公开(公告)号：US20250147488A1

公开(公告)日：2025-05-08

申请号：US18503898

申请日：2023-11-07

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Meiling He ,  Dennis J. Luo ,  Justice Darko ,  Ishit Patni ,  Ankan Chowdhury ,  Tasha Markovich ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B19/418

Abstract: A method may include receiving, via graphical user interface (GUI) of a processing system, a selection of a dataset associated with one or more operations of one or more industrial automation components of an industrial system. The method may also include receiving, via the GUI of the processing system, a set of input variables associated with the dataset, receiving a target variable associated with the dataset, and receiving a model type for analyzing the dataset. The method may also involve determining, via the processing system, a contribution of each of the set of input variables to the target variable based on the model type; and generating, via the processing system, a visualization representative of one or more statistical relationships between each of the set of input variables and the target variable based on the contribution of each of the set of input variables to the target variable.

公开(公告)号：US20250147737A1

公开(公告)日：2025-05-08

申请号：US18991211

申请日：2024-12-20

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Meiling He ,  Ankan Chowdhury ,  Aderiano da Silva

IPC: G06F8/33

Abstract: An integrated development environment (IDE) for uses a generative artificial intelligence (AI) model to generate industrial control code in accordance with functional requirements provided to the industrial IDE system as natural language prompts. The system's generative AI model leverages both a code repository storing sample control code and a document repository that stores device or software manuals, program instruction manuals, functional specification documents, or other technical documents. These repositories are synchronized by digitizing selected portions of document text from the document repository into control code for storage in the code repository, as well as contextualizing control code from the code repository into text-based documentation for storage in the document repository.

公开(公告)号：US20250147736A1

公开(公告)日：2025-05-08

申请号：US18437941

申请日：2024-02-09

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Meiling He ,  Ankan Chowdhury ,  Aderiano M da Silva

IPC: G06F8/33

Abstract: An integrated development environment (IDE) for uses a generative artificial intelligence (AI) model to generate industrial control code in accordance with functional requirements provided to the industrial IDE system as natural language prompts. The system's generative AI model leverages both a code repository storing sample control code and a document repository that stores device or software manuals, program instruction manuals, functional specification documents, or other technical documents. These repositories are synchronized by digitizing selected portions of document text from the document repository into control code for storage in the code repository, as well as contextualizing control code from the code repository into text-based documentation for storage in the document repository.

公开(公告)号：US20250147483A1

公开(公告)日：2025-05-08

申请号：US18503913

申请日：2023-11-07

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Nikhil Ashok Patange ,  Dennis J. Luo ,  Ankan Chowdhury ,  Meiling He ,  Fatime Ly Seymour ,  Francisco P. Maturana ,  Tasha Markovich ,  Scott M. Thomas

IPC: G05B19/409 ,  G05B19/4063

Abstract: A method may include receiving, via a processing system, a request for information associated with an industrial automation system from a user, identifying a prompt associated with the request, and identifying one or more datasets associated with the request based on the prompt and the information. The method may also involve receiving the one or more datasets from one or more data sources, formatting the request and the one or more datasets into a package, and sending the package to a generative artificial intelligence (AI) system. The method may then involve receiving a response from the generative AI system, such that the response may be presented via a display of a human machine interface (HMI) system.

公开(公告)号：US20240402697A1

公开(公告)日：2024-12-05

申请号：US18679061

申请日：2024-05-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Meiling He ,  Ankan Chowdhury ,  Scott W. Stevens ,  John Hatzis ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B23/02

Abstract: A non-transitory tangible, computer-readable medium storing instructions that, when executed by processing circuitry, cause the processing circuitry to perform operations including receiving data associated with industrial equipment, pre-processing the data using pre-processing files associated with a modeling technique to generate pre-processed data, generating training dataset files based on the pre-processed data, and generating a model representative of expected operations of the industrial equipment based on the training dataset files. The instructions cause the processing circuitry to perform operations including storing an association between the training dataset files with the modeling technique, the industrial equipment, or both in a database, receiving a request to generate an additional model representative of additional expected operations of additional industrial equipment, receiving additional data associated with the additional industrial equipment, retrieving the training dataset files based on the additional data, and generating the additional model based on the training dataset files and the additional data.

公开(公告)号：US20240402691A1

公开(公告)日：2024-12-05

申请号：US18679130

申请日：2024-05-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Meiling He ,  Ankan Chowdhury ,  Scott W. Stevens ,  John Hatzis ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B19/418 ,  G05B23/02

Abstract: A non-transitory tangible, computer-readable medium storing instructions that, when executed by processing circuitry, cause the processing circuitry to perform operations including receiving a set of data associated with industrial devices of an industrial system, and retrieving pre-processing files and training datasets files associated with the industrial devices from a database, wherein the pre-processing files are configured to transform the data for generating a model representative of the industrial devices, and wherein the training dataset files are representative of operational characteristics of the industrial devices over time. The instructions cause the processing circuitry to perform operations including generating a set of prediction data representative of expected operations of the industrial devices based on the set of data and the model, determining commands for adjusting operational settings of the industrial devices based on the set of prediction data, and sending the commands to the industrial devices.

公开(公告)号：US20240402690A1

公开(公告)日：2024-12-05

申请号：US18679113

申请日：2024-05-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Meiling He ,  Ankan Chowdhury ,  Scott W. Stevens ,  John Hatzis ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B19/418 ,  G05B23/02

Abstract: A non-transitory tangible, computer-readable medium storing instructions that, when executed by processing circuitry, cause the processing circuitry to perform operations including receiving data associated with one or more industrial devices of an industrial system, and retrieving one or more pre-processing files and one or more training datasets files associated with a model from a database, wherein the one or more pre-processing files are configured to transform the data, and wherein the one or more training dataset files are representative of one or more operational characteristics of the one or more industrial devices over time. The instructions cause the processing circuitry to perform operations including receiving one or more inputs to modify one or more parameters of the model via a user interface presented via an electronic display, and generating the model based on the training dataset files and the one or more inputs.