CN117150796A - Correction method and device for grid effect of fuel assembly and computer equipment - Google Patents

Correction method and device for grid effect of fuel assembly and computer equipment Download PDF

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CN117150796A
CN117150796A CN202311163943.1A CN202311163943A CN117150796A CN 117150796 A CN117150796 A CN 117150796A CN 202311163943 A CN202311163943 A CN 202311163943A CN 117150796 A CN117150796 A CN 117150796A
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information
grid effect
fuel assembly
power
grid
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何明涛
孔畅
段蓉
李学仲
林俊
李志军
王鑫
杨镕瑞
位金锋
赵常有
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China Nuclear Power Technology Research Institute Co Ltd
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Abstract

The application relates to a method, a device, a computer device, a storage medium and a computer program product for correcting the grid effect of a fuel assembly. The method comprises the following steps: according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect; predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information; and correcting the theoretical power distribution information according to the actual grid effect information. By adopting the method, the correction efficiency of the power distribution information can be improved.

Description

Correction method and device for grid effect of fuel assembly and computer equipment
Technical Field
The present application relates to the field of reactor core design and safety, and in particular to a method, apparatus, computer device, storage medium and computer program product for correcting the grid effect of a fuel assembly.
Background
The fuel assembly is a source of heat generation in the reactor core, and the fuel assembly grid effect is a common phenomenon in the reactor core, which is a neutron moderation effect caused by the fuel assembly grid absorbing neutrons, which can result in some reduction in neutron flux density and power near the grid location. This effect can affect the axial power distribution of the fuel assemblies and fuel rods and the hot spot factor of the core, and the accuracy of evaluation of this effect can affect the operating margin and safety margin of the core.
With the development of reactor core design technology, online correction technology of fuel assembly grid effect is presented, and the correction technology of fuel assembly grid effect aims at correcting neutron concave effect caused by neutron absorption of fuel assembly grid. At present, a treatment method for the problem generally models the grid position and the non-grid position respectively, and then calculates the neutron concave effect of the whole reactor core.
However, since the grid effect correction model obtained by modeling the entire reactor core is complex, the calculation complexity is high when the grid effect correction model is used for performing subsequent calculation and analysis, and thus the efficiency of grid effect correction is affected.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a correction method, apparatus, computer device, storage medium, and computer program product that can improve the efficiency of correction of the grid effect of a fuel assembly.
In a first aspect, the present application provides a method of modifying the grid effect of a fuel assembly. The method comprises the following steps:
according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component;
determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect;
predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information;
and correcting the theoretical power distribution information according to the actual grid effect information.
In one embodiment, obtaining the grid effect measurement information includes:
acquiring historical measurement power information of the fuel assembly; positioning a region where the grid effect occurs in the fuel assembly according to the historical measurement power information to obtain the position information of the region where the grid effect occurs; fitting target power information of a region of the fuel assembly, in which a grid effect occurs, when the region is not affected by the grid effect according to the region position information and the historical measured power information; and generating the grid effect measurement information according to the historical measurement power information, the target power information and the regional position information.
In one embodiment, the historical measured power information includes a plurality of historical power measurements; the step of locating the area where the grid effect occurs on the fuel assembly according to the historical measurement power information of the fuel assembly to obtain the position information of the area where the grid effect occurs, comprising the following steps:
determining power change information corresponding to the historical measurement power information according to the difference value between the historical power measurement values of the adjacent measurement points; selecting a plurality of first change rates at the positions of the fuel assembly grids from the power change information, and selecting a second change rate meeting a preset change rate condition from the plurality of first change rates; screening each target change rate from the power change information according to the second change rate, and taking the measuring point corresponding to each target change rate as a target measuring point with a grid effect; and positioning the position information of the area where the grid effect occurs according to the position information of each target measuring point.
In one embodiment, said fitting the target power information of the area of the fuel assembly where the grid effect occurs when not affected by the grid effect based on the area position information and the historical measured power information comprises:
Acquiring standard power information when the fuel assembly area positioned by the area position information is not influenced by the grid effect; removing power information corresponding to the regional position information in the historical measurement power information to obtain first historical measurement power information; and fitting interpolation is carried out on the first historical measurement power information according to the standard power information, so that target power information of the area of the fuel assembly, which is subjected to the grid effect, is obtained when the area is not influenced by the grid effect.
In one embodiment, the determining the grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information includes:
acquiring intrinsic orthogonal expansion data, wherein the intrinsic orthogonal expansion data is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, and the grid effect characteristics are obtained by carrying out characteristic construction on the grid effect measurement information; and fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain the grid effect fitting information.
In one embodiment, the predicting the actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information includes:
Acquiring an expansion coefficient and an intrinsic orthogonal base, wherein the intrinsic orthogonal base is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, the grid effect characteristics are obtained by carrying out characteristic construction on grid effect measurement information, and the expansion coefficient is obtained by carrying out fitting on the grid effect fitting information and the fuel assembly state parameters; and predicting the actual grid effect information corresponding to the fuel assembly by fusing the expansion coefficient and the intrinsic orthogonal base.
