In order to solve the problems of traditional smoke sensors which include disposable detection, high false alarm rate and low response speed, a new smoke detection sensor used in the early fire is proposed in this paper. Infrared photoelectric detection circuit is designed based on the light extinction principle to detect smoke concentration. Based on the analysis of fluid dynamics, the detection cavity and the miniature centrifugal fan are designed not only to realize the rapid and continuous

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... etection, but also to reduce the error of the next detection. The quantitative detection model of smoke concentration is established with the method of smoke equivalent, which is verified through experiments. According to the multiple quantitative values, the control system can judge the level of smoke concentration and control the corresponding alarm circuit to warn users. The result shows that the error of the quantification standard deviation is below 3.47 percent, which indicates the designed smoke sensor in this paper can realize the continuous online quantitative detection under the unsaturated state of smoke concentration. Copyright ⓒ 2015 SERSC 9 Verification and Analysis of Quantitative Detection Model This paper uses the remaining 50 groups of experimental data to verify the validity of the above quantitative detection model. The standard deviation could reflect the discrete degree of dataset in some extent. First, the standard deviations of each group (s=1 to 24) is calculated by using the Formula (13):