The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 27, 2021

Filed:

Jul. 05, 2017
Applicant:

Aspen Technology, Inc., Bedford, MA (US);

Inventors:

Ajay Modi, Newton, MA (US);

Ashok Rao, Sugar Land, TX (US);

Thomas W. S. Lewis, Waltham, MA (US);

Mikhail Noskov, Acton, MA (US);

Sheng Hua Zheng, Shanghai, CN;

Willie K. C. Chan, Framingham, MA (US);

Assignee:

Aspen Technology, Inc., Bedford, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/04 (2006.01); G05B 17/02 (2006.01);
U.S. Cl.
CPC ...
G05B 13/048 (2013.01); G05B 17/02 (2013.01);
Abstract

Computer-implemented methods and systems construct a calibrated operation-centric first-principles model suitable for online deployment to monitor, predict, and control real-time plant operations. The methods and systems identify a plant-wide first-principles model configured for offline use and select a modeled operating unit contained in the plant-wide model. The methods and systems convert the plant-wide model to an operation-centric first-principles model of the selected modeled operating unit. The methods and systems recalibrate the operation-centric model to function using real-time measurements collected by physical instruments of the operating unit at the plant. The recalibration may include reconciling flow and temperature, estimating feed compositions, and tuning liquid and vapor traffic flow in the model. The methods and systems deploy the operation-centric model to calculate KPIs (Key Performance Indicators) using real-time measurements. A processor employs the KPIs and automatically predicts and controls behavior of the physical operating unit at the plant.


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