Enhancement of the maintenance and repair system for haul trucks in cold regions using a digital twin of the transportation enterprise
https://doi.org/10.31660/2782-232X-2024-4-88-97
Abstract
This study addresses the increasing number of failures, downtime, and maintenance and repair costs associated with BelAZ 7513 and 7530 series haul trucks operating in the extreme climatic conditions of Khakassia’s coal mines. An assessment of the actual specific downtime for these trucks during repair and maintenance reveals values ranging from 3 to 60 hours per 100 operating hours, significantly exceeding the 14-15-hour standard for Khakassia’s cold climate. A method of temperature correction for maintenance frequency during winter was proposed to reduce scheduled maintenance frequency and the volume of unscheduled repairs. This study further proposes improvements to the maintenance and repair system for BelAZ haul trucks in cold climates, considering truck age, low temperatures, and a reliability analysis of the truck design. To optimize this system, the implementation of a digital twin for the transportation enterprise was suggested. This digital twin will enable individualized maintenance scheduling for each haul truck, adjusting the frequency of all maintenance procedures based on negative air temperatures. The digital twin will also facilitate the integration of additional maintenance list into the scheduled maintenance plan, thereby minimizing unscheduled repairs and equipment failures.
About the Author
A. N. Borisenko
Khakas Technical Institute – Branch of the Siberian Federal University
Russian Federation
Russian Federation
Alexander N. Borisenko, Cand. Sci. (Engineering), Associate Professor, Associate Professor in the Department of Electric Power Engineering, Mechanical Engineering and Automobile Transportation
Abakan
References
1. Kvaginidze V. S., Koretskaya N. A. Efficiency of the system of technical services and repairs of heavy-duty quarry dump trucks operated in the conditions of the North. Mining Information and Analytical Bulletin (Scientific and Technical Journal). 2011;(S5):198–217. (In Russ.) Available at: https://elibrary.ru/item.asp?id=17231246.
2. Kuzin E. G., Pudov E. Yu., Dubinkin D. M. Analysis of failures of mining dump truck assemblies under operating conditions. Mining Equipment and Electromechanics. 2021;(2):55–61. https://doi.org/10.26730/1816-4528-2021-2-55-61
3. Alla H. R., Hall R., Apel D. B., Performance evaluation of near real-time condition monitoring in haul trucks. International Journal of Mining Science and Technology. 2020;30(6):909–915. https://doi.org/10.1016/j.ijmst.2020.05.024
4. Kalra V. M., Thakur T., Pabla B. S. Condition based maintenance management system for improvement in key performance indicators of mining haul trucks-a case study. In: IEEE International Conference on Innovative Research and Development. Bangkok: IEEE; 2018. P. 1–6. https://doi.org/10.1109/ICIRD.2018.8376300
5. Suresh A., Diwakar G., Naidu B. A. Reliability design and maintenance formulation for dumpers used in mining industries. CVR Journal of Science and Technology. 2020;19(1):144–150. http://dx.doi.org/10.32377/cvrjst1924
6. Elodie R., Christophe B., Keomany B., Hoceane T., Romain L. oint dynamic scheduling of missions and maintenance for a commercial heavy vehicle: value of on-line information. IFAC PapersOnLine. 2018;51(24):837–842. https://doi.org/10.1016/j.ifacol.2018.09.672
7. Kozin Ye. S., Zakharov N. S., Panfilov A. A., Vokhmin D. M. Decision support systems for transportation. Tyumen: Industrial University of Tyumen; 2023. (In Russ.) Available at: https://elibrary.ru/bzsjil.
8. Kritzinger W., Karner M., Traar G., Henjes J., Sihn, W. Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine. 2018;51(11):1016–1022. https://doi.org/10.1016/j.ifacol.2018.08.474
9. Borisenko A. N., Oleinikov A. V., Semenov M. N. Improving maintenance and preventive overhaul programs for open pit dump trucks at SUEK-Khakassia. Mining Information and Analytical Bulletin (Scientific and Technical Journal). 2021;(6):104–119. https://doi.org/10.25018/0236_1493_2021_6_0_104
10. Kilin A. B., Azev V. A., Shapovalenko G. N., Sukharkov I. N., Vakulin E. A., Sultanova N. V., Khazhiev V. A. Development of repair maintenance and operation service for BelAZ dump trucks at Chernogorsk open pit mine. Mining Information and Analytical Bulletin (Scientific and Technical Journal). 2016:(S34):129–137. (In Russ.) Available at: https://elibrary.ru/item.asp?id=35281161.
11. Oleynikov A. V., Vasil'yev V. A., Suyetova A. A. Fundamentals of reliability theory. Abakan: Siberian Federal University, Khakas Technical Institute – Branch of the Siberian Federal University; 2014. (In Russ.)
12. Borisenko A. N. Application of information technologies in vehicle maintenance planning. Avtotransportnoye predpriyatiye. 2005;(5):27–28. (In Russ.)
13. Maksimov V. A., Nguyen V. T., Chan D. K. Z. Analysis of factors affecting fuel consumption, taking into account the current operating conditions of urban buses. In: Aktual'nyye voprosy tekhnicheskoy ekspluatatsii i avtoservisa podvizhnogo sostava avtomobil'nogo transporta = Actual issues of technical operation and maintenance of rolling stock of road transport, Moscow, January 31 – February 02, 2023. Moscow: Moscow Automobile and Road Construction State Technical University; 2023. P. 21–30. (In Russ.) Available at: https://elibrary.ru/item.asp?id=50250081.
14. Zakharov N. S., Abakumov G. V., Voznesenskiy A. V. Influence of seasonal conditions on resource consumption in vehicle operation. Tyumen: Tyumen State Oil and Gas University; 2011. (In Russ.)
15. Guselnikov A. S., Zakharov N. S. Influence of seasonal conditions on the failure rate parameter of elements of the KAMAZ-43118 engine power supply system. Intellect. Innovations. Investments. 2023;2:111–120. (In Russ.) https://doi.org/10.25198/2077-7175-2023-2-111
16. Yakovenko V. V., Zakharov N. S. Natural and climate factors affecting the reliability of cars. In: Transportnyye i transportno-tekhnologicheskiye sistemy = Transport and transport-technological systems, Tyumen, April 15, 2021. Tyumen: Industrial University of Tyumen; 2021. P. 325–328. (In Russ.)
17. Asanova E., Tulin A., Revyakov G. Scientific and methodological approaches to the problem of creating a model of an enterprise’s digital twin. Ekonomicheskiye strategii = Economic strategies. 2024;26(2):54–63. (In Russ.) https://doi.org/10.33917/es-2.194.2024.54-63
Review
For citations:
Borisenko A.N. Enhancement of the maintenance and repair system for haul trucks in cold regions using a digital twin of the transportation enterprise. Architecture, Construction, Transport. 2024;(4):88-97. (In Russ.) https://doi.org/10.31660/2782-232X-2024-4-88-97
Views:
31
Email this article 