Fire detection system based on improved multi-sensor information fusion

YuLin Jiang

doi:10.1117/12.2667524

28 March 2023 Fire detection system based on improved multi-sensor information fusion

YuLin Jiang

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125660L (2023) https://doi.org/10.1117/12.2667524
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

In the fire detection system, the evidence of multiple sensors often conflicts with each other. If the classical DS (Dempster-Shafer) evidence theory is used for information fusion, it will lead to a high rate of misjudgment. In this paper, an improved DS evidence theory algorithm based on standard deviation is proposed and applied to the fire detection system to judge the fire state. This paper first describes the working principle of the system in detail, and then uses the overall standard deviation of sensor evidence to measure each sensor, judge the conflicting evidence items, then redefine the weight of each sensor according to the degree of conflict, modify the probability distribution of the conflict evidence. Finally, the DS combination rule calculation is performed to corrected Basic Probability Assignment (BPA) to obtain the fusion result. The experimental results show that the method proposed in this paper can effectively improve the evidence problems in the classical evidence theory, improves the fire identification ability and the speed of fire prediction, and greatly enhances the reliability of the system.

Citation Download Citation

YuLin Jiang "Fire detection system based on improved multi-sensor information fusion", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125660L (28 March 2023); https://doi.org/10.1117/12.2667524

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