Patents by Inventor Kamy Tehranchi

Kamy Tehranchi 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).

  • Systems and Methods for Improved Pipeline Leak Detection
    Publication number: 20240361202
    Abstract: Provided herein are systems and methods to detect pipeline leaks. The systems and method can identify a pipeline pressure surge by applying a trained convolutional neural network (CNN) model for classifying pipeline pressure measurement images on each sensor site of a plurality of sensor sites, transfer pressure surge information obtained from at least a portion of the plurality of sensor sites to a cloud site, and determine whether the identified pressure surge is a pipeline leak at the cloud site using the pressure surge information. The plurality of sensor sites collect pipeline pressure measurement data. The pressure surge information corresponds to the identified pipeline pressure surge.
    Type: Application
    Filed: July 5, 2024
    Publication date: October 31, 2024
    Applicant: Pipesense, LLC
    Inventors: Dingding Chen, Michael David Nash, Kamy Tehranchi, Scott Bauer, Stuart Mitchell
  • Systems and methods for improved pipeline leak detection
    Patent number: 12055464
    Abstract: Provided herein are systems and methods to detect pipeline leaks. The systems and method can identify a pipeline pressure surge by applying a trained convolutional neural network (CNN) model for classifying pipeline pressure measurement images on each sensor site of a plurality of sensor sites, transfer pressure surge information obtained from at least a portion of the plurality of sensor sites to a cloud site, and determine whether the identified pressure surge is a pipeline leak at the cloud site using the pressure surge information. The plurality of sensor sites collect pipeline pressure measurement data. The pressure surge information corresponds to the identified pipeline pressure surge.
    Type: Grant
    Filed: April 14, 2023
    Date of Patent: August 6, 2024
    Assignee: Pipesense, LLC
    Inventors: Dingding Chen, Michael David Nash, Kamy Tehranchi, Scott Bauer, Mitchell Stuart
  • SYSTEMS AND METHODS FOR IMPROVED PIPELINE LEAK DETECTION
    Publication number: 20230332976
    Abstract: Provided herein are systems and methods to detect pipeline leaks. The systems and method can identify a pipeline pressure surge by applying a trained convolutional neural network (CNN) model for classifying pipeline pressure measurement images on each sensor site of a plurality of sensor sites, transfer pressure surge information obtained from at least a portion of the plurality of sensor sites to a cloud site, and determine whether the identified pressure surge is a pipeline leak at the cloud site using the pressure surge information. The plurality of sensor sites collect pipeline pressure measurement data. The pressure surge information corresponds to the identified pipeline pressure surge.
    Type: Application
    Filed: April 14, 2023
    Publication date: October 19, 2023
    Inventors: Dingding Chen, Michael David Nash, Kamy Tehranchi, Scott Bauer, Mitchell Stuart