基于三维扫描技术的钢轨接头自动建模与病害识别研究  

Automatic Modeling and Defect Identification of Rail Joints Based on 3D Scanning TechnologyScanning Technology

作　　者：熊承莉 路宏遥 胡倩倩 Xiong Chengi;Lu Hongyao;Hu Qianqian(School of Urban Rail Transportation,Shanghai University of Engineering Science,Shanghai 201620,China)

机构地区：[1]上海工程技术大学城市轨道交通学院,上海201620

出　　处：《土木建筑工程信息技术》2024年第4期81-85,共5页Journal of Information Technology in Civil Engineering and Architecture

基　　金：上海市大学生创新训练项目“基于数字孪生的轨道板缺陷检测系统”(编号:cs2310003);上海工程技术大学产教融合课程建设项目“铁道工程BIM课程设计”(编号:k202310002)。

摘　　要：随着铁路事业的迅速发展,我国对钢轨检修和维护的需求日益增加。为了提高钢轨检修的效率和准确性,本文基于数字化钢轨模型的建立,运用三维扫描设备对钢轨接头进行扫描,获取图像点云数据,处理和拼接点云数据,并建立BIM模型,实现钢轨接头病害的自动识别。通过可视化呈现钢轨接头,能够有效识别主要病害类型及误差数据,对钢轨接头病害进行评估,真实反映钢轨接头、接头夹板及螺栓等部件的病害情况,为铁路钢轨养护和维修工程的信息化和科学化管理提供借鉴。With the rapid advancement of China’s railway industry,the demand for rail overhaul and maintenance is becoming increasingly pressing.To enhance the efficiency and accuracy of rail maintenance,this study leverages the establishment of digital rail models and 3D scanning technology.The research involves scanning rail joints with 3D equipment to capture image point cloud data,processing and stitching this data,constructing BIM models,and automating the identification of rail joint defects.This approach facilitates the visual representation of rail joints,accurately identifies principal defect types and measurement errors,and assesses the conditions of rail joints,joint splints,and bolts.The results provide a detailed reflection of these components’conditions and offer a basis for advancing the informatization and scientific man-agement of railway maintenance and repair projects.

关 键 词：钢轨接头 三维扫描 点云数据 BIM 养护维修 

分 类 号：TU17[建筑科学—建筑理论]