Internet of Things Ontology for Digital Twin in Cyber Physical Systems.
Resumo
The Digital Twin is one of the most important concepts in the Cyber Physical Systems (CPS) era. It can bring benefits such as simulation, monitoring or management once it joins the physical and the virtual through the Internet of Things. This concept is being adopted more and more in the academia and in the industry, but there is still a lack of methods to define and formalize the representation of the Digital Twin, as for example semantic models. Ontologies are a way of representing knowledge that can be shared between different entities, allowing a common understanding about a information. In this sense, this work proposes an ontology to represent Digital Twin in the context of CPS and embedded systems. These concepts are implemented through a proposed architecture. The proposed ideas are being evaluated with industrial case studies and some of the preliminary results are described in the paper.
Referências
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C. Steinmetz, G. Schroeder, A. dos Santos Roque, C. E. Pereira, C. Wagner, P. Saalmann, and B. Hellingrath, “Ontology-driven iot code generation for fiware,” in Industrial Informatics (INDIN), 2017 IEEE 15th International Conference on. IEEE, 2017, pp. 38–43.
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M. Ganzha, M. Paprzycki, W. Pawłowski, P. Szmeja, and K. Wasielewska, “Semantic interoperability in the internet of things: an overview from the inter-iot perspective,” Journal of Network and Computer Applications, vol. 81, pp. 111–124, 2017.
S. Mayer, J. Hodges, D. Yu, M. Kritzler, and F. Michahelles, “An open semantic framework for the industrial internet of things,” IEEE Intelligent Systems, vol. 32, no. 1, pp. 96–101, 2017.
M. Bermudez-Edo, T. Elsaleh, P. Barnaghi, and K. Taylor, “IoT- Lite: a lightweight semantic model for the internet of things,” in Ubiquitous Intelligence & Computing, Advanced and Trusted Com- puting, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016 Intl IEEE Confer-
ences. IEEE, 2016, pp. 90–97.
M. Compton, P. Barnaghi, L. Bermudez, R. Garc ́ıA-Castro, O. Corcho, S. Cox, J. Graybeal, M. Hauswirth, C. Henson, A. Herzog et al., “The SSN ontology of the W3C semantic sensor network incubator group,” Web semantics: science, services and agents on the World Wide Web, vol. 17, pp. 25–32, 2012.
S. Wang, J. Wan, D. Li, and C. Zhang, “Implementing smart factory of industrie 4.0: an outlook,” International Journal of Distributed Sensor Networks, vol. 12, no. 1, p. 3159805, 2016.
I. . W. Group et al., “Securing the future of german manufacturing industry: Recommendations for implementing the strategic initiative industrie 4.0,” Federal Ministry of Education and Research of German, 2013.
D. Zuehlke, “Smart factory towards a factory-of-things,” Annual Reviews in Control, vol. 34, no. 1, pp. 129–138, 2010.
E. A. Lee, “Cyber physical systems: Design challenges,” in 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), May 2008, pp. 363–369.
M. Grieves, “Digital twin: Manufacturing excellence through virtual factory replication,” URL http://www. apriso. com, 2014.
G. Schroeder, C. Steinmetz, C.E. Pereira, I. Muller, N. Garcia, D. Espindola, and R. Rodrigues, “Visualising the digital twin using web services and augmented reality,” in Industrial Informatics (INDIN), 2016 IEEE 14th International Conference on. IEEE, 2016, pp. 522–527.
L. Atzori, A. Iera, and G. Morabito, “The Internet of things: A survey,” Computer networks, vol. 54, no. 15, pp. 2787–2805, 2010.
I. Ungurean, N.-C. Gaitan, and V. G. Gaitan, “An iot architecture for things from industrial environment,” in Communications (COMM), 2014 10th International Conference on. IEEE, 2014, pp. 1–4.
U. Eliasson, R. Heldal, P. Pelliccione, and J. Lantz, “Architecting in the automotive domain: Descriptive vs prescriptive architecture,” in 12th Working IEEE/IFIP Conference on Software Architecture, WICSA 2015, Montreal, QC, Canada, May 4-8, 2015, 2015, pp. 115–118.
L. Atzori, A. Iera, and G. Morabito, “Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm,” Ad Hoc Networks, vol. 56, pp. 122–140, 2017.
