公开(公告)号：US20240345554A1

公开(公告)日：2024-10-17

申请号：US18419456

申请日：2024-01-22

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： 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

IPC: G05B15/02

CPC classification number: G05B15/02

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.

公开(公告)号：US20240346036A1

公开(公告)日：2024-10-17

申请号：US18419449

申请日：2024-01-22

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： 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

IPC: G06F16/25 ,  G06F11/07 ,  G06F16/332

CPC classification number: G06F16/258 ,  G06F11/079 ,  G06F16/3329

Abstract: A method including training, by one or more processors, a generative AI model using a plurality of first unstructured service reports corresponding to a plurality of first service requests handled by technicians for servicing building equipment. The plurality of first unstructured service reports include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method includes receiving, by the processors, a second service request for servicing building equipment. The method includes generating, by the processors using the generative AI model, a user interface prompting a user to provide information about a problem leading to the second service request as unstructured data not conforming to the predetermined format or conforming to the plurality of different predetermined formats. The method includes automatically initiating, by the processors, one or more actions to address the problem based on the information provided via the user interface.