IP Library › Granted Patent US 12,619,957
Granted Patent B2
US 12,619,957 · App. 18/633,040 · Granted May 5, 2026

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

Inventors: Julie J. Brown (Yardley, PA); Young M. Lee (Old Westbury, NY); Rajiv Ramanasankaran (San Jose, CA); Sastry KM Malladi (Fremont, CA); Michael Tenbrock (Dachsen, CH); Levent Tinaz (Tampa Bay, FL); Samuel A. Girard (Kenosha, WI); David S. Elario (Hartland, WI); Juliet A. Pagliaro Herman (Waukesha, WI); Miguel Galvez (Westford, MA); Trent M. Swanson (Wellington, FL); John F. Kuchler (Muskego, WI); Deepak Budhiraja (Ashburn, VA); Daniela M. Natali (Kensington, MD); Josip Lazarevski (Zurich, CH); Scott Deering (Milwaukee, WI); Gary W. Gavin (Franklin, WI); Kristen Sheppard-Guzelaydin (West Chester, PA); James Young (Cork, IE); Prashanthi Sudhakar (San Francisco, CA); Kaleb Luedtke (West Bend, WI); Karl F. Reichenberger (Mequon, WI); Wenwen Zhao (Santa Clara, CA); Adam R. Grabowski (Brookfield, WI); Lauren C. Dern (Fox Point, WI); Nicole A. Madison (Milwaukee, WI); Dana S. Petersen (Milwaukee, WI); Nevin L. Forry (York, PA); Pedriant Pena (Groveland, MA); Ghassan R. Hamoudeh (San Marcos, CA); Ryan G. Danielson (Castle Rock, CO)
Assignee: TYCO FIRE & SECURITY GMBH
G06Q10/20G06F40/103G06Q50/163
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Quick Facts
Patent No.
US 12,619,957
App. No.
18/633,040
Granted
May 5, 2026
Kind
B2
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.

Claims (59)

1 . A method comprising:

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 comprising HVAC equipment, the unstructured service report comprising unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats;

analyzing, by the one or more processors, the unstructured data in the unstructured service report to extract an identifier of the HVAC equipment, a building space, or a customer from the unstructured data in the unstructured service report;

obtaining, by the one or more processors, operating data generated by operating the HVAC equipment to affect a state of air within a building, the operating data obtained from one or more additional data sources separate from the unstructured service report and identified using the identifier of the HVAC equipment, the building space, or the customer extracted from the unstructured data in the unstructured service report;

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 HVAC equipment by transforming the unstructured service report into the structured service report, wherein the structured service report comprises additional content generated by the generative AI model based on the operating data and not provided within the unstructured service report, wherein automatically generating the structured service report comprises:

cross-referencing metadata associated with two or more unstructured data elements of the unstructured service report to determine whether the two or more unstructured data elements are related, the metadata comprising timestamps indicating times at which the two or more unstructured data elements are generated or location attributes indicating spatial locations in a building or campus at which the two or more unstructured data elements are generated;

generating two or more structured data elements of the structured service report based on the two or more unstructured data elements; and

associating the two or more structured data elements with each other in the structured service report in response to determining that the two or more unstructured data elements are related by comparing the timestamps or the location attributes; and

presenting, by the one or more processors, the structured service report in a graphical user interface including the additional content comprising trend information generated by the generative AI model based on time series data for a point associated with the HVAC equipment and included in the operating data.

2 . The method of claim 1 , wherein associating the two or more structured data elements with each other in the structured service report comprises placing the two or more structured data elements in proximity to each other in the structured service report.

3 . The method of claim 1 , wherein associating the two or more structured data elements with each other in the structured service report comprises adding a label to a first structured data element of the two or more structured data elements in the structured service report, the label referring to a second data element of the two or more structured data elements in the structured service report.

4 . The method of claim 1 , further comprising training, by the one or more processors, the generative AI model using training data comprising a plurality of unstructured service reports corresponding to a plurality of service requests handled by technicians for servicing the HVAC equipment, the training data not conforming to the predetermined format or conforming to the plurality of different predetermined formats.

5 . The method of claim 1 , wherein automatically generating the structured service report comprises:

identifying a customer, a building, or a type of the HVAC equipment associated with the service request;

selecting a predefined template for the structured service report from a set of multiple predefined templates based on the identified customer, building, or type of the HVAC equipment; and

generating the structured service report to conform to the predefined template.

6 . The method of claim 1 , further comprising receiving, by the one or more processors, additional data from the one or more additional data sources separate from the unstructured service report;

wherein automatically generating the structured service report comprises using the additional data to generate the additional content not provided within the unstructured service report.

7 . The method of claim 6 , wherein:

the additional data comprise the operational data generated during operation of the HVAC equipment; and

generating the additional content comprises using the operational data to construct the one or more charts, graphs, tables, or graphical data elements in the structured service report.

8 . The method of claim 1 , wherein automatically generating the structured service report comprises using the generative AI model to identify new correlations and/or patterns between two or more unstructured data elements of the unstructured service report.

9 . The method of claim 1 , further comprising:

receiving, by the one or more processors, feedback indicating a quality of the structured service report; and

configuring or updating, by the one or more processors, the generative AI model using the feedback.

