EVT4
Data acquisition system for electrical capacitance tomography

The EVT4 multi-channel system can have up to 32 channels in 8 front-end boards, with an individual ADC in each channel. 2D and 3D imaging is possible.

The SSHV method is used for capacitance measurement. The measurement range is from 2 fF to 1000 fF. The SNR is from 30 dB for 2 fF to 61 dB for 1000 fF.

The front-end boards are connected to the sensor electrodes using coaxial cables and SMB connectors.

The EVT4 data acquisition system is a multi-channel device based on fast programmable logic devices and multi gigabit serial transmission.

The design is focused on a high frame rate required in dynamic imaging. The frame rate is equal to 300 frames per second for a sensor with 32 electrodes (992 combinations with repetition of electrode pairs).

The EVT4 data acquisition system communicates with a host computer using Ethernet, TCP/IP and UDP/IP.

The EVT software enables collecting measurement data, on-line reconstruction and monitoring and data export to an open format.

The system can work with a custom designed 2D or 3D capacitance sensor.

The system function (sensitivity matrix) can be imported to the reconstruction software.

The EVT4 is a new generation of ECT data acquisition system developed using experience of our team from previous designs.

e-mail: waldemar.smolik[at]pw.edu.pl

  1. W. T. Smolik, J. Kryszyn, B. Radzik, M. Stosio, P. Wróblewski, D. Wanta, Ł. Dańko, T. Olszewski, R. Szabatin, "Single-shot high-voltage circuit for electrical capacitance tomography", Measurement Science and Technology, Vol. 28, No 2, 2017, DOI: https://doi.org/10.1088/1361-6501/aa50e1
  2. J. Kryszyn, P. Wróblewski, M. Stosio, D. Wanta, T. Olszewski, W. T. Smolik, "Architecture of EVT4 data acquisition system for electrical capacitance tomography", Measurement, Vol. 101, pp. 28-39, 2017, DOI: http://dx.doi.org/10.1016/j.measurement.2017.01.020
  3. J. Kryszyn, D. Wanta, W. T. Smolik, "Gain Adjustment for Signal-to-Noise Ratio Improvement in Electrical Capacitance Tomography System EVT4", IEEE Sensors Journal, Vol. 17, Issue 24, pp. 8107 - 8116, 2017, DOI: http://dx.doi.org/10.1109/JSEN.2017.2744985
  4. D. Wanta, W. T. Smolik, J. Kryszyn, P. Wróblewski, M. Midura, "A Run-Time Reconfiguration Method for an FPGA-Based Electrical Capacitance Tomography System", Electronics, Vol. 11, Issue 4, 2022, DOI: http://dx.doi.org/10.3390/electronics11040545