Detector arrangement optimization design method, system, computer equipment and storage medium

Abstract

The present invention relates to a detector arrangement scheme optimization design method, system, computer equipment and storage medium. The method comprises: S1: setting a number of detector arrangement schemes to be verified for the core; S2: modeling and calculating the core to obtain a core power distribution prediction value and a detector signal prediction value; S3: obtaining the detector signal measurement value of each detector arrangement scheme to be verified according to different detector arrangement schemes to be verified; S4: calculating the core power distribution reconstruction value of each detector arrangement scheme to be verified according to the core power distribution prediction value, the detector signal prediction value and the detector signal measurement value; analyzing and selecting the optimized arrangement scheme according to the core power distribution reconstruction value of each detector arrangement scheme to be verified. The present invention has the advantage of being able to quickly compare and analyze new reactor types and various detector arrangement schemes without conducting experiments to obtain an optimized arrangement scheme.

Description

Technical Field

[0001] The present invention relates to the field of nuclear power technology, and in particular to a detector arrangement scheme optimization design method. Background Art

[0002] In the field of nuclear power technology, new reactors mostly use fixed self-powered detectors to carry out core power distribution measurements. In order to reduce the deviation between the full core power distribution restored based on the current value of the self-powered detector and the actual measured value, a sufficient number of self-powered detectors arranged in the core needs to be used.

[0003] However, considering that the control rod assembly takes up a part of the layout space and the detectors are expensive, considering factors such as the layout space within the core and economy, the more detectors are not necessarily better.

[0004] Therefore, for new reactors and other units using fixed self-powered detectors, in the absence of mature detector layout plans for reference, qualitative regulations are usually used for layout.

[0005] Qualitatively specify the number of radially arranged detectors and the approximate axial arrangement of the entire reactor. For example, it specifies that the detectors need to be arranged in parallel in the radial direction of the core, and each self-powered neutron detector channel needs to remain consistent in the axial direction. These are all qualitative descriptions, and no basis for judging each arrangement method is given.

[0006] However, this traditional qualitative self-powered detector layout optimization method has at least the following shortcomings and problems: it is only a qualitative description, without a quantitative indicator to judge the pros and cons of various layout schemes; and it does not provide a method for finding the optimal layout scheme. Summary of the invention

[0007] The technical problem to be solved by the present invention is to provide a method for optimizing the design of detector arrangement schemes.

[0008] The technical solution adopted by the present invention to solve the technical problem is: constructing a detector arrangement optimization design method, comprising the following steps:

[0009] S1: Set up several detector layout schemes to be verified for the core;

[0010] S2: Modeling and calculating the core to obtain a predicted value of core power distribution and a predicted value of detector signal;

[0011] S3: obtaining a detector signal measurement value of each detector arrangement scheme to be verified according to different detector arrangement schemes to be verified;

[0012] S4: Calculate the core power distribution reconstruction value of each detector arrangement scheme to be verified based on the core power distribution prediction value, the detector signal prediction value and the detector signal measurement value; and select the optimized arrangement scheme based on the core power distribution reconstruction value of each detector arrangement scheme to be verified.

[0013] Preferably, in step S2, the predicted value of the core power distribution and the neutron flux distribution value are calculated by a nuclear design program;

[0014] The detector signal prediction value at the corresponding position is calculated based on the detector position in the detector arrangement scheme to be verified and the neutron flux distribution value.

[0015] Preferably, the detector arrangement scheme to be verified includes radial quantity variables, radial position variables and axial segmentation variables.

[0016] Preferably, in step S3, the real state of the core is simulated for each detector arrangement scheme to be verified according to the radial quantity variables, radial position variables and axial segmentation variables, and the detector signal measurement value of each detector arrangement scheme to be verified is obtained based on the rod flux distribution calculation value.

[0017] Preferably, in step S4, according to the following formula:

[0018]

[0019] The core power distribution reconstruction value is obtained by calculation; wherein

[0020] P Rec (r) is the core power distribution reconstruction value; P Pre (r) is the predicted value of the core power distribution; Mea (r) is the measured value of the detector signal; I Pre (r) is the predicted value of the detector signal.

[0021] Preferably, the Perform epitaxial function fitting to obtain the fitting proportional function of the whole stack range

[0022] The core power distribution reconstruction value P Rec (r) = P Pre (r)h(r).