In a second aspect, the application also provides a fuel assembly grid effect correction device. The device comprises:
the information acquisition module is used for acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel assembly according to the assembly type information of the fuel assembly;
the information fitting module is used for determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect;
the grid effect prediction module is used for predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information;
And the power correction module is used for correcting the theoretical power distribution information according to the actual grid effect information of the actual grid effect information.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect; predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information; and correcting the theoretical power distribution information according to the actual grid effect information.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
According to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect; predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information; and correcting the theoretical power distribution information according to the actual grid effect information.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect; predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information; and correcting the theoretical power distribution information according to the actual grid effect information.
The correction method, the correction device, the computer equipment, the storage medium and the computer program product of the grid effect of the fuel assembly acquire theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel assembly according to the assembly type information of the fuel assembly; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect; according to the grid effect fitting information and the grid effect measurement information, predicting the actual grid effect information corresponding to the fuel assembly, wherein the predicted actual grid effect information is extracted by taking the fuel assembly as a unit instead of directly modeling the whole reactor core, so that the model is greatly simplified, and the complexity of the model is greatly reduced; therefore, the theoretical power distribution information is corrected according to the actual grid effect information, and correction efficiency can be improved.
Drawings
FIG. 1 is a flow chart of a method of correcting for fuel assembly grid effects in one embodiment;
FIG. 2 is a flow chart of obtaining grid effect measurement information in one embodiment;
FIG. 3 is a flowchart of another embodiment for obtaining location information of a region where a trellis effect occurs;
FIG. 4 is a block diagram of a fuel assembly grid effect correction device in one embodiment;
fig. 5 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In one embodiment, as shown in fig. 1, a method for correcting a grid effect of a fuel assembly is provided, and the embodiment is exemplified by applying the method to a server, it is understood that the method can also be applied to a terminal, and can also be applied to a system including the terminal and the server, and is implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
step 202, according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component.
The module type information is classified according to the module enrichment degree and the quantity and the type of burnable poison in the module, and the theoretical power distribution information is used for representing the power distribution information of the fuel module without grid effect; the fuel assembly status parameters may include fuel assembly burnup, axial power offset, and relative power, wherein burnup characterizes a degree of consumption of the fuel assembly; axial power offset is the shape factor of the axial neutron flux density or axial power distribution; the relative power is the ratio of the fuel assembly power to the average power of all assemblies. It should be noted that the state parameter corresponding to the theoretical power of the fuel assembly is different from the state parameter value at which the measured value is located.
In addition, the grid effect measurement information is used for reflecting the degree of the grid effect in the actual power measurement process, and the grid effect is a neutron recess effect caused by neutron absorption of the fuel assembly grid, so that the neutron flux density and the power at the grid position are reduced to a certain extent, and the effect can influence the axial power distribution of the fuel assembly and the hot spot factor of the reactor core.
As one example, obtaining the grid effect measurement information includes:
According to the component type information of the fuel component, acquiring historical measurement power information of the fuel component and standard power information of a grid effect occurrence area when the grid effect is not influenced; and comparing the historical measurement power information with the standard power information to obtain grid effect measurement information.
Step 204, determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect.
As an example, step 204 includes:
performing characteristic construction according to the grid effect measurement information to construct grid effect characteristics; carrying out intrinsic orthogonal decomposition on the lattice effect characteristics to obtain intrinsic orthogonal expansion data; and fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain grid effect fitting information.
And step 206, predicting the actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information.
The grid effect measurement information only contains a small amount of results in discrete states due to the limitation of measurement and the influence of the actual environment, so that the grid effect information in the actual state needs to be obtained according to the grid effect measurement information and the fuel assembly state parameters of the fuel assembly, and the actual grid effect information can more accurately embody the actual grid effect generated by the fuel assembly in the production activity.
As an example, step 206 includes:
carrying out intrinsic orthogonal decomposition on the lattice effect characteristics to obtain an intrinsic orthogonal base; and fusing the expansion coefficients of the intrinsic orthogonal base and the lattice effect fitting information to obtain actual lattice effect information, wherein the lattice effect characteristics are obtained by carrying out characteristic construction based on lattice effect measurement information.
As an example, the manner of fusion may be superposition.
And step 208, correcting the theoretical power distribution information according to the actual grid effect information.
The corrected theoretical power distribution information can be power distribution reference information of reactor core design or operation, and the reactor core is designed or the reactor core operation is expanded according to the power distribution reference information, so that more accurate reactor core operation margin and safety margin can be obtained.
As an example, correcting the theoretical power distribution information based on the actual grid effect information includes:
integrating theoretical power distribution information of the fuel assembly to obtain an integration result; and correcting the integration result by using the actual grid effect information.
