Nuclear reactor early warning system

Abstract

A nuclear reactor early warning system includes a detection unit which measures various parameters of a nuclear reactor through sensors and detectors, converts the parameters into electrical signals and outputs the electrical signals, an input unit which is connected to a detection device and stores the electrical signals of the detection device into a preprocessing unit, the preprocessing unit which filters data signals, discards some wrong data and then stores the rest data into a critical heat flux database, a calculation unit which calculates corresponding critical heat flux values in realtime according to the measurement data filtered by the preprocessing unit, a self-learning unit which calculates the data in the critical heat flux database and continuously corrects a calculation model according to a principle of minimum error, a feedback unit which returns a result of a self-learning process to the calculation unit, and an output unit which displays a critical heat flux resultobtained by the calculation unit.

Description

technical field [0001] The invention relates to the field of nuclear engineering, in particular to an early warning system for critical heat flux nuclear reactors. Background technique [0002] In order to solve the increasing energy demand of human beings, nuclear energy is being used more and more. When using nuclear energy, safety issues cannot be ignored. Critical Heat Flux (CHF for short) is one of the important limiting parameters to ensure the safety of the heat exchange system. The research on CHF involves multiple disciplines such as nuclear reactor engineering, engineering thermophysics, safety engineering, nonlinear dynamical systems, and non-equilibrium thermodynamics. It is necessary to regard the heat exchange system as a dynamical system, start from the most basic mass-energy transfer relation, focus on its nonlinear characteristics, reveal the law of accident occurrence, and then use artificial intelligence technology to integrate various related factors to...

AI Technical Summary

Problems solved by technology

However, these empirical relations lack the support of physical mechanism models, and their application range is narrow.