Embedded Intelligent Agent Based on Cyber-Physical Systems in the Context of Industry 4.0

  • Braian Konzgen Maciel FURG
  • Mario Ricardo Nascimento Marques Junior FURG
  • Gabriel Machado Balota FURG
  • Eder Mateus Nunes Gonçalves FURG

Abstract


Industry 4.0 or advanced manufacturing is promoting a new Industrial Revolution by expanding the application of computing and communication technologies. Cyber Physical Systems can be considered the main component for the development of this new revolution. A CPS constitution requires a combination of several methodologies and technologies, many of which are emerging. In this context, the theory of intelligent agents and multi agent systems can bring several benefits such as decentralization of control, modularity, adaptation to the environment, etc. This article aims to present an architecture for intelligent agents, a network in the CPS 5C architecture, to compose a cyberphysical system in the industrial environment.

References

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.
Published
2018-05-02
MACIEL, Braian Konzgen; MARQUES JUNIOR, Mario Ricardo Nascimento; BALOTA, Gabriel Machado; GONÇALVES, Eder Mateus Nunes. Embedded Intelligent Agent Based on Cyber-Physical Systems in the Context of Industry 4.0. In: WORKSHOP-SCHOOL ON AGENTS, ENVIRONMENTS, AND APPLICATIONS (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.