A Comparative Study of Safe Tomography Techniques in Implementation of Industrial Process Measurements

Abstract

Electrical Impedance Tomography (EIT) is a new technique for industrial imaging that can be used to visualize the runtime changes of impedance entire along a pipeline to measure the industrial continuous processes of flow velocity profile distribution. This paper proposes a full three-dimensional (3D) pipeline sensing strategy that considers the 3D nature of the EIT sensing field. The proposed strategy includes a new 3D sensing system and an implementation of the fast-forward solver using Finite Element Modelling (FEM). In this paper, we have two different techniques of image reconstruction inverse solver. The implementation of the one-step Gauss-Newton solver reconstruction inverse solution algorithm is introduced firstly, and then the implementation of Graz consensus reconstruction algorithm for EIT (GREIT) solver reconstruction inverse solution algorithm is introduced. A comparison of the results of both techniques is introduced also. An application of auto/cross-correlation function for the reconstructed centered images obtained by the EIT system for the box moves from upstream sensing section to downstream sensing section on the outeredge of the pipeline are also introduced. According to the correlation test results of our proposal, the best fit of the correlation coefficient to images was distinguished with a higher correlation coefficient between 0.8687 and 0.998 for one-step Gauss-Newton solver and 0.5575 and 0.9115 for GREIT solver.