Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia:

P. F. Chernavin, Cand. Econ., Associate Professor, Dept. of Big Data Analytics and Video Analysis Methods, e-email: chernavin.p.f@gmail.com

Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia¹ ; Ferrox Ltd., Ekaterinburg, Russia²:
A. V. Malygin, Dr. Eng., Professor, Dept. of Metallurgy of Iron and Alloys¹, Deputy Director², e-mail: a.malygin@urfu.ru

PJSC Severstal, Moscow, Russia:
T. V. Detkova, Head of the Raw Materials Research Center3, e-mail: tvdetkova@severstal.com
V. Yu. Kuchin, Leading Expert (sinter production)3, e-mail: vyukuchin@severstal.com

To control the quality characteristics of the agglomerate, a simulation model based on the committee method has been proposed. A generalized model of committee structures is presented in the form of a linear programming problem with partially integer variables. The model has been tested on real data. The minimum number of informative features is determined, in the space of which it is possible to construct a decision rule that separates agglomerate areas with high consumer characteristics from areas with satisfactory quality indicators. A high-quality agglomerate had to simultaneously meet the specified limits in terms of yield and strength. As a result of the calculations, a decision rule was built in the form of a seniority committee of five members in the space of 43 features. Geometrically, this is a convex region obtained from a hyperparallelepiped when it is truncated by five hyperplanes. This decision rule can be easily programmed with simple tools and integrated into the sinter quality control system. The practical importance lies in reducing the yield of structural fines during the destruction of the sinter cake, i.e., increasing the yield of a suitable agglomerate while keeping the technological parameters within the convex region.
Contributors to the preparation of the article: A. A. Eliseev, Raw Material Research Manager of PJSC Severstal, aaeliseev@severstal.com, Yu. A. Malygin, Director of Ferrox Ltd., y.malygin@ferrox.org,
N. P. Chernavin, Assistant of the Dept. of Big Data Analytics and Video Analysis Methods of Ural Federal University, ch_k@mail.ru, F. P. Chernavin, Cand. Econ., Associate Professor of the Dept. of Controlled Systems Modeling of Ural Federal University, chernavin_fedor@mail.ru.

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