[0023] Preferably, using a rectangular coordinate system, the fitting proportional function is:

[0024]

[0025]

[0026] Wherein, x, y, z represent different directions of the rectangular coordinate system; h(x, y, z) is the fitting proportional function in the rectangular coordinate system; a o , a1, a2, a3, b i is the fitting coefficient; (x i ,y i , z i ) represents the position coordinates of the ith detector; li represents the distance between the ith detector and the coordinates (x, y, z); M is the number of detectors.

[0027] Preferably, step S4 comprises:

[0028] S4-1: decoupling the radial arrangement and the axial arrangement of the detector arrangement scheme to be verified, so that each of the detector arrangement schemes to be verified forms a corresponding radial arrangement sample;

[0029] S4-2: Calculating each radial arrangement sample to obtain the corresponding core power distribution reconstruction value;

[0030] S4-3: Processing all the core power distribution reconstruction values ​​obtained in step S4-2 to obtain a radial relative deviation value and a radial deviation root mean square value;

[0031] S4-4: screening the detector arrangement scheme to be verified whose radial relative deviation value satisfies the set criteria;

[0032] S4-5: Compare the root mean square values ​​of the radial deviations of the detector arrangement schemes to be verified obtained in step S4-3 to obtain a preferred radial arrangement sample.

[0033] Preferably, in the step S4, it also includes:

[0034] S4-6: Divide each of the preferred radial arrangement samples into axial blocks to establish corresponding axial arrangement samples;

[0035] S4-7: Calculating each of the axial arrangement samples to obtain the corresponding core power distribution reconstruction value;

[0036] S4-8: Processing all the core power distribution reconstruction values ​​obtained in step S4-7 to obtain an axial relative deviation value and an axial deviation root mean square value;

[0037] S4-9: screening the detector arrangement scheme to be verified whose axial relative deviation value satisfies the set criteria;

[0038] S4-10: Compare the root mean square values ​​of the axial deviations of the detector arrangement schemes to be verified obtained in step S4-8 to obtain a preferred axial arrangement sample as the preferred arrangement scheme.

[0039] The present invention also provides a detector arrangement scheme optimization system, comprising:

[0040] An arrangement scheme setting module is used to set a number of arrangement schemes of detectors to be verified for the core;

[0041] a core modeling and calculation module, used for performing modeling and calculation on the core to obtain a predicted value of core power distribution and a predicted value of detector signal, and obtaining a measured value of the detector signal of each detector arrangement scheme to be verified according to different detector arrangement schemes to be verified; and

[0042] The reconstruction optimization module is used to calculate the core power distribution reconstruction value of each detector arrangement scheme to be verified based on the core power distribution prediction value, the detector signal prediction value and the detector signal measurement value; and to select the optimized arrangement scheme based on the core power distribution reconstruction value of each detector arrangement scheme to be verified.

[0043] The present invention also provides a computer device, comprising: a processor and a memory for storing a computer program that can be run on the processor, wherein the processor is used to implement any of the above-mentioned detector arrangement scheme optimization design methods when running the computer program.

[0044] The present invention also provides a computer storage medium, characterized in that an executable program is stored therein, and when the executable program is executed by a processor, any of the above-mentioned detector arrangement scheme optimization design methods is implemented.

[0045] The implementation of the present invention has the following beneficial effects: the present invention calculates the core power distribution reconstruction value of each detector arrangement scheme to be verified through the core power distribution prediction value, the detector signal prediction value and the detector signal measurement value, and then analyzes and selects the optimized arrangement scheme therefrom. This has the advantage of being able to quickly conduct comparative analysis on new reactor types and various detector arrangement schemes to obtain an optimized arrangement scheme without conducting experiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0047] Figure 1 It is a flow chart of an embodiment of the detector arrangement optimization design method of the present invention;

[0048] Figure 2It is a flowchart of a specific embodiment of step S4 of the detector arrangement optimization design method of the present invention. DETAILED DESCRIPTION

[0049] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific embodiments of the present invention are now described in detail with reference to the accompanying drawings. In the following description, it should be understood that the directions or positional relationships indicated by "front", "back", "up", "down", "left", "right", "longitudinal", "horizontal", "vertical", "horizontal", "top", "bottom", "inside", "outside", "head", "tail", etc. are based on the directions or positional relationships shown in the accompanying drawings, are constructed and operated in a specific direction, and are only for the convenience of describing the present technical solution, rather than indicating that the device or element referred to must have a specific direction, and therefore cannot be understood as a limitation to the present invention.

