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Roadmap to semi-automatic generation of digital twins for brownfield process plants
Aalto University, P.O. Box 15500, FI-00076 AALTO, Finland.
Aalto University, P.O. Box 15500, FI-00076 AALTO, Finland.
VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, FI-02044 VTT, Finland.
VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, FI-02044 VTT, Finland.
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2022 (English)In: Journal of Industrial Information Integration, ISSN 2467-964X, E-ISSN 2452-414X, Vol. 27, article id 100282Article in journal (Refereed) Published
Abstract [en]

Industrial process plants have a lifecycle of several decades, and only some of the most modern plants have digital, machine-readable design information available. For all other plants, the information is often available in PDF and other human-readable formats. Based on this information, a digital twin could be constructed only with considerable human effort. There is a need for a methodology for the semi-automatic generation of digital twins for brownfields with such source information. The objective of this paper is to propose a roadmap towards a methodology for the semi-automatic generation of digital twins for brownfields with such source information as can be expected to be available for brownfields. The purpose of the roadmap is to: conceptualize the methodology, position relevant previous work along this methodology and identify further research challenges to develop the industrial applicability of the methodology. It was discovered that numerous relevant works exist, some of which do not specifically address brownfields. However, there is a lack of research to integrate such research to a methodology for the generation of digital twins.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 27, article id 100282
Keywords [en]
Digitization, Industry4.0, Digital twin, Brownfield process plants, Automatic model generation, Simulation model
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-86956DOI: 10.1016/j.jii.2021.100282ISI: 000896072100004Scopus ID: 2-s2.0-85120701312OAI: oai:DiVA.org:ltu-86956DiVA, id: diva2:1590449
Note

Validerad;2022;Nivå 2;2022-06-02 (hanlid);

Forskningsfinansiär: Business Finland (4153/31/2019)

Available from: 2021-09-02 Created: 2021-09-02 Last updated: 2023-05-08Bibliographically approved

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Vyatkin, Valeriy

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