Data driven visualization of uncertainty in flow measurements

Patent metadata

Field	Value
Publication number	US-11073417-B2
Application number	US-201816203734-A
Country	US
Kind code	B2
Filing date	Nov 29, 2018
Priority date	Nov 29, 2018
Publication date	Jul 27, 2021
Grant date	Jul 27, 2021

Abstract

A computer-implemented method for visualizing uncertainty in flow measurements is provided. A non-limiting exemplary method includes reading, by a processor, a plurality of fluid flow measurements having a magnitude, a direction, and a location. The method plots a plurality of points on a first polar graph, each point representing the difference in fluid flow measurements between two of the plurality of fluid flow measurements at different locations and calculates an uncertainty boundary line based on the plurality of plotted points. The method filters, by the processor, the plurality of plotted points to remove plotted points outside of the uncertainty boundary line leaving only remaining plotted points and defines at least one cluster of remaining plotted points based on similar behavior of a subset of the remaining plotted points. The method may use the remaining plotted points to provide adaptive setup to tune a response in the fluid flow measurements.

First claim

What is claimed is:

1. A computer-implemented method comprising:
reading, by a processor, a plurality of fluid flow measurements having a magnitude, a direction, and a location;
plotting, by the processor, a plurality of points on a first polar graph, each point representing the difference in fluid flow measurements between two of the plurality of fluid flow measurements at different locations;
calculating, by the processor, an uncertainty boundary line based on the plurality of plotted points;
filtering, by the processor, the plurality of plotted points to remove plotted points outside of the uncertainty boundary line to leave only remaining plotted points;
defining, by the processor, at least one cluster of remaining plotted points based on similar behavior of a subset of the remaining plotted points; and
presenting, by the processor, the one cluster of remaining plotted points on a second polar graph,
wherein the remaining plotted points are used to provide adaptive setup to tune a response in the fluid flow measurements, and
wherein the tuning is used to enhance the accuracy of a fluid flow measurement sensor within a zone.

2. The computer-implemented method of claim 1 , wherein the uncertainty boundary line is calculated according to the equation
Magnitude inv = a ( b −cos(α)),

where Magnitude inv is a magnitude with a maximum in a center of the first polar plot, α is the angle of the difference between two neighboring fluid flow measurements within the plurality of fluid flow measurements, and a and b are parameters of the equation that fits the uncertainty boundary line to exclude an uncertainty zone within the first polar plot.

3. The computer-implemented method of claim 1 , wherein the behavior of a subset of the remaining plotted points comprises a direction of flow.

4. The computer-implemented method of claim 1 , wherein the tuning is based on a time window for integration of the fluid flow measurements.

5. The computer-implemented method of claim 1 , where a plotting angle is proportional to a change in direction between two fluid flow measurements among the plurality of fluid flow measurements and a plotting radius is proportional to an inverse of an average of the velocities in two fluid flow measurements.

6. A system comprising:
a memory; and
a processor coupled to the memory, the processor operable to execute instructions stored in the memory, the instructions causing the processor to:
read a plurality of fluid flow measurements having a magnitude, a direction, and a location;
plot a plurality of points on a first polar graph, each point representing the difference in fluid flow measurements between two of the plurality of fluid flow measurements at different locations;
calculate an uncertainty boundary line based on the plurality of plotted points;
filter the plurality of plotted points to remove plotted points outside of the uncertainty boundary line to leave only remaining plotted points;
define at least one cluster of remaining plotted points based on similar behavior of a subset of the remaining plotted points; and
present the one cluster of remaining plotted points on a second polar graph,
wherein the remaining plotted points are used to provide adaptive setup to tune a response in the fluid flow measurements, and
wherein the tuning is used to enhance the accuracy of a fluid flow measurement sensor within a zone.

7. The system of claim 6 , wherein the uncertainty boundary line is calculated according to the equation
Magnitude inv = a ( b −cos(α)),

where Magnitude inv is a magnitude with a maximum in a center of the first polar plot, α is the angle of the difference between two neighboring fluid flow measurements within the plurality of fluid flow measurements, and a and b are parameters of the equation that fits the uncertainty boundary line to exclude an uncertainty zone within the first polar plot.

8. The system of claim 6 , wherein the behavior of a subset of the remaining plotted points comprises a direction of flow.

9. The system of claim 6 , wherein the tuning is based on a time window for integration of the fluid flow measurements.

10. The system of claim 6 , where a plotting angle is proportional to a change in direction between two fluid flow measurements among the plurality of fluid flow measurements and a plotting radius is proportional to an inverse of an average of the velocities in two fluid flow measurements.

11. A computer program product for visualizing flow measurements, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer, to cause the computer to perform a method comprising:
reading a plurality of fluid flow measurements having a magnitude, a direction, and a location;
plotting a plurality of points on a first polar graph, each point representing the difference in fluid flow measurements between two of the plurality of fluid flow measurements at different locations;
calculating an uncertainty boundary line based on the plurality of plotted points;
filtering the plurality of plotted points to remove plotted points outside of the uncertainty boundary line to leave only remaining plotted points;
defining at least one cluster of remaining plotted points based on similar behavior of a subset of the remaining plotted points; and
presenting the one cluster of remaining plotted points on a second polar graph,
wherein the remaining plotted points are used to provide adaptive setup to tune a response in the fluid flow measurements, and
wherein the tuning is used to enhance the accuracy of a fluid flow measurement sensor within a zone.

12. The computer program product of claim 11 , wherein the uncertainty boundary line is calculated according to the equation
Magnitude inv = a ( b −cos(α)),

where Magnitude inv is a magnitude with a maximum in a center of the first polar plot, α is the angle of the difference between two neighboring fluid flow measurements within the plurality of fluid flow measurements, and a and b are parameters of the equation that fits the uncertainty boundary line to exclude an uncertainty zone within the first polar plot.

13. The computer program product of claim 11 , wherein the behavior of a subset of the remaining plotted points comprises a direction of flow.

14. The computer program product of claim 11 , wherein the tuning is based on a time window for integration of the fluid flow measurements.

Assignees

• IBM

Inventors

• Bueno Buoro Alvaro
• Borrel Paul
• Menezes Daniel Specht

Classifications

• G01P5/001 Primary

  Full-field flow measurement, e.g. determining flow velocity and direction in a whole region at the same time, flow visualisation · CPC title

• G01F7/00 Primary

  Volume-flow measuring devices with two or more measuring ranges; Compound meters · CPC title

• G06F17/13

  Differential equations (using digital differential analysers G06F7/64) · CPC title