[0050] It should also be noted that, unless otherwise clearly specified and limited, the terms such as "installed", "connected", "connected", "fixed", "set" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. When an element is referred to as being "on" or "under" another element, the element can be "directly" or "indirectly" located on the other element, or there may be one or more intermediate elements. The terms "first", "second", "third", etc. are only for the convenience of describing the present technical solution, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first", "second", "third", etc. can explicitly or implicitly include one or more of the features. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0051] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0052] like Figure 1 As shown, in the first embodiment of the detector arrangement optimization design method of the present invention, the following steps are included:

[0053] S1: Set a number of detector arrangement schemes to be verified for the core. It is understandable that the detector arrangement scheme to be verified can be designed according to regulations, including radial quantity variables, radial position variables, and axial segmentation variables. By adjusting variables such as radial quantity variables, radial position variables, and axial segmentation variables, different detector arrangement schemes to be verified are formed.

[0054] S2: Model and calculate the core to obtain the predicted value of core power distribution and the predicted value of detector signal. In this embodiment, the predicted value of core power distribution and the neutron flux distribution are calculated by the nuclear design program. The nuclear design program can provide the core power calculation data at the component, node and pin level.

[0055] The detector signal prediction value at the corresponding position is calculated based on the detector position and the neutron flux distribution value in the detector arrangement scheme to be verified. It can be understood that each detector in each scheme can obtain the corresponding detector signal prediction value by calculating the neutron flux distribution value.

[0056] S3: According to different detector arrangement schemes to be verified, the detector signal measurement value of each detector arrangement scheme to be verified is obtained. According to the radial quantity variable, radial position variable and axial segmentation variable, the real state of the core is simulated for each detector arrangement scheme to be verified, and the detector signal measurement value of each detector arrangement scheme to be verified is obtained based on the rod flux distribution calculation value. The calculation of the rod flux can be performed by dividing the core into multiple blocks and reconstructing the rod flux of each fuel rod in the block.

[0057] S4: Calculate the core power distribution reconstruction value of each detector arrangement scheme to be verified based on the core power distribution prediction value, the detector signal prediction value and the detector signal measurement value; and select the optimal arrangement scheme based on the core power distribution reconstruction value of each detector arrangement scheme to be verified.

[0058] In this embodiment, the core power distribution reconstruction value can be calculated according to the following formula:

[0059]

[0060] Where: P Rec (r) is the core power distribution reconstruction value; P Pre (r) is the predicted value of core power distribution; I Mea (r) is the detector signal measurement value; I Pre (r) is the predicted value of the detector signal.

[0061] Furthermore, since the detectors in the core are only arranged at specific measuring points r dThe ratio of the detector signal measurement value to the detector signal prediction value only exists at some discrete measuring points in space. Therefore, the extension function can be used to fit the ratio in the whole core range to form the core power distribution reconstruction value of the whole core.

[0062] Specific:

[0063] right Perform epitaxial function fitting to obtain the fitting proportional function of the whole stack range

[0064] Core power distribution reconstruction value P Rec (r) = P Pre (r)h(r).

[0065] Using the rectangular coordinate system, the fitting proportional function is:

[0066]

[0067] Where x, y, and z represent different directions of the rectangular coordinate system; h(x, y, z) is the fitting proportional function in the rectangular coordinate system; a o , a1, a2, a3, b i is the fitting coefficient; (x i ,y i , z i ) represents the position coordinate of the ith detector; li represents the distance between the ith detector and the coordinate (x, y, z); M is the number of detectors.

[0068] Furthermore, the influence of the regularization coefficient term can be added in the process of fitting the proportional function to the extension function, and the formula (1) can be solved by the properties of the extension function and the known detector signal measurement value. Substituting the fitting coefficient into the formula (1) can obtain the three-dimensional continuous proportional function of the whole reactor, and then obtain the reconstruction value of the core power distribution of the whole reactor.

[0069] Then, according to the deviation results of the core power distribution reconstruction value, the rationality of the radial and axial design schemes of the self-powered detectors were evaluated respectively. Finally, the layout scheme with a small reconstruction deviation and an appropriate number of detectors was selected as the optimal self-powered detector layout scheme.

[0070] Specifically, Figure 2 As shown, S4-1: decouple the radial arrangement and axial arrangement of the detector arrangement scheme to be verified, and form a corresponding radial arrangement sample for each detector arrangement scheme to be verified. For example, the axial arrangement of the detectors in the detector arrangement scheme to be verified is fixed, and a plurality of radial arrangement samples are generated with fixed axial detector numbers and positions and different radial detector numbers and positions.

