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Implementation of a Production-Control System Using Integrated Automation ML and OPC UA

Authors
Ye, X.Park, T.Y.Hong, S.H.Ding, Y.Xu, A.
Issue Date
Apr-2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
AutomationML; data exchange; information model; OPC UA; process-control system
Citation
2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings, pp.242 - 247
Indexed
SCOPUS
Journal Title
2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings
Start Page
242
End Page
247
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/6355
DOI
10.1109/METROI4.2018.8428310
ISSN
0000-0000
Abstract
In 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. © 2018 IEEE.
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