Energy aware knowledge extraction from Petri nets supporting decision-making in service-oriented automation

Paulo Leitao, Joel Alves, J. Marco Mendes, Armando W. Colombo
2010 2010 IEEE International Symposium on Industrial Electronics  
This paper introduces an approach to decision support systems in service-oriented automation control systems, which considers the knowledge extracted from the Petri nets models used to describe and execute the process behavior. Such solution optimizes the decision-making taking into account multi-criteria, namely productive parameters and also energy parameters. In fact, being manufacturing processes typically energy-intensive, this allows contributing for a clean and saving environment (i.e. a
more » ... better and efficient use of energy). The preliminary experimental results, using a real laboratorial case study, demonstrate the applicability of the knowledge extracted from the Petri nets models to support real-time decision-making systems in service-oriented automation systems, considering some energy efficiency criteria.
doi:10.1109/isie.2010.5637342 fatcat:2neslx43wfex5ovizvv6iddhqy