Methods for Graph Conversion and Pattern Recognition for P&IDs

Authors

  • Min-Chul Kong Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, Republic of Korea https://orcid.org/0000-0002-0976-2621
  • Myung-Il Roh Department of Naval Architecture and Ocean Engineering, and Research Institute of Marine Systems Engineering, Seoul National University https://orcid.org/0000-0001-7972-6848
  • In-Chang Yeo Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, Republic of Korea https://orcid.org/0000-0003-3940-2093
  • In-Su Han Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, Republic of Korea https://orcid.org/0009-0009-0014-6978
  • Dongki Min HD Korea Shipbuilding & Offshore Engineering Co., Ltd., Seongnam, Republic of Korea
  • Dongguen Jeong HD Korea Shipbuilding & Offshore Engineering Co., Ltd., Seongnam, Republic of Korea

DOI:

https://doi.org/10.59490/imdc.2024.876

Keywords:

P&ID, Pattern Recognition, Deep Learning, Arrangement Design, Connection relationships Analysis

Abstract

In this study, we developed a method to simplify the analysis of complex Piping and Instrumentation Diagrams (P&IDs) on ships. By converting P&IDs into a graph format, we extracted lines and symbols from the original DXF files, enabling easier identification of connections between ship systems. Utilizing the graph, we can intuitively understand complex P&ID and easily apply it to research such as pipe routing optimization. This approach enhances the understanding of ship systems and has potential applications in recommending similar systems within existing ships, streamlining the design and analysis process.

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Published

2024-05-23

How to Cite

Kong, M.-C., Roh, M.-I., Yeo, I.-C., Han, I.-S., Min, D., & Jeong, D. (2024). Methods for Graph Conversion and Pattern Recognition for P&IDs. International Marine Design Conference. https://doi.org/10.59490/imdc.2024.876

Conference Proceedings Volume

2024: International Marine Design Conference

Section

Conference papers

Categories

License

Copyright (c) 2024 Min-Chul Kong, Myung-Il Roh, In-Chang Yeo, In-Su Han, Dongki Min, Dongguen Jeong

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.