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Abstrakty
Hard coal mines are vulnerable to a series of hazards that affect the safety and effectiveness of mining production. One of such hazards is the risk of underground fires. As the exogenous underground fires appear suddenly and have a highly dynamic course, it is very often necessary to quickly evacuate the crew from the danger area. The time needed to evacuate the crew from the danger area is most commonly determined by means of analytical methods, which provide a very general calculation. Therefore, it becomes necessary to also make use of other methods and tools for determining this time. Undoubtedly, such characteristics are offered by modern calculation methods based on the artificial intelligence (AI) algorithm and characterised by high accuracy. The paper presents a sample application of such a method for evacuating a 20-member crew from the heading under threat. In order to determine the evacuation time for those individuals, a calculation model was built for the total length of the escape routes equal to 900 m. The results revealed that the total evacuation time for workers moving with the speed corresponding to the movement speed in a heading filled with smoke (with considerably reduced visibility) will amount to approx. 21 minutes. The results obtained may constitute an essential source of information for service teams responsible for ensuring the operational safety in mine headings. At the same time, the model developed allows for broader application to the estimation of crew evacuation times from danger areas.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
107--115
Opis fizyczny
Bibliogr. 24 poz., fig., tab.
Twórcy
Bibliografia
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- 2. Brodny, J. and Tutak, M. (2019a). Forecasting the distribution of methane concentration levels in mine headings by means of model-based tests and in-situ measurements. Archives of Control Sciences, 29(1), pp. 25-39.
- 3. Brodny, J. and Tutak, M. (2019b). Analysing the utilisation effectiveness of mining machines using independent data acquisition systems: a case study. Energies, 12(13), 2505.
- 4. Brodny, J. and Tutak, M. (2018a). Exposure to Harmful Dusts on Fully Powered Longwall Coal Mines in Poland. Int. J. Environ. Res. Public Health, 15, 1846.
- 5. Brodny, J. and Tutak, M. (2018b). Determination of the zone with a particularly high risk of endogenous fires in the goaves of a longwall with caving. Journal of Applied Fluid Mechanics, 11(3), pp. 545-553.
- 6. Brodny, J.; Tutak, M. and John, A. (2018). The impact of airway geometry on the distribution of methane concentrations at the outlet from a longwall. Mechanika, 24(5), pp. 695-702.
- 7. Brodny, J. and Tutak, M. (2016). Analysis of gases emitted into the atmosphere during an endogenous fire. Proceedings of 16th International Multidisciplinary Scientific GeoConference SGEM 2016, pp. 75-82. DOI: 10.5593/SGEM2016/HB43/S06.011.
- 8. Chattaraj, U., Chakroborty, U. and Subhashini, A. (2013). Empirical studies on impacts of obstacle inside corridor on pedestrian flow. Procedia – Social and Behavioral Sciences, 104, pp. 668-677.
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- 10. Fang, Z.M., Song, W.G., Li, Z.J., Tian, W., Lv, W., Ma, J. and Xiao, X. (2012). Experimental study on evacuation process in a stairwell of a high-rise building. Building and Environment, 47, pp. 316-321.
- 11. Felka, D. and Brodny, J. (2018). Application of neural-fuzzy system in prediction of methane hazard. Advances in Intelligent Systems and Computing, 637, pp. 151-160.
- 12. Fernández-Alaiz, F., Castañón, A.M., Gómez-Fernández, F. and Bascompta, M. (2020). Mine Fire Behavior under Different Ventilation Conditions: Real-Scale Tests and CFD Modeling. Appl. Sci., 10, 3380.
- 13. Jeon, G.J., Kim, J.Y., Hong, W.H. and Augenbroe, G. (2011). Evacuation performance of individuals in different visibility conditions. Building and Environment, 46, pp. 1094-1103.
- 14. Ko, S., Spearpoint, M. and Teo, A. (2007). Trial evacuation of an industrial premises and evacuation model comparison. Fire Safety Journal, 42, pp. 91-105.
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- 18. Szurgacz, D., Sobik, L. and Brodny, J. (2019). Integrated method of reducing the threat of endogenous fires in hard coal mines. E3S Web of Conferences, 105,01013.
- 19. Tutak, M. and Brodny, J. (2017a): Analysis of Influence of Goaf Sealing from Tailgate On the Me-thane Concentration at the Outlet from the Longwall. IOP Conf. Series: Earth and Environmental Science 95 042025 doi:10.1088/1755-1315/95/4/042025.
- 20. Tutak, M. and Brodny, J. (2017b): Determination of Particular Endogenous Fires Hazard Zones in Goaf with Caving of Longwall. IOP Conf. Series: Earth and Environmental Science 95(2017) 042026 DOI:10.1088/1755-1315/95/4/042026.
- 21. Tutak, M. and Brodny, J. (2018). Impact of type of the roof rocks on location and range of endogenous fires particular hazard zone by in goaf with caving. E3S Web Conferences Volume 29. DOI:10.1051/e3sconf/20182900005.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-471da68d-d9a5-42a1-a942-457d66426195