SYSTEMS AND METHODS OF HIERARCHICAL SMART ASSET CONTROL APPLICATION DEVELOPMENT AND OPTIMIZATION

• US 20180299849A1
• Filed: 10/12/2016
• Published: 10/18/2018
• Est. Priority Date: 10/13/2015
• Status: Active Grant

• Current Assignee: Schneider Electric Systems USA, Inc. (Schneider Electric SE)
• Original Assignee: Schneider Electric Systems USA, Inc. (Schneider Electric SE)
• Inventors: MARTIN, Peter G, CLARK, Donald C, LINSCOTT, Richard L
• Granted Patent: US 11,829,114 B2
• Time in Patent Office: Days
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 19/0426 Programming the control sequence
• CPC Class Codes: G05B 19/056 Programming the PLC
• CPC Class Codes: G05B 19/4069 Simulating machining process on screen G05B19/4068 takes precedence
• CPC Class Codes: G05B 2219/23005 Expert design system, uses modeling, simulation, to control design process
• CPC Class Codes: G05B 2219/23261 Use control template library
• CPC Class Codes: G05B 2219/23293 Automated assembly of machine control software, reusable software components
• CPC Class Codes: G06F 9/54 Interprogram communication
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

Systems and methods of a Hierarchical Smart Asset Control Application development and Integrated Smart Asset Control System optimization are disclosed. In various embodiments, the system may develop a Hierarchical Asset Control Application and corresponding control hardware requirements. This can be used to create an Integrated Smart Asset Control System in order execute various processes for a set of equipment elements. The smart assets associated with the system may utilize intelligent agents to balance operational constraints and operational objects in order to determine real-time optimized operational parameters for a process and implement the appropriate controls to facilitate achieving the improved operational objectives.

Claims

1. A method of Integrated Smart Asset Control System optimization, comprising:

accessing asset automation operational process parameters associated for an asset within an Integrated Smart Asset Control System;

developing a multi-faceted dynamic process constraints accounting for operational constraints associated with the automation operational process;

evaluating a multi-faceted dynamic process constraint model to balance operational process constraints and process objectives;

determining an optimized process operation point for the multi-faceted dynamic process constraints;

determining a hierarchical smart asset control action utilizing the optimized process operation point; and

executing the hierarchical smart asset control action to transition from current operational values to operational values to achieve the balanced operational constraints.

2. The method of claim 1, wherein the operational constraints are developed by a smart asset associated with a smart asset group within the Integrated Smart Asset Control System.

3. The method of claim 1, wherein the hierarchical asset control actions effectuate control change of a smart asset associated with the Integrated Smart Asset Control System.

4. The method of claim 1, wherein determining an optimized process operation point is based on reliability, safety, and environmental process operational constraints.

5. The method of claim 4, wherein optimized process operation point determination is achieved based on asset constraint aggregation across each smart asset in a smart asset grouping.

6. The method of claim 4, wherein the reliability constraint is determined for the smart asset set is determined utilizing a reliability risk model.

7. The method of claim 6, wherein the real time reliability constraint is defined as:

RT Reliability Risk=MAX (Operational Reliability Risk, Conditional Reliability Risk, Reliability Safety Risk).

8. The method of claim 4, wherein the environmental constraint is determined for the smart asset set is determined utilizing an environmental risk model.

9. The method of claim 8, wherein the real time reliability constraint is defined as:

RT Environmental Risk=MAX (Operational Environmental Risk, Conditional Environmental Risk, Reliability Environmental Risk).

10. The method of claim 4, wherein the safety constraint is determined for the smart asset set is determined utilizing a safety risk model.

11. The method of claim 10, wherein the real time reliability constraint is defined as:

RT Safety Risk=MAX (Operational Safety Risk, Conditional Safety Risk, Reliability Safety Risk).

12. The method of claim 4, wherein access to a smart asset is dynamically controlled based on aggregated real time security data.

13. The method of claim 12, wherein the aggregated real time security data includes both Integrated Smart Asset Control System specific and external security data.

14. The method of claim 1, wherein determining an optimized process operation point is derived utilizing linear analysis.

15. The method of claim 1, wherein the development of the multi-faceted process constraint is derived utilizing non-linear analysis.

16. The method of claim 1, wherein the hierarchical smart asset control action instructs a parametric operational state for a smart asset or group of smart assets.

17. The method of claim 1, wherein the hierarchical smart asset control action instructs a parametric operational set point for a smart asset or group of smart assets.

