Increase of efficiency of dump trucks functioning on the basis of justification of their rational speed by means of simulation modeling

The paper presents a solution to the problem of developing a methodological apparatus for the formation of scientifically based recommendations for choosing the speed mode of movement of dump trucks in specific mining-geological and climatic conditions of application, providing an increase in the efficiency of mine transport operation. The method of forming a list of the most significant factors and parameters that determine and characterize the functioning of quarry dump trucks, taking into account their level of significance, is shown to evaluate existing solutions of systems for active monitoring of the current state of machines. The choice of the dump truck speed as the main factor determining the efficiency of dump truck operation and having a direct impact on the current and projected technical condition of the machines is justified. Based on the revealed patterns of changes in the speed of movement from various factors, as well as using an application program created to achieve the goals of simulation modeling of the movement of various models of dump trucks in specific operating conditions, the results of simulation modeling were obtained, which made it possible to determine the influence of both whole groups and specific factors on the speed of the dump truck, depending on the operating conditions and the technical characteristics of the machine on the example of a CAT 793D dump truck.

Keywords: condition monitoring; parameter; factor; dump truck; movement speed; transport system; movement resistance, modeling.
For citation:

Makharatkin P. N., Abdulaev E. K., Vishnyakov G. Yu. , Botyan E. Yu., Pushkarev A. E. Increase of efficiency of dump trucks functioning on the basis of justification of their rational speed by means of simulation modeling. MIAB. Mining Inf. Anal. Bull. 2022;(6−2):237—250. [In Russ]. DOI: 10.25018/0236_1493_2022_62_0_237.

Acknowledgements:

The research was performed at the expense of the subsidy for the state assignment in the field of scientific activity for 2021 №FSR W-2020−0014. 
The research was carried out at the expense of a grant for the implementation of the state task in the field of scientific activity for 2021 No. FSRW-2020−0014.

 

Issue number: 6
Year: 2022
Page number: 237-250
ISBN: 0236-1493
UDK: 622.232:622.331
DOI: 10.25018/0236_1493_2022_62_0_237
Article receipt date: 14.01.2022
Date of review receipt: 07.04.2022
Date of the editorial board′s decision on the article′s publishing: 10.05.2022
About authors:

Makharatkin P. N., associate professor, departmentof transport and technological processes and machines, https://orcid.org/0000-0002-9376-061X, St. Petersburg Mining University, 199106, Russia, St Petersburg, 21st Line, 2, e-mail:pavelnik@spmi.ru;
Abdulaev E. K., department of transport and technological processes and machines, https:// orcid.org/0000-0003-2326-8053,Saint-Petersburg mining university, 199106, Russia, St Petersburg, 21st Line, 2, e-mail: ehldarabdulaev@mail.ru;
Vishnyakov G. Yu., phD student, department of transport and technological processes and machines, https://orcid.org/0000-0001-5050-4491,Saint-Petersburg mining university, 199106, Russia, St Petersburg, 21st Line, 2, e-mail: geroibeka@yandex.ru;
Botyan E. Yu., phD student, department of transport and technological processes and machines, https://orcid.org/0000-0003-3395-935X,Saint-Petersburg mining university, 199106, Russia, St Petersburg, 21st Line, 2, e-mail: evgenybotyan@yandex.ru;
Pushkarev A. E., Dr. Sci. (Eng.), professor, https://orcid.org/0000-0001-5546-015X, SaintPetersburg State University of Architecture and Civil Engineering (SPbGASU), 190005, Saint-Petersburg, 2-ya Krasnoarmeyskaya St., 4, Russia, e-mail: pushkarev-agn@mail.ru

For contacts:

Makharatkin P. N., e-mail: Pavelnik@spmi.ru.

Bibliography:

1. Safiullin R. N., Afanasyev A. S, Reznichenko V. V. Concept of development of monitoring and control systems of intelligent technical complexes. Journal of Mining Institute. 2019, vol. 237, pp. 322–330. [In Russ]. DOI:10.31897/PMI.2019.3.322.

