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Abstract Within the engine room, a complex network of various equipment and pipes can be found. These components are installed and manufactured using a modular approach. Specifically, the equipment unit module comprises the equipment itself and the piping surrounding its inlet and outlet. When arranging these unit modules, engineers must consider the equipment's installation location and the interconnecting routes. Notably, a conventional piping pattern, based on expert knowledge and guidelines, is typically employed around the equipment's inlet and outlet. However, this design process heavily relies on an engineer's experience and needs more quantitative evaluation. As a result, non-experts find it challenging to understand the characteristics and design the arrangement of the equipment unit module. Moreover, due to the complexity of these patterns, the design review process requires substantial resources. To address these challenges, we propose a method for analyzing piping patterns and automatically generating optimal patterns for equipment unit modules. To identify the patterns, we preprocess the intricately interconnected piping group. Piping can be represented as connection lines since they serve the purpose of connecting equipment. By simplifying these connections, a topological approach based on equipment can be employed, enabling the analysis of overall patterns and the understanding of equipment relationships. In this study, we compared the results of each analysis using traditional techniques such as the Dijkstra and A* algorithms and the latest technique, a graph neural network (GNN) model based on deep learning. By applying the method that yielded the best results, we could develop a model capable of recommending optimal patterns. Finally, we applied the proposed method to analyze patterns and generate optimal patterns for major equipment unit modules within the engine room, verifying its effectiveness.
Publication Date 2023-10-19
Min-Chul Kong, Myung-Il Roh, Jisang Ha, Mijin Kim, Jeoungyoun Kim, "A Method for the Generation of Optimal Patterns for Equipment Unit Modules in the Engine Room", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20

  1. No Image 02May
    by SyDLab
    in International Conference

    Min-Chul Kong, Myung-Il Roh, In-Su Han, Mijin Kim, Jeoungyoun Kim, "A Method for Pipe Auto-routing Using Graph and Octree Structure", Proceedings of G-NAOE 2024, Southampton, UK, 2024.11.05-09

  2. No Image 01May
    by SyDLab
    in International Conference

    Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, "A Method for the Automatic Generation of Hull Form Surfaces Based on MLP (Multi-Layer Perceptron) Considering Design Requirements", Proceedings of G-NAOE 2024, Southampton, UK, 2024.11.05-09

  3. No Image 01May
    by SyDLab
    in International Conference

    In-Su Han, Myung-Il Roh, Min-Chul Kong, Jeongyoul Lee, Seoyoon Park, "A Search Method for Ship Regulations Considering Document Features", Proceedings of ICCAS 2024, Genoa, Italy, 2024.09.10-12

  4. No Image 01May
    by SyDLab
    in International Conference

    Ha-Yun Kim, Myung-Il Roh, Jisang Ha, In-Chang Yeo, Nam-Sun Son, "A Learning-based Method for Tracking Maritime Obstacles in Real-time", Proceedings of ISOPE 2024, Rhodos, Greece, 2024.06.16-21

  5. No Image 01May
    by SyDLab
    in International Conference

    In-Chang Yeo, Myung-Il Roh, Min-Chul Kong, Dongki Min, Dongguen Jeong, "An Automated Method for the Review of a Ship’s Safety Plan Based on Deep Learning", Proceedings of ISOPE 2024, Rhodos, Greece, 2024.06.16-21

  6. No Image 28Feb
    by SyDLab
    in International Conference

    Jisang Ha, Myung-Il Roh, Min-Chul Kong, Mijin Kim, Jeoungyoun Kim, Nam-Kug Ku, "An Automated Method for Pipe Routing in Ship Unit Modules", Proceedings of IMDC 2024, Amsterdam, Netherland, 2024.06.02-06

  7. No Image 28Feb
    by SyDLab
    in International Conference

    Min-Chul Kong, Myung-Il Roh, In-Chang Yeo, In-Su Han, Dongki Min, Dongguen Jeong, "Methods for Graph Conversion and Pattern Recognition for P&IDs", Proceedings of IMDC 2024, Amsterdam, Netherland, 2024.06.02-06

  8. No Image 23Oct
    by SyDLab
    in International Conference

    Yeong-min Jo, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Do-Hyun Chun, Min-chul Kong, "An Improved Method for the Sensor Fusion for Autonomous Ships", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20

  9. No Image 22Jan
    by SyDLab
    in International Conference

    In-Chang Yeo, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "A Method for Automatic Berthing of a Ship Using LIDAR", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20

  10. No Image 19Sep
    by SyDLab
    in International Conference

    Min-Chul Kong, Myung-Il Roh, Jisang Ha, Mijin Kim, Jeoungyoun Kim, "A Method for the Generation of Optimal Patterns for Equipment Unit Modules in the Engine Room", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20

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