Multiple-excitation multiple-receiving (MEMR) capacitance tomography
US-9581560-B2 · Feb 28, 2017 · US
US10488236B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10488236-B2 |
| Application number | US-201615051109-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 23, 2016 |
| Priority date | Feb 23, 2016 |
| Publication date | Nov 26, 2019 |
| Grant date | Nov 26, 2019 |
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The present invention provides a system and method for velocity vector field calculation at the voxel level of a multi-phase flow system using Electrical Capacitance Volume Tomography sensors.
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What is claimed is: 1. A system for generating a velocity profile of a vessel interior or other object, the system comprising: a capacitance sensor device comprising a plurality of electrodes arranged in a plurality of planes for placement around the vessel or the object, wherein the capacitance sensor device is adapted to provide electric field distribution and sensor sensitivity in three geometric dimensions; data acquisition electronics in communication with the capacitance sensor device for receiving input data from the capacitance sensor device, the data acquisition electronics is comprised of a measurement circuit adapted to receive current from a plurality of capacitance pairs formed by pairs of the plurality of electrodes of the capacitance sensor device and to convert the received current to an output voltage; a processing system in communication with the data acquisition electronics, the processing system programmed with instructions for executing on the processing system to: 1) receive two successive capacitance measurements for a first and second frame taken from the capacitance sensor device; 2) determine the time interval between the capacitance measurements by the inverse of frame rate; 3) reconstruct an image from the capacitance measurements of the first frame; 4) obtain an initial volumetric permittivity distribution inside the vessel; 5) calculate a sensitivity gradient numerically from sensor sensitivity distribution and voxel dimensions; and 6) determine a three dimensional velocity profile from a time rate change of capacitance, the initial volumetric permittivity distribution and the sensitivity gradient. 2. The system according to claim 1 , wherein the capacitance sensor device is comprised of at least two planes of electrodes to provide sensor sensitivity in the axial and radial directions. 3. The system according to claim 1 , wherein the processing system is programmed with an image reconstruction algorithm. 4. The system according to claim 3 , wherein the image reconstruction algorithm is adapted to provide real-time imaging of multiphase flow within the vessel. 5. The system according to claim 1 , wherein the processing system is programmed to calculate capacitance data from the input data received by the data acquisition electronics. 6. The system according to claim 1 , wherein the processing system is programmed with instructions to: 1) convert a three-dimensional image into an image vector, wherein elements of the image vector are voxels of the three-dimensional image; 2) define a three-dimensional sensitivity matrix related to the image vector and based on geometry of the geometrically three-dimensional capacitance sensor device and a matrix of measured capacitance; 3) compute a volume image vector using a reconstruction algorithm selected based on the three-dimensional sensitivity matrix and matrix of the measured capacitance; and 4) convert the volume image vector to the three-dimensional volume-image. 7. The system according to claim 1 , wherein the processing system is programmed with instructions to determine the three dimensional velocity profile based on Linear Back Projection or Landweber Iteration methods. 8. The system according to claim 1 , wherein the processing system is programmed with instructions to determine the three dimensional velocity profile in real-time. 9. The system according to claim 1 , wherein the capacitance sensor device is an adaptive ECVT sensor. 10. The system according to claim 1 , wherein the processing system is programmed with instructions to: 1) determine second derivatives of the capacitance measurements; 2) determine a second order gradient of a sensitivity matrix of the sensor; and 3) determine acceleration vector fields from the second derivatives of the capacitance measurements and the second order gradient of the sensitivity matrix.
by measuring the direct influence of the streaming fluid on the properties of a detecting optical wave · CPC title
Full-field flow measurement, e.g. determining flow velocity and direction in a whole region at the same time, flow visualisation · CPC title
by measuring electrical currents passing through the fluid flow; measuring electrical potential generated by the fluid flow, e.g. by electrochemical, contact or friction effects (G01F1/58 takes precedence) · CPC title
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