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:
Dec. 06, 2022

Filed:

Jun. 04, 2020
Applicant:

Honeywell International Inc., Morristown, NJ (US);

Inventors:

Kurt Edward Kraus, Tulsa, OK (US);

Matthew Martin, Tulsa, OK (US);

Tobias Nebel, North Vancouver, CA;

Michael Kon Yew Hughes, Vancouver, CA;

Frank M. Haran, Quebec, CA;

Sebastien Tixier, North Vancouver, CA;

James W. Harris, Palatine, IL (US);

Assignee:

Honeywell International Inc., Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F23N 5/00 (2006.01); F23N 5/16 (2006.01); G06V 10/22 (2022.01); G06V 10/56 (2022.01); F23G 7/08 (2006.01);
U.S. Cl.
CPC ...
F23N 5/003 (2013.01); F23N 5/16 (2013.01); G06V 10/22 (2022.01); G06V 10/56 (2022.01); F23G 7/085 (2013.01); F23G 2209/141 (2013.01); F23N 2225/10 (2020.01); F23N 2241/18 (2020.01);
Abstract

Methods and systems for monitoring a flare burner with a camera. The methods and systems which may indicate to operators the presence or absence of one or more of smoke, flare flame, and steam plume and record those indications or measurements. Additionally, the methods and systems may confirm whether compliance with local regulations on visual emissions, smoke plume is achieved. The methods and systems automatically adjust the delivery rate of key inputs including measures assist fuel gas, purge gas, steam and/or air simultaneously to maintain or attain compliance with said local regulatory requirements. Also, methods for a machine learning process for using controller inputs to identify normal and abnormal flare states and provide visual indications and flare operation recommendations.


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