8451.2022.06.11
Citation: LIANG Shuai, DENG Shengjiang, DAI Jianqiang, LI Yang. Research on intrusion protection system for station platform ends[J]. Railway Computer Application, 2022, 31(6): 57-61. DOI: 10.3969/j.issn.1005-8451.2022.06.11

站台端部入侵防护系统的研究

Research on intrusion protection system for station platform ends

  • 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。

     

    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.

     

/

返回文章
返回