Reactor three-dimensional power probability distribution monitoring method based on information fusion theory

A technology of three-dimensional power and probability distribution, which is applied in nuclear reactor monitoring, reactor, probability network, etc., can solve the problems that cannot be measured, it is difficult to expand the random position of the whole reactor, and the uncertainty of fuel consumption distribution, etc., to achieve high reliability, informative effect

Pending Publication Date: 2021-03-16
SOUTH CHINA UNIV OF TECH
View PDF13 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

From an information-theoretic point of view, only power distribution reconstruction via MID or FID constitutes a lack of information utilization
[0008] (2) Unable to determine the power uncertainty of any point in space
MID/FID can effectively estimate the current power distribution state, but this is only a single "best guess" that may appear, but it cannot be expressed as information in the probability space from the perspective of probability
Moreover, the uncertainty evaluation of the existing technology for the peak factor is difficult to extend to any position of the whole stack
Furthermore, the uncertainty of the fuel consumption distribution accumulate

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Reactor three-dimensional power probability distribution monitoring method based on information fusion theory
  • Reactor three-dimensional power probability distribution monitoring method based on information fusion theory
  • Reactor three-dimensional power probability distribution monitoring method based on information fusion theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0063] Step 1: Measurement information uncertainty assessment.

[0064] The influence weight w of the detector on the power value i determines the power value. while w i The precision part of is related to the uncertainty assessment of the measurement information of all detectors. For this purpose, a quantitative evaluation of the uncertainty of each position detector of each type is required. The final uncertainty of the power value is also related to the uncertainty of the information of each detector, for which the uncertainty of each detector also needs to be evaluated.

[0065] A...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a reactor three-dimensional power probability distribution monitoring method based on an information fusion theory. The reactor three-dimensional power probability distributionmonitoring method comprises the following steps: evaluating uncertainty of measurement information; determining adopted detector information based on the monitored dynamic or steady-state requirements; estimating a reactor power distribution state based on a Bayesian method; performing probability estimation of reactor core burn-up distribution; updating the probability of reactor core burnup distribution, and estimating the performance of the fuel rod in real time. According to the method, a detection information fusion method with different angles and different precisions is explored, basedon the Bayesian framework, information loss is reduced as much as possible, the matching problem of different angles and different precision measurements is solved, spatial distribution information with higher precision is obtained, probability distribution of power values of any point in a reactor core space is provided, and the probability distribution of the burnup value of any space point in the reactor core is further provided.

Description

technical field [0001] The invention belongs to the field of nuclear reactor operation monitoring, in particular to a reactor three-dimensional power probability distribution monitoring method based on information fusion theory. Background technique [0002] The core of reactor core condition monitoring is reactivity and power distribution monitoring. Changes in reactivity manifest as changes in overall power levels to reflect criticality safety. The change of spatial power distribution is one of the main causes of thermal safety problems. Various sensor systems are usually deployed to measure the core power distribution, including: (1) Zhang Hong proposed in "Daya Bay Nuclear Power Plant Core Power Distribution Measurement and Processing [D]" (Nuclear Science and Engineering. 1997 (17)) And the core movable detector system (MID), through the transmission device, the detectors usually arranged outside the reactor are moved into the reactor for measurement and then removed ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G21C17/10G06K9/62G06N7/00
CPCG21C17/10G06N7/01G06F18/251Y02E30/30
Inventor 蔡杰进李文淮
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products