基于模糊视觉的火场快速定位系统的设计  

Design of fire-ground rapid positioning system based on fuzzy vision

作　　者：李国辉[1] LI Guohui(Tianjin Vocational Institute,Tianjin 300410,China)

机构地区：[1]天津职业大学,天津300410

出　　处：《现代电子技术》2016年第18期130-134,共5页Modern Electronics Technique

基　　金：国家自然科学基金项目(11001196)

摘　　要：传统的火场监控系统在进行火灾快速定位时,容易受到环境中不确定因素的干扰,导致定位结果不准确,对火场细节辨识精度较低。因此,提出基于模糊视觉的火场车快速定位系统,系统通过模糊视觉传感器对火场进行实时监控,采用嵌入式视频服务器获取火场图像,并将图像数据传递到主机,主机中的火场定位系统实现火场的准确定位。定位系统设计可实现火场视频图像的获取、图像数据的预操作、视频图像显示并将图像信息传递给下位机硬件模块中的主调控器等目标。采用模糊视觉技术,依据火场细节模糊视觉特征识别模型,描述外界因素的不利影响,按照模型的输出结果获取火场细节特征的像素密度,准确识别火场细节状态,实现火场快速定位。实验结果表明所设计系统能够对火场进行快速、准确的定位。The traditional fire?ground monitoring system is easy to be disturbed by uncertain factors in the environmentwhen fire rapid positioning is executed,so the positioning result is inaccurate,and the identification accuracy of fire details islow. Therefore,a fire?ground fast positioning system based on fuzzy vision is put forward,which monitors the fire?ground in realtime with the fuzzy vision sensor,acquires the fire?ground image by means of the embedded video server,and transmits the imagedata to the host computer. And then the fire?ground location system in host computer locates the fire?ground accurately. The posi?tioning system can acquire the fire scene video image,pre?operate the image data,display the video image,and transmit the im?age information to the main controller in the hardware module of slave compute. The fuzzy vision technology is used to describethe adverse impact of external factors according to the fuzzy vision feature recognition model of fire details. According to the out?put results of the model,the pixel density of fire scene detail characteristic is acquired,and the fire?ground detail state is recog?nized accurately to locate the fire scene quickly. The experimental results show that the designed system can locate the fire?ground rapidly and accurately.

关 键 词：模糊视觉 火场定位 嵌入式视频服务器 火场细节 

分 类 号：TN953.7.34[电子电信—信号与信息处理] TP391[电子电信—信息与通信工程]