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IEC 61499 Based Model-Driven Process Control Engineering
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2014 (English)In: Proceedings of 2014 IEEE 19th International Conference on Emerging Technologies & Factory Automation (ETFA 2014): Barcelona, Spain, 16-19 Sept. 2014, Piscataway, NJ: IEEE Communications Society, 2014, 1-8 p., 7005088Conference paper, Published paper (Refereed)
Abstract [en]

In process control engineering, most requirements for the control system are conventionally specified in piping and instrumentation diagrams (P&IDs). The process design and control requests captured in P&IDs are manually interpreted and then implemented in process automation software. This manual develop-ment highly relies on multi-disciplinary expertise and becomes laborious and error-prone for complex systems. This paper reports a study on applying model-driven approach to facilitate the engineering workflow from P&IDs to control software. The foundations of this work are the IEC 62424 standard, which bridges the gap of information exchange between process design and control engineering, and the IEC 61499 standard, which provides the distributed control architecture for process measurement and automation. The model transformation pathway from IEC 62424 P&ID to IEC 61499 application has been formally defined and then demonstrated on a case-study water heating system for a three-floor building.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. 1-8 p., 7005088
Series
IEEE Emerging Technology and Factory Automation (ETFA)
National Category
Computer Science
Research subject
Dependable Communication and Computation Systems; Intelligent industrial processes (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-35786DOI: 10.1109/ETFA.2014.7005088ISI: 000360999100039Local ID: a7552295-bd42-400b-806d-efff4f4e0cd2ISBN: 978-1-4799-4845-1 (print)OAI: oai:DiVA.org:ltu-35786DiVA: diva2:1009040
Conference
International Conference on Emerging Technologies & Factory Automation : 16/09/2014 - 19/09/2014
Note

Validerad; 2015; Nivå 1; 20140615 (chepan)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Pang, ChengVyatkin, ValeriyDai, William
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