Demidov Artem Nikolaevich student
nstitute of Artificial Intelligence RTU MIREA, Moscow, Russia.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, smart production systems, information processing, pattern recognition, cybernetics
Chernenko Valery Dmitrievich student
nstitute of Artificial Intelligence RTU MIREA, Moscow, Russia.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, smart production systems, information processing, pattern recognition, cybernetics
Votintsev Mikhail Konstantinovich student
nstitute of Artificial Intelligence RTU MIREA, Moscow, Russia.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, smart production systems, information processing, pattern recognition, cybernetics
Baldin Alexander Viktorovich Doctor of Technical Sciences, Professor
1) Chief Researcher of JSC Research Institute of Computing Complexes, 2) Professor of the Department of Information Processing and Management Systems of the Bauman Moscow State Technical University, Moscow, Russia.
Research interests: artificial intelligence, databases, electronic university, expert systems, logic, mivar technologies of logical artificial intelligence, information processing, decision making, pattern recognition, natural language understanding, cybernetics, autonomous robotic complexes
Sorokin Sergey Alexandrovich Doctor of Technical Sciences
1) General Designer of JSC Scientific Research Institute of Computing Complexes", 2) Head of the basic department No. 254 of Computing Complexes of the Institute Artificial Intelligence of RTU MIREA, Moscow, Russia
Research interests: microelectronics, computing complexes, artificial intelligence, expert systems, logic, mivar technologies of logical artificial intelligence, information processing, decision making, pattern recognition, natural language understanding, cybernetics, autonomous robotic complexes
UDC 004.891+ 7.52 + 4.896 + 681.518 + 65.011.56 DOI 10.24412/2413-7383-43-57 Language: Russian Annotation:
It is substantiated that in the field of smart production systems for the production of wheel rims, it is possible and advisable to create a mivar expert system (MES). A system analysis of the subject area was performed, a formalized description of the subject area was developed, a mivar knowledge base was created in the form of a tabular representation of 66 rules for the mivar network for describing decision-making processes and information processing in the production of wheel rims. The mivar expert system has been implemented in the special mathematical software Wi!Mi Razumator version 2.1. Successful testing of mivar models of the subject area of smart production systems for the production of wheel rims has been carried out. Keywords: mivar, artificial intelligence, smart production systems, mivar expert systems, Wi!Mi Razumator, mivar technologies, system analysis, information processing, management, decision making, production of automobile wheel disks.
References: 1. Varlamov O. O. Evolutionary databases and knowledge for adaptive synthesis of intelligent systems. Mivar information space. Moscow: "Radio and communication", 2002 286 p. EDN RWTCOP.
2. Shen Q. et al. Dynamic robot trajectory planning based on semantic object detection using a mivar expert system // Problems of artificial intelligence. 2024 No. 4 (35). P. 164-176. DOI 10.24412/2413-7383-2024- 4-164-176. EDN DHVOFC.
3. Kotsenko A. A. Development of mivar logical space models to ensure three-dimensional movement of autonomous robots // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 pp. 361-366. EDN HBLZQY.
4. Sinitsyn LS Platform for robot SPS based on hybrid intelligent system // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 pp. 384-388. EDN QOSPPH.
5. Pleshakov VI Development of mivar inference machine for Elbrus processor // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 pp. 450-454. EDN EJDCAK.
6. Kovalenko AV, Kondrakhin SS, Smyslov DO MES on selection of game simulator for development of vehicle driving skills // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 pp. 67-72. EDN ZOXOUI.
7. Fedyunev A.Yu., Nesterov Yu.G., Pravdina A.D. MES for monitoring the microclimate in a greenhouse // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 pp. 107-112. EDN HSWYCJ.
8. Mashchenko E.I., Karpov D.K., Varlamov O.O. et al. Creation of a mivar expert system for understanding images and making decisions when detecting people falling // Problems of Artificial Intelligence. 2024 No. 4(35). pp. 88-100. DOI 10.24412/2413-7383-2024-4-88-100. EDN FGLHZP.