As an example, the specific procedure for correcting the theoretical power distribution information according to the actual grid effect information is as follows:
P″(m,n)＝C×P′(m,n)×f′(n)，
Wherein P "(m, n) is the corrected theoretical power information distribution, f '(n) is the actual grid effect information, P' (m, n) is an integration result obtained by integrating the theoretical power distribution P (m, i) of the mth fuel assembly in the core, i=1, 2, 3..n, wherein n represents the number of core axial segments of the mth fuel assembly, and C is a constant for ensuring the power integration value before and after correction, specifically as follows:
according to the correction method of the grid effect of the fuel assembly, the theoretical power distribution information, the state parameters and the grid effect measurement information corresponding to the fuel assembly are obtained according to the assembly type information of the fuel assembly; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameters and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameters on the grid effect; according to the grid effect fitting information and the grid effect measuring information, the actual grid effect information corresponding to the fuel assembly is predicted, so that the modeling process does not need to be additionally modified for predicting the actual grid effect information, and the complexity of the model is greatly reduced; therefore, according to the actual grid effect information predicted by the embodiment, the theoretical power distribution information is corrected, so that the correction efficiency can be improved.
In one embodiment, as shown in FIG. 2, obtaining the grid effect measurement information includes:
step 302, historical measured power information for a fuel assembly is obtained.
Wherein the historically measured power information is power information measured over a period of time. The history measurement power information may be the history measurement power information of the fuel assembly that is subjected to the theoretical power distribution information correction this time, or may be the history measurement power information of another fuel assembly of the same type as the fuel assembly that is subjected to the theoretical power distribution information correction this time.
And step 304, positioning the area where the grid effect occurs of the fuel assembly according to the historical measurement power information, and obtaining the position information of the area where the grid effect occurs.
The area position information is the position information of the actual area where the grid effect occurs in the fuel assembly in the production activity, and can be, for example, position coordinates or vertical heights. It should be noted that the area where the grid effect occurs, while being closely related to the location area where the fuel assembly grid is located, is typically different from the location area where the grid is located in the fuel assembly.
As an example, the area where the lattice effect occurs may include a location area where the lattice in the fuel assembly is located, for example, a height of the location area where the lattice in the fuel assembly is located is in a range of 3.50 to 3.55 meters, and the area where the lattice effect occurs may be 3.40 to 3.60 meters.
Step 306, fitting target power information of the fuel assembly in the area where the grid effect occurs when the fuel assembly is not affected by the grid effect according to the area position information and the historical measured power information.
The target power information may be power information of the area located by the area location information without being affected by the trellis effect.
As an example, according to the region position information, standard power information of a region where the grid effect of the fuel assembly occurs is selected from the theoretical power distribution information when the region is not influenced by the grid effect, and according to the standard power information, the historical measurement power information is interpolated to obtain target power information.
Step 308, generating grid effect measurement information according to the historical measurement power information, the target power information and the regional position information.
Wherein, since the extraction of the grid effect information is carried out by taking the fuel assembly as a unit, the corresponding grid effect measurement information can be generated for a single fuel assembly.
As an example, the specific procedure for generating the grid effect measurement information from the historical measurement power information, the target power information, and the region position information is as follows:
wherein A (i) is historical measurement power information, i beg To initiate the position of the area where the lattice effect occurs, i end In order to generate the end position of the grid effect region, a' (i) is target power information, and f (i) is grid effect measurement information.
In this embodiment, by acquiring historical measured power information of the fuel assembly; according to the historical measurement power information, positioning a region of the fuel assembly where the grid effect occurs, and obtaining the position information of the region where the grid effect occurs; fitting target power information of a region of the fuel assembly, which is subjected to the grid effect, when the region is not influenced by the grid effect according to the region position information and the historical measured power information; generating grid effect measurement information according to the historical measurement power information, the target power information and the region position information, wherein the historical measurement power information is utilized in the generation of the grid effect measurement information, so that the grid effect measurement information generated by the embodiment has higher accuracy compared with the grid effect measurement information generated completely by means of a model and theoretical knowledge; in addition, in this embodiment, all the information is taken from the same type of fuel assembly, and the grid effect measurement information can be directly multiplexed for the subsequent power correction of the same type of fuel assembly, so that the correction efficiency of the theoretical power distribution information is improved.
In one embodiment, as shown in FIG. 3, the historical measured power information includes a plurality of historical power measurements; locating an area on the fuel assembly where the lattice effect occurs according to the historical measured power information of the fuel assembly to obtain the position information of the area where the lattice effect occurs, comprising:
step 402, determining power variation information corresponding to the historical measurement power information according to the difference between the historical power measurement values of the adjacent measurement points.
The power change information is information reflecting the power change condition of the distance scale of the historical measurement power information, and is the difference value of the historical power measurement values of the adjacent measuring points.
