Specific features of utilizing sensor complexes in safety systems of technological transport in surface mining conditions
I.A. Korolyov, T.P. Glum, E.Yu. Botyan
Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation
Russian Mining Industry №4S/ 2026 p. 202-209
Abstract: The article provides an overview of contemporary approaches to utilizing various types of sensors in additive assistance systems for operator of the mine transport vehicles, which is relevant due to the high accident rates with mining equipment in open-pit mining operations. The key reasons for this are the challenging mining and geological conditions, where accidents occur due to limited visibility, blind spots, dust, complex terrain, and non-stationary travel paths. In addition, onboard systems that include various types of sensors are responsible for detecting threats. Analysis of advantages and limitations of the sensor sensitivity aims to classify the application scenarios based on identification of the factors that lead to the sensor degradation during operation in dusty environment, high vibration impact, blast operations, and temperature fluctuations, as well as to assess the transition to proactive systems with predictive analytics. The article provides comparisons of the advantages and disadvantages of the sensors, as well as diagrams of the sensor systems and control zones, in order to refine recommendations for further application while studying the challenges of implementing such systems in open-pit mining operations.
Keywords: smart transport systems, in-pit mining equipment, in-pit mining dump truck, surface mining, collision prevention, industrial safety, technological transport, transport and technological processes
For citation: Korolyov I.A., Glum T.P., Botyan E.Yu. Specific features of utilizing sensor complexes in safety systems of technological transport in surface mining conditions. Russian Mining Industry. 2026;(4S):202–209. (In Russ.) https://doi.org/10.30686/1609-9192-2026-4S-202-209
Article info
Received: 12.06.2026
Revised: 29.07.2026
Accepted: 10.08.2026
Information about the authors
Igor A. Korolyov – Cand. Sci. (Eng.), Associate Professor of the Department of Mechanical Engineering, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation; https://orcid.org/0000-0003-0337-3999; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Tikhon P. Glum – Postgraduate Student of the Department of Industrial Safety, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation; https://orcid.org/0000-0002-0475-4083
Evgeny Yu. Botyan – Cand. Sci. (Eng.), Assistant of the Department of Informatics and Computer Technologies, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation; https://orcid.org/0000-0003-3395-935X
References
1. Колчанов А.Г., Колчанова А.А. Охрана труда и безопасность движения на открытых горных разработках в мире. СПб.: Наукоемкие технологии; 2024. 229 с. Режим доступа: https://publishing.intelgr.com/archive/Okhrana-truda-ibezopasnost-dvizheniya.pdf (дата обращения: 25.03.2026).
2. Bakishev K.A., Alikhan A.K. Injuries during mining or construction work: condition, dynamics, prognosis. Journal of Actual Problems of Jurispredence. 2024;109(1):98–112. (In Russ.) https://doi.org/10.26577/JAPJ2024109110
3. Babkin R.S., Kolvakh K.A., Baraboshkin I.A. Reduction in emission of nitrogen oxides in massive blasting in open pit mining. Mining Informational and Analytical Bulletin. 2025;(2):16–27. (In Russ.) https://doi.org/10.25018/0236_1493_2025_2_0_16
4. Морозов Д.М., Грязнов А.Ю. Аварийность и травматизм на предприятиях угольной отрасли. В кн.: Костиков К.С. (ред.) Россия молодая: сб. материалов 17-й Всерос. науч.-практ. конф. с междунар. участием, г. Кемерово, 22–25 апреля 2025 г. Кемерово: Кузбасский государственный технический университет им. Т.Ф. Горбачева; 2025. С. 10115.1–10115.7. Режим доступа: https://science.kuzstu.ru/wp-content/Events/Conference/RM/2025/RM25/pages/Articles/10115.pdf (дата обращения: 25.03.2026).
