Patents by Inventor Lingyu Ren

Lingyu Ren 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: 11934522
    Abstract: A system for detecting malicious operation of a building system includes a power characteristic input connected to a plurality of power characteristic sensors, a processor and a memory. The memory stores instructions for operating at least a physics model detection, a machine learning model detection and a combination module. The physics model detection includes multiple predefined expected power characteristics and is configured to detect an anomaly when at least one power characteristic received at the power characteristic input deviates from a corresponding predefined expected power characteristic of the predefined expected power characteristics. The machine learning model includes a machine learning system configured to learn a set of expected normal power characteristics and detect the anomaly when at least one power characteristic received at the power characteristic input deviates from the learned set of expected normal power characteristics.
    Type: Grant
    Filed: August 27, 2019
    Date of Patent: March 19, 2024
    Assignee: Carrier Corporation
    Inventors: Devu Manikantan Shila, Lingyu Ren, Mahmoud El Chamie, Fragkiskos Koufogiannis
  • Publication number: 20210248233
    Abstract: A system for detecting malicious operation of a building system includes a power characteristic input connected to a plurality of power characteristic sensors, a processor and a memory. The memory stores instructions for operating at least a physics model detection, a machine learning model detection and a combination module. The physics model detection includes multiple predefined expected power characteristics and is configured to detect an anomaly when at least one power characteristic received at the power characteristic input deviates from a corresponding predefined expected power characteristic of the predefined expected power characteristics. The machine learning model includes a machine learning system configured to learn a set of expected normal power characteristics and detect the anomaly when at least one power characteristic received at the power characteristic input deviates from the learned set of expected normal power characteristics.
    Type: Application
    Filed: August 27, 2019
    Publication date: August 12, 2021
    Inventors: Devu Manikantan Shila, Lingyu Ren, Mahmoud El Chamie, Fragkiskos Koufogiannis
  • Patent number: 10505853
    Abstract: Systems and methods for integrating ultra-fast programmable networks in microgrid are disclosed to provide flexible and easy-to-manage communication solutions, thus enabling resilient microgrid operations in face of various cyber and physical disturbances. The system is configured to establish a novel software-defined networking (SDN) based communication architecture which abstracts the network infrastructure from the upper-level applications to significantly expedite the development of microgrid applications, develop three functions of the SDN controller for microgrid emergency operations, including time delay guarantee, failover reconfiguration and rate limit and create a hardware-in-the-loop cyber-physical platform for evaluating and validating the performance of the presented architecture and control techniques.
    Type: Grant
    Filed: February 19, 2019
    Date of Patent: December 10, 2019
    Assignee: University of Connecticut
    Inventors: Peng Zhang, Bing Wang, Peter B. Luh, Lingyu Ren, Yanyuan Qin
  • Publication number: 20190182171
    Abstract: Systems and methods for integrating ultra-fast programmable networks in microgrid are disclosed to provide flexible and easy-to-manage communication solutions, thus enabling resilient microgrid operations in face of various cyber and physical disturbances. The system is configured to establish a novel software-defined networking (SDN) based communication architecture which abstracts the network infrastructure from the upper-level applications to significantly expedite the development of microgrid applications, develop three functions of the SDN controller for microgrid emergency operations, including time delay guarantee, failover reconfiguration and rate limit and create a hardware-in-the-loop cyber-physical platform for evaluating and validating the performance of the presented architecture and control techniques.
    Type: Application
    Filed: February 19, 2019
    Publication date: June 13, 2019
    Applicant: University of Connecticut
    Inventors: Peng Zhang, Bing Wang, Peter B. Luh, Lingyu Ren, Yanyuan Qin
  • Patent number: 10257100
    Abstract: Systems and methods for integrating ultra-fast programmable networks in microgrid are disclosed to provide flexible and easy-to-manage communication solutions, thus enabling resilient microgrid operations in face of various cyber and physical disturbances. The system is configured to establish a novel software-defined networking (SDN) based communication architecture which abstracts the network infrastructure from the upper-level applications to significantly expedite the development of microgrid applications, develop three functions of the SDN controller for microgrid emergency operations, including time delay guarantee, failover reconfiguration and rate limit and create a hardware-in-the-loop cyber-physical platform for evaluating and validating the performance of the presented architecture and control techniques.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: April 9, 2019
    Assignee: University of Conneticut
    Inventors: Peng Zhang, Bing Wang, Peter B. Luh, Lingyu Ren, Yanyuan Qin
  • Publication number: 20170324671
    Abstract: Systems and methods for integrating ultra-fast programmable networks in microgrid are disclosed to provide flexible and easy-to-manage communication solutions, thus enabling resilient microgrid operations in face of various cyber and physical disturbances. The system is configured to establish a novel software-defined networking (SDN) based communication architecture which abstracts the network infrastructure from the upper-level applications to significantly expedite the development of microgrid applications, develop three functions of the SDN controller for microgrid emergency operations, including time delay guarantee, failover reconfiguration and rate limit and create a hardware-in-the-loop cyber-physical platform for evaluating and validating the performance of the presented architecture and control techniques.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 9, 2017
    Applicant: University of Connecticut
    Inventors: Peng Zhang, Bing Wang, Peter B. Luh, Lingyu Ren, Yanyuan Qin