[1]赵连东,刘成,张俊尧,等.无人机远程巡检在铁路工程建设安全风险辨识中的应用[J].高速铁路技术,2025,16(06):97.[doi:10.12098/j.issn.1674-8247.2025.06.014]
　ZHAO Liandong,LIU Cheng,ZHANG Junyao,et al.Application of UAV Remote Inspection in Safety Risk Identification for Railway Engineering Construction[J].HIGH SPEED RAILWAY TECHNOLOGY,2025,16(06):97.[doi:10.12098/j.issn.1674-8247.2025.06.014]
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无人机远程巡检在铁路工程建设安全风险辨识中的应用()

《高速铁路技术》[ISSN:1674-8247/CN:51-1730/U]

卷:
16卷
期数:
2025年06期
页码:
97
栏目:
建造运维
出版日期:
2025-12-30

文章信息/Info

Title:
Application of UAV Remote Inspection in Safety Risk Identification for Railway Engineering Construction
文章编号:
1674-8247(2025)06-0097-07
作者:
赵连东1; 刘成1; 张俊尧2; 张海钉2; 李港1
(1. 中国铁路济南局集团有限公司, 济南 250001; 2. 中国铁道科学研究院集团有限公司, 北京 100081)
Author(s):
ZHAO Liandong1;  LIU Cheng1;  ZHANG Junyao2;  ZHANG Haiding2;  LI Gang1
(1. China Railway Jinan Group Co., Ltd., Jinan 250001, China; 2. China Academy of Railway Sciences Group Co., Ltd., Beijing 100081, China)
关键词:
铁路工程建设;  安全风险辨识;  智能分析;  无人机
Keywords:
railway engineering construction;  safety risk identification;  intelligent analysis;  unmanned aerial vehicle(UAV)
分类号:
U216
DOI:
10.12098/j.issn.1674-8247.2025.06.014
文献标志码:
A
摘要:
针对铁路工程建设传统安全风险辨识方法存在效率低、精度差和人工巡检漏判多等弊端,在铁路工程建设安全风险辨识中引入无人机巡检技术,提升风险辨识的全面性和无死角覆盖,增强风险辨识的精准性,实现风险数据的可追溯性,使得铁路安全风险辨识工作转变为智能化的核心管理工具。构建基于无人机技术和AI分析的铁路工程安全巡检体系,研发无人机安全巡检系统,搭载高分辨率可见光相机、红外热像仪及激光雷达等设备进行多源数据采集,结合AI学习算法实现对铁路施工现场作业安全风险的实时监测预警。通过潍宿高速铁路管辖5个标段的实证分析表明,通过无人机技术结合AI分析能够显著提升铁路施工现场安全风险辨识的准确性与实时性,巡检效率较传统人工方式提升8.5倍,风险发现率提升10%。系统通过无人机、云服务平台和指挥中心的协同作用可为铁路工程建设的安全性提供重要保障。
Abstract:
Aiming to address the limitations of traditional safety risk identification methods in railway engineering construction,such as low efficiency, poor accuracy, and frequent oversight in manual inspections, this paper introduced unmanned aerial vehicle(UAV)inspection technology into the safety risk identification to enhance the comprehensiveness, full-coverage capability and accuracy of risk identification, and ensure traceability of risk data. Consequently, railway safety risk identification has evolved into an intelligent, core management tool. A railway engineering safety inspection system based on UAV technology and AI analysis was established, and a UAV safety inspection system was developed, equipped with high-resolution visible light cameras, infrared thermal imagers, and LiDAR for multi-source data collection. Combined with AI learning algorithms, the system enables real-time monitoring and early warning of safety risks at railway construction sites. Empirical analysis conducted across five project sections of the Weifang-Suzhou High-speed Railway demonstrates that the integration of UAV technology with AI analysis significantly improves the accuracy and timeliness of safety risk identification. Inspection efficiency increases by 8.5 times compared to traditional manual methods, and the risk detection rate improves by 10%. Through the synergistic operation of UAVs, cloud service platforms, and command centers, the system provides crucial support for ensuring the safety of railway engineering construction.

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备注/Memo

备注/Memo:
收稿日期:2025-07-09
作者简介:赵连东(1980-),男,高级工程师。
基金项目:中国铁路济南局集团有限公司科技研究开发计划(2024G27-T)
更新日期/Last Update: 2025-12-30