Analysis of the input material flow of the transport conveyor
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- Category: Content №5 2023
- Last Updated on 27 October 2023
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Authors:
O.M.Pihnastyi*, orcid.org/0000-0002-5424-9843, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
M.O.Sobol, orcid.org/0000-0002-7853-4390, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (5): 156 - 164
https://doi.org/10.33271/nvngu/2023-5/156
Abstract:
Purpose. To develop a method for analyzing the material flow entering the input of a conveyor section, based on the decomposition of the input material flow into a deterministic material flow and a stochastic material flow.
Methodology. The analysis of experimental data characterizing the input material flow was performed using the methods of the canonical Fourier representation of a random process.
Findings. A method for representing a stochastic material flow as a combination of a deterministic process and a stationary random process with ergodic properties is proposed.
Originality. The originality of the obtained results lies in the fact that, for the first time, a method of analysis based on the decomposition of the input material flow for a conveyor section has been proposed, which, unlike the existing methods of input flow typing for the mining industry, will allow us to independently perform deterministic flow typing and stochastic material flow typing in transport conveyors. The proposed approach makes it possible to highlight special characteristics separately for deterministic and stochastic material flows. This will make it possible to use the obtained regularities to increase the accuracy of the conveyor model and will accordingly increase the quality of the belt speed control systems and the flow of material coming from the input bunker. The obtained results are of particular importance due to the fact that the characteristics of the deterministic material flow are directly related to the technical or technological factors of material extraction.
Practical value. The obtained results allow determining statistically stable regularities for the incoming flow, which makes it possible, based on these regularities from the set of available control algorithms, to choose the optimal control algorithm for the parameters of the operating conveyor section. This allows reducing the enterprise’s energy costs of the transportation of material. The proposed method can be successfully applied to build random number generators simulating the sequence of values of the input flow of material. The developed generators can be used both for validating existing belt speed control systems and creating new control systems based on neural networks. This opens perspectives for the design of effective systems for controlling the flow parameters of transport system, based on the transport conveyor model, which takes into account the stochastic nature of the incoming material flow.
Keywords: transport conveyor, distributed system, stochastic flow, correlation function
References.
1. He, D., Pang, Y., & Lodewijks, G. (2016). Determination of acceleration for belt conveyor speed control in transient operation. International Journal of Engineering and Technology, 8(3), 206-211. https://doi.org/10.7763/IJET.2016.V8.886.
2. Zeng, F., Yan, C., Wu, Q., & Wang, T. (2020). Dynamic behaviour of a conveyor belt considering non-uniform bulk material distribution for speed control. Applied Sciences, 10(13), 1-19. https://doi.org/10.3390/app10134436.
3. Vasić, M., Miloradović, N., & Blagojević, M. (2021). Speed control high power multiple drive belt conveyors. Research and Development in Heavy Machinery, 27(1), 9-15. https://doi.org/10.5937/IMK2101009V.
4. Pihnastyi, O., & Ivanovska, O. (2022, May). Improving prediction quality for multi-section transport conveyor model based on neural network. CEUR Workshop Proceedings, 8 th International Scientific Conference “Information Technology and Implementation”, 3132, 24-38. Retrieved from http://ceur-ws.org/Vol-3132/Paper_3.pdf.
5. Stadnik, M., Semenchenko, D., Semenchenko, A., Belytsky, P., Virych, S., & Tkachov, V. (2019). Improving energy efficiency of coal transportation by adjusting the speeds of a combine and a mine face conveyor. Eastern-European Journal of Enterprise Technologies, 1/8(97), 60-70. https://doi.org/10.15587/1729-4061.2019.156121.
6. Prokuda, V., Mishansky, Yu., & Protsenko, S. (2012). Research and assessment of cargo flows on the main conveyor transport “PSP Pavlogradskaya Mine, DTEK Pavlogradugol”. Mining electromechanics, 88(31), 107-111. Retrieved from http://ir.nmu.org.ua/bitstream/handle/123456789/880/24.pdf.
7. Kondrakhin, V., Stadnik, N., & Belitsky, P. (2013). Statistical analysis of mine belt conveyor operating parameters. Naukovi pratsi DonNTU, 2(26), 140-150.
8. Jeftenić, B., Ristić, L., Bebić, M., Statkić, S., Jevtić, D., Mihailović, I., & Rašić, N. (2010). Realization of system of belt conveyors operation with remote control. Structural integrity and life, 10(1), 21-30. Retrieved from http://divk.inovacionicentar.rs/ivk/ivk10/021-030-IVK1-2010-BJ-LR-MB-SS-DJ-IM-NR.pdf.
9. Doroszuk, B., Król, R., & Wajs, J. (2021). Simple design solution for harsh operating conditions: redesign of conveyor transfer station with reverse engineering and DEM simulations. Energies, 14(13), 1-13. https://doi.org/10.3390/en14134008.
10. Kawalec, W., & Król, R. (2021). Generating of electric energy by declined overburden conveyor in continuous surface mine. Energies, 14(13), 1-11. https://doi.org/10.3390/en14134030.
11. Curtis, A., & Sarc, R. (2021). Real-time monitoring volume flow, mass flow and shredder power consumption in mixed solid waste processing. Waste Management, 131, 41-49. https://doi.org/10.1016/j.wasman.2021.05.024.
12. Bhadani, K., Asbjörnsson, G., Hulthén, E., Hofling, K., & Evertsson, M. (2021). Application of optimization method for calibration and maintenance of power-based belt scale. Minerals, 11(4), 1-15. https://doi.org/10.3390/min11040412.
13. Carvalho, R., Nascimento, R., D’Angelo, T., Delabrida, S.G.C., Bianchi, A., Oliveira, R.A.R., Azpúrua, H., …, & Garcia, L. (2020). A UAV-based framework for semi-automated thermographic inspection of belt conveyors in the mining industry. Sensors, 22(8), 1-19. https://doi.org/10.3390/s20082243.
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