土木与环境工程学报（中英文）2024，Vol.46Issue(1)：102-109,8.DOI:10.11835/j.issn.2096-6717.2023.050
基于点云数据的预制叠合板尺寸质量智能检测方法
Automated dimensional quality assessment of precast laminated panels based on 3D laser scanning
摘要
Abstract
Dimensional quality assessment(DQA)of precast laminated panels(PLPs)is required to ensure the installation of the components on the construction site.However,existing methods cannot meet the precision and comprehensiveness of PLPs'DQA.In this paper,we propose an automated multi-dimensional quality assessment method for PLPs based on point cloud data(PCD).After pre-processing the original PCD,the scanned PLPs'PCD is automatically extracted by the machine learning algorithms,and down-mapped in different directions to generate two-dimensional(2D)images.DQA of PLPs can be realized automatically by the image feature detection algorithms.The validation experiment is conducted on three PLPs.The result shows that the proposed method meets the dimensional quality assessment accuracy of precast laminated panels.关键词
点云数据/预制叠合板/尺寸质量/智能检测/三维激光扫描Key words
point cloud data/precast laminated panels/dimensional quality assessment/automated assessment/3D laser scanning分类
建筑与水利引用本文复制引用
马晓晓,张胜,程国忠,傅丽华,胡申林,李阳..基于点云数据的预制叠合板尺寸质量智能检测方法[J].土木与环境工程学报（中英文）,2024,46(1):102-109,8.基金项目
国家重点研发计划(2021YFF0500903) （2021YFF0500903）
国家自然科学基金(52130801)National Key Research and Development Program of China(No.2021YFF0500903) （52130801）
National Natural Science Foundation of China(No.52130801) （No.52130801）
