US 12,124,931 B1
Building management system with generative AI-based root cause prediction preliminary class
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); and Ryan G. Danielson, Castle Rock, CO (US)
Assigned to TYCO FIRE & SECURITY GMBH, Neuhausen am Rheinfall (CH)
Filed by Tyco Fire & Security GmbH, Neuhausen am Rheinfall (CH)
Filed on Jan. 22, 2024, as Appl. No. 18/419,442.
Claims priority of provisional application 63/470,118, filed on May 31, 2023.
Claims priority of provisional application 63/458,871, filed on Apr. 12, 2023.
Int. Cl. G06N 20/00 (2019.01); G05B 23/02 (2006.01)
CPC G06N 20/00 (2019.01) [G05B 23/0243 (2013.01)] 27 Claims
OG exemplary drawing
 
1. A method comprising:
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 trained to predict root causes of a plurality of first problems corresponding to the plurality of first service requests;
receiving, by the one or more processors, outcome data indicating whether the predicted root causes of the plurality of first problems using the generative AI model were determined to be actual root causes of the plurality of first problems after performing service on the building equipment in response to the plurality of first service requests;
retraining the generative AI model using the outcome data;
receiving, by the one or more processors, a second service request for servicing building equipment; and
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.