An Image Reconstruction Algorithm of BF Burden Surface based on Compressive Sensing

At present, by establishing complex mathematical model to simulate the ironmaking process in Blast Furnace (BF), the real-time and applicability are not strong in actual production. To solve this problem, an image reconstruction algorithm for BF Burden surface based on Compressive Sensing is proposed. Sparse matrix is constructed by Discrete Cosine Transform (DCT) and random Gaussian matrix is constructed to obtain part of the image information of BF Burden surface directly. Then the original image information is reconstructed by orthogonal matching pursuit algorithm. The final simulation results show that the image reconstruction algorithm proposed in this study works well.