G. N. Schroeder, C. Steinmetz, C. E. Pereira, and D. B. Espindola, “Digital twin data modeling with automationml and a communication methodology for data exchange,” IFAC-PapersOnLine, vol. 49, no. 30, pp. 12–17, 2016.
K. M. Alam and A. El Saddik, “C2ps: A digital twin architecture reference model for the cloud-based cyber-physical systems,” IEEE Access, vol. 5, pp. 2050–2062, 2017.
M. Shafto, M. Conroy, R. Doyle, E. Glaessgen, C. Kemp, J. LeMoigne, and L. Wang, “Draft modeling, simulation, information technology & processing roadmap,” Technology Area, vol. 11, 2010.
——, “Modeling, simulation, information technology & processing roadmap,” National Aeronautics and Space Administration, 2012.
R. Rosen, G. von Wichert, G. Lo, and K. D. Bettenhausen, “About the importance of autonomy and digital twins for the future of manufacturing,” IFAC-Papers On Line, vol. 48, no. 3, pp. 567–572, 2015.
C. Steinmetz, G. Schroeder, A. dos Santos Roque, C. E. Pereira, C. Wagner, P. Saalmann, and B. Hellingrath, “Ontology-driven iot code generation for fiware,” in Industrial Informatics (INDIN), 2017 IEEE 15th International Conference on. IEEE, 2017, pp. 38–43.
S. Sierla, V. Kyrki, P. Aarnio, and V. Vyatkin, “Automatic assembly planning based on digital product descriptions,” Computers in Industry, vol. 97, pp. 34–46, 2018.
B. Chandrasekaran, J. R. Josephson, and V. R. Benjamins, “What are ontologies, and why do we need them?” IEEE Intelligent Systems and their applications, vol. 14, no. 1, pp. 20–26, 1999.
W. Borst and W. Borst, “Construction of engineering ontologies for knowledge sharing and reuse,” Ph.D. dissertation, University of Twente, Netherlands, 9 1997.
L. W. Lacy, OWL: Representing information using the web ontology language. Victoria BC, Canada: Trafford Publishing, 2005.
M. Abramovici, J. C. Go ̈bel, and H. B. Dang, “Semantic data management for the development and continuous reconfiguration of smart products and systems,” CIRP Annals-Manufacturing Technology, vol. 65, no. 1, pp. 185–188, 2016.
K. Yacout, V. Ebrahimipour, and S. Yacout, “Ontology based modeling of a complex real time system,” in IIE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE), 2014, p. 3361.
A. J. Trappey, C. V. Trappey, U. H. Govindarajan, A. C. Chuang, and J. J. Sun, “A review of essential standards and patent landscapes for the internet of things: A key enabler for industry 4.0,” Advanced Engineering Informatics, vol. 33, pp. 208–229, 2017.
M. Ganzha, M. Paprzycki, W. Pawłowski, P. Szmeja, and K. Wasielewska, “Semantic interoperability in the internet of things: an overview from the inter-iot perspective,” Journal of Network and Computer Applications, vol. 81, pp. 111–124, 2017.
S. Mayer, J. Hodges, D. Yu, M. Kritzler, and F. Michahelles, “An open semantic framework for the industrial internet of things,” IEEE Intelligent Systems, vol. 32, no. 1, pp. 96–101, 2017.
M. Bermudez-Edo, T. Elsaleh, P. Barnaghi, and K. Taylor, “IoT- Lite: a lightweight semantic model for the internet of things,” in Ubiquitous Intelligence & Computing, Advanced and Trusted Com- puting, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016 Intl IEEE Confer-
ences. IEEE, 2016, pp. 90–97.
M. Compton, P. Barnaghi, L. Bermudez, R. Garc ́ıA-Castro, O. Corcho, S. Cox, J. Graybeal, M. Hauswirth, C. Henson, A. Herzog et al., “The SSN ontology of the W3C semantic sensor network incubator group,” Web semantics: science, services and agents on the World Wide Web, vol. 17, pp. 25–32, 2012.
Publicado
06/11/2018
Como Citar
STEINMETZ, Charles; RETTBERG, Achim; PEREIRA, Carlos Eduardo; RIBEIRO, Fabíola Coelho; SCHROEDER, Greyce.
Internet of Things Ontology for Digital Twin in Cyber Physical Systems.. In: SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SISTEMAS COMPUTACIONAIS (SBESC), 8. , 2018, Salvador.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
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p. 38-43.
ISSN 2237-5430.
