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火灾检测可以预防火灾的发生,是建筑物火灾预防和报警的核心技术,针对当前建筑物火灾检测效果差的局限性,将激光技术引入到建筑物火灾检测应用中。首先采用激光技术收集火灾发生时的物理量,并将它们作为建筑物火灾检测的特征向量,然后采用模式识别算法—支持向量机进行建筑物火灾识别和检测,最后在实验平台对建筑物火灾检测性能进行测试。结果表明,本文方法获得了高检测率的建筑物火灾检测结果,降低了建筑物火灾检测的误测率,能够减少建筑物火灾引起的损失
Fire detection can prevent the occurrence of fire and is the core technology of building fire prevention and alarm. In view of the limitations of current fire detection in buildings, laser technology is introduced into fire detection of buildings. First of all, using laser technology to collect the physical quantities of fire, and using them as the eigenvector of building fire detection, and then using pattern recognition algorithm - support vector machine to identify and detect building fires, and finally on the experimental platform for building fire detection performance carry out testing. The results show that the method of this paper obtains the fire detection results of buildings with high detection rate, reduces the false detection rate of fire detection in buildings and can reduce the losses caused by building fires