2. Pushkarev A. E., Maksimova A. S. The solution of the problem of forming a system for monitoring the condition and positioning of construction and road vehicles St. Petersburg, Publishing house “Petropolis”, 2021,108 p. [In Russ].

3. Astafiev Y. P., Polishchuk G. K., Gorlov N. I. Planning and organization of loading and transportation works in open pits. Moscow, Nedra, 1986, 168 p. [In Russ].

4. Glebov A. V. Methodological principles of equipment selection for cyclical-andcontinuous technology mechanization. MIAB. Mining Inf. Anal. Bull. 2021, vol. 5−2, pp. 296–308. [In Russ].DOI: 10.25018/0236_1493_2021_52_0_296.

5. Belikova D. D., Morozov E. V., Khisamutdinova E. L. Optimizing control of mining machine power-units within the normal power setting range by means of engine oil quality monitoring. MIAB. Mining Inf. Anal. Bull. 2021, vol. 6, pp. 95–103. [In Russ]. DOI: 10.25 018/0236_1493_2021_6_0_95.

6. Vasiliev M. V., Smirnov V. P. Method of rationing and planning of efficiency of open-pit dump trucks Moscow, Sverdlovsk: IGD MCHM SSSR, 1987, 40 p. [In Russ].

7. Voroshilov G. A. Tendencies and prospects of using open-pit transport at mining enterprises of Ural region. Materials of scientific and practical conference “Open Pit Transport 2002” Zhodino: PO BelAZ. 2002. pp. 50–52. [In Russ].

8. Golubev V. A., Lotov A. I. Ways to save energy resources in the operation of mining and transport equipment quarries. Sverdlovsk, IGD MHM USSR, no. 86, pp. 86–90. [In Russ].

9. Goncharov S. A., Klucka F. I. Ways to reduce energy costs in the development of iron ore deposits. Mining Journal. 1999, no. 7, pp. 4–6. [In Russ].

10. Dovzhenok A. S. Increase in efficiency of open-pit automobile transport by improving the parameters of its subsystems using the energy criterion. Abstract of Ph. D. thesis, St. Petersburg., St. Petersburg Institute of Railway Transport, 1992, 20 p. [In Russ].

11. Zyryanov I. V. Algorithm of controlling the speed mode of open-pit dump trucks at low temperatures. Kolyma, 1997, no. 1, pp. 55–57. [In Russ].

12. Kuleshov A. A., Lankov P. Yu., Serebrennikov O. D. Choosing a rational model of a dump truck for the projected quarries of JSC Apatit. MIAB. Mining Inf. Anal. Bull. 2005, vol. 11, pp. 267–274. [In Russ].

13. Lel Y. I., Mescheryagin Yu. B., Rebrin E. Yu. Research of operation of dump trucks of various payload capacity at the Karagaysky open pit. Proceedings of the Ural Mining Institute. 1993, no. 3, pp. 22–29. [In Russ].

14. Kholmskiy A. V., Sidorov D. V. Arrangements for increase the efficiency of mining operations on the deep ore mines. Scientific and Practical Studies of Raw Material Issues. Proceedings of the Russian-German Raw Materials Dialogue: A Collection of Young Scientists Papers and Discussion. 2019, pp. 71–74.

15. Potapov M. G., Belozerov V. I., Levchik A. P. Prospects of Creation of Heavy-Duty Open Pit Trucks. – Moscow: Central Research Institute of Economics and Scientific and Technical Information of the Coal Industry. 1986, 44 p. [In Russ].

16. Rebrin E. Yu. Modelling of operation modes of open-pit motor transport. Abstract of Ph. D. thesis, Ekaterinburg, Ural state mining and geological academy, 1995, 220 p. [In Russ].

17. Khokhryakov V. S. Designing quarries, Moscow: Nedra, 1980, 336 p. [In Russ].

18. Etkina N. I., Lel Y. I., Sandrigailo I. N. Expert systems to assess technological parameters of opencast mining. Computer technology in mining. 1996. pp.138–142. [In Russ].

