Tyco Fire & Security GmbH (20240346611). BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED AUTOMATED FLEXIBLE CUSTOMER REPORT GENERATION simplified abstract

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BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED AUTOMATED FLEXIBLE CUSTOMER REPORT GENERATION

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 FLEXIBLE CUSTOMER REPORT GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346611 titled 'BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED AUTOMATED FLEXIBLE CUSTOMER REPORT GENERATION

The method described in the patent application involves receiving an unstructured service report related to servicing building equipment, which may contain data in various formats. The method then uses a generative AI model to automatically generate a structured service report in a predetermined format for delivery to the customer.

  • Utilizes generative AI model to convert unstructured service reports into structured reports
  • Provides additional content generated by the AI model in the structured service report
  • Improves efficiency and accuracy in creating service reports for building equipment maintenance
  • Enhances communication with customers by delivering standardized and detailed service reports
  • Streamlines the process of documenting service requests and outcomes

Potential Applications: - Facility management companies - Building maintenance services - Equipment servicing companies

Problems Solved: - Handling unstructured data in service reports - Ensuring consistency and accuracy in service report generation - Enhancing customer communication and satisfaction

Benefits: - Increased efficiency in creating service reports - Improved customer experience through standardized reports - Enhanced data analysis capabilities for service requests

Commercial Applications: Title: AI-Powered Service Report Generation for Building Equipment Maintenance This technology can be applied in facility management companies to streamline service report generation processes, improve customer communication, and enhance overall service quality. It can also be utilized by building maintenance services and equipment servicing companies to optimize their operations and deliver more comprehensive reports to customers.

Questions about AI-Powered Service Report Generation for Building Equipment Maintenance:

1. How does the use of a generative AI model improve the process of creating structured service reports? The generative AI model analyzes unstructured data from service reports and converts it into a standardized format, ensuring consistency and accuracy in the generated reports.

2. What are the potential implications of using AI-powered service report generation in the building equipment maintenance industry? AI-powered service report generation can lead to increased efficiency, improved customer satisfaction, and enhanced data analysis capabilities, ultimately benefiting both service providers and customers.


Original Abstract Submitted

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.