基于无人机点云与BIM模型的桥梁施工进度识别方法  

Bridge Construction Progress Identification Method Based on UAV Point Cloud and BIM Model

作　　者：冯东明[1,2,3] 葛健[1,2] 吴刚[1,2,3] 员建斌[4] FENG Dongming;GE Jian;WU Gang;YUAN Jianbin(Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education,Southeast University,Nanjing 211189,Jiangsu,China;International and Local Joint Engineering Research Center for Intelligent Construction and Maintenance,Southeast University,Nanjing 211189,Jiangsu,China;School of Civil Engineering,Southeast University,Nanjing 211189,Jiangsu,China;China Railway Construction Investment Shanxi Expressway Co.,Ltd.,Yuncheng 044031,Shanxi,China)

机构地区：[1]东南大学混凝土及预应力混凝土结构教育部重点实验室,江苏南京211189 [2]东南大学智慧建造与运维国际地方联合工程研究中心,江苏南京211189 [3]东南大学土木工程学院,江苏南京211189 [4]中铁建投山西高速公路有限公司,山西运城044031

出　　处：《重庆交通大学学报（自然科学版）》2024年第6期1-7,共7页Journal of Chongqing Jiaotong University(Natural Science)

基　　金：国家重大科研仪器研制项目(52127813);国家重点研发计划项目(2020YFC1511900)。

摘　　要：为准确实现桥梁施工进度监控自动化,提出一种基于无人机(unmanned aerial vehicle,UAV)点云和BIM模型的桥梁施工进度识别方法。该方法基于UAV路径规划及三维重建获取实际进度点云,通过BIM模型转点云的方式将BIM模型转化为计划进度点云,配准实际与计划进度点云,基于最近邻搜索及颜色区域生长分割桥梁构件,获得桥梁各构件的完成度。以山西临猗黄河大桥为研究对象,采集实际与计划点云数据,计算所得的各构件完成度准确度均在95%以上。该方法可快速采集进度数据并实现构件级别的桥梁施工进度识别,提高桥梁施工进度监控的自动化。In order to accurately and automatically monitor bridge construction progress,a bridge construction progress identification method based on unmanned aerial vehicle(UAV)point cloud and BIM model was proposed.Firstly,as-built point clouds were obtained based on UAV flight planning and 3D reconstruction,and the BIM model was converted into as-planned point clouds by turning the BIM model into point clouds.Secondly,bridge components were segmented based on the nearest neighbor search and color region growth after the registration between as-built and as-planned point clouds.Finally,the percentage of completion of each bridge component was acquired.Taking Shanxi Linyi Yellow River Bridge as the research example,the as-built and as-planned point cloud data were collected,and the accuracy of the calculated percentage of completion of each component was above 95%.The proposed method can quickly collect progress data and realize bridge construction progress identification at the component level,which improves the automation of bridge construction progress monitoring.

关 键 词：桥梁工程 施工进度识别 无人机 点云 BIM 三维重建 

分 类 号：U445[建筑科学—桥梁与隧道工程] TU722[交通运输工程—道路与铁道工程]