Building management system with generative AI-based predictive maintenance
US12282305B2 · kind B2 · utility
Assignee
Inventors
- Julie J. Brown
- Young-Min Lee
- Rajiv Ramanasankaran
- Sastry K. 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
Key dates
| Filing date | Jan 22, 2024 |
| Grant date | Apr 22, 2025 |
| Priority date | — |
| Expiry date | Jan 22, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/2642
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method including training, by one or more processors, a generative AI model using first operating data from building equipment and a plurality of first service reports indicating a plurality of first problems associated with the building equipment. The method may include predicting, by the one or more processors using the generative AI model, one or more future problems likely to occur with the building equipment based on second operating data from the building equipment. The method may include automatically initiating, by the one or more processors, one or more actions to prevent the one or more future problems from occurring or mitigate an effect of the one or more future problems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.