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ArticleName Product quality prediction based on geoinformation technologies
DOI 10.17580/gzh.2017.12.02
ArticleAuthor Kornilkov S. V., Alenichev V. M., Laptev Yu. V., Yakovlev A. M.

Institute of Mining, Ural Branch, Russian Academy of Sciences, Yekaterinburg, Russia:

S. V. Kornilkov, Director, Professor, Doctor of Engineering Sciences
V. M. Alenichev, Leading Researcher, Professor, Doctor of Engineering Sciences,
Yu. V. Laptev, Leading Researcher, Doctor of Engineering Sciences,
A. M. Yakovlev, Researcher


The article describes a new modern approach to the prediction of quality characteristics of a produced material using geoinformation technologies. It is proved that at all stages of mine planning and design, geometrization of a mineral-bearing field, i.e. clear imaging of a mineral body and its structure in the subsoil, has the determinative infl uence on the decision-making on the mining technology and equipment, particularly given the current trend of reduction in mineral reserves and in commercial value of the reserves at the simultaneous increase in rebellious ore quantity. The quality performance algorithm to be used in mine planning and design is presented, and the technologies that are currently in use for the quality control at all stages of production at large iron ore mining companies are reviewed. The authors illustrate the efficiency of geoinformation systems in the solution of problems connected with the prediction of mining expansion and with the stabilization of the mineral product quality for the whole period of mine operation. It is shown that the inclusion of the cluster distribution of useful components improves reliability of the mineral field mapping by process characteristics and enables estimation of mineral recovery and loss using different types of equipment at the stage of mine planning and design. The authors discuss the approaches to ore preparation systems at iron ore mining companies, which are, on the one hand, of the same type and, on the other hand, are indicative of an increased attention toward the natural differential peculiarities of minerals to be processed. This offers a framework for the development of information technologies and automated mine planning systems in the mineral mining industry.

keywords Mineral and raw materials supply basis, geoinformation technologies, mine planning and design, ore quality management, blending, pretreatment, mineral field geometrization, cluster analysis

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