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Application of digital twins of technological farm machines during their operation and maintenance

https://doi.org/10.26897/2687-1149-2025-1-20-25

Abstract

The digital twin of a technological machine can significantly improve the efficiency of operation and service of farm machinery. The authors carried out theoretical studies to identify the effectiveness of using digital twins in terms of the technical condition of agricultural machinery. The article considers a possibility of using digital twins of technological machines during their operation and maintenance to automate repair inspections digitize engineering information on maintenance and repair, minimize equipment downtime, and ensure quality control and the safety of operation. The authors present a functional dependency formula of the efficiency of using digital twins in operation and maintenance. It is established that reasonable decisions on maintenance and repair of equipment can be made only in case of digital twin modeling of various full and partial failures, taking into account operation modes, environmental impact and the wear intensity of parts. Therefore, the authors proposed to install RFID tags and monitoring terminals based on GPS, ISOBUS and modern software. They can analyze in real time information on the compliance of the process indicators to the specified parameters, and give instructions and control actions to the machine operator to correct the operation of tractors, working tools of implements, and units. Studies have shown the effectiveness of using digital twins of agricultural machinery as they can reduce costs for maintenance, elimination of failures, and unplanned downtime, as well as increase productivity.

About the Authors

A. A. Zhizdyuk
Saratov State University of Genetics, Biotechnology and Engineering named after N.I.Vavilov
Russian Federation

Andrey A. Zhizdyuk, CSc (Eng), Assistant Professor

410012, Saratov, Pyotr Stolypin Ave., 4, building 3.



V. N. Builov
Saratov State University of Genetics, Biotechnology and Engineering named after N.I.Vavilov
Russian Federation

Valery N. Builov, DSc (Eng), Assistant Professor



S. V. Chumakova
Saratov State University of Genetics, Biotechnology and Engineering named after N.I.Vavilov
Russian Federation

Svetlana V. Chumakova, CSc (Eng), Assistant Professor



M. N. Akhilbekov
South Kazakhstan University named after M. Auezov
Kazakhstan

Mukhat N. Akhilbekov, CSc (Eng), Assistant Professor

Shymkent, 5, Tauke Khan Ave.



References

1. Abramov V.A., Zhizdyuk A.A., Khitrova N.V. Development of recommendations to improve energy supply of the agro-industrial sector of the Saratov region by using the opportunities of the secondary market of machinery. Deposit manuscript No. 138-V2013 March 16, 2013.

2. Golubev I.G., Bykov V.V., Golubev M.I. et al. Possibilities of using digital twins in repair and maintenance production. Sci entific and Information Support of the Innovative Development of Agroindustrial Sector: Proceedings of the XV International Scientific and Practical Conference, Pravdinskiy, Moscow region, June 08, 2023. Moscow, Russian Research Institute of Information and Technical and Economic Research on Engineering and Technical Support of Agroindustrial Sector, 2023. Р. 773-779.

3. Zhizdyuk A.A., Builov V.N., Chumakova S.V. Digital solutions for field work. Vavilov Readings – 2023: Proceedings of the International Scientific and Practical Conference dedicated to the 136th anniversary of Academician N.I. Vavilov, Saratov, No vember 23-25, 2023. Saratov, Saratov State University of Genetics, Biotechnology and Engineering named after N.I. Vavilov, 2023. Р. 296-303.

4. Sevryugina N.S., Apatenko A.S. Integration of profiles of digital twins of technological machines in the field of operation and maintenance. Scientific and Information Support of the Innova tive Development of Agroindustrial Sector: Proceedings of the XV In ternational Scientific and Practical Conference, Pravdinskiy, Mos cow region, June 08, 2023. Moscow, Russian Research Institute of Information and Technical and Economic Research on Engineer ing and Technical Support of Agroindustrial Sector, 2023. Р. 84-91.

5. Erokhin M.N., Dorokhov A.S., Kataev Yu.V. Intelligent system for diagnosing the parameters of the technical condition of tractors. Agricultural Engineering (Moscow). 2021;2(102):45-50. (In Russ.). https://doi.org/10.26897/2687-1149-2021-2-45-50

6. Builov V.N., Chumakova S.V., Zhizdyuk A.A. Mathematical modeling in the study of soil structure. Vavilov Readings – 2023: Proceedings of the International Scientific and Practical Conference dedicated to the 136th anniversary of Academician N.I. Vavilov, Saratov, November 23-25, 2023. Saratov, Saratov State University of Genetics, Biotechnology and Engineering named after N.I. Vavilov. Р. 105-111.

7. Makarov S.V., Ivanova A.S., Balebin D.I., Gos T.O. Informa tion technologies in quality management. Young Scientists’ Contri bution to the Development of the National Technological Initiative (SEARCH), 2022;1:860-862.

8. Pasyuta A.P., Mukhortov. M.A., Pelymskaya I.S. Applica tion of digital twin technology in the organization of production and maintenance of equipment. Russian Regions in the Focus of Change: Proceedings of the XV International Conference, Yekat erinburg, 10-14 November 2020. Vol. 2. Yekaterinburg, OOO “Izdatelstvo UMTs UPI”, 2021. Р. 401-405.


Review

For citations:


Zhizdyuk A.A., Builov V.N., Chumakova S.V., Akhilbekov M.N. Application of digital twins of technological farm machines during their operation and maintenance. Agricultural Engineering (Moscow). 2025;27(1):20-25. (In Russ.) https://doi.org/10.26897/2687-1149-2025-1-20-25

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ISSN 2687-1149 (Print)
ISSN 2687-1130 (Online)