ArticleName |
Development of the instrumentation and analytical base of automated online control systems for ore flows in processing plants (review) |
ArticleAuthorData |
National University of Science and Technology (MISIS), Moscow, Russia
V. V. Morozov, Professor of the Department of General and Inorganic Chemistry, Doctor of Technical Sciences, Professor, e-mail: dchmggu@mail.ru
JSC Soyuztsvetmetavtomatika, Moscow, Russia A. V. Demin, General Director, Candidate of Technical Sciences, e-mail: dav@scma.ru
Ural State Mining University, Yekaterinburg, Russia Yu. P. Morozov, Professor of the Department of Mineral Processing, Doctor of Technical Sciences, Professor, e-mail: tails2002@inbox.ru
Enterprise for the control systems development SASS Co ltd., Erdenet, Mongolia Delgerbat Lodoy, Technical Director, Doctor of Technical Sciences |
Abstract |
The analysis results of the current state of the instrumentation and quality control techniques of ore flows, which are an integral part of process control systems, are presented. The application of an operational study of the material and granulometric composition of ground ore by visiometric analysis systems using X-ray fluorescence and neutron activation analyzers is considered. It is shown that in systems for determining the size and grade of ore, the use of visiometric analysis is a promising direction, and the information obtained is used to control the processes of grinding and minerals processing. For automated measurement of the parameters of ores elemental composition, the use of laser optical emission spectrometry based on the fixation of secondary radiation from an ionized fragment of an ore sample and a combination of reflection spectroscopy in the visible and near infrared range with traditional X-ray fluorescence analysis are considered. The effectiveness of using froth layer visiometric analysis systems in flotation using photo or video cameras mounted on top of flotation chambers is shown. When using video cameras, along with color analysis, it is possible to measure the speed of froth movement, the size of bubbles and the rate of their destruction. The results of the application of sedimentation, probe and ultrasonic analyzers of granulometric composition are considered. The conclusion is made about the high efficiency of the probe method for measuring the characteristics of the granulometric composition of the pulp solid phase. This method is based on repeated direct mechanical measurement of particle sizes in the pulp. The results of the development, testing and implementation of modern online ore flow control systems at the Erdenet Mining Corporation processing plant (with the participation of Russian specialists) are presented. The effects of using the GRANIX analyzer, visiometric analysis systems for the mineral composition of finely ground ore, automated control of the grinding and classifying complex using a PIK-074P flow granulometer and a VAZM-1 vibroacoustic analyzer for volumetric filling of mills of JSC Soyuztsvetmetavtomatika are shown. A new method and device integrated into the current analytical process control system were tested at the Erdenet Mining Corporation processing plant to examine the mineral composition of ore. |
References |
