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：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.