Graphical language for optimization and use
First Claim
1. An enterprise-integrated system optimizer, comprising a non-transitory computer-readable medium having computer instructions encoded thereon, wherein the computer instructions comprise instructions for:
- transmitting a graphical representation of a well-posed optimization problem comprising an interconnected network of nodes and connections to a remote electronic device, wherein the optimization problem relates to an enterprise-integrated system and comprises a parametric objective function, one or more decision variables, and one or more parametric constraints, wherein at least one of the nodes comprises a parametric hybrid model whose output is a decision variable in the parametric objective function, and at least one connection comprises a parametric hybrid model that describes parametric constraints on at least one decision variable in the optimization problem, and the graphical representation of the optimization problem enables graphically modifying at least one of the parametric objective function, a decision variable, and a parametric constraint of the optimization problem by interaction with a node or a connection, wherein the parametric hybrid model for a node or connection comprises;
an empirical model configured to generate a parameter model input based at least in part on a variable input to the node or connection;
a parameter model configured to generate a fundamental model parameter based at least in part on the parameter model input and the variable input; and
a parametric first principles model configured to generate a variable output of the node or connection based at least in part on the variable input and the fundamental model parameter;
receiving a user command input relating to a node or connection in the graphical representation of the optimization problem;
processing the user command input, wherein processing the user command input comprises modifying the optimization problem; and
executing the optimizer with the modified optimization problem to determine current and future values of decision variables to implement in the enterprise-integrated system.
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Abstract
The present invention provides novel techniques for graphically modeling, displaying, and interacting with parametric hybrid models used to optimize and control components of industrial plants and enterprises. In particular, a graphical modeling tool of a control/optimization system for controlling a plant or enterprise is configured to transmit a graphical user interface to a user, wherein the graphical user interface enables a plurality of command inputs relating to a plurality of parametric hybrid models based on a security access level of the user. The parametric hybrid models may be displayed by the graphical user interface as nodes of a network with connections connecting the nodes. The user may graphically manipulate the nodes and connections associated with the parametric hybrids models to either modify optimization constraints of the model network, or actually modify the manner in which the parametric hybrid models function (e.g., inputs, outputs, parameters, and so forth, of the parametric hybrid models), depending on the access level of the user.
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Citations
20 Claims
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1. An enterprise-integrated system optimizer, comprising a non-transitory computer-readable medium having computer instructions encoded thereon, wherein the computer instructions comprise instructions for:
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transmitting a graphical representation of a well-posed optimization problem comprising an interconnected network of nodes and connections to a remote electronic device, wherein the optimization problem relates to an enterprise-integrated system and comprises a parametric objective function, one or more decision variables, and one or more parametric constraints, wherein at least one of the nodes comprises a parametric hybrid model whose output is a decision variable in the parametric objective function, and at least one connection comprises a parametric hybrid model that describes parametric constraints on at least one decision variable in the optimization problem, and the graphical representation of the optimization problem enables graphically modifying at least one of the parametric objective function, a decision variable, and a parametric constraint of the optimization problem by interaction with a node or a connection, wherein the parametric hybrid model for a node or connection comprises; an empirical model configured to generate a parameter model input based at least in part on a variable input to the node or connection; a parameter model configured to generate a fundamental model parameter based at least in part on the parameter model input and the variable input; and a parametric first principles model configured to generate a variable output of the node or connection based at least in part on the variable input and the fundamental model parameter; receiving a user command input relating to a node or connection in the graphical representation of the optimization problem; processing the user command input, wherein processing the user command input comprises modifying the optimization problem; and executing the optimizer with the modified optimization problem to determine current and future values of decision variables to implement in the enterprise-integrated system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method, comprising:
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transmitting a graphical representation of awell-posed optimization problem comprising an interconnected network of nodes and connections to an electronic device, wherein the optimization problem relates to a plant in an enterprise-integrated system and comprises a parametric objective function, one or more decision variables, and one or more parametric constraints, wherein at least one of the nodes comprises a parametric hybrid model that describes how decision variables influence the parametric objective function, at least one connection comprises a parametric hybrid model that describes parametric constraints on decision variables in connected nodes, and the graphical representation of the optimization problem enables graphically modifying at least one of the parametric objective function, a decision variable, and a parametric constraint of the optimization problem by interaction with a node or a connection, wherein the parametric hybrid model for a node or connection comprises; an empirical model configured to generate a parameter model input based at least in part on a variable input to the node or connection; a parameter model configured to generate a fundamental model parameter based at least in part on the parameter model input and the variable input; and a parametric first principles model configured to generate a variable output of the node or connection based at least in part on the variable input and the fundamental model parameter; receiving a user command input relating to a node or connection in the graphical representation of the optimization problem; processing the user command input, wherein processing the user command input comprises modifying the optimization problem; and executing optimization with the modified optimization problem to determine current and future values of decision variables to implement in the plant. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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20. A non-transitory computer-readable medium having computer instructions encoded thereon, wherein the computer instructions comprise instructions for:
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determining an access level of a user operating an electronic device; transmitting a graphical representation of awell-posed optimization problem comprising an interconnected network of nodes and connections to an electronic device, wherein the optimization problem relates to an enterprise-integrated system and comprises a parametric objective function, one or more decision variables, and one or more parametric constraints, wherein at least one of the nodes comprises a parametric hybrid model that describes how decision variables influence the parametric objective function, and at least one connection comprises a parametric hybrid model that describes parametric constraints on decision variables in connected nodes, and the graphical representation of the optimization problem enables graphically modifying at least one of the parametric objective function, a decision variable, and a parametric constraint of the optimization problem by interaction with a node or a connection, wherein the parametric hybrid model for a node or connection comprises; an empirical model configured to generate a parameter model input based at least in part on a variable input to the node or connection; a parameter model configured to generate a fundamental model parameter based at least in part on the parameter model input and the variable input; and a parametric first principles model configured to generate a variable output of the node or connection based at least in part on the variable input and the fundamental model parameter; receiving a user command input relating to a node or connection in the graphical representation of the optimization problem; and processing the user command input according to the access level of the user, wherein processing the user command input comprises modifying the optimization problem by convexification of a node parametric hybrid model, a connection parametric hybrid model, or both, along a predicted operation trajectory of the enterprise-integrated system, wherein the parameter model, the parametric first-principle model, or both are convexified along the predicted operation trajectory; and executing optimization with the modified optimization problem without adjusting the objective function and the constraints to determine current and future values for decision variables to implement in the enterprise-integrated system during the predicted operation trajectory.
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Specification