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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.
Publication Date 2025-06-22
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", p.?, Proceedings of OMAE2025, Vancouver, Canada, 2025.06.22-27

List of Articles
번호 분류 제목 Publication Date
542 International Conference 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 2025-06-01
541 Domestic Conference 여인창, 노명일, "다중 센서의 융합 기반 단거리 해상 장애물 탐지 및 추적 방법", 스마트전기선박연구회 동계학술발표회, 선박해양플랜트연구소, 2024.02.17-02.18 file 2025-02-17
540 Domestic Conference 여인창, 노명일, "LIDAR를 이용한 선박의 위치 예측 알고리즘", 2025년도 한국CDE학회 동계학술발표회, 모나용평, p. ?, 2024.02.19-02.22 2025-02-20
539 International Conference 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 2025-06-01
» International Conference 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 2025-06-22
537 Domestic Conference 김하연, 노명일, 안도혁, 공민철, 여인창, "해상 장애물 추적을 위한 다목적 시뮬레이션 프로그램 개발", 2024년도 대한조선학회 추계학술발표회, 창원, p. 533, 2024.11.14-11.15 file 2024-11-15
536 Domestic Conference 여인창, 노명일, 공민철, 유동훈, "소형 무인선을 위한 접이안 경로 계획 방법", 2024년도 대한조선학회 추계학술발표회, 창원, p. 523, 2024.11.14-11.15 file 2024-11-14
535 Domestic Conference 김윤식, 노명일, 김하연, 여인창, 손남선, "해상 장애물 추적을 위한 영상 내 수평선 탐지 방법", 2024년도 대한조선학회 추계학술발표회, 창원, p. 532, 2024.11.14-11.15 file 2024-11-14
534 Domestic Conference 한인수, 노명일, 공민철, 이정렬, "사용자의 질의 의도를 고려한 생성형 AI 기반의 선박 규정 검색 방법", 2024년도 대한조선학회 추계학술발표회, 창원, p. 435, 2024.11.14-11.15 file 2024-11-15
533 Domestic Conference 박동규, 노명일, 공민철, 여인창, "요구 조건을 고려한 소형 함정의 초기 제원 최적화 방법", 2024년도 대한조선학회 추계학술발표회, 창원, p. 213, 2024.11.14-11.15 file 2024-11-14
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