
SURFACE MINING
Original Paper
UDC 622.23.05 c Yu.E. Voronov, A.Yu. Voronov, D.M. Dubinkin, O.S. Maksimova
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2024, № 7, pp. 62-67
DOI: http://dx.doi.org/10.18796/0041-5790-2024-7-62-67
Title
OPTIMIZING THE PERFORMANCE INDICATORS OF AN AUTONOMOUS SHOVEL-TRUCK SYSTEM AT AN OPEN-PIT COAL MINE
Authors
Yu.E. Voronov, A.Yu. Voronov, D.M. Dubinkin, O.S. Maksimova
Kuzbass State Technical University, Kemerovo, 650000, Russian Federation e-mail: ddm.tm@kuzstu.ru
Authors Information
Voronov Yu.Е. – Doctor of Engineering Sciences, Professor, Chief Researcher of the Scientific Center “Digital Technologies”, Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: vyue.ap@kuzstu.ru
Voronov A.Yu. – PhD (Engineering), Associate Professor, Associate Professor of the Department of Electric Drive and Automation, Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: voronovayu@kuzstu.ru
Dubinkin D.M. – PhD (Engineering), Leading Researcher Associate, Associate Professor of the Department of Mining Machines and Complexes, Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: ddm.tm@kuzstu.ru
Maksimova O.S. – Junior Researcher of the Scientific Center “Digital Technologies”, Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: maksimovaos@kuzstu.ru
Abstract
Remotely controlled autonomous material transportation systems have long been used in open-pit mining operations abroad. The use of unmanned haul trucks as part of motor transport fleets in mining shovel-truck systems (STS), according to the results of research and their practical testing, has shown the advantages of autonomous STSs compared to conventional ones. A comparative assessment of the operation quality of conventional and autonomous STSs showed that the STS operation quality at all mines in the autonomous version is higher than the existing STSs from 12% to 59%, amounting to 42% in total. This indicates a significant increase in the STS operation quality when unmanned trucks are used as part of STS vehicle fleets. An even greater effect is achieved by optimizing the performance of autonomous STSs. The work used standard methods of parameter optimization, methods of statistical data processing, analysis and synthesis. The degree to which the STS operation quality can be improved by optimizing its performance indicators has been established.
Keywords
Open-pit mine; shovel-truck system; unmanned mining motor transport; performance indicators; optimization.
References
1. Сравнительная оценка качества действующих и роботизированных экскаваторноавтомобильных комплексов разрезов / Ю.Е. Воронов, А.Ю. Воронов, Д.М. Дубинкин и др. // Уголь. 2023. № 11. С. 65-71. DOI: 10.18796/0041-5790-2023-11-65-71. Voronov Yu.E., Voronov A.Yu., Dubinkin D.M., Maksimova O.S. Dispatching in truck-shovel systems with unmanned transport at openpit mines. Ugol’. 2023;(11):65-71. (In Russ.). DOI: 10.18796/0041-5790-2023-11-65-71.
2. Brown C. Autonomous vehicle technology in mining. Engineering & Mining Journal. 2012;213(1):30-32.
3. R eport 2. Autonomous mining equipment. New Technology & Innovation. RFC Ambrian, May 2019. 36 p.
4. ЦифроваяэкономикаЗападнойАвстралии – умныегорнорудныеинефтегазовыепредприятия, железныедороги, морскиепортыиформализованныеонтологии / И.А. Соколов, А.С. Мишарин, В.П. Куприяновскийидр. // International Journal of Open Information Technologies. 2018. Vol. 6. № 6. С. 44-62. Sokolov I.A., Misharin A.S., Kupriyanovsky V.P., Pokusaev O.N., Larin O.N. The digital economy of Western Australia – smart mining, oil, gas enterprises, railways, seaports, and formalized ontologies. InternationalJournal of Open Information Technologies. 2018;6(6):44-62. (In Russ).
5. G olbasi O. Equipment replacement analysis of manual trucks with autonomous truck technology in open pit mines / O. Golbasi, K. Dagdelen. APCOM 38. Golden, COL: Colorado School of Mines, 2017, рр. 19-9–19-20.
6. Parreira J. An interactive simulation model to compare an autonomous haulage truck system with a manually-operated system. PhD thesis, Vancouver, The University of British Columbia, 2013, 228 p.
7. Мониторингдинамическогосостоянияавтономныхтяжелыхплатформнакарьерныхмаршрутахгорнорудныхпредприятий / С.Г. Костюк, И.В. Чичерин, Б.А. Федосенковидр. // Устойчивоеразвитиегорныхтерриторий. 2020. Т. 12. № 4. С. 600-608. DOI: 10.21177/1998-4502-2020-12-4-600-608. Kostyuk S.G., Chicherin I.V., Fedosenkov B.A., Dubinkin D.M. Monitoring of the dynamic state of autonomous heavy platforms on quarry routes of mining enterprises. Ustojchivoe razvitie gorvykh territorij. 2020;12(4):600-608. (In Russ.). DOI: 10.21177/1998-4502-2020-12-4-600-608.
8. Хазин М.Л. Роботизированная техника для добычи полезных ископаемых // Вестник Магнитогорского государственного технического университета им. Г.И. Носова. 2020. Т. 18. № 1. С. 4-15. Khazin M.L. Robotic equipment for mining operations. Vestnik Magnitogorskogogosudarstvennogo technicheskogo universiteta imeni
G.I. Nosova. 2020;18(1):4-15. (In Russ). 9. Оптимизация параметров экскаваторно-автомобильных комплексов разрезов / Ан.Ю. Воронов, А.А. Хорешок, Ю.Е. Воронов и др. // Горная промышленность. 2022. № 5. С. 92-98. Voronov An.Yu., Khoreshok A.A., Voronov Yu.E., Dubinkin D.M., Voronov Ar.Yu. Optimization of parameters of shovel-truck systems at open-pit coal mines. Gornaya promyshlennost. 2022;(5):92–98. (In Russ).
10. Burt C.N., Caccetta L. Match factor for heterogeneous truck and
loader fleets. International Journal of Surface Mining, Reclamation and Environment. 2007;21(4):262–270.
Acknowledgements
This work was done with the financial support of the Ministry of Science and Higher Education of Russian Federation under the agreement dated 30.09.2022 № 075-15- 2022-1198 with FSBEI HE “T.F. Gorbachev Kuzbass State Technical University” Integrated scientific and technical program of the full innovation cycle “Development and implementation of a set of technologies in the areas of exploration and mining of solid minerals, industrial safety, bioremediation, creation of new products of deep processing of coal raw materials with a consistent reduction of the environmental impact and risks to human life” (CSTP “Clean Coal – Green Kuzbass”) in the implementation of the event “Development and creation of unmanned shuttle-type dump truck of 220 tons carrying capacity” in terms of research and development works.
For citation
Voronov Yu. E., Voronov A. Yu., Dubinkin D. M., Maksimova O.S. Optimizing the performance indicators of an autonomous shovel-truck system at an open-pit coal mine. Ugol’. 2024;(7):62-67. (In Russ.). DOI: 10.18796/0041-5790-2024-7-62-67.
Paper info
Received June 11, 2024
Reviewed June 16, 2024
Accepted June 25, 2024