US 2026/0094055 A1Published application

Industrial machine learning operations with integrated training, deployment, and data maintenance

AssigneeRockwell Automation Technologies, Inc.

InventorsBrandon Lee, Dongzuo Tian, Alexander Berman

Life of this patent

Estimating the term…

Loading patent…

Abstract

The present disclosure describes a machine learning operations platform that integrates training, deployment, and data maintenance for machine learning models in industrial automation environments. The machine learning operations platform provides processed data from the industrial environment to a machine learning model trained to detect anomalies in the industrial automation environment. The machine learning operations platform stores the processed data in a feature store for subsequent model retraining. The machine learning model utilizes a relational database schema that associates machine learning models with training data according to some implementations.

Claims20

Dependent claims

A computer-implemented method for operating a machine learning operations platform, the computer-implemented method comprising:

receiving a continuous stream of data from an industrial device executing an industrial process in an industrial automation environment;
processing the continuous stream of data to generate processed data, wherein the processing comprises preparing the continuous stream of data for ingestion by a first machine learning model;
detecting anomalies in the continuous stream of data, wherein the detecting comprises:
submitting the processed data to the first machine learning model trained to detect the anomalies in the industrial automation environment, wherein the first machine learning model is stored in a model store;
storing the processed data in a feature store;
receiving training annotations for the processed data;
retraining, using the processed data from the feature store and the training annotations, the first machine learning model to generate a second machine learning model;
and
storing the second machine learning model in the model store, wherein:
the model store is associated with the feature store in a relational database schema, and
the second machine learning model is associated with the processed data in the relational database schema.

8 more elements

A machine learning operations system comprising:

one or more processors;
and
one or more memories operably coupled to the one or more processors and having stored thereon software instructions that, upon execution by the one or more processors, cause the one or more processors to:
receive a continuous stream of data from an industrial device executing an industrial process in an industrial automation environment;
process the continuous stream of data to generate processed data, wherein the processing comprises preparing the continuous stream of data for ingestion by a first machine learning model;
detect anomalies in the continuous stream of data, wherein the detecting comprises:
submitting the processed data to the first machine learning model trained to detect the anomalies in the industrial automation environment, wherein the first machine learning model is stored in a model store;
store the processed data in a feature store;
receive training annotations for the processed data;
retrain, using the processed data from the feature store and the training annotations, the first machine learning model to generate a second machine learning model;
and
store the second machine learning model in the model store, wherein:
the model store is associated with the feature store in a relational database schema, and
the second machine learning model is associated with the processed data in the relational database schema.

11 more elements

Dependencies are inferred from the claim text.