摘要
针对物流仓库空间大、物品堆放密集的特点,为解决传统的火灾监控方法探测的火灾烟气上升到一定高度就会稀释掉,影响温度与浓度的采集准确性,并且探测器的安装间距不宜过大、不能出现遮挡物的问题,提出一种基于计算机视觉的物流仓库火灾监控方法,根据物流仓库的尺寸与摆放划分区域,不同的区域设置不同的视频采集系统。首先利用HIS模型对运动物判断是否为火焰,然后通过分割对图像特征提取,输入神经网络后判断是否有火灾发生,利用实际的测试证明,该技术能够在大空间的物流仓库中准确判断火灾是否发生,具有很强的实用性。
In this paper, in view of the characteristics of the logistics warehouses, we proposed a means for the monitoring of the fire accidents in the logistics warehouses on the basis of computer vision and to install accordingly different video collection system for different locations. Then through an empirical test, we found that the technology could effectively and accurately judge whether a fire had broken out in a spatially large logistics warehouse.
出处
《物流技术》
北大核心
2014年第3期433-435,438,共4页
Logistics Technology
基金
科技型中小企业技术创新基金
