Information modeling system for assessing instability of blast furnace functioning

The article discusses the development of an information modeling system for assessing the instability of a blast furnace. The presented approach is based on the application of mathematical models and methods for analyzing the parameters of the blast furnace process, which makes it possible to assess the impact of technological and organizational factors on the furnace stability. The developed system is designed for automated collection, processing and analysis of data in real time, as well as forecasting technological deviations. The methodology is based on the use of integral stability indicators, including the technical and economic characteristics of smelting, the properties of raw materials, the parameters of blast, gas dynamic, thermal and slag modes. To determine the integral indicators, a set of controlled and calculated features is used, ranked according to the degree of significance. The main modules of the system include functional blocks for data collection, calculations, analysis and visualization. The system architecture is implemented on the basis of a client-server approach, which provides the possibility of integration with existing metallurgical production management systems. The practical implementation of the system makes it possible to improve the performance of blast furnace smelting, reduce fluctuations in the parameters of the technological process and improve the quality of the resulting cast iron. The above calculation examples confirm effectiveness of the developed tool. The presented results may be useful for the specialists in the field of blast furnace production automation, as well as for the researchers involved in analysis and forecasting of instability of technological processes.