1. Proceedings
  2. I3M
  3. 2022
  4. EMSS
  5. 10.46354/i3m.2022.emss.023

Digital Model of A Coalmine Face

  • a Victor Okolnishnikov ,
  • b Sergey Rudometov
  • a,b  Federal Research Center for Information and Computational Technologies, Novosibirsk, 630090, Russia
Cite as
Okolnishnikov V., and Rudometov S. (2022).,DIGITAL MODEL OF A COALMINE FACE. Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022). , 023 . DOI: https://doi.org/10.46354/i3m.2022.emss.023

Abstract

The article presents the structure and implementation of a digital model simulating a face of a coalmine. The digital model takes into consideration the parameters of a mining seam, technical parameters of the mining machines used, and economic indicators. The model can be used to support decision-making on increasing the productivity of the longwall of a coalmine, assessing the effect produced by using of the new equipment or new technology. We gave an example of its use to determine the dependence of economic indicators of longwall operation on the length of the face and flow scheme of shearer operation.

References

  1. Ahmed,S. S.,AlHeib,M.,GunzburgerY.,andRenaudV.(2018).3D numerical simulation of the goaf due tolarge-scale longwall mining.ProceedingsInternational Congress and Exhibition "SustainableCivil Infrastructures: Innovative InfrastructureGeotechnology",121–131.
  2. Anani, A., Awuah-Offei, K., and Hirschi J. (2016).Application of discrete event simulation inoptimizing coal mine room-and-pillar panelwidth: a case study,Transactions of the Institution ofMining and Metallurgy, Section A: MiningTechnology,126: 1–9.
  3. Dziurzyński, W., Krach, A., Krawczyk, J., and Pałka, T. (2020). Numerical simulation of shearer operation in a longwall District.Energies21: 1–13.
  4. Enders, M. R. and Hoßbach, N. (2019) Dimensions ofDigital Twin Applications–A Literature Review.
    Twenty-fifth Americas Conference on InformationSystems, 1–10.
  5. Grieves, M. (2014). Digital Twin: ManufacturingExcellence through Virtual Factory Replication.AWhitePaper, 1–7.
  6. Grieves, M. and Vickers, J. (2017). Digital Twin:Mitigating Unpredictable, Undesirable EmergentBehavior in Complex Systems.TransdisciplinaryPerspectives on Complex Systems, 85–113.
  7. Gospodarczyk, P.(2016).Modeling and simulation ofcoal loading by cutting drum in flat seams.Archivesof Mining Sciences,61:385–379.
  8. Hodgkinson, J. H. and Elmouttie, M. (2020). Cousins,Siblings and Twins: A Review of the GeologicalModel’s Place in the Digital Mine.Resources, 9 (24): 1–14.
  9. Jones, D., Snider, C., Nassehi, A., Yon, J., and Hicks B.(2020). Characterising the Digital Twin: Asystematicliterature review.CIRP Journal ofManufacturing Science and Technology, 29:36–52.
  10. Kalinowski, P., Długosz, O., and Kamiński, P. (2021)Digital Twin of the Mining Shaft and HoistingSystem as an Opportunity to Improve theManagement Processes of Shaft InfrastructureDiagnostics and Monitoring.IntechOpen, 1–14.
  11. Kęsek, M.,Adamczyk, A., andKlaśM.(2019). Computer simulation of the operation of a longwallcomplex using the "Process Flow" concept ofFlexSim software.Intelligent Systems in ProductionEngineering and Maintenance. ISPEM 2018. Advancesin Intelligent Systems and Computing, 97–106.
  12. KrawczykJ.(2020).A preliminary study on selected methods of modeling the effect of shearer operation on methane propagation and ventilation at longwalls. International journal of mining science and technology,30:675–682.
  13. Kritzinger, W., Karner,M., Traar, G., Henjes, J., andSihn W. (2018). Digital twin in manufacturing: acategorical literature review and classification.IFAC-PapersOnLine, 51 (11):1016–1022.
  14. Meshkov, A. A., Volkov, M. A., Ordin, A.A.,Timoshenko, A. M., and Botvenko, D. V. (2018). On the record length and productivity of the face of themine named V. D. Yalevsky.Coal, 7:4–8. (InRussian).
  15. Muniappen, K.andGenc, B.(2020).Dynamicsimulation of an opencast coal mine: a case study.Int.J Coal Sci.Technol.,7:164–181.
  16. Okolnishnikov, V. V.and Rudometov, S. V. (2014). ASystem for Computer Simulation of TechnologicalProcesses.St. Petersburg State Polytechnic UniversityJournal. Computer Science. Telecommunications andControl Systems, 181 (1):62–68.
  17. Okolnishnikov, V., Rudometov, S., and Zhuravlev, S.(2016). Simulating the Various Subsystems of aCoal Mine.Engineering, Technology & AppliedScience Research, 6 (3):993–999.
  18. Okolnishnikov, V. (2018). An MTSS BasedUnderground Coal Mining Simulation Model.Engineering, Technology & Applied Science Research,8 (3):3060–3063.
  19. Ordin, A. A., Okolnishnikov, V. V., Rudometov, S. V.,and Metel’kov, A. A. (2019). Evaluation of DrumShearer Capacity in Coal Seam with VariableGeomechanical and Geotechnical Characteristics.Journal of Mining Science, 55 (1):57–65.
  20. Qi, Q. and Tao, F. (2018). Digital Twin and Big DataTowards Smart Manufacturing and Industry 4.0: 360 Degree Comparison,IEEE Access, 6:3585–3593.
  21. Tao, F., Zhang, H., Liu, A., and Nee A. Y. C. (2019).Digital Twin in Industry: State-of-the-Art.IEEETransactions on Industrial Informatics, 15 (4):2405–2415.
  22. Uhlemann, T. H. J., Lehamnn, C., and Steinhilper, R.(2017). The digital twin: Realizing the cyber-physical production system for industry 4.0.Procedia CIRP, 61:335–340.
  23. Xie, J., Wang, X., Yang, Z., and Hao, S. (2019). Virtualmonitoring method for hydraulic supports basedon digital twin theory.Mining Technology, 128 (2):77–87.