Design and Implementation of Reactivity Assisted Decision Support System
In order to achieve real-time online monitoring of detailed power distribution,and physical,thermal and other safety parameters in the three-dimensional space of the reactor,a dynamic data-driven model based on reactivity tracking and prediction has been jointly developed by Nuclear Power Institute of China and Hainan Nuclear Power Co.,Ltd.The reactivity assisted decision support system,known as RAINBOW-PET,has been developed.This article studies the design and implementation of the reactivity assisted decision support system,including the overall system architecture design,database scheme,multi-task support,reliability design,etc.Base on this,the coding implementation of the reactivity assisted decision support system has been completed.Currently,the system has been successfully applied to online monitoring of Unit 1&2 Changjiang NPP,providing reference for core control by reactor operators.
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