Spectral analysis of forest fire noise for early detection using wireless sensor networks

Alexander A. Khamukhin, Silvano Bertoldo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Crown fires are extremely dangerous, very difficult to fight and often have a rate of spread over 100 times more than a surface fire. Therefore, it is important to determine the type of forest fire in the early detection based on wireless sensor networks (WSNs) to adopt the proper strategy to fight the fire. It is shown that this could be done analyzing the noise power spectrum of forest fires: surface fires noise spectrum can be modeled as the red noise (gradual increase of trend line amplitude toward lower frequencies), while for crown fires noise spectrum trend line has an almost bell-shaped (Gaussian) type. The noise frequency range is relatively narrow for crown fires and ranged from 250 to 450 Hz. The intermediate type of fires (strong surface fire and incipient crown fire) has a transient noise spectrum from broadband red to narrowband Gaussian. The article presents the spectrums of 9 different forest fires. The different trend line of the forest fire noise power spectrum is the parameter that can be used to determine the type of forest fire in WSNs.

Original languageEnglish
Title of host publication2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467383837
DOIs
Publication statusPublished - 14 Jun 2016
Event2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Moscow, Russian Federation
Duration: 12 May 201614 May 2016

Other

Other2016 International Siberian Conference on Control and Communications, SIBCON 2016
CountryRussian Federation
CityMoscow
Period12.5.1614.5.16

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Keywords

  • acoustic emission
  • crown fire
  • early detection of forest fire
  • spectral analysis
  • surface fire
  • wireless sensor network

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation
  • Computer Networks and Communications

Cite this

Khamukhin, A. A., & Bertoldo, S. (2016). Spectral analysis of forest fire noise for early detection using wireless sensor networks. In 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings [7491654] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBCON.2016.7491654