SpringerLink
Log in

Controlling the Equipment State Throughout the Industrial Life Cycle of the Product Using Digital Twin

  • Conference paper
  • First Online:
Software Engineering Research in System Science (CSOC 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 722))

Included in the following conference series:

  • 256 Accesses

Abstract

The issues of information interaction of components and assemblies of the product and their corresponding digital twins are considered. Proper organization of this interaction ensures the correct operation of the digital twin of an innovative product throughout the industrial life cycle. A formal statement of the problem of organizing the processing of data from an innovative product and its corresponding digital twin is presented. The process of forming, processing and analyzing data arrays from the product and the digital twin is described. This process is the key for filling the global information space with data on digital twins for different innovative products. A system for controlling the composition of the equipment of the product and its digital twin is proposed to ensure a correct operation of the product throughout the entire life cycle, including production, testing, repair, modernization, maintenance, operation, recycling. All of the above helps to reduce the duration of product testing on real objects and to provide the safety of innovative product operation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 160.49
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 213.99
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yu, W., Patros, P., Young, B., Klinac, E., Walmsley, T.: Energy digital twin technology for industrial energy management: classification, challenges and future. Renew. Sustain. Energy Rev. 161, 112407 (2022)

    Article  Google Scholar 

  2. Larkin, E., Privalov, A., Bogomolov, A., Akimenko, T.: Digital control of continuous production with dry friction at actuators. In: Ronzhin, A., Shishlakov, V. (eds.) Electromechanics and Robotics. SIST, vol. 232, pp. 427–436. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-2814-6_37

    Chapter  Google Scholar 

  3. Kender, K., et al.: Development of a digital twin for a flexible air separation unit using a pressure-driven simulation approach. Comput. Chem. Eng. 151(7), 107349 (2021)

    Article  Google Scholar 

  4. Shishova, N., Arkharov, I., Navasardyan, E.: Application of multivariate of analysis in technical systems. In: Romanenko, S. (ed.) III International Scientific Conference “Sustainable and Efficient Use of Energy, Water and Natural Resources” (SEWAN – 2021), pp. 296–297. Saint-Petersburg (2021)

    Google Scholar 

  5. Larkin, E., Akimenko, T., Bogomolov, A., Krestovnikov, K.: Mathematical model for evaluating fault tolerance of on-board equipment of mobile robot. In: Ronzhin, A., Shishlakov, V. (eds.) Proceedings of 15th International Conference on Electromechanics and Robotics “Zavalishin’s Readings.” SIST, vol. 187, pp. 383–393. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-5580-0_31

    Chapter  Google Scholar 

  6. Laukotka, F., Hanna, M., Krause, D.: Digital twins of product families in aviation based on an MBSE-assisted approach. In: Lutters, E. (ed.) 31st CIRP Design Conference 2021, vol. 100, pp. 684–689 (2021)

    Google Scholar 

  7. **ong, M., Wang, H.: Digital twin applications in aviation industry: a review. Int. J. Adv. Manuf. Technol. 121(9–10), 1–16 (2022)

    Google Scholar 

  8. Larkin, E., Bogomolov, A., Privalov, A.: Discrete model of mobile robot assemble fault-tolerance. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds.) ICR 2019. LNCS (LNAI), vol. 11659, pp. 204–215. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-26118-4_20

    Chapter  Google Scholar 

  9. Barkanyi, A., Chovan, T., Nemeth, S., Abonyi, J.: Modelling for digital twins — Potential role of surrogate models. Processes 9(476), 1–29 (2021)

    Google Scholar 

  10. Vorobev, A., Vorobeva, G.: Model of information interaction between elements of multilevel system of digital twins. Artif. Intell. Knowl. Data Eng. 20(3), 530–561 (2021)

    Google Scholar 

  11. Larkin, E.V., Akimenko, T.A., Bogomolov, A.V.: Modeling the reliability of the onboard equipment of a mobile robot. Izvestiya of Saratov University. New Ser. Ser.: Math. Mech. Inf. 21(3), 390–399 (2021). https://doi.org/10.18500/1816-9791-2021-21-3-390-399

  12. Tobin, D., Bogomolov, A., Golosovskiy, M.: Model of organization of software testing for cyber-physical systems. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds.) Cyber-Physical Systems: Modelling and Industrial Application. SSDC, vol. 418, pp. 51–60. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-95120-7_5

    Chapter  Google Scholar 

  13. Strelets, D., et al.: A combined artificial neural network for modeling behavior of multiparameter systems. Aviation Indust. 3, 4–8 (2017)

    Google Scholar 

  14. Balyk, O., Zolotaeva, M., Bogomolov, A., Soldatov, A.: Cyber-physical test facility for certification of robotic unmanned aerial systems. Lect. Notes Netw. Syst. 596, 385–396 (2023). https://doi.org/10.1007/978-3-031-21435-6_33

    Article  Google Scholar 

  15. Singh, S., Shehab, E., Higgins, N., Fowler, K., Erkoyuncu J., Gadd, P.: Towards information management framework for digital twin in aircraft manufacturing. In: Kellens, K., Ferraris, E., Demeester, E. (eds.) CIRPe 2020 – 8th CIRP Global Web Conference – Flexible Mass Customisation, vol. 96, pp. 163–168, Online (2021)

    Google Scholar 

  16. Yalozo, A., et al.: Mathematical simulation of aircraft fuel system operation. Polet 6, 12–24 (2018)

    Google Scholar 

  17. Larkin, E., Bogomolov, A., Gorbachev, D., Privalov, A.: About approach of the transactions flow to poisson one in robot control systems. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds.) ICR 2017. LNCS (LNAI), vol. 10459, pp. 113–122. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66471-2_13

    Chapter  Google Scholar 

  18. Larkin, E., Bogomolov, A., Antonov, M.: Modeling of increased rigidity of industrial manipulator. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds.) ICR 2020. LNCS (LNAI), vol. 12336, pp. 170–178. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60337-3_17

    Chapter  Google Scholar 

  19. Costa, F., Genovesi, S., Borgese, M., Michel, A.: A review of RFID sensors, the new frontier of internet of things. Sensors 21(9), 3138 (2021)

    Article  Google Scholar 

  20. Soldatov, A., Scherbakov, I., Osipov, A.: Cyber-physical approach to building a flight experiment control system. Lect. Notes Netw. Syst. 597, 495–507 (2023). https://doi.org/10.1007/978-3-031-21438-7_39

    Article  Google Scholar 

  21. Wenhu, T., et al.: Technologies and applications of digital twin for develo** smart energy systems. Strateg. Study Chin. Acad. Eng. 22(4), 1–13 (2020)

    Google Scholar 

Download references

Acknowledgements

This research was supported by the grant of the President of the Russian Federation for leading scientific schools of the Russian Federation NSh‐122.2022.1.6.

Author information

Authors and Affiliations

  1. St. Petersburg Federal Research Center of the Russian Academy of Sciences, 39, 14th Line V.O., St. Petersburg, 199178, Russian Federation

    A. S. Soldatov & E. S. Soldatov

Authors
  1. A. S. Soldatov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. E. S. Soldatov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. S. Soldatov .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Petr Silhavy

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Soldatov, A.S., Soldatov, E.S. (2023). Controlling the Equipment State Throughout the Industrial Life Cycle of the Product Using Digital Twin. In: Silhavy, R., Silhavy, P. (eds) Software Engineering Research in System Science. CSOC 2023. Lecture Notes in Networks and Systems, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-031-35311-6_60

Download citation

Publish with us

Policies and ethics

Search

Navigation