Information modelling system for diagnostics of different types of blast-furnace smelting deviations from normal conditions

Abstract

A logic basis for assessment of normal progress of blast-furnace smelting and identification of different types of deviations from normal smelting conditions were developed, including peripheral gas stream, central (axial) gas stream, hot and cold run, tight furnace operation, upper and lower suspension of burden in the blast furnace. Both the complex of controlled characteristics and design parameters of the model-based decision support system (URFU-MMK model of blast-furnace process) are used for assessment. The main complex design parameters for diagnostics of blast-furnace smelting progress characterize heat, blast, gas dynamic and slag conditions, blast-furnace smelting rate in terms of quantity. Identification of Blast-Furnace Smelting Deviation Type software was developed in accordance with modern principles of application program development (functionality, expandability, database integration, user-friendly interface, security, data estimation). It is efficient to use the developed software in computer decision support systems for blast-furnace smelting control in real-time mode.