A Case Study of Utilizing the SMT Solver for Deployment Optimization of an IEC 61499-based Application
2021 (English) In: 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), IEEE, 2021Conference paper, Published paper (Refereed)
Abstract [en]
The capabilities of dynamicity, flexibility and agile production are enablers to Smart Factory and Industry 4.0. One critical feature to achieve these capabilities is to achieve efficient deployment optimization for automation control applications. However, many factories have used control applications implemented using IEC 61131 rather than IEC 61499, even though IEC 61499 standard supports Smart Factory better than IEC 61131 standard with distribution and event-driven features. In this paper, we are studying a control application, named HotWaterTank, implemented via IEC 61499. This application can control a hot water tank via several buttons, such as inlet, outlet and heating buttons. Three steps are carried out to deployment optimization with this application that are 1) Flattening, 2) Penalty matrix calculation, and 3) SMT solver calculation. Finally, from the experimental results, we prove that the deployment formulas we proposed can help achieve deployment optimization results while reducing the execution time of the SMT solver. Besides, we also discuss the parameter-related impact on the execution time and optimization results. Our contribution is to investigate the possibilities and difficulties of introducing the SMT solver and containerization technology to the IEC 61499-based application denloyment optimization.
Place, publisher, year, edition, pages IEEE, 2021.
Series
Proceedings of the IEEE International Symposium on Industrial Electronic
Keywords [en]
IEC 61499, satisfiability modulo theories, deployment optimization, flexible deployment, containerization
National Category
Computer Sciences
Research subject Dependable Communication and Computation Systems
Identifiers URN: urn:nbn:se:ltu:diva-87781 DOI: 10.1109/ISIE45552.2021.9576459 ISI: 000779299900248 Scopus ID: 2-s2.0-85118807907 OAI: oai:DiVA.org:ltu-87781 DiVA, id: diva2:1608767
Conference 30th IEEE International Symposium on Industrial Electronics (ISIE), Kyoto, Japan, [ONLINE] 20-23 June, 2021
Note ISBN för värdpublikation: 978-1-7281-9023-5, 978-1-7281-9022-8, 978-1-7281-9024-2
2021-11-042021-11-042022-05-09 Bibliographically approved