Substantiating the pulse method for determining the time parameter of fire detectors with a thermoresistive sensing element

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.244235

Keywords:

fire detector, thermoresistive sensing element, Joule-Lenz effect, time parameter

Abstract

This paper substantiates the pulse method for determining the time parameter for fire detectors with a thermoresistive sensing element ‒ the time constant. The method is based on using the Joule-Lenz effect, which manifests itself when an electric current pulse passes through the thermoresistive sensing element of fire detectors. Thermal processes in such a sensing element are described by a mathematical model that belongs to the class of equations of mathematical physics. The solution to the differential equation of this class was derived using the Hankel integral transformation and is represented as a series relative to the Bessel functions. The resulting solution is used to construct a mathematical model of a thermoresistive sensing element in the form of a transfer function, which takes the form of the transfer function of the inertial link. To trigger the thermoresistive sensing element of fire detectors, a single pulse of electric current in the shape of a rectangular triangle is used. The integral Laplace transformation was applied to mathematically describe the response of a thermoresistive sensing element to the thermal effect of such a test influence. To obtain information about the time parameter of fire detectors with a thermoresistive sensing element, the ratio of its output signals is used, which are measured in the a priori defined moments. A two-parametric expression was built to determine the time parameter of fire detectors; a verbal interpretation of the pulse method to determine it was provided. The implementation of this method ensures the invariance of the time parameter of fire detectors with a thermoresistive sensing element relative to the amplitude of a single pulse of an electric current, as well as relative to the parameter that is included in its transfer coefficient.

Author Biographies

Yuriy Abramov, National University of Civil Defence of Ukraine

Doctor of Technical Sciences, Professor, Chief Researcher

Research Center

Oleksii Basmanov, National University of Civil Defence of Ukraine

Doctor of Technical Sciences, Professor, Chief Researcher

Scientific Department on Problems of Civil Defense, Technogenic and Ecological Safety of the Research Center

