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dc.contributor.author홍승호-
dc.date.accessioned2019-05-23T02:16:51Z-
dc.date.available2019-05-23T02:16:51Z-
dc.date.issued2018-04-
dc.identifier.citation2018 Workshop on Metrology for Industry 4.0 and IoT, Page. 242-247en_US
dc.identifier.isbn978-1-5386-2497-5-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/8428310-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/105826-
dc.description.abstractIn the era of Industry 4.0, manufacturing systems must be well equipped with adaptable fabrication facilities and flexible production patterns to acquire “plug-and-produce” capabilities for future production lines. However, the conventional engineering mode is so obsolete and inefficient that modern intelligent production requirements cannot be met any more. In this study, the architecture for an industrial process-control system is proposed using integrated AutomationML and OPC UA technologies. A lab-level experimental system was implemented and the system was executed to verify that the proposed architecture is reasonable and feasible in terms of actual performance.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectprocess-control systemen_US
dc.subjectAutomationMLen_US
dc.subjectOPC UAen_US
dc.subjectdata exchangeen_US
dc.subjectinformation modelen_US
dc.titleImplementation of A Production-Control System using Integrated AutomationML and OPC UAen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/METROI4.2018.8428310-
dc.relation.page242-247-
dc.contributor.googleauthorYe, X.-
dc.contributor.googleauthorPark, T.Y.-
dc.contributor.googleauthorHong, S.H.-
dc.contributor.googleauthorDing, Y.-
dc.contributor.googleauthorXu, A.-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidshhong-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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