Tyco Fire & Security Gmbh

Ryan G Danielson

Karl F Reichenberger

Rajiv Ramanasankaran

Young M Lee

Adam R Grabowski

Gary W Gavin

John F Kuchler

Julie J Brown

James Young

Nicole A Madison

Dana S Petersen

Juliet A Pagliaro Herman

Kaleb Luedtke

Josip Lazarevski

David S Elario

Samuel A Girard

Nevin L Forry

Kristen Sheppard-Guzelaydin

Ghassan R Hamoudeh

Lauren C Dern

Pedriant Pena

Prashanthi Sudhakar

Michael Tenbrock

Levent Tinaz

Deepak Budhiraja

Daniela M Natali

Scott Deering

Wenwen Zhao

Miguel Galvez

Trent Mark Swanson

Sastry Km Malladi

Sastry K M Malladi

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.

Building management system with generative AI-based interactive service tool

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.

Building management system with generative AI-based automated flexible customer report generation and standardization

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.

Building management system with generative AI-based predictive maintenance

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.

Building management system with generative AI-based root cause prediction

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Castle Rock, CO, United States of America

Ryan G Danielson