State-based hierarchy energy modeling

Patent metadata

Field	Value
Publication number	US-10372118-B2
Application number	US-201715495466-A
Country	US
Kind code	B2
Filing date	Apr 24, 2017
Priority date	Sep 26, 2016
Publication date	Aug 6, 2019
Grant date	Aug 6, 2019

Abstract

An energy monitoring system includes a memory storing instructions to execute an energy modeling technique and processing circuitry for executing the instructions to operate the energy modeling technique. The energy modeling technique includes receiving energy data from a plurality of segments representative of one or more logical subgroups. The energy modeling technique includes categorizing the energy data of the logical subgroups into a plurality of segments. The energy modeling technique includes organizing the plurality of segments into a plurality of state-based hierarchical levels. The energy modeling technique includes calculating energy usage and factors associated with the plurality of state-based hierarchical levels via an energy model. The energy modeling technique includes outputting a visualization representative of the energy data corresponding to each of the segments to a monitoring and control system, resulting in a graphical representation accessible by a user-viewable screen.

First claim

The invention claimed is:

1. An energy monitoring system, comprising:
a memory storing instructions to execute an energy modeling technique;
processing circuitry configured to execute the instructions to operate the energy modeling technique, wherein the energy modeling technique comprises:
receiving energy data acquired from a plurality of sensors associated with a plurality of segments representative of one or more logical subgroups in an industrial system;
categorizing the energy data of the logical subgroups into a plurality of segments;
organizing the plurality of segments into a plurality of state-based hierarchical levels, wherein each of the plurality of state-based hierarchical levels is organized based on a plurality of production settings for the industrial system;
calculating energy usage and factors associated with the plurality of state-based hierarchical levels via an energy model; and
utilizing the energy usage and factors to adjust one or more operations of the industrial system.

2. The energy monitoring system of claim 1 , wherein the energy data represents energy usage patterns comprising energy consumption data, production data, process data, or any combination thereof.

3. The energy monitoring system of claim 1 , wherein the plurality of segments comprises one or more of a process cell, a production unit, a production line, a storage zone, or any combination thereof.

4. The energy monitoring system of claim 1 , wherein the state-based hierarchical levels comprises an equipment level, a state level, a product type level, a factor level, or any combination thereof.

5. The energy monitoring system of claim 1 , wherein the energy monitoring system comprises an energy related executable object.

6. The energy monitoring system of claim 1 , wherein the plurality of state-based hierarchical levels comprises energy producing and non-producing levels.

7. The energy monitoring system of claim 1 , wherein the energy modeling technique disaggregates total energy into the plurality of state-based hierarchical levels.

8. The energy monitoring system of claim 1 , wherein the energy usage and factors comprise temperature, humidity, product weight, product identifier, product parameters, machine parameters, operator identification, or any combination thereof.

9. The energy monitoring system of claim 1 , wherein the plurality of segments comprises one or more units, one or more work cells, one or more storage units, or any combination thereof.

10. A method, comprising:
receiving, via a processor, energy utilization and/or production data acquired from a plurality of sensors representative of an enterprise level in an industrial automation system, wherein the enterprise level data comprises a total energy aggregate value for the industrial automation system;
disaggregating, via the processor, the enterprise level data into logical subgroups representative of a plurality of state-based hierarchical levels of the industrial automation system, wherein each of the plurality of state-based hierarchical levels is organized based on a plurality of production settings for the industrial automation system;
identifying, via the processor, one or more state-based hierarchical levels of the plurality of state-based hierarchical levels which deviate from an expected performance;
adjusting, via the processor, one or more operations of the industrial automation system based on a portion of the total energy data corresponding to the one or more state-based hierarchical levels, wherein the one or more operations are configured to optimize the plurality of production settings.

11. The method of claim 10 , wherein disaggregating the enterprise level data into the plurality of logical subgroups comprises identifying producing and non-producing energy states.

12. The method of claim 10 , wherein disaggregating the enterprise level data into the plurality of logical subgroups comprises analyzing the plurality of state-based hierarchical levels comprising a process cell, a production unit, a production line, a storage zone, or any combination thereof.

13. The method of claim 10 , wherein identifying the one or more state-based hierarchical levels comprises utilizing an analysis and visualization module to identify one or more deviations from the expected performance.

14. The method of claim 10 , comprising outputting a visual representation of the total energy data with respect to producing energy usage patterns.

15. A computer-readable medium comprising code, when executed by a processor, is adapted to cause the processor to:
receive a total energy aggregate value representative of energy usage in an industrial automation system based on energy data acquired from a plurality of sensors;
disaggregate the total energy aggregate value into disaggregated energy values for a plurality of state-based hierarchical levels of the industrial automation system, wherein each of the plurality of state-based hierarchical levels is organized based on a plurality of production settings for the industrial automation system;
identify one or more state-based hierarchical levels of the plurality of state-based hierarchical levels that deviate from a threshold performance level based on the disaggregated energy values; and
adjust one or more operations of the industrial automation system based in part on the identification of the one or more state-based hierarchical levels.

16. The computer-readable medium of claim 15 , wherein the code is adapted to cause the processor to adjust the one or more operations of the industrial automation system by controlling a set of operations of equipment or a process in the industrial automation system.

17. The computer-readable medium of claim 16 , wherein the set of operations is controlled based on the energy data.

18. The computer-readable medium of claim 17 , wherein inputs from the plurality of sensors comprise equipment or process constraints received from the industrial automation system, equipment or process limits, or a combination thereof.

19. The computer-readable medium of claim 17 , wherein the set of operations is associated with a flow rate, equipment settings, reaction rates, residence times, actuator settings, or a combination thereof.

Assignees

• Rockwell Automation Tech Inc

Inventors

• Li Linglai
• Zhang Guolin
• Brandt David
• Discenzo Fred M
• Kaufman Philip
• Berman David
• Bush Phillip
• Schmelzer Sean C
• Lombardi Steven
• Henderson Noel
• Morgan Richard A

Classifications

• G05B2219/32338

  Use new conditions for model, check, calculate if model meets objectives · CPC title

• G05B2219/42155

  Model · CPC title

• G05B2219/40458

  Grid adaptive optimization · CPC title

• G05B2219/32354

  Divide, analyse process into subprocesses, until elementary unit operations · CPC title

• Y02P90/26

  Cross-Sectional Technologies · mapped topic