A forest fire prediction system based on rechargeable wireless sensor networks
作者： Gao Demin , Lin Haifeng , Jiang Anna , Wu Guoxin
DOI: 10.1109/ICNIDC.2014.7000334
关键词: Fuzzy set 、 Real-time computing 、 Scheme (programming language) 、 Prediction system 、 Wireless sensor network 、 Set (abstract data type) 、 Human behavior 、 Weather data 、 Computer science 、 Fire risk
摘要: As the most important factors, local weather observations, environments and human behaviors' characteristics are found highly correlated to forest fire occurrence. Therefore, we introduce a set of fuzzification assess risk in study area establish quantitative potential scheme. The wireless sensor network's technology was utilized for collecting 24-hour data continuously, which provides high chance reflect accurately status environment. Depending on system, can obtain days possibility fires danger paid special attention prevent guards.
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