公开(公告)号：US20240346458A1

公开(公告)日：2024-10-17

申请号：US18633049

申请日：2024-04-11

Applicant: Tyco Fire & Security GmbH

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: G06Q10/20 ,  G06F40/103

CPC classification number: G06Q10/20 ,  G06F40/103

Abstract: A method includes receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing building equipment. The unstructured service report may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include extracting, by the one or more processors, a set of standards from one or more technical documents associated with the building equipment. The method may include automatically generating, by the one or more processors using a generative AI model, a structured service report in the predetermined format for delivery to a customer associated with the building equipment. Generating the structured service report may include standardizing the structured service report to comply with the set of standards extracted from the one or more technical documents associated with the building equipment.

公开(公告)号：US20240346060A1

公开(公告)日：2024-10-17

申请号：US18633024

申请日：2024-04-11

Applicant: Tyco Fire & Security GmbH

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: G06F16/383 ,  G06F16/34 ,  G06Q30/012

CPC classification number: G06F16/383 ,  G06F16/345 ,  G06Q30/012

Abstract: A method includes receiving, by one or more processors, 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 may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include training, by the one or more processors, a generative AI model using the plurality of first unstructured service reports. The method may include performing, by the one or more processors using the trained generative AI model, one or more actions with respect a second service request subsequent to training the generative AI model.

公开(公告)号：US20240377792A1

公开(公告)日：2024-11-14

申请号：US18661057

申请日：2024-05-10

Applicant: Tyco Fire & Security GmbH

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 ,  Trent M. Swanson ,  Miguel Galvez ,  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 ,  Gregory A. Makowski

IPC: G05B13/02

Abstract: Systems and methods are disclosed relating to building management systems with building equipment servicing. For example, a system can include at least one machine learning model configured using training data that includes at least one of unstructured data or structured data regarding items of equipment. The system can provide inputs, such as prompts, to the at least one machine learning model regarding an item of equipment, and generate, according to the inputs, responses regarding the item of equipment, such as responses for detecting a cause of an issue of the item of equipment, performing a service operation corresponding to the cause, or guiding a user through the service operation.

公开(公告)号：US20240362544A1

公开(公告)日：2024-10-31

申请号：US18759267

申请日：2024-06-28

Applicant: Tyco Fire & Security GmbH

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: G06N20/00 ,  G05B23/02

CPC classification number: G06N20/00 ,  G05B23/0243 ,  G05B23/0275 ,  G06N3/0475

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.

公开(公告)号：US20240345560A1

公开(公告)日：2024-10-17

申请号：US18633068

申请日：2024-04-11

Applicant: Tyco Fire & Security GmbH

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: G05B19/042

CPC classification number: G05B19/042 ,  G05B2219/2642

Abstract: A method includes receiving, by one or more processors, unstructured service data corresponding to one or more service requests handled by technicians for servicing building equipment of a building. The method may include detecting, by the one or more processors, an identifier of the building equipment, a space of the building, or a customer associated with the building using the unstructured service data. The method may include retrieving, by the one or more processors based on the identifier of the building equipment, the space, or the customer, additional data associated with the building equipment, the space, or the customer from one or more additional data sources separate from the unstructured service data. The method may include training, by the one or more processors, a generative AI model using training data including the unstructured service data and the additional data.

公开(公告)号：US20240403714A1

公开(公告)日：2024-12-05

申请号：US18680955

申请日：2024-05-31

Applicant: Tyco Fire & Security GmbH

Inventor： Levent Tinaz

IPC: G06N20/00

Abstract: Systems and methods are disclosed relating to building management systems with building equipment servicing. For example, a system can include at least one machine learning model configured using training data that includes at least one of unstructured data or structured data regarding items of equipment. The system can provide inputs, such as prompts, to the at least one machine learning model regarding an item of equipment, and generate, according to the inputs, responses regarding the item of equipment, such as responses for detecting a cause of an issue of the item of equipment, performing a service operation corresponding to the cause, or guiding a user through the service operation.

公开(公告)号：US20240385576A1

公开(公告)日：2024-11-21

申请号：US18663780

申请日：2024-05-14

Applicant: Tyco Fire & Security GmbH

Inventor： Levent Tinaz ,  Steven C. Snyder ,  Ryan A. Baumgartner ,  John H. Burroughs ,  Michael J. Wenzel ,  Andrew J. Przybylski

IPC: G05B13/04 ,  G06F16/332

Abstract: A method includes receiving, by one or more processors, user input describing characteristics of a central utility plant for a building, the user input comprising textual or audible input, identifying, by the one or more processors, a plurality of pieces of building equipment satisfying the characteristics of the user input using an AI model based on the user input, and generating, by the one or more processors using the AI model, a central utility plant model for the central utility plant based on the textual or audible input. The central utility plant model satisfies the characteristics and includes the identified pieces of building equipment.

公开(公告)号：US20240346611A1

公开(公告)日：2024-10-17

申请号：US18633040

申请日：2024-04-11

Applicant: Tyco Fire & Security GmbH

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: G06Q50/163

CPC classification number: G06Q50/163

Abstract: A method includes receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing building equipment. The unstructured service report may include unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. The method may include automatically generating, by the one or more processors using a generative AI model, a structured service report in the predetermined format for delivery to a customer associated with the building equipment. The structured service report may include additional content generated by the generative AI model and not provided within the unstructured service report.

公开(公告)号：US20240346459A1

公开(公告)日：2024-10-17

申请号：US18633086

申请日：2024-04-11

Applicant: Tyco Fire & Security GmbH

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: G06Q10/20 ,  G06Q10/0631

CPC classification number: G06Q10/20 ,  G06Q10/0631

Abstract: A method includes training, by one or more processors, a generative AI model using a plurality of first service requests handled by technicians for servicing building equipment and outcome data indicating outcomes of the plurality of first service requests. The generative AI model may be trained to identify one or more patterns or trends between characteristics of the plurality of first service requests and the outcomes of the plurality of first service requests. The method may include receiving a second service request for servicing building equipment. The method may include automatically determining, using the generative AI model, one or more responses to the second service request based on characteristics of the second service request and the one or more patterns or trends between the characteristics of the plurality of first service requests and the outcomes of the plurality of first service requests identified using the generative AI model.

公开(公告)号：US20240346311A1

公开(公告)日：2024-10-17

申请号：US18633097

申请日：2024-04-11

Applicant: Tyco Fire & Security GmbH

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: G06N3/08

CPC classification number: G06N3/08

Abstract: A method includes training, by one or more processors, a generative AI model using training data including a plurality of first service requests indicating a plurality of first problems associated with building equipment and a plurality of first actions performed in response to the plurality of first service requests. The method may include receiving, by the one or more processors, a second service request indicating a second problem associated with building equipment. The method may include automatically determining, by the one or more processors using the generative AI model, one or more second actions to perform based on characteristics of the second service request. The method may include automatically initiating, by the one or more processors, the one or more second actions to address the second problem associated with the building equipment.