The Digital Twin for Agricultural Machinery Restoration Processes
Introduction. Agricultural machinery provides the required level of mechanization. Sand abrasive, dirt, and open-air operations considerably accelerate the wear of mechanisms. An improper work plan and lack of complete information about the state of specific equipment units increase the time for rep...
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| Format: | Article |
| Language: | English |
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National Research Mordova State University; MRSU
2022-03-01
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| Series: | Инженерные технологии и системы |
| Subjects: | |
| Online Access: | http://vestnik.mrsu.ru/index.php/en/articles2-en/105-21-4/898-10-15507-0236-2910-031-202104-3 |
| _version_ | 1818356754722848768 |
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| author | Yuriy G. Sledkov Leonid L. Khoroshko Pavel M. Kuznetsov Anton O. Butko |
| author_facet | Yuriy G. Sledkov Leonid L. Khoroshko Pavel M. Kuznetsov Anton O. Butko |
| author_sort | Yuriy G. Sledkov |
| collection | DOAJ |
| description | Introduction. Agricultural machinery provides the required level of mechanization. Sand abrasive, dirt, and open-air operations considerably accelerate the wear of mechanisms. An improper work plan and lack of complete information about the state of specific equipment units increase the time for repair and maintenance operations. The purpose of the study is to develop a digital twin model for the repair and restoration system of enterprises. The model will reduce material costs and allow for the best solutions to organize the work.
Materials and Methods. The model is developed on the basis of simulation modeling. The authors used the approach based on discrete-event modeling with the logical-mathematical apparatus for describing events occurring in a real object.
Results. Information support is formed taking into account the parameters of the production systems of repair enterprises and a mathematical model, which is a digital twin of the production system. This approach made it possible to automate the development of optimal plans for organizing repair work by repair enterprises, taking into account their interrelationships.
Discussion and Conclusion. The digital twin for the generalized production system of repair organizations allows developing options for the resource allocation and verifying them promptly to choose the best options through accumulating information about the most successful solutions. This will reduce the time for repair and restoration works, improve their quality and save labor. |
| first_indexed | 2024-12-13T20:02:15Z |
| format | Article |
| id | doaj.art-8197d783deb44a71b16f529935d32ce8 |
| institution | Directory Open Access Journal |
| issn | 2658-4123 2658-6525 |
| language | English |
| last_indexed | 2024-12-13T20:02:15Z |
| publishDate | 2022-03-01 |
| publisher | National Research Mordova State University; MRSU |
| record_format | Article |
| series | Инженерные технологии и системы |
| spelling | doaj.art-8197d783deb44a71b16f529935d32ce82022-12-21T23:33:08ZengNational Research Mordova State University; MRSUИнженерные технологии и системы2658-41232658-65252022-03-0129453054310.15507/2658-4123.031.202104.530-543The Digital Twin for Agricultural Machinery Restoration ProcessesYuriy G. Sledkov0https://orcid.org/0000-0001-6626-7283Leonid L. Khoroshko1https://orcid.org/0000-0002-7487-8997Pavel M. Kuznetsov2https://orcid.org/0000-0001-9237-3848Anton O. Butko3https://orcid.org/0000-0002-7933-3582Moscow Aviation Institute (National Research University)Moscow Aviation Institute (National Research University)Moscow Aviation Institute (National Research University)Moscow Aviation Institute (National Research University)Introduction. Agricultural machinery provides the required level of mechanization. Sand abrasive, dirt, and open-air operations considerably accelerate the wear of mechanisms. An improper work plan and lack of complete information about the state of specific equipment units increase the time for repair and maintenance operations. The purpose of the study is to develop a digital twin model for the repair and restoration system of enterprises. The model will reduce material costs and allow for the best solutions to organize the work. Materials and Methods. The model is developed on the basis of simulation modeling. The authors used the approach based on discrete-event modeling with the logical-mathematical apparatus for describing events occurring in a real object. Results. Information support is formed taking into account the parameters of the production systems of repair enterprises and a mathematical model, which is a digital twin of the production system. This approach made it possible to automate the development of optimal plans for organizing repair work by repair enterprises, taking into account their interrelationships. Discussion and Conclusion. The digital twin for the generalized production system of repair organizations allows developing options for the resource allocation and verifying them promptly to choose the best options through accumulating information about the most successful solutions. This will reduce the time for repair and restoration works, improve their quality and save labor.http://vestnik.mrsu.ru/index.php/en/articles2-en/105-21-4/898-10-15507-0236-2910-031-202104-3repair worktechnological processautomationmathematical modeldatabasesoftware environmentproductivity |
| spellingShingle | Yuriy G. Sledkov Leonid L. Khoroshko Pavel M. Kuznetsov Anton O. Butko The Digital Twin for Agricultural Machinery Restoration Processes Инженерные технологии и системы repair work technological process automation mathematical model database software environment productivity |
| title | The Digital Twin for Agricultural Machinery Restoration Processes |
| title_full | The Digital Twin for Agricultural Machinery Restoration Processes |
| title_fullStr | The Digital Twin for Agricultural Machinery Restoration Processes |
| title_full_unstemmed | The Digital Twin for Agricultural Machinery Restoration Processes |
| title_short | The Digital Twin for Agricultural Machinery Restoration Processes |
| title_sort | digital twin for agricultural machinery restoration processes |
| topic | repair work technological process automation mathematical model database software environment productivity |
| url | http://vestnik.mrsu.ru/index.php/en/articles2-en/105-21-4/898-10-15507-0236-2910-031-202104-3 |
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