Johnson Controls Tyco IP Holdings LLP (20240346036). BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED INTERACTIVE SERVICE TOOL simplified abstract

BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED INTERACTIVE SERVICE TOOL

Organization Name

Johnson Controls Tyco IP Holdings LLP

Inventor(s)

Julie J. Brown of Yardley PA (US)

Young M. Lee of Old Westbury NY (US)

Rajiv Ramanasankaran of San Jose CA (US)

Sastry KM Malladi of Fremont CA (US)

Michael Tenbrock of Dachsen (CH)

Levent Tinaz of Tampa Bay FL (US)

Samuel A. Girard of Kenosha WI (US)

David S. Elario of Hartland WI (US)

Juliet A. Pagliaro Herman of Waukesha WI (US)

Miguel Galvez of Westford MA (US)

Trent M. Swanson of Wellington FL (US)

John F. Kuchler of Muskego WI (US)

Deepak Budhiraja of Ashburn VA (US)

Daniela M. Natali of Kensington MD (US)

Josip Lazarevski of Zurich (CH)

Scott Deering of Milwaukee WI (US)

Gary W. Gavin of Franklin WI (US)

Kristen Sheppard-guzelaydin of West Chester PA (US)

James Young of Cork (IE)

Prashanthi Sudhakar of San Francisco CA (US)

Kaleb Luedtke of West Bend WI (US)

Karl F. Reichenberger of Mequon WI (US)

Wenwen Zhao of Santa Clara CA (US)

Adam R. Grabowski of Brookfield WI (US)

Lauren C. Dern of Fox Point WI (US)

Nicole A. Madison of Milwaukee WI (US)

Dana S. Petersen of Milwaukee WI (US)

Nevin L. Forry of York PA (US)

Pedriant Pena of Groveland MA (US)

Ghassan R. Hamoudeh of San Marcos CA (US)

Ryan G. Danielson of Castle Rock CO (US)

BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED INTERACTIVE SERVICE TOOL - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346036 titled 'BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED INTERACTIVE SERVICE TOOL

The abstract describes a method that involves training a generative AI model using unstructured service reports related to service requests for building equipment. The AI model is used to prompt users for information about a problem in a new service request, which is then used to automatically address the issue.

• Training a generative AI model with unstructured service reports
• Prompting users for information about a problem in a new service request
• Automatically addressing the issue based on the provided information

Potential Applications: - Streamlining the process of addressing service requests for building equipment - Improving efficiency in servicing building equipment by automating actions based on user-provided information

Problems Solved: - Handling unstructured data in service reports efficiently - Prompting users for relevant information in service requests

Benefits: - Faster response times to service requests - More accurate and tailored solutions to building equipment issues

Commercial Applications: Title: Automated Building Equipment Servicing System This technology could be used in facility management companies to improve the efficiency and accuracy of servicing building equipment, leading to cost savings and improved customer satisfaction.

Questions about the technology: 1. How does the generative AI model handle different formats of unstructured data in service reports? The AI model is trained to understand and process various formats of unstructured data, allowing it to effectively prompt users for information in new service requests.

2. Can the system adapt to different types of building equipment and service requests? Yes, the system can be customized and trained to address a wide range of building equipment and service request scenarios.

Original Abstract Submitted

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.