IP Library Granted Patent US 10,029,284
Granted Patent B2
US 10,029,284 · App. 15/068,504 · Granted Jul 24, 2018

High capacity cascade-type mineral sorting machine and method

Inventors: Andrew Sherliker Bamber (Vancouver, CA); Andrew Csinger (Vancouver, CA); David Poole (Vancouver, CA)
Assignee: MineSense Technologies Ltd.
B07C5/361B07C5/04B07C5/34B07C5/3425B07C5/36B07C5/362
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Quick Facts
Patent No.
US 10,029,284
App. No.
15/068,504
Granted
Jul 24, 2018
Kind
B2
Abstract

Methods and systems for achieving higher efficiencies and capacities in sorting feed material are described herein, such as for separating desirable “good” rock or ore from undesirable “bad” rock or ore in an unsegregated, unseparated stream of feed material. In the disclosure, higher efficiencies are achieved with combinations of multiple sensor/diverter cells in stages in a cascade arrangement. The number and combination of cells in the cascade may be determined through a priori characterization of probabilities involved in sensor/rock and rock/diverter interactions, and mathematical determinations of the optimal number and combination of stages based on this probability. Further, as disclosed herein, desired sorting capacities are achieved through addition of multiple cascades in parallel until the desired sorting capacity is reached.

Claims (53)

1. A method of separating material, comprising:

receiving material into a first sorting cell, wherein the first sorting cell comprises a first sensor and a first diverter;

sorting, using the first sensor, the material into a first accept group and a first reject group based on a content of the received material;

receiving the first accept group into a second sorting cell, wherein the second sorting cell comprises a second sensor and a second diverter;

sorting, using the second sensor, the first accept group into a second accept group and a second reject group based on the content;

receiving the first reject group into a third sorting cell, wherein the third sorting cell has a third sensor and a third diverter;

sorting, using the third sensor, the first reject group into a third accept group and a third reject group based on the content;

wherein at least two of the first sorting cell, the second sorting cell, and the third sorting cell are configured to sort the content differently;

combining the third accept group and the second reject group;

receiving the third accept group and the second reject group into a fourth sorting cell, wherein the fourth sorting cell comprises a fourth sensor and a fourth diverter; and

sorting, using the fourth sensor, the third accept group and the second reject group into a fourth accept group and a fourth reject group based on the content.

2. The method of claim 1 , further comprising:

combining the second accept group and the fourth accept group to form a product group; and

combining the fourth reject group and the third reject group to form a reject group.

3. The method of claim 2 , further comprising

determining a number of sorting cells to separate the material to a desired utility; and

repeating the receiving, sorting, and combining steps for the determined number of sorting cells.

4. The method of claim 3 , wherein determining the number of sorting cells to separate the material to the desired utility is based on a probability of correctly determining content of the material and a probability of correctly diverting the material based on the content.

5. The method of claim 1 , wherein the material comprises ore, wherein sorting, using the first sensor, the ore into the first accept group and the first reject group based on the content of the received ore comprises:

exposing the first sensor to a mineral sample of the ore; and

measuring a spectral response of the mineral sample.

6. The method of claim 5 , wherein sorting, using the first sensor, the ore into the first accept group and the first reject group based on the content of the received ore further comprises:

comparing the measured spectral response to previously recorded response data from mineral samples of a known content; and

assigning a compositional value to the mineral sample based on the comparison.

7. The method of claim 1 , further comprising:

prior to receiving the material into the first sorting cell, classifying the material into fine fractions and coarse fractions.

8. The method of claim 7 , wherein the fine fractions are received into the first sorting cell, and wherein the coarse fractions are received into a different sorting cell.

9. A method of separating ore, comprising:

receiving ore into a first sorting cell, wherein the first sorting cell comprises a first sensor and a first diverter;

sorting, using the first sensor, the ore into a first accept group and a first reject group based on a content of the received ore by:

exposing the first sensor to a mineral sample of the ore; and

measuring a spectral response of the mineral sample;

receiving the first accept group into a second sorting cell, wherein the second sorting cell comprises a second sensor and a second diverter;

sorting, using the second sensor, the first accept group into a second accept group and a second reject group based on the content;

receiving the first reject group into a third sorting cell, wherein the third sorting cell has a third sensor and a third diverter; and

sorting, using the third sensor, the first reject group into a third accept group and a third reject group based on the content;

wherein at least two of the first sorting cell, the second sorting cell, and the third sorting cell are configured to sort the content differently.

10. The method of claim 9 , further comprising:

combining the third accept group and the second reject group;

receiving the third accept group and the second reject group into a fourth sorting cell, wherein the fourth sorting cell comprises a fourth sensor and a fourth diverter;

sorting, using the fourth sensor, the third accept group and the second reject group into a fourth accept group and a fourth reject group based on the content;

combining the second accept group and the fourth accept group to form a product group; and

combining the fourth reject group and the third reject group to form a reject group.

11. The method of claim 10 , further comprising

determining a number of sorting cells to separate the material to a desired utility; and

repeating the receiving, sorting, and combining steps for the determined number of sorting cells.

12. The method of claim 11 , wherein determining the number of sorting cells to separate the material to the desired utility is based on a probability of correctly determining content of the material and a probability of correctly diverting the material based on the content.

13. The method of claim 9 , wherein sorting, using the first sensor, the ore into the first accept group and the first reject group based on the content of the received ore further comprises:

comparing the measured spectral response to previously recorded response data from mineral samples of a known content; and

assigning a compositional value to the mineral sample based on the comparison.

14. The method of claim 9 , further comprising:

prior to receiving the ore into the first sorting cell, classifying the ore into fine fractions and coarse fractions.

15. The method of claim 14 , wherein the fine fractions are received into the first sorting cell, and wherein the coarse fractions are received into a different sorting cell.

Assignments (2)
SECURITY INTEREST Recorded Dec 1, 2023
From: MINESENSE TECHNOLOGIES LTD.
To: THE BANK OF NOVA SCOTIA
Reel/Frame 065733/0846 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 11, 2016
From: BAMBER, ANDREW SHERLIKER; CSINGER, ANDREW; POOLE, DAVID
To: MINESENSE TECHNOLOGIES LTD.
Reel/Frame 037961/0349 →
Continuity (3)
Continuation 13875105 · May 1, 2013
Provisional Application 61640752 · May 1, 2012
Related Publication 20160193630A1 · Jul 7, 2016
Cited By (2)
US 12,270,184 US 12,270,185