Spectral Analysis of Forest Fire Noise for Early Detection using Wireless Sensor Networks

Xehetasun bibliografikoak
Parent link:Control and Communications (SIBCON): Proceedings of the XII International Siberian Conference, Moscow, May 12–14, 2016. [4 p.].— , 2016
Egile nagusia: Khamukhin A. A. Aleksandr Anatolievich
Erakunde egilea: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Beste egile batzuk: Bertoldo S. Silvano
Gaia: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.
Argitaratua: 2016
Saila:Sensors and Systems of the Internet of Things
Gaiak:
Sarrera elektronikoa:http://dx.doi.org/10.1109/SIBCON.2016.7491654
Formatua: Baliabide elektronikoa Liburu kapitulua
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648806
Deskribapena
Gaia: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.
DOI:10.1109/SIBCON.2016.7491654