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《Journal of Changchun University of Technology》 2018-04
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Sound-based indoor fire classification and prewarning system

SHEN Xiaobo;WANG Liuliu;LIU Yin;School of Electronic Engineering,Huainan Normal University;  
Sound signals are sampled with sensor array in lower computer and then amplified and detected.They are transferred to the upper computer through CAN bus and extracted to obtain the eighth-order AR model feature vectors.The vectors are classified into four levels of prewarning with BNNG algorithm.The result then is fed back to the lower computer through CAN bus and give the corresponding instructions to fire alarm linkage actions.Also,it is sent to the mobile terminal through WiFi.Fire simulation indicates that the accuracy of prewarning is higher than 90%
【Fund】: 安徽省高等学校自然科学重点项目(KJ2017A455);; 校级重点项目(2016xj01zd)
【CateGory Index】: TP277;TP212
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