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作 者:郑中 ZHENG Zhong(China Railway Fifth Survey and Design Institute Group Co.,Ltd.,Beijing 102600,China)
机构地区:[1]中铁第五勘察设计院集团有限公司,北京102600
出 处:《国防交通工程与技术》2024年第2期7-10,26,共5页Traffic Engineering and Technology for National Defence
摘 要:我国疆域辽阔,铁路、公路等长大线性工程众多,各类线性工程反入侵形势严峻。由于线性入侵具有突发性、随机性等特点,传统阻拦设施使用单一传感器难以实现有效防护。设计了一套基于多传感器融合的智能反入侵系统,包括前端感知子系统、网络通信子系统、软件平台子系统;介绍了各子系统的组成、工作流程和具体功能。系统综合利用人工智能、物联网等先进技术,可有效降低长大线性工程入侵误报率,大幅降低人工核查工作量,实现长大线性工程入侵行为的有效防范。China has a vast territory with numerous long-distance linear projects such as railways and highways,and the situation of invasion prevention for various linear projects is severe.Due to the characteristics of suddenness and randomness of linear invasion,it is difficult to achieve effective protection using traditional blocking facilities with a single sensor.An intelligent anti-invasion system based on multi-sensor fusion has been designed,including front-end perception subsystem,network communication subsystem,and software platform subsystem.The composition,workflow,and specific functions of each subsystem are introduced.The system comprehensively utilizes advanced technologies such as artificial intelligence and Internet of Things.It can effectively reduce the false alarm rate of long-distance linear project invasion,greatly reduce the workload of manual verification,and achieve effective prevention of long-distance linear project invasion.
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