ECT Image Reconstruction based on Improved Sensitivity Field

Abstract

In the actual industrial production process, we often encounter two or more kinds of objects mixed flow conditions, this phenomenon is generally known as multiphase flow in academia and industry. Process Tomography (PT) is an important technique for Process detection in two-phase flow. Electrical Capacitance Tomography (ECT) is a kind of process Tomography technology. It has the advantages of non-invasive, low cost, simple structure, etc. It can be applied as long as the dielectric constant of each phase is different between the media. Its principle is to use a set of sensors installed on the device under test array electrodes, formed from different angles analyte scanning space of sensitive field, according to the measured object in the different medium has different dielectric constant of the properties, and the implementation of the distribution of the field of incomplete information extraction, using the appropriate image reconstruction algorithm, each phase of analyte pipe field distribution in the form of a visual image. This paper mainly improves the quality of reconstructed images by improving the sensitive field, and jointly uses ANSYS Maxwell, C++ and MATLAB for research.