As an example, when the difference between the historical power measurements of adjacent measurement points is negative, then this indicates that the power values at the adjacent measurement points collapse, i.e., a trellis effect may exist.
As an example, the historical power measurements may be equidistant, where the historical power measurement at the i-th station is a (i), i=1, 2, 3..n, and the power change information dA (i+1/2) is calculated as follows:
dA(i+1/2)＝A(i+1)-A(i)
step 404, selecting a plurality of first rates of change at the fuel assembly grid location from the power change information, and selecting a second rate of change from the plurality of first rates of change that meets a preset rate of change condition.
The preset change rate condition is a change rate condition of a preset number of measuring points at the grid position.
As one example, the preset rate of change condition is the most negative rate of change for a preset number of points at the grid location. For example, 10 pieces of power change information at the grid positions are selected as first change rates, and then the smallest first change rate is selected from the 10 first change rates as second change rate, and the second change rate is the most negative first change rate.
As one example, the preset rate of change condition is an average rate of change of a preset number of points at the grid location. For example, 14 pieces of power change information at the grid position are selected as the first change rates, an average value of the 14 first change rates is calculated, the average value is used as the second change rate, and the second change rate is the average value of the first change rates.
Step 406, screening each target change rate from the power change information according to the second change rate, and taking the measurement point corresponding to each target change rate as the target measurement point with the grid effect.
As an example, step 406 includes: and traversing the power change information according to the screening conditions constructed by the second change rate, screening out the power change information meeting the screening conditions, obtaining a plurality of target change rates, and finding out corresponding power measurement points according to each target change rate to serve as target measurement points with grid effect.
As an example, the screening conditions constructed are as follows:
dA(i+1/2)≤c·dA(0),i＝1,2,...,n，
wherein dA (i+1/2) is power change information, dA (0) is a second change rate, c is a constant, and n represents that the current historical measurement power information comprises n historical power measurement values.
Step 408, locating the position information of the area where the grid effect occurs according to the position information of each target measurement point.
The target measuring points are measuring points with the grid effect, and the position areas formed by all the target measuring points are areas with the grid effect.
In the above embodiment, according to the difference between the historical power measurement values of the adjacent measurement points, the power change information corresponding to the historical measurement power information is determined; selecting a plurality of first change rates at the positions of the fuel assembly grids from the power change information, and selecting a second change rate meeting the preset change rate condition from the plurality of first change rates; screening each target change rate from the power change information according to the second change rate, and taking the measuring point corresponding to each target change rate as a target measuring point with a grid effect; and positioning the position information of the area where the grid effect occurs according to the position information of each target measuring point. By adopting the method of the embodiment, modeling can be performed more specifically, and the complexity of the model is reduced, so that the theoretical power distribution information correction efficiency of the fuel assembly is improved.
In one embodiment, fitting target power information for a region of the fuel assembly where the grid effect occurs when unaffected by the grid effect based on the region location information and the historical measured power information comprises:
acquiring standard power information when the fuel assembly area positioned by the area position information is not influenced by the grid effect; removing power information corresponding to the regional position information in the historical measurement power information to obtain first historical measurement power information; and fitting interpolation is carried out on the first historical measurement power information according to the standard power information, so that target power information of the area of the fuel assembly, which is subjected to the grid effect, is obtained when the area is not influenced by the grid effect.
The interpolation mode depends on the selection of measurement points and can be equidistant interpolation; the target power information is power distribution information obtained by interpolating the history measurement power information, and the target power information of the grid area where no information occurs is the same as the history measurement power information.
As an example, the obtained historical measured power information is a (i), i=1, 2, 3..n, where n represents that the current historical measured power information includes power measurements at n different locations, and the starting location of the area where the trellis effect occurs is i beg The end position is i end Measurement results in i beg -1 to i end Between +1, the power measurement B (i), i=i, independent of the trellis effect beg -1,2,...,i end +1, then removing the historical measured power information a (i), i=1, 2, 3..n at i beg -1 to i end The measurement information between +1 obtains the first historical measurement power information, according to B (i) and the first historical measurement power information, obtain the target power information A' (i) through spline fitting, interpolation, i=i beg ,...,i end 。
In this embodiment, by acquiring power information when the region position information region is not affected by the trellis effect; removing power information in the regional position information in the historical measurement power information to obtain first historical measurement power information; fitting interpolation is carried out on the first historical measurement power information according to the power measurement information when the position information of the area is not affected by the grid effect, so that target power information of the area of the fuel assembly, which is not affected by the grid effect, is obtained, fitting and interpolation are carried out according to the historical measurement power information, the obtained target power information is more accurate, more accurate grid effect measurement information is facilitated to be obtained, and more accurate correction of the power of the fuel assembly is facilitated.
