Publication:
Orchestration of services in modular process plants

cris.customurl 14931
cris.virtual.department Automatisierungstechnik
cris.virtual.department Automatisierungstechnik
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cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
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dc.contributor.author Bloch, Claus Henry
dc.contributor.author Grebner, Tobias
dc.contributor.author Fay, Alexander
dc.contributor.author Hensel, Stephan
dc.contributor.author Menschner, Anna
dc.contributor.author Urbas, Leon
dc.contributor.author Hoernicke, Mario
dc.contributor.author Knohl, Torsten
dc.contributor.author Bernshausen, Jens
dc.date.issued 2018-12-26
dc.description.abstract Modularization of process plants is seen as one approach to face the increasing flexibility requirements in the process industry. Therefore, modules are combined to a modular process plant to achieve a higher flexibility of the production. Conventional distributed control systems do not support flexible production systems adequately. Hence, modules should encapsulate process functions as services. The services should be invoked and controlled by state-based control. This contribution presents an approach for the state-based control of services, following a defined state-model. The approach has been tested in two case studies and two different implementations: In a simulation environment based on Matlab Simulink Stateflow, and in an industrial implementation of a pump and a controller. This contribution provides an overview of the developed concepts and their capability for the use in industrial environments.
dc.description.version NA
dc.identifier.doi 10.1109/IECON.2018.8591300
dc.identifier.isbn 9781509066841
dc.identifier.scopus 2-s2.0-85061557472
dc.identifier.uri https://openhsu.ub.hsu-hh.de/handle/10.24405/14931
dc.language.iso en
dc.publisher IEEE
dc.relation.conference IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 21.-23. October, Washington, DC, USA
dc.relation.orgunit Automatisierungstechnik
dc.rights.accessRights metadata only access
dc.subject Modular Process Plants
dc.subject Process Control
dc.subject Simulation
dc.subject State Models
dc.title Orchestration of services in modular process plants
dc.type Conference paper
dcterms.bibliographicCitation.booktitle Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
dcterms.bibliographicCitation.originalpublisherplace Piscataway
dspace.entity.type Publication
hsu.peerReviewed
hsu.uniBibliography
oaire.citation.endPage 2940
oaire.citation.startPage 2935
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