Automated dimensional quality assessment of precast laminated panels based on 3D laser scanning
Digital Twins and Intelligent Construction|更新时间:2023-11-28
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Automated dimensional quality assessment of precast laminated panels based on 3D laser scanning
“In the field of architecture, a point cloud based intelligent detection method for multi-scale quality of prefabricated composite panels has been proposed. This method automatically locates and segments point clouds through machine learning algorithms, maps point cloud data into two-dimensional images, and uses image feature detection algorithms to achieve automatic detection. The verification test shows that this method can comprehensively and accurately complete the quality inspection of prefabricated composite panels' factory dimensions, improving the scientificity and accuracy of the inspection.”
Journal of Civil and Environmental EngineeringVol. 46, Issue 1, Pages: 102-109(2024)
作者机构:
1.重庆大学 山地城镇建设与新技术教育部重点实验室;土木工程学院,重庆400045
2.成都建工第一建筑工程有限公司,成都 610017
作者简介:
brief: MA Xiaoxiao (1999- ), PhD candidate, main research interest: intelligent construction, E-mail: MaXX@cqu.edu.cn.
基金信息:
National Key Research and Development Program of China(2021YFF0500903);National Natural Science Foundation of China(52130801)
MA Xiaoxiao,ZHANG Sheng,CHENG Guozhong,et al.Automated dimensional quality assessment of precast laminated panels based on 3D laser scanning[J].Journal of Civil and Environmental Engineering,2024,46(01):102-109.
MA Xiaoxiao,ZHANG Sheng,CHENG Guozhong,et al.Automated dimensional quality assessment of precast laminated panels based on 3D laser scanning[J].Journal of Civil and Environmental Engineering,2024,46(01):102-109. DOI: 10.11835/j.issn.2096-6717.2023.050.
Automated dimensional quality assessment of precast laminated panels based on 3D laser scanning
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