Patents by Inventor Raphael GOJ

Raphael GOJ 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).

  • Data-reduced edge-to-cloud transmission based on prediction models
    Patent number: 12596360
    Abstract: A method for providing process data of a device in an industrial automation environment to a computer system. In one embodiment, the method includes the following steps: executing a process data model on the device for generating estimated process data; determining that the estimated process data deviates from the real process data by more than a threshold value; and only if the estimated process data deviates from the real process data by more than the threshold value: transmitting information representing the real process data from the device to the computer system.
    Type: Grant
    Filed: August 25, 2022
    Date of Patent: April 7, 2026
    Assignee: Wago Verwaltungsgesellschaft mbH
    Inventors: Michael Heller, Raphael Goj
  • Adjusting the data transmission from a control device to a cloud system by means of machine learning
    Patent number: 12537876
    Abstract: A method for adjusting the data transmission from an industrial control device to a cloud system, the method comprising steps carried out by a cloud application, the steps comprising: determining usage behavior by means of machine learning, by the cloud system or an associated computer system connected thereto, of data, more particularly process data, transmitted from the industrial control device; and sending at least one command to the industrial control device in order to adjust the data transmission.
    Type: Grant
    Filed: February 16, 2023
    Date of Patent: January 27, 2026
    Assignee: Wago Verwaltungsgesellschaft mbH
    Inventors: Michael Heller, Raphael Goj, Josha Dittgen
  • ADJUSTING THE DATA TRANSMISSION FROM A CONTROL DEVICE TO A CLOUD SYSTEM BY MEANS OF MACHINE LEARNING
    Publication number: 20230224366
    Abstract: A method for adjusting the data transmission from an industrial control device to a cloud system, the method comprising steps carried out by a cloud application, the steps comprising: determining usage behavior by means of machine learning, by the cloud system or an associated computer system connected thereto, of data, more particularly process data, transmitted from the industrial control device; and sending at least one command to the industrial control device in order to adjust the data transmission.
    Type: Application
    Filed: February 16, 2023
    Publication date: July 13, 2023
    Applicant: WAGO Verwaltungsgesellschaft mbH
    Inventors: Michael HELLER, Raphael GOJ, Josha DITTGEN
  • DATA-REDUCED EDGE-TO-CLOUD TRANSMISSION BASED ON PREDICTION MODELS
    Publication number: 20220413477
    Abstract: A method for providing process data of a device in an industrial automation environment to a computer system. In one embodiment, the method includes the following steps: executing a process data model on the device for generating estimated process data; determining that the estimated process data deviates from the real process data by more than a threshold value; and only if the estimated process data deviates from the real process data by more than the threshold value: transmitting information representing the real process data from the device to the computer system.
    Type: Application
    Filed: August 25, 2022
    Publication date: December 29, 2022
    Applicant: WAGO Verwaltungsgesellschaft mbH
    Inventors: Michael HELLER, Raphael GOJ