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Research of multi-sensor information fusion fire detection system

机译:多传感器信息融合火灾探测系统研究

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To reduce false fire alarms, combining with the character of fire signal, a kind of intelligent fire detection system of multi-sensor information fusion based on fuzzy neural network is proposed in this paper . This fire detector fuses three sensor data including temperature, smoke and CO air which have obvious character in fire and fire probability can be obtained by intelligent arithmetic of fuzzy neural network. As a result, The accuracy of the fire detection is improved effectively and the feasibility and validity of the system are proved by the simulation effects.
机译:为了减少火灾虚警,结合火灾信号的特点,提出了一种基于模糊神经网络的多传感器信息融合智能火灾探测系统。该火灾探测器融合了温度,烟气和一氧化碳等三种传感器数据,具有明显的着火特性,通过模糊神经网络的智能算法可以获得火警概率。结果,有效地提高了火灾探测的准确性,并通过仿真效果证明了该系统的可行性和有效性。

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