Modern motor transport of the mining complex: challenges and solutions
I.V. Makarova, M.M. Ganiev, A.S. Barinov, L.M. Gabsalikhova, G.R. Mavlyautdinova
Kazan Federal University, Naberezhnye Chelny, Russian Federation
Russian Mining Industry №1S / 2025 p. 28-33
Abstract: The paper describes the challenges associated with motor transport in the mining industry, including the fuel efficiency and environmental friendliness. The possibilities of comparing the efficiency of a fleet consisting of different models of motor transport for specific natural, climatic and geographical conditions with account of specific features of open pits, described in this paper, as well as the choice of the most adequate of the admissible options, can be realised through the use of modern information technologies and intelligent systems. The authors propose a method that increases the efficiency of addressing the challenge to optimally select both the type of vehicle fleet structure in the mining industry and the number of vehicles in this fleet by creating an intelligent system. Implementation of the developed algorithms using the tested methods and open information resources will allow to choose the most efficient structure of the open-pit motor transport. This will improve the safety of both the mining industry complex and its personnel, which is especially important for implementation of the strategic projects in the Arctic Zone of the Russian Federation.
Keywords: mining complex, open-pit dump trucks, alternative fuel, trolley trucks, intelligent system
For citation: Makarova I.V., Ganiev M.M., Barinov A.S., Gabsalikhova L.M., Mavlyautdinova G.R. Modern motor transport of the mining complex: challenges and solutions. Russian Mining Industry. 2025;(1S):28–33. https://doi.org/10.30686/1609-9192-2025-1S-28-33
Article info
Received: 16.12.2024
Revised: 24.01.2025
Accepted: 29.01.2025
Information about the authors
Irina V. Makarova – Dr. Sci. (Eng.), Professor, Head of the Department of Transport Systems Service, Naberezhnye Chelny Institute, Kazan Federal University, Naberezhnye Chelny, Russian Federation; https://orcid.org/0000-0002-6184-9900; e-mail: kamivm@mail.ru
Makhmut M. Ganiev – Dr. Sci. (Eng.), Professor, Advisor to the director, Naberezhnye Chelny Institute, Kazan Federal University, Naberezhnye Chelny, Russian Federation; e-mail: ganiew2@rambler.ru
Aleksandr S. Barinov – Master student, Naberezhnye Chelny Institute, Kazan Federal University, Naberezhnye Chelny, Russian Federation; e-mail: asbarinov2012@mail.ru
Larisa M. Gabsalikhova – Cand. Sci. (Eng.), Associate Professor, Associate Professor at the Department of Transport Systems Service, Naberezhnye Chelny Institute, Kazan Federal University, Naberezhnye Chelny, Russian Federation; https://orcid.org/0000-0003-3325-3285, e-mail: muhametdinoval@mail.ru
Gulnaz R. Mavlyautdinova – Senior lecturer, Department of Transport Systems Service, Naberezhnye Chelny Institute, Kazan Federal University, Naberezhnye Chelny, Russian Federation; https://orcid.org/0000-0002-3631-0073, e-mail: sadygova_1988@mail.ru
References
1. Сержан С.Л., Малеванный Д.В. Современное состояние и перспективы развития технологий подъема для комплексов добычи глубоководных твердых полезных ископаемых. Горный информационно-аналитический бюллетень. 2024;(12-1):107–128. https://doi.org/10.25018/0236_1493_2024_121_0_107 Serzhan S.L., Malevannyj D.V. Lifting technologies for deep-sea solid mineral extraction facilities: current situation and prospects. Mining Informational and Analytical Bulletin. 2024;(12-1):107–128. (In Russ.) https://doi.org/10.25018/0236_1493_2024_121_0_107
2. Пашкевич Н.В., Хлопонина В.С., Поздняков Н.А., Аверичева А.А. Анализ проблем воспроизводства минерально-сырьевой базы дефицитных стратегических полезных ископаемых. Записки Горного института. 2024;270:1004–1023. Режим доступа: https://pmi.spmi.ru/pmi/article/view/16430 (дата обращения: 15.11.2024). Pashkevich N.V., Khloponina V.S., Pozdnyakov N.A., Avericheva A.A. Analysing the problems of reproducing the mineral resource base of scarce strategic minerals. Journal of Mining Institute. 2024;270:1004–1023. Available at: https://pmi.spmi.ru/pmi/article/view/16430 (accessed: 15.11.2024).
