Computer System of Industrial Data Mining for Resource-Saving Control of Steel-Smelting Converter Production

In the article the functional structure of the computer system allowing exercising control of the slag mode of converter melting on the basis of the intellectual analysis of industrial data and monitoring of trends of key parameters of steel-smelting process is offered. The basis of system is made by model of neural network for forecasting of aggression of slag fusion and assessment of its influence on fire-resistant lining of the steel-smelting converter. By results of the intellectual analysis of industrial data the system issues recommendations about ways of decrease in aggression of slag and rationing of temperature conditions of work of refractory materials in the converter for delay of speed of wear and protection of fire-resistant lining against destructions. Use of computer system at the metallurgical enterprises allows to increase firmness of fire-resistant linings of thermal units and also to raise an accident-free resource of their work.