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Krasikov , I., & Kulemin, A. N. (2020). Analysis of Digital Twin Definition and Its Difference from Simulation Modelling in Practical Application. KnE Engineering, 5(3), 105–109. https://doi.org/10.18502/keg.v5i3.6766

https://doi.org/10.18502/keg.v5i3.6766

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authors

  • I.I. Krasikov

    I.I. Krasikov

    Ural Federal University named after the first President of Russia B. N. Yeltsin, Russia, 620002, Yekaterinburg, Mira street, 21.
  • A. N. Kulemin

    A. N. Kulemin

    Ural Federal University named after the first President of Russia B. N. Yeltsin, Russia, 620002, Yekaterinburg, Mira street, 21.

Published Date

  • Apr 8, 2020

Analysis of Digital Twin Definition and Its Difference from Simulation Modelling in Practical Application

KnE Engineering / III Annual International Conference "System Engineering" / Pages 105–109

Abstract

The digital twin is widely known as a tool for digitalization of a product, but there is no common definition concerning this term. This article discusses the definition and utilization of digital twin. Areas of use, it’s implementation in the product lifecycle and most importantly it’s benefits. The lack of a standardized concept of a digital  twin leads to a misunderstanding between mathematical models and digital twin. Several definitions of digital twin were analyzed and compared with the definition of mathematical model and simulation modelling. The basic concept of areas of use for digital twin is introduced. The differences and similarities between the two definitions were found. The article aims first of all to help the management of digital twins in practical application.


Keywords: Digital twin, Mathematical modelling, Mathematical model, Lifecycle of a product, Simulation modelling, Practical use of digital twin, Difference between the digital twin and mathematical model, Simulation.

References
[1] B. Hicks, “Industry 4.0 and Digital Twins: Key lessons from NASA,”

[2] Bolton A, Enzer M, Schooling J et al. ‘The Gemini Principles: Guiding values for the national digital twin and information management framework’ © 2018 Centre for Digital Built Britain and Digital Framework Task Group

[3] VDI/VDE-GMA Fachausschuss 7.21.,

[4] Krishna, Addepalli V. N. and Balamurugan M. ”Security Mechanisms in Cloud computing-based Big Data.” Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization. IGI Global, 2019. 165-195.

[5] Bondarevsky A.S., Lebedev A.B. Simulation modelling: Definition and technical realization // Fundamental Research. – 2011. – № 12-3. – C. 535-541;