COAL PREPARATION
Original Paper
UDC 622.795.4:658.5 © D.A. Klebanov,E.A. Knyazkin, M.A. Makeev, 2023
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2023, № 12, pp. 92-97
DOI: http://dx.doi.org/10.18796/0041-5790-2023-12-92-97
Title
PREDICTIVE ANALYTICS IN QUALITY MANAGEMENT AT MINING AND PROCESSING OPERATIONS AS EXEMPLIFIED BY COAL MINING AND PROCESSING
Authors
Klebanov D.A.1,Knyazkin E.A.1, Makeev M.A.2
1 Research Institute of Comprehensive Exploitation of Mineral Resources of Russian Academy of Sciences (IPKON RAS), Moscow, 111020, Russian Federation
2Piklema LLC, Moscow, 107078, Russian Federation
Authors Information
Klebanov D.A., PhD (Engineering), Head of Laboratory of Intelligent Monitoring Methods of Hydraulic Engineering Installations, e-mail: Klebanov_d@ipkonran.ru
Knyazkin E.A., PhD (Engineering), Head of the Laboratory of Environmentally Balanced Subsoil Development
Makeev M.A., Manging Director, Research Associate, e-mail: mm@piklema.com
Abstract
The article discusses the challenges of controlling charge preparation and coal washing while mining mineral deposits. It is pointed out that quality control of different technological processes of the mining system leads to delays or unaccounted quality from 1500 to 5000 tons, which affects the output parameters of the commercial products of the preparation plant. A hypothesis of optimizing the mining system operation is formulated, which consists in the fact that based on the analytics of coal quality data collected in a single system it is possible to determine the types of possible losses and their quantitative index, as well as to work out solutions aimed at harmonizing the coal preparation processes and technological processes of the mining system. The formulated hypothesis has been tested and it has been proved that timely determination of loss types based on analyzing the technological process data can significantly increase the efficiency of mining operations and preparation when managing the mining engineering system. An approach is proposed to prioritizing the tasks of digitalization of mining engineering systems and coal preparation in coal mining. The idea of evolutionary formation of business processes at the interface between the surface mine and the coal preparation plant is shown against the background of IT tools development.
Keywords
Mining engineering system, Quality management, Ore flows, Big data, Data analytics, Production optimization, Coal preparation, Warehouse management, Advisor to dispatcher, Virtual analyzer.
References
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Acknowledgements
The research was supported by the Russian Science Foundation Grant No. 22–17-00142, https://rscf.ru/project/22-17-00142/.
For citation
Klebanov D.A.,Knyazkin E.A. &Makeev M.A. Predictive analytics in quality management at mining and processing operations as exemplified by coal mining and processing. Ugol’, 2023, (12), pp. 92-97. (In Russ.). DOI: 10.18796/0041-5790-2023-12-92-97.
Paper info
Received September 18, 2023
Reviewed November 10, 2023
Accepted November 27, 2023
