US 2023/0418243 A1 · DATA SCIENTIST VIEWS IN INTEGRATED DESIGN ENVIRONMENTS

Abstract

Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to surface machine learning systems in a design application of an industrial automation environment. In some examples, a design component generates a control program configured for implementation by a Programmable Logic Controller (PLC). The design component receives a user input that selects a program tag that represents a target variable in an industrial automation process. In response to the user selection, the design component identifies one or more machine learning models associated with the target variable and displays the one or more machine learning models. The design component receives a user input that selects one of the one or more machine learning models and responsively integrates another program tag that represents the selected machine learning model into the control program.

Claims20

Dependent claims

A system to surface machine learning systems in a design application of an industrial automation environment, the system comprising:

a memory that stores executable components;
and
a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising:
a design component configured to generate a control program configured for implementation by a Programmable Logic Controller (PLC) and receive a user input that selects a program tag that represents a target variable in an industrial automation process;
in response to the user selection, the design component configured to identify one or more machine learning models associated with the target variable and display the one or more machine learning models;
and
the design component configured to receive a user input that selects one of the one or more machine learning models and responsively integrate another program tag that represents the selected machine learning model into the control program.

4 more elements

A method to surface machine learning systems in a design application of an industrial automation environment, the method comprising:

generating, by a system comprising a processor, a control program configured for implementation by a Programmable Logic Controller (PLC);
receiving, by the system, a user input that selects a program tag that represents a target variable in an industrial automation process;
in response to the user selection, identifying, by the system, one or more machine learning models associated with the target variable;
displaying, by the system, the one or more machine learning models;
receiving, by the system, a user input that selects one of the one or more machine learning model;
and
responsively integrating, by the system, another program tag that represents the selected machine learning model into the control program.

4 more elements

A non-transitory computer-readable medium stored thereon instructions to surface machine learning systems in a design application of an industrial automation environment that, in response to execution, cause a system comprising a processor to perform operations, the operations comprising:

generating a control program configured for implementation by a Programmable Logic Controller (PLC);
receiving a user input that selects a program tag that represents a target variable in an industrial automation process;
in response to the user selection, identifying one or more machine learning models associated with the target variable;
displaying the one or more machine learning models;
receiving a user input that selects one of the one or more machine learning model;
and
responsively integrating another program tag that represents the selected machine learning model into the control program.

4 more elements

Dependencies are inferred from the claim text.

Data scientist views in integrated design environments

Life of this patent

Data scientist views in integrated design environments

Life of this patent

Abstract

Claims20