18. The method of claim 1, wherein the hierarchical smart asset control action instructs a parametric operational constraint threshold for a smart asset or group of smart assets.

19. The method of claim 1, wherein the accessing smart asset automation operational process parameters associated with a hierarchical smart asset system/group is retrieved from a data store.

20. The method of claim 19, wherein the operational process parameters include historic or real time data.

21. The method of claim 1, further comprising:

a. aggregating smart asset operational data; and

b. using smart asset operational data to improve efficiency or prospective process command selections.

35. The system of claim 21, wherein determining an optimized process operation point is derived utilizing linear analysis.

36. The system of claim 21, wherein the development of the multi-faceted process constraint is derived utilizing non-linear analysis.

37. The system of claim 21, wherein the hierarchical smart asset control action instructs a parametric operational state for a smart asset or group of smart assets.

38. The system of claim 21, wherein the hierarchical smart asset control action instructs a parametric operational set point for a smart asset or group of smart assets.

39. The system of claim 21, wherein the hierarchical smart asset control action instructs a parametric operational constraint threshold for a smart asset or group of smart assets.

40. The system of claim 21, wherein the accessing smart asset automation operational process parameters associated with a hierarchical smart asset system/group is retrieved from a data store.

41. The system of claim 40, wherein the operational process parameters include historic or real time data.

42. The system of claim 21, further comprising:

a. aggregating smart asset operational data; and

b. using smart asset operational data to improve efficiency or prospective process command selections.

22. A system of Integrated Smart Asset Control System optimization, comprising:

accessing, with a processor, asset automation operational process parameters associated for an asset within an Integrated Smart Asset Control System;

developing, with the processor, a multi-faceted dynamic process constraints accounting for operational constraints associated with the automation operational process;

evaluating, with the processor, a multi-faceted dynamic process constraint model to balance operational process constraints and process objectives;

determining, with the processor, an optimized process operation point for the multi-faceted dynamic process constraints;

determining, with the processor, a hierarchical smart asset control action utilizing the optimized process operation point; and

executing, with the processor, the hierarchical smart asset control action to transition from current operational values to operational values to achieve the balanced operational constraints.

23. The system of claim 22, wherein the operational constraints are developed by a smart asset associated with a smart asset group within the Integrated Smart Asset Control System.

24. The system of claim 22, wherein the hierarchical asset control actions effectuate control change of a smart asset associated with the Integrated Smart Asset Control System.

25. The system of claim 22, wherein determining an optimized process operation point is based on reliability, safety, and environmental process operational constraints.

26. The system of claim 25, wherein optimized process operation point determination is achieved based on asset constraint aggregation across each smart asset in a smart asset grouping.

27. The system of claim 25, wherein the reliability constraint is determined for the smart asset set is determined utilizing a reliability risk model.

28. The system of claim 27, wherein the real time reliability constraint is defined as:

RT Reliability Risk=MAX (Operational Reliability Risk, Conditional Reliability Risk, Reliability Safety Risk).

29. The system of claim 25, wherein the environmental constraint is determined for the smart asset set is determined utilizing an environmental risk model.

30. The system of claim 29, wherein the real time reliability constraint is defined as:

RT Environmental Risk=MAX (Operational Environmental Risk, Conditional Environmental Risk, Reliability Environmental Risk).

31. The system of claim 25, wherein the safety constraint is determined for the smart asset set is determined utilizing a safety risk model.

32. The system of claim 31, wherein the real time reliability constraint is defined as:

RT Safety Risk=MAX (Operational Safety Risk, Conditional Safety Risk, Reliability Safety Risk).

33. The system of claim 25, wherein access to a smart asset is dynamically controlled based on aggregated real time security data.

34. The system of claim 33, wherein the aggregated real time security data includes both Integrated Smart Asset Control System specific and external security data.

43. A method of Integrated Smart Asset Control System optimization, comprising:

accessing smart asset automation operational process parameters;

developing multi-faceted dynamic constraints at a smart asset level accounting for operational constraints associated with the automation operational process;

evaluating multi-faceted dynamic process constraint model for the smart asset to balance operational process constraints and process objectives;

determining an optimized process operation point for the smart asset for the multi-faceted dynamic process constraints;

transmitting data elements request by a parent used in part by the parent to determine a smart asset control action for the child smart asset;

receiving a smart asset control action generated from the optimized process operation point; and

executing the hierarchical smart asset control action to transition from current operational values to operational values to achieve the balanced operational constraints.