In one embodiment, determining the corresponding grid effect fit information for the fuel assembly based on the fuel assembly status parameter and the grid effect measurement information includes:
Acquiring intrinsic orthogonal expansion data, wherein the intrinsic orthogonal expansion data is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, and the grid effect characteristics are obtained by carrying out characteristic construction on grid effect measurement information; and fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain grid effect fitting information.
As an example, a trellis effect feature matrix is constructed from a plurality of sets of trellis effect information for historically measured power; performing orthogonal decomposition on the lattice effect feature matrix to obtain intrinsic orthogonal expansion data; and fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain grid effect fitting information.
As one example, constructing a trellis effect feature matrix from a plurality of sets of trellis effect information for historically measured power, comprising:
acquiring multiple sets of historical measurement power information, wherein each set of historical measurement power information comprises multiple historical power measurement values; obtaining grid effect information from each set of historical measurement power information, and obtaining a plurality of groups of values, wherein each group of values is constructed into a column vector to obtain a plurality of column vectors; and constructing a grid effect characteristic matrix according to the plurality of column vectors.
As an example, the specific process of fusing the fuel assembly state parameters and the intrinsic quadrature spread data to obtain the grid effect fit information may be:
g k (BU，AO)＝a 1 ·BU+a 2 ·BU 2 +a 3 ·AO+a 4 ·AO 2 +a 5 ·BU·AO，
the method can also be as follows:
g k (BU，AO，Pr)＝a 1 ·BU·Pr+a 2 ·BU 2 +a 3 ·AO·Pr+a 4 ·AO 2 +a 5 ·BU·AO，
wherein BU is the fuel assembly burn up, AO is the fuel assembly axial power offset, pr is the relative power, g k Fitting information for lattice effect, a 1 -a 5 Fitting coefficients obtained by fitting the eigenvalue orthogonal spread data.
In one embodiment, predicting actual grid effect information for the fuel assembly based on the grid effect fit information and the grid effect measurement information includes:
acquiring an expansion coefficient and an intrinsic orthogonal base, wherein the intrinsic orthogonal base is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, the grid effect characteristics are obtained by carrying out characteristic construction on grid effect measurement information, and the expansion coefficient is obtained by carrying out fitting on grid effect fitting information and fuel assembly state parameters; and predicting the actual grid effect information corresponding to the fuel assembly by fusing the expansion coefficient and the intrinsic orthogonality base.
As an example, a grid effect feature matrix is constructed according to grid effect measurement information and multiple sets of historical measurement power information, orthogonal decomposition is performed on the grid effect feature matrix to obtain an intrinsic orthogonal base, grid effect fitting information is substituted according to state parameters of a fuel assembly to obtain expansion coefficients, and then actual grid effect information is obtained according to the intrinsic orthogonal base and the expansion coefficients.
As an example, the actual grid effect information is calculated as follows:
where f' (n) is the actual trellis effect information, φ k (n) is an intrinsic orthogonal group, a' k Is the expansion coefficient.
In one embodiment, theoretical power distribution information corresponding to a fuel assembly, fuel assembly state parameters and historical measured power information of the fuel assembly are obtained, the historical measured power information comprises a plurality of historical power measured values, and power change information corresponding to the historical measured power information is determined according to differences between the historical power measured values of adjacent measuring points; selecting a plurality of first change rates at the positions of the fuel assembly grids from the power change information, and selecting a second change rate meeting the preset change rate condition from the plurality of first change rates; and screening each target change rate from the power change information according to the second change rate, and taking the measuring point corresponding to each target change rate as a target measuring point for generating the lattice effect.
According to the position information of each target measuring point, positioning the position information of a region where the grid effect occurs, and obtaining standard power information when the fuel assembly region positioned by the position information of the region is not affected by the grid effect; removing power information corresponding to the regional position information in the historical measurement power information to obtain first historical measurement power information; fitting interpolation is carried out on the first historical measurement power information according to the standard power information to obtain target power information of a region of the fuel assembly, which is subjected to the grid effect, when the region is not affected by the grid effect, and grid effect measurement information is generated according to the historical measurement power information, the target power information and the region position information; because the historical measurement information of the fuel assemblies of the same type is utilized in the process of generating the grid effect measurement information, the grid effect measurement information can be directly multiplexed when the power of the fuel assemblies of the same type is corrected subsequently, and the correction efficiency of theoretical power distribution information is improved.
