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Publishing Language: Chinese | Open Access

Research of non-contact electrical impedance tomography system based on LabVIEW

Xiaoxin WANG1( ), Yanli ZHANG1, Meng BAI1, Wei XI1, Bo DANG1, Hongli HU2
Shaanxi Key Laboratory of Measurement and Control Technology for Oil and Gas Wells, Xi’an Shiyou University, Xi’an 710065, China
State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
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Abstract

Non-contact electrical impedance tomography (NEIT), as a new type of test and measurement technology, has the advantages of no radiation, non-contact and fast response. The image reconstruction part of traditional electrical tomography technology is usually performed off-line imaging on the MATLAB software platform, which is not conducive to real-time monitoring in industrial sites. Aiming at the above problems, this paper will design a LabVIEW-based electrical impedance tomography system, which can realize online data acquisition and real-time imaging. Through the impedance measurement system, the real part, imaginary part and phase component of impedance information are extracted. Combined with the image reconstruction algorithm compiled by LabVIEW, these three kinds of component information are imaged respectively. To improve the reconstruction accuracy, the image fusion algorithm based on principal component analysis is adopted to fuse image of real, imaginary, and phase imaging results. By the verification of the built two-phase flow test platform, the system can be effectively used for two-phase flow tomography under different media distributions.

CLC number: TP183

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Journal of Northwest University (Natural Science Edition)
Pages 563-571

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Cite this article:
WANG X, ZHANG Y, BAI M, et al. Research of non-contact electrical impedance tomography system based on LabVIEW. Journal of Northwest University (Natural Science Edition), 2023, 53(4): 563-571. https://doi.org/10.16152/j.cnki.xdxbzr.2023-04-007

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Received: 18 October 2022
Published: 25 August 2023
© The Editorial Department of Journal of Northwest University(Natural Science Edition)2023.

This is an open access article under the CC BY-NC-ND 4.0 license (https://creativecommons.org/licenses/by-nc-nd/4.0/).