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Towards automatic state machine reconstruction from legacy PLC using data collection
ITMO University,Computer Technologies Laboratory,St. Petersburg,Russia.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-2936-4185
INSA Strasbourg,Strasbourg,France.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Computer Technologies Laboratory, ITMO University, St. Petersburg, Russia. Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.ORCID iD: 0000-0002-9315-9920
2019 (English)In: Proceedings: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), IEEE, 2019, p. 147-151Conference paper, Published paper (Other academic)
Abstract [en]

Today, more and more industries are considering moving towards being Industry 4.0 compliant. But this transition is not straightforward due to many reasons: in particular, transfer to new system can lead to significant production downtime and could result in delays and cost overruns. The best way is systematic seamless transition to newer and advanced technologies that Industry 4.0 offers. This paper proposes an automated synthesis framework that learns the behavior of existing legacy and often black-box programmable logic controllers and generates state machines that can be incorporated into IEC 61499 function blocks. The paper presents the toolchain architecture and exemplifies it on a laboratory scale Festo didactic mechatronic system.

Place, publisher, year, edition, pages
IEEE, 2019. p. 147-151
Series
IEEE International Conference on Industrial Informatics (INDIN), ISSN 1935-4576, E-ISSN 2378-363X
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-78677DOI: 10.1109/INDIN41052.2019.8972143ISI: 000529510400020Scopus ID: 2-s2.0-85079070400OAI: oai:DiVA.org:ltu-78677DiVA, id: diva2:1426562
Conference
2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 22-25 July, 2019, Helsinki, Finland
Note

ISBN för värdpublikation: 978-1-7281-2927-3, 978-1-7281-2928-0

Available from: 2020-04-27 Created: 2020-04-27 Last updated: 2021-10-15Bibliographically approved

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Patil, SandeepVyatkin, Valeriy

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