Auto-organization approach with adaptive frame periods for IEEE 802.15.4/zigbee forest fire detection system

2019 ◽  
Vol 25 (7) ◽  
pp. 4059-4076
Author(s):  
Sofiane Ouni ◽  
Zayneb Trabelsi Ayoub ◽  
Farouk Kamoun
Keyword(s):  
Forest Fire ◽  
Ieee 802.15.4 ◽  
Detection System ◽  
Fire Detection ◽  
Fire Detection System ◽  
Forest Fire Detection

LoRa network based high performance forest fire detection system

2021 ◽  
Author(s):  
K Ram Prasanna ◽  
J.M. Mathana ◽  
T. Anne Ramya ◽  
R. Nirmala
Keyword(s):  
Forest Fire ◽  
High Performance ◽  
Detection System ◽  
Fire Detection ◽  
Fire Detection System ◽  
Forest Fire Detection

Bee2Fire: A Deep Learning Powered Forest Fire Detection System

2020 ◽  
Author(s):  
Rui Valente de Almeida ◽  
Fernando Crivellaro ◽  
Maria Narciso ◽  
Ana Sousa ◽  
Pedro Vieira
Keyword(s):  
Deep Learning ◽  
Forest Fire ◽  
Detection System ◽  
Fire Detection ◽  
Fire Detection System ◽  
Forest Fire Detection

scholarly journals Forest Fire Finder – DOAS application to long range forest fire detection

2016 ◽  
Author(s):  
Rui Valente de Almeida ◽  
Pedro Vieira
Keyword(s):  
Forest Fire ◽  
Thermal Imaging ◽  
Imaging System ◽  
Detection System ◽  
Fire Detection ◽  
Spectroscopic Technique ◽  
Optical Absorption Spectroscopy ◽  
Fire Detection System ◽  
Thermal Imaging System ◽  
Forest Fire Detection

Abstract. Fires are an important factor in shaping Earth's ecosystems. Plant and animal life, in almost every land habitat, are at least partially dependant on the effects of fire. However, their destructive force, which many times has proven itself uncontrollable, is one of our greatest concerns, effectively originating several policies in the most important industrialised regions of the globe. This paper aims to comprehensively characterise the Forest Fire Finder (FFF), a forest fire detection system based mainly upon a spectroscopic technique called Differential Optical Absorption Spectroscopy (DOAS). The system is designed and configured with the goal of detecting higher-than-the-horizon smoke columns by measuring and comparing scattered sunlight spectra. The article covers hardware and software, as well as their interactions and specific algorithms for day mode operation. An analysis of data retrieved from several installations deployed in the course of the last five years, is also presented. Finally, this document features a discussion on the most prominent future improvements planned for the system, as well as its ramifications and adaptations, such as a thermal imaging system for short range fire seeking or environmental quality control.

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