公开(公告)号：US11709481B2

公开(公告)日：2023-07-25

申请号：US17822257

申请日：2022-08-25

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Bijan Sayyarrodsari ,  Michael Pantaleano ,  Ka H Lin ,  Juergen K Weinhofer ,  Andrew J Ellis ,  Kyle Crum ,  Sujeet Chand ,  David Vasko ,  Subbian Govindaraj

IPC: G05B19/418 ,  H04W4/38 ,  G06N20/00 ,  G06K19/077

CPC classification number: G05B19/4183 ,  G06K19/07758 ,  G06N20/00 ,  H04W4/38

Abstract: An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

公开(公告)号：US20220404803A1

公开(公告)日：2022-12-22

申请号：US17822257

申请日：2022-08-25

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Bijan Sayyarrodsari ,  Michael Pantaleano ,  Ka H Lin ,  Juergen K Weinhofer ,  Andrew J Ellis ,  Kyle Crum ,  Sujeet Chand ,  David Vasko ,  Subbian Govindaraj

IPC: G05B19/418 ,  H04W4/38 ,  G06N20/00 ,  G06K19/077

Abstract: An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

公开(公告)号：US20210097456A1

公开(公告)日：2021-04-01

申请号：US16588118

申请日：2019-09-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Bijan Sayyarrodsari ,  Michael Pantaleano ,  Ka H Lin ,  Juergen K Weinhofer ,  Andrew J Ellis ,  Kyle Crum ,  Sujeet Chand ,  David Vasko ,  Subbian Govindaraj

IPC: G06Q10/06 ,  G06N20/00 ,  G06F17/16

Abstract: A smart gateway platform leverages pre-defined industrial expertise to identify limited subsets of available industrial data deemed relevant to a desired business objective, and to collect and model this relevant data to apply useful constraints on subsequent artificial intelligence or machine learning analytics applied to the data. This approach can reduce the data space to which AI analytics are applied and assist data analytic systems to more quickly derive valuable insights and business outcomes. In some embodiments, the smart gateway platform can operate within the context of a multi-level industrial analytic system, feeding pre-modeled data to one or more AI or machine learning systems executing on one or more different levels of an industrial enterprise. The multi-level industrial analytic system can also further refine modeled industrial data as the data moves upward through the system (e.g., from the device level to higher levels).

公开(公告)号：US20210096541A1

公开(公告)日：2021-04-01

申请号：US16587214

申请日：2019-09-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Bijan Sayyarrodsari ,  Michael Pantaleano ,  Ka H Lin ,  Juergen K Weinhofer ,  Andrew J Ellis ,  Kyle Crum ,  Sujeet Chand ,  David Vasko ,  Subbian Govindaraj

IPC: G05B19/418 ,  G06N20/00 ,  H04W4/38 ,  G06K19/077

Abstract: An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

公开(公告)号：US20250110488A1

公开(公告)日：2025-04-03

申请号：US18476525

申请日：2023-09-28

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Yuhong Huang ,  Alexandra L. Schwertner ,  Andrea Ruotolo ,  Kyle Crum ,  Frank Schirra

IPC: G05B19/418

Abstract: A system includes processing circuitry and a memory. The memory stores instructions that, when executed by the processing circuitry, cause the processing circuitry to receiving operational data captured from an industrial automation system performing an industrial automation process, model the industrial automation process based on the operational data, model one or more adjustments to the industrial automation process, identify that the modeling of the one or more adjustments to the industrial automation process indicates that the one or more adjustments to the industrial automation process improve one or more sustainability metrics for the industrial automation process, generate one or more sustainability recommendations to implement the one or more adjustments to the industrial automation process, and implement the one or more adjustments to the industrial automation process.

