New developments for an on-line FPGA-based Electromagnetic Tomography (EMT) System
Jianxing Xu2, Ziqi Chen1, J R Salas-Avila1, Yining Zhang1, Wuliang Yin1*, Yuedong Xie3, Shupei Wang4, Mingyang Fan2, Haibin Hao2 and Jiyao Li3
1Department of Elec. and Electronic Engineering, University of Manchester, Manchester, M13 9PL, UK
2Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, PR China
3School of Instrument Science and Opto-electronic Engineering, Beihang University, Beijing, China
4Manchester Advanced Intelligent Equipment Research& Innovation Centre Ltd, Manchester, UK
This paper presents an FPGA-based digital MIT (Magnetic Induction Tomography) system designed for online real-time monitoring in the metal production industry. A Zynq-7020 Soc-based module is used to generate excitation signal, implement I/Q demodulation, control channel multiplexing and the communication with a host PC. All the hardware has been integrated together in a standard 19inch rack instrument with the size of 25mm×33mm×15.5mm. The excitation signal frequency covers a wide range from 0.1 Hz to 500 kHz. When fitted with an 8-coil MIT sensor, the system is capable of real-time imaging with a fast speed of 131 frames/s and typical SNR of between 65 dB – 92 dB.. A high temperature sensor is designed with cobalt-oxide as formers, which can be used for process in excess of 1200 degrees. A Graphical User Interface (GUI) based on LabVIEW situated on the host PC is designed for communicating with the instrument and perform real time imaging reconstruction with an LBP algorithm. Additional algorithms such as Tikhonov regulation, SVD (singular value decomposition) and SIRT (Simultaneous Iterative Reconstruction Technique) are implemented in MATLAB for offline data analysis and further image processing. During the experiments, the system has been tested in a molten converter slag solidification process gaining useful new insights.
Keywords: Electromagnetic Tomography, High Temperature Electromagnetic Sensor, Online Imaging
Industrial Application: Melting Process Monitoring, Industrial Tomography
Copyright © International Society for Industrial Process Tomography, 2021. All rights reserved.