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轨道交通基础设施自主无人机智能巡检技术现状与发展趋势

秦勇 王志鹏 张紫城 杨怀志 孟凡腾 崔京 仇宁海 孟彤 刘鹏帅 汪洋

铁路通信信号工程技术2025,Vol.22Issue(2):1-10,10.
铁路通信信号工程技术2025,Vol.22Issue(2):1-10,10.DOI:10.3969/j.issn.1673-4440.2025.02.001

轨道交通基础设施自主无人机智能巡检技术现状与发展趋势

Current Status and Development Trends of Autonomous UAV Intelligent Inspection Technology for Railway Infrastructure

秦勇 1王志鹏 1张紫城 1杨怀志 2孟凡腾 1崔京 1仇宁海 1孟彤 1刘鹏帅 1汪洋1

作者信息

  • 1. 北京交通大学先进轨道交通自主运行全国重点实验室,北京 100044||运营主动安全保障与风险防控铁路行业重点实验室,北京 100044
  • 2. 京沪高速铁路股份有限公司,北京 100038||京福铁路客运专线安徽有限责任公司,合肥 230031
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摘要

Abstract

With the extended service life of existing railway infrastructure,its performance deteriorates due to the impact of the environment and natural disasters,resulting in frequent damages.Advanced inspection technologies are required to comprehensively monitor its service status.Current mechanical and sensor-assisted inspection methods have problems such as low inspection frequency,limited coverage,and insufficient intelligent analysis capabilities.There are many inspection blind spots in areas like bridges,tunnel entrances,etc.UAV inspection has advantages such as aerial operation,long-distance coverage,and less restriction by terrain and construction windows.This paper focuses on the"edge-cloud collaboration"distributed architecture of the UAV intelligent inspection analysis system for rail transport.It explores how edge-end technologies,cloud technologies,and intelligent analysis models collaborate to optimize the inspection tasks of railway infrastructure.The inspection value of this technology is verified through practical engineering application cases.Based on the autonomy level of the UAV system,the potential application scenarios and research directions of future UAV technologies in the inspection of railway infrastructure are envisioned.

关键词

轨道交通基础设施/自主无人机/智能巡检/边云协同

Key words

railway infrastructure/autonomous unmanned aerial vehicles/intelligent inspection/edge-cloud collaboration

分类

航空航天

引用本文复制引用

秦勇,王志鹏,张紫城,杨怀志,孟凡腾,崔京,仇宁海,孟彤,刘鹏帅,汪洋..轨道交通基础设施自主无人机智能巡检技术现状与发展趋势[J].铁路通信信号工程技术,2025,22(2):1-10,10.

基金项目

国家重点研发计划项目(2022YFB4300600) (2022YFB4300600)

先进轨道交通自主运行全国重点实验室自主研究课题项目(RAO2023ZZ003) (RAO2023ZZ003)

京沪高速铁路股份有限公司科技研究项目(京沪科研-2024-16) (京沪科研-2024-16)

铁路通信信号工程技术

1673-4440

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