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Название Construction and functioning of digital platform for transportation control in opencast mines
DOI 10.17580/gzh.2019.11.15
Автор Temkin I. O., Myaskov A. V., Konov I. S., Deryabin S. A.
Информация об авторе

National University of Science and Technology—MISIS, Moscow, Russia:

I. O. Temkin, Head of Chair, Professor, Doctor of Engineering Sciences, igortemkin@yandex.ru
A. V. Myaskov, Director of College of Mining, Professor, Doctor of Economic Sciences
I. S. Konov, Senior Lecturer
S. A. Deryabin, Head of Laboratory


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.

Ключевые слова Digital transformation of industry, intelligent geotechnologies, intelligent mining practice, digital platforms, autonomous robotic systems, opencast mining
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