Decision support system for Petri nets enabled automation components

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

João Pinto (Autor) Outra; J. Marco Mendes (Autor) FEUP; Paulo Leitão (Autor) Outra; Armando W. Colombo (Autor) Outra; Axel Bepperling (Autor) Outra; Francisco Restivo (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of the 7th IEEE International Conference on Industrial Informatics

Páginas: 289-294

INDIN 2009 - 7th IEEE International Conference on Industrial Informatics

Cardiff, UK, 24 a 26 de Junho de 2009

Indexação

ISI Web of Knowledge - 2 Citações

ISI Web of Science

Scopus - 2 Citações

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de controlo

Outras Informações

ID Authenticus: P-005-5XA

Abstract (EN): The expected behavior of industrial automation systems can be defined and modeled, but since not every event is predicted at design time, additional care has to be taken during the operation to handle situations such as exceptions, failures and new production orders. Another remark is also the limitation of modeling languages used in the control to permit the intervention of higher grade decision mechanisms. This paper discusses the application of decision support system for Petri net based processes to control automation components and devices. The decision mechanisms are used for path planning, production scheduling and preventive maintenance, to support the description of processes in Petri nets formalism. As such, the same Petri nets designed for the control are also used as analytical information input to the decision support system and for the detection process options that require decision. The solution provides a dynamic complement to the static modeling and operational flexibility. Experiments were done in a real service-oriented industrial factory-cell to prove the specified approach.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6