Research on CT inversion adopting prior constraints and singularity model for a longwall panel
YANG Zhen
WU Xiang
YAO Wenli
GUO Changfang
Abstract：When reconstructing the distribution of abnormal areas such as geological structure in the working face of coal mine with CT tomography,the projection angle is limited due to the influence of objective conditions of coal mining face,so the signals can only be transmitted at one side and received at the opposite side.The geological structure and its distribution in the working face cannot be accurately reconstructed due to the incomplete projection data and highly sparse coefficient matrix.Based on prior constraints,a reconstruction algorithm of total variation regularization was proposed.The boundary of fault zone is sharpened by adding the geological information revealed in two roadways of coal mining face as the condition of prior constraint while introducing the singularities to specific areas to improve the inversion accuracy.The results of numerical calculation and field test show that this algorithm can significantly enhance the reconstructed precision,sharpen the range affected by faults,and improve the recognition effect of abnormal areas.
Keywords：incomplete projectionpriori constraintstotal variation regularizationsingularity model
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 988-996 )