INTELLECTUALIZATION OF TECHNICAL MEANS FOR CONTROLLING TECHNOLOGICAL REFINING PROCESSES
DOI:
https://doi.org/10.5281/zenodo.18013166Abstract
The article presents a scientifically grounded concept for the intellectualization of technical means for monitoring
refining technological processes, aimed at increasing the accuracy, reliability, and validity of measurement information
under conditions of uncertainty and external disturbances. Modern trends in the development of intelligent sensors,
methods of self-control, self-diagnosis, and self-calibration, as well as algorithms for intelligent processing of measurement
signals based on fuzzy logic, neural networks, and cognitive models, are considered. Special attention is paid to the
integration of intelligent measuring instruments into automated technological process control systems and Industry 4.0
digital production platforms. The results of the analysis of the effectiveness of the proposed methods and their practical
implementation in industrial conditions are presented
Keywords
intelligent sensors, measuring instruments, self-control, self-calibration, cognitive analysis, refinement, Industry 4.0.References
Jianbo Yu, Lifeng Xi, Xiaojun Zhou. Intelligent monitoring and diagnosis of manufacturing processes using an integrated
approach of KBANN and GA // Computers in Industry, Volume 59, Issue 5, May 2008, Pages 489-501. https://doi.
org/10.1016/j.compind.2007.12.005
Korshunov, G. I. A Cyber-Physical System for Monitoring the Technical Condition of Heat Networks / G. I. Korshunov,
A. A. Aleksandrov, A. R. Tamvilius // Lecture Notes in Networks and Systems. – 2020. – № 95. – P. 407-412. DOI:
1007/978-3-030-34983-7_39.
Weiss, G. Towards integrating undependable self-adaptive systems in safety-critical environments / G. Weiss, P.
Schleiss, D. Schneider, M. Trapp // Proceedings - International Conference on Software Engineering. – 2018. – P.
-32. DOI: 10.1145/3194133.3194157.
Dong-Seong Kim, Hoa Tran-Dang , An Overview on Wireless Sensor Networks:, Industrial Sensors and Controls in
Communication Networks, 2018, pp 101–113.
Heinz W. Zwanziger, Eduard Sorkau. Kalibration analytischer Methoden. Theorie & Techniken. Eine Orientierungshilfe,
Merseburg, 2020. 163 Seiten, DOI: http://dx.doi.org/10.25673/38489
Yusupbekov A.N., Ruziev U.A., Shodiev M.K. Multi-model virtual analysers of parameters of technological processes
// Journal “Advances in Intelligent Systems and Computing”. Switzerland: Springer Nature. 2021. Volume 1323. –
PP.121-126. (3, Scopus, IF 0,9)
Ruziev U.A., Shodiev M.K. Virtual analyzers for increasing the intelligence of industrial process control systems //
International scientific and technical journal “Chemical Technology. Control and Management”. -№6(102). -2021. –
PP.31-36.
Ruziev U.A. Cognitive approach to self-monitoring of intelligent sensors // International scientific and technical journal
“Chemical Technology. Control and Management”. -№6(108). -2022. –PP.43-49.
Ruziev U.A. Development of intelligent sensors with metrological self-control // Journal “Technical sciences and
innovation”. -№4(14). -2022. –PP.142-149.
Karpovich D.S., Ruziev U.A. Intellectualization of the process of monitoring of complex technological productions //
International scientific and technical journal “Chemical Technology. Control and Management”. -№3(111). -2023. –
pp.28-34.
Yusupbekov N.R., Ruziev U.A. Method for metrological self-checking intelligent measurement devices // Journal
“Technical sciences and innovation”. -№2(16). -2023. –PP.167-173.
Ruziev U.A. Methods for diagnosing errors of intelligent measurement devices // Journal “Technical sciences and
innovation”. -№2(16). -2023. –PP.173-179.
Ruziev U.A. Self-Calibration of Intelligent Sensors Based on Virtual Analysis // International Journal of Discoveries and
Innovations in Applied Sciences. E-ISSN: 27923983. Volume: 3. Issue: 10. Spain, 2023. – PP.47-52 (23, SJIF, IF 7,2)
Рузиев У.А., Севаров С.Я. Применение интеллектуальных датчиков в промышленности / Сборник материалов
республиканской научно-практической конференции «Проблемы и пути их преодоления в условиях интеграции
науки и производства химических технологий, химической и пищевой промышленности». Часть II. 3-4 июня
г.– с.320-322.
Yusupbekov N.R., Ruziev U.A. Identifcation approach for creating software algorithms for intelligent measuring
instruments / Proceedings of International Conference “Scientific Research of the SCO Countries: Synergy and
Integration”. -Beijing (China) August 10, 2022. Part 2. –PP.152-157.
Рузиев У.А. Когнитивные средства измерения технологических параметров / Сборник материалов
республиканской научной конференции «Наука и технологии в Ферганской долине». Наманган, 11-12 мая 2023
г. -с.594-596.
Рузиев У.А. Самокалибровка интеллектуальных средств измерения / Материалы II международного конференция
«Перспективы инновационного метрологического обеспечения промышленности и его актуальные научно-
практические проблемы». –Ташкент, 23-24 мая 2023г. -C.131-132.
U.A. Ruziev, E.E. Ortikov. Methods and means of self-monitoring and fault tolerance in flow measurement transducers
// International scientific and technical journal “Chemical Technology. Control and Management”, Vol. 2024: Iss. 4(118),
-pp.70-74.
E.E. Ortikov. Modern methods of self-monitoring, diagnostics, and fault tolerance in flow measurement systems //
International scientific and technical journal “Chemical Technology. Control and Management”: 2025, №4 (124) pp.
-55
U.A. Ruziev, E.E. Ortikov. Improving the reliability of measurement systems through self-monitoring methods / XIV
International Scientific and Practical Conference “Scientific advances and innovative approaches”, October 31 –
November 01, 2024, Tokyo. Japan. ISBN 978-92-44514-26-9, DOI: https://doi.org/10.5281/zenodo.14046748, pp.239-
Downloads
Published
How to Cite
Issue
Section
