skip to main content
Tipo de recurso Mostra resultados com: Mostra resultados com: Índice

Automatic fire detection based on soft computing techniques: review from 2000 to 2010

Mahdipour, Elham ; Dadkhah, Chitra

The Artificial intelligence review, 2014-12, Vol.42 (4), p.895-934 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

Texto completo disponível

Citações Citado por
  • Título:
    Automatic fire detection based on soft computing techniques: review from 2000 to 2010
  • Autor: Mahdipour, Elham ; Dadkhah, Chitra
  • Assuntos: Algorithms ; Artificial Intelligence ; Automation ; Categories ; Classification ; Computer Science ; Data analysis ; Data assimilation ; Detectors ; False alarms ; Fire detection ; Fires ; Fuzzy logic ; Residential areas ; Smoke detectors ; Wireless communication
  • É parte de: The Artificial intelligence review, 2014-12, Vol.42 (4), p.895-934
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: Automatic fire detection system is a system that is capable of assessing environmental factors and their effects on the environment as well as predicting the occurrence of fire in the early stages and even before the outbreak. There are two perspectives in fire detection: fire detection in forests or jungles and fire detection in occupied or residential areas. Automatic fire detection has attracted increased attention due to its importance in decreasing fire damage. There are many studies that have considered appropriate techniques for early fire detection. In recent years researches have been studying technical developments in this field aimed at exploiting wireless communications networks, detection systems and fire prediction systems design. In this paper the automatic fire detection researches using intelligent techniques from 2000 to 2010 is reviewed. We could classify researches to four categories: fire detectors, reduce false alarms systems, fire data analysis and fire predictors. We also classify the intelligent techniques outlined in the researches for each category.
  • Editor: Dordrecht: Springer Netherlands
  • Idioma: Inglês

Buscando em bases de dados remotas. Favor aguardar.