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3D Reconstruction and Measurement of Surface Defects in Prefabricated Elements Using Point Clouds
Due to a higher efficiency and lower cost, prefabricated construction is gradually gaining acceptance within the market. Laser scanning has already been adopted in civil engineering to reconstruct a three-dimensional (3D) model of a structure, to monitor the deformation, and so on. This paper seeks to explore a more automated and accurate quality control process, focusing on the surface defects in prefabricated elements. Laser scanning is adopted for data collection and the 3D reconstruction of the prefabricated components. Besides, a new point cloud preprocessing, involving the -nearest neighbors (KNN) algorithm, a reduction of the data dimension, and data gridding, is developed to improve the efficiency and accuracy of subsequent algorithms. The Delaunay triangle is used to extract the contour of the point cloud, and then the contour is fitted to further determine the geometric data. Meanwhile, a comprehensive quality control system of prefabricated components based on relevant specifications is proposed, and the quality of prefabricated components is monitored intuitively by the values of indicators. In order to integrate it into the building information modeling (BIM) platform and better store the obtained quality information, the production quality information is designed to be extended to the Industry Foundation Classes (IFC) standard. The proposed approach will be applied to analyze the causes of quality problems in the production process and strengthen the quality control. This study designs a more efficient and accurate quality evaluation process, including data collection, data processing, indicator calculation, and quality evaluation. Moreover, the results moving forward can provide feedback to the cause of the quality issues and further improve the production quality of prefabricated elements.
3D Reconstruction and Measurement of Surface Defects in Prefabricated Elements Using Point Clouds
Due to a higher efficiency and lower cost, prefabricated construction is gradually gaining acceptance within the market. Laser scanning has already been adopted in civil engineering to reconstruct a three-dimensional (3D) model of a structure, to monitor the deformation, and so on. This paper seeks to explore a more automated and accurate quality control process, focusing on the surface defects in prefabricated elements. Laser scanning is adopted for data collection and the 3D reconstruction of the prefabricated components. Besides, a new point cloud preprocessing, involving the -nearest neighbors (KNN) algorithm, a reduction of the data dimension, and data gridding, is developed to improve the efficiency and accuracy of subsequent algorithms. The Delaunay triangle is used to extract the contour of the point cloud, and then the contour is fitted to further determine the geometric data. Meanwhile, a comprehensive quality control system of prefabricated components based on relevant specifications is proposed, and the quality of prefabricated components is monitored intuitively by the values of indicators. In order to integrate it into the building information modeling (BIM) platform and better store the obtained quality information, the production quality information is designed to be extended to the Industry Foundation Classes (IFC) standard. The proposed approach will be applied to analyze the causes of quality problems in the production process and strengthen the quality control. This study designs a more efficient and accurate quality evaluation process, including data collection, data processing, indicator calculation, and quality evaluation. Moreover, the results moving forward can provide feedback to the cause of the quality issues and further improve the production quality of prefabricated elements.
3D Reconstruction and Measurement of Surface Defects in Prefabricated Elements Using Point Clouds
Xu, Zhao (author) / Kang, Rui (author) / Lu, Ruodan (author)
2020-07-03
Article (Journal)
Electronic Resource
Unknown
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