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Industrial Metaverse Digital Twin: ISO 23247 Compliant Architecture for AI-Driven Simulation

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorOliveira Júnior, Alexandre de
dc.contributor.authorCalvo-Rolle, José Luis
dc.contributor.authorPires, Rui
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2026-02-27T17:20:04Z
dc.date.available2026-02-27T17:20:04Z
dc.date.issued2025
dc.description.abstractThe Industrial Metaverse marks a new stage in Industry 4.0, raising the representation level of Digital Twins (DT) from discrete elements to an interconnected network of assets covering the entire production ecosystem. This paradigm changing reflects advances in enabling technologies such as Artificial Intelligence (AI) and complex what-if simulations. As complexity increases, adopting established industrial standards for implementing DT functionalities becomes imperative to specify guidelines for companies and researchers. This paper proposes a functional architecture for DT implementation in compliance with ISO 23247 standard, aiming to support the development of interoperable and standardized solutions combined within the Industrial Metaverse. The architecture was employed to develop a DT framework for an automotive assembly line, covering the quality inspection process and embedding AI-based mechanisms to leverage the what-if simulation of deviations in structural parameters of the vehicle's body. Experimental results demonstrate the tool's ability to accurately predict outputs for critical quality parameters according to hypothetical measurement scenarios, leveraging the production stakeholders' understanding regarding the correlated impact of deviations at different structural points, and demonstrating the versatility and potential of combining AI strategies for what-if simulations.eng
dc.description.sponsorshipThis work was partially supported by the HORIZONCL4-2021-TWIN-TRANSITION-01 openZDM project under Grant Agreement No. 101058673 and was also supported by national funds through FCT/MCTES (PIDDAC): CeDRI, UIDB/05757/2020 (DOI: 10.54499/UIDB/05757/2020) and UIDP/05757/2020 DOI: 10.54499/UIDP/05757/2020); and SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020). The author Alexandre O. Júnior thanks FCT, Portugal, for the PhD grant BD/03967/2023 (DOI: 10.54499/2023.03967.BD).
dc.identifier.citationOliveira Júnior, Alexandre de Calvo-Rolle, José Luis Pires, Rui Leitão, Paulo (2025). Industrial Metaverse Digital Twin: ISO 23247 Compliant Architecture for AI-Driven Simulation. In 8th International Conference on Industrial Cyber Physical Systems (ICPS). ISSN 2769-3902. p. 1-6
dc.identifier.doi10.1109/icps65515.2025.11087908
dc.identifier.issn2769-3902
dc.identifier.urihttp://hdl.handle.net/10198/35892
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relation.ispartof2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS)
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectIndustrial metaverse
dc.subjectArtificial intelligence
dc.subjectWhat-if Simulation
dc.subjectDigital twin
dc.subjectISO 23247
dc.subjectZero defect manufacturing
dc.titleIndustrial Metaverse Digital Twin: ISO 23247 Compliant Architecture for AI-Driven Simulationeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage6
oaire.citation.startPage1
oaire.citation.title8th International Conference on Industrial Cyber Physical Systems (ICPS)
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameOliveira Júnior
person.familyNameLeitão
person.givenNameAlexandre de
person.givenNamePaulo
person.identifierhttps://scholar.google.com/citations?user=WurUUUUAAAAJ&hl=pt-PT&oi=ao
person.identifierA-8390-2011
person.identifier.ciencia-id7311-463F-3FA3
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-7009-3965
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id57426745400
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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