- Authors
- Xingyi Hu; Kaixin Hu; Hongbo Fan; Lupeng Yan; Daguang Han; Chunli Ying
- Journal
- IOP Conference Series: Materials Science and Engineering, 2020
- DOI
- 10.1088/1757-899x/809/1/012014
- Licence
- CC-BY
- Citations
- 0 (OpenAlex, 3 Aug 2026)
Abstract
Abstract The embedded part (EMP) is a structural form in a building and plays an important role in the fixation of a structural or a non-structural member. After the initial installation, the popular detection method of the EMPs is to use the total station for single-point diagnosis. Due to the difficulties in point-by-point measurement and feature points selecting, it is sophisticated to ensure accuracy and efficiency in the detection process of large-scale EMPs. In order to solve the above issues, this paper proposes an automatic panel detection method for EMPs: (1) 3D laser scanning is used to obtain the actual coordinates of EMPs; (2) Developed algorithm is made to match the coordinates between design and measured data to calculate construction error; (3) Further use of the optimization algorithm to adjust the attitude of the point cloud, minimize the construction error and give the adjustment guidance of EMPs. A case study indicates that the efficiency is improved by about five times compared to the total station technique, and the number of EMPs need to be adjusted is greatly reduced. This method is of great significance for the high-volume component precision installation project.
Cite this work
@article{han2020automaticdetectio,
title = {Automatic Detection Method for Large-Volume Embedded Parts Based on Laser Scanning},
author = {Xingyi Hu and Kaixin Hu and Hongbo Fan and Lupeng Yan and Daguang Han and Chunli Ying},
journal = {IOP Conference Series: Materials Science and Engineering},
year = {2020},
doi = {10.1088/1757-899x/809/1/012014},
}
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Author identity: ORCID 0000-0003-3787-963X · Google Scholar