PLANT OPERATING POINT DETERMINATION BY INTEGRATING PROFIT PROFILE AND RISK PROFILE

• US 20140344007A1
• Filed: 05/20/2013
• Published: 11/20/2014
• Est. Priority Date: 05/20/2013
• Status: Abandoned Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: SHENDE, MAYANK, SRINIVASAN, RANGANATHAN, TRENCHARD, ANDREW JOHN, OGDEN-SWIFT, ANDREW
• Application Number:
  US13/897,639
• Publication Number:
  US 20140344007A1
• Time in Patent Office: Days
• US Class Current: 705/7.27
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities

Abstract

A method for controlling physical processes includes providing a process model for a physical process run by a processing plant, where the process model represents an interaction between a plurality of controlled process variables and provides a variability measure for at least a portion of the controlled process variables. The process model is used with software run on a computing device to simulate an updated operating point including an updated value or updated range for at least one selected controlled process variable, where the simulation generates a future risk profile and future profit profile for the selected controlled process variable. Risk/profit profile information is generated for the selected controlled process variable from the future risk profile together with information from the future profit profile into at least one of a combined text, numeric, and graphical representation which includes an alarm limit for the selected controlled process variable.

Claims

1. A method for controlling physical processes, comprising:

providing a process model for a physical process run by a processing plant including a plurality of controlled process variables, said process model representing an interaction between said plurality of controlled process variables and providing a variability measure for at least a portion of said plurality of controlled process variables;

using said process model with software run on a computing device, simulating an updated operating point including an updated value or updated range for at least one selected controlled process variable from said portion of said plurality of controlled process variables, said simulating generating a future risk profile and a future profit profile for said selected controlled process variable, and

generating risk/profit profile information for said selected controlled process variable, said risk/profit profile information combining information from said future risk profile together with information from said future profit profile into at least one of a combined text, numeric, and graphical representation which includes an alarm limit for said selected controlled process variable.

2. The method of claim 1, wherein said risk/profit profile information is displayed in a summary form on a display utilized by said computing device, wherein said summary form includes a link which when selected displays a graphical view of said risk/profit profile information on said display including more detail as compared to said summary form.

3. The method of claim 1, wherein said at least one selected controlled process variable comprises a first controlled process variable and at least a second controlled process variable, wherein said generating risk/profit profile information involves separately displaying said risk/profit profile information for said first controlled process variable and said second controlled process variable on a display utilized by said computing device.

4. The method of claim 3, wherein said process model is generated at least in part by historical operating data from said physical process run by said processing plant.

5. The method of claim 1, further comprising generating said process model using a system identification tool or a control performance monitoring tool.

6. The method of claim 4, wherein said method is implemented offline, and said method further includes generating recommended target upper and lower operating bounds for said selected controlled process variable based on said alarm limit for said first controlled process variable and said second controlled process variable, wherein said process model and said historical operating data are from said physical process run by said processing plant.

7. The method of claim 4, wherein said method is implemented on-line, and said method further includes generating recommended target upper and lower operating bounds for said selected controlled process variable based on said historical operating data for said physical process together with current measured values for said portion of said plurality of controlled process variables.

8. The method of claim 1, further comprises quantifying a risk value and a profit value at said updated operating point.

9. The method of claim 1, further comprising automatically recommending a balance point for said selected controlled process variable.

10. A computer program product, comprising:

executable code transportable by a non-transitory machine readable medium, wherein execution of said code by at least one programmable computing device causes said computing device to perform a sequence of steps for controlling a physical process run by a processing plant with a process model including a plurality of controlled process variables, said process model representing an interaction between said plurality of controlled process variables and providing a variability measure for at least a portion of said plurality of controlled process variables;

said sequence of steps comprising;

simulating an updated operating point including an updated value or updated range for at least one selected controlled process variable from said portion of said plurality of controlled process variables, said simulating generating a future risk profile including an alarm limit and future profit profile for said selected controlled process variable, and

generating risk/profit profile information for said selected controlled process variable, said risk/profit profile information combining information from said future risk profile together with information from said future profit profile into at least one of a combined text, numeric, and graphical representation which includes said alarm limit for said selected controlled process variable.

11. The computer program product of claim 10, wherein said risk/profit profile information is displayed in a summary form on a display utilized by said computing device, wherein said summary form includes a link which when selected displays a graphical view of said risk/profit profile information including more detail as compared to said summary form.

12. The computer program product of claim 10, wherein said at least one selected controlled process variable comprises a first controlled process variable and at least a second controlled process variable, wherein said generating risk/profit profile information involves separately displaying said risk/profit profile information for said first controlled process variable and said second controlled process variable on a display utilized by said computing device.

13. The computer program product of claim 12, wherein said process model is generated at least in part by historical operating data from said physical process run by said processing plant.

14. The computer program product of claim 10, wherein said sequence of steps further comprises generating said process model using a system identification tool or a control performance monitoring tool.

15. The computer program product of claim 13, wherein said sequence of steps is implemented offline, said sequence of steps further including generating recommended target upper and lower operating bounds for said selected controlled process variable based on said alarm limit for said first controlled process variable and said second controlled process variable, said process model and said historical operating data from said physical process run by said processing plant.

16. The computer program product of claim 13, wherein said sequence of steps is implemented on-line, and wherein said sequence of steps is implemented further including generating recommended target upper and lower operating bounds for said selected controlled process variable based on said historical operating data for said physical process together with current measured values for said portion of said plurality of controlled process variables.

17. The computer program product of claim 10, wherein said sequence of steps further comprises quantifying a risk value and a profit value at said updated operating point.

18. The computer program product of claim 12, wherein said sequence of steps further comprises automatically recommending a balance point for said selected controlled process variable.