US 2025/0164972 A1 · ANALYSIS WIZARD FOR OPTIMIZING CONTROL LOGIC USING OPERATIONAL DATA IN INDUSTRIAL AUTOMATION ENVIRONMENTS

Abstract

Various embodiments of the present technology generally relate to solutions for improving industrial automation programming and data science capabilities with machine learning. More specifically, embodiments include systems and methods for implementing machine learning engines within industrial programming and data science environments to improve performance, increase productivity, and add functionality. In an embodiment, a system comprises a machine learning-based analysis engine configured to perform an analysis of operational data from an industrial automation environment. The analysis engine is further configured to perform an analysis of control logic and identify, based on the analysis of the operational data and the analysis of the control logic, a variable that is in the control logic but is not used in the operational data. The system further comprises a notification component configured to surface a notification that the variable is in the control logic but is not used in the operational data.

Claims20

Dependent claims

A method, comprising:

providing a graphical user interface for an industrial automation programming environment, the graphical user interface including:
a wizard element representing a wizard component comprising one or more machine learning models, and
iconic elements representing one or more components of an industrial automation environment, wherein:
the industrial automation programming environment is used to design control logic for execution by the industrial automation environment;
accessing, by the wizard component, the control logic and operational data generated by the industrial automation environment executing the control logic;
generating, by the one or more machine learning models of the wizard component, one or more recommendations for modifying the control logic based on ingesting and analyzing the control logic in combination with the operational data;
and
surfacing, via the wizard element of the graphical user interface, the one or more recommendations.

5 more elements

A system, comprising:

one or more processors;
and
one or more memories having stored thereon instructions that, upon execution by the one or more processors, cause the one or more processors to:
provide instructions to surface a graphical user interface for an industrial automation programming environment, the graphical user interface including:
a wizard element representing a wizard component comprising one or more machine learning models, and
iconic elements representing one or more components of an industrial automation environment, wherein:
the industrial automation programming environment is used to design control logic for execution by the industrial automation environment;
access, using the wizard component, the control logic and operational data generated by the industrial automation environment executing the control logic;
generate, using the one or more machine learning models of the wizard component, one or more recommendations for modifying the control logic based on ingesting and analyzing the control logic in combination with the operational data;
and
provide instructions to surface, via the wizard element of the graphical user interface, the one or more recommendations.

8 more elements

Dependencies are inferred from the claim text.

Analysis wizard for optimizing control logic using operational data in industrial automation environments

Life of this patent

Analysis wizard for optimizing control logic using operational data in industrial automation environments

Life of this patent

Abstract

Claims20