Publicação

Optimal sensors positioning to detect forest fire ignitions

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Detalhes bibliográficos
Resumo:Forests have been harassed by fire in recent years. Whether by human action or for other reasons, the burned area has increased harming fauna and flora. It is fundamental to detect an ignition early in order to firefighters fight the fire minimizing the fire impacts. The proposed Forest Monitoring System aims at improving the nature monitoring and to enhance the existing surveillance systems. A set of innovative operations is proposed that will allow to identify a forest ignition and also will monitor the fauna. For that, a set of sensors are being developed and placed in the forest to transmit data and identify forest fire ignition. This paper addresses a methodology that identifies the ideal positions to place the developed sensors in order to minimize the fire hazard. Some preliminary results are shown by a random algorithm that spread points to position sensor modules in areas with high risk of fire hazard.
Autores principais:Brito, Thadeu
Outros Autores:Pereira, Ana I.; Lima, José; Castro, João Paulo; Valente, António
Assunto:Wildfires Forest fires Regional climate Forest fire ignition Ignition detection
Ano:2020
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:Forests have been harassed by fire in recent years. Whether by human action or for other reasons, the burned area has increased harming fauna and flora. It is fundamental to detect an ignition early in order to firefighters fight the fire minimizing the fire impacts. The proposed Forest Monitoring System aims at improving the nature monitoring and to enhance the existing surveillance systems. A set of innovative operations is proposed that will allow to identify a forest ignition and also will monitor the fauna. For that, a set of sensors are being developed and placed in the forest to transmit data and identify forest fire ignition. This paper addresses a methodology that identifies the ideal positions to place the developed sensors in order to minimize the fire hazard. Some preliminary results are shown by a random algorithm that spread points to position sensor modules in areas with high risk of fire hazard.