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本文针对复合探测器提出了一种新的互相关算法。该算法首先对采集的数据信号特性进行分析,利用给出的模型公式描述出采集信号的变化特征,再根据互相关函数的性质分析和识别火灾信号与非火灾信号。本文论述了该方法的实现和对试验火以及油烟火的分析结果,证明该算法具有较好的灵敏度,能识别厨房油烟信号,具有较低的误报率。
In this paper, a new cross-correlation algorithm is proposed for composite detectors. The algorithm firstly analyzes the characteristics of the collected data signals, then uses the model formula to describe the characteristics of the collected signals, and then analyzes and identifies the fire signals and non-fire signals according to the nature of the cross-correlation function. This paper discusses the realization of the method and the analysis of the test fire and pyrotechnics, and proves that the algorithm has good sensitivity, can identify kitchen fumes signal, and has a lower false alarm rate.