上海国土资源2025，Vol.46Issue(2)：65-71,79,8.DOI:10.3969/j.issn.2095-1329.2025.02.009
基于低空热红外影像的城市轨道交通风险安全监护关键技术
Key technologies for risk safety monitoring of urban rail transit based on low-altitude thermal infrared imagery
摘要
Abstract
Inspection of rail transit safety protection zones is a critical measure for ensuring urban rail transit safety.However,in complex nocturnal environments,traditional manual inspections and UAV visible light technologies struggle to meet inspection requirements.To address these challenges,this paper proposes an intelligent monitoring method integrating thermal infrared imagery technology with the YOLOv5 deep learning algorithm.The approach involves equipping unmanned aerial vehicles(UAVs)with thermal infrared cameras for nocturnal image acquisition in protection zones.The YOLOv5 model is employed for target detection of construction equipment in thermal infrared imagery,while thermal anomaly feature extraction,dynamic background modeling,and a multi-rule classifier are comprehensively applied to achieve automatic identification and judgment of construction equipment status.This study selects the Liuchen Road Depot of Shanghai Metro Line 21 as the experimental area,conducting test research through route design,dataset preparation,model training,and performance evaluation.Experimental results demonstrate high accuracy in equipment identification and status monitoring,with the overall model algorithm precision reaching 94.33%and a Kappa coefficient of 0.89.This method effectively fulfills the demands of nocturnal rail transit inspections,enabling precise recognition of nighttime construction equipment in safety protection zones,early warning of abnormal environmental temperature changes,and discrimination of equipment operating states.It provides a feasible technical solution for implementing nocturnal inspections of urban rail transit systems.关键词
轨道交通安全保护区/热红外影像/无人机/深度学习/智能监测Key words
rail transit safety protection zone/thermal infrared imagery/UAV(unmanned aerial vehicle)/deep learning/intelligent monitoring分类
天文与地球科学引用本文复制引用
陈方敏,廖志坚,孟陈..基于低空热红外影像的城市轨道交通风险安全监护关键技术[J].上海国土资源,2025,46(2):65-71,79,8.基金项目
上海市"科技创新行动计划"高新技术领域项目(22511102800) （22511102800）