Further, the grid effect characteristics are obtained through characteristic construction of the grid effect measurement information, and the intrinsic orthogonal decomposition is carried out on the grid effect characteristics to obtain intrinsic orthogonal expansion data and an intrinsic orthogonal base; fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain grid effect fitting information; fitting the grid effect fitting information and the fuel assembly state parameters to obtain a spreading coefficient; predicting actual grid effect information corresponding to the fuel assembly by fusing the expansion coefficient and the intrinsic orthogonality base; and correcting the theoretical power distribution information according to the actual grid effect information. The actual grid effect information obtained in this way is extracted by taking the fuel assembly as a unit, and the modeling process does not need to be additionally modified, so that the model is greatly simplified, and the complexity of the model is greatly reduced; therefore, according to the actual grid effect information of the embodiment, the theoretical power distribution information is corrected, so that the correction efficiency can be improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a fuel assembly grid effect correction device for realizing the correction method of the fuel assembly grid effect. The implementation of the solution provided by the device is similar to that described in the above method, so the specific limitations in the embodiments of the device for correcting a fuel assembly grid effect provided below may be referred to the above limitations of the method for correcting a fuel assembly grid effect, and will not be repeated here.
In one embodiment, as shown in FIG. 4, a fuel assembly grid effect correction apparatus is provided, comprising: an information acquisition module 502, an information fitting module 504, a grid effect prediction module 506, and a power correction module 508, wherein:
the information obtaining module 502 is configured to obtain theoretical power distribution information, state parameters and frame effect measurement information corresponding to a fuel assembly according to assembly type information of the fuel assembly;
an information fitting module 504, configured to determine, according to the fuel assembly status parameter and the grid effect measurement information, grid effect fitting information corresponding to the fuel assembly, where the grid effect fitting information is used to characterize a degree of influence of the fuel assembly status parameter on a grid effect;
A grid effect prediction module 506, configured to predict actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information;
and the power correction module 508 is configured to correct the theoretical power distribution information according to the actual grid effect information of the actual grid effect information.
In one embodiment, the information obtaining module 502 is further configured to:
acquiring historical measurement power information of the fuel assembly; positioning a region where the grid effect occurs in the fuel assembly according to the historical measurement power information to obtain the position information of the region where the grid effect occurs; fitting target power information of a region of the fuel assembly, in which a grid effect occurs, when the region is not affected by the grid effect according to the region position information and the historical measured power information; and generating the grid effect measurement information according to the historical measurement power information, the target power information and the regional position information.
In one embodiment, the historical measured power information includes a plurality of historical power measurements; the information acquisition module 502 is further configured to:
determining power change information corresponding to the historical measurement power information according to the difference value between the historical power measurement values of the adjacent measurement points; selecting a plurality of first change rates at the positions of the fuel assembly grids from the power change information, and selecting a second change rate meeting a preset change rate condition from the plurality of first change rates; screening each target change rate from the power change information according to the second change rate, and taking the measuring point corresponding to each target change rate as a target measuring point with a grid effect; and positioning the position information of the area where the grid effect occurs according to the position information of each target measuring point.
In one embodiment, the information fitting module 502 is further configured to:
acquiring standard power information when the fuel assembly area positioned by the area position information is not influenced by the grid effect; removing power information corresponding to the regional position information in the historical measurement power information to obtain first historical measurement power information; and fitting interpolation is carried out on the first historical measurement power information according to the standard power information, so that target power information of the area of the fuel assembly, which is subjected to the grid effect, is obtained when the area is not influenced by the grid effect.
In one embodiment, the information fitting module 504 is further configured to include:
acquiring intrinsic orthogonal expansion data, wherein the intrinsic orthogonal expansion data is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, and the grid effect characteristics are obtained by carrying out characteristic construction on the grid effect measurement information; and fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain the grid effect fitting information.
In one embodiment, the lattice effect fitting module 506 is further configured to include:
Acquiring an expansion coefficient and an intrinsic orthogonal base, wherein the intrinsic orthogonal base is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, the grid effect characteristics are obtained by carrying out characteristic construction on grid effect measurement information, and the expansion coefficient is obtained by carrying out fitting on the grid effect fitting information and the fuel assembly state parameters; and predicting the actual grid effect information corresponding to the fuel assembly by fusing the expansion coefficient and the intrinsic orthogonal base.
The individual modules of the fuel assembly grid effect correction device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store correction data for the fuel assembly grid effect. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of correcting for a fuel assembly grid effect.
It will be appreciated by those skilled in the art that the structure shown in FIG. 5 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect; predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information; and correcting the theoretical power distribution information according to the actual grid effect information.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring historical measurement power information of the fuel assembly; positioning a region where the grid effect occurs in the fuel assembly according to the historical measurement power information to obtain the position information of the region where the grid effect occurs; fitting target power information of a region of the fuel assembly, in which a grid effect occurs, when the region is not affected by the grid effect according to the region position information and the historical measured power information; and generating the grid effect measurement information according to the historical measurement power information, the target power information and the regional position information.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining power change information corresponding to the historical measurement power information according to the difference value between the historical power measurement values of the adjacent measurement points; selecting a plurality of first change rates at the positions of the fuel assembly grids from the power change information, and selecting a second change rate meeting a preset change rate condition from the plurality of first change rates; screening each target change rate from the power change information according to the second change rate, and taking the measuring point corresponding to each target change rate as a target measuring point with a grid effect; and positioning the position information of the area where the grid effect occurs according to the position information of each target measuring point.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring standard power information when the fuel assembly area positioned by the area position information is not influenced by the grid effect; removing power information corresponding to the regional position information in the historical measurement power information to obtain first historical measurement power information; and fitting interpolation is carried out on the first historical measurement power information according to the standard power information, so that target power information of the area of the fuel assembly, which is subjected to the grid effect, is obtained when the area is not influenced by the grid effect.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring intrinsic orthogonal expansion data, wherein the intrinsic orthogonal expansion data is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, and the grid effect characteristics are obtained by carrying out characteristic construction on the grid effect measurement information; and fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain the grid effect fitting information.
