Online Modular Parameterization and Successive Linear Programming for Improving Manufacturing Plant Operations

• US 20090276061A1
• Filed: 04/30/2008
• Published: 11/05/2009
• Est. Priority Date: 04/30/2008
• Status: Active Grant

• Current Assignee: ExxonMobil Chemical Patents Inc. (Exxon Mobil Corporation)
• Original Assignee: ExxonMobil Chemical Patents Inc. (Exxon Mobil Corporation)
• Inventors: Bartusiak, R. Donald, Sheth, Kiran R., Fontaine, Robert W.
• Granted Patent: US 8,036,759 B2
• Time in Patent Office: Days
• US Class Current: 700/29
• CPC Class Codes: G05B 17/02 electric
• CPC Class Codes: G05B 19/41885 characterised by modeling, simulation of the manufacturing system
• CPC Class Codes: G05B 2219/32017 Adapt real process as function of changing simulation model, changing for better results
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

Methods and systems for substantially optimizing plant operations within a manufacturing environment. The method can include separating the manufacturing environment into two or more individual modules, wherein each individual module contains a fundamental principles-based model, and wherein the totality of the individual modules represents the entire manufacturing environment. Each individual module can be independently parameterized upon said module reaching steady state, wherein inter-module data flow can be provided to at least one of the individual modules during parameterization, and wherein an output of the parameterization comprises an individual, calibrated steady-state model of each individual module. A reduced order model can be derived from each parameterized module, and the reduced order models can be assembled to provide a facility reduced order model. The facility reduced order model can then be solved to provide improved or new operating conditions or operating condition targets.

Claims

1. A method for substantially optimizing plant operations within a manufacturing environment, comprising:

separating the manufacturing environment into two or more individual modules, wherein each individual module contains a fundamental principles-based model, and wherein the totality of the individual modules represents the entire manufacturing environment;

independently parameterizing each individual module upon said module reaching steady state;

wherein inter-module data flow can be provided to at least one of the individual modules during parameterization; and

wherein an output of the parameterization comprises an individual, calibrated steady-state model of each individual module;

deriving a reduced order model from each parameterized module;

assembling the reduced order models to provide a facility reduced order model; and

solving the facility reduced order model to provide improved operating conditions.

2. The method of claim 1 wherein the step of independently parameterizing each individual module can be performed on at least one of the individual modules asynchronously from the other individual modules.

3. The method of claim 1 wherein at least one of the individual modules represents a section of the manufacturing environment that reaches steady state faster than at least one other section of the manufacturing environment.

4. The method of claim 1 further comprising:

linearizing at least one of the individual modules;

wherein each linearized module comprises a reduced-order, linear model of a section of the facility.

5. The method of claim 1 further comprising:

determining the state of a material or energy stream that is output from an individual module, and

providing the state of the stream as an input to another individual module.

6. The method of claim 1 further comprising operating the entire manufacturing environment using the improved operating conditions.

7. The method of claim 1 wherein deriving a reduced order model from each parameterized module comprises generating a gain matrix for each individual module.

8. The method of claim 7 wherein assembling the reduced order models comprises convoluting the gain matrices for each linearized module.

9. The method of claim 8 wherein operating the entire manufacturing environment comprises:

determining a set of operating condition targets at a first time interval from the facility reduced order model;

changing the operating conditions within the manufacturing environment;

measuring the manufacturing environment responses to the changed operating conditions;

re-parameterizing the individual modules;

re-deriving the reduced order model from each re-parameterized module;

re-assembling the re-derived reduced order model to provide a new facility reduced order model; and

determining a set of operating condition targets at a second time interval from the re-assembled facility reduced order model.

10. The method of claim 1 wherein the new facility reduced order module is an updated reduced order module.

11. A method for substantially optimizing plant operations within a manufacturing environment, comprising:

separating the manufacturing environment into two or more individual modules, wherein each individual module contains a fundamental principles-based model, and the totality of the individual modules represents the entire manufacturing environment;

parameterizing each individual module, wherein an output of the parameterization comprises an individual, calibrated steady-state model of the module;

linearizing each of the individual modules to provide a plurality of linearized modules, wherein linearizing each individual module comprises generating a gain matrix for each individual module, and wherein each linearized module comprises a reduced-order, linear model of a section of the facility;

assembling the plurality of linearized modules to provide a facility reduced order module, wherein assembling the plurality of linearized modules comprises convoluting the gain matrices for each linearized module;

determining a set of operating condition targets from the facility reduced order module; and

changing one or more operating conditions within the manufacturing environment based on said set of operating condition targets.

12. The method of claim 11, further comprising measuring the manufacturing environment responses to the changed operating conditions and re-parameterizing the individual modules.

13. The method of claim 12, further comprising:

re-assembling the plurality of linearized modules to provide a new facility reduced order module; and

determining a new set of operating condition targets.

14. The method of claim 13, wherein the new facility reduced order module is an updated reduced order module.

15. The method of claim 13, further comprising changing one or more operating conditions within the manufacturing environment based on the new set of operating condition targets.

16. An apparatus for substantially optimizing plant operations within a manufacturing environment, comprising:

means for providing a model optimization agent with a plurality of individual modules, wherein each individual module contains a fundamental principles-based model of a section of a manufacturing environment and wherein the totality of the modules represent the entire manufacturing environment;

means for parameterizing each individual module,

wherein inter-module data flow can be provided to at least one of the individual modules during parameterization; and

wherein an output of the parameterization comprises an individual, calibrated steady-state module of each individual module.

17. The apparatus of claim 16 further comprising:

means for linearizing each of the individual modules, wherein each linearized module comprises a reduced-order, linear model of a section of the facility.

18. The apparatus of claim 17 further comprising

means for estimating the parameters within the section of the manufacturing environment represented by at least one linearized module;

and

means for matching measured plant data to the estimated parameters.

19. The apparatus of claim 16 further comprising:

means for assembling the plurality of linearized modules; and

means for solving the entire manufacturing environment using the combined modules.

20. The apparatus of claim 19 wherein the means for assembling the plurality of linearized modules comprises means for convoluting the gain matrices for each linearized module.