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Implementation of a Bi-Directional Digital Twin for Industry 4 Labs in Academia: A Solution Based on OPC UA

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dc.contributor.authorProtic, A.
dc.contributor.authorJin, Z.
dc.contributor.authorMarian, R.
dc.contributor.authorAbd, K.
dc.contributor.authorCampbell, D.
dc.contributor.authorChahl, J.
dc.contributor.conferenceIEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (14 Dec 2020 - 17 Dec 2020 : ELECTR NETWORK)
dc.date.issued2020
dc.description.abstractWith the increased demands of smarter manufacturing approaches around the world, the process of industrial digital transformation is being pushed in and by both industry and academia. Learning factories and testing laboratories have been developed for decades for teaching and training purposes in Academia. Nowadays, as the future trend in industry, Industry 4 is being merged into the latest development of learning factories and testing laboratories. This paper presents the development and implementation of a bi-directional digital twin application in an Industry 4 testing laboratory at University of South Australia. The solution is based on the establishment of OPC UA connection between two cobots of different brands, the use of NX Siemens as a CAD simulation platform and a SCADA system from Inductive Automation. Due to differences between system interfaces, communication between different modules was challenging. Python OPC UA servers were developed. The digital twin replicates the physical system and is driven by inputs from the assembly cell.
dc.identifier.citationIEEE International Conference on Industrial Engineering and Engineering Management, 2020, vol.2020-December, pp.979-983
dc.identifier.doi10.1109/IEEM45057.2020.9309953
dc.identifier.isbn9781538672204
dc.identifier.issn2157-3611
dc.identifier.issn2157-362X
dc.identifier.orcidJin, Z. [0000-0001-5284-9629]
dc.identifier.urihttps://hdl.handle.net/11541.2/146364
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUS
dc.relation.ispartofseriesInternational Conference on Industrial Engineering and Engineering Management IEEM
dc.rightsCopyright 2020 IEEE
dc.source.urihttps://doi.org/10.1109/ieem45057.2020.9309953
dc.subjectI4 laboratories
dc.subjectbi-directional digital twin implementation
dc.subjectSCADA
dc.subjectpython
dc.subjectOPC UA
dc.titleImplementation of a Bi-Directional Digital Twin for Industry 4 Labs in Academia: A Solution Based on OPC UA
dc.typeConference paper
pubs.publication-statusPublished
ror.fileinfo12239247990001831 13239247980001831 CS 'Implementation of a bi-directional
ror.mmsid9916484009201831

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