[0071] S4-2: Calculate each radial arrangement sample to obtain the corresponding core power distribution reconstruction value. It can be understood that the generation of the core power distribution reconstruction value can be obtained according to the above-mentioned calculation method of the core power distribution reconstruction value.

[0072] S4-3: Process all core power distribution reconstruction values ​​obtained in step S4-2 to obtain radial relative deviation values ​​and radial deviation root mean square values.

[0073] S4-4: Screen the detector arrangement schemes to be verified whose radial relative deviation values ​​meet the set criteria.

[0074] Based on the randomness of the detector measurement error, this paper simulates the measurement value of the real state of the core. According to the neutron flux distribution of the three-dimensional whole reactor under the specific state of the reactor, the maximum relative deviation of the detector response value is defined. It is assumed that the measurement deviation of each detector measurement point in the core is uncertain, and the overall deviation of the whole reactor is normally distributed. Using completely consistent detector measurement conditions, that is, the working performance of a single detector is stable and is not affected by changes in the detector layout.

[0075] Based on the above analysis and taking into account the actual measurement conditions, the maximum relative deviation of the simulation of the detector response value of the real state of the core is 10%, and the overall deviation of the whole reactor is normally distributed.

[0076] S4-5: Compare the root mean square values ​​of the radial deviations of the detector arrangement schemes to be verified obtained in step S4-3 to obtain a preferred radial arrangement sample.

[0077] S4-6: Divide each preferred radial arrangement sample into axial nodes and establish the corresponding axial arrangement sample. First, the explicit grid modeling method of the nuclear design program is used to determine the specific axial position of the positioning grid; secondly, the detector position of the axial segmented quantity is simulated to the core active section, and in this process, the axial head and tail detector positions are kept unchanged and the detectors are kept away from the grid nodes; finally, the axial nodes are specifically divided and the relative positions of the detectors and the grid are confirmed.

[0078] S4-7: Calculate each axial arrangement sample to obtain the corresponding core power distribution reconstruction value. It can be understood that the generation of the core power distribution reconstruction value can be obtained according to the above-mentioned calculation method of the core power distribution reconstruction value.

[0079] S4-8: Processing all core power distribution reconstruction values ​​obtained in step S4-7 to obtain an axial relative deviation value and an axial deviation root mean square value;

[0080] S4-9: Screening the detector arrangement scheme to be verified whose axial relative deviation value meets the set criteria;

[0081] S4-10: Compare the root mean square values ​​of the axial deviations of the detector arrangement schemes to be verified obtained in step S4-8 to obtain a preferred axial arrangement sample as a preferred arrangement scheme.

[0082] 22 different detector radial arrangement samples are given below for verification, all of which avoid the control rod assembly. Table 1 gives the arrangement quantity and simplified representation method of the 22 detector radial arrangement samples.

[0083] Table 1 Simplified representation of the detector radial arrangement sample

[0084]

[0085] Take 28-7-A as an example, where "28" is the number of radial detectors, "7" is the number of axial detectors, and "A" is a radial arrangement sample with the same number of radial detectors and axial detectors; other expressions follow the same rules.

[0086] According to different detector radial arrangement samples, the reactor core power distribution is reconstructed to obtain the radial relative deviation value and the radial deviation root mean square value. The calculation results are shown in Table 2.

[0087] The verification items and criteria of this embodiment are as follows:

[0088] 1) MAX P 0.9- (Components with relative power ≤ 0.9), the reconstructed radial relative deviation value ≤ 8%;

[0089] 2) MAX P 0.9+ (Components with relative power ≥ 0.9), the reconstructed radial relative deviation value ≤ 5%;

[0090] 3) RMS 2D (Component Power RMS Deviation), the reconstructed radial RMS deviation value.

[0091] Table 2 Numerical results of detector radial sample scheme power reconstruction deviation

[0092]

[0093] It can be seen from Table 2 that for the verification item of the radial relative deviation value of the power distribution, the reconstruction results of the 22 detector radial arrangement samples all meet the safety limit: for components with relative power ≤0.9, the radial relative deviation value of the reconstructed power in all sample schemes is 2.61%; for components with relative power ≥0.9, the radial relative deviation value of the reconstructed power in all sample schemes is 