Intellectual system supports making decision on management of blast furnace smelting
Journal Title: Комп’ютерне моделювання: аналіз, управління, оптимізація - Year 2017, Vol 1, Issue 1
Abstract
Annotation. In this paper are presented functional and algorithmic features of the intellectual system, which were developed in Z .I. Nekrasov Iron and Steel Institute for supporting in making decision on the management of blast furnace smelting. The ideology of building an intelligent system is based on the diagnostics and decision-making on the management of the melting process on the basis of the calculation of complex criteria for evaluating processes, which distinguishes it from known models systems. In complex criteria are combined technological parameters and output data of automated process control systems. In the system are proposed and implemented two methodological approaches for creation complex indicators, on the basis of which were developed evaluation criteria for: thermal state of blast furnace smelting, gas dynamic regime, shape and location of the plastic zone, efficiency of the axial coke vent, effects of melts on the lining of a metal receptacle and integral index of blast furnace charge. It is shown that the main structural complexes of the system are: control-measuring (database); knowledge base; Calculated; Model; Diagnostic and complex of recommendations formation for the management of blast-furnace smelting. Adaptation of the developed intellectual system was carried out in the technological conditions of the work of blast furnace No. 9 PJSC «ArcelorMittal Kryviy Rih». Also is justified the choice of the basic operating modes of the furnace and the experimental periods for approbation of the system. The values of the evaluation criteria for smelting processes were calculated and the optimum ranges of variation were determined. The diagnoses of furnace stroke were made in the periods of its operation and were developed recommendations for controlling the smelting process.
Authors and Affiliations
И. Г. Муравьева, Д. Н. Тогобицкая, Ю. С. Семенов, Е. И. Шумельчик, А. И. Белькова, Е. А. Белошапка
Keywords
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