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.