Building Management System With Generative AI-Based Root Cause Prediction
Summary
USPTO published patent application US20260099773A1 titled 'Building Management System With Generative AI-Based Root Cause Prediction' on April 9, 2026. The application discloses a method for training a generative AI model using historical service requests to predict root causes of building equipment problems. Filing date was December 10, 2025.
What changed
USPTO published patent application US20260099773A1 disclosing a generative AI model for predicting root causes of building equipment failures. The method involves training the AI using historical service requests handled by technicians and applying learned patterns to predict root causes of new service requests.
Affected parties including manufacturers of building management systems and technology companies developing AI-based predictive maintenance solutions should monitor this application for potential future patent claims that may affect product development strategies or licensing considerations.
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- Monitor for updates
Archived snapshot
Apr 11, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED ROOT CAUSE PREDICTION
Application US20260099773A1 Kind: A1 Apr 09, 2026
Inventors
Julie J. Brown, Young M. Lee, Rajiv Ramanasankaran, Sastry KM Malladi, Michael Tenbrock, Levent Tinaz, Samuel A. Girard, David S. Elario, Juliet A. Pagliaro Herman, Miguel Galvez, Trent M. Swanson, John F. Kuchler, Deepak Budhiraja, Daniela M. Natali, Josip Lazarevski, Scott Deering, Gary W. Gavin, Kristen Sheppard-Guzelaydin, James Young, Prashanthi Sudhakar, Kaleb Luedtke, Karl F. Reichenberger, Wenwen Zhao, Adam R. Grabowski, Lauren C. Dern, Nicole A. Madison, Dana S. Petersen, Nevin L. Forry, Pedriant Pena, Ghassan R. Hamoudeh, Ryan G. Danielson
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.
CPC Classifications
G06N 20/00 G05B 23/0243 G05B 23/0275 G06N 3/0475
Filing Date
2025-12-10
Application No.
19415553
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