9. Rudzinsky V.V. MBZ technical support of a highly loaded fail-safe cluster // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 P. 169-173. EDN ZJYOTC.
10. Starykh F.A. MEV for assessing the contents of packet data in a local network // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 Pp. 102-106. EDN FKVQMO.
11. Podoprigorova N.S., Kozyrev S.A., Podoprigorova S.S. et al. Development of a mivar expert system for selecting a consensus algorithm for distributed registries // Problems of Artificial Intelligence. 2024 No. 4(35). Pp. 126-138. DOI 10.24412/2413-7383-2024-4-126-138. EDN AVXOTO.
12. Abdrashitova A.N., Vardumyan A.T., Golovatsky A.D. and others. Cloud system for creating MBZ // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 pp. 455-459. EDN LKDKGC.
13. Chuvikov D.A., Kim R.I., Bal'din A.V. Analysis of large language models for building dialog systems / // MIVAR'24: Collection of scientific articles. Moscow: INFRA-M, 2024 pp. 426-431. EDN IWVZPS.
14. Andreev A. et al. Text processing using LLM for automatic creation of agricultural crops knowledge bases // Bio Web of Conferences : International Scientific Conference on Biotechnology and Food Technology (BFT-2024). Vol. 130 Les Ulis: EDP Sciences, 2024 P. 1029 DOI 10.1051/bioconf/202413001029. EDN YTLLMF.
15. Varlamov O.O. et al. Logical, Philosophical and Ethical Aspects of AI in Medicine // International Journalof Machine Learning and Computing. 2019 Vol. 9, No. 6 P. 868-873. DOI 10.18178/IJMLC. EDN XJPKWA.
16. Varlamov O.O. et al. A Software Package Supporting Decision Making on the Safety of Thermolabile Blood Components // Biomedical Engineering. 2022 Vol. 55, No. 5 P. 355-359. DOI 10.1007/s10527- 022-10135-0. EDN ICRHIB.
17. Chuvikov D. A. et al. 3D Modeling and 3D Objects Creation Technology Analysis for Various Intelligent Systems // International Journal of Advanced Studies. 2014 Vol. 4, No. 4 P. 16-22. DOI 10.12731/2227- 930X-2014-4-3. EDN TEBOFL.
18. Aladin D. V. et al. Creating a "Logical intelligent plant care system" in digital agriculture based on Mivar approach // IOP Conference Series: Earth and Environmental Science, 2022 P. 12004 DOI 10.1088/1755- 1315/954/1/012004. EDN HODWVY.
19. Aladin D. V. et al. Control of vehicles and robots: Creation of planning systems in the state space
(MIPRA) // IOP Conference Series: Materials Science and Engineering : International Conference of Young Scientists and Students "Topical Problems of Mechanical Engineering", 2020 P. 12097 DOI 10.1088/1757-899X/747/1/012097. EDN OYOOVR.
20. Varlamov O.O. 2024: Review of Application Areas of LII MIVAR Technologies // MIVAR'24: Collection of Scientific Articles. Moscow: INFRA-M, 2024 Pp. 7-15. EDN ATMAZU.
21. Steel wheel rim production line // Xiaoya Group URL: http://wheelmachinery.ru/profile/wheel- manufacturing/199771/0/ (date of access: 21.01.25).
Release: 1(36)'2025
Chapter: SYSTEM ANALYSIS, INFORMATION MANAGEMENT AND PROCESSING, STATISTICS
How to quote:
A. N. Demidov, V. D. Chernenko, M. K. Votintsev, A. V. Baldin, S. A. Sorokin. MIVAR EXPERT SYSTEM FOR INTELLECTUALIZATION OF AUTOMOBILE WHEEL DISKS PRODUCTION // Problems of artificial intelligence. 2025. №1.