5. Gavrilov D.V., Lezhnev E.A., Sobolev V.V. Analysis of accident and injury rates at coal industry operations in 20142023. Russian Mining Industry. 2025;(1):41–48. (In Russ.) https://doi.org/10.30686/1609-9192-2025-1-41-48
6. Zadkov D.A., Martyushev N.V., Malozyomov B.V., Demin A.Y., Pogrebnoy A.V., Kuleshova E.E., Valuev D.V. Mathematical modeling of operational reliability of mine lifting equipment based on censored data. Mathematics. 2026;14(4):716. https://doi.org/10.3390/math14040716
7. Umirzokov A.M., Mambetalin K.T., Saydulozoda S.S., Saibo A.A. Conceptual model of the estimation of the efficiency of the driver – car – road – environment system. Bulletin of the South Ural State University. Series Mechanical Engineering Industry. 2019;19(1):37–46. (In Russ.) https://doi.org/10.14529/engin190104
8. Nikitenko M.S., Kizilov S.A., Khudonogov D.Y. Analysis of approaches to autonomous vehicle control. Modern High Technologies. 2022;(12-2):278–283. (In Russ.) https://doi.org/10.17513/snt.39472
9. Скударнов Д.Е., Портола В.А. Предотвращение столкновений карьерных автосамосвалов. В кн.: Костюк С.Г. (ред.) Безопасность жизнедеятельности предприятий в промышленно развитых регионах: материалы 13-й Междунар. науч.-практ. конф., Кемерово, 26–27 ноября 2019 г. Кемерово: Кузбасский государственный технический университет имени Т.Ф. Горбачева; 2019. С. 202-1–202-4.
10. Komzalov А.М., Shilov N.G. Application of modern technologies in car driver assistance systems. Journal of Instrument Engineering. 2017;60(11):1077–1082. (In Russ.) Available at: https://old-pribor.itmo.ru/file/article/17249.pdf (accessed: 25.03.2026).
11. Vinitsky M.A., Dustalev E.V., Minin D.A., Babich V.N., Bobrovsky V.N. Development of an advanced driver assistance system. Telecom IT. 2025;13(1):40‒46. (In Russ.) https://doi.org/10.31854/2307-1303-2025-13-1-40-46
12. Турсунов А.А., Абдуллоев М.А., Умирзаков А.М. Оценка влияния параметров горной среды на энергетические показатели энергоустановок транспортных машин. В кн.: Захаров Н.С. (ред.) Транспортные и транспортно-технологические системы: материалы междунар. науч.-техн. конф., г. Тюмень, 14 апреля 2010 г. Тюмень: ТюмГНГУ; 2010. С. 304–308.
13. Zaytseva E.V., Kochneva A.A., Katuntsov E.V. Reseaching of color distortion effects when applying adaptive histogram equalization methods to video frames from mines. Sustainable Development of Mountain Territories. 2026;18(1):218–230. (In Russ.) https://doi.org/10.21177/1998-4502-2026-18-1-218-230
14. Shishanov S., Zakhryapin D., Dzvonkovskaya A., Qin B. Systematic error measurements in object height estimation for automotive radars. IET Conference Proceedings. 2024;2023(47):569–572. https://doi.org/10.1049/icp.2024.1146
15. Ligotsky D.N., Dolgushin N.A. Analysis of experience in the use of unmanned technologies in open pit mining and prospects for their development. Gornyi Zhurnal. 2025;(2):42–47. (In Russ.) https://doi.org/10.17580/gzh.2025.02.06
16. Hrica J.K., Bellanca J.L., Benbourenane I., Carr J.L., Homer J., Stabryla K.M. A rapid review of collision avoidance and warning technologies for mining haul trucks. Mining, Metallurgy & Exploration. 2022;39(4):1357–1389. https://doi.org/10.1007/s42461-022-00633-w
17. Richards M. Slow speed object detection for haul trucks: Caterpillar integrates radar technology with its current camera-based system. Engineering & Mining Journal. November 2009. Available at: https://www.scribd.com/document/206426378/TMarkRichardsPresentation (accessed: 31.03.2026).
18. Bhunia S., Regis P.A., Sengupta S. Distributed adaptive beam nulling to survive against jamming in 3D UAV mesh networks. Computer Networks. 2018;137:83–97. https://doi.org/10.1016/j.comnet.2018.03.011
19. de Winkel K.N., Rethinking M.C. Rethinking Advanced Driver Assistance System taxonomies: A framework and inventory of real-world safety performance. Transportation Research Interdisciplinary Perspectives. 2025;29:101336. https://doi.org/10.1016/j.trip.2025.101336
20. Safiullin R.N., Simonova L.A., Lavrenko S.A., Pepler A.E., Bogdanov M.V. Methodology for predicting the failure rate of mining machines with account of their multimode operation. Russian Mining Industry. 2026;(1):164–169. (In Russ.) https://doi.org/10.30686/1609-9192-2026-1-164-169
21. Khamidov O.U., Shibanov D.A. Regulated maintenance and repair of quarry excavators considering real-world conditions and operating modes. Mining Informational and Analytical Bulletin. 2025;(12-3):152–167. (In Russ.) https://doi.org/10.25018/0236_1493_2025_123_0_152
22. Sychev Yu.A., Nazarychev A.N., Dyachenok G.V. Improving the labor safety of mining dump truck drivers by reducing the risk of failure of the functional units of the traction electric drive under operating conditions. Occupational Safety in Industry. 2023;(9):52–58. (In Russ.) https://doi.org/10.24000/0409-2961-2023-9-52-58
23. 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
24. 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
25. Tsupkina M.V., Kirkov A.E., Klebanov D.A., Radchenko D.N. Justification of the approaches to improve management strategy of the mining system based on the analysis of data on the mining of complex structural rock blocks. Journal of Mining Institute. 2024;266:316–325. Available at: https://pmi.spmi.ru/pmi/article/view/16302 (accessed: 29.02.2026).
