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Nuclear reactor containment vessel key parameter rapid prediction system and model construction method

A technology for predicting models and key parameters, applied in electrical digital data processing, instruments, design optimization/simulation, etc., can solve problems such as low analysis efficiency, dependence on solution accuracy, slow solution speed, etc., to achieve the effect of high prediction accuracy

Pending Publication Date: 2022-03-04
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, the above methods generally have the following problems: the solution speed is slow, the analysis efficiency is low, and the solution accuracy depends on the two-phase flow flow heat transfer empirical relationship

Method used

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  • Nuclear reactor containment vessel key parameter rapid prediction system and model construction method
  • Nuclear reactor containment vessel key parameter rapid prediction system and model construction method
  • Nuclear reactor containment vessel key parameter rapid prediction system and model construction method

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Embodiment 1

[0039] The invention is based on the LSTM time-series deep learning model, and performs high-precision rapid prediction and analysis on the transient parameters of the containment in the case of a main steam pipeline rupture MSLB accident of the passive containment cooling system. Specific operation steps such as process figure 1 shown.

[0040] (1) Set the initial input parameters

[0041] Input parameters: initial pressure inside the containment, initial liquid film coverage, cooling water flow rate, and wind speed; as shown in Table 1, the parameters selected during the demonstration implementation process in this embodiment are shown.

[0042] Table 1 Initial input parameters

[0043]

[0044] (2) Use the MSLB transient safety parameter output as the actual value

[0045] (3) Set the working condition data set in this embodiment

[0046] As shown in Table 2, it is the working condition data table set in this embodiment, in which the analysis program takes 1s as the ...

Embodiment 2

[0105] A rapid prediction system for key parameters of containment, including:

[0106] Input parameter acquisition module, where the input parameters include initial pressure in containment, initial liquid film coverage, cooling water flow rate, wind speed, etc.;

[0107] a data processing module, preprocessing the parameter data obtained by the input parameter obtaining module;

[0108] The preprocessing method is to normalize the data;

[0109] Prediction module, input the input parameter data processed by the data processing module into the LSTM rapid prediction model to obtain the predicted value; the LSTM rapid prediction model is the fast prediction model for the containment key parameters constructed in embodiment 1;

[0110] The prediction result verification module compares the predicted value with the actual value, and selects the mean square error (MSE) to evaluate the prediction effect of the model. The result checking module compares the predicted value obtaine...

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Abstract

The invention relates to a construction method for a rapid prediction system and a model for key parameters of a nuclear reactor containment, which are used for accident prediction of a passive containment cooling system, and the method comprises the following steps: initializing containment parameters, and constructing a data set; an LSTM rapid prediction model is constructed, the LSTM rapid prediction model comprises a single-parameter model and a multi-parameter cooperation model, and the single-parameter model and the multi-parameter cooperation model are used for predicting the safety parameter transient state; training the model by using the data set to obtain an optimal LSTM rapid prediction model; and inputting the containment parameters to the optimal LSTM rapid prediction model to predict the safety performance of the containment. The system comprises an input parameter acquisition module, a data processing module, a prediction module and a prediction result inspection module. The result of the invention can provide a rapid prediction intelligent analysis model for sensitivity and uncertainty analysis of key safety parameters of the nuclear reactor containment and system design optimization.

Description

technical field [0001] The invention relates to the field of accident prediction for a passive containment cooling system of a nuclear reactor, in particular to a fast prediction system for key parameters of the containment of a nuclear reactor and a method for constructing a model. Background technique [0002] The main steam line rupture accident MSLB is a typical design basis accident that threatens the integrity of the nuclear reactor containment. In the event of an MSLB accident, the passive containment cooling system PCCS transfers the heat in the containment to the final heat sink through passive natural circulation, which is used to relieve the pressure and temperature caused by the release of mass energy from the breach in the primary circuit of the nuclear reactor under accident conditions. Swell, to ensure the integrity of the nuclear reactor containment and prevent the leakage of radioactive material. In the prior art, the two-phase flow thermal-hydraulic analys...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F119/02G06F119/20
CPCG06F30/27G06F2119/02G06F2119/20
Inventor 郭张鹏冯千懿甘宇赵后剑牛风雷
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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