Capacitance Tomography Image Reconstruction And Sensitive Field Of Simulation Analysis

Electrical capacitance tomography is based on the principle of capacitance-sensitive process tomography technology, it has the advantages of no radiation, non-invasive, simple structure, low cost, broad scope and better security, as in the current main research directions development on process tomography, is a great development potential measurement.The research topic is divided into two parts:one of them is researching on the image reconstruction algorithms, the other is sensitive to the capacitance sensor field simulation. The research work and results are as follows:1. By writing software programs, in the several imaging algorithms are studied in this paper:linear back projection algorithm, iterative algorithm, regularization optimal correction algorithm etc., for example. This several imaging algorithms of image reconstruction results will be compared on the imaging quality and speed.2. By studying the imaging algorithm will be found that the picture quality to be improved, based on QR decomposition of a kind of imaging algorithm is proposed, This is the first issue of the imaging model is standardized and Tikhonov regularization treatment, QR decomposition of thinking then substituted into the equation of the imaging, Final results of image reconstruction can be3. Application of finite element simulation software ANSYS, we can use its electrostatic field analysis module to simulate the capacitance sensor sensitive, we can get potential distribution and electric intensity distribution of the simulation model, and we can analyses them.Through the image reconstruction experiment, experimental results show the algorithm has advantages as regards the quality of reconstruction image and the reconstruction rate.Through the sensor simulation, we can get potential distribution and electric intensity distribution of the simulation model, the simulation results reflect the characteristics of the sensor sensitivity field, high sensitivity in the incentive electrode nearby, center area far from incentive electrode sensitivity is lower.