[1]刘勇,杨学锋,王祥,等.复杂山区铁路地质灾害协同监测预警技术研究[J].高速铁路技术,2025,16(06):74-82.[doi:10.12098/j.issn.1674-8247.2025.06.011]
　LIU Yong,YANG Xuefeng,WANG Xiang,et al.Study on Collaborative Monitoring and Early Warning Technology of Geological Disasters Along Railways in Complex Mountainous Areas[J].HIGH SPEED RAILWAY TECHNOLOGY,2025,16(06):74-82.[doi:10.12098/j.issn.1674-8247.2025.06.011]
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复杂山区铁路地质灾害协同监测预警技术研究()

《高速铁路技术》[ISSN:1674-8247/CN:51-1730/U]

卷:
16卷
期数:
2025年06期
页码:
74-82
栏目:
建造运维
出版日期:
2025-12-30

文章信息/Info

Title:
Study on Collaborative Monitoring and Early Warning Technology of Geological Disasters Along Railways in Complex Mountainous Areas
文章编号:
1674-8247(2025)06-0074-09
作者:
刘勇1; 杨学锋1; 王祥2; 杨捷1; 古宇鹏3
(1.中铁二院工程集团有限责任公司, 成都 610031; 2.中铁第四勘察设计院集团有限公司, 武汉 430063; 3.中铁大桥局集团有限公司, 武汉 430050)
Author(s):
LIU Yong1;  YANG Xuefeng1;  WANG Xiang2;  YANG Jie1;  GU Yupeng3
(1. China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, China; 2. China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China; 3. China Railway Major Bridge Engineering Group Co., Ltd., Wuhan 430050, China)
关键词:
山区铁路;  地质灾害;  协同监测;  预警;  多源感知
Keywords:
mountain railway;  geological disasters;  collaborative monitoring;  early warning;  multi-source perception
分类号:
X951; U216.41
DOI:
10.12098/j.issn.1674-8247.2025.06.011
文献标志码:
A
摘要:
近年来地震、暴雨等灾害事件频发,大大加剧了复杂山区铁路沿线地质灾害风险,给西部铁路建设、运营工作带来了巨大挑战。由于铁路地域跨度大、沿线地灾分布广、应急抢修难度高,常规监测手段面临安装困难、适应性差等诸多局限,如何实现铁路沿线地质灾害精准识别、多源感知和准确预警成为亟待解决的难题。结合铁路防灾减灾、智能运维的重大需求,研发了高精度三维形变监测雷达、激光雷达与视频融合异物侵限报警设备等一系列新型地面多源感知装备,并搭建三维可视化大数据综合分析预警平台,形成了复杂山区铁路沿线地质灾害数据获取、识别、多源感知和预警技术体系,研究成果应用于某高原隧道进口高陡边仰坡监测,准确识别坡体施工加固期间扰动变形,为现场施工安全提供了有力保障。该技术作为减灾选线、智能运维的重要组成部分,可推广应用于复杂山区铁路工程建设及运营。
Abstract:
In recent years, the frequent occurrence of disasters such as earthquakes and rainstorms has greatly increased the risk of geological disasters along railways in complex mountainous areas, and brought great challenges to the construction and operation of railways in western China. Due to the large geographical span, wide distribution of geological disasters along the railways, and high difficulty in emergency repair, conventional monitoring methods face installation difficulties, poor adaptability and other limitations. Thus,achieving accurate identification, multi-source perception, and accurate early warning of geological disasters along the railway has become an urgent problem to be solved. A series of new ground multi-source sensing equipment, such as high-precision 3D deformation monitoring radar, laser radar and video fusion foreign object intrusion limit alarm device, have been developed to meet the major needs of railway disaster prevention, mitigation and intelligent operation and maintenance. A 3D visualization big data comprehensive analysis and early warning platform has been built, forming a technology system for geological disaster data acquisition, identification, multi-source perception and early warning. The research results have been applied to the monitoring of the steep slope at the entrance of a high-altitude tunnel, accurately identifying the disturbance deformation during slope construction reinforcement, thereby providing strong guarantee for on-site construction safety. As an important component of disaster reduction route selection and intelligent operation and maintenance, this technology can be widely applied to the construction and operation of complex mountainous railway projects.

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备注/Memo

备注/Memo:
收稿日期:2025-07-17
作者简介:刘勇(1988-),男,高级工程师。
基金项目:国家重点研发计划(2023YFB2604402); 四川省科技成果转移转化示范项目(2024ZHCG0038); 成都市重点研发支撑计划(2023-YF11-00028-HZ)
更新日期/Last Update: 2025-12-30