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http://dx.doi.org/10.7734/COSEIK.2016.29.2.123

A Study on Matching Method of Hull Blocks Based on Point Clouds for Error Prediction  

Li, Runqi (Department of Naval Architecture and Ocean Engineering, Inha Univ.)
Lee, Kyung-Ho (Department of Naval Architecture and Ocean Engineering, Inha Univ.)
Lee, Jung-Min (Department of Naval Architecture and Ocean Engineering, Inha Univ.)
Nam, Byeong-Wook (Department of Naval Architecture and Ocean Engineering, Inha Univ.)
Kim, Dae-Seok (CAD Convergence Tech. dev. Dep't, Hyundai Heavy Industries Co., LTD.)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.29, no.2, 2016 , pp. 123-130 More about this Journal
Abstract
With the development of fast construction mode in shipbuilding market, the demand on accuracy management of hull is becoming higher and higher in shipbuilding industry. In order to enhance production efficiency and reduce manufacturing cycle time in shipbuilding industry, it is important for shipyards to have the accuracy of ship components evaluated efficiently during the whole manufacturing cycle time. In accurate shipbuilding process, block accuracy is the key part, which has significant meaning in shortening the period of shipbuilding process, decreasing cost and improving the quality of ship. The key of block accuracy control is to create a integrate block accuracy controlling system, which makes great sense in implementing comprehensive accuracy controlling, increasing block accuracy, standardization of proceeding of accuracy controlling, realizing "zero-defect transferring" and advancing non-allowance shipbuilding. Generally, managers of accuracy control measure the vital points at section surface of block by using the heavy total station, which is inconvenient and time-consuming for measurement of vital points. In this paper, a new measurement method based on point clouds technique has been proposed. This method is to measure the 3D coordinates values of vital points at section surface of block by using 3D scanner, and then compare the measured point with design point based on ICP algorithm which has an allowable error check process that makes sure that whether or not the error between design point and measured point is within the margin of error.
Keywords
hull block; error prediction; accuracy control; point clouds; ICP(iterative closest point);
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