Журналы →  Tsvetnye Metally →  2015 →  №9 →  Назад

AUTOMATION 60-th ANNIVERSARY OF JSC “SOYUZTSVETMETAVTOMATIKA”
Название The main research areas of JSC “Soyuztsvetmetavtomatika” in automation of ore mining and smelting processes
DOI 10.17580/tsm.2015.09.02
Автор Topchaev V. P., Salikhov Z. G.
Информация об авторе

JSC “Soyuztsvetmetavtomatika”, Moscow, Russia:

V. P. Topchaev, Chief Executive Officer, Academician of Russian Academy of Engineering Sciences, Candidate of Engineering Sciences, e-mail: scma@scma.ru
Z. G. Salikhov, Deputy Chief Executive Officer for Science, Academician of Russian Academy of Engineering Sciences, Doctor of Engineering Sciences

Реферат

A brief analysis and justification of science and technology trends and applications’ relevance requiring fast decisions and development to the world-class technology is provided. It is shown that the analyzed areas and scientific and practical problems caused by the need of improving or maintaining the efficiency of mining and metallurgical industries manufacturing. Due to generalization and deep analysis of the state of science and technology for the automation of these industries, the main directions and objectives of accelerated research’s development, experimental research and implementation of advanced engineering technical solutions in terms of sanctions are stated. The article presents the options for import substitution and implementation of new approaches based on the experience of JSC “Soyuztsvetmetavtomatika” and theoretical research results ICS RAS (laboratory No. 41) obtained at the Institute of Control Sciences of RAS, on the  automation of complex ore mining and smelting facilities. The essence of this approach is the development and use of intelligent numerical schemes of the new generation through the use of inductive technological knowledge’s virtual sensors, emerging and updating in real time based on the data mining process monitoring, in particular, dynamic clustering.

Ключевые слова Typification of ore concentrates, automation, observability of process conditions, quality, self-organizing systems, robotics, computer vision
Библиографический список

1. Kozin V. Z., Tikhonov O. N. Oprobovanie, kontrol i avtomatizatsiya obogatitelnykh protsessov (Sampling, control and automation of concentrating processes). Moscow : Nedra, 1986. 486 p.
2. Galiev S. Zh., Boyadinova A. A. et al. Sposob operativnogo monitoringa i upravleniya rudnym potokom (Method of on-line monitoring and control of ore flow). Nauchno-tekhnicheskoe obespechenie gornogo proizvodstva : sbornik nauchnykh trudov Instituta Gornogo Dela imeni D. Kunaeva (Scientific-technical maintenance of mining : collection of scientific proceedings of D. Kunaev Institute of Mining). Almaty, 2006. Vol. 22. pp. 138–143.
3. Morozov V. V., Topchaev V. P., Ulitenko K. Ya., Ganbaatar Z., Delgerbat L. Razrabotka i primenenie avtomatizirovannykh sistem upravleniya protsessami obogashcheniya poleznykh iskopaemykh (Development and application of industrial systems of control of mineral concentration processes). Moscow : “Ore and Metals” Publishing House, 2013. 512 p.
4. Camarillo-Escobedo R. M., Valdés-Perezgasga F., Rodrígues-Rivera R. Micro-analyzer with optical detection and wireless communications. Sensors and Actuators A: Phusical. 2013. Vol. 199. pp. 181–186.
5. Chanturiya V. A. Bashlykova T. V. Tekhnologicheskaya otsenka mineralnogo syrya s pomoshchyu avtomaticheskogo analiza izobrazheniy (Technological assessment of mineral raw materials using industrial image analysis). Gornyy vestnik = Mining bulletin. 1998. No. 1. pp. 37–52.
6. Stuart R. The Design of Virtual Environments. New York : McGrow-Hill, 1996.
7. Drexler K. E. Nanosystems Molecular Machinery, Manufacturing and Computation. New York : John Wiley& sons, 1992. 556 p.

8. Linda G. Shapiro, George C. Stockman. Kompyuternoe zrenie (Computer Vision). Moscow : Binom. Laboratoriya znaniy, 2006. 752 p.
9. Adamov E. V. Osnovy proektirovaniya obogatitelnykh fabrik (Basis of concentration plant design). Moscow : Publishing House “MISiS”, 2012. 647 p.
10. Andreev S. I., Kazakova V. E., Babaeva S. F., Cherkashev G. A. Tverdye poleznye iskopaemye Mirovogo okeana: istoriya otkrytiy, geologicheskoe izuchenie, perspektivy osvoeniya (Solid minerals of the World Ocean: discovery history, geological research, mastering prospects). Gornyi Zhurnal = Mining Journal. 2013. No. 11. pp. 65–72.
11. Ivoditov V. A., Trayno A. I., Volshonok I. Z., Rusakov A. D. Sovremennye metody povysheniya effektivnosti listoprokatnogo proizvodstva : monografiya (Modern methods of increasing of plate-rolling efficiency : monograph). Moscow : Publishing House “MISiS”, 2013. 288 p.
12. Bakhtadze N. et al. Associative Search and Wavelet Analysis Techniques in System Identification. Proceedings of the 16th IFAC Symposium on System Identification. Brussels: IFAC Publication, 2012. pp. 1227–1232.
13. Salikhov Z. Modeling of Singularly Perturbed Multi-Criterion Optimal Control Workflows. 15th IFAC Symposium on Information Control Problems in Manufacturing. Ottawa, Canada, May 11–13, 2015.
14. Salikhov Z. G., Gazimov R. T., Salikhov K. Z. Novyy sposob okhlazhdeniya slyabov v zone vtorichnogo okhlazhdeniya mashiny nepreryvnogo litya zagotovok, obespechivayushchiy kompyuternoe upravlenie protsessom kristallizatsii slyaba (New method of slab cooling in the area of secondary cooling of continuous casting machine, providing the computer control of slab crystallization process). Metallurg = Metallurgist. 2010. No. 5. pp. 50–52.

Language of full-text русский
Полный текст статьи Получить
Назад