1. Morozov V. V., Topchaev V. P., Ulitenko K. Ya., Ganbaatar Z., Delgerbat L. Development and application of automated systems of control of mineral dressing processes. Moscow : Ore and Metals Publishing House, 2013. 512 p. 2. Sbárbaro D., Villar R. Advanced control and supervision of mineral processing plants. 2010. DOI: 10.1007/978-1-84996-106-6 3. Hodouin D. Methods for automatic control, observation, and optimization in mineral processing plants. Journal of Process Control. 2011. Vol. 21. pp. 211–225. 4. Xiaoping L., Dayong Z., Kuangdi X. Measurement and control for ore grinding and classification. Ed by Xu K. The ECPH Encyclopedia of Mining and Metallurgy. Singapore : Springer, 2023. DOI: 10.1007/978-981-19-0740-1_830-1 5. Ulitenko K. Ya. Management of wet grinding modes and classification in modern automated process control systems. Obogashchenie Rud. 2008. No. 1. pp. 35–42. 6. Topchaev V. P., Fedin G. V., Pak V. Special-purpose hardware for automatic control of ore flotation process parameters. Tsvetnye Metally. 2015. No. 9. pp. 58–62. 7. Bascur O. A., Soudek A. Grinding and flotation optimization using operational intelligence. Mining, Metallurgy & Exploration. 2019. Vol. 36. pp. 139–149. 8. Germanov A. A., Trushin A. A., Tikhonov N. O., Tregubov A. A. Advanced technology for automatic control of operation parameters in mineral processing. Gornyy informatsionno-analiticheskiy byulleten. 2019. No. 2. pp. 114–122. 9. Morozov V., Davaasambuu D., Ganbaatar Z., Delgerbat L. et al. Modern systems of automatic control of processes of grinding and flotation of cop per-molybdenum ore. 16th IFAC Symposium on Control, Optimization and Automation in Mining, Minerals and Metal Processing. 2013. Vol. 15. Part 1. pp. 166–171. 10. Del Villar R., Desbiens A., Maldonado M., Bouchard J. Automatic control of flotation columns. Advanced Control and Supervision of Mineral Processing Plants. Advances in Industrial Control. London : Springer, 2010. DOI: 10.1007/978-1-84996-106-6_6 11. Tianyou Chai, Ding J. L., Yu Gang. Integrated optimization for the automation systems of mineral processing. IEEE Transactions on. Automation Science and Engineering. 2014. Vol. 11. pp. 965–982. DOI: 10.1109/TASE. 2014.2308576 12. Ganbaatar Z., Morozov V. V., Delgerbat L., Duda A. M. Management of processes for enrichment of copper-molybdenum ores using quality control quality. Gornye nauki i tekhnologii. 2017. No. 1. pp. 40–48. 13. CB Omni™ Fusion Online Elemental Analyzer. ThermoFisher Scientific. Available at: https://www.thermofisher.com/order/catalog/product/CBOMNIFUSION#/CBOMNIFUSION (accessed: 28.03.2025). 14. Conveyor Element Composition Analyzer (EA-SINTER). DMFC. Available at: https://ru.dfmc.cc/index.php?s=index/show/index&id=304 (accessed: 28.03.2025). 15. GEOSCAN SERIES. Scantech. Available at: https://www.scantech.com.au/product/geoscan/ (accessed: 28.03.2025). 16. SisuROCK workstation. Specim. Available at: https://www.specim.com/products/sisurock (accessed: 28.03.2025). 17. Casali A., Gonzalez G., Vallebuona G., Perez C. et al. Grindability softsensors based on lithological composition and on-line measurements. Minerals Engineering. 2001. Vol. 14, No. 7. pp. 689–700. 18. RockSense™ Enabling optimization through sense. Metso. Available at: https://www.metso.com/portfolio/rocksense/ (accessed: 28.03.2025). 19. Particle Size Analyzer RockSense. Metso. Available at: https://www.metso.com/ru/portfolio/rocksense-on-line-particle-analyzer-system (accessed: 28.03.2025). 20. The conveyor of the granulation in the stream.KONVELS. Available at: https://www.konvels.ru/index.php?mode=1&id=240 (accessed: 28.03.2025). 21. Kamenetskiy A. A., Sbezhnev R. V., Sedov A. V., Molodtsev M. S. et al. Operational control of the size and productivity of ground ore on the conveyor. Gornaya promyshlennost. 2021. No. 5-2. pp. 62–66. 22. Haavisto O., Hyöyniemi H. Reflectance spectroscopy in the analysis of mineral flotation slurries. Preprints of the Workshop IFACMMM. 2009. Viña del Mar, Chile. 14–16 October 2009. 6 p. 23. Online Elemental Analyzer – MAYA. Lyncis. Available at: https://www.lyncis.lt/online-elemental-analyzer (accessed: 31.03.2025). 24. Baryshnikova A. M., Gaft M. L. The use of a laser analyzer for sorting mineral raw materials and stabilizing raw material mixtures in real time in the production of non-ferrous metals. Zhurnal Sibirskogo federalnogo universiteta. Tekhnika i tekhnologii. 