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

Alexander A. Khamukhin, Silvano Bertoldo

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

11 Цитирования (Scopus)

Выдержка

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.

Язык оригиналаАнглийский
Название основной публикации2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781467383837
DOI
СостояниеОпубликовано - 14 июн 2016
Событие2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Moscow, Российская Федерация
Продолжительность: 12 мая 201614 мая 2016

Другое

Другое2016 International Siberian Conference on Control and Communications, SIBCON 2016
СтранаРоссийская Федерация
ГородMoscow
Период12.5.1614.5.16

Отпечаток

Forest Fire
Spectral Analysis
Spectrum analysis
Wireless Sensor Networks
Wireless sensor networks
Fires
Power Spectrum
Line
Power spectrum
Broadband
Low Frequency

ASJC Scopus subject areas

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

Цитировать

Khamukhin, A. A., & Bertoldo, S. (2016). Spectral analysis of forest fire noise for early detection using wireless sensor networks. В 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

Spectral analysis of forest fire noise for early detection using wireless sensor networks. / Khamukhin, Alexander A.; Bertoldo, Silvano.

2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7491654.

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Khamukhin, AA & Bertoldo, S 2016, Spectral analysis of forest fire noise for early detection using wireless sensor networks. в 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings., 7491654, Institute of Electrical and Electronics Engineers Inc., Moscow, Российская Федерация, 12.5.16. https://doi.org/10.1109/SIBCON.2016.7491654
Khamukhin AA, Bertoldo S. Spectral analysis of forest fire noise for early detection using wireless sensor networks. В 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7491654 https://doi.org/10.1109/SIBCON.2016.7491654
Khamukhin, Alexander A. ; Bertoldo, Silvano. / Spectral analysis of forest fire noise for early detection using wireless sensor networks. 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016.
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