Electrical capacitance tomography system for monitoring process flow in pipe

This paper presents the development system for monitoring process flow in pipe. The system consists of a cylindrical sensor with 8 surrounding electrodes attached on external surface. An electronic circuit has been realized for injecting charges into the object and collecting the node potentials around the sensor. Then the node potentials and the dielectric of small elements of cross section are calculated. The cross-section image reconstruction of dielectric distribution in pipe is based on the finite element method and linear back-projection algorithm (LBP) method. The iterative algorithm and threshold method also have been used to improve the image quality. Experimental results of the sensor filled with two different permittivity test phantoms have been displayed in gray level. The reconstructed images are closely resemble with the cross-section of the real object in pipe.