US 12,422,833 B2
Material processing optimization
Neeraj Nagpal, Decatur, GA (US); and Peter Antensteiner, Lewisburg, PA (US)
Assigned to ANDRITZ INC., Alpharetta, GA (US)
Filed by Andritz Inc., Alpharetta, GA (US)
Filed on Apr. 16, 2024, as Appl. No. 18/637,074.
Application 18/637,074 is a continuation of application No. 18/143,696, filed on May 5, 2023, abandoned.
Application 18/143,696 is a continuation of application No. 16/710,243, filed on Dec. 11, 2019, granted, now 11,681,280, issued on Jun. 20, 2023.
Claims priority of provisional application 62/786,655, filed on Dec. 31, 2018.
Prior Publication US 2024/0272629 A1, Aug. 15, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 19/418 (2006.01)
CPC G05B 19/41875 (2013.01) [G05B 2219/32201 (2013.01); G05B 2219/32368 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of optimizing material production, comprising:
at one or more points of a plurality of points along a processing pipeline for a material and during processing of the material by manufacturing equipment for processing the material, performing operations comprising:
providing a candidate set of manufacturing conditions for the manufacturing equipment that provide an improved production measure relative to a baseline production measure for the material at the point along the processing pipeline, the providing step comprising providing a wood source mixture that provides a candidate improved production measure;
determining, using a statistical model, a set of candidate qualities for the material produced by the processing pipeline of the manufacturing equipment corresponding to the candidate set of manufacturing conditions, the determining step comprising determining a corresponding set of qualities of materials processed with the wood source mixture;
in response to determining that the set of candidate qualities meets target qualities for the material produced by the processing pipeline, applying a physical adjustment to the manufacturing equipment at the point along the processing pipeline based on the candidate set of manufacturing conditions; and
generating and presenting a visualization that presents an actual production measure, a computed production measure, or both,
wherein the material is pulp or paper.