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A case study on the introduction of an advanced ship inspection method: Gross tonnage measurement 3D point clouds

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주제분류조선공학

초록

This study examines the feasibility of gross tonnage (GT) measurement using 3D point cloud technology as a digital alternative to traditional manual methods. While ships over 24 m follow standardized regulations under the 1969 Tonnage Measurement Convention (TMC), those under 24 m are subject to diverse national rules, often based on simplified formulas. In this study, 3D point clouds were acquired using laser scanners for two Korean vessels—a government-owned ship over 24 m and a fishing vessel under 24 m. After post-processing, the enclosed volume was estimated using a convex hull algorithm and compared with GT values calculated under national standards. The point cloud-based method showed minimal variation, with a maximum difference of 0.30 % in volume and 0.23 TON in GT. These results indicate that 3D scanning provides a reliable and accurate alternative for GT measurement and offers potential for broader institutional adoption through standardized digital workflows.

Abstract

This study examines the feasibility of gross tonnage (GT) measurement using 3D point cloud technology as a digital alternative to traditional manual methods. While ships over 24 m follow standardized regulations under the 1969 Tonnage Measurement Convention (TMC), those under 24 m are subject to diverse national rules, often based on simplified formulas. In this study, 3D point clouds were acquired using laser scanners for two Korean vessels—a government-owned ship over 24 m and a fishing vessel under 24 m. After post-processing, the enclosed volume was estimated using a convex hull algorithm and compared with GT values calculated under national standards. The point cloud-based method showed minimal variation, with a maximum difference of 0.30 % in volume and 0.23 TON in GT. These results indicate that 3D scanning provides a reliable and accurate alternative for GT measurement and offers potential for broader institutional adoption through standardized digital workflows.

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