摘要
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。
Fire detection can prevent,aiming at the shortage of the current building fire detection method,laser technology is introduced into the application of building fire detection in this paper. Laser technology is used to collect physical quantity when fire occurs and it fire disaster is used as feature vectors of building fire detection,and then pattern recognition algorthim—support vector machine is used for identification and inspection of building fire disaster,the building fire detection performance is tested by specific experimental platform. The results show that the proposed method can obtain high detection rate results of building fire detection and reduce the false alarm rate,which can reduce the loss caused by fire.
出处
《激光杂志》
北大核心
2016年第4期29-32,共4页
Laser Journal
基金
河南教育厅基金项目(H3JY0200234)
关键词
激光技术
火灾检测
建筑物
模拟测试
laser technology
fire detection
building
simulation test