This article discusses modern modeling technologies which open up new capabilities for creating a digital platform for open pit mining management. The specific details of the construction of an intelligent digital platform for the management of transport processes during mineral mining are discussed. A brief overview of the methods and tools for modeling technological processes in open pit mining is given. The stages to be overcome on the path of digital transformation of mines using dynamic 3D models are presented. It is proposed to use software environments of the gaming industry platforms and virtual reality systems as tools for the dynamic 3D modeling of objects. The classes of agents are introduced for the convenience of structuring the tasks to be solved. The basic functional and instrumental elements of the intelligent platform being developed at the present time are given, and also a simplified structure of the technological process control system in an open pit mine, including the prediction module, is presented. The principles of work are described, and the advantages of the specific tool for creating digital 3D models are also discussed. The results obtained in modeling a stage of a transport cycle in an open pit mine are reported. The research was supported by the Russian Science Foundation, Grant No. 19-17-00184.

This work is devoted to the construction and analysis of the functioning of energy efficiency management systems for the technological processes of mining industries. The main idea of this work is to substantiate and describe an approach to the intellectualization of data processing methods and tools used in the operation of energy efficiency management systems. This paper provides a brief overview of the problems of implementing the ISO 50001 standard and provides a justification for the need to bring the energy efficiency management systems prescribed by the standard to an automated form. Functional requirements for the construction of such automated systems for mining industries, considering the use of Industry 4.0 technologies, are formulated. A structural–functional model of the conceptual architecture of the proposed system is given. The problems of the direct integration of computational methods of data mining for the implementation of the required functions are shown. A statistical analysis of the technological information of 11 enterprises is presented, confirming the described problems and the validity of the stated requirements for building the system. Based on the results of the work, steps to eliminate problems and further plans for the modernization of energy efficiency management systems in the industry have been identified.

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The article is devoted to methods and models of designing systems for the digital transformation of industrial enterprises within the framework of the Industry 4.0 concept. The purpose of this work is to formalize a new notation for graphical modeling of the architecture of complex large-scale systems with data-centric microservice architectures and to present a variant of the reference model of such an architecture for creating an autonomously functioning industrial enterprise. The paper provides a list and justification for the use of functional components of a data-centric microservice architecture based on the analysis of modern approaches to building systems and the authors’ own results obtained during the implementation of a number of projects. The problems of using traditional graphical modeling notations to represent a data-centric microservice architecture are considered. Examples of designing a model of such an architecture for a mining enterprise are given.