SYSTEMS AND METHODS FOR UPDATING CONFIDENCE VALUES FOR ENERGY INFORMATION ASSOCIATED WITH AN INDUSTRIAL AUTOMATION SYSTEM

• US 20140278617A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Rockwell Automation Technologies Incorporated (Allen-Bradley Co., Inc.)
• Original Assignee: Rockwell Automation Technologies Incorporated (Allen-Bradley Co., Inc.)
• Inventors: Vasko, David A., Kaufman, Philip J.
• Application Number:
  US13/843,283
• Publication Number:
  US 20140278617A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02P 80/10 Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier

Abstract

A system may include a processor that may receive a first set of energy data associated with a first asset in an automation system, wherein the first set energy data comprises a first confidence level associated with the first set energy data, receive an operational status associated with the first asset, wherein the operational status indicates operational characteristics of the first asset, and updating the first confidence level based on the operational status and a first energy profile associated with the first asset.

Claims

1. A system, comprising:

a processor configured to;

receive a first set of energy data associated with a first asset in an automation system, wherein the first set energy data comprises a first confidence level associated with the first set energy data;

receive a second set of energy data associated with a second asset in an automation system, wherein the second set energy data comprises a second confidence level associated with the second set energy data;

receive organization model data comprises one or more associations between the first set of energy data, the second set of energy data, and one or more logical groupings within the automation system;

identify a first logical grouping of the logical groupings in the automation system that is associated with the first set of energy data and the second set of energy data based on the organizational model data;

generate a third set of energy data associated with the first logical grouping by aggregating the first set of energy data and the second set of energy data; and

generate a third confidence level associated with the third set of energy data based on the first confidence level and the second confidence level.

2. The system of claim 1, wherein the processor is configured to:

receive a fourth set of energy data having a fourth confidence level from a third asset, wherein the third asset is associated with the first logical grouping in the automation system; and

update the third confidence level based on fourth set of energy data and the fourth confidence level.

3. The system of claim 1, wherein the processor is configured to:

receive a fourth set of energy data having a fourth confidence level from a third asset, wherein the third asset is associated with a second logical grouping in the automation system, and wherein the first logical grouping is a subset of the second logical grouping;

determine a fifth set of energy data based on the third set of energy data and the fourth set of energy data, wherein the fifth set of energy data is associated with at least one asset associated with unknown energy data; and

determine a fifth confidence level associated with the fifth set of energy data based on the third confidence level and the fourth confidence level.

4. The system of claim 1, wherein the logical groupings comprise one or more cells, one or more lines, one or more sites, one or more enterprises, or any combination thereof.

5. The system of claim 1, wherein the logical groupings comprise one or more batches, one or more continuous processes, one or more discrete manufacturing processes, or any combination thereof.

6. The system of claim 1, wherein the logical groupings comprise infrastructure, one or more manufacturing support systems, one or more sub-assembly/batch systems, one or more core manufacturing systems, or any combination thereof.

7. The system of claim 1, wherein the organizational model data comprises one or more energy profiles that correspond to the first asset and the second, wherein the energy profiles define energy consumption characteristics of the first asset and the second asset or energy production characteristics of the first asset and the second asset.

8. The system of claim 1, wherein the processor is configured to send a command to the first asset, the second asset, or any combination thereof when the third confidence level is below a threshold.

9. The system of claim 1, wherein the processor is configured to send a command to the first asset, the second asset, or any combination thereof when the third confidence level is above a threshold.

10. The system of claim 1, wherein the first set of energy data, the second set of energy data, or both comprise metered energy data, derived energy data, or fixed rate energy data.

19. The system of claim 1, wherein the processor is configured to send a command to the first asset when the updated confidence level is below a threshold.

11. A system, comprising:

a processor configured to;

receive a first set of energy data associated with a first asset in an automation system, wherein the first set energy data comprises a first confidence level associated with the first set energy data;

receive an operational status associated with the first asset, wherein the operational status indicates operational characteristics of the first asset; and

update the first confidence level based on the operational status and a first energy profile associated with the first asset.

12. The system of claim 11, wherein the processor is configured to:

receive a second set of energy data having a second confidence level from a second asset, wherein the first set of energy data is a subset of the second set of energy data;

identify a first logical grouping of one or more logical groupings in the automation system that is associated with the first set of energy data and a third set of energy data based on an organizational model data comprising one or more associations between the first set of energy data, the second set of energy data, the third set of energy data, and the one or more logical groupings in the automation system, wherein the third set of energy data is a subset of the second set of energy data and is unknown;

identify a second logical grouping of the logical groupings in the automation system that is associated with the second set of energy data, wherein the first logical grouping is a subset of the second logical grouping; and

determining a third confidence level associated with the third set of energy data based on an operation status corresponding to one or more assets associated with the third set of energy data and the first energy data.

13. The system of claim 11, wherein the first energy profile is provided by organizational model data.

14. The system of claim 13, wherein the organizational model data comprises organizational model data comprises a hierarchical structure of the automation system represented in a functional view.

15. The system of claim 13, wherein the organizational model data comprises a logical grouping of assets in the automation system with respect to one or more functionalities of the automation system.

16. The system of claim 13, wherein the organizational model data comprises one work areas, one or more work cells, one or more work units, or any combination thereof.

17. The system of claim 11, wherein the set of energy data is received from the first asset.

18. The system of claim 11, wherein the first asset comprises one or more power meters, one or more drives, one or more motors, one or more capacitor banks, one or more air compressors, one or more refrigerator units, one or more turbines, one or more generators, one or more energy storage devices, one or more photovoltaic cells, one or more robots, one or more reactors, or any combinations thereof.

20. A method, comprising:

receiving a first set of energy data associated with a first asset in an automation system, wherein the first set energy data comprises a first confidence level associated with the first set energy data;

receiving an operational status associated with the first asset, wherein the operational status indicates operational characteristics of the first asset; and

updating the first confidence level based on the operational status and a first energy profile associated with the first asset.