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:
Mar. 04, 2025

Filed:

Jan. 22, 2024
Applicant:

Tyco Fire & Security Gmbh, Neuhausen am Rheinfall, CH;

Inventors:

Julie J. Brown, Yardley, PA (US);

Young M. Lee, Old Westbury, NY (US);

Rajiv Ramanasankaran, San Jose, CA (US);

Sastry KM Malladi, Fremont, CA (US);

Michael Tenbrock, Dachsen, CH;

Levent Tinaz, Tampa Bay, FL (US);

Samuel A Girard, Kenosha, WI (US);

David S. Elario, Hartland, WI (US);

Juliet A Pagliaro Herman, Waukesha, WI (US);

Miguel Galvez, Westford, MA (US);

Trent M. Swanson, Wellington, FL (US);

John F. Kuchler, Muskego, WI (US);

Deepak Budhiraja, Ashburn, VA (US);

Daniela M. Natali, Kensington, MD (US);

Josip Lazarevski, Zurich, CH;

Scott Deering, Milwaukee, WI (US);

Gary W. Gavin, Franklin, WI (US);

Kristen Sheppard-Guzelaydin, West Chester, PA (US);

James Young, Cork, IE;

Prashanthi Sudhakar, San Francisco, CA (US);

Kaleb Luedtke, West Bend, WI (US);

Karl F. Reichenberger, Mequon, WI (US);

Wenwen Zhao, Santa Clara, CA (US);

Adam R. Grabowski, Brookfield, WI (US);

Lauren C. Dern, Fox Point, WI (US);

Nicole A. Madison, Milwaukee, WI (US);

Dana S. Petersen, Milwaukee, WI (US);

Nevin L. Forry, York, PA (US);

Pedriant Pena, Groveland, MA (US);

Ghassan R. Hamoudeh, San Marcos, CA (US);

Ryan G. Danielson, Castle Rock, CO (US);

Assignee:

Tyco Fire & Security GmbH, Neuhausen am Rheinfall, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G05B 23/02 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G05B 23/0243 (2013.01);
Abstract

A method including training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment. The generative AI model may be trained to predict root causes of a plurality of first problems corresponding to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request for servicing building equipment. The method may include predicting, by the one or more processors using the generative AI model, a root cause of a second problem corresponding to the second service request based on characteristics of the second service request and one or more patterns or trends identified from the plurality of first service requests using the generative AI model.


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