Studying the recurrent diagrams of carbon monoxide concentration at early ignitions in premises

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.133127

Keywords:

recurrent diagrams, concentration of carbon monoxide, gas medium, non-airtight premises

Abstract

It was shown that the methods of nonlinear dynamics, surpassing traditional methods of temporal, frequency or frequency-temporal analysis of dangerous ignition factors may be used for early detection of ignitions in premises. The existence of carbon monoxide in gas medium was found to be most dangerous at fires in premises. The theoretical grounds for studying recurrent diagrams of carbon monoxide concentration in gas medium were substantiated. The modification of recurrent distance diagrams, based on power representations was proposed, making it possible to highlight selectively or to smooth structural features of configuration of recurrent points of distance diagrams. Results of research into recurrent diagrams of dynamics of carbon monoxide concentration show that the specified factor of ignition of materials has generally not stochastic, but chaotic dynamics. It was qualitatively determined that dynamics of carbon monoxide concentration in gas medium has non-uniformed distribution of points. In this case, the configuration of clustering of recurrent points of diagrams for various flammable materials varies and can be used for detecting the type and the beginning of early ignition of combustible material. The established fact of chaotic dynamics of carbon monoxide concentration in gas medium at early ignition of materials should be taken into consideration in the development of new technologies for reliable detection of early ignitions in premises. The data, obtained in the research, are important for deeper understanding of dynamics of the process of carbon monoxide formation in gas medium in non-airtight premises at ignition of various materials, because it is related to saving lives of people who are in these premises and their timely evacuation.

Author Biographies

Boris Pospelov, National University of Civil Defence of Ukraine Chernyshevska str., 94, Kharkiv, Ukraine, 61023

Doctor of Technical Sciences, Professor

Research Center

Vladimir Andronov, National University of Civil Defence of Ukraine Chernyshevska str., 94, Kharkiv, Ukraine, 61023

Doctor of Technical Sciences, Professor

Research Center

Evgenіy Rybka, National University of Civil Defence of Ukraine Chernyshevska str., 94, Kharkiv, Ukraine, 61023

PhD

Research Center

Ruslan Meleshchenko, National University of Civil Defence of Ukraine Chernyshevska str., 94, Kharkiv, Ukraine, 61023

PhD

Department of fire and rescue training

Pavlo Borodych, National University of Civil Defence of Ukraine Chernyshevska str., 94, Kharkiv, Ukraine, 61023

