Systems and methods using bridge models to globally optimize a process facility
First Claim
1. A control system for controlling associated processes within a process facility, comprising:
- a global controller that monitors said associated processes and generates, in response thereto, control data for optimizing said process facility;
a bridge predictor using a time-based prediction optimizer that is capable of modifying at least a portion of said control data in response to relationships among said associated processes; and
local controllers that operate in accordance with said control data to varying degrees to control said associated processes, cooperate with said global controller to optimize said process facility and modify said time-based prediction optimizer to correct mis-predictions thereby.
1 Assignment
0 Petitions
Accused Products
Abstract
A control system and a method of operating the same are introduced that globally optimize associated processes within a process facility. The control system includes a global controller, a bridge predictor and many local controllers. The global controller monitors characteristics of the associated processes and generates, in response thereto, control data for optimizing the process facility. The bridge predictor modifies at least a portion of the control data in response to relationships among the associated processes. The local controllers monitor the associated processes and operate in accordance with the control data to varying degrees to control the monitored associated processes, thereby cooperating with the global controller to optimize the process facility.
-
Citations
33 Claims
-
1. A control system for controlling associated processes within a process facility, comprising:
-
a global controller that monitors said associated processes and generates, in response thereto, control data for optimizing said process facility; a bridge predictor using a time-based prediction optimizer that is capable of modifying at least a portion of said control data in response to relationships among said associated processes; and local controllers that operate in accordance with said control data to varying degrees to control said associated processes, cooperate with said global controller to optimize said process facility and modify said time-based prediction optimizer to correct mis-predictions thereby. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
-
13. A method of operating a control system for controlling associated processes within a process facility, comprising the steps of:
-
globally monitoring said associated processes and generating, in response thereto, control data for optimizing said process facility; modifying at least a portion of said control data using a time-based prediction optimizer in response to relationships among said associated processes; locally controlling said associated processes, to varying degrees, in accordance with said control data to optimize said process facility; and modifying said time-based prediction optimizer to correct mis-predictions thereby. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22)
-
-
23. A control system for controlling associated processes within a process facility, comprising:
-
a global controller that monitors characteristics of said associated processes and generates, in response thereto, control data for optimizing said process facility; a bridge predictor using a time-based prediction optimizer that is capable of modifying at least a portion of said control data in response to relationships among said associated processes; and local controllers that monitor said associated processes, operate in accordance with said control data to varying degrees to control said monitored associated processes, cooperate with said global controller to optimize said process facility and modify said time-based prediction optimizer to correct mis-predictions thereby. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
-
Specification