Research on Construction Error Metrology of Hull Ship Blocks Using Large-scale Scanning

被引：0

作者：

Tang, Chuyu ^{[1
]}

Wang, Hao ^{[1
]}

Chen, Genliang ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Shanghai Key Lab Digital Mfg Thin Walled Struct, Shanghai, Peoples R China

来源：

2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC) | 2022年

关键词：

metrology; ship assembly; large-scale scanning; point set registration;

D O I：

10.1109/IAEAC54830.2022.9929930

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Construction error measurement of hull ship block is nontrivial at the stage of block assembly. Traditional way which relies on single-point measurement device is time-consuming. In this paper. an algorithm for the construction error acquisition of ship blocks is proposed, which is based on point set registration between the real scanned point cloud and the designed model of ship blocks. A rigid registration based on Gaussian Mixture Models is employed to match the images obtained by different scanning stations. Then, approximate distance metric for the distance from an arbitrary point to the implicit model is adopted. The construction error is represented as the deviation of the actual positions. The experimental results show that our proposed method is adaptable to the large-scale point cloud with high occlusion, noise and outliers.

引用

页码：553 / 557

页数：5