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作 者:杨国贤
出 处:《住宅产业》2024年第4期52-55,共4页Housing Industry
摘 要:常规的楼宇火灾智能识别节点设定多为分布式,其虽分布密集但识别压力过大,导致其误识率较高。对此,本文提出基于图像处理的智能楼宇火灾识别方法和设计,并以此为基础建立图像处理智能楼宇火灾智能识别模型,采用追踪定位辅助测定的方式来实现火灾智能识别,最后运用实验证明该方法的先进性。最终得出,在图像处理技术辅助下设计的智能楼宇火灾识别方法更加可靠、安全,识别效率更高、针对性更强,具有实际的应用意义和创新价值。Conventional building intelligent fire identification nodes are mostly set as distributed.Although they are densely distributed,the identification pressure is too large,resulting in a high misidentification rate.In this regard,this paper puts forward the intelligent building fire identification method and design based on image processing,and establishes the intelligent building fire recognition model based on this,adopts the tracking and positioning assisted measurement to realize the intelligent fire identification,and finally uses the experiment to prove the advanced nature of the method.Finally,it is concluded that the intelligent building fire identification method designed with the help of image processing technology is more reliable,safe,more efficient and more targeted,which has practical application significance and innovation value.
关 键 词:图像处理 智能楼宇 火灾智能识别 识别方法 信号捕捉 远程感应识别
分 类 号:TU855[建筑科学] TP391.41[自动化与计算机技术—计算机应用技术] TU998.1[自动化与计算机技术—计算机科学与技术]
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