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 article considers principles of construction of a digital platform for the intelligent control over transportation process flows in opencast mineral mining. The scope of discussion encompasses approaches to the digital platform architecture and structuring of data arrays by data log models and semantic schemes used in formation of special datasets for machine learning. The authors distinguish five subsystems (blocks) as a framework for the architecture of the digital platform. The general scheme of interaction between the basic components during solution of functional problems at various degree of operability is examined. Some attention is paid to the operational control of autonomous or partly autonomous objects of the mining and transportation system (MTS). The functional structure is developed for the procedure of operational control over MTS based on modules of the monitoring, analysis and control blocks. Some functional problems to be solved to ensure concordant displacement of autonomous agents are described. It is shown that efficient functioning of the coordination and control block meant to serves as a dispatcher control in the future requires joint utilization of models from expert and computational classes. Variants of modeling interaction between objects in the problem of centralized intelligent control of autonomous transports in opencast mines are discussed. The authors briefly describe the applied concept of physical modeling using a laboratory test ground which simulates topology of opencast roads, and functionally similar physical models. The modeling results and the basic stages of the future research are described.The study was supported by the Russian Science Foundation, Project No. 19-17-00184.

The article discusses the Case-Based Reasoning method which enables solving new problems that may arise during decision-making by using or adapting solutions of the similar known problems on the basis of accumulated data and knowledge on past situations or cases contained in a knowledge base. The metrics of similarity between the parameters of a current situation and previous cases, and the methods to retrieve and adapt the cases are described. The case information model used for the process management is presented and exemplified. The conditions and ranges of efficient case-based reasoning application in the socio-technical system control in case of nonstationary, nonlinear and sluggish processes are discussed. The authors propose the procedure for searching similar cases using the classical metrics and the Random Forest method, and describe the generalized control of a complex process or an object using the concepts of the industrial internet of things and the case-based reasoning.