Spectral Analysis of Forest Fire Noise for Early Detection using Wireless Sensor Networks; Control and Communications (SIBCON)

Spectral Analysis of Forest Fire Noise for Early Detection using Wireless Sensor Networks; Control and Communications (SIBCON)

Bibliografski detalji
Parent link:Control and Communications (SIBCON).— 2016.— [4 p.]
Glavni autor: Khamukhin A. A. Aleksandr Anatolievich
Autor kompanije: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Daljnji autori: Bertoldo S. Silvano
Sažetak:Title screen
Crown fires are extremely dangerous, very difficultto fight and often have a rate of spread over 100 times more thana surface fire. Therefore, it is important to determine the type offorest fire in the early detection based on wireless sensor networks (WSNs) to adopt the proper strategy to fight the fire. It is shownthat this could be done analyzing the noise power spectrum offorest fires: surface fires noise spectrum can be modeled as the rednoise (gradual increase of trend line amplitude toward lowerfrequencies), while for crown fires noise spectrum trend line hasan almost bell-shaped (Gaussian) type. The noise frequency rangeis relatively narrow for crown fires and ranged from 250 to 450Hz. The intermediate type of fires (strong surface fire andincipient crown fire) has a transient noise spectrum frombroadband red to narrowband Gaussian. The article presents thespectrums of 9 different forest fires. The different trend line of theforest fire noise power spectrum is the parameter that can be usedto determine the type of forest fire in WSNs.
Jezik:engleski
Izdano: 2016
Serija:Sensors and Systems of the Internet of Things
Teme:
электронный ресурс
труды учёных ТПУ
огонь
лесные пожары
Online pristup:http://dx.doi.org/10.1109/SIBCON.2016.7491654
Format: Elektronički Poglavlje knjige
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648806

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