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Generative AI Co-Pilot for Rapid Prototyping of IEC 61499 Control Applications
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A4 Artikkeli konferenssijulkaisussa
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en
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4
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2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024, IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Abstract
This work develops a concept of a natural language co-pilot for the creation of IEC 61499 applications to accelerate initial testing and development. The co-pilot addresses the challenge of generating the correct function blocks that can be opened in popular IEC 61499 IDEs. In our case study, we focus on the generation of the centralised controller that operates particular equipment to perform a defined process. In addition, we have developed a scheme for how the co-pilot will be integrated into the FBME IDE as an AI assistant in the next steps. In the discussion, we provide valuable information for future co-pilot developers on the possible problems they might face in this area and how to overcome them.
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Publisher Copyright: © 2024 IEEE. | openaire: EC/HE/101057083/EU//Zero-SWARM
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Ovsiannikova, P, Liakh, T, Jhunjhunwala, P & Vyatkin, V 2024, Generative AI Co-Pilot for Rapid Prototyping of IEC 61499 Control Applications. in T Facchinetti, A Cenedese, L L Bello, S Vitturi, T Sauter & F Tramarin (eds), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, IEEE, IEEE International Conference on Emerging Technologies and Factory Automation, Padova, Italy, 10/09/2024. https://doi.org/10.1109/ETFA61755.2024.10711156