Knowledge-based generation of a plant-specific reinforcement learning framework for energy reduction of production plants

Schmidl E, Fischer E, Wenk M, Franke J (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2020-September

Pages Range: 441-446

Conference Proceedings Title: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Event location: Vienna AT

ISBN: 9781728189567

DOI: 10.1109/ETFA46521.2020.9211957

Abstract

In research, there are more and more successful approaches to operate production plants more resource-efficiently and more productively with the help of reinforcement learning. An important point is the reduction of the energy demand of production plants. Instead of manually implementing complex standby strategies rigidly in a PLC, an intelligent system can train to derive decisions about the optimal energetic state of each component autonomously. Since learning in a virtual environment has decisive advantages, simulation models with sufficient accuracy are necessary. Many of the previous implementations of reinforcement learning approaches in an industrial environment are usually tailored to a specific plant. In particular, the agent's scope of action and its connection to the environment must be adapted manually for a new plant. The presented solution shows an intelligent system which automatically optimizes the virtual learning environment with the support of plant knowledge and adapts the reinforcement learning agent to the respective production plant.

Authors with CRIS profile

Eva Russwurm Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)

Additional Organisation(s)

Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)

Involved external institutions

Ostbayerische Technische Hochschule (OTH) Amberg-Weiden DE Germany (DE)

How to cite

APA:

Schmidl, E., Fischer, E., Wenk, M., & Franke, J. (2020). Knowledge-based generation of a plant-specific reinforcement learning framework for energy reduction of production plants. In IEEE International Conference on Emerging Technologies and Factory Automation, ETFA (pp. 441-446). Vienna, AT: Institute of Electrical and Electronics Engineers Inc..

MLA:

Schmidl, Elisabeth, et al. "Knowledge-based generation of a plant-specific reinforcement learning framework for energy reduction of production plants." Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020, Vienna Institute of Electrical and Electronics Engineers Inc., 2020. 441-446.

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