In one embodiment, the processor when executing the computer program further performs the steps of:
Acquiring an expansion coefficient and an intrinsic orthogonal base, wherein the intrinsic orthogonal base is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, the grid effect characteristics are obtained by carrying out characteristic construction on grid effect measurement information, and the expansion coefficient is obtained by carrying out fitting on the grid effect fitting information and the fuel assembly state parameters; and predicting the actual grid effect information corresponding to the fuel assembly by fusing the expansion coefficient and the intrinsic orthogonal base.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect; predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information; and correcting the theoretical power distribution information according to the actual grid effect information.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring historical measurement power information of the fuel assembly; positioning a region where the grid effect occurs in the fuel assembly according to the historical measurement power information to obtain the position information of the region where the grid effect occurs; fitting target power information of a region of the fuel assembly, in which a grid effect occurs, when the region is not affected by the grid effect according to the region position information and the historical measured power information; and generating the grid effect measurement information according to the historical measurement power information, the target power information and the regional position information.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining power change information corresponding to the historical measurement power information according to the difference value between the historical power measurement values of the adjacent measurement points; selecting a plurality of first change rates at the positions of the fuel assembly grids from the power change information, and selecting a second change rate meeting a preset change rate condition from the plurality of first change rates; screening each target change rate from the power change information according to the second change rate, and taking the measuring point corresponding to each target change rate as a target measuring point with a grid effect; and positioning the position information of the area where the grid effect occurs according to the position information of each target measuring point.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring standard power information when the fuel assembly area positioned by the area position information is not influenced by the grid effect; removing power information corresponding to the regional position information in the historical measurement power information to obtain first historical measurement power information; and fitting interpolation is carried out on the first historical measurement power information according to the standard power information, so that target power information of the area of the fuel assembly, which is subjected to the grid effect, is obtained when the area is not influenced by the grid effect.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring intrinsic orthogonal expansion data, wherein the intrinsic orthogonal expansion data is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, and the grid effect characteristics are obtained by carrying out characteristic construction on the grid effect measurement information; and fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain the grid effect fitting information.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Acquiring an expansion coefficient and an intrinsic orthogonal base, wherein the intrinsic orthogonal base is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, the grid effect characteristics are obtained by carrying out characteristic construction on grid effect measurement information, and the expansion coefficient is obtained by carrying out fitting on the grid effect fitting information and the fuel assembly state parameters; and predicting the actual grid effect information corresponding to the fuel assembly by fusing the expansion coefficient and the intrinsic orthogonal base.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component; determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect; predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information; and correcting the theoretical power distribution information according to the actual grid effect information.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring historical measurement power information of the fuel assembly; positioning a region where the grid effect occurs in the fuel assembly according to the historical measurement power information to obtain the position information of the region where the grid effect occurs; fitting target power information of a region of the fuel assembly, in which a grid effect occurs, when the region is not affected by the grid effect according to the region position information and the historical measured power information; and generating the grid effect measurement information according to the historical measurement power information, the target power information and the regional position information.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining power change information corresponding to the historical measurement power information according to the difference value between the historical power measurement values of the adjacent measurement points; selecting a plurality of first change rates at the positions of the fuel assembly grids from the power change information, and selecting a second change rate meeting a preset change rate condition from the plurality of first change rates; screening each target change rate from the power change information according to the second change rate, and taking the measuring point corresponding to each target change rate as a target measuring point with a grid effect; and positioning the position information of the area where the grid effect occurs according to the position information of each target measuring point.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring standard power information when the fuel assembly area positioned by the area position information is not influenced by the grid effect; removing power information corresponding to the regional position information in the historical measurement power information to obtain first historical measurement power information; and fitting interpolation is carried out on the first historical measurement power information according to the standard power information, so that target power information of the area of the fuel assembly, which is subjected to the grid effect, is obtained when the area is not influenced by the grid effect.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring intrinsic orthogonal expansion data, wherein the intrinsic orthogonal expansion data is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, and the grid effect characteristics are obtained by carrying out characteristic construction on the grid effect measurement information; and fusing the fuel assembly state parameters and the intrinsic orthogonal expansion data to obtain the grid effect fitting information.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Acquiring an expansion coefficient and an intrinsic orthogonal base, wherein the intrinsic orthogonal base is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, the grid effect characteristics are obtained by carrying out characteristic construction on grid effect measurement information, and the expansion coefficient is obtained by carrying out fitting on the grid effect fitting information and the fuel assembly state parameters; and predicting the actual grid effect information corresponding to the fuel assembly by fusing the expansion coefficient and the intrinsic orthogonal base.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims (10)

1. A method of modifying a fuel assembly grid effect, the method comprising:
according to the component type information of the fuel component, acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel component;
determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect;
Predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information;
and correcting the theoretical power distribution information according to the actual grid effect information.