公开(公告)号：US11841699B2

公开(公告)日：2023-12-12

申请号：US16587187

申请日：2019-09-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Bijan Sayyarrodsari ,  Michael Pantaleano ,  Ka H Lin ,  Juergen K Weinhofer ,  Andrew J Ellis ,  Kyle Crum ,  Sujeet Chand ,  David Vasko ,  Subbian Govindaraj

IPC: G05B19/418 ,  G06F11/00 ,  G06Q10/0639

CPC classification number: G05B19/41875 ,  G05B19/4183 ,  G05B19/41885 ,  G06F11/00 ,  G06Q10/06395

Abstract: An industrial data broker system receives contextualized industrial data from one or more industrial devices that support data modeling at the device level. The received industrial data is augmented with contextualization metadata that defines correlations between the data relevant to an analytical objective, and labels specifying analytic topics to which each data item is relevant. The broker system allows external systems, such as analytic systems, to subscribe to topics of interest, and streams a subset of contextualized device data relevant to the topic of interest to the external system for analysis.

公开(公告)号：US11435726B2

公开(公告)日：2022-09-06

申请号：US16587214

申请日：2019-09-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Bijan Sayyarrodsari ,  Michael Pantaleano ,  Ka H Lin ,  Juergen K Weinhofer ,  Andrew J Ellis ,  Kyle Crum ,  Sujeet Chand ,  David Vasko ,  Subbian Govindaraj

IPC: G05B19/418 ,  H04W4/38 ,  G06N20/00 ,  G06K19/077

Abstract: An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

公开(公告)号：US11212322B2

公开(公告)日：2021-12-28

申请号：US16156305

申请日：2018-10-10

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Alex L. Nicoll ,  Kyle Crum ,  Taryl J. Jasper ,  Michael A. Bush ,  Jack M. Visoky

IPC: H04L29/06

Abstract: An industrial security policy configuration system generates and implements security policies for industrial automation systems based on design data for the industrial systems generated by device manufacturers, system integrators, original equipment manufacturers, or the owners of the industrial assets during the design of the industrial systems. the collected design data to a security rule set defining device-level communication privileges. The system translates the collected design data to a security rule set defining device-level communication privileges, which are then translated to a comprehensive set of security policies customized to the requirements of the industrial systems represented by the design data. By leveraging the rich set of available design data to identify or infer security requirements and generate suitable security configurations, the system can mitigate the need to manually configure security policies based on human judgments regarding normal and abnormal network traffic.

公开(公告)号：US20210342388A1

公开(公告)日：2021-11-04

申请号：US16863768

申请日：2020-04-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Thong T. Nguyen ,  Paul D. Schmirler ,  Hannah M. Schermerhorn ,  Kyle Crum ,  Abhishek Mehrotra ,  Kristopher J. Holley

IPC: G06F16/538 ,  G06F16/55

Abstract: A method executable by at least one processor includes receiving image data representative of an industrial equipment assembly, identifying properties associated with the industrial equipment assembly based on the image data, identifying a set of industrial equipment assemblies associated with the industrial equipment assembly based on the properties associated with the industrial equipment assembly and data stored in a database, and categorizing the set of industrial equipment assemblies based on the data associated with the industrial equipment assemblies. The method also includes generating an inquiry based on the categorization of the set of industrial equipment assemblies, presenting the inquiry via an electronic display, receiving information responsive to the inquiry and associated with the industrial equipment assembly, identifying a subset of industrial equipment assemblies based on the information, and presenting a visualization associated with the subset of industrial equipment assemblies via the electronic display.

公开(公告)号：US20210096551A1

公开(公告)日：2021-04-01

申请号：US16587187

申请日：2019-09-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Bijan Sayyarrodsari ,  Michael Pantaleano ,  Ka H. Lin ,  Juergen K. Weinhofer ,  Andrew J. Ellis ,  Kyle Crum ,  Sujeet Chand ,  David Vasko ,  Subbian Govindaraj

IPC: G05B19/418

Abstract: An industrial data broker system receives contextualized industrial data from one or more industrial devices that support data modeling at the device level. The received industrial data is augmented with contextualization metadata that defines correlations between the data relevant to an analytical objective, and labels specifying analytic topics to which each data item is relevant. The broker system allows external systems, such as analytic systems, to subscribe to topics of interest, and streams a subset of contextualized device data relevant to the topic of interest to the external system for analysis.