System And Method For Characterizing NANO/MICRO Bubbles For Particle Recovery

Patent metadata

Field	Value
Publication number	US-2017011506-A1
Application number	US-201514797348-A
Country	US
Kind code	A1
Filing date	Jul 13, 2015
Priority date	Jul 6, 2015
Publication date	Jan 12, 2017
Grant date	—

Abstract

A control system for a froth flotation system receives inputs from one or more sensors comprising images of a fluid having bubbles and particles therein; some of the bubbles are attached to some of the particles and suspended in the fluid. For at least some of the bubbles with attached particles, it is determined from the inputs at least two contact angles at different locations at which the respective bubble is attached to the particle. These contact angles are used to predict a process improvement by which bubbles would more efficiently float the particles out of the fluid, as compared to that represented by the input images. An output is then provided for driving a graphical display screen, the output comprising at least one of: a) a graphical representation of the determined at least two contact angles; and b) a graphical representation of the predicted process improvement.

First claim

What is claimed is:

1 . An apparatus comprising:
one or more memories comprising computer-readable code and one or more processors, wherein the one or more processors are configured, in response to execution of the computer-readable code, to cause the apparatus to perform actions comprising: receive inputs from one or more sensors, the inputs comprising images of a fluid having bubbles and particles therein, of which at least some of the bubbles are attached to some of the particles and suspended in the fluid; for at least some of the respective bubbles with attached particles, determine from the inputs at least two contact angles at different locations at which the respective bubble is attached to the particle; using the determined contact angles, predict a process improvement by which bubbles would more efficiently float the particles out of the fluid as compared to the input images; and provide an output for driving a graphical display screen, the output comprising at least one of:
a graphical representation of the determined at least two contact angles; and
a graphical representation of the predicted process improvement.

2 . The apparatus according to claim 1 , the actions further comprising determine from the inputs a distribution of bubble sizes in the fluid, wherein the process improvement is predicted using the determined contact angles and the determined distribution.

3 . The apparatus according to claim 1 , wherein the predicted process improvement is selected from the group comprising:
changing size of bubbles injected into the fluid; changing concentration of bubbles injected into the fluid; and changing contact angles between bubbles and particles by adjusting concentration of a surfactant added to the fluid.

4 . The apparatus according to claim 1 , wherein the at least two contact angles are determined from the inputs by comparing relative pixel intensity to segment each of the input images into solid, liquid and gas regions.

5 . The apparatus according to claim 4 , wherein each bubble within the gas regions is assigned a unique identifier, and a calculated bubble volume is stored in the memory in association with each of the unique identifiers.

6 . The apparatus according to claim 4 , wherein each bubble in the gas region is characterized as either a bulk bubble, a surface bubble or a pancake bubble.

7 . The apparatus according to claim 1 , wherein the apparatus comprises a grid computing system in which each node of the grid computing system comprises a respective memory and processor, wherein:
at least some of the images of the fluid are deconstructed for processing at different ones of the nodes and the at least two contact angles are determined after reconstructing the deconstructed images after said processing.

8 . The apparatus according to claim 1 , wherein the inputs are received from multiple sensors, and for at least some of the bubbles at least two contact angles are determined from multiple images of the respective bubble taken from different angles.

9 . A computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by a computing system to cause the computing system to perform:
receiving inputs from one or more sensors, the inputs comprising images of a fluid having bubbles and particles therein, of which at least some of the bubbles are attached to some of the particles and suspended in the fluid; for at least some of the respective bubbles with attached particles, determining from the inputs at least two contact angles at different locations at which the respective bubble is attached to the particle; using the determined contact angles, predicting a process improvement by which bubbles would more efficiently float the particles out of the fluid as compared to the input images; and providing an output for driving a graphical display screen, the output comprising at least one of:
a graphical representation of the determined at least two contact angles; and
a graphical representation of the predicted process improvement.

10 . The computer program product according to claim 9 , wherein the program code executable by a computing system is further to cause the computing system to determine from the inputs a distribution of bubble sizes in the fluid, wherein the process improvement is predicted using the determined contact angles and the determined distribution.

11 . The computer program product according to claim 9 , wherein the predicted process improvement is selected from the group comprising:
changing size of bubbles injected into the fluid; changing concentration of bubbles injected into the fluid; and changing contact angles between bubbles and particles by adjusting concentration of a surfactant added to the fluid.

12 . The computer program product according to claim 9 , wherein the at least two contact angles are determined from the inputs by comparing relative pixel intensity to segment each of the input images into solid, liquid and gas regions.

13 . The computer program product according to claim 12 , wherein each bubble within the gas regions is assigned a unique identifier, and a calculated bubble volume is stored in the storage medium in association with each of the unique identifiers.

14 . The computer program product according to claim 12 , wherein each bubble in the gas region is characterized as either a bulk bubble, a surface bubble or a pancake bubble.

15 . The computer program product according to claim 9 , wherein the inputs are received from multiple sensors, and for at least some of the bubbles the at least two contact angles are determined from multiple images of the respective bubble taken from different angles.

16 . A method comprising:
receiving inputs from one or more sensors, the inputs comprising images of a fluid having bubbles and particles therein, of which at least some of the bubbles are attached to some of the particles and suspended in the fluid; for at least some of the respective bubbles with attached particles, determining from the inputs at least two contact angles at different locations at which the respective bubble is attached to the particle; using the determined contact angles, predicting a process improvement by which bubbles would more efficiently float the particles out of the fluid as compared to the input images; and providing an output for driving a graphical display screen, the output comprising at least one of:
a graphical representation of the determined at least two contact angles; and
a graphical representation of the predicted process improvement.

17 . The method according to claim 16 , further comprising determining from the inputs a distribution of bubble sizes in the fluid, wherein the process improvement is predicted using the determined contact angles and the determined distribution.

18 . The method according to claim 16 , wherein the at least two contact angles are determined from the inputs by comparing relative pixel intensity to segment each of the input images into solid, liquid and gas regions.

19 . The method according to claim 16 , wherein the method is performed by a grid computing system in which each node of the grid computing system comprises a respective memory and processor, the method further comprising:
deconstructing at least some of the images of the fluid and distributing the deconstructed images among different ones of the nodes for processing; and reconstructing the deconstructed

Assignees

• IBM

Inventors

• Bojovschi Alexe
• Liang Xi

Classifications

• G06T2207/30108

  Industrial image inspection · CPC title

• G06T7/0008 Primary

  checking presence/absence · CPC title

• G06T7/0042

  Physics · mapped topic

• G01N13/00

  Investigating surface or boundary effects, e.g. wetting power; Investigating diffusion effects; Analysing materials by determining surface, boundary, or diffusion effects (scanning-probe techniques or apparatus G01Q) · CPC title

• G01N33/566

  using specific carrier or receptor proteins as ligand binding reagents {where possible specific carrier or receptor proteins are classified with their target compounds} · CPC title