Yaroslav Kozak, Lviv State University of Life Safety

Adjunct

Department of Fire Tactics and Emergency Rescue Operations

References

  1. Wadoud, A. A., El Eissawi, H. M., Saleh, A. A. (2017). Protection of High Ceiling Nuclear Facilities Using Photoelectric Sensors and Infrared Fire Detectors. Arab Journal of Nuclear Science and Applications, 50 (1), 194–203. Available at: http://www.esnsa-eg.com/download/researchFiles/(19)%20%20%20%20%20123-15.pdf
  2. Dinh, T., Phan, H.-P., Qamar, A., Woodfield, P., Nguyen, N.-T., Dao, D. V. (2017). Thermoresistive Effect for Advanced Thermal Sensors: Fundamentals, Design Considerations, and Applications. Journal of Microelectromechanical Systems, 26 (5), 966–986. doi: https://doi.org/10.1109/jmems.2017.2710354
  3. Szelmanowski, A., Zieja, M., Pazur, A., Głyda, K. (2019). Studying the Dynamic Properties of Thermoelectric Fire Detectors in Terms of False Tripping of an Air Fire Suppression System. Engineer of the XXI Century, 103–120. doi: https://doi.org/10.1007/978-3-030-13321-4_10
  4. Choi, M.-S., Lee, K.-O. (2018). Study on Influence of Air Flow of Ceiling Type Air Conditioner on Fire Detector Response. Fire Science and Engineering, 32 (5), 40–45. doi: https://doi.org/10.7731/kifse.2018.32.5.040
  5. Jevtić, R., Blagojević, M. (2017). Smoke and heat detectors arrangement in hallways. Safety Engineering, 7 (2). doi: https://doi.org/10.7562/se2017.7.02.04
  6. Kalchenko, Y., Abramov, Y. (2018). Methods of heat detectors technical condition control. Problemy pozhezhnoi bezpeky, 44, 44–48. Available at: https://nuczu.edu.ua/sciencearchive/ProblemsOfFireSafety/vol44/Kalchenko.pdf
  7. Lugovkin, V. V., Zhuravlev, S. Y., Bulatova, V. V. (2019). Mathematic Simulation of Thermal Sensor Operation at Various Temperature Conditions of Controlled Media. 2019 International Russian Automation Conference (RusAutoCon). doi: https://doi.org/10.1109/rusautocon.2019.8867603
  8. Lu, K. H., Mao, S. H., Wang, J., Lu, S. (2017). Numerical simulation of the ventilation effect on fire characteristics and detections in an aircraft cargo compartment. Applied Thermal Engineering, 124, 1441–1446. doi: https://doi.org/10.1016/j.applthermaleng.2017.06.128
  9. Kushnir, A., Kopchak, B., Gavryliuk, A. (2021). Operational algorithm for a heat detector used in motor vehicles. Eastern-European Journal of Enterprise Technologies, 3 (10 (111)), 6–18. doi: https://doi.org/10.15587/1729-4061.2021.231894
  10. Kushnir, A., Kopchak, B., Gavryliuk, A. (2020). The Development of Operation Algorithm of Heat Detector with Variable Response Parameters. 2020 IEEE XVIth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH). doi: https://doi.org/10.1109/memstech49584.2020.9109436
  11. Güllüce, Y., Çelik, R. N. (2020). FireAnalyst: An effective system for detecting fire geolocation and fire behavior in forests using mathematical modeling. Turkish Journal of Agriculture and Forestry, 44 (2), 127–139. doi: https://doi.org/10.3906/tar-1907-11
  12. Wang, J., Li, G., Shi, L., Xie, Q., Zhang, S. (2018). A mathematical model for heat detector activation time under ship fire in a long-narrow space. Ocean Engineering, 159, 305–314. doi: https://doi.org/10.1016/j.oceaneng.2018.04.012
  13. Sharma, S., Sharma, A., Vishwakarma, P., Sharma, M. (2021). A theoretical framework representing seminal fire detection system design using shape memory polymer embedded with carbon nanotubes sponge. Materials Today: Proceedings, 44, 1617–1620. doi: https://doi.org/10.1016/j.matpr.2020.11.816
  14. Yuan, L., Thomas, R. A., Rowland, J. H., Zhou, L. (2018). Early fire detection for underground diesel fuel storage areas. Process Safety and Environmental Protection, 119, 69–74. doi: https://doi.org/10.1016/j.psep.2018.07.022
  15. Sharma, V., Varma, A. S., Singh, A., Singh, D., Yadav, B. P. (2018). A Critical Review on the Application and Problems Caused by False Alarms. Intelligent Communication, Control and Devices, 371–380. doi: https://doi.org/10.1007/978-981-10-5903-2_38
  16. Malykhina, G. F., Guseva, A. I., Militsyn, A. V. (2017). Early fire prevention in the plant. 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). doi: https://doi.org/10.1109/icieam.2017.8076375
  17. Saeed, F., Paul, A., Karthigaikumar, P., Nayyar, A. (2019). Convolutional neural network based early fire detection. Multimedia Tools and Applications, 79 (13-14), 9083–9099. doi: https://doi.org/10.1007/s11042-019-07785-w
  18. Sowah, R., Ampadu, K. O., Ofoli, A. R., Koumadi, K., Mills, G. A., Nortey, J. (2019). A Fire-Detection and Control System in Automobiles: Implementing a Design That Uses Fuzzy Logic to Anticipate and Respond. IEEE Industry Applications Magazine, 25 (2), 57–67. doi: https://doi.org/10.1109/mias.2018.2875189
  19. Jang, H.-Y., Hwang, C.-H. (2020). Test Method Using Shield-cup for Evaluating Response Characteristics of Fire Detectors. Fire Science and Engineering, 34 (4), 36–44. doi: https://doi.org/10.7731/kifse.8696ecf9
  20. Hong, S. H., Kim, D. S., Choi, K. O. (2017). A Study on the Classification of Domestic Fire Detector using Response Time Index. Journal of the Korean Society of Safety, 32 (2), 46–51. doi: https://doi.org/10.14346/JKOSOS.2017.32.2.46
  21. Yoon, G.-Y., Han, H.-S., Mun, S.-Y., Park, C.-H., Hwang, C.-H. (2020). DB Construction of Activation Temperature and Response Time Index for Domestic Fixed-temperature Heat Detectors in Ceiling Jet Flow. Fire Science and Engineering, 34 (3), 35–42. doi: https://doi.org/10.7731/kifse.103eea8f
  22. Abramov, Yu. O., Kalchenko, Ya. Yu. (2016). Teplovi pozhezhni spovishchuvachi ta yikh vyprobuvannia. Kharkiv: NUTsZU, 120.

Downloads

Published

2021-12-21

How to Cite

Abramov, Y., Basmanov, O., & Kozak, Y. (2021). Substantiating the pulse method for determining the time parameter of fire detectors with a thermoresistive sensing element. Eastern-European Journal of Enterprise Technologies, 6(5 (114), 49–55. https://doi.org/10.15587/1729-4061.2021.244235

Issue

Section

Applied physics