电容层析成像混联归一化模型研究

Research on Hybrid Normalization Model of Electrical Capacitance Tomography

在电容层析成像图像重建过程中,为更好地反映两相/多相介质介电常数的分布,提出了一种电容混联归一化模型。基于剖分单元到中心电场线的最小距离与最大距离的比值,确定了电容混联归一化模型的加权因子,并据此计算灵敏度矩阵。进行了仿真实验及静态测试,结果表明重建图像的精度及形状保真度均获得明显提高。

During the process of image reconstruction for electrical capacitance tomography technology, a hybrid normalization model of capacitance measurements is presented to obtain better describe of the permittivity distribution of the two-phase or muhiphase media. The weight factor used in the presented hybrid normalization model is calculated based on the ratio of the minimum distance to the maximum distance between the subdivision element and electric field center line. And then, the corresponding sensitivity matrix is computed. Simulation and static test are carried out and the results show that both the accuracy and the shape fidelity can be improved obviously.