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

• Autor(a) principal: Leitão, Paulo
• Data de Publicação: 2010
• Outros Autores: Alves, Joel, Mendes, João M., Colombo, Armando W.
• Idioma: eng
• Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Texto Completo: http://hdl.handle.net/10198/2579
• topic: Service-oriented systems; Industrial automation; Petri nets; Energy efficiency

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 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.