公开(公告)号：US20240134362A1

公开(公告)日：2024-04-25

申请号：US18049345

申请日：2022-10-24

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Meiling He ,  Raja Sekhar Katuri ,  Dennis J. Luo ,  Brian Taylor ,  Sachin Misra ,  Jay W. Schiele

IPC: G05B19/418

CPC classification number: G05B19/41885 ,  G05B19/4185 ,  G05B19/41865 ,  G05B19/4188

Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.

公开(公告)号：US20240370001A1

公开(公告)日：2024-11-07

申请号：US18457466

申请日：2023-08-29

Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

Inventor： Meiling He ,  Justice Darko ,  Dennis J. Luo ,  Jay W. Schiele ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B19/418

Abstract: An illustrative method includes a batch analytic system receiving batch data of a batch generated in an industrial process, wherein the batch data includes a set of samples associated with the batch, the batch is complete and has a first batch length, determining a reference batch based on a plurality of non-anomalous batches generated in the industrial process, wherein each non-anomalous batch has a same second batch length, generating a batch representation of the batch based on the batch data of the batch and the reference batch, wherein the batch representation of the batch aligns with the reference batch and has the second batch length associated with the reference batch, and performing an operation using the batch representation of the batch.

公开(公告)号：US20240134358A1

公开(公告)日：2024-04-25

申请号：US18049367

申请日：2022-10-24

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Meiling He ,  Raja Sekhar Katuri ,  Dennis J. Luo ,  Brian Taylor ,  Sachin Misra ,  Jay W. Schiele

IPC: G05B19/418 ,  G06F8/41

CPC classification number: G05B19/41865 ,  G05B19/41845 ,  G06F8/427

Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.

公开(公告)号：US20230237371A1

公开(公告)日：2023-07-27

申请号：US17661408

申请日：2022-04-29

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Meiling He ,  Francisco P, Maturana ,  Dennis J. Luo ,  Robert Nunoo ,  Jay W. Schiele

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Various embodiments relate to systems and methods for providing machine learning of supervised and unsupervised data by: receiving a set of industrial data associated with one or more industrial components within an industrial system; generating a classification for each of the set of industrial data using each of a set of models; generating an evaluation value for each of the set of models based on the classifications for each industrial data; and selecting one or more models according to the evaluation values.

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：US20230274215A1

公开(公告)日：2023-08-31

申请号：US17682703

申请日：2022-02-28

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Sachin Misra ,  Brian Taylor ,  Dennis J. Luo ,  Jay W. Schiele

IPC: G06Q10/06 ,  G06Q50/04 ,  G05B19/18

CPC classification number: G06Q10/067 ,  G06Q50/04 ,  G05B19/18 ,  G05B2219/31372

Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. The system allows participants in the ecosystem to browse the hierarchical model to view information about the manufacturing entities, their plant facilities, and the packages assigned to the respective facilities. The system offers filtered role-specific views of the technology transfer documents, their approval statuses, and their plant assignments.

公开(公告)号：US20220103591A1

公开(公告)日：2022-03-31

申请号：US17038852

申请日：2020-09-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Robert Nunoo ,  Peter A. Armstrong ,  Jay W. Schiele ,  Dennis J. Luo

IPC: H04L29/06 ,  G06N20/00 ,  G05B19/4155

Abstract: Systems and method for detecting anomalies in network communication in an industrial automation system. An anomaly detection system, a decentralized system, may identify IoT devices within the network communication and corresponding communication metrics. Using the communication metrics between the identified IoT devise, the anomaly detection system may generate a social network model that is indicative of expected network communication properties. By analyzing social network metrics and the overall entropy of the network communication in real time, the anomaly detection system may identify anomalies that may be associated with potential network vulnerabilities.

公开(公告)号：US20240385611A1

公开(公告)日：2024-11-21

申请号：US18596193

申请日：2024-03-05

Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

Inventor： Francisco P. Maturana ,  Dennis J. Luo ,  Justice Darko ,  Meiling He ,  Fatime Ly Seymour

IPC: G05B23/02 ,  G05B19/408

Abstract: A method comprises determining that a batch generated in an industrial process (IP) is anomalous at a sample point k during the batch, the batch is ongoing; determining a process variable (PV) of the IP based on a variable contribution of the PV towards the batch being anomalous at the sample point k; determining a recommended value of the PV based on an anomaly metric corresponding to the sample point k of an assessment batch, the assessment batch is created based on sample(s) of the batch at the sample point k and the recommended value of the PV, the anomaly metric corresponding to the sample point k of the assessment batch is determined based on a T2-statistic metric corresponding to the sample point k and a Q-statistic metric corresponding to the sample point k of the assessment batch; and adjusting the IP based on the recommended value of the PV.

公开(公告)号：US20240361757A1

公开(公告)日：2024-10-31

申请号：US18308234

申请日：2023-04-27

Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

Inventor： Dennis J. Luo ,  Justice Darko ,  Meiling He ,  Jay W. Schiele ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B19/418

CPC classification number: G05B19/41875 ,  G05B19/41865

Abstract: An illustrative method includes an anomaly detection system determining, for a batch generated in an industrial process, a T2-statistic metric and a Q-statistic metric of the batch in a principal component analysis (PCA) model associated with the industrial process, determining an anomaly metric of the batch based on the T2-statistic metric and the Q-statistic metric of the batch in the PCA model, determining that the batch is anomalous based on the anomaly metric of the batch, and performing an operation in response to determining that the batch is anomalous.

公开(公告)号：US12088614B2

公开(公告)日：2024-09-10

申请号：US17038852

申请日：2020-09-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Robert Nunoo ,  Peter A. Armstrong ,  Jay W. Schiele ,  Dennis J. Luo

IPC: H04L9/40 ,  G05B19/4155 ,  G06N20/00

CPC classification number: H04L63/1433 ,  G05B19/4155 ,  G06N20/00 ,  H04L63/1425 ,  G05B2219/31368

Abstract: Systems and methods for detecting anomalies in network communication in an industrial automation system. An anomaly detection system, a decentralized system, may identify IoT devices within the network communication and corresponding communication metrics. Using the communication metrics between the identified IoT devices, the anomaly detection system may generate a social network model that is indicative of expected network communication properties. By analyzing social network metrics and overall entropy of the network communication in real time, the anomaly detection system may identify anomalies that may be associated with potential network vulnerabilities.