26. Абасов С.А., Макеев М.А. Система и способ оптимизации работы самосвала с помощью цифрового советчика водителю. Патент RU2774512C1 Российская Федерация. Опубл. 21.06.2022. Режим доступа: https://patents.google.com/patent/RU2774512C1 (дата обращения: 25.03.2026).
27. Nazarychev A., Iliev I., Manukian D., Beloev H., Suslov K., Beloev I. Methodology for developing a maintenance action program for power units of captive power plants based on an integrated priority indicator. Energies. 2026;19(6):1584. https://doi.org/10.3390/en19061584
28. Muratbakeev E., Kozhubaev Y., Novak D., Ershov R., Wei Z. Monitoring and diagnostics of mining electromechanical equipment based on machine learning. Symmetry. 2025;17(9):1548. https://doi.org/10.3390/sym17091548
29. Kozhubaev Y., Novak D., Karpukhin V., Ershov R., Cheng H. Research on monitoring and control systems for belt conveyor electric drives. Automation. 2025;6(3):34. https://doi.org/10.3390/automation6030034
30. 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. (In Russ.) https://doi.org/10.30686/1609-9192-2025-1S-28-33
31. Панокин Н.В., Костин И.А., Карловский А.В., Орёлкина Д.И. Сенсорные системы высокоавтоматизированных транспортных средств. В кн.: Келлер А.В. Перспективные транспортные технологии: материалы 3-й Междунар. науч.-практ. конф. НТИ «Автонет», г. Москва, 25 апреля 2024 г. М.: Московский Политех; 2024. С. 85–95.
32. Nikolaev S.V., Vlasov Yu.N. Digital technologies in the transport and logistics industry as a mechanism for sustainable development of the regional and sectoral economy. Tekhniko-tekhnologicheskie problemy servisa. 2023;(4):58–63. (In Russ.)
33. Klebanov A.F., Kadochnikov M.V., Ulitin V.V., Sizemov D.N. Advanced systems to prevent collisions of mining equipment and personnel accidents in surface mining. Russian Mining Industry. 2020;(5):24–29. (In Russ.) https://doi.org/10.30686/1609-9192-2020-5-24-29
34. Филингер В.Д. Систематизация причин дорожно-транспортных происшествий на угольных разрезах на основе их качественного анализа. В кн.: Костиков К.С. (ред.) Россия молодая: сб. материалов 17-й Всерос. науч.-практ. конф. с междунар. участием, г. Кемерово, 22–25 апреля 2025 г. Кемерово: Кузбасский государственный технический университет им. Т.Ф. Горбачева; 2025. С. 41711.1–41711.6. Режим доступа: https://science.kuzstu.ru/wp-content/Events/Conference/RM/2025/RM25/pages/Articles/41711.pdf (дата обращения: 25.03.2026).
35. Bujalich G.D., Furman A.S. The study of high-speed modes of motion of mine dump. International Research Journal. 2015;(10-2):22–25. (In Russ.) https://doi.org/10.18454/IRJ.2015.41.064
36. Skudarnov D.Ye., Portola V.A., Kvasova A.A., Sachkov A.V. Analysis of fatal traumatism in opencast coal mining operations. Bulletin of Research Center for Safety in Coal Industry (Industrial Safety). 2018;(1):33–39. (In Russ.)
37. Lokteva O.S., Loktev A.A. Zero injury and the possibility of achieving it in transport industry. Science and Technology in Transport. 2020;(2):87–93. (In Russ.)
38. Walnum H.J., Simonsen M. Does driving behavior matter? An analysis of fuel consumption data from heavy-duty trucks. Transportation Research Part D: Transport and Environment. 2015;36:107–120. https://doi.org/10.1016/j.trd.2015.02.016