PhD, Associate Professor

Department of fire and rescue training

References

  1. Poulsen, A., Jomaas, G. (2011). Experimental Study on the Burning Behavior of Pool Fires in Rooms with Different Wall Linings. Fire Technology, 48 (2), 419–439. doi: 10.1007/s10694-011-0230-0
  2. Zhang, D., Xue, W. (2010). Effect of heat radiation on combustion heat release rate of larch. Journal of West China Forestry Science, 39, 148.
  3. Ji, J., Yang, L., Fan, W. (2003). Experimental study on effects of burning behaviours of materials caused by external heat radiation. Journal of Combustion Science and Technology, 9, 139.
  4. Peng, X., Liu, S., Lu, G. (2005). Experimental analysis on heat release rate of materials. Journal of Chongqing University, 28, 122.
  5. Andronov, V., Pospelov, B., Rybka, E. (2016). Increase of accuracy of definition of temperature by sensors of fire alarms in real conditions of fire on objects. Eastern-European Journal of Enterprise Technologies, 4 (5 (82)), 38–44. doi: 10.15587/1729-4061.2016.75063
  6. Andronov, V., Pospelov, B., Rybka, E. (2017). Development of a method to improve the performance speed of maximal fire detectors. Eastern-European Journal of Enterprise Technologies, 2 (9 (86)), 32–37. doi: 10.15587/1729-4061.2017.96694
  7. Pospelov, B., Andronov, V., Rybka, E., Skliarov, S. (2017). Design of fire detectors capable of self-adjusting by ignition. Eastern-European Journal of Enterprise Technologies, 4 (9 (88)), 53–59. doi: 10.15587/1729-4061.2017.108448
  8. Pospelov, B., Andronov, V., Rybka, E., Skliarov, S. (2017). Research into dynamics of setting the threshold and a probability of ignition detection by self­adjusting fire detectors. Eastern-European Journal of Enterprise Technologies, 5 (9 (89)), 43–48. doi: 10.15587/1729-4061.2017.110092
  9. Pospelov, B., Rybka, E., Meleshchenko, R., Gornostal, S., Shcherbak, S. (2017). Results of experimental research into correlations between hazardous factors of ignition of materials in premises. Eastern-European Journal of Enterprise Technologies, 6 (10 (90)), 50–56. doi: 10.15587/1729-4061.2017.117789
  10. Korn, G. A., Korn, T. M. (2000). Mathematical handbook for scientists and engineers: definitions, theorems, and formulas for reference and review. General Publishing Company, 1151.
  11. Bendat, J. S., Piersol, A. G. (2010). Random data: analysis and measurement procedures, fourth edition. John Wiley & Sons. doi: 10.1002/9781118032428
  12. Shafi, I., Ahmad, J., Shah, S. I., Kashif, F. M. (2009). Techniques to Obtain Good Resolution and Concentrated Time-Frequency Distributions: A Review. EURASIP Journal on Advances in Signal Processing, 2009 (1). doi: 10.1155/2009/673539
  13. Singh, P. (2016). Time-frequency analysis via the fourier representation. HAL, 1–7. Available at: https://hal.archives-ouvertes.fr/hal-01303330
  14. Bundy, M., Hamins, A., Johnsson, E. L., Kim, S. C., Ko, G. H., Lenhert, D. B. (2007). Measurements of heat and combustion products in reduced-scale ventilation-limited compartment fires. NIST Technical Note 1483, 155. doi: 10.6028/nist.tn.1483
  15. Pretrel, H., Querre, P., Forestier, M. (2005). Experimental Study of Burning Rate Behaviour in Confined and Ventilated Fire Compartments. Fire Safety Science, 8, 1217–1228. doi: 10.3801/iafss.fss.8-1217
  16. Pospelov, B., Andronov, V., Rybka, E., Popov, V., Romin, A. (2018). Experimental study of the fluctuations of gas medium parameters as early signs of fire. Eastern-European Journal of Enterprise Technologies, 1 (10 (91)), 50–55. doi: 10.15587/1729-4061.2018.122419
  17. Stankovic, L., Dakovic, M., Thayaparan, T. (2014). Time-frequency signal analysis. Kindle edition, Amazon, 655.
  18. Avargel, Y., Cohen, I. (2010). Modeling and Identification of Nonlinear Systems in the Short-Time Fourier Transform Domain. IEEE Transactions on Signal Processing, 58 (1), 291–304. doi: 10.1109/tsp.2009.2028978
  19. Giv, H. H. (2013). Directional short-time Fourier transform. Journal of Mathematical Analysis and Applications, 399 (1), 100–107. doi: 10.1016/j.jmaa.2012.09.053
  20. Pospelov, B., Andronov, V., Rybka, E., Popov, V., Semkiv, O. (2018). Development of the method of frequency­temporal representation of fluctuations of gaseous medium parameters at fire. Eastern-European Journal of Enterprise Technologies, 2 (10 (92)), 44–49. doi: 10.15587/1729-4061.2018.125926
  21. Nishikawa, H., Matsumura, K., Okino, S., Watanabe, T., Suda, F. (2015). Detection of the chaotic flow instability in a natural convection loop using the recurrence plot analysis and the nonlinear prediction. Journal of Thermal Science and Technology, 10 (2), JTST0028–JTST0028. doi: 10.1299/jtst.2015jtst0028
  22. Marwan, N., Donges, J. F., Zou, Y., Donner, R. V., Kurths, J. (2009). Complex network approach for recurrence analysis of time series. Physics Letters A, 373 (46), 4246–4254. doi: 10.1016/j.physleta.2009.09.042
  23. Rusinek, R., Zaleski, K. (2015). Dynamics of thin-walled element milling expressed by recurrence analysis. Meccanica, 51 (6), 1275–1286. doi: 10.1007/s11012-015-0293-y
  24. Kabiraj, L., Saurabh, A., Nawroth, H., Paschereit, C. O. (2015). Recurrence Analysis of Combustion Noise. AIAA Journal, 53 (5), 1199–1210. doi: 10.2514/1.j053285
  25. Marwan, N., Carmenromano, M., Thiel, M., Kurths, J. (2007). Recurrence plots for the analysis of complex systems. Physics Reports, 438 (5-6), 237–329. doi: 10.1016/j.physrep.2006.11.001
  26. Llop, M. F., Gascons, N., Llauró, F. X. (2015). Recurrence plots to characterize gas–solid fluidization regimes. International Journal of Multiphase Flow, 73, 43–56. doi: 10.1016/j.ijmultiphaseflow.2015.03.003
  27. Zbilut, J. P., Thomasson, N., Webber, C. L. (2002). Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals. Medical Engineering & Physics, 24 (1), 53–60. doi: 10.1016/s1350-4533(01)00112-6
  28. Andronov, V., Pospelov, B., Rybka, E., Skliarov, S. (2017). Examining the learning fire detectors under real conditions of application. Eastern-European Journal of Enterprise Technologies, 3 (9 (87)), 53–59. doi: 10.15587/1729-4061.2017.101985

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Published

2018-06-08

How to Cite

Pospelov, B., Andronov, V., Rybka, E., Meleshchenko, R., & Borodych, P. (2018). Studying the recurrent diagrams of carbon monoxide concentration at early ignitions in premises. Eastern-European Journal of Enterprise Technologies, 3(9 (93), 34–40. https://doi.org/10.15587/1729-4061.2018.133127

Issue

Section

Information and controlling system