3. Azikhanov S., Bogomolov A., Dubov G., Nokhrin S. Development of the instrumentation system for gas-and-diesel fuelled BelAZ dump truck. MATEC Web of Conferences. 2019;297:03001. https://doi.org/10.1051/matecconf/201929703001
4. Жуковский Ю.Л., Сусликов П.К. Оценка потенциального эффекта применения технологии управления спросом на горных предприятиях. Устойчивое развитие горных территорий. 2024;16(3):895–908. https://doi.org/10.21177/1998-4502-2024-16-3-895-908 Zhukovsky Yu.L., Suslikov P.K. Assessment of the potential effect of applying demand management technology at mining enterprises. Sustainable Development of Mountain Territories. 2024;16(3):895–908. https://doi.org/10.21177/1998-4502-2024-16-3-895-908
5. Belikova D.D., Safiullin R.N. The design and evaluation of a telematic automated system of weight control for heavy vehicles. Infrastructures. 2022;7(7):86. https://doi.org/10.3390/infrastructures7070086
6. Петраков Д.Г., Пеньков Г.М., Золотухин А.Б. Экспериментальное исследование влияния горного давления на проницаемость песчаника. Записки Горного института. 2022;254:244–251. https://doi.org/10.31897/PMI.2022.24 Petrakov D.G., Penkov G.M., Zolotukhin A.B. Experimental study on the effect of rock pressure on sandstone permeability. Journal of Mining Institute. 2022;254:244–251. https://doi.org/10.31897/PMI.2022.24
7. Хазин М.Л., Штыков С.О. Карьерный электрифицированный транспорт. Вестник Магнитогорского государственного технического университета им. Г.И. Носова. 2018;16(1):11–18. https://doi.org/10.18503/1995-2732-2018-16-1-11-18 Khazin M.L., Shtykov S.O. Electric mining trucks. Vestnik of Nosov Magnitogorsk State Technical University. 2018;16(1):11–18. (In Russ.) https://doi.org/10.18503/1995-2732-2018-16-1-11-18
8. Литвиненко В.С., Двойников М.В. Методика определения параметров режима бурения наклонно прямолинейных участков скважины винтовыми забойными двигателями. Записки Горного института. 2020;241:105–112. https://doi.org/10.31897/PMI.2020.1.105 Litvinenko V.S., Dvoinikov M.V. Methodology for determining the parameters of drilling mode for directional straight sections of well using screw downhole motors. Journal of Mining Institute. 22020;241:105–112. https://doi.org/10.31897/PMI.2020.1.105
9. Safiullin R.N., Reznichenko V.V., Safiullin R.R. The software adaptive system for managing the heavy cargo transportation process based on the automated vehicle weight and size control system. Journal of Physics: Conference Series. 2021;1753:012063. https://doi.org/10.1088/1742-6596/1753/1/012063
10. Тарасов П.И., Зырянов И.В., Кондратюк А.П., Хазин М.Л. Автопоезда – новая техника для эффективного освоения кимберлитовых месторождений Республики Саха (Якутия). Горная промышленность. 2016;(5):45–48. Tarasov P.I., Zyryanov I.V., Kondratyuk A.P., Khazin M.L. Автопоезда – новая техника для эффективного освоения кимберлитовых месторождений Республики Саха (Якутия). Russian Mining Industry. 2016;(5):45–48. (In Russ.)
11. Литвинова Т.Е., Герасёв С.А. Поведение фосфата церия (III) в карбонатно-щелочной среде. Записки Горного института. 2024:1–8. Режим доступа: https://pmi.spmi.ru/pmi/article/view/16416 (дата обращения: 18.11.2024). Litvinova T.E., Gerasev S.A. Behaviour of cerium (III) phosphate in a carbonate-alkaline medium. Journal of Mining Institute. 2024:1–8. Available at: https://pmi.spmi.ru/pmi/article/view/16416 (accessed: 18.11.2024).
