Research of Computed Tomography Inversion Algorithm for Coal Face Based on Ground Penetrating Radar
Currently,mine safety is the focal point in mining activity.As a new and advanced approach for geophysical prospecting,the ground penetrating radar (GPR) is used in the mine disaster detection.Aiming to solve the restriction of low resolution and limited depth of the GPR in the deep coal seam detection,the computed tomography (CT) technology is employed for deep disaster detection in this paper.A large number of coal seam digital simulation model,including different internal diseases,are established,and the simulation data are processed by using the Least Square QR-factorization (LSQR) inversion algorithm,which has the good performance in saving computational time and memory space.Additionally,the influences of iteration precision and grid size on the effect of inversion are analyzed.The inversion results show good agreements with simulation model feature configurations,and the diseases objects can be detected.
GPR CT inversion sparse matrix coal face disaster sources
YANG Feng DU Cui PENG Meng FENG Zequan SUN Yangyang LI Enlai
School of Mechanical Electronic & Information Engineering, China University of Mining and Technology School of Mechanical Electronic & Information Engineering College of Geoscience and Surveying Engineering, China University of Mining and Technology(Beijing)B
国际会议
太原
英文
686-689
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）