STUDY OF THE EFFICIENCY OF USE OF EXTRACTION AND LOADING EQUIPMENT IN THE CONDITIONS OF “YERISTIVSKY MPP” LTD

Authors

DOI:

https://doi.org/10.32782/3041-2080/2024-1-13

Keywords:

open-pit, extraction and loading equipment, excavator, load cycle time, automated mining transport management system

Abstract

The purpose of the paper is to increase the efficiency of the use of excavator equipment at the Yeristivsky openpit due to the introduction of information technologies. The following methods were used to solve the problems in the paper: analysis and synthesis of scientific sources of information for the study of the scientific foundations of the use of extraction and loading equipment, analysis of world experience in the effective use of extraction and loading equipment, analysis of the experience of the influence of automated mining transport control systems on extraction and loading equipment; methods of regression analysis, economic-mathematical modeling and technicaleconomic assessment. The scientific novelty of the research results lies in the establishment of factors that affect the productivity of the extraction and loading equipment. The practical significance lies in the possibility of using research results by mining enterprises and project organizations when planning mining operations. Thus, the paper compares the performance of the excavator equipment used in the conditions of the Yeristov open-pit, as a result of which it was established that the expected and actual performance have certain differences due to the indicator of the load cycle time. As a result of research, it was established that the cycle time at a turning angle of 20˚ to 30˚ will be minimal and will increase the productivity of the dragline. In addition, in specific mining and technical conditions, it was established that the implementation of the automated management system “WENCO” made it possible to increase the productivity of the mining transport complex and, in general, improve the technical and economic performance of the pit.

References

Hendricks C., Peck J., Scoble M. Machine performance monitoring in surface mines. Mining Engineering. 1992. Vol. 44, no. 3. P. 243–250.

Osanloo M., Hekmat A. Prediction of shovel productivity in the Gol-e-Gohar iron mine. Journal of Mining Science. 2005. Vol. 41, no. 2. P. 177–184.

Ercelebi S.G., Bascetin A. Optimization of shovel-truck system for surface mining. Journal of the Southern African Institute of Mining and Metallurgy. 2009. Vol. 109, no. 7. P. 433–439.

Fujita K., Yasuda T., Imaie K. Ultra large hydraulic excavators and dump trucks for large open-pit mines. Hitachi Review. 2011. Vol. 60, no. 5. P. 267–271.

Nel S., Kizil M.S., Knights P. Improving truck-shovel matching. 35th APCOM Symposium: Wollongong, NSW, 2011. P. 381–391.

Kirmanli C., Erceleni S.G. An expert system for hydraulic excavatorand truck selection in surface mining. The Journal of the Southern African Institute of Mining and Metallurgy. 2009. Vol. 109, no. 12. Р. 727–739.

Vemba M.M.D.S. Loading and transport system at SMC-optimization. The Journal of the South African Institute of Mining and Metallurgy. 2004. Vol. 104, no. 3. Р. 139–147.

Technology improves shovel productivity. Engineering and mining journal. 2018. Vol. 219, no. 5. Р. 46–49. URL: https://www.e-mj.com/flipbooks/may-2018-2/?showpage=48.

Published

2024-09-10