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Automated Expert Systems in Blast-Furnace Process Control

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Metallurgist Aims and scope

Expert systems that recognize the state of a blast furnace, ensure its operational stability, and reduce the production costs are considered. An expert system based on a production model of knowledge representation is proposed. The knowledge is extracted from field data, blast-furnace operating experience, and iron production operating procedures. The informative features are represented as trajectories with pronounced trends for the knowledge base of the expert system. They were obtained using a case-based approach, field data filtration, grouping, and sorting, and an expert evaluation method.

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Authors and Affiliations

  1. National University of Science and Technology “MISiS,”, Moscow, Russia

    V. B. Trofimov

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  1. V. B. Trofimov
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Correspondence to V. B. Trofimov.

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Translated from Metallurg, Vol. 64, No. 1, pp. 17–24, January, 2020.

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Trofimov, V.B. Automated Expert Systems in Blast-Furnace Process Control. Metallurgist 64, 3–12 (2020). https://doi.org/10.1007/s11015-020-00961-6

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  • DOI: https://doi.org/10.1007/s11015-020-00961-6

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