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Multi-objective predictive process optimization with concurrent process simulation

A technology of process simulation and simulation, applied in the direction of program control, electrical program control, general control system, etc., can solve the problem that the process optimizer cannot provide solutions, etc.

Inactive Publication Date: 2008-12-10
FISHER-ROSEMOUNT SYST INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the process optimizer cannot provide a solution if said solution does not exist within the predefined range and bounds
As a consequence, the process optimizer cannot provide solutions in every case

Method used

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  • Multi-objective predictive process optimization with concurrent process simulation
  • Multi-objective predictive process optimization with concurrent process simulation
  • Multi-objective predictive process optimization with concurrent process simulation

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Embodiment Construction

[0036] Referring now to FIG. 1, a process facility 10 includes a plurality of commercial or other computer systems interconnected by one or more communication networks to a plurality of control and maintenance systems. Process plant 10 includes one or more process control systems 12 and 14 . Process control system 12 may be a conventional process control system, such as a PROVOX system or an RS3 system, or any other distributed control system (DCS), which includes an operator interface 12A connected to a controller 12B, and Connects to input / output (I / O) card 12C, which in turn connects to various field devices, such as analog field devices and HART (Highway Addressable Remote Transducer) field devices 15 . Process control system 14 may be a distributed process control system, such as the DeltaVTM control system, which includes one or more operator interfaces 14A connected by a bus, such as an Ethernet bus, to one or more distributed controllers 14B . Distributed controller ...

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PUM

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Abstract

A system and method for controlling a process includes simulating the process and producing a simulated output of the process, developing a set of target values based on measured inputs from the process and based on the simulated output from the process simulator, and producing multiple control outputs configured to control the process based on the set of target values during each operational cycle of the process control system. The simulated outputs include one or more predicted future values up to the steady state of the process.

Description

[0001] related application [0002] This patent claims priority to U.S. Provisional Application Serial No. 60 / 742,322, filed December 5, 2005, the entire contents of which are hereby incorporated by reference , are expressly incorporated into this patent. technical field [0003] The present disclosure relates generally to process control systems in process plants, and more particularly to process optimization using process simulation and predictive models. Background technique [0004] Process control systems are widely used in factories and / or plants that manufacture products or control processes (eg, chemical manufacturing, power plant control, etc.). Process control systems are also used in the extraction of natural resources, such as oil and gas drilling and processing processes. Virtually any manufacturing process, resource extraction process, etc., can be automated through the application of one or more process control systems. It is believed that the process contr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04G05B17/02G05B19/418G05B23/02
CPCG05B17/02G05B13/022G05B13/048G05B13/041G05B19/41885G05B23/02
Inventor 特瑞思·L·贝利文斯威廉·K·沃琼斯尼斯马克·J·尼克松彼得·沃琼斯尼斯
Owner FISHER-ROSEMOUNT SYST INC
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