US 2019/0094843 A1 · ORCHESTRATION OF LEARNING AND EXECUTION OF MODEL PREDICTIVE CONTROL TOOL FOR MANUFACTURING PROCESSES

Abstract

Based on at least one manufacturing process characteristics associated with a manufacturing process, a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models is determined, and at the prediction time, the selected machine learning model is executed. Executing the selected machine learning model predicts a control set point for future values of state variables of the manufacturing process, for controlling the manufacturing process. Based on at least one of the manufacturing process characteristics, a learning time at which to train a machine learning model is determined, and at the learning time, the machine learning model is trained based on historical process data associated with the manufacturing process.

Claims7

Dependent claims

A method of controlling a manufacturing process, the method executed by at least one hardware processor, the method comprising:

receiving manufacturing process characteristics associated with the manufacturing process;
and
based on at least one of the manufacturing process characteristics, determining a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models, and at the prediction time, executing the selected machine learning model based on process data associated with the manufacturing process, the executing of the selected machine learning model predicting a control set point for future values of state variables of the manufacturing process;
and
sending the control set point to a control system to control the manufacturing process by adjusting to the control set point.

2 more elements

Dependencies are inferred from the claim text.

Facts

Application

15/812,285Filed 14 Nov 2017

Priority

27 Sep 2017

Published

28 Mar 2019

Term ends

Not estimatedThe source records don’t support an estimate.

Classification8 codes

G05B 19/41865
Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible…:…
G06N 5/04
Computing arrangements using knowledge-based models: inference or reasoning models
G06N 20/00
Machine learning
G06N 20/20
Machine learning: ensemble learning

Orchestration of learning and execution of model predictive control tool for manufacturing processes

Life of this patent

Orchestration of learning and execution of model predictive control tool for manufacturing processes

Life of this patent

Abstract

Claims7