Patents by Inventor Charles J. Woolard

Charles J. Woolard 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).

  • Patent number: 11797550
    Abstract: Disclosed herein is a data science platform that is built with a specific focus on monitoring and analyzing the operation of industrial assets, such as trucking assets, rail assets, construction assets, mining assets, wind assets, thermal assets, oil-and-gas assets, and manufacturing assets, among other possibilities. The disclosed data science platform is configured to carry out operations including (i) ingesting asset-related data from various different data sources and storing it for downstream use, (ii) transforming the ingested asset-related data into a desired formatting structure and then storing it for downstream use, (iii) evaluating the asset-related data to derive insights about an asset's operation that may be of interest to a platform user, which may involve data science models that have been specifically designed to analyze asset-related data in order to gain a deeper understanding of an asset's operation, and (iv) presenting derived insights and other asset-related data to platform users.
    Type: Grant
    Filed: October 25, 2019
    Date of Patent: October 24, 2023
    Assignee: UPTAKE TECHNOLOGIES, INC.
    Inventors: Brad Boven, James Lamb, Charles J. Woolard, Dan Collins, Michael Gorman
  • Publication number: 20210034581
    Abstract: Disclosed herein is a data science platform that is built with a specific focus on monitoring and analyzing the operation of industrial assets, such as trucking assets, rail assets, construction assets, mining assets, wind assets, thermal assets, oil-and-gas assets, and manufacturing assets, among other possibilities. The disclosed data science platform is configured to carry out operations including (i) ingesting asset-related data from various different data sources and storing it for downstream use, (ii) transforming the ingested asset-related data into a desired formatting structure and then storing it for downstream use, (iii) evaluating the asset-related data to derive insights about an asset's operation that may be of interest to a platform user, which may involve data science models that have been specifically designed to analyze asset-related data in order to gain a deeper understanding of an asset's operation, and (iv) presenting derived insights and other asset-related data to platform users.
    Type: Application
    Filed: October 25, 2019
    Publication date: February 4, 2021
    Inventors: Brad Boven, James Lamb, Charles J. Woolard, Dan Collins, Michael Gorman