ABOUT A «DIGITAL TWIN» OF A FOOD PRODUCT


https://doi.org/10.21323/2414-438X-2020-5-1-4-8

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Abstract

The paper presents definitions of digital twins. The authors examine a hypothesis that a digital twin of a food product is a mathematical (simulation) model that includes the whole variety of factors influencing quality and safety. An approach to the mathematical setting of the structural optimization task at different stages of description of the technology for a food product digital twin is analyzed. The first stage, which has several levels, is connected with correspondence of the nutritional and biological values to the medico-biological requirements. The second stage is linked with predetermination of structural forms, the third with perception of sensory characteristics (color, odor and so on). The universal method for assessment of quality and efficiency of a food product digital twin using the generalized function (integral index) is described. Different individual responses can be components of the additive integral index: physico-chemical, functional-technological and organoleptic.

About the Authors

Marina A. Nikitina
V. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of Sciences
Russian Federation

Marina A. Nikitina — candidate of technical sciences, docent, leading scientific worker, the Head of the Direction of Information Technologies of the Center of Economic and Analytical Research and Information Technologies

109316, Moscow, Talalikhina str., 26 Tel: +7–495–676–92–14



Irina M. Chernukha
V. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of Sciences
Russian Federation

Irina M. Chernukha — doctor of technical sciences, professor, Academician of the Russian Academy of Sciences, leading research scientist of Experimental clinic — laboratory «Biologically active substances of an animal origin

109316, Moscow, Talalikhina str., 26. Tel: +7–495–676–97–18



Andrey B. Lisitsyn
V. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of Sciences
Russian Federation

Andrey B. Lisitsyn — doctor of technical sciences, professor, Academician of the Russian Academy of Sciences, Scientific supervisor

109316, Moscow, Talalikhina str., 26. Tel: +7(495)–676–95–11



References

1. Grieves, M. (2014). Grieves Digital Twin: Manufacturing Excellence through Virtual Factory Replication — LLC, 7 p. [Electronic resource: https://www.researchgate.net/publication/275211047 Access date 20.01.2020].

2. Kokorev, D.S., Yurin, A.A. (2019). Digital twins: concept, types and benefits for business. Colloquium-journal, 10–2(34), 101–104.

3. Claessen, E., Stargel, D. (2012). The digital twin paradigm for future NASA and US Air Force vehicles. 53rd AIAA/ASME/ASCE/ AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA, 8, 7247–7260. https://doi.org/10.2514/6.2012–1818

4. Lee, J., Bagheri, B., Kao, H.A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing system. Manufacturing letters, 3, 18–23. https://doi.org/10.1016/j.mfglet.2014.12.001

5. El, Saddik A. (2018). Digital twins: the convergence of multimedia technologies. IEEE MultiMedia, 25(2), 87–92. https://doi. org/10.1109/mmul.2018.023121167

6. Söderberg, R., Wärmefjord, K., Carlson, J.S., Lindkvist, L. (2017). Toward a Digital Twin for real-time geometry assurance in individualized production. CIRP Annals, 66(1), 137–140. https://doi.org/10.1016/j.cirp.2017.04.038

7. Bolton, R.N., McColl-Kennedy, J.R., Cheung, L., Gallan, A., Orsingher, C., Witell, L., Zaki, M. (2018). Customer experience challenges: bringing together digital, physical and social realms. Journal of Service Management, 29(5), 766–808.

8. Tao, F., Sui, F., Liu, A., Qi, Q, Zhang, M., Song, B., Guo, Z., Lu, S. C.-Y., Nee, A.Y.C. (2019). Digital twin-driven product design framework. International Journal of Production Research, 57(12), 3935– 3953. https://doi.org/10.1080/00207543.2018.1443229

9. Peshkova, N. (2019). How digital twins help the Russian industry. [Electronic resource: https://rb.ru/longread/digitaltwin/. Access date 20.01.2020]. (in Russian)

10. Mukha, V.S. (2010). Computational methods and computer algebra / 2nd edition, revised and enlarged. Minsk: BGUIR. — 148 p. (In Russian)

11. Zharinov, A.I., Nelepov, Yu.N. (1995). Assessment of the main functional-technological properties of by-products of the 1st category. Meat industry, 2, 16–18. (In Russian)

12. Zharinov, A.I. (1994). The principles of modern technologies of meat processing. Part 1. Emulsified and coarsely minced meat products / under the editorship of M. P. Voyakin. Moscow: ITARTASS. — 154 p. (in Russian)

13. Nikitina, M.A., Chernukha, I.M., Nurmukhanbetova, D.E. (2019). Principal approaches to design and optimization of a diet for targeted consumer groups. News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences, 1(433), 231–241. https://doi. org/10.32014/2019.2518–170x.28.


Supplementary files

For citation: Nikitina M.A., Chernukha I.M., Lisitsyn A.B. ABOUT A «DIGITAL TWIN» OF A FOOD PRODUCT. Theory and practice of meat processing. 2020;5(1):4-8. https://doi.org/10.21323/2414-438X-2020-5-1-4-8

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