The issues of optimization parameters of quarry transport systems

Authors: Zhuravlev A.G.

The cost of technological transport in open-pit mining for medium-depth quarries reaches 50 % of the total cost of production of commercial ore, and for deep-exceed this figure. Therefore, optimization of quarry transport systems is an important element in improving the efficiency of mining. The most important element of optimization is through her character the use of optimization to all linked processes on the basis of objective criteria of efficiency, unity and objectivity of the source data, using multilevel data from sensors mounted on the mining and transport machines to total economic values for processing. A promising direction for the implementation of tools for optimizing the processes of open pit mining and in particular transport systems of quarries, as one of the most important subsystems, is the end-to-end digitalization of mining production. The article presents the results of research and methodological approach to the creation of methods of optimization of complex transport systems on the basis of complex computer modeling, both simulation and economic and mathematical. The concept of TSC optimization methods in the absence of expressed maxima or minima of the parameters reflecting the optimization parameters is proposed. The possibilities of optimization of transport systems due to controlled transients are shown, it is established that the rational organization of the transition process provides cost savings of up to 2 times or more. The concept of a dynamic model of the quarry transport system development, reflecting the transition processes in its formation, is presented.

Keywords: quarry transport system, optimization, modeling, digitalization, technical and economic indicators, simulation.
For citation:

Zhuravlev A.G. The issues of optimization parameters of quarry transport systems. MIAB. Mining Inf. Anal. Bull. 2020;(3-1):583-601. [In Russ]. DOI: 10.25018/0236-1493-2020-310-583-601.


The research was carried out within the framework of the State task № 07500581-19-00, subject № 0405-2019-0005

Issue number: 3
Year: 2020
Page number: 583-601
ISBN: 0236-1493
UDK: 622.684
DOI: 10.25018/0236-1493-2020-31-0-583-601
Article receipt date: 21.11.2019
Date of review receipt: 11.03.2020
Date of the editorial board′s decision on the article′s publishing: 20.03.2020
About authors:

Zhuravlev A.G., chief of laboratory, Cand. Sci. (Eng.), The Institute of Mining of the Ural branch of the Russian Academy of Sciences, 620075, Ekaterinburg, Russia,

For contacts:

1. Frolov E.B., Parshina I.S., Zaitsev A.S., Klimov A.S. Industry 4.0: “digital double” as a means of increasing the efficiency of the production system. Naukoemkie tekhnologii v mashinostroenii, 2019, no 2 (92), pp. 42—48. [In Russ]

2. Zhuravlev A.G. Selection of rational load capacity of dump trucks for specific transportation conditions. Transport Urala, 2014, no 4, pp. 96—101. [In Russ]

3. Voronov A. Yu. Optimizatsiya pokazatelei ekspluatatsionnoi proizvoditel’nosti ekskavatorno-avtomobil’nykh kompleksov razrezov [Optimization of indicators of operational productivity of excavator-automobile complexes of sections] : Doctor’s thesis, Kemerovo, FGBOU VPO «Kuzbasskii gosudarstvennyi tekhnicheskii universitet imeni T.F. Gorbacheva», 2015, 197 p. [In Russ]

4. Upadhyay S.P., Askari-Nasab H. International Journal of Mining Science and Technology, 2018, no 28, P.153–166.

5. Bajany D.M., Zhang L., Xia X. An Optimization Approach for Shovel Allocation to Minimize Fuel Consumptio in Open-pit Mines: Case of Heterogeneous Fleet of Shovels, IFAC Papers On Line, 2019, no 52—14, pp. 207–212

6. González H., Morales N. Optimal Selection and Assignment of Loading Equipment for the Compliance of an Open-Pit Production Plan. In: Widzyk-Capehart E., Hekmat A., Singhal R. (eds) Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection — MPES 2018. Springer, Cham Parhizkar, A. Location theory applied to optimize the position of road exit(s) in open pit mining (case study). Arab J Geosci, 2018, no 11, p.796. DOI:10.1007/s12517—018—4165—3

7. Kumykova, T.M., Kumykov, V.K. Method of Shaping Loading-and-Transportation System in Deep Open Pit Complex Ore Mines. J Min Sci, 2018, no 53, P.708–717. DOI: 10.1134/S1062739117042702.

8. Nehring M., Knights P.F., Kizil M.S., Hay E. A comparison of strategic mine planning approaches for in-pit crushing and conveying, and truck/shovel systems. International Journal of Mining Scienceand Technology, 2018, no 28, pp. 205–214.

9. Antonov V.A. Identification and interpretation of the experimental mining and technology laws. Problemy nedropol’zovaniya, 2016, no 4, pp. 162 — 170. DOI:10.18454/2313— 1586.20.04.162. [In Russ]

10. Zhuravlev A.G. Computer modeling of modes of movement of career dump trucks with KEU. MIAB. Mining Inf. Anal. Bull. 2011, no OV11, pp. 371—382. [In Russ]

11. Lukichev S.V., Nagovitsyn O.V., Semenova I.E., Belogorodtsev O.V. Approaches to solving problems of design and planning of mining operations in the MINEFRAME system. Gornyi zhurnal, 2015, no 8, pp. 53—58. [In Russ]

12. Yakovlev V.L. Study of transition processes — a new methodological approach to the development and development of innovative technologies for mining and ore preparation of mineral raw materials in the development of deep-lying complex deposits. Problemy nedropol’zovaniya, 2017, no 2, pp. 5 — 14. (DOI: 10.18454/2313—1586.2017.01.112.) [In Russ]

13. Yakovlev V.L. Teoriya i praktika vybora transporta glubokih kar’erov [Theory and practice of choice of transport for the deep open pits]. Novosibirsk, Nauka. Sib. otdelenie, 1989, 240 p.

14. Tarasov P.I., Zhuravlev A.G., Isakov M.V. Questions of creation and prospects of application of career dump trucks with the combined power plant. Gornaya promyshlennost’, 2008, no 3, pp. 68—74. [In Russ]

15. Bakhturin Yu. A. Parametric adaptation of the open-cut transport systems on the basis of universal interactive simulation model. Problemy nedropol’zovaniya, 2018, no 4, pp. 71—80. (DOI: 10.25635/2313—1586.2018.04.071.) [In Russ]

16. Zhuravlev A.G. Obosnovanie ratsional’nykh tekhnicheskikh parametrov gornotransportnykh mashin. MIAB. Mining Inf. Anal. Bull. 2015, no 21, pp. 75—87. [In Russ]

17. Valuev A.M. The problem of Pareto-optimization of the trajectory on the network as a metamodel of multi-criteria choice of design solutions for mining enterprises. MIAB. Mining Inf. Anal. Bull. 2015, no 11, pp. 215—223. [In Russ]

18. Akishev A.N., Bondarenko I.F., Zyryanov I.V. Tekhnologicheskie aspekty razrabotki bednotovarnyh mestorozhdenij almazov [Technological aspects of the development of poor diamond deposits]. Novosibirsk: Nauka, 2018. 368 p. [In Russ]

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.