Contextualization of industrial data at the device level

Patent metadata

Field	Value
Publication number	US-11709481-B2
Application number	US-202217822257-A
Country	US
Kind code	B2
Filing date	Aug 25, 2022
Priority date	Sep 30, 2019
Publication date	Jul 25, 2023
Grant date	Jul 25, 2023

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.

First claim

What is claimed is:

1. A system, comprising:
a memory that stores executable components; and
a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising:
a device interface component that collects industrial data streams from industrial devices, wherein the industrial data streams are associated with subscriber permission data defining at least one of entities permitted to subscribe to the industrial data streams or entities that are prohibited from subscribing to the industrial data streams;
a data labeling component that applies labels to respective streams of the industrial data streams, the labels identifying analytic topics associated with the respective industrial data streams; and
a data stream publishing component that, in response to receipt of subscription data from an analytic system requesting to subscribe to an analytic topic of the analytic topics, establishes a data channel to the analytic system that sends a subset of the industrial data streams determined to have a label, of the labels, corresponding to the analytic topic.

2. The system of claim 1 , wherein the analytic topics comprise at least one of product quality, product throughput, machine runtime, machine downtime, energy consumption, overall equipment effectiveness, or lifecycle management.

3. The system of claim 1 , wherein the data labeling component infers a label, of the labels, to be applied to an industrial data stream of the industrial data streams based on at least one of a determination of a relationship of the industrial data stream to other received data items, an analysis of a data model used to structure data contained in the industrial data stream, an analysis of contextual metadata received from related industrial data streams, or an identity of an industrial device from which the industrial data stream was received.

4. The system of claim 1 , wherein at least one of the subset of the industrial data streams sends, to the analytic system, time-series values of one or more items of industrial data and contextualization data defining relationships between one or more items of the industrial data specific to a defined business objective.

5. The system of claim 4 , wherein the defined business objective is at least one of maximization of product output, minimization of machine downtime, minimization of machine faults, optimization of energy consumption, prediction of machine downtime events, determination of a cause of a machine downtime, maximization of product quality, minimization of emissions, identification of factors that yield maximum product quality, identification of factors that yield maximum product output, or identification of factors that yield minimal machine downtime.

6. The system of claim 4 , wherein the contextualization data is received from at least one of the industrial devices containing the one or more items of industrial data.

7. The system of claim 4 , wherein the contextualization data further defines a type of analytic problem to be solved by the analytics system via analysis of the subset of the one or more items of industrial data.

8. The system of claim 1 , wherein the data labeling component receives configuration data that defines the analytic topics and associates the analytic topics to selected data streams of the industrial data streams, and applies the labels to the respective streams based on the definition data.

9. The system of claim 1 , wherein
the data stream publishing component sends the subset of the industrial data streams to the analytic system contingent on a determination, based on the subscriber permission data, that the analytic system is not prohibited from subscribing to the subset of the industrial data streams.

10. A method, comprising:
receiving, by a system comprising a processor, industrial data streams from industrial devices, wherein the industrial data streams are respectively associated with subscriber permission data defining at least one of entities permitted to subscribe to the industrial data streams or entities that are prohibited from subscribing to the industrial data streams;
assigning, by the system, labels to respective streams of the industrial data streams, wherein the labels identify analytic topics associated with the respective industrial data streams;
in response to receiving subscription data from an analytic system requesting to subscribe to an analytic topic of the analytic topics:
establishing, by the system, a data channel to the analytic system, and
sending, by the system via the data channel, a subset of the industrial data streams determined to have a label, of the labels, corresponding to the analytic topic.

11. The method of claim 10 , wherein the analytic topics comprise at least one of product quality, product throughput, machine runtime, machine downtime, energy consumption, overall equipment effectiveness, or lifecycle management.

12. The method of claim 10 , wherein the assigning comprises inferring a label, of the labels, to be applied to an industrial data stream of the industrial data streams based on at least one of a determination of a relationship of the industrial data stream to other received data items, an analysis of a data model used to structure data contained in the industrial data stream, an analysis of contextual metadata received from related industrial data streams, or an identity of an industrial device from which the industrial data stream was received.

13. The method of claim 10 , wherein the sending comprises sending, by the system via at least one of the subset of the industrial data streams, time-series values of one or more items of industrial data and contextualization data defining relationships between one or more items of the industrial data specific to a defined business objective.

14. The method of claim 13 , wherein the defined business objective is at least one of maximization of product output, minimization of machine downtime, minimization of machine faults, optimization of energy consumption, prediction of machine downtime events, determination of a cause of a machine downtime, maximization of product quality, minimization of emissions, identification of factors that yield maximum product quality, identification of factors that yield maximum product output, or identification of factors that yield minimal machine downtime.

15. The method of claim 13 , wherein the receiving of the industrial data streams comprises receiving the contextualization data from at least one of the industrial devices containing the one or more items of industrial data.

16. The method of claim 13 , wherein the contextualization data further defines a type of analytic problem to be solved by the analytics system via analysis of the subset of the one or more items of industrial data.

17. The method of claim 10 , further comprising receiving, by the system, configuration data that defines the analytic topics and that associates the analytic topics to selected data streams of the industrial data streams,
wherein the assigning comprises assigning the labels to the respective streams based on the definition data.

18. The method of claim 10 ,
wherein the sending comprises, in response to determining, based on the subscriber permission data, that the analytic system is not prohibited from subscribing to the subset of the industrial data streams, sending the subset of the industrial data streams to the analytic system.

19. A non-transitory computer-readable medium having stored thereon instruct

Assignees

• Rockwell Automation Tech Inc

Inventors

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

Classifications

• G05B19/4183 Primary

  characterised by data acquisition, e.g. workpiece identification · CPC title

• G06K19/07758

  arrangements for adhering the record carrier to further objects or living beings, functioning as an identification tag · CPC title

• G06N20/00 Primary

  Machine learning · CPC title

• H04W4/38

  for collecting sensor information · CPC title

• G06Q10/063 Primary

  Operations research, analysis or management · CPC title