Intelligent System for Assessing the Quality of Ore
Ivaschuk O.D. Nesterova E.V. Igrunova S.V. Ivaschuk O.O. Fedorov V.I. Rodionov A.Y.
December 2024Pleiades Publishing
Scientific and Technical Information Processing
2024#51Issue 6571 - 576 pp.
Abstract—: This paper proposes an integrated approach to the selection of technological solutions for ore preparation, allowing for a combination of intellectual and quantitative methods to justify decisions concerning the management of mining and mineral processing. This intelligent system includes a database for the creation of optimal decisions, models based on neural networks and classical mathematical methods, technical means, technological operations, and organizational techniques that allow for ore quality management measures. A new approach to the classification of fragments of ore fractions is proposed, based on a neural network that has the functionality of finding mineral grains of ore in an image with a subsequent assessment of the degree of its disclosure, making it possible to increase the efficiency of image recognition of ore sections by at least 5% relative to the analytical method of ore analysis.
integrated approach , intelligent system , neural network , ore beneficiation
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Federal State Autonomous Educational Institution of Higher Education “Belgorod National Research University,”, Belgorod, Russian Federation
Yessenov Caspian University of Technology and Engineering, Aktau, Kazakhstan
Federal State Autonomous Educational Institution of Higher Education “Belgorod National Research University
Yessenov Caspian University of Technology and Engineering
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