Almalyk branch of the National University of Science and Technology "MISiS", Almalyk, Republic of Uzbekistan:

B. M. Temerbekova, Dr. Eng., Associate Prof., Head of the Dept. of Automation of Technological Processes and Productions, e-mail: misis_temerbekova@mail.ru

U. B. Mamanazarov, Assistant of the Dept. of Automation of Technological Processes and Productions, e-mail: m67811@mail.ru

Almalyk branch of the Tashkent State Technical University named after Islom Karimov, Almalyk, Republic of Uzbekistan:

B. M. Bekimbetov, Assistant, Dept. of General Professional and Economic Sciences, e-mail: bakhodir.bekimbetov@inbox.ru

JSC Almalyk Mining and Metallurgical Complex (AGMK), Almalyk, Republic of Uzbekistan:
Zh. M. Ibragimov, Head of the Service for Automatic Control System for Technological Processes and Productions, Copper Processing Plant, e-mail: j.ibragimov@agmk.uz

The scheme of interaction of intellectual support tools in the systems of automated control and management of the structural system of intellectual control in mining and metallurgical complexesis disclosed. Practical implementation of quality management of technological parameters in complex thermal technological processes on the basis of modern cloud technologies implies a detailed knowledge base of the principles of construction and operation of the system, the specifics of using different algorithms, the features of actuators and the controlled object. The expediency and ways of solving the problem of filtering, distorted by disturbances and noise of the measuring signal on the basis of methods of the theory of fuzzy sets are substantiated. The algorithm of control of reliability of the measuring information in thermal technological processes of mining and metallurgical productions which is based on existence in control system of certain information redundancy of the data and consisting of separate interacting with each other blocks: "Preliminary control", "Transformation of equations", "Equations" and "Calculation xi " of corrected values xi = xi* + vi which satisfy to the initial equations and are most reliable" is offered.

1. Intelligent automatic control systems. Professional management. Edited by. I. M. Makarov and V. M. Lokhin. Moscow: FIZMATLIT, 2001. 576 p.
2. Temerbekova B. М., Mamanazarov U. B. Application of cloud computing in measuring information and control complexes of an automatic operational management system. International independent scientific journal. 2021. Vol. 1. № 34. pp. 39–43.
3. Aliev M. I., Isaeva E. A., Figarov V. R., Aliev I. M., Abdinova A. B. Study of noises in semiconductors by soft computing. International Conference on Computational Intelligence (ICCI-2004), Near East University, Nicosia, North Cyprus, May 27–29, 2004. p. 12.
4. Temerbekova B. М. Application of systematic error detection method to integral parameter measurements in sophisticated production processes and operations. Tsvetnye Metally. 2022. No. 5. pp. 79–86.
5. Aliev М. I., Aliev I. М., Isaev E. А. Fluctuations from the point of view of L. Zadeh fuzzy set theory. Iskusstvenny intellekt i prinyatiya resheniy. 2009. No. 2. pp. 70–75.
6. Froehlich T., Augustin S., Mammen H., Blumroeder G. et al. Long term stability of miniature fixed-point cells used in self-calibrating thermometers. Proceedings of the "SENSOR+TEST Conferences 2011", Nurnberg, Germany, 7–9 June, 2011. pp. 732–737.
7. Gulyamov Sh. M., Temerbekova B. M. Construction of the vector of minimum works for the performance of the scheduled tasks of the operational and dispatch management of the technological complex. International Journal of Psychosocial Rehabilitation. 2020. Vol. 24. Iss. 3. pp. 225–231.
8. Svistunov B. L. Transducers for parametric sensors using analytical redundancy. Izmerenie. Monitoring. Upravlenie. Kontrol. 2017. No. 2 (20). pp. 94–100.
9. Attia A. A., Horacek P. Adaptation of genetic algorithms for optimization problem solving. 7^th International Conference on Computing MENDEL 2001. Brno. 2001. pp. 36–41.
10. Ionov А. B., Chernysheva N. S., Ionov B. P., Plotkin Е. V. Intellectualization of the device as a way to minimize the human factor in non-contact temperature measurements. Pribory. 2014. No. 6 (168). pp. 1–10.
11. Yusupbekov N. R., Gulyamov Sh. М., Temerbekova B. М., Mamanazarov U. B. Noise immunity criterion for the development of an automated complex technological process. Promyshlennye ASU i kontrollery. 2022. No. 10. pp. 3–7.
12. Bogatenkov S. А., Dadaev V. V., Sikharulidze А. S. Methods for monitoring the reliability of measurement information using automated information and measurement systems. Proceedings of the 68^th Scientific Conference "SUSU Science" Chelyabinsk, April 5–7, 2016. pp. 384–389.
13. Katruk Yu. М., Seryeznov А. N., Trushin V. А. Robust methods for increasing the reliability of measurement information and their application in the IMS of a mass strength experiment. Nauchnyi vestnik NGTU. 2016. Vol. 63. No. 2. pp. 90–98.
14. Samarov К. L. Mathematics. Linear algebra: educational and methodical guide for the section. 2009. p. 34.
15. Levchenko А. А., Stadnik I. L. Assessing the reliability of identifying the state of information measuring systems. Trudy Odesskogo politekhnicheskogo universiteta. 2006. Iss. 1 (25). pp. 133–138.
16. Kochneva Е. S., Pazderin А. V. Evaluation of the reliability of measurements of electrical energy by methods of the state estimation theory. Proceedings of the International youth conference "Electric power industry through the eyes of youth 2014". 2014. Vol. 2. pp. 98–102.
17. Yusupbekov N. R., Gulyamov Sh. М., Temerbekova B. М., Sharipov М. Z., Ubaydullaev U. B. Application of cloud computing technology to assess the reliability of measurement information. Prospects for the development of processing technologies and equipment in mechanical engineering: Proceedings of the 4^th All-Russian Scientific and Technical Conference with international participation. February 18–19, 2019. Kursk, 2019. pp. 326–331.
18. Balandin A. A. Noise and fluctuations control in electronic devices. American Scientific Publishers. 2002. 400 p.
19. Gavrilenkova M., Kalinin V., Sapozhnikova K., Taymanov R. Intelligent force measurement system. Proceedings of the 11^th ISMTII "Metrology – Master Global Challenges", Aachen & Braunschweig, Germany. 2013. pp. 261–262.
20. Pronin А. N., Sapozhnikova К. V., Taymanov R. Е. Control of the reliability of information coming from sensors. Datchiki i sistemy. 2008. No. 8. pp. 58–63.
21. Temerbekova B. М. Ensuring the reliability of independently measured parameters of technological flows in information and control systems. Promyshlennye ASU i kontrollery. 2021. No. 12. pp. 20–25.
22. Taimanov R., Sapozhnikova K. Intelligent measuring instruments. Maximum reliability of measuring information, minimum metrological maintenance. Proceedings of the XVII IMEKO World Congress, 2003, Dubrovnik, Croatia. pp. 1094–1097.
23. Baksheeva Yu. V., Druzhinin I. I., Sapozhnikova К. V., Taymanov R. Е. Economic efficiency of intelligent sensors and measuring systems. Proceedings of the 11^th session of the International scientific school "Fundamental and applied problems of reliability and diagnostics of machines and mechanisms" (VPB-13), October 22–25, 2013, St. Petersburg. 2013. pp. 73–80.