Patents by Inventor Deepak Uppal

Deepak Uppal has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Building management system with containerized engines
    Patent number: 12607975
    Abstract: The present disclosure relates to a building management system (BMS) comprising one or more field equipment controllers, and at least one containerized engine configured within a server to control the one or more field equipment controllers.
    Type: Grant
    Filed: October 12, 2023
    Date of Patent: April 21, 2026
    Assignee: TYCO FIRE & SECURITY GMBH
    Inventors: Siva Naga Babu Kammela, Donald A Gottschalk, Jr., Daniel R Gottschalk, Anand Bongale, Pranay Joshi, Deepak Uppal, Vivek V. Gupta, Peter J. Hazelberg
  • Efficient integration of machine learning models in building management systems
    Patent number: 12045048
    Abstract: A building management system including one or more memory devices and one or more processors, the one or more memory devices configured to store instructions to be executed on the one or more processors, the processors configured to generate a first predictive model using a machine learning technique and an operating data set based on one or more operating parameters associated with at least one of a plurality of BMS subsystems. The processors are further configured to store the first predictive model at a first time interval, to receive a prediction request from a user input at a second time interval following the first time interval, and to retrieve the first predictive model. The one or more processors are further configured execute the retrieved predictive model to generate a first prediction in response to the prediction request; and initiate an automated control response based on the first prediction.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: July 23, 2024
    Inventors: Priti Shinde, Deepak Uppal
  • EFFICIENT INTEGRATION OF MACHINE LEARNING MODELS IN BUILDING MANAGEMENT SYSTEMS
    Publication number: 20220317675
    Abstract: A building management system including one or more memory devices and one or more processors, the one or more memory devices configured to store instructions to be executed on the one or more processors, the processors configured to generate a first predictive model using a machine learning technique and an operating data set based on one or more operating parameters associated with at least one of a plurality of BMS subsystems. The processors are further configured to store the first predictive model at a first time interval, to receive a prediction request from a user input at a second time interval following the first time interval, and to retrieve the first predictive model. The one or more processors are further configured execute the retrieved predictive model to generate a first prediction in response to the prediction request; and initiate an automated control response based on the first prediction.
    Type: Application
    Filed: March 31, 2021
    Publication date: October 6, 2022
    Inventors: Priti Shinde, Deepak Uppal