摘要
针对现有的自动消防水炮产品普遍存在火源定位时间长、定位精度低等问题,提出了一种基于红外阵列传感器的火源快速定位方法。在火灾发生时,利用红外热成像技术获取火源的红外图像,采用重心算法对火源重心坐标进行计算,并根据火源重心与图像中心的偏差对消防水炮进行反馈控制,实现火源精准快速定位。在此基础上,搭建了消防水炮实验平台,并对火源定位方法进行了实验验证。实验结果表明,本文提出的方法可有效提高消防水炮火源定位的效率和精度,同时还能为其他的视觉跟踪应用提供技术参考。
Aiming at the problems of long fire source positioning time and low positioning accuracy commonly existing in the current automatic fire water monitor products,a fast fire source positioning method based on infrared array sensor is proposed.In the event of fire,infrared thermal imaging technology is used to obtain the infrared image of the fire source,and the image barycenter algorithm is used to calculate the barycentric coordinates of the fire source.Feedback control of the fire water monitor is performed according to the deviation between the barycenter of the fire source and the image center so as to realize accurate and high-speed positioning of the fire source.On this basis,an experimental platform for fire water monitor is built,and the fire source positioning method is verified.The experimental results show that the proposed method can effectively improve the efficiency and accuracy of fire source positioning of fire water monitor.At the same time,the positioning method can also provide technical reference for other visual tracking applications.
作者
王洋
李向国
梅志千
朱灯林
WANG Yang;LI Xiangguo;MEI Zhiqian;ZHU Denglin(College of Mechanical and Electrical Engineering,Hohai University,Changzhou 213022,China)
出处
《系统仿真技术》
2022年第2期73-76,102,共5页
System Simulation Technology
基金
国家自然科学基金项目(52175223)
关键词
消防水炮
火源定位
红外阵列传感器
重心算法
fire water monitor
fire source positioning
infrared array sensor
barycenter algorithm
作者简介
通信作者:王洋,E-mail:77101470@qq.com,男,(1998-),江西九江人,硕士研究生,主要从事智能装备控制系统方面的研究;李向国,男,(1979-),吉林松原人,博士,主要从事机电系统控制及机器人相关技术研究。
