边缘计算在高速铁路周界入侵监测中的应用研究

Edge computing applied to perimeter intrusion monitoring of high-speed railway

为解决高速铁路线路周界的安(全)防(护)问题,提高对入侵目标的识别精度,保障高速铁路的运行环境不受外部因素干扰,文章结合现有铁路周界入侵监测技术的应用现状及发展趋势,提出边缘计算与视频监控相结合的方法。通过边缘计算提升轨旁视频监控的智能化程度,为线路周界入侵监测提供更加可靠、高效、智能的解决方案,满足智能铁路时代下的高速铁路业务发展需求。

In order to solve the safety prevention problem of the high-speed railway line perimeter,improve the identification accuracy of intrusion targets,and ensure that the high-speed railway operating environment is not disturbed by external factors,this paper proposed a method combining edge computing and video monitoring based on the application status and development trend of the existing railway perimeter intrusion monitoring technology.The paper improves the intelligence degree of trackside video monitoring through edge computing,provides more reliable,efficient and intelligent solutions for line perimeter intrusion monitoring,and meets the needs of high-speed railway business development in the era of intelligent railways.