Short-term planning of surface mining operations in the MINEFRAME mining and geological information system

DOI: https://doi.org/10.30686/1609-9192-2023-5S-130-134

Читать на русскоя языкеG.O. Nagovitsyn
Mining Institute Kola Science Centre of the Russian Academy of Sciences, Apatity, Russian Federation
Russian Mining Industry №5S / 2023 р. 130-134

Abstract: One of the levels in planning of surface mining operations is short-term planning during the mining phase of the deposit reserves. Algorithms and software tools for the module of automated planning of surface mining operations have been developed as part of the task to enhance the efficiency of short-term planning in the MINEFRAME mining and geological information system. This module allows to make a comparative analysis of the selected structure of complex mechanization, as well as to optimize the operation of the in-pit transport based on simulation modeling of technological processes in surface mining. The module for planning of surface mining operations increases efficiency, timeliness and accuracy of planning based on input data and limitations that characterize the operation of the enterprise. Selection of the optimal structure for complex mechanization is made based on the analysis of the received reporting data of each planning scenario according to the performance indicators of the machinery and equipment. This approach fully corresponds to the trends of digital transformation declared by the government of the Russian Federation and represents a new stage of automation and informatization of economic activities and transition to digital technologies.

Keywords: short-term planning, mining and geological information system, MINEFRAME, simulation modeling, digital 3D modeling, geotechnology, digitalization

For citation: Nagovitsyn G.O. Short-term planning of surface mining operations in the MINEFRAME mining and geological information system. Russian Mining Industry. 2023;(5S):130–134. https://doi.org/10.30686/1609-9192-2023-5S-130-134

Article info

Received: 16.10.2023

Revised: 22.11.2023

Accepted: 29.11.2023

Information about the authors

Gregory O. Nagovitsyn – Research Associate, Mining Institute of the Kola Scientific Center of the Russian Academy of Sciences, Apatity, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

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