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  • The use of information in expert systems in the steel industry on the basis of intelligent data processing and knowledge

    The work is devoted to the study of the main aspects of the use of expert systems in the metallurgy industry. An overview of current production problems is given, as well as prospects for the development of automatic decision-making systems based on formalized expert knowledge using modern data processing tools

    Keywords: production processes, metallurgy, control actions, expert systems, technological personnel, production indicators, software implementation, modeling, interference, training complexes

  • The structure and mathematical models of the information system "Аluminum melt Mixer"

    An important aspect in the creation of information and training systems for training and advanced training of technological personnel of industrial enterprises is the development and implementation of mathematical models of the studied technological processes at the stage of forming algorithmic and software of such systems. The considered information and training system is associated with the blending and casting of aluminum alloys of various grades. The system contains the necessary amount of theoretical information that describes the basic principles of aluminum production using the most well-known technological operations aimed at the formation of the required metal alloys with a given chemical composition. The information-training system is based on a mathematical model of the technological process, in the development and description of which both the principles of informational similarity and the physicochemical laws are used using experimental-statistical modeling methods. The structure of the information and training system consists of structural units that interact logically with each other, which allow the formation and solving of various technological problems of melting aluminum melting in smelting furnaces. Each unit has a certain meaning and performs the required amount of load. The system consists of seven important and weighty structural units. The interactions of the studied production object with the control actions and external disturbances make it possible to form the initial parameters of the task, which in turn become the basis for user interaction with the training system. The user interface of the system allows visualizing the aspects of technological change that are taking place and storing the student’s corrective actions for further analysis in the computer’s memory. If necessary, the system can provide the user with the opportunity to use the potential of an interactive assistant, in the event that he is difficult or unable to determine the weight of the next corrective adjustment. The interactive assistant based on the current parameters of the technological problem is able to determine and suggest to the user the use of the most optimal control action for the best solution of the problem. Thus, when introducing these principles of training, the system should show its effectiveness by reducing the final cost of the finished metal products, by reducing errors in technological operations and empirical calculations of the masses of the components used, increasing its consumer qualities.

    Keywords: mathematical model, model-simulator, technological problem, system structure, physico-chemical patterns, chemical composition, control actions, control mode

  • Algorithmic and software information and training system " Аluminum melt Mixer"

    The developed information and training system is intended for vocational guidance, initial training and advanced training of technological personnel of industrial enterprises associated with batching and pouring aluminum alloys of various brands. The system contains the necessary amount of theoretical information that describes the basic principles of aluminum production using the most well-known technological operations aimed at forming the required metal alloys with a given chemical composition. The functional of the system is close to reality, using only proven empirical data, as well as reliable models of the internal processes of the system, created using commonly known physical, chemical and mathematical laws. The process of interaction with the training system is controlled by an algorithm that monitors the order of execution of the main technological stages of aluminum production. The training system allows you to load previously prepared values ​​or to customize the new initial parameters of the system in the "Administrator" mode, corrected for various restrictions and interference that occur in production. The approach to the training of technological personnel is based on the use of the standard method of learning "trial and error", which allows a multiple search for a solution to the same or other similar technological problems in the formation of a metal alloy with specified chemical characteristics. The user's work with the training system is limited in time and is accompanied by the calculation of the total amount of production costs, taking into account the cost and availability of various technological operations and materials. To verify the results of the solution, an algorithm is used to find the optimal version of the ratio of the initial components of the charge, aimed at obtaining the best solution for the technological problem with the lowest cost of melting the required volume of metal. The search for the best variant of the solution of the technological problem of blending is calculated using the method of sequential optimization, in which the solution of the subtask in the previous step of calculations becomes the basis for subsequent calculations. Thus, the use of the information and training system makes it possible to improve the quality of final finished products, reduce energy costs of production, and reduce the prime cost of smelting each ton of metal by reducing the time indices of production and more rational use of material resources.

    Keywords: information and training system, technological personnel, process modeling, aluminum grade, charge, alloying, chemical composition, cost of production, finished products