pyDEXPI: A Python framework for piping and instrumentation diagrams (P&IDs) using the DEXPI information model

Developing piping and instrumentation diagrams�(P&IDs) is a fundamental task in process engineering. For designing complex installations, such as petroleum plants, multiple departments across several companies are involved in refining and updating these diagrams, creating significant challenges in data exchange between different software platforms from various vendors. The primary challenge in this context is interoperability, which refers to the seamless exchange and interpretation of information to collectively pursue shared objectives. To enhance the P&ID creation process, a unified, machine-readable data format for P&ID data is essential. A promising candidate is the Data Exchange in the Process Industry�(DEXPI) standard. We present pyDEXPI, an open-source implementation of the DEXPI format for P&IDs in Python. pyDEXPI makes P&ID data more efficient to handle, more flexible, and more interoperable. We envision that, with further development, pyDEXPI will act as a central scientific computing library for the domain of digital process engineering, facilitating interoperability and the application of data analytics and generative artificial intelligence on P&IDs. We provide the pyDEXPI package with the documentation on GitHub at https://github.com/process-intelligence-research/pyDEXPI.

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Publication Details

Journal
Systems and Control Transactions
Published
2025-06-30
DOI
https://doi.org/10.69997/sct.139043
Citations
1
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
2.48

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article

pyDEXPI: A Python framework for piping and instrumentation diagrams (P&IDs) using the DEXPI information model

Dominik P. Goldstein, Artur M. Schweidtmann, Lukas Schulze Balhorn, Achmad Anggawirya Alimin
1 citations
Systems and Control Transactions
Computational Physics and Python Applications
2.48
article

pyDEXPI: A Python framework for piping and instrumentation diagrams (P&IDs) using the DEXPI information model

Dominik P. Goldstein, Artur M. Schweidtmann, Lukas Schulze Balhorn, Achmad Anggawirya Alimin
article en
1 citations

Abstract

Developing piping and instrumentation diagrams�(P&IDs) is a fundamental task in process engineering. For designing complex installations, such as petroleum plants, multiple departments across several companies are involved in refining and updating these diagrams, creating significant challenges in data exchange between different software platforms from various vendors. The primary challenge in this context is interoperability, which refers to the seamless exchange and interpretation of information to collectively pursue shared objectives. To enhance the P&ID creation process, a unified, machine-readable data format for P&ID data is essential. A promising candidate is the Data Exchange in the Process Industry�(DEXPI) standard. We present pyDEXPI, an open-source implementation of the DEXPI format for P&IDs in Python. pyDEXPI makes P&ID data more efficient to handle, more flexible, and more interoperable. We envision that, with further development, pyDEXPI will act as a central scientific computing library for the domain of digital process engineering, facilitating interoperability and the application of data analytics and generative artificial intelligence on P&IDs. We provide the pyDEXPI package with the documentation on GitHub at https://github.com/process-intelligence-research/pyDEXPI.

Systems and Control TransactionsVol. 4
Delft University of Technology (NL)
Siemens, Lembaga Pengelola Dana Pendidikan
Openalex Percentile: Top 10%
Computational Physics and Python Applications
2.48
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