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公开(公告)号:US11342089B2
公开(公告)日:2022-05-24
申请号:US17024208
申请日:2020-09-17
发明人: Hideyuki Hosokawa , Tsuyoshi Ito , Hiroko Sukeda , Mayu Sasaki , Naoshi Usui
IPC分类号: G21D3/00 , G06N20/00 , G21C17/10 , G21D3/10 , G21C15/28 , G21C1/02 , G21C1/08 , G21C5/12 , G21C17/022
摘要: A reactor water radioactivity concentration of a nuclear power plant can be predicted with high accuracy. First, a plant state quantity prediction value is calculated by using a physical model that describes plant state quantities of the power plant including a flow rate of feedwater and a metal corrosion product concentration in feedwater of the reactor water is calculated. Next, data for supervised learning is created, and the data for supervised learning includes the previously calculated plant state quantity prediction value and a plant state quantity such as the flow rate of feedwater, the metal corrosion product concentration in feedwater, a metal corrosion product concentration in reactor water, and a radioactive metal corrosion concentration of the reactor water in the reactor as input data and includes a radioactive metal corrosion concentration in the reactor water which is an actual measured value as output data, and a predictive model is trained.
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公开(公告)号:US11942228B2
公开(公告)日:2024-03-26
申请号:US17082057
申请日:2020-10-28
发明人: Hiroko Sukeda , Naoshi Usui , Mayu Sasaki , Hideyuki Hosokawa , Tsuyoshi Ito
IPC分类号: G21C17/022 , G01N33/18 , G21D3/00
CPC分类号: G21C17/022 , G01N33/18 , G21D3/001
摘要: More accurate prediction of reactor water quality of a nuclear reactor is implemented. A device for prediction of reactor water quality of a nuclear reactor in a nuclear power plant is disclosed. The device stores a reactor water quality prediction model which is learned using learning data, and with which future reactor water quality is predicted. An explanatory variable of the reactor water quality prediction model includes a value in a predetermined period unit that is generated from data acquired in an operating nuclear power plant. The device generates the value in a predetermined period unit from data acquired in a target operating nuclear power plant, and acquires a predicted value of the reactor water quality in the target nuclear power plant based on the reactor water quality prediction model and the value in a predetermined period unit.
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