IP Library Patent Application 18081324
Patent Application
App. No. 18/081,324

INDUSTRIAL DIGITAL TWIN SYSTEMS PROVIDING NEURAL NET-BASED ADJUSTMENT RECOMMENDATION WITH DATA RELEVANT TO ROLE TAXONOMY

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Quick Facts
Patent No.
US None
App. No.
18/081,324
Filed
Dec 14, 2022
Art Unit
2857
USPC
700/9
Abstract

Data storage structured to store a plurality of detection values relating to aspects of an industrial production process and data relating to at least one role type stored within a role taxonomy; a data analysis circuit structured to interpret at least a subset of the plurality of detection values to determine a state value comprising at least one of a process state or a component state; an optimization circuit structured to analyze a subset of the plurality of detection values and the state value using at least one of a neural net or an expert system to determine a signal effectiveness of at least one of the plurality of input channels relative to the state value, and to provide an adjustment recommendation based, at least in part, on the signal effectiveness; and an analysis response circuit structured to adjust the industrial production process in response to the adjustment recommendation.

Claims (17)

1 . A monitoring system for collecting data related to an industrial environment, the monitoring system comprising:

a data collector communicatively coupled to a plurality of input channels, wherein the plurality of input channels comprises data relating to an aspect of an industrial production process and data relating to at least one role type stored within a role taxonomy;

a data storage structured to store a plurality of detection values that corresponds to the plurality of input channels;

a data analysis circuit structured to interpret at least a subset of the plurality of detection values to determine a state value comprising at least one of a process state or a component state;

an optimization circuit structured to analyze a subset of the plurality of detection values and the state value using at least one of a neural net or an expert system to determine a signal effectiveness of at least one of the plurality of input channels relative to the state value, and to provide an adjustment recommendation based, at least in part, on the signal effectiveness; and

an analysis response circuit structured to adjust the industrial production process in response to the adjustment recommendation.

2 . The monitoring system of claim 1 , wherein the optimization circuit is further structured to provide the adjustment recommendation as one of an equipment change for a component of the industrial production process, or an equipment operating parameter change for the component of the industrial production process.

3 . The monitoring system of claim 1 , wherein the optimization circuit is further structured to provide the adjustment recommendation as a process parameter change for the industrial production process.

4 . The monitoring system of claim 3 , wherein the process parameter change comprises a command to rebalance process loads between components of the industrial production process.

5 . The monitoring system of claim 4 , wherein the optimization circuit is further structured to provide the process parameter change to achieve at least one of: extending a life of one of the components of the industrial production process, improving a probability of success of the industrial production process, or facilitating maintenance on one of the components of the industrial production process.

6 . The monitoring system of claim 4 , wherein the optimization circuit is further structured to provide the process parameter change to facilitate maintenance of one of the components of the industrial production process.

7 . The monitoring system of claim 6 , wherein the optimization circuit is further structured to facilitate the maintenance of one of the components by performing at least one operation including extending a maintenance interval of one of the components; synchronizing a first maintenance interval of a first one of the components with a second maintenance interval of a second one of the components;

and differentiating the first maintenance interval of the first one of the components from the second maintenance interval of the second one of the components.

8 . The monitoring system of claim 6 wherein the optimization circuit is further structured to facilitate the maintenance of one of the components by aligning a maintenance interval of one of the components with an external reference time.

9 . The monitoring system of claim 8 , wherein the external reference time comprises at least one time including a planned shutdown time for the industrial production process, a time that is past an expected completion time of the industrial production process, or a scheduled maintenance time for one of the components.

10 . The monitoring system of claim 1 , wherein the optimization circuit is further structured to determine a sensitivity of at least one of the plurality of input channels relative to the state value.

11 . The monitoring system of claim 1 , wherein the optimization circuit is further structured to determine a predictive accuracy of at least one of the plurality of input channels relative to the state value.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 25, 2023
From: CELLA, CHARLES H.; DUFFY, GERALD WILLIAM, JR.; MCGUCKIN, JEFFREY P.; BLIVEN, BRENT; CARDNO, ANDREW; PARENTI, JENNA
To: STRONG FORCE IOT PORTFOLIO 2016, LLC
Reel/Frame 063762/0379 →