Abstract | Piping systems are fundamental to a ship's operational infrastructure, supporting key functions such as fuel transfer, cooling, and waste management. Designing these systems requires navigating spatial constraints, ensuring compatibility with equipment connections, adhering to stringent regulations, and minimizing costs. Traditional manual approaches, reliant on Piping and Instrumentation Diagrams (P&IDs) and expert knowledge, are time-consuming and iterative. This study introduces an automated methodology for ship piping design that integrates historical data and quantified expert knowledge. Historical P&IDs and 3D piping models are analyzed to identify design patterns, offering practical guidance for new designs. Simultaneously, expert knowledge is transformed into a comprehensive evaluative framework, allowing for design optimization based on cost, construction feasibility, and operational efficiency. The proposed approach automates the generation of "go zones" and "grouping zones," enabling the application of routing algorithms to streamline the design process. The results are evaluated and visualized using Unity, ensuring effective verification and high-quality outcomes. This methodology significantly improves the efficiency and reliability of ship piping design by bridging traditional expertise with computational techniques. The integration of historical patterns and expert evaluations provides a robust, practical solution to the challenges of modern shipbuilding. |
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Publication Date | 2025-06-22 |
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In-Chang Yeo, Myung-Il Roh, , Jin-Hyeok Kim, In-Su Han, Dong-Woo Kim,"A Methodfor Optimizing Pump Tower Design in LNG Tanks Considering Structural Safety", PRADS 2025, Ann Arbor, United States, pp. ??, 2025.10.19-23
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In-Su Han, Myung-Il Roh, Min-Chul Kong, "A Generative AI-based Q&A System for Design Regulations", Proceedings of International Symposium on PRADS 2025, Ann Arbor, United States, pp. ??, 2025.10.19-23
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Min-Chul Kong, Myung-Il Roh, In-Su Han, Seong-Won Choi, Mijin Kim, Jeoungyoun Kim, Inseok Lee, "A METHOD FOR SHIP PIPING DESIGN USING PAST DATA AND EXPERT KNOWLEDGE", Proceedings of OMAE2025, Vancouver, Canada, 2025.06.22-27
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Yun-Sik Kim, Myung-Il Roh, Ha-Yun Kim, In-Chang Yeo, Nam-Sun Son, "A Method for Robust Tracking and Fusion of Maritime Obstacles Using Multiple Sensor Data", Proceedings of ISOPE 2025, Goyang, Korea, 2025.06.01-06
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Do-Hyeok Ahn, Myung-Il Roh, In-Chang Yeo, Do-Hyun Chun, "A Method for Automatic Control of the Block Lifting by an Offshore Floating Crane Based on Deep Reinforcement Learning", p.?, Proceedings of ISOPE 2025, Goyang, Korea, 2025.06.01-06
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Seong-Won Choi, Myung-Il Roh, In-Chang Yeo, "A Method for Collision Avoidance of an Autonomous Ship in Dynamic Environments", p.?, Proceedings of ISOPE 2025, Goyang, Korea, 2025.06.01-06
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안도혁, 노명일, 여인창, 이혜원, 전도현, "다양한 해상 상태를 고려한 해상 크레인의 심층 강화 학습 기반 제어 방법", 2025년도 한국CDE학회 동계학술발표회, 모나용평, p. ?, 2024.02.19-02.22