2. The correction method according to claim 1, wherein obtaining the lattice effect measurement information includes:
acquiring historical measurement power information of the fuel assembly;
positioning a region where the grid effect occurs in the fuel assembly according to the historical measurement power information to obtain the position information of the region where the grid effect occurs;
fitting target power information of a region of the fuel assembly, in which a grid effect occurs, when the region is not affected by the grid effect according to the region position information and the historical measured power information;
and generating the grid effect measurement information according to the historical measurement power information, the target power information and the regional position information.
3. The correction method of claim 2, wherein the historical measured power information comprises a plurality of historical power measurements; the step of locating the area where the grid effect occurs on the fuel assembly according to the historical measurement power information of the fuel assembly to obtain the position information of the area where the grid effect occurs, comprising the following steps:
Determining power change information corresponding to the historical measurement power information according to the difference value between the historical power measurement values of the adjacent measurement points;
selecting a plurality of first change rates at the positions of the fuel assembly grids from the power change information, and selecting a second change rate meeting a preset change rate condition from the plurality of first change rates;
screening each target change rate from the power change information according to the second change rate, and taking the measuring point corresponding to each target change rate as a target measuring point with a grid effect;
and positioning the position information of the area where the grid effect occurs according to the position information of each target measuring point.
4. The correction method according to claim 2, wherein said fitting the target power information of the region of the fuel assembly where the lattice effect occurs when not affected by the lattice effect based on the region position information and the history measurement power information includes:
acquiring standard power information when the fuel assembly area positioned by the area position information is not influenced by the grid effect;
removing power information corresponding to the regional position information in the historical measurement power information to obtain first historical measurement power information;
And fitting interpolation is carried out on the first historical measurement power information according to the standard power information, so that target power information of the area of the fuel assembly, which is subjected to the grid effect, is obtained when the area is not influenced by the grid effect.
5. The method of claim 1, wherein determining the corresponding grid effect fit information for the fuel assembly based on the fuel assembly status parameter and the grid effect measurement information comprises:
acquiring intrinsic orthogonal expansion data, wherein the intrinsic orthogonal expansion data is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, and the grid effect characteristics are obtained by carrying out characteristic construction on the grid effect measurement information;
for the fuel assembly status parameter andfusion of the intrinsic orthogonal spread data ， And obtaining the grid effect fitting information.
6. The correction method according to claim 1, wherein predicting the actual lattice effect information corresponding to the fuel assembly based on the lattice effect fitting information and the lattice effect measurement information includes:
acquiring an expansion coefficient and an intrinsic orthogonal base, wherein the intrinsic orthogonal base is obtained by carrying out intrinsic orthogonal decomposition on grid effect characteristics, the grid effect characteristics are obtained by carrying out characteristic construction on grid effect measurement information, and the expansion coefficient is obtained by carrying out fitting on the grid effect fitting information and the fuel assembly state parameters;
And predicting the actual grid effect information corresponding to the fuel assembly by fusing the expansion coefficient and the intrinsic orthogonal base.
7. A fuel assembly grid effect correction apparatus, the apparatus comprising:
the information acquisition module is used for acquiring theoretical power distribution information, state parameters and grid effect measurement information corresponding to the fuel assembly according to the assembly type information of the fuel assembly;
the information fitting module is used for determining grid effect fitting information corresponding to the fuel assembly according to the fuel assembly state parameter and the grid effect measurement information, wherein the grid effect fitting information is used for representing the influence degree of the fuel assembly state parameter on the grid effect;
the grid effect prediction module is used for predicting actual grid effect information corresponding to the fuel assembly according to the grid effect fitting information and the grid effect measurement information;
and the power correction module is used for correcting the theoretical power distribution information according to the actual grid effect information of the actual grid effect information.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
CN202311163943.1A 2023-09-08 2023-09-08 Correction method and device for grid effect of fuel assembly and computer equipment Pending CN117150796A (en)

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Application Number Priority Date Filing Date Title
CN202311163943.1A CN117150796A (en) 2023-09-08 2023-09-08 Correction method and device for grid effect of fuel assembly and computer equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311163943.1A CN117150796A (en) 2023-09-08 2023-09-08 Correction method and device for grid effect of fuel assembly and computer equipment

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