铁道运输与经济2025，Vol.47Issue(11)：94-102,9.DOI:10.16668/j.cnki.issn.1003-1421.2025.11.08
基于无人机的铁路外部环境智能巡检技术研究
Intelligent Inspection Technology for Railway External Environment Based on UAVs
摘要
Abstract
Railway lines are subject to numerous types of natural disasters with high frequency of occurrence.Disasters such as heavy rain,earthquakes,mudslides,and lightning have consistently been significant factors affecting driving safety.Meanwhile,human activities around the line also affect the safe operation of the line to a certain extent.The investigation of hidden dangers in the railway external environment has a wide range and diverse types,resulting in a huge workload.The traditional manual inspection mode suffers from unfavorable factors such as poor accessibility and limited viewing angle under complex terrain and environmental conditions,and making it difficult to ensure the efficiency and quality of inspection.To explore the rapid investigation method of potential safety hazards in the railway external environment,this paper proposed the intelligent inspection technology of the railway external environment based on unmanned aerial vehicles(UAVs).The standardized operation process of UAV inspection in the railway external environment was established.Furthermore,the railway UAV inspection management platform was studied,which covered functions such as UAV basic data management,flight plan approval,statistical supervision of disease hazards,inspection data management,and visual display.This platform enables the full-chain management of operators,inspection equipment and data results and the intelligent identification of typical diseases.It provides important technical support and safety guarantee for the investigation of hidden dangers in the railway external environment.关键词
高速铁路/无人机巡检/外部环境/平台设计/可视化展示Key words
High Speed Railway/Unmanned Aerial Vehicle(UAV)Inspection/External Environment/Platform Design/Visualization分类
交通运输引用本文复制引用
张天龙,魏少伟,魏培勇,龚鹏程,李晶..基于无人机的铁路外部环境智能巡检技术研究[J].铁道运输与经济,2025,47(11):94-102,9.基金项目
中国铁道科学研究院集团有限公司科研项目(2023YJ188) （2023YJ188）
