摘要
轨道巡检机器人采用人工智能视觉测量技术,通过在轨道上自动行驶,实现对钢轨、扣件、轨枕等轨道结构件外观病害的快速准确检测,以解决传统人工巡道存在的人力成本高、工作效率低、主观经验性强、易漏检等问题。本文在阐述机器人功能、系统架构和技术原理的基础上,重点介绍机器人在青藏铁路的试用情况,展示典型检测结果,并对其应用条件进行初步探索。试用结果表明,该机器人具有较高的检测准确率和环境适应性,对于提高青藏铁路工务维保数字化管理水平具有实际价值。
The track inspection robot uses artificial intelligence vision measurement technology to quickly and accurately detect the surface defects of rail structural parts,such as rail,fasteners and sleeper,by moving automatically on the track,which solves the problems of high labor cost,low work efficiency,strong subjective experience and easy to miss detection in traditional manual inspection.On the basis of introducing the function,system architecture and technical principle of the robot,this paper mainly introduces the trial using situation of the robot in the Qinghai-Xizang Railway,shows the typical test results,and conduct preliminary exploration on its application conditions.The trial results show that the robot has high detection accuracy and environmental adaptability,and has practical value for improving the digital management level of Qinghai-Xizang Railway public works maintenance.
作者
郭继林
GUO Jilin(China Railway 12th Bureau Group Railway Maintenance Engineering Co.Ltd.,Chengdu Sichuan 610000,China)
出处
《铁道建筑技术》
2024年第10期67-70,共4页
Railway Construction Technology
基金
中铁十二局集团有限公司科技研发计划项目(集团2024研34号)。
关键词
轨道巡检
机器人
视觉测量
工务维保
数字化管理
track inspection
robot
vision measurement
public works maintenance
digital management