Tyco Fire & Security GmbH (20240346311). BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED AUTOMATED INTERVENTION simplified abstract

BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED AUTOMATED INTERVENTION

Organization Name

Tyco Fire & Security GmbH

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 AUTOMATED INTERVENTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346311 titled 'BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED AUTOMATED INTERVENTION

• • Simplified Explanation:**

The patent application describes a method that involves training a generative AI model to address service requests related to building equipment problems. The AI model is used to automatically determine and initiate actions to resolve these issues.

• • Key Features and Innovation:**
• Training a generative AI model using data on service requests and actions related to building equipment problems.
• Automatically determining and initiating actions in response to service requests using the AI model.

• • Potential Applications:**

This technology can be applied in various industries where building equipment maintenance and repair are required, such as construction, facilities management, and property management.

• • Problems Solved:**

This technology streamlines the process of addressing building equipment problems by automating the determination and initiation of actions in response to service requests, improving efficiency and reducing downtime.

• • Benefits:**
• Faster response to service requests for building equipment problems.
• Improved accuracy in determining appropriate actions to address issues.
• Increased efficiency in resolving building equipment problems.

• • Commercial Applications:**
• Title: Automated Building Equipment Maintenance and Repair System
• This technology can be commercialized as a software solution for building maintenance companies, facility management firms, and property owners to streamline the process of addressing equipment problems efficiently.

• • Questions about Building Equipment Maintenance and Repair:**

1. How does the generative AI model improve the efficiency of addressing building equipment problems? 2. What are the potential cost savings associated with automating the determination and initiation of actions in response to service requests for building equipment maintenance?

Original Abstract Submitted

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.