2014. No. 7. pp. 327–339. 25. Reyneke L., du Plessis F. E., van der Westhuizen G. Development and evaluation of technology for quantifying the mineral composition of process streams in the typical dry mill in the heavy mineral industry. Heavy Minerals Conf. Proc. 2003, Johannesburg, South Africa. Southern African Institute of Mining and Metallurgy. 26. Wang Qingya, Li Fusheng, Jiang Xiaoyu, Wu Shuangliang, Xu Muqiang. On-stream mineral identification of tailing slurries of tungsten via NIR and XRF data fusion measurement techniques. Analytical Methods. 2020. Vol. 12. pp. 3296–3307. 27. Metso Outotec launches Courier® 8X SL analyzer for accurate measurement of light and heavy elements in flotation circuits. Metso. Available at: https://www.metso.com/corporate/media/news/2022/10/metso-outoteclaunches-courier-8x-sl-analyzer-for-accurate-measurement-of-light-andheavy-elements-in-flotation-circuits/ (accessed: 31.03.2025). 28. Runge K., McMaster J., Wortley M., La Rosa D., Guyot O. A correlation between visiofroth™ measurements and the performance of a flotation gel. Australasian Institute of Mining and Metallurgy Publication Series. Ninth Mill Operators’ Conference. 2007. pp. 19–21. 29. The sensor system FrothSense. Metso. Available at: https://www.metso.com/ru/portfolio/frothsense-sensor-system (accessed: 31.03.2025). 30. Fastunov E. A., Sedov A. V., Ladygin M. A., Sbezhnev R. V. et al. Experience in development and implementation of machine vision for flotation froth. Gornaya promyshlennost. 2021. No. 5. pp. 57–61. 31. The installation for automatic determination of the grain composition and density of pulp products is the granulometer “Gran-P”. Uralavtomatics Engineering. Available at: http://www.uralautomatica.ru/cgi-bin/catalog/viewpos.cgi?in_id=7 (accessed: 31.03.2025). 32. Topchaev V. P., Zinina L. K., Topchaev A. V., Lapidus M. V. Industrial in-line automatic granulometer PIK-074P as the basis of automatic control and quality materials grinding control systems. Tsvetnye Metally. 2015. No. 9. pp. 48–52. 33. Granulometer PIK-074P. JSC Soyuztsvetmetavtomatika. Available at: http://www.scma.ru/ru/products/2-24.html (accessed: 31.03.2025). 34. Germanov A. A., Trushin A. A., Tikhonov N. O., Tregubov A. A. Advanced technology for automatic control of operation parameters in mineral processing. Gornyy informatsionno-analiticheskiy byulleten. 2019. No. 2. pp. 114–122. 35. Zhang Jie, Song Yongfeng, Li Xiongbing, Zhong Chenghuan. Comparison of experimental measurements of material grain size using ultrasound. Journal of Nondestructive Evaluation. 2020. Vol. 39. DOI: 10.1007/s10921-020-00675-4 36. Granulometry. Ultrasonic attenuation. OPUS. LLC Sympatec. Available at: https://sympatec.ru/granulometry/ultrasonic-extinction/opus/ (accessed: 31.03.2025). 37. Ishgen Khurelchuluun, Kruglov V. N. Industrial testing and modernization of the GRANIX ground ore measuring system. Scientific foundations and practice of processing ores and man-made raw materials: Proceedings of the International Conference. Yekaterinburg, 2016. pp. 118–121. 38. Morozov V. V., Khurelchuluun Ishgen, Delgerbat Lodoy. Control over crushing and screening with the help of visiometric analysis of ore. Tsvetnye Metally. 2021. No. 7. pp. 17–23. 39. Morozov V. V., Lodoy D., Ishgen C., Jargalsaikhan E. Application of optical analysis of ore for automated control of the ore beneficiation. IFACpapersonline. 2021. Vol. 54, Iss. 1. pp. 1224–1229. 40. Ulitenko K. Ya., Morozov V. V. Management of grinding and classification operations based on ore typing. GIAB. 2014. No. 3. pp. 162–167. 41. V. V. Morozov, L. D. Sharavunzad, Yu. P. Morozov, V. M. Shek. A method and device for visiometric analysis of ore quality. Patent RF, No. 2620103 C. Published: 23.05.2017. |