Publication:
Process simulation on single-board computers

cris.customurl 14921
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtualsource.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department d27eae86-6d38-489c-b4c3-2eed27fb81cc
cris.virtualsource.department #PLACEHOLDER_PARENT_METADATA_VALUE#
dc.contributor.author Härle, Christian
dc.contributor.author Barth, Mike
dc.contributor.author Fay, Alexander
dc.date.issued 2018-12-04
dc.description.abstract Simulation is already an essential part for the engineering of automation systems. Upcoming use-cases like high-value optimization or new digital services in combination with predictive functionalities need simulation as part of the operating machine or plant. Current implementations use centralized cloud-based simulation architectures or integrate simulation workstations. This paper proposes a concept in combination with a prototypic implementation for the decentralized simulation of physical systems or processes in the field. The simulation models are executed on single-board computers (SBC) that are promising to form a new part of the machines automation systems. To evaluate the concept, state-of-the-art simulation benchmarks have been executed by the authors. The results show the positive capability of SBCs for real-time simulations within the machine.
dc.description.version NA
dc.identifier.doi 10.1109/COASE.2018.8560426
dc.identifier.isbn 9781538635933
dc.identifier.issn 2161-8070
dc.identifier.issn 2161-8089
dc.identifier.scopus 2-s2.0-85059978256
dc.identifier.uri https://openhsu.ub.hsu-hh.de/handle/10.24405/14921
dc.language.iso en
dc.publisher IEEE
dc.relation.conference IEEE 14th International Conference on Automation Science and Engineering (CASE), 20.-24.08.2018, Munic, Germany
dc.relation.orgunit Automatisierungstechnik
dc.rights.accessRights metadata only access
dc.title Process simulation on single-board computers
dc.type Conference paper
dcterms.bibliographicCitation.booktitle 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)
dcterms.bibliographicCitation.originalpublisherplace Piscataway
dspace.entity.type Publication
hsu.peerReviewed
hsu.uniBibliography
oaire.citation.endPage 1555
oaire.citation.startPage 1548
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