The paper presents a brief description of engineering and scientific problems which arise at the steel plant PJSC "ArcelorMittal Kryvyi Rih" when organizing a repair workshop to fix industrial equipment. The attention is paid to innovative methods of repair process based on intelligent agents and Industry 4.0 principles.

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The article proposes representation of crushing and grinding complex in form of a system with distributed parameters of the reducing function of the processed raw materials size in order to increase the energy efficiency of entire ore preparation process. Despite the fact that many different automated control systems for domestic and foreign production technological process are now used in the ore preparation processes, there is still a need to solve the problems of optimal control of such objects in order to both reduce energy costs and improve the quality of the final product. In terms of energy consumption, grinding processes are superior to crushing processes, so it is necessary to consider the crushing and grinding complex as a whole to increase the whole process energy efficiency. Since the processes of crushing, grinding and classification are purely random and at any time are characterized by transient probabilities, and the crushing and grinding complex occupies a large area and is geographically distributed in space, it should be considered as a system with distributed parameters of raw material size reduction, recyclable. Redistribution of loads between the individual components of this complex in accordance with the current characteristics of processed ore and the state of process equipment allows to reduce the load on the final stage - it is grinding, which in turn contributes to the overall reduction of energy consumption. The peculiarity of this approach is the need for the formation of spatial-temporal controls on basis of spatially distributed control of the object, the use of appropriate feedback signals and regulators with spatially distributed control effects.