The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 03, 2024

Filed:

Nov. 13, 2020
Applicant:

Buckman Laboratories International, Inc., Memphis, TN (US);

Inventors:

Mark D. Schroen, Moseley, VA (US);

Sergio Arreola, Pearland, TX (US);

Robert Brian White, Collierville, TN (US);

Richard Lusk, Nesbit, MS (US);

Nate Brandeburg, Memphis, TN (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
D21C 3/22 (2006.01); D21C 3/24 (2006.01); D21C 9/02 (2006.01); D21C 9/06 (2006.01); G01N 33/34 (2006.01);
U.S. Cl.
CPC ...
D21C 3/228 (2013.01); D21C 3/24 (2013.01); D21C 9/02 (2013.01); D21C 9/06 (2013.01); G01N 33/343 (2013.01);
Abstract

A system and method are provided for predictive control of brown stock treatment at a pulp mill. Various online sensors generate output signals representative of actual values for respective process characteristics, each of which are directly or indirectly affected by adjustments to corresponding process variables. A controller uses the output signals or associated measurement data to dynamically set target values for the process characteristics based on a predicted impact of control responses for corresponding process variables. The controller further generates control signals to actuators associated with the respective process variables based on detected variations between the respective actual values and target values. Exemplary brown stock washing control systems may optimize various types of brown stock washing configurations, including for example vacuum drum washers, compaction baffle washers, chemiwashers, direct displacement washers and wash presses. Cloud-based analytics and machine learning may also be implemented to improve the control algorithms over time.


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