Agente Inteligente Embarcado baseado em Sistemas Ciberfísicos no contexto da Indústria 4.0
Resumo
A Indústria 4.0 está promovendo uma nova Revolução Industrial através da aplicação de tecnologias computacionais e de comunicação. Sistemas Ciberfísicos (CPS) podem ser considerados como componente chave para o desenvolvimento desta nova revolução. A constituição do CPS requer a combinação de diversas metodologias e tecnologias, muitas delas emergentes. Neste contexto, a teoria de agentes inteligentes e sistemas multiagentes podem trazer diversos benefícios como descentralização do controle, modularidade, etc. Este artigo tem como objetivo propor uma arquitetura para agentes inteligentes embarcados, baseado na arquitetura CPS 5C, para compor um CPS no ambiente industrial.Referências
Barbosa, J., Leitão, P., Trentesaux, D., Colombo, A. W., and Karnouskos, S. (2016). Cross benefits from cyber-physical systems and intelligent products for future smart industries. In Industrial Informatics (INDIN), 2016 IEEE 14th International Conference on, pages 504–509. IEEE.
Da Xu, L., He, W., and Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on industrial informatics, 10(4):2233–2243.
GO0DMAN. Agent Oriented Zero Defect Multi-Stage Manufacturing. [link]. Acessado 2 de Fevereiro, 2018.
Hermann, M., Pentek, T., and Otto, B. (2016). Design principles for industrie 4.0 scenarios. In System Sciences (HICSS), 2016 49th Hawaii International Conference on, pages 3928–3937. IEEE.
IDEAS. Instantly Deployable Evolvable Assembly Systems. [link]. Acessado 2 de Fevereiro, 2018.
Jazdi, N. (2014). Cyber physical systems in the context of industry 4.0. In Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on, pages 1–4. IEEE.
Kagermann, H., Helbig, J., Hellinger, A., and Wahlster, W. (2013). Recommendations for Implementing the strategic initiative INDUSTRIE 4.0: securing the future of German manufacturing industry; final report of the Industrie 4.0 working group. Forschungsunion.
Lee, J., Bagheri, B., and Kao, H.-A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3:18–23.
Leitão, P., Colombo, A. W., and Karnouskos, S. (2016). Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges. Computers in Industry, 81:11–25.
Leitao, P., Karnouskos, S., Ribeiro, L., Lee, J., Strasser, T., and Colombo, A. W. (2016). Smart agents in industrial cyber–physical systems. Proceedings of the IEEE, 104(5):1086–1101.
Leitão, P., Rodrigues, N., Turrin, C., Pagani, A., and Petrali, P. (2012). Grace ontology integrating process and quality control. In IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, pages 4348–4353. IEEE.
MTConnect. MTConnect Institute. [link]. Acessado 13 de Agosto, 2017.
Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., de Amicis, R., Pinto, E. B., Eisert, P., Döllner, J., and Vallarino, I. (2015). Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE computer graphics and applications, 35(2):26–40.
Rodrigues, L. F., de Jesus, R. A., and Schützer, K. (2016). Industrie 4.0: Uma revisão da literatura. Revista de Ciência & Tecnologia, 19(38):33–45.
Self-Learning. Reliable Self-Learning Production Systems Based on Context Aware Services. [link]. Acessado 2 de Fevereiro, 2018.
Shrouf, F., Ordieres, J., and Miragliotta, G. (2014). Smart factories in industry 4.0: A review of the concept and of energy management approached in production based on the internet of things paradigm. In Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on, pages 697–701. IEEE.
Vogel-Heuser, B., Diedrich, C., Pantförder, D., and Göhner, P. (2014). Coupling heterogeneous production systems by a multi-agent based cyber-physical production system. In Industrial Informatics (INDIN), 2014 12th IEEE International Conference on, pages 713–719. IEEE.
Zhou, K., Liu, T., and Zhou, L. (2015). Industry 4.0: Towards future industrial opportunities and challenges. In Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on, pages 2147–2152. IEEE.
Da Xu, L., He, W., and Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on industrial informatics, 10(4):2233–2243.
GO0DMAN. Agent Oriented Zero Defect Multi-Stage Manufacturing. [link]. Acessado 2 de Fevereiro, 2018.
Hermann, M., Pentek, T., and Otto, B. (2016). Design principles for industrie 4.0 scenarios. In System Sciences (HICSS), 2016 49th Hawaii International Conference on, pages 3928–3937. IEEE.
IDEAS. Instantly Deployable Evolvable Assembly Systems. [link]. Acessado 2 de Fevereiro, 2018.
Jazdi, N. (2014). Cyber physical systems in the context of industry 4.0. In Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on, pages 1–4. IEEE.
Kagermann, H., Helbig, J., Hellinger, A., and Wahlster, W. (2013). Recommendations for Implementing the strategic initiative INDUSTRIE 4.0: securing the future of German manufacturing industry; final report of the Industrie 4.0 working group. Forschungsunion.
Lee, J., Bagheri, B., and Kao, H.-A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3:18–23.
Leitão, P., Colombo, A. W., and Karnouskos, S. (2016). Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges. Computers in Industry, 81:11–25.
Leitao, P., Karnouskos, S., Ribeiro, L., Lee, J., Strasser, T., and Colombo, A. W. (2016). Smart agents in industrial cyber–physical systems. Proceedings of the IEEE, 104(5):1086–1101.
Leitão, P., Rodrigues, N., Turrin, C., Pagani, A., and Petrali, P. (2012). Grace ontology integrating process and quality control. In IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, pages 4348–4353. IEEE.
MTConnect. MTConnect Institute. [link]. Acessado 13 de Agosto, 2017.
Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., de Amicis, R., Pinto, E. B., Eisert, P., Döllner, J., and Vallarino, I. (2015). Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE computer graphics and applications, 35(2):26–40.
Rodrigues, L. F., de Jesus, R. A., and Schützer, K. (2016). Industrie 4.0: Uma revisão da literatura. Revista de Ciência & Tecnologia, 19(38):33–45.
Self-Learning. Reliable Self-Learning Production Systems Based on Context Aware Services. [link]. Acessado 2 de Fevereiro, 2018.
Shrouf, F., Ordieres, J., and Miragliotta, G. (2014). Smart factories in industry 4.0: A review of the concept and of energy management approached in production based on the internet of things paradigm. In Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on, pages 697–701. IEEE.
Vogel-Heuser, B., Diedrich, C., Pantförder, D., and Göhner, P. (2014). Coupling heterogeneous production systems by a multi-agent based cyber-physical production system. In Industrial Informatics (INDIN), 2014 12th IEEE International Conference on, pages 713–719. IEEE.
Zhou, K., Liu, T., and Zhou, L. (2015). Industry 4.0: Towards future industrial opportunities and challenges. In Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on, pages 2147–2152. IEEE.
Publicado
02/05/2018
Como Citar
MACIEL, Braian Konzgen; MARQUES JUNIOR, Mario Ricardo Nascimento; BALOTA, Gabriel Machado; GONÇALVES, Eder Mateus Nunes.
Agente Inteligente Embarcado baseado em Sistemas Ciberfísicos no contexto da Indústria 4.0. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 12. , 2018, Fortaleza/CE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 85-96.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2018.33257.
