Development of intelligent and expert system for automation of processes of mining and transport works on the basis of satellite navigation

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.255720

Keywords:

open pit mining, dispatching system, rock mass, skip hoist, counterweight

Abstract

The object of research relates to the field of control systems for mining and transport machines in the development of deposits of solid minerals in an open way. The problem of reducing the cost of transporting 1 ton of rock mass and increasing the efficiency of these machines is being solved. The article develops an expert system for dispatching mining vehicles with a subsystem for selecting their innovative appearance with the ability to control their operational parameters, taking into account the stochastic conditions of the developed sections of the rock mass. The mathematical model for constructing the prospective appearance of a mining and transport machine, based on its functional and economic assessment, is reduced to solving the problem of optimizing the generalized criterion of the required efficiency. As an example of private indicators of their effectiveness in operation, there is an expert analysis of the evaluation of solution options, for example, structural-kinematic and operational parameters of these machines, etc. Innovative designs of a skip body of any size of its carrying capacity of single-rope and multi-rope steeply inclined skip hoists for highly profitable mining in quarries are substantiated. unlimited values of their depth and annual productivity. In the proposed study, the values of the forces of resistance to the destruction of a section of a rock mass, obtained by analytical and experimental methods, are refined by finding the optimal Kalman coefficient, which increases the efficiency of using mining and transport machines. The proposed methods provide the creation of innovative mining and transport machines with the ability to control their operational parameters, taking into account the stochastic conditions of the developed section of the rock mass

Supporting Agency

  • Since we began writing this research in 2018, many people have given us invaluable help and have been influential in shaping our thoughts on how to best organize . We want to say A BIG THANKS to everyone who has helped us from the earliest first drafts of this article, up to this final edition. Special thanks go out to: 1. Professor Marco Ceccarelli (University of Rome Tor Vergata, Italy). 2. Yerzhan Syrgaliyev (Nazarbayev University Research and Innovation System, Kazakhstan). 3. Professor Tuleshov Amandyk (Institute of Mechanics and Engineering named after U. A. Joldasbekov, Kazakhstan). 4. professor Jomartov Asylbek (Institute of Mechanics and Engineering named after U. A. Joldasbekov, Kazakhstan).

Author Biographies

Aidarkhan Kaimov, Al-Farabi Kazakh National University

PhD, Information Technology Specialist

Department of Information Systems

Abylay Kaimov, Institute of Mechanics and Engineering named after U. A. Joldasbekov

PhD, Researcher of Mechanics

Department of Mechanics

Suleimen Kaimov, Institute of Mechanics and Engineering named after U. A. Joldasbekov

PhD, Researcher of Mechanics

Department of Mechanics

Talgat Kaiym, Military Engineering Institute of Radio Electronics and Communications of the Ministry of Defense of the Republic of Kazakhstan

PhD, Professor

Department of Mechanics

Altynay Primbetova, Alfa Bank

Master, Head of Department

Big Data Development Department

Orken Mamyrbaev, Al-Farabi Kazakh National University

PhD, Information Technology Specialist

Department of Information Systems

Saule Nysanbayeva, Al-Farabi Kazakh National University

PhD, Information Technology Specialist

Department of Information Systems

Karakoz Serikbayeva, Rochester Institute of Technology

Master in Information Technology

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Published

2022-04-30

How to Cite

Kaimov, A., Kaimov, A., Kaimov, S., Kaiym, T., Primbetova, A., Mamyrbaev, O., Nysanbayeva, S., & Serikbayeva, K. (2022). Development of intelligent and expert system for automation of processes of mining and transport works on the basis of satellite navigation. Eastern-European Journal of Enterprise Technologies, 2(2 (116), 13–26. https://doi.org/10.15587/1729-4061.2022.255720

Issue

Vol. 2 No. 2 (116) (2022): Information technology. Industry control systems

Section

Information technology

License

Copyright (c) 2022 Aidarkhan Kaimov, Abylay Kaimov, Suleimen Kaimov, Talgat Kaiym, Altynay Primbetova, Orken Mamyrbaev, Saule Nysanbayeva, Karakoz Serikbayeva

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