Mitsubishi Heavy Industries Limited

Takae Yamashita

Kenji Mashio

Susumu Shiizuka

Takashi Azuma

Jun Shibuya

Masafumi Utsumi

Junichi Nishitani

Yusuke Yamada

Eisuke Noda

Satoshi Hanada

Mizuki Kasamatsu

A condition determination system includes: an operation condition data obtaining unit that obtains operation condition data indicating an operation condition of a facility; and a determination unit that determines, based on the operation condition data, a level of a phenomenon that occurs due to the operation condition of the facility.

Condition determination system, condition determination method, decision-making support system, computer program, and storage medium

A plant assistance assessment systemthat assesses a plurality of nuclear power generation plantsincludes an abnormality sign monitoring systemthat monitors an abnormality sign in a plant, based on plant data of the nuclear power generation plants; a fault diagnosis systemthat performs fault diagnosis on each of devices in the plants, based on abnormality sign detection information; a progress prediction systemthat simulates progress of the plants, based on fault information; an abnormal phenomenon specification systemthat specifies a potential abnormal phenomenon in the plants, based on progress prediction information; a risk assessment systemthat assesses a risk of a fault in the devices in the plants in a probabilistic manner; and an abnormal phenomenon assessment systemthat assesses likelihood of occurrence of an abnormal phenomenon, based on abnormal phenomenon information and fault probability information.

Plant assistance assessment system and plant assistance assessment method

This abnormality diagnosis system for diagnosing abnormalities in a plant is provided with: an abnormality diagnosis control unit which, with respect to an instrument parameter measured in a plant determined to have an indication of abnormality, predicts the development of the instrument parameter by extrapolation, and which generates an abnormality manifestation pattern that is a pattern of behavior of the instrument parameter after prediction; and a data storage unit which stores a plurality of abnormality model patterns PA, PB that are patterns of behavior of the instrument parameters corresponding to causes CA, CA, CB, CBof plant abnormality. The abnormality diagnosis control unit makes a matching determination between the abnormality manifestation pattern that has been generated and the plurality of abnormality model patterns PA, PB stored in the data storage unit, and identifies, as the cause of the abnormality in the abnormality manifestation pattern.

Abnormality diagnosis system and abnormality diagnosis method

A plant maintenance assisting system is provided with: an abnormality indication monitoring system; an abnormality diagnosis system; a maintenance plan creation system; a risk evaluation system; and a component management system. On the basis of risk information and abnormality diagnosis information that is a result of diagnosis by the abnormality diagnosis system, the risk evaluation system determines the need for maintenance work with respect to an abnormality indicating facility. In a case where it is determined that maintenance work with respect to the abnormality indicating facility is necessary, the maintenance plan creation system sets, in a maintenance plan, maintenance implementation timing of maintenance work with respect to a facility including the abnormality indicating facility. On the basis of component management information, the component management system determines whether a component can be procured at the maintenance implementation timing set by the maintenance plan creation system.

Plant maintenance assisting system

Among a plurality of sensors that detect a state of a control subject, a relationship fluctuation level between a magnitude of a signal output by a subject sensor and a magnitude of a signal output by another related sensor is calculated for each subject sensor and related sensor combination. Moreover, the subject sensor and related sensor combinations for which a value of the relationship fluctuation level is a predetermined value or more are identified, and a respective number of appearances of the subject sensor and the related sensor included in the identified combinations thereof is calculated.

Anomaly monitoring device and method for producing anomaly signs according to combinations of sensors based on relationship of sensor fluctuations

An abnormality diagnosis system for diagnosing an abnormality event in an atomic power generation plant on the basis of an abnormality indication detection result from an abnormality indication monitoring system is provided with an abnormality diagnosis control unit which acquires a parameter transition in a monitoring period from a non-detection timing to an indication detection timing, and a parameter contribution in the monitoring period and a database. The abnormality diagnosis control unit executes a matching determination between the parameter transition and parameter contribution that have been acquired from the abnormality indication monitoring system, and a parameter transition for determination and a parameter contribution for determination that have been stored in the database, and identifies an abnormality event and an abnormality indication facility that are associated with the parameter transition and parameter contribution determined to be matching.

Abnormality diagnosis system

An atomic power plant operation system for assisting the operation of an atomic power generation plant is provided with: an operation monitoring system which monitors and controls the operation of the atomic power generation plant; an abnormality indication monitoring system which, on the basis of an operation history of the atomic power generation plant, monitors an indication of abnormality in the atomic power generation plant; an abnormality diagnosis system which, on the basis of a result of abnormality indication that has been detected, makes an abnormality diagnosis for the atomic power generation plant; and a maintenance system for performing maintenance and management of the atomic power generation plant, wherein the systems are communicably connected, and the abnormality diagnosis system provides the maintenance system with the result of the abnormality diagnosis of the atomic power generation plant.

Plant operation system and plant operation method

A plant abnormality predict detection system for detectably monitoring an indication of abnormality in an atomic power generation plant is provided with: a data storage unit which stores plant operation data including an instrument parameter measured in the atomic power generation plant; and a monitoring and control unit which, on the basis of the plant operation data, detects an indication of abnormality in the atomic power generation plant, wherein the atomic power generation plant performs a base-load operation so that the instrument parameter has a prescribed target value, and wherein the monitoring and control unit, on the basis of past plant operation data, sets a normal range W that is a range in which the instrument parameter at the current time transitions normally, and detects an indication of abnormality when the instrument parameter at the current time exceeds the normal range W that has been set.

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Tokyo, Japan

Takae Yamashita