基于机器视觉的风口回旋区温度检测算法  

Raceway Section Temperature Measurement Algorithm Based on Machine Vision

作　　者：欧阳奇[1] 温良英[1] 白晨光[1] 张生富[1] 

机构地区：[1]重庆大学材料科学与工程学院,重庆400044

出　　处：《钢铁研究学报》2007年第2期5-9,共5页Journal of Iron and Steel Research

基　　金：国家自然科学基金和宝钢集团公司联合资助项目(50374085)

摘　　要：应用机器视觉理论,引用微元积分思想建立了辐射图像信息与高炉风口回旋区二维温度场梯度分布的关系模型,并针对CCD非接触测量回旋区温度过程中因温度过高易出现CCD输出过饱和电流问题,提出了大于CCD噪声总量和防止饱和电流输出的快门时间控制模型。通过小型煤气燃烧实验和高炉风口现场实验表明:该温度检测算法正确,快门控制模型能有效地防止图像出现“白炽”现象,提高了温度测量峰值。The relational model based on machine vision between two-dimension temperature field grads distribution of the blast furnace raceway section and radiation image information is established by the calculus ideas. Due to the problem of CCD supersaturation current output in the process of CCD nowcontact raceway high temperature measurement, so the CCD shutter control model is also provided to prevent from the supersaturation current output and exceed the CCD noise signal. The results of experiments on a mini-type coal gas furnace and practice test show that the algorithm is accurate and credible, at the same time, the shutter control model, which is effective for avoiding image incandescence phenomena, improves temperature measurement range.

关 键 词：回旋区 煤粉燃烧 温度梯度 机器视觉 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]