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高速铁路周界入侵监测设备性能测试方法

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针对高速铁路周界入侵报警前端监测设备上线应用前要对其性能进行充分验证的需求,通过分析高速铁路运行环境,明确了路基段、桥头、隧道口等周界入侵典型应用场景和人员、落石、泥石流等主要入侵行为,提出了主要入侵行为及雨、雾、风等干扰因素的模拟方法;根据监测设备的监测范围,针对视频+振动光纤、视频+激光雷达、视频+毫米波雷达三种测试技术,分别设计误报和漏报的测试用例.基于机械设计、测试技术、电气控制等搭建了测试环境并开展应用.结果表明:降雨对毫米波雷达影响较大,大雨时毫米波雷达漏报率高于50%;降雾对激光雷达影响显著,强浓雾时激光雷达漏报率已达98%.本文提出的测试方法能够准确评价不同监测设备性能,具有科学高效的优点;设计的测试环境可定量模拟雨、雾、风等干扰因素及人员、落石、泥石流等入侵行为.
Performance Testing Method for High Speed Railway Perimeter Intrusion Monitoring Equipment
In response to the requirement of fully verifying the performance of the front-end monitoring equipment for high speed railway perimeter intrusion alarm before its launch,typical application scenarios for perimeter intrusion such as roadbed sections,bridge heads,and tunnel entrances were identified through analysis of the high speed railway operating environment,as well as the main intrusion behaviors such as personnel,falling rocks,and debris flows.A simulation method for the main intrusion behaviors and interference factors such as rain,fog,and wind was proposed.Based on the monitoring range of the monitoring equipment,the test cases for misreporting and underreporting for three testing technologies including video + vibration fiber optic,video + LiDAR,and video+millimeter wave radar were designed.A testing environment was built and applied based on mechanical design,testing technology,electrical control,etc.The results show that rainfall has a significant impact on millimeter wave radar,with a underreporting rate of over 50%during heavy rain.Defogging has a significant impact on LiDAR,with a underreporting rate of 98%in strong fog.The testing method proposed in this article can accurately evaluate the performance of different monitoring devices and has the advantages of scientific and efficient methods.The designed testing environment can quantitatively simulate interference factors such as rain,fog,wind,as well as intrusion behaviors such as personnel,falling rocks,and debris flows.

high speed railwaytesting methodsperimeter intrusionmonitoring equipmentperformance testingtest environmentapplication scenariosinterference factors

暴学志、时佳斌、王智超、柴雪松、徐前文、于国丞、曹金玲

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中国铁道科学研究院集团有限公司 铁道建筑研究所, 北京 100081

中国铁道科学研究院集团有限公司 高速铁路轨道系统全国重点实验室, 北京 100081

广东铁路有限公司肇庆工务段, 广东 肇庆 526040

高速铁路 测试方法 周界入侵 监测设备 性能测试 测试环境 应用场景 干扰因素

中国国家铁路集团有限公司科技研发计划

N2022T007

2024

铁道建筑
中国铁道科学研究院

铁道建筑

北大核心
影响因子:0.623
ISSN:1003-1995
年,卷(期):2024.64(2)
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