Blending process end point detection

Patent metadata

Field	Value
Publication number	US-12216005-B2
Application number	US-202318503220-A
Country	US
Kind code	B2
Filing date	Nov 7, 2023
Priority date	Dec 27, 2021
Publication date	Feb 4, 2025
Grant date	Feb 4, 2025

Abstract

In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.

First claim

What is claimed is:

1. A method, comprising:
identifying, by a device, a pseudo steady state end point based on spectroscopic data,
the pseudo steady state end point indicating an end of a pseudo steady state associated with a blending process;

identifying, by the device, one or more of a reference block or a test block from the spectroscopic data based on the pseudo steady state end point; and
generating, by the device, one or more of a raw detection signal associated with the reference block or a raw detection signal associated with the test block.

2. The method of claim 1 , wherein the raw detection signal is associated with the reference block and the raw detection signal is associated with the test block.

3. The method of claim 1 , wherein identifying the pseudo steady state end point comprises:
identifying the pseudo steady state end point by performing an F-test using moving dual blocks associated with the spectroscopic data.

4. The method of claim 3 , wherein the F-test is performed based on a principal component analysis (PCA) mode that is based on one of:
spectra, from the spectroscopic data, within the moving dual blocks, or
historical spectroscopic data.

5. The method of claim 3 , wherein the F-test is performed based on autoscaling whole spectrum, from the spectroscopic data, within the moving dual blocks.

6. The method of claim 1 , wherein generating one or more of the raw detection signal associated with the reference block or the raw detection signal associated with the test block comprises:
generating the raw detection signal associated with the reference block based on a travel space volume (TSV) calculated based on the reference block.

7. The method of claim 1 , wherein generating one or more of the raw detection signal associated with the reference block or the raw detection signal associated with the test block comprises:
generating the raw detection signal associated with the test block based on a travel space volume (TSV) calculated based on the test block.

8. The method of claim 1 , wherein generating one or more of the raw detection signal associated with the reference block or the raw detection signal associated with the test block comprises:
generating the raw detection signal associated with the reference block based on an individual block standard deviation (IBSD) calculated based on the reference block.

9. The method of claim 1 , wherein generating one or more of the raw detection signal associated with the reference block or the raw detection signal associated with the test block comprises:
generating the raw detection signal associated with the test block based on an individual block standard deviation (IBSD) calculated based on the test block.

10. The method of claim 1 , further comprising:
generating a statistical detection signal by performing an F-test based on the raw detection signal associated with the reference block versus the raw detection signal associated with the test block.

11. The method of claim 1 , further comprising:
generating a statistical detection signal based on one or more of the raw detection signal associated with the reference block or the raw detection signal associated with the test block.

12. The method of claim 11 , further comprising:
providing an indication that the blending process has reached a steady state based at least in part on the statistical detection signal.

13. A device, comprising:
one or more memories; and
one or more processors, coupled to the one or more memories, configured to:
identify, based on spectroscopic data, a pseudo steady state end point that indicates an end of a pseudo steady state associated with a blending process;
identify one or more of a reference block or a test block from the spectroscopic data based on the pseudo steady state end point; and
generate one or more of a raw detection signal associated with the reference block or a raw detection signal associated with the test block.

14. The device of claim 13 , wherein the one or more processors, to identify the one or more of the reference block or the test block from the spectroscopic data, are configured to:
identify the reference block and the test block from the spectroscopic data based on the pseudo steady state end point.

15. The device of claim 13 , wherein the one or more processors, to identify the pseudo steady state end point, are configured to:
perform an F-test using moving dual blocks associated with the spectroscopic data to determine a value associated with identification of the pseudo steady state end point; and
determine that the value satisfies a pseudo steady state end point threshold.

16. The device of claim 13 , wherein the one or more processors, to generate the one or more of the raw detection signal associated with the reference block or the raw detection signal associated with the test block, are configured to:
generate the one or more of the raw detection signal associated with the reference block or the raw detection signal associated with the test block based on a travel space volume (TSV) or an individual block standard deviation (IBSD).

17. The device of claim 13 , wherein the one or more processors are further configured to:
perform an F-test based on the raw detection signal associated with the reference block versus the raw detection signal associated with the test block.

18. The device of claim 13 , wherein the one or more processors are further configured to:
identify a junction point based on the pseudo steady state end point, the junction point indicating a transition from an unsteady state to the pseudo steady state.

19. The device of claim 13 , wherein the one or more processors are further configured to:
provide an indication that the blending process has reached a steady state based on one or more of the raw detection signal associated with the reference block or the raw detection signal associated with the test block.

20. A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:
one or more instructions that, when executed by one or more processors of a device, cause the device to:
identify, based on spectroscopic data, a pseudo steady state end point that indicates an end of a pseudo steady state associated with a blending process;
identify one or more of a reference block or a test block from the spectroscopic data based on the pseudo steady state end point; and
generate one or more of a raw detection signal associated with the reference block or a raw detection signal associated with the test block.

Assignees

• Viavi Solutions Inc

Inventors

• Hsiung Chang Meng
• Sun Lan
• Klimek Michael

Classifications

• G01J2003/2836

  Programming unit, i.e. source and date processing · CPC title

• G01J2003/2833

  and memorised spectra collection · CPC title

• G01N2201/1222

  Endpoint determination; reaction time determination · CPC title

• G01N2021/1789

  Time resolved · CPC title

• G01N2021/8411

  Application to online plant, process monitoring · CPC title