Autors: Rizanov, S. M., Yakimov, P. I.
Title: Wi-Fi HaLow Wildfire Sound Detector
Keywords: audible noise, embedded system, forest fire noise, sound detection, Wi-Fi HaLow, wildfire

Abstract: The expanding severity and occurrences of wildfires has led researchers in search for new technologies and applying cutting-edge solutions for the early detection of such fire hazards. Within this work we propose a Wi-Fi HaLow wildfire sound detector. Described are the spectral specifics of forest fire noise, the Wi-Fi HaLow standard and its advantages. The prototyped system was subjected to tests capturing real sound data from fire and non-fire events and distinguishing between them by means of sonogram analysis.

References

  1. Guan, H., Fang, S., & Jiang, J. X. (2013, July). The Detection and Analysis of the Combustion Audio. In 2nd International Conference on Science and Social Research (ICSSR 2013) (pp. 795-798). Atlantis Press.
  2. Huang, H. T., Downey, A. R., &Bakos, J. D. (2022). Audio- Based Wildfire Detection on Embedded Systems. Electronics, 11(9), 1417.
  3. Schultze, T., Kempka, T., &Willms, I. (2006). Audio-video fire-detection of open fires. Fire safety journal, 41(4), 311-314.
  4. Khamukhin, A. A., Demin, A. Y., Sonkin, D. M., Bertoldo, S., Perona, G., &Kretova, V. (2017). An algorithm of the wildfire classification by its acoustic emission spectrum using Wireless Sensor Networks. In Journal of Physics: Conference Series (Vol. 803, No. 1, p. 012067). IOP Publishing.
  5. Viegas, D. X., Pita, L. P., Nielsen, F., Haddad, K., Tassini, C. C., D'Altrui, G., ... & Tsangaris, H. (2008). Acoustic characterization of a forest fire event. WIT Transactions on Ecology and the Environment, 119, 171-179.
  6. Zhang, S., Gao, D., Lin, H., & Sun, Q. (2019). Wildfire detection using sound spectrum analysis based on the internet of things. Sensors, 19(23), 5093.
  7. Sahin, Y. G., &Ince, T. (2009). Early forest fire detection using radio-acoustic sounding system. Sensors, 9(3), 1485-1498.
  8. Peruzzi, G., Pozzebon, A., & Van Der Meer, M. (2023). Fight fire with fire: Detecting forest fires with embedded machine learning models dealing with audio and images on low power iot devices. Sensors, 23(2), 783.
  9. https://www.wi-fi.org/discover-wi-fi/wi-fi-certified-halow
  10. https://www.silextechnology.com/wi-fi-halow-pillar
  11. https://www.morsemicro.com/
  12. https://opus-codec.org/

Issue

2024 33rd International Scientific Conference Electronics, ET 2024 - Proceedings, 2024, , https://doi.org/10.1109/ET63133.2024.10721479

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus