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A methodology for g...
A methodology for generating a digital twin for process industry: a case study of a fiber processing pilot plant
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- Azangoo, Mohammad (författare)
- Department of Electrical Engineering and Automation, Aalto University, 00076 Helsinki, Finland
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- Sorsamäki, Lotta (författare)
- VTT Technical Research Center of Finland, 02044 Espoo, Finland
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- Sierla, Seppo (författare)
- Department of Electrical Engineering and Automation, Aalto University, 00076 Helsinki, Finland
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- Mätäsniemi, Teemu (författare)
- VTT Technical Research Center of Finland, 02044 Espoo, Finland
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- Rantala, Miia (författare)
- Semantum Oy, 02150 Espoo, Finland
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- Rainio, Kari (författare)
- VTT Technical Research Center of Finland, 02044 Espoo, Finland
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- Vyatkin, Valeriy (författare)
- Luleå tekniska universitet,Datavetenskap,Department of Electrical Engineering and Automation, Aalto University, 00076 Helsinki, Finland
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(creator_code:org_t)
- IEEE, 2022
- 2022
- Engelska.
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Ingår i: IEEE Access. - : IEEE. - 2169-3536. ; 10, s. 58787-58810
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Digital twins are now one of the top trends in Industry 4.0, and many companies are using them to increase their level of digitalization, and, as a result, their productivity and reliability. However, the development of digital twins is difficult, expensive, and time consuming. This article proposes a semi-automated methodology to generate digital twins for process plants by extracting process data from engineering documents using text and image processing techniques. The extracted information is used to build an intermediate graph model, which serves as a starting point for generating a model in a simulation software. The translation of a graph-based model into a simulation software environment necessitates the use of simulator-specific mapping rules. This paper describes an approach for generating a digital twin based on a steady state simulation model, using a Piping and Instrumentation Diagram (P&ID) as the main source of information. The steady state modeling paradigm is especially suitable for use cases involving retrofits for an operational process plant, also known as a brownfield plant. A methodology and toolchain is proposed, consisting of manual, semi-automated and fully automated steps. A pilot scale brownfield fiber processing plant was used as a case study to demonstrate our proposed methodology and toolchain, and to identify and address issues that may not occur in laboratory scale case studies. The article concludes with an evaluation of unresolved concerns and future research topics for the automated development of a digital twin for a brownfield process system.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- digital twin
- process industry
- modeling
- steady state simulation
- image recognition
- text recognition
- directed graph
- piping and instrumentation diagram
- flowsheet population
- Dependable Communication and Computation Systems
- Kommunikations- och beräkningssystem
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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