摘要
针对重载铁路沿线列车行驶时存在边坡落石、隧道口塌方等线路环境灾害和人员违规上道、非法破坏或穿越铁路栅栏等人为因素的隐患问题,提出了一种基于振动光纤与相机联动的铁路异物入侵监测技术,对该技术进行了详细论述,相关测试结果表明,该技术对于重载铁路沿线和隧道口上方的高陡边坡复杂的自然环境以及一些人为违规产生的隐患问题可有效监测,及时报告,以尽快解决相关问题。同时,系统可实现长距离、全天候工作,为智慧铁路提供新技术和新思路。
The article proposes a railway foreign object intrusion monitoring technology based on vibration fiber optic and camera linkage to address the hidden dangers of environmental disasters such as slope rockfall and tunnel collapse during the operation of trains along heavy-duty railways,as well as personnel violating regulations,illegally damaging or crossing railway fences.Relevant tests have shown that this technology can effectively solve the above problems,achieve long-distance,all-weather work,and provide new technologies and ideas for smart railways.
作者
邹恒
刘奇锋
李荣喆
Zou Heng;Liu Qifeng;Li Rongzhe(School of Mechanical and Electronic Control Engineering,Beijing Jiaotong University,Beijing 100000;CHN Energy Transportation Technology Research Institute Co.,Ltd.,Beijing 100000)
出处
《现代工程科技》
2024年第12期125-128,共4页
Modern Engineering Technology
基金
国能朔黄铁路发展有限责任公司科技创新项目(SHTL-22-28)。
关键词
重载铁路
振动光纤
激光相机
heavy load railway
vibration fiber optic
laser camera