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Analysing Interoperability in Digital Twin Software Architectures for Manufacturing
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0003-3683-8174
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8027-0611
Gran Sasso Science Institute, L’Aquila, Italy.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1687-930X
2023 (English)In: Lect. Notes Comput. Sci., Springer Science and Business Media Deutschland GmbH , 2023, p. 170-188Conference paper, Published paper (Refereed)
Abstract [en]

Digital twins involve the integration of advanced information technologies to create software replicas that control and monitor physical assets. Interoperability is an essential requirement in the engineering of digital twins. This paper is the first study analysing interoperability in digital twin software architectures in the manufacturing industry. We began with an initial set of 2403 peer-reviewed publications and after a screening process, we selected a final set of 21 primary studies. We identified the set of technologies used for data exchange and the level of interoperability achieved during such an exchange. We organised the results according to the ISO 23247 standard and the level of conceptual interoperability model.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2023. p. 170-188
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 14212 LNCS
Keywords [en]
Digital twin, Interoperability, ISO 23247, LCIM, Software Architecture, Electronic data interchange, Advanced informations, Conceptual interoperability, Control and monitor, Interoperability modeling, Manufacturing industries, Physical assets, Screening process
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-64434DOI: 10.1007/978-3-031-42592-9_12ISI: 001310754200012Scopus ID: 2-s2.0-85172123330ISBN: 9783031425912 (print)OAI: oai:DiVA.org:mdh-64434DiVA, id: diva2:1803366
Conference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Available from: 2023-10-09 Created: 2023-10-09 Last updated: 2024-10-30Bibliographically approved

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Ferko, EnxhiBucaioni, AlessioBehnam, Moris

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