BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED PREDICTIVE MAINTENANCE

The patent application describes a method that uses a generative AI model to predict future problems with building equipment based on operating data and service reports. It then automatically initiates actions to prevent or mitigate these future problems.

Training a generative AI model using operating data and service reports
Predicting future problems with building equipment
Automatically initiating actions to prevent or mitigate future problems

Key Features and Innovation

Utilizes generative AI model for predictive maintenance of building equipment
Automates the process of identifying and addressing potential issues before they occur
Improves efficiency and reduces downtime by proactively managing equipment maintenance

Potential Applications

This technology can be applied in various industries such as:

Manufacturing
Healthcare
Energy management
Facility management

Problems Solved

Predictive maintenance of building equipment
Proactive problem-solving to prevent downtime
Efficient management of equipment maintenance

Benefits

Cost savings through reduced downtime
Improved equipment reliability
Enhanced operational efficiency

Commercial Applications

Title: Predictive Maintenance Technology for Building Equipment This technology can be used in commercial buildings, industrial facilities, and healthcare institutions to streamline maintenance processes, reduce costs, and improve overall operational efficiency.

Questions about Predictive Maintenance Technology for Building Equipment

1. How does this technology improve the efficiency of maintenance processes?

  - This technology improves efficiency by predicting future problems with building equipment and taking proactive actions to prevent or mitigate them.

2. What industries can benefit from the application of this technology?

  - Industries such as manufacturing, healthcare, energy management, and facility management can benefit from this technology.

Original Abstract Submitted

a method including training, by one or more processors, a generative ai model using first operating data from building equipment and a plurality of first service reports indicating a plurality of first problems associated with the building equipment. the method may include predicting, by the one or more processors using the generative ai model, one or more future problems likely to occur with the building equipment based on second operating data from the building equipment. the method may include automatically initiating, by the one or more processors, one or more actions to prevent the one or more future problems from occurring or mitigate an effect of the one or more future problems.

Johnson Controls Tyco IP Holdings LLP (20240345554). BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED PREDICTIVE MAINTENANCE simplified abstract

Contents

BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED PREDICTIVE MAINTENANCE

Organization Name

Inventor(s)