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http://dx.doi.org/10.6109/jkiice.2015.19.6.1506

A Study on forest fires Prediction and Detection Algorithm using Intelligent Context-awareness sensor  

Kim, Hyeng-jun (Department of Computer Sciecnce Engineering, Korea University of Technology and Education)
Shin, Gyu-young (Department of Computer Sciecnce Engineering, Korea University of Technology and Education)
Woo, Byeong-hun (Department of Computer Sciecnce Engineering, Korea University of Technology and Education)
Koo, Nam-kyoung (Department of Computer Sciecnce Engineering, Korea University of Technology and Education)
Jang, Kyung-sik (Department of Computer Sciecnce Engineering, Korea University of Technology and Education)
Lee, Kang-whan (Department of Computer Sciecnce Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.6, 2015 , pp. 1506-1514 More about this Journal
Abstract
In this paper, we proposed a forest fires prediction and detection system. It could provide a situation of fire prediction and detection methods using context awareness sensor. A fire occurs wide range of sensing a fire in a single camera sensor, it is difficult to detect the occurrence of a fire. In this paper, we propose an algorithm for real-time by using a temperature sensor, humidity, Co2, the flame presence information acquired and comparing the data based on multiple conditions, analyze and determine the weighting according to fire in complex situations. In addition, it is possible to differential management of intensive fire detection and prediction for required dividing the state of fire zone. Therefore we propose an algorithm to determine the prediction and detection from the fire parameters as an temperature, humidity, Co2 and the flame in real-time by using a context awareness sensor and also suggest algorithm that provide the path of fire diffusion and service the secure safety zone prediction.
Keywords
Fire prediction; Fire Detection System; Weighting factors; Sensor; Context-Awareness;
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