Two-Phase Flow Regime Three-Dimensonal Visualization Using Electrical Capacitance Tomography – Algorithms and Software

Abstract

This paper presents the software for comprehensive processing and visualization of 2D and 3D electrical tomography data. The system name as TomoKIS Studio has been developed in the frame of DENIDIA international research project and has been improved in the frame of Polish Ministry of Science and Higher Education Project no 4664/B/T02/2010/38. This software is worldwide unique because it simultaneously integrates the process of tomographic data acquisition, numerical FEM modeling and tomographic images reconstruction. The software can be adapted to specific industrial applications, particularly to monitoring and diagnosis of two-phase flows. The software architecture is composed of independent modules. Their combination offers calibration, configuration and full-duplex communication with any tomographic acquisition system with known and open communication protocol. The other major features are: online data acquisition and processing, online and offline 2D/3D images linear and nonlinear reconstruction and visualization as well as raw data and tomograms processing. Another important ability is 2D/3D ECT sensor construction using FEM modeling. The presented software is supported with the multi-core GPU technology and parallel computing using Nvidia CUDA technology.

The concept of 3D ECT system with increased border area sensitivity for crystallization processes diagnosis

“…For purposes of the image reconstruction process, the author used his software for comprehensive processing and visualization of 3D electrical tomography data (Banasiak et al , 2017). Apart from the reconstruction algorithms, the software has implemented modules for mesh generation, electrodes layouts definition, electric field and capacitances calculation, sensor sensitivity distribution analysis, and finally tomography device connection and configuration.…”

Big Data-Driven Contextual Processing Methods for Electrical Capacitance Tomography

“…Furthermore, the AGI element of the contextual approach first introduced in [32] is quantitatively tested here for the first time. Thanks to the proposed EBDDFS system, data manipulation and mining is less intensive in terms of computational resources than classical approaches to processing ECT data [11], [12], [21].…”

“…The data from EBDDFS were first pretreated from image sequences and raw data into discrete series of values, such as matrices and vectors. The selection of parameters was made based on previous work [11], [32], [31]. The minimal time window for analysis was set to 30 s. Tracking changes in these values within the assumed time window allows for classification of the labeled datasets using any standard binary classifier.…”

“…1. The CDPM is able to support ECT with a data-driven system, which enhances its ability to understand process behavior [11]- [13]. Better understanding of an industrial process can lead to more efficient monitoring and control, better design, and eventually to its optimization [10].…”

Ultrasound tomography measuring system for acquisition and analysis data

“…There is a clear tendency in the industry to implement more optimal related functions with an emphasis on active inspection and monitoring [24][25][26][18][19][20][21][22]. There are many optimization methods [1,[8][9][10][11][12][13][14][15], but to solve the inverse problem in the ultrasound tomography can use [2][3][4][5][6][7]16,17,23].…”