Chiyoda Corporation

Kazuya Furuichi

Shizuka Ikawa

Yuki Hamada

Kenichi Mimura

Takehito Yasui

Motoki Irikura

Nobuhiro Kakuta

Junichiro Kaji

Akihito Ikarashi

Eisuke Oki

Tatsuro Hori

Ryo Nakayama

An operation condition setting support device supporting setting of an operation condition of a plant includes a state value acquirer acquiring state values representing states of controlled devices during operation of the controlled devices, a predictor estimating predicted values for the respective state values at a predetermined future time point based on the respective state values acquired by the state value acquirer, and a notifier, in a case where an index calculated based on a difference between each of the state values at the predetermined time point acquired by the state value acquirer and each of the predicted values at the predetermined time point or a later time point than the predetermined time point estimated by the predictor or a change ratio of the difference satisfies a predetermined condition, providing notification of the case.

Assistance device, learning device, and plant operation condition setting assistance system

A fluid state estimation system includes: a learning device that learns an estimation model for estimating a state of a fluid in at least any one of an inside of a component of a plant, an outside of the component of the plant and an inside of a building of the plant, an outside of the building of the plant and an inside of a site of the plant, and a periphery of an outside of the site of the plant; and an estimation device that estimates a state of a fluid using the estimation model learned by the learning device. The estimation model gets a value of an input variable, and outputs a value of fluid state information representing a state of a fluid.

Fluid state estimation system, learning device, learning program, estimation device, and estimation program

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.

Method for managing plant, plant design device, and plant management device

A plant management system includes: a control device; and a management device. The control device includes: a manipulation parameter setting unit that sets values of manipulation parameters; a state parameter acquisition unit that acquires values of state parameters indicating an operating condition of the plant; and a transmitter that transmits these values to the management device. The management device includes: an acquisition unit that acquires these values; a database that stores set values of manipulation parameters and actually measured values or predicted values of state parameters when the plant is operated based on the set values, corresponding to each other; and a determination unit that determines a set value of a manipulation parameter capable of improving a value of a predetermined state parameter of the plant by referring to these values and the database.

Plant management system and management device

An inspection support system comprising: determination devices that determine pass or fail based on a result of non-destructive inspection of the object; and a learning device that learns a determination algorithm used to determine pass or fail based on information collected from the determination devices. The determination device transmits an ultimate determination result yielded by an inspection person who has checked a determination result to the learning device along with the corresponding result of non-destructive inspection of the object. The learning device includes: a determination result reception unit that receives the ultimate determination result and the result of non-destructive inspection of the inspection object; a learning unit that learns the determination algorithm based on received information; and a provision unit that provides the learned determination algorithm to the determination devices.

Growing community of inventors

Yokohama, Japan

Kazuya Furuichi