The use of digital twin systems in the construction of socio-cyber-physical systems

Authors

  • Alexander I. Vodyaho St. Petersburg Electrotechnical University, “LETI” named after V. I. Ulianov (Lenin), 5, ul. professora Popova, St. Petersburg, 197022, Russian Federation https://orcid.org/0000-0002-0933-0933
  • Nataly A. Zhukova St. Petersburg Federal Research center of the Russian Academy of Sciences, 39, 14-ya liniya V. O., St. Petersburg, 199178, Russian Federation https://orcid.org/0000-0001-5877-4461
  • Varvara Y. Ananeva St. Petersburg Electrotechnical University, “LETI” named after V. I. Ulianov (Lenin), 5, ul. professora Popova, St. Petersburg, 197022, Russian Federation https://orcid.org/0009-0000-2074-5438

DOI:

https://doi.org/10.21638/spbu10.2024.403

Abstract

The modern stage of technology development allows us to create anthropogenic systems that feature a fundamentally new level of complexity compared to existing systems, which for the most part are multilevel heterogeneous distributed systems, which include anthropogenic physical entities, virtual entities, natural objects, living beings, people and human collectives. Such systems can be defined as socio-cyber-physical systems. The article analyzes the current state of technology for building socio-cyber-physical systems, and considers the possibility of using digital twins in their construction. The possible aspects of using digital twin in the construction of this class of systems are considered. This article discusses one of the possible approaches to the construction of socio-cyber-physical systems based on the use of runtime digital twin systems built using a polymodel approach. The proposed approach can be considered as a convergence of several well-known approaches to the construction of sociocyber-physical systems. A reference architecture of the run-time digital twin is proposed, the basis of which is not a monolithic model, but a system of models. Typical models that can be used in the construction of socio-cyber-physical systems are analyzed. One of the key problems facing the developers of socio-cyber-physical systems is the construction of a human model.

Keywords:

socio-cyber-physical systems, digital twins, digital twin system, human digital twin

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References

Литература

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References

Van der Valk H., Möller F., Arbter M., Henning J. L., Otto B. A taxonomy of digital twins. Americas Conference on Information Systems, 2020, pp. 1–10.

Ricci A., Croatti A., Mariani S., Montagna S., Picone M. Web of digital twins. ACM Transactions on Internet Technology, 2022, vol. 22, no. 4, pp. 1–30. https://doi.org/10.1145/3507909

Zhihan Lv., Fersman E. Digital twins: Basics and applications. Cham, Springer International Publ., 2022, 99 p. https://doi.org/10.1007/978-3-031-11401-4

Auer M. E., Ram B. K. Cyber-physical systems and digital twins. Cham, Springer Nature Switzerland AG Publ., 2020, 862 p. https://doi.org/10.1007/978-3-030-23162-0

Vohra M. Digital twin technology: Fundamentals and applications. New York, John Wiley & Sons Publ., 2023, 272 p.

Thelen A., Zhang X., Fink O., Lu Y., Ghosh S., Youn B. D., Hu Z. A comprehensive review of digital twin. Pt 1: Modeling and twinning enabling technologies. Structural and Multidisciplinary Optimization, 2022, vol. 65, no. 12, p. 1–75.

Gräbler I., Maier G. W., Steffen E., Roesmann D. The digital twin of humans. Cham, Springer International Publ., 2023, vol. 10, 978 p.

Jamshidi M. System of systems engineering. New York, John Wiley & Sons Publ., 2009, 593 p.

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Bloomberg J. The agile architecture revolution: How cloud computing, rest-based SOA, and mobile computing are changing enterprise IT. New York, John Wiley & Sons Publ., 2013, 304 p.

HLA Working Group. IEEE 1516-2010 — IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA). Framework and Rules. New York, USA, IEEE Computer Society Publ., 2010, 38 p.

Mendling J., Reijers H. A., La Rosa M., Dumas M. Fundamentals of business process management. Berlin, GI-Jahrestagung Publ., 2013, 157 p.

Hewitt C. Actor model of computation: Scalable robust information systems. 2010. Available at: https://arxiv.org/pdf/1008.1459 (accessed: August 1, 2024).

Published

2024-12-30

How to Cite

Vodyaho, A. I., Zhukova, N. A., & Ananeva, V. Y. (2024). The use of digital twin systems in the construction of socio-cyber-physical systems. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 20(4), 467–478. https://doi.org/10.21638/spbu10.2024.403

Issue

Section

Computer Science