An MTSS Based Underground Coal Mining Simulation Model

Authors

  • V. Okolnishnikov Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia

Abstract

In the frames of simulation system, a specialized library of simulating models of mining equipment and coal seam (MTSS) was implemented. Using the specialized simulating model library of technological mining equipment an integrated model for technological processes of underground coal mining in stoping face was developed. The main goal of simulation for coal mining technological processes in stoping face is the evaluation of productivity of a cutter-loader depending on different factors like the technical parameters of the cutter-loader, size of the longwall face, geophysical state of the coal seam.

Keywords:

coal mining, simulation system, visual interactive simulation, longwall mining system

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References

A. Salama, J. Greberg, H. Schunnesson, “The use of discrete event simulation for underground haulage mining equipment selection”, International Journal of Mining and Mineral Engineering, Vol. 5, No. 3, pp. 256-271, 2014 DOI: https://doi.org/10.1504/IJMME.2014.064486

M. Fioroni, L. Santos, L. Franzese, I. Santana, G. Telles, J. Seixas, B. Penna, G. Alkmim, “Logistic Evaluation of an Underground mine Using Simulation”, 2014 Winter Simulation Conference, Savannah, GA, USA, pp. 1855-1865, 2014 DOI: https://doi.org/10.1109/WSC.2014.7020033

T. N. Michalakopoulos, C. P. Roumpos, Michael J. Galetakis, G. N. Panagiotou, “Discrete-Event Simulation of Continuous Mining Systems in Multi-layer Lignite Deposits”, Lecture Notes in Production Engineering, Proceedings of the 12th International Symposium Continuous Surface Mining, Aachen, Germany, pp. 225-239, Springer, 2015 DOI: https://doi.org/10.1007/978-3-319-12301-1_21

P. Gospodarczyk, “Modeling and Simulation of Coal Loading by Cutting Drum in Flat Seams”, Archives of Mining Sciences, Vol. 61, No. 2, pp. 385-379, 2016 DOI: https://doi.org/10.1515/amsc-2016-0027

T. Kara, M. Cengiz Savas, “Design and Simulation of a Decentralized Railway Traffic Control System”, Engineering, Technology & Applied Science Research, Vol. 6, No. 2, pp. 945-951, 2016 DOI: https://doi.org/10.48084/etasr.631

M. Ben Ayed, L. Zouari, M. Abid, “Software In the Loop Simulation for Robot Manipulators”, Engineering, Technology & Applied Science Research, Vol. 7, No. 5, pp. 2017-2021, 2017 DOI: https://doi.org/10.48084/etasr.1285

Y. Gao, D. Liu, X. Zhang, M. He, “Analysis and Optimization of Entry Stability in Underground Longwall Mining”, Sustainability, Vol. 9, No. 11, 2079, 2017 DOI: https://doi.org/10.3390/su9112079

R. Snopkowski, A. Napieraj, M. Sukiennik, “Method of the Assessment of the Influence of Longwall Effective Working Time Onto Obtained Mining Output”, Archives of Mining Sciences, Vol. 61, No. 4, pp. 967-977, 2017 DOI: https://doi.org/10.1515/amsc-2016-0064

V. V. Okolnishnikov, S. V. Rudometov, “A System for Computer Simulation of Technological Processes”, St. Petersburg State Polytechnic University Journal. Computer Science. Telecommunications and Control Systems, Vol. 181, No. 1, pp. 62-68, 2014

V. Okolnishnikov, S. Rudometov, S. Zhuravlev, “Simulating the Various Subsystems of a Coal Mine”, Engineering, Technology & Applied Science Research, Vol. 6, No. 3, pp. 993-999, 2016 DOI: https://doi.org/10.48084/etasr.625

A. A. Ordin, A. A. Metel’kov, “Optimization of the fully-mechanized stoping face length and efficiency in a coal mine”, Journal of Mining Science, Vol. 49, No. 2, pp. 254-264, 2013 DOI: https://doi.org/10.1134/S106273914902007X

A. A. Ordin, A. A. Metel’kov, “Analysis of longwall face output in screw-type cutter–loader-and-scraper conveyor system in underground mining of flat-lying coal beds”, Journal of Mining Science, Vol. 51, No. 6, pp. 1173-1179, 2015 DOI: https://doi.org/10.1134/S1062739115060452

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How to Cite

[1]
V. Okolnishnikov, “An MTSS Based Underground Coal Mining Simulation Model”, Eng. Technol. Appl. Sci. Res., vol. 8, no. 3, pp. 3060–3063, Jun. 2018.

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