Issue |
E3S Web Conf.
Volume 303, 2021
The 10th Anniversary Russian-Chinese Symposium “Clean Coal Technologies: Mining, Processing, Safety, and Ecology” 2021
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Article Number | 01025 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/202130301025 | |
Published online | 17 September 2021 |
Modeling the operation of mining shovel-truck systems
1 Kuzbassrazrezugol Coal Company JSC, Kemerovo, Russian Federation
2 T.F. Gorbachev Kuzbass State Technical University, Kemerovo, Russian Federation
* Corresponding author: vyue.ap@kuzstu.ru
Load and haul operations at open-pit mines are performed by shovel-truck systems (STSs). One of the main problems of STS is the low level of its operation quality. A means of improving the STS operation quality is its optimization, based on a systems approach, according to which the operation of system components is studied by analyzing the operation of the STS as a whole. The issues of optimal design of open-pit mining machines were being addressed. They all consider separate machines. Interpretations for mining STSs, however, have not been made. With regard to the optimization of the STS performance indicators, the systems approach consists in their optimal coordination with each other, provided that they meet the requirements for the STS operation. The optimization of the STS performance indicators is carried out according to its mathematical model, which includes the objective function and restrictions, represented in the form of linear regression analysis equations, directly linking the corresponding output performance indicators with the parameters being optimized. It is proposed to use generalized estimates as an optimization criterion, and single indicators of the STS operation quality as the parameters being optimized. This simplifies optimization and increases its accuracy, as well as provides the best degree of consistency of the parameters being optimized between themselves and the external environment.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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