Patents by Inventor Takehito YASUI

Takehito YASUI 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: 11914348
    Abstract: A plant operating condition setting support system for supporting the setting of an operating condition of a plant that performs a process formed by devices includes: control devices that subject controlled devices to feedback control respectively; and an operating condition setting support device that provides integrated support for the setting of the control devices, which perform feedback control tasks respectively and independently. The operating condition setting support device includes: a measured value multiple acquisition unit that acquires measured values indicating states of the controlled devices, respectively; and a control device adjustment parameter determination unit that determines, based on the measured values acquired, control device adjustment parameters used by each of the control devices to determine manipulation variables for control that should be input to the controlled devices, according to a policy learned by deep reinforcement learning.
    Type: Grant
    Filed: November 4, 2020
    Date of Patent: February 27, 2024
    Assignees: CHIYODA CORPORATION, GRIDINC
    Inventors: Takehito Yasui, Shizuka Ikawa, Akifumi Toki, Masaru Sogabe, Yusuke Suwa
  • Patent number: 11665193
    Abstract: A plant management method includes: acquiring correlation information indicating a correlation between a component subjected to a cyberattack and a component to be possibly affected by the cyberattack when a plant including a plurality of components is subjected to the cyberattack; and zoning the plurality of components on the basis of the correlation information.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: May 30, 2023
    Assignee: CHIYODA CORPORATION
    Inventors: Shizuka Ikawa, Takehito Yasui, Kazuya Furuichi, Yuki Hamada
  • Publication number: 20220221850
    Abstract: A plant management method includes: acquiring correlation information indicating a correlation between a component subjected to a cyberattack and a component to be possibly affected by the cyberattack when a plant including a plurality of components is subjected to the cyberattack; and zoning the plurality of components on the basis of the correlation information.
    Type: Application
    Filed: March 31, 2022
    Publication date: July 14, 2022
    Inventors: Shizuka IKAWA, Takehito YASUI, Kazuya FURUICHI, Yuki HAMADA
  • Patent number: 11320811
    Abstract: A plant operating condition setting support system for supporting the setting of a plant operating condition includes: a learning device that learns a regression model for calculating, from values of a plurality of state parameters indicating an operating condition of a plant and values of a plurality of manipulation parameters set to control an operation of the plant, a predicted value of an output indicating a result of operating the plant when the values of the plurality of manipulation parameters are set in the operating condition indicated by the values of the plurality of state parameters; and an operating condition setting support device that calculates the values of the plurality of manipulation parameters that should be set to control the operation of the plant, by using the regression model learned by the learning device.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: May 3, 2022
    Assignee: CHIYODA CORPORATION
    Inventors: Yoshihiro Yamaguchi, Takehito Yasui, Toshiya Momose
  • Publication number: 20210055712
    Abstract: A plant operating condition setting support system for supporting the setting of an operating condition of a plant that performs a process formed by devices includes: control devices that subject controlled devices to feedback control respectively; and an operating condition setting support device that provides integrated support for the setting of the control devices, which perform feedback control tasks respectively and independently. The operating condition setting support device includes: a measured value multiple acquisition unit that acquires measured values indicating states of the controlled devices, respectively; and a control device adjustment parameter determination unit that determines, based on the measured values acquired, control device adjustment parameters used by each of the control devices to determine manipulation variables for control that should be input to the controlled devices, according to a policy learned by deep reinforcement learning.
    Type: Application
    Filed: November 4, 2020
    Publication date: February 25, 2021
    Inventors: Takehito YASUI, Shizuka IKAWA, Akifumi TOKI, Masaru SOGABE, Yusuke SUWA
  • Publication number: 20200379452
    Abstract: A plant operating condition setting support system for supporting the setting of a plant operating condition includes: a learning device that learns a regression model for calculating, from values of a plurality of state parameters indicating an operating condition of a plant and values of a plurality of manipulation parameters set to control an operation of the plant, a predicted value of an output indicating a result of operating the plant when the values of the plurality of manipulation parameters are set in the operating condition indicated by the values of the plurality of state parameters; and an operating condition setting support device that calculates the values of the plurality of manipulation parameters that should be set to control the operation of the plant, by using the regression model learned by the learning device.
    Type: Application
    Filed: August 17, 2020
    Publication date: December 3, 2020
    Inventors: Yoshihiro YAMAGUCHI, Takehito YASUI, Toshiya MOMOSE