会议论文详细信息
International Conference on Information Technologies in Business and Industry 2016
An algorithm of the wildfire classification by its acoustic emission spectrum using Wireless Sensor Networks
计算机科学;经济学;工业技术
Khamukhin, A.A.^1 ; Demin, A.Y.^1 ; Sonkin, D.M.^2 ; Bertoldo, S.^3 ; Perona, G.^4 ; Kretova, V.^1
Institute of Cybernetics, Tomsk Polytechnic University, 30, Lenina Ave., Tomsk
634050, Russia^1
Group Company INCOM, 14a Rosa Luxemburg Str., Tomsk
634050, Russia^2
Department of Electronics and Telecommunications, Politecnico di Torino, 24 Corso Duca degli Abruzzi, Torino, Italy^3
CINFAI (National Consortium for the Physics of Atmospheres and Hydrospheres), Local Research Unit at Politecnico di Torino, 24 Corso Duca degli Abruzzi, Torino, Italy^4
关键词: Acoustic-emission spectrum;    Control center;    Its efficiencies;    Low and high frequencies;    Network traffic;    Sensor network nodes;    Short time intervals;    Wireless sensors networks (WSNs);   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/803/1/012067/pdf
DOI  :  10.1088/1742-6596/803/1/012067
来源: IOP
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【 摘 要 】

Crown fires are extremely dangerous as the speed of their distribution is dozen times higher compared to surface fires. Therefore, it is important to classify the fire type as early as possible. A method for forest fires classification exploits their computed acoustic emission spectrum compared with a set of samples of the typical fire acoustic emission spectrum stored in the database. This method implies acquisition acoustic data using Wireless Sensors Networks (WSNs) and their analysis in a central processing and a control center. The paper deals with an algorithm which can be directly implemented on a sensor network node that will allow reducing considerably the network traffic and increasing its efficiency. It is hereby suggested to use the sum of the squares ratio, with regard to amplitudes of low and high frequencies of the wildfire acoustic emission spectrum, as the indicator of a forest fire type. It is shown that the value of the crown fires indicator is several times higher than that of the surface ones. This allows classifying the fire types (crown, surface) in a short time interval and transmitting a fire type indicator code alongside with an alarm signal through the network.

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