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

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.