Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-10881
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dc.contributor.authorNasser, Jazdi-
dc.contributor.authorAshtari Talkhestani, Behrang-
dc.contributor.authorMaschler, Benjamin-
dc.contributor.authorWeyrich, Michael-
dc.date.accessioned2020-06-08T07:54:37Z-
dc.date.available2020-06-08T07:54:37Z-
dc.date.issued2020de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/10898-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-108980de
dc.identifier.urihttp://dx.doi.org/10.18419/opus-10881-
dc.description.abstractA requirement of future industrial automation systems is the application of intelligence in the context of their optimization, adaptation and reconfiguration. This paper begins with an introduction of the definition of (artificial) intelligence to derive a framework for artificial intelligence enhanced industrial automation systems: An artificial intelligence component is connected with the industrial automation system’s control unit and other entities through a series of standardized interfaces for data and information exchange. This framework is then put into context of the intelligent Digital Twin architecture, highlight the latter as a possible implementation of such systems. Concluding, a prototypical implementation on the basis of a modular cyber-physical production system is described. The intelligent Digital Twin realized this way provides the four fundamental sub-processes of intelligence, namely observation, analysis, reasoning and action. A detailed description of all technologies used is given.en
dc.language.isoende
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.ddc004de
dc.subject.ddc620de
dc.subject.ddc621.3de
dc.titleRealization of AI-enhanced industrial automation systems using intelligent Digital Twinsen
dc.typepreprintde
ubs.fakultaetInformatik, Elektrotechnik und Informationstechnikde
ubs.institutInstitut für Automatisierungstechnik und Softwaresystemede
ubs.publikation.noppnyesde
ubs.publikation.seiten5de
ubs.publikation.typPreprintde
Appears in Collections:05 Fakultät Informatik, Elektrotechnik und Informationstechnik

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