基于压缩感知的高炉料面图像重建算法  

Image reconstruction algorithm for BF burden surface based on compressive sensing

作　　者：赵文慧[1] 王利强[1] 孔维敬[1] ZHAO Wen-hui;WANG Li-qiang;KONG Wei-jing(School of Electronic Engineering,Tianjin University of Technology and Education,Tianjin 300222,China)

机构地区：[1]天津职业技术师范大学电子工程学院,天津300222

出　　处：《天津职业技术师范大学学报》2020年第2期31-34,共4页Journal of Tianjin University of Technology and Education

基　　金：天津市自然科学基金资助项目(18JCQNJC71000);天津职业技术师范大学科研发展基金资助项目(KJ1717).

摘　　要：针对目前采用的建立复杂的数学模型模拟高炉内部炼铁过程在实际生产中的实时性和可应用性不强的问题,提出了一种基于压缩感知的高炉料面图像重建算法。该算法通过小波变换构建稀疏矩阵和随机高斯矩阵直接获取部分料面图像信息,再利用正交匹配追踪算法重建原始的高炉料面图像。仿真结果表明:本研究提出的图像重建算法效果良好。The real-time and applicability of simulating the ironmaking process in blast furnace by establishing complex mathematical model don′t work well in actual production.To solve this problem,an image reconstruction algorithm for BF burden surface is proposed based on compressive sensing.Sparse matrix is constructed by wavelet transform and random Gaussian matrix is constructed directly to obtain part of the image information of BF burden surface.Then the original image information is reconstructed by orthogonal matching pursuit algorithm.The final simulation results show that the image reconstruction algorithm proposed works well.

关 键 词：压缩感知 高炉料面 图像重建 小波变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]