ПРОГРАММНЫЙ КОМПЛЕКС ПОДДЕРЖКИ МОДЕРНИЗАЦИИ ТЕХНИЧЕСКИХ СИСТЕМ
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

SOFTWARE FOR TECHNICAL SYSTEMS MODERNIZATION SUPPORT

Kizim A.V.   Matokhina A.V.   Kravets A.G.   Medinseva I.P.  

UDC 004.896
DOI: 10.26102/2310-6018/2019.25.2.025

  • Abstract
  • List of references
  • About authors

The paper describes the development of a system for representing knowledge about equipment as a technical system that combines models for representing knowledge about the structure, parameters, and functioning of the system. The architecture of the intellectual platform of monitoring, diagnostics, and modernization of technical systems at various stages of the life cycle is shown. The developed subsystems make it possible to analyze the current state of the technical system, predict subsequent states, carry out fault diagnostics and propose modernization options, taking into account the goals set, or based on the results of the analysis of the technical characteristics of the system. The classification of the main goals of equipment modernization is given. A description of the method of upgrading equipment for monitoring purposes, as the final product, and process equipment. The ontology of common industrial equipment is presented, including the classes necessary for building equipment modernization precedents, taking into account the goal of modernization. The proposed ontology includes a detailed presentation of data and knowledge on the main types of common industrial equipment, as well as diagnostic rules for troubleshooting certain types of equipment. A formal description of equipment modernization precedents is proposed. It shows the relevance of development for modern industrial enterprises, as part of the national program and the concept of modern production. The study was carried out with the financial support of the Russian Foundation for Basic Research in the framework of research project No. 19-07-01200.

1. Predictive Modeling as A Basis for Monitoring, Diagnosis, Forecasting and Technical Systems. Matokhina, A.V. Kizim, V.V. Panteleev, N.A. Nikitin, S.E. Dragunov // 11th International Conference on Application of Information and Communication Technologies - AICT`2017 (Moscow, Russia, September 20-22, 2017): Conference Proceedings. Vol. 2 / V.A. Trapeznikov Institute of Control Sciences of RAS, Institute of Electrical and Electronics Engineers (IEEE), Russian Foundation for Basic Research (project No. 17-08-20518) [et al.]. - Moscow, 2017. - p. 480-484.

2. Kizim, A., A. Kokim, A. Matokhina, B. Nesterov, Development of the Optical Methodology // Creativity in Intelligent Technologies and Volunteers, 2015, Volgograd, Russia, September 15 17, 2015 Proceedings - p. 355–367.

3. Kizim, A.V. Increase-ciency / A.V. Kizim // Information Resources Management Journal. - 2016. - Vol. 29, No. 4. - C. 49-64.

4. Kizim, AV. Expert Diagnostic System Maintenance of Complexes in the Life Cycle / Kizim, AV.; Matokhina, A. V .; Kamaev, V. A .; et al. // International Journal Of Advanced Biotechnology And Research. No. 7 (2) .- p. 710-716.

5. Automation of the maintenance management system for a group object / M.I. Yatsechko, S.V. Ippolitov, R.V. Repin, V.A. Malyshev // Modeling, optimization and information technology. Scientific Journal, Volume 7, No. 1, 2019. doi: 10.26102 / 2310-6018 / 2019.24.1.041

6. Koitz R., Wotawa F. Diagnosis of technical systems / R. Koitz, F. Wotawa // Proceedings of the 24th International Conference on Artificial Intelligence. - 2015. - P. 4375-4376.

7. Hardware-software complex for diagnostics of chiller faults / A.V. Kizim, M.A. Chernetsky, A.V. Matokhina, S.E. Polzunov // News of VolgGTU. Ser. Actual problems of management, computing and computer science in technical systems. - Volgograd, 2015. - № 14 (178). - C. 116-122.

8. Kizim, AV. Intelligent Platform for Monitoring and Diagnostic Systems for Various Systems / Kizim, AV., Matokhina A.V., Vayngolts I.I. and Shcherbakov M.V. // Proceedings of the 5th International Conference on System Modeling Advancement in Research Trends (25th - 27th November, 2016). - p. 145-150.

9. Campos J. An ontology for asset management. IFAC Conference on Cost Effective Automation in Networked. - 2007.

10. Shcherbakov, M.V. A Method and IR4I Index Indicating the Business Processes for Data Science Solutions / M.V. Shcherbakov, P.P. Groumpos, A.G. Kravets // Creativity in Intelligent Technologies and Data Science. Second Conference, CIT & DS 2017 (Volgograd, Russia, September 12-14, 2017): Proceedings / ed. by A. Kravets, M. Shcherbakov, M. Kultsova, Peter Groumpos; Volgograd State Technical University [et al.]. - [Germany]: Springer International Publishing AG, 2017. - P. 21-34. - (Ser. Communications in Computer and Information Science; Vol. 754).

11. Lvovich I.Y. et al. Production process control subsystem for manufacture of integrated circuits / Lvovich I.Y., Lvovich Y.E., Preobrazhenskiy A.P., Saleev D.V., Choporov O.N. //Measurement Techniques. 2017. Т. 60. № 6. С. 529- 533.

12. Viktor Dravitsa, Alexander Kurbatsky Industrial Revolution Industry 4. 0 // Science and Innovations. 2016. №157

13. Foot and mouth disease A. System of maintenance and repair of general industrial equipment. - Liters, 2018.

14. Baidya R. et al. The International Journal of Advanced Manufacturing Technology. - 2018. - T. 94. - №. 1-4. - p. 31-44.

15. Keskin F. D. et al. Decision Techniques An Assessment Model for Organizational Adoption of Industry 4.0 Based on Multi-Criteria // The International Symposium for Production Research. - Springer, Cham, 2018. - p. 85-100.

Kizim Aleksey Vladimirovich
Candidate of Technical Sciences
Email: kizim@mail.ru

Volgograd State Technical University

Volgograd, Russian Federation

Matokhina Anna Vladimirovna
Candidate of Technical Sciences
Email: matokhina.a.v@gmail.com

Volgograd State Technical University

Volgograd, Russian Federation

Kravets Alla Grigorievna
Candidate of Pedagogical Sciences
Email: agk@gde.ru

Volgograd State Technical University

Volgograd, Russian Federation

Medinseva Irina Petrovna

Email: medinira@yandex.ru

Volgograd Institute of Management – branch of the Russian Presidential Academy of National Economy and Public Administration

Volgograd, Russian Federation

Keywords: ontological engineering, production modernization, maintenance and repair, life cycle

For citation: Kizim A.V. Matokhina A.V. Kravets A.G. Medinseva I.P. SOFTWARE FOR TECHNICAL SYSTEMS MODERNIZATION SUPPORT. Modeling, Optimization and Information Technology. 2019;7(2). Available from: https://moit.vivt.ru/wp-content/uploads/2019/05/KizimSoavtori_2_19_1.pdf DOI: 10.26102/2310-6018/2019.25.2.025 (In Russ).

537

Full text in PDF