Authors: A.Y. Voronov, A.A. Khoreshok, Yu.E. Voronov, V.G. Romashko, A.Y. Voronov
Title of the article: Optimizing the indicators of the shovel-truck system operation at open-pit coal mines by quality criterion
Year: 2020, Issue: 6, Pages: 19-24
Branch of knowledge: 05.05.06 Mining machines
Index UDK: 622.23.05
DOI: 10.26730/1816-4528-2020-6-19-24
Abstract: The urgency of the discussed issue. One of the main problems of shovel-truck systems (STS) at open-pit coal mines is a rather low level of their operation quality. A powerful means of improving the STS operation quality is its optimization, carried out according to the logical-mathematical model, which includes the objective function and restrictions imposed by the STS operation specifics and the external mining environment. The generalized indicator of the STS operation quality was chosen as the objective criterion; and the main STS quality indicators were chosen as the optimized parameters. At present, the mathematical optimization model (MOM) has been developed. The next step is to research it.
The main aim of the study. Optimization of the STS performance indicators at Kuzbass open-pit coal mines by quality criterion.
The methods used in the study. Modern methods of data collection and processing, mathematical modeling, analysis and synthesis were used.
The results. On the basis of the developed mathematical model for optimizing the STS operation quality indicators, a study of the problem and analysis of the simulation results were carried out. We defined that in order to achieve a high quality of the STS operation at Kuzbass open-pit coal mines, the ratio of the rates of truck arriving to shovel and loading (functional quality criterion) should be increased by at least 25–30% and be 1,0±0,1; the ratio of the number of truck and shovel fleets should be at least 6,5; truck loading time – within 3,5–4 minutes; truck cycle time – within 24–28 minutes, which, at a material transportation distance of 3–3,5 km, makes it possible to improve the STS operation quality by at least 30–35%.
Key words: shovel-truck systems operation quality criterion optimization of indicators
Receiving date: 20.11.2020
Publication date: 29.12.2020
This work is licensed under a Creative Commons Attribution 4.0 License.