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L.A, Z., & L.A., D. (2020). Hardware and Software Infrastructure of Digital Twin Technology. KnE Engineering, 5(3), 29–35. https://doi.org/10.18502/keg.v5i3.6754

https://doi.org/10.18502/keg.v5i3.6754

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authors

  • Zakharov L.A

    Zakharov L.A

    Ural Federal University named after the first Russian President B.N. Yeltsin, Russia, 620002, Ekaterinburg, street Mira, 19
  • Derksen L.A.

    Derksen L.A.

    Ural Federal University named after the first Russian President B.N. Yeltsin, Russia, 620002, Ekaterinburg, street Mira, 19

Published Date

  • Apr 8, 2020

Hardware and Software Infrastructure of Digital Twin Technology

KnE Engineering / III Annual International Conference "System Engineering" / Pages 29–35

Abstract

This article describes of hardware and software infrastructure that provides the implementation of digital double technology. The basic approaches to determining the technologies that make up the infrastructure for the implementation of the digital twin, as well as the benefits of implementing this technology are considered. The need for processing and storing big data, as well as the benefits of implementing this technology, is substantiated.


Keywords: digital twin, digital model, big data, product lifecycle, cyber-physical system, automation, machine learning, smart maintenance.

References
[1] Tao, F., Zhang, M. & Nee, A. Y. C. Digital Twin Driven Smart Manufacturing (Academic Press, 2019).

[2] Grieves, M. and J. Vickers. (2016). Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems, in Trans-Disciplinary Perspectives on System Complexity, F. J. Kahlen, S. Flumerfelt, and A. Alves (eds.), Springer: Switzerland. pp. 85-114.

[3] Trancossi, M; Cannistraro, M, Pascoa, J. (2018). Can construct law and exergy analysis produce a robust design method that couples with industry 4.0 paradigms? The case of a container house. Mathematical Modelling of Engineering Problems. 5 (4): pp.303–312.

[4] Saddik, A. E. (2018) Digital Twins: The Convergence of Multimedia Technologies. IEEE MultiMedia. 25 (2): 87–92. doi:10.1109/MMUL.2018.023121167. ISSN 1070-986X

[5] Thilmany, J (September 21, 2017). Identical Twins. ASME. Retrieved September 10, 2019.