Creating a digital twin of crushing and milling equipment reconditioning process

Modern machine building requires increasingly much supply of ferrous metals. The ferrous metal production needs raw materials in the form ore prepared at mining and processing plants. The uniqueness of mining and processing equipment is stipulated by its large size and weight; for this reason, maintenance and repair of such equipment is undertaken directly at installation sites. For the repair implementation, the process equipment is designed and installed at the future operation sites. It is important to ensure optimal arrangement of repair operations. The complexity of such work lies in the informational disconnect of data on technological capabilities of the available equipment of production systems at separate plants and their divisions, as well as in the low-level automation of design engineering and optimization of design solutions. The way out is creation of a digital twin of maintenance and repair processes, ensuring an integrated approach to production problem solution toward reliable functioning of equipment of a mining and processing plant. The digital twin makes it possible to shape a general production system based on production systems of separate repair organizations. The maintenance and repair processes are presented as a set of mathematical models which adequately describe how the processes run in the course of time. The digital twin provides information on a production system at any moment of time with regard to various events. The modeling uses the machinescale time; thus, the information is obtained on an instantaneous basis. This allows modeling various scenarios of maintenance and repair without delays for finding an optimal alternative. Alongside with mathematical modeling, it is required to develop relevant software programs. The supervision and control of maintenance and repair used the existing systems of project planning and management. In the proposed approach, the data are automatically fed from the computer-aided design system, which noticeably reduces workload of project development.

Butko A. O., Kuznetsov P. M., Khoroshko L. L. Creating a digital twin of crushing and milling equipment reconditioning process. MIAB. Mining Inf. Anal. Bull. 2020;(8):130-144. [In Russ]. DOI: 10.25018/0236-1493-2020-8-0-130-144.

A.O. Butko¹, Cand. Sci. (Eng.), Assistant Professor,
P.M. Kuznetsov¹, Dr. Sci. (Eng.), Professor, e-mail: profpol@rambler.ru,
L.L. Khoroshko¹, Cand. Sci. (Eng.), Assistant Professor, Head of Chair,
¹ Moscow Aviation Institute (National Research University), 125993 Moscow, Russia.

P.M. Kuznetsov, e-mail: profpol@rambler.ru.

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