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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Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles
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