10 . The method of claim 9 , wherein the feedback comprises user input from one or more subject matter experts, the user input comprising at least one of:

binary feedback associating the structured service report with a predetermined binary category;

technical feedback indicating whether the structured service report satisfies technical accuracy or precision criteria;

score feedback assigning a score to the structured service report on a predetermined scale; or

freeform feedback from the one or more subject matter experts.

11 . A method comprising:

receiving, by one or more processors, an unstructured service report corresponding to a service request handled by one or more technicians for servicing HVAC equipment, the unstructured service report comprising unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats;

analyzing, by the one or more processors, the unstructured data in the unstructured service report to extract an identifier of the HVAC equipment, a building space, or a customer from the unstructured data in the unstructured service report;

obtaining, by the one or more processors, operating data generated by operating the HVAC equipment to affect a state of air within a building, the operating data obtained from one or more additional data sources separate from the unstructured service report and identified using the identifier of the HVAC equipment, the building space, or the customer extracted from the unstructured data in the unstructured service report;

automatically generating, by the one or more processors using a machine learning model, a structured service report in the predetermined format for delivery to a customer associated with the HVAC equipment by transforming the unstructured service report into the structured service report, wherein the structured service report comprises additional content generated by the machine learning model and not provided within the unstructured service report, wherein automatically generating the structured service report comprises:

cross-referencing metadata associated with two or more unstructured data elements of the unstructured service report to determine whether the two or more unstructured data elements are related;

generating two or more structured data elements of the structured service report based on the two or more unstructured data elements; and

associating the two or more structured data elements with each other in the structured service report in response to determining that the two or more unstructured data elements are related by placing the two or more structured data elements in proximity to each other in the structured service report; and

presenting, by the one or more processors, the structured service report in a graphical user interface including the additional content comprising trend information generated by the machine learning model based on time series data for a point associated with the HVAC equipment and included in the operating data.

12 . The method of claim 11 , wherein:

the metadata comprise timestamps indicating times at which the two or more unstructured data elements are generated; and

determining that the two or more unstructured data elements are related comprises comparing the timestamps.

13 . The method of claim 11 , wherein:

the metadata comprise location attributes indicating spatial locations in a building or campus at which the two or more unstructured data elements are generated; and

determining that the two or more unstructured data elements are related comprises comparing the location attributes.

14 . The method of claim 11 , wherein associating the two or more structured data elements with each other in the structured service report comprises adding a label to a first structured data element of the two or more structured data elements in the structured service report, the label referring to a second data element of the two or more structured data elements in the structured service report.

15 . The method of claim 11 , wherein automatically generating the structured service report comprises:

identifying a customer, a building, or a type of the HVAC equipment associated with the service request;

selecting a predefined template for the structured service report from a set of multiple predefined templates based on the identified customer, building, or type of the HVAC equipment; and

generating the structured service report to conform to the predefined template.

16 . A method comprising:

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 comprising HVAC equipment, the unstructured service report comprising unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats;

analyzing, by the one or more processors, the unstructured data in the unstructured service report to extract an identifier of the HVAC equipment, a building space, or a customer from the unstructured data in the unstructured service report;

obtaining, by the one or more processors, operating data generated by operating the HVAC equipment to affect a state of air within a building, the operating data obtained from one or more additional data sources separate from the unstructured service report and identified using the identifier of the HVAC equipment, the building space, or the customer extracted from the unstructured data in the unstructured service report;

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 HVAC equipment by transforming the unstructured service report into the structured service report, wherein the structured service report comprises additional content generated by the generative AI model based on the operating data and not provided within the unstructured service report, wherein automatically generating the structured service report comprises:

cross-referencing metadata associated with two or more unstructured data elements of the unstructured service report to determine whether the two or more unstructured data elements are related;

generating two or more structured data elements of the structured service report based on the two or more unstructured data elements; and

associating the two or more structured data elements with each other in the structured service report in response to determining that the two or more unstructured data elements are related by adding a label to a first structured data element of the two or more structured data elements in the structured service report, the label referring to a second data element of the two or more structured data elements in the structured service report; and

presenting, by the one or more processors, the structured service report in a graphical user interface including the additional content comprising trend information generated by the generative AI model based on time series data for a point associated with the HVAC equipment and included in the operating data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 11, 2024
From: BROWN, JULIE J.; LEE, YOUNG M.; RAMANASANKARAN, RAJIV; MALLADI, SASTRY KM; TENBROCK, MICHAEL; TINAZ, LEVENT; GIRARD, SAMUEL A.; ELARIO, DAVID S.; PAGLIARO HERMAN, JULIET A.; GALVEZ, MIGUEL; SWANSON, TRENT M.; KUCHLER, JOHN F.; BUDHIRAJA, DEEPAK; NATALI, DANIELA M.; LAZAREVSKI, JOSIP; DEERING, SCOTT; GAVIN, GARY W.; SHEPPARD-GUZELAYDIN, KRISTEN; YOUNG, JAMES; SUDHAKAR, PRASHANTHI; LUEDTKE, KALEB; REICHENBERGER, KARL F.; ZHAO, WENWEN; GRABOWSKI, ADAM R.; DERN, LAUREN C.; MADISON, NICOLE A.; PETERSEN, DANA S.; FORRY, NEVIN L.; PENA, PEDRIANT; HAMOUDEH, GHASSAN R.; DANIELSON, RYAN G.
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 067698/0391 →