12. Tian H., Safiullin R.N., Safiullin R.R. Integral evaluation of implementation efficiency of automated hardware complex for vehicle traffic control. International Journal of Engineering. 2024;37(8):1534–1546. https://doi.org/10.5829/IJE.2024.37.08B.07
13. Сафиуллин Р.Н., Сафиуллин Р.Р., Сорокин К.В. Метод оценки и прогнозирования технического состояния ресурсных элементов карьерных самосвалов на основе контрольных карт Шухарта. Горный информационно-аналитический бюллетень. 2024;(7):111–124. https://doi.org/10.25018/0236_1493_2024_7_0_111 Safiullin R.N., Safiullin R.R., Sorokin K.V. Assessment and prediction of technical condition of dump truck life components using the Shewhart control charts. Mining Informational and Analytical Bulletin. 2024;(7):111–124. https://doi.org/10.25018/0236_1493_2024_7_0_111
14. Safiullin R., Tian H. Method of effective implementation of intelligent hardware complexes in the management of passenger transportation processes within urban agglomerations. The Open Transportation Journal. 2024;18(1):e26671212272101. https://doi.org/10.2174/0126671212272101231128060918
15. Safiullin R., Epishkin A., Safiullin R., Haotian T. Method of forming an integrated automated control system for intelligent objects. In: Ceur workshop proceedings: Proceedings of the 2nd International Scientific and Practical Conference “Information Technologies and Intelligent Decision Making Systems” (ITIDMS-II-2021). Aachen, Germany; 2021, pp. 17–26.
16. Иванов С.Л., Сафрончук К.А., Олт Ю. Обоснование и выбор конструктивных параметров зубчато-эксцентрикового механизма поршневого смазочно-заправочного агрегата для технического обслуживания горных машин. Записки Горного института. 2021;248:290–299. https://doi.org/10.31897/PMI.2021.2.13 Ivanov S.L., Safronchuk K.A., Olt Y. Justification and selection of design parameters of the eccentric gear mechanism of the piston lubrication and filling unit for the mining machines maintenance. Journal of Mining Institute. 2021;248:290–299. https://doi.org/10.31897/PMI.2021.2.13
17. Safiullin R.N., Reznichenko V.V., Gorlatov D.V. Modeling and optimization of processes of transportation of heavy cargoes based on the automation of monitoring systems for the motor vehicles movement. IOP Conference Series: Earth and Environmental Science. 2019;378:012069. https://doi.org/10.1088/1755-1315/378/1/012069
18. Клебанов А.Ф., Бондаренко А.В., Жуковский Ю.Л., Клебанов Д.А. Организация удаленных центров управления горным предприятием: стратегические предпосылки и этапы реализации. Горная промышленность. 2024;(4):174–183. https://doi.org/10.30686/1609-9192-2024-4-174-183 Klebanov A.F., BondarenkoA.V., Zhukovsky Yu.L., Klebanov D.A. Establishing remote control centers of a mining operation: strategic prerequisites and implementation stages. Russian Mining Industry. 2024;(4):174–183. (In Russ.) https://doi.org/10.30686/1609-9192-2024-4-174-183
19. Великанов В.С. Прогнозирование нагруженности рабочего оборудования карьерного экскаватора по нечетко-логистической модели. Записки Горного института. 2020;241:29–36. https://doi.org/10.31897/pmi.2020.1.29 Velikanov V.S. Mining excavator working equipment load forecasting according to a fuzzy-logistic model. Journal of Mining Institute. 2020;241:29–36. https://doi.org/10.31897/pmi.2020.1.29
20. Курганов В.М., Грязнов М.В., Колобанов С.В. Оценка надежности функционирования экскаваторно-автомобильных комплексов в карьере. Записки Горного института. 2020;241:10–21. https://doi.org/10.31897/pmi.2020.1.10 Kurganov V.M., Gryaznov M.V., Kolobanov S.V. Assessment of operational reliability of quarry excavator-dump truck complexes. Journal of Mining Institute. 2020;241:10–21. https://doi.org/10.31897/pmi.2020.1.10
