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Abstract The digital twin technology is one of the 4th industrial technology, and it has been developed together with other 4th industrial technology such as IoT (Internet of Things) and big data. The technology can be regarded as a set of technologies for managing a product or system, and it aims to operate target products or systems in real time by being merged with the IoT technology. If we create a virtual twin based on the physical twin, it is possible to obtain the simulation data from the virtual twin instead of using the physical twin. It helps for a designer to make better decisions by providing more information for his/her decision. In this study, we propose a digital twin framework which consists of six components; physical twin, virtual twin, big data, analyzer, security, and ICT (Information and Communication Technology). To evaluate the applicability of the proposed framework, we implement a ship navigation simulator. The result shows that the proposed framework can be used to implement effectively the digital twin technology in the field of naval architecture and ocean engineering.
Publication Date 2019-07-08

Jong-Hyeok Lee, Myung-Il Roh, Jin-Hyeok Kim, Sung-Jun Lee, Seung-Ho Ham, "Development of a Ship Navigation Simulator Based on Digital Twin Technology", Proceedings of ACDDE(Asian Conference on Design and Digital Engineering) 2019, Penang, Malaysia, pp. 245, 2019.07.07-10


  1. No Image 31Jan
    by SyDLab
    in International Conference

    Ki-Su Kim, Myung-Il Roh, "Optimization of the Arrangement Design of a Ship Considering the Multiple Performance", Proceedings of ACSMO 2020, Seoul, Korea, pp. 167, 2020.11.23-25

  2. No Image 31Jan
    by SyDLab
    in International Conference

    Jisang Ha, Myung-Il Roh, Hye-Won Lee, Jong-Ho Eun, Jong-Jin Park, Hyun-Joe Kim, "A Method of the Collision Avoidance of a Ship Using Real-time AIS Data", Proceedings of ACSMO 2020, Seoul, Korea, pp. 106, 2020.11.23-25

  3. No Image 03Aug
    by SyDLab
    in International Conference

    Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Method for the Accurate and Automatic Operation of Offshore Floating Cranes for the Block Erection in Shipyards", Proceedings of OMAE 2020, Held in Virtual Conference, 2020.08.03-07

  4. No Image 21Oct
    by SyDLab
    in International Conference

    Jisang Ha, Myung-Il Roh, Jong-Hyeok Lee, Jin-Hyeok Kim, Min-Chul Kong, Seung-Ho Ham, "Integrated Ship Remote Operating System Based on Digital Twin Technology", Proceedings of TEAM 2019, Tainan, Taiwan, pp. 106, 2019.10.14-17

  5. No Image 06Aug
    by SyDLab
    in International Conference

    Luman Zhao, Myung-Il Roh, Hye-Won Lee, Do-Hyun Chun, Sung-Jun Lee, "A Collision Avoidance Method of Multi-ships Based on Deep Reinforcement Learning Considering COLREGs," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 85-88, 2019.09.24-26

  6. No Image 23May
    by SyDLab
    in International Conference

    Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, Youngsoo Seok, Won-Jae Lee, June-Beom Lee, Hyun Soo Kim, "Image-based Object Detection and Tracking Method for Ship Navigation," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 89-92, 2019.09.24-26

  7. No Image 11Apr
    by SyDLab
    in International Conference

    Ki-Su Kim, Myung-Il Roh, "Optimal Arrangement Method of a Ship Considering the Performance against Flooding", Proceedings of PRADS 2019, Yokohama, Japan, 2019.09.22-26

  8. No Image 11Apr
    by SyDLab
    in International Conference

    Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, Do-Hyun Chun, "Controller Design of a Gantry Crane for the Safe Erection of Blocks in Shipyards", Proceedings of PRADS 2019, Yokohama, Japan, 2019.09.22-26

  9. No Image 11Apr
    by SyDLab
    in International Conference

    Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Control of the Underactuated Gantry Crane for the Block Erection Operation in the Shipyard", MIM 2019, Berlin, Germany, 2019.08.28-30

  10. No Image 03Jul
    by SyDLab
    in International Conference

    Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Crane Movement Control for Stability of Block Erection Based on Deep Reinforcement Learning", MIM 2019, Berlin, Germany, 2019.08.28-30

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