19. Boyd G., Dutrow E., Tunnessen W. The evolution of energy star energy performance Indicator for benchmarking industrial plant energy use. Journal of cleaner production. 2008, pp. 709–715.

20. Bolobov V. I., Plashchinsky V. A. Influence of impact duration on fracture efficiency in rocks and on plastic deformation of metals. MIAB. Mining Inf. Anal. Bull. 2022, no. 3, pp. 78–96. [In Russ]. DOI: 10.25018/0236_1493_2022_3_0_78.

21. Buki P., Nischk B. Tightening the belt on production costs. Pit Quarry. 1986, vol. 7 9, no. 3, pp. 38–40.

22. Chadwick J. R. Continuous miner and road header use grows. World Coal. 1983, vol. 9, pp. 31–40.

23. Derzko N. A., Ugge A. J., Case E. R. Evaluation of Dynamic Freeway Flow Model by Using Field Data. Transportation Research. 1981, vol. 905, pp. 52–60.

24. Borisov S. V., Koltunova E. A., Kladiev S. N. Improving of Simulation Model Structure of Traction Asynchronous Electric Drive for Mine Electric Locomotive. Journal of Mining Institute. 2021, vol. 247, pp. 1–8. [In Russ]. DOI: 10.31897/PMI.2021.1.12.

25. Botyan E., Pushkarev A. Improving the methodology of choosing machinery models for the formation of an excavator and vehicle fleet during the modernization of a mining transport system, with account for the Arctic specifics. Transportation Research Procedia. 2021, vol. 57, pp. 106–112. [In Russ].

26. Abdulaev E. K., Maharatkin P. N., Kuzhelev A. I. Determination of the most significant factors affecting the life of tires and the motor-wheel gearbox using a priori ranking. MIAB. Mining Inf. Anal. Bull. 2019, no. 48, pp. 3–10. [In Russ].

27. Hazin M. L. Robotic mining dump trucks. Proceedings of the Ural State Mining University. 2020, no. 3(59), pp. 123–130. [In Russ]. DOI: 10.21440/2307-2091-2020-3123−130.

28. Rylnikova M. V., Vlasov A. V., Makeev M. A. Substantiation of the conditions for the use of automated control systems for open-pit mining operations for the construction of a cyclic-flow geotechnology complex in a quarry using simulation modeling. Mining industry. 2021, no. 4, pp. 106–112. [In Russ]. DOI: 10.30686/1609-9192-2021-4-106−112.

29. Bajany D. M., Zhang L., Xia. X. An optimization approach for shovel allocation to minimize fuel consumption in open pit mines: case of heterogeneous fleet of shovels. International Federation of Automatic Control. 2019. vol. 52, iss. 14, pp. 207–212. DOI: 10.1016/j.ifacol.2019.09.196.

30. Patterson S. R., Kozana E., Hyland P. Energy efficient scheduling of open-pit coal mine trucks. European Journal of Operational Research. 2017, vol. 262, pp. 759–770. DOI: 10.1016/j.ejor.2017.03.081.

31. Burmistrov K. V., Osintseva N. A., Shakshakpaev A. N. Selection of Open-Pit Dump Trucks during Quarry Reconstruction. Procedia Engineering. 2017, vol. 206, pp. 1696– 1702. DOI: 10.1016/j.proeng.2017.10.700.

32. Wang Q., Zhang R., Lv Sh., Wang Y. Open-pit mine truck fuel consumption pattern and application based on multi-dimensional features and XGBoost. Sustainable Energy Technologies and Assessments. 2021, vol. 43, pp. 89–99. DOI: 10.1016/j.seta.2020.100977.

33. Yan Q., Chen X., Jian H., Wei W., Wang W., Wang H. Design of a deep inference framework for required power forecasting and predictive control on a hybrid electric mining truck. Energy. 2022, vol. 238, pp. 121–141. DOI: 10.1016/j.energy.2021.121960.

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.