Converter steelmaking process uses high-performance processing plants and a high level of process automation. Complex multi-stage processes typically use many factors that have effect both on individual stages of the processes and on how a combination of the processes runs as a whole. This makes it necessary to select and/or develop control methods for the converter process having no full current data on process parameters and effects of random disturbances. Use of artificial neural networks is the most effective method available now for analyzing and predicting parameters of different processes (including converter process). This article deals with an algorithm for oxygen measurement based on chemical analysis of steel and process history through some period, using an artificial neural network and machine learning. Initial data were reviewed using correlation and regression analysis, the artificial neural network architecture chosen is reasoned as the most appropriate for the objective on hand and the results are analyzed. The element measurement accuracy achieved is satisfactory, which makes the resulting artificial neural network usable in an automation system for testing purposes. Network performance can be improved with the help of experts in the subject area, whose expertise can be used to correct the model.
Training of personnel for industrial enterprises of a single-industry town is an opportunity for the stable development of the local labor market. As a rule, single-industry towns of our country are mechanical engineering or coal-metallurgical towns. Nizhny Tagil is no exception. On its territory there are metallurgical, mining and machine-building enterprises. Colleges and universities that train specialists for town-forming enterprises can be a driver for the stable functioning of a single-town economy. For this, it is necessary to adapt the content of educational programs to the actual needs of employers. The article describes a number of problems that representatives of educational institutions had to solve in the process of interaction with an employer to update the content of education. Such problems were: difficulties in visiting enterprises, in particular, defense (machine-building) ones, ambiguity in the interpretation of the concept of ‘competence’ by teachers and employers, the difficulty of dividing workers by education levels on the part of employers. A simplified version of the employer survey form is proposed. It allows to determine the priority areas in the training of personnel for the industry.
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