With the development of the energy control system of iron and steel enterprises, the urgency of solving the problem of the resource and energy saving control of steelmaking processes increases, taking into account the reconfiguration of production to a new task, intensification of the processes of recycling of raw materials, as well as reducing the waste intensity of production. The way to solve the problem of resource and energy saving of steelmaking production is the creation of a computer system. It allows one to analyze the state of the refractory converter lining, calculation of the material and thermal balances, the amount of slag-forming materials, the quantitative characteristics of slag corrosion, as well as predict the phase and chemical composition of the slag in order to impart the properties necessary in the production of mineral binders and other building materials. The computer system allows one to identify complex fuzzy relationships between process parameters and issue recommendations on the resource and energy saving control of the converter process, taking into account the waste recycling. The testing of the computer system, according to the industrial data of the enterprises CherMF (PJSC Severstal) and PJSC NLMF, confirmed its operability and the possibility of its use at iron and steel enterprises.

This electronic document is a “live” template and already defines the components of your paper [title, text, The structure of an intelligent system allowing on the basis of a neural network to analyze the results of laser scanning of the steelmaking converter refractory lining, to determine the areas subject to the most severe wear, to calculate the amount of materials for repair work, and also to predict the maximum duration of the converter operation during one campaign was presented in the article. The intellectual system is developed using modern information technologies and is oriented to work in various operating systems, including using modern mobile devices through the web interface. The use of the system in steelmaking plants allows increasing the life of accident-free operation of converters, significantly reducing the time spent processing laser scanning results and examining the working layer of refractory lining, as well as improving the professional level of the control and production personnel of steelmaking.

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.

In oil refining, it is a priority to intensify coking. The coking of heavy petroleum residues permits the production of coke with different types of micros