Methods for Graph Conversion and Pattern Recognition for P&IDs

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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

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