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

作　　者：王通 廖浩羽 WANG Tong;LIAO Haoyu(China Government&Enterprise Digital Government Transport Account Dept,Huawei Technologies Co.Ltd.,Beijing 100077,China;Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)

机构地区：[1]华为技术有限公司中国政企数字政府交通系统部,北京100077 [2]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

出　　处：《铁路计算机应用》2024年第5期40-45,共6页Railway Computer Application

基　　金：中国国家铁路集团有限公司科技研究开发计划(P2021T001)。

摘　　要：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.

关 键 词：边缘计算 人工智能 周界入侵监测 高速铁路 视频监控 智能铁路 

分 类 号：U216.3[交通运输工程—道路与铁道工程] U238[自动化与计算机技术—计算机应用技术] TP39[自动化与计算机技术—计算机科学与技术]