Tyco Fire & Security GmbH (20240345573). BUILDING SYSTEM WITH GENERATIVE AI-BASED ANALYSIS AND CONTEXTUAL INSIGHT GENERATION simplified abstract

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BUILDING SYSTEM WITH GENERATIVE AI-BASED ANALYSIS AND CONTEXTUAL INSIGHT GENERATION

Organization Name

Tyco Fire & Security GmbH

Inventor(s)

Himanshu Goyal of Meerut (IN)

Pragati Sahebrao Chopade of Buldhana (IN)

Krishnamurthy Selvaraj of Büchen (DE)

Chenlu Zhang of Milwaukee WI (US)

Rajiv Ramanasankaran of San Jose CA (US)

Wenwen Zhao of Santa Clara CA (US)

BUILDING SYSTEM WITH GENERATIVE AI-BASED ANALYSIS AND CONTEXTUAL INSIGHT GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240345573 titled 'BUILDING SYSTEM WITH GENERATIVE AI-BASED ANALYSIS AND CONTEXTUAL INSIGHT GENERATION

    • Simplified Explanation:**

The patent application describes a method for servicing building equipment using generative artificial intelligence models. This involves creating a set of analysis components to describe the expected behaviors of the equipment, combining these components to form a concise set, prompting an AI model, and performing automated actions based on the AI model's response.

    • Key Features and Innovation:**
  • Utilizes generative artificial intelligence models for servicing building equipment.
  • Creates analysis components to describe expected behaviors of the equipment.
  • Combines multiple analysis components to form a concise set.
  • Automates actions for servicing equipment based on AI model responses.
    • Potential Applications:**

This technology can be applied in various industries such as construction, facility management, and building maintenance.

    • Problems Solved:**
  • Streamlines the process of servicing building equipment.
  • Improves efficiency and accuracy in equipment maintenance.
  • Reduces the need for manual intervention in equipment servicing.
    • Benefits:**
  • Enhances the overall performance and lifespan of building equipment.
  • Saves time and resources by automating maintenance tasks.
  • Increases operational efficiency and reduces downtime.
    • Commercial Applications:**

The technology can be used by building maintenance companies, facility management firms, and construction companies to optimize equipment servicing processes and improve overall operational efficiency.

    • Prior Art:**

Readers can explore prior research on generative artificial intelligence models in equipment maintenance and building automation to understand the existing knowledge in this field.

    • Frequently Updated Research:**

Stay updated on the latest advancements in generative AI models for building equipment servicing to leverage cutting-edge technology in maintenance practices.

    • Questions about Building Equipment Servicing:**

1. How does this technology improve the efficiency of building equipment maintenance? 2. What are the potential cost savings associated with using generative AI models for equipment servicing?


Original Abstract Submitted

a method for servicing building equipment using generative artificial intelligence models includes creating a set of analysis components that describe expected behaviors of the building equipment, combining multiple analysis components that satisfy a similarity criterion to form a concise set of analysis components, prompting a generative artificial intelligence model using the concise set of analysis components, and performing an automated action for servicing the building equipment based on the response of the generative artificial intelligence model.