Forest fire detection and prediction system
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2020-09-19 14:56
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GOMENIUC, Alina; FIȘTIC, Cristofor; CASAP, Alexandru; SCEBEC, Mihail. Forest fire detection and prediction system. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor. Vol.1, 1-3 aprilie 2020, Chișinău. Chișinău, Republica Moldova: 2020, pp. 224-227. ISBN 978-9975-45-632-6.
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Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor
Vol.1, 2020
Conferința "Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor"
Chișinău, Moldova, 1-3 aprilie 2020

Forest fire detection and prediction system


Pag. 224-227

Gomeniuc Alina, Fiștic Cristofor, Casap Alexandru, Scebec Mihail
 
Technical University of Moldova
 
Disponibil în IBN: 19 iunie 2020


Rezumat

This paper discusses a Forest Fire Detection and Prediction System that is going to cope with one of the main problems of nowadays, namely wildfires. Huge losses and serious threats to ecosystems are common consequences of forest fires. This work describes a forest fire controller logic and decision-making methods aiming at enhancing forest fire prevention and detection systems. The environmental monitoring of several dynamic risk factors is performed with wireless sensor networks. With respect to this, meteorological variables such as humidity, temperature, etc. are measured in real-time to estimate the existence of forest fire risks in the short-term and to detect the recent occurrence of fire outbreaks over different forest areas and notify fire fighters.

Cuvinte-cheie
IoT, cloud, protocol, automation, sensor, network, notification, data analysis, Microcontroller