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Digital twin experiments focusing virtualisation, connectivity and real-time monitoring

2020Conference paper Open access
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dc.contributor.authorPires, Flávia
dc.contributor.authorMelo, Victória
dc.contributor.authorAlmeida, João
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2022-01-12T15:20:25Z
dc.date.available2022-01-12T15:20:25Z
dc.date.issued2020
dc.description.abstractIndustry 4.0 is re-shaping the manufacturing world, and amongst the several associated emerging methods and technologies, Digital Twin is becoming a popular approach both in industry and academia. However, the lack of knowledge about the characteristics, functionalities, best practices and benefits that it can provide, especially for small and medium enterprises, constraints its wider adoption. The use of real applications and demonstrators can contribute to exposing stakeholders to these new and innovative technologies and approaches, showing the applicability of Digital Twins. This paper presents several experiments in implementing Digital Twin for automation scenarios, considering different technologies and functionalities, namely in terms of virtualisation, connectivity and monitoring. Lessons learnt and challenges are also provided as a result of the experimental implementations.pt_PT
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope UIDB/05757/2020. The author Flávia Pires thanks the Fundação para a Ciência e Tecnologia (FCT), Portugal for the Ph.D. Grant SFRH/BD/143243/2019.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPires, Flavia; Melo, Victoria; Almeida, João; Leitão, Paulo (2020). Digital twin experiments focusing virtualisation, connectivity and real-time monitoring. In 3rd IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020. p. 309-314. ISBN 978-1-7281-6389-5pt_PT
dc.identifier.doi10.1109/ICPS48405.2020.9274739pt_PT
dc.identifier.isbn978-1-7281-6389-5
dc.identifier.urihttp://hdl.handle.net/10198/24589
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAn Intelligent Decision Support Approach for Industrial Digital Twin
dc.subjectDigital twinpt_PT
dc.subjectVirtualisationpt_PT
dc.subjectConnectivitypt_PT
dc.subjectMonitoringpt_PT
dc.titleDigital twin experiments focusing virtualisation, connectivity and real-time monitoringpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAn Intelligent Decision Support Approach for Industrial Digital Twin
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F143243%2F2019/PT
oaire.citation.endPage314pt_PT
oaire.citation.startPage309pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamPOR_NORTE
person.familyNamePires
person.familyNameMelo
person.familyNameLeitão
person.givenNameFlávia
person.givenNameVictória
person.givenNamePaulo
person.identifierhttps://scholar.google.pt/citations?user=an9quSsAAAAJ&hl=pt-PT
person.identifierhttps://scholar.google.com/citations?user=2JvgMH4AAAAJ&hl=pt-PT
person.identifierA-8390-2011
person.identifier.ciencia-idA119-72AB-6255
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person.identifier.ciencia-id8316-8F13-DA71
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person.identifier.orcid0000-0003-0025-8055
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id57200412919
person.identifier.scopus-author-id57216635456
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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
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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