Research on Auto Matching of Measuring Points Data with CAD Model for Hull Blocks

Abstract:

Precise matching of measurement data with CAD model for hull block is the key to accurately analysis manufacturing errors and rationally evaluate manufacturing precision. A algorithm to automatically match measurement data with CAD model is proposed. The measurement data is measured by total station, which is currently used in the shipyard. The algorithm is divided into two steps. One is rough matching and another is refined matching. Rough matching that adopts PCA algorithm can narrow the dislocation between measurement data and CAD model. The pair-wise points are matched by searching minimum distance. Initialized by the former result based on rough matching, refined matching that adopts Euler rotation theory leads to perfect matching by translating and rotating the measured points. Experimental results show that the proposed algorithm can automatically match measurement data with CAD model without prior information on transformation, and evaluates manufacturing precision of hull blocks accurately, and provides an instructive basis for subsequent assembly.

• Periodical: Advanced Materials Research (Volume 683)
• Pages: 680-685
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.683.680
• Online since: April 2013
• Authors: Gang Ren, Pin Le Qin, Yan Lin
• Keywords: Auto Matching, Euler Rotation, Hull Block Measuremen, Principal Component Analysis (PCA)

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