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Similarity comparison of original and remodeled plant 3D piping CAD models using quantitative evaluation metrics for offshore plants

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Abstract

In an offshore plant construction project, engineering, procurement, and construction (EPC) companies need to deliver plant design results to the owner in the form of a plant 3D computer-aided design (CAD) model as specified in the contract. However, owing to the limited data interface of plant 3D CAD systems, EPC companies frequently perform manual remodeling to fulfill the terms and conditions of such contracts. A comparison system that automatically measures the similarity between remodeled and original plant 3D CAD models to validate the remodeled plant 3D CAD model is, therefore, needed. In this paper, we propose a new method that automatically calculates the similarity between original and remodeled plant 3D piping CAD models for offshore plants. We also define similarity evaluation metrics that enable a quantitative value representing the overall similarity between original and remodeled plant 3D piping CAD models to be calculated. Subsequently, we design a similarity comparison system and implement a corresponding prototype based on the design. Similarity evaluation experiments are performed with test plant 3D piping CAD models provided by a large shipbuilding company in Korea to verify the feasibility of the proposed method.

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Acknowledgements

This research was supported by the Industry-University Research Project funded by DSME, by the Industrial Core Technology Development Program (Project ID 10082580) funded by the Ministry of Trade, Industry and Energy, and by the Plant Research Program (Project ID 14IFIP-B091004-01) funded by the Ministry of Land, Infrastructure and Transport of the Korean government. The authors gratefully acknowledge their support.

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Correspondence to Duhwan Mun.

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Kim, B.C., Lee, J., Kim, H. et al. Similarity comparison of original and remodeled plant 3D piping CAD models using quantitative evaluation metrics for offshore plants. J Mar Sci Technol 23, 647–661 (2018). https://doi.org/10.1007/s00773-017-0501-7

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  • DOI: https://doi.org/10.1007/s00773-017-0501-7

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