Researching On Image Reconstruction Algorithm Based On NSSN In ECT System

As a kind of non-destructive and non-intrusive measurement, electrical capacitance tomography (ECT) technique can infer the distribution of the conductivity by measuring the electric potential parameter in the sensitivity field and then get the distribution of object field in the pipe. It has a wide application prospect in two-phase flow measurement with the advantages of low cost and non-invasion etc. As the key technology of ECT system research, image reconstruction algorithm has a significant impact on quality and speed of reconstructed image. More profound study is focused on the key problems such as optimized design of transducers'structure parameter, image reconstruction algorithm. The study we have done is as follows.1. Profound study is on the technical characteristics and the system composition of ECT system. The mathematical model of capacitance sensitivity field is presented according to the principle analysis of ECT system.By macro perspective, given the future prospects of its development. By analyzing the characteristics of electrical capacitance tomography, giving the advantage of algebra neural network algorithm in the electrical resistance tomography on image reconstruction.2. Taking 12-electrodes electrical capacitance tomography systems as research objects, computer simulation data of different structure parameters is received by using Matlab and ANSYS. The affection of structure parameter on sensor performance is studied by comparing the received data, too.3. More profound study is focused on the several kinds of typical reconstruction algorithms. Proposed a new type of neural network image reconstruction algorithm applied to the process of image reconstruction in electrical capacitance tomography system, then, improve it. In view of the problem of ill-posed characteristic, we divided the whole NSSN network into six sub-systems to reduce the scale of network, improve the training speed and the image quality particularly based on the flow pattern, etc. have been significantly improved.4. We design the simulation software of ECT. On that you can easily set the parameters of circular pipe, resistance sensors and distribution of flow. It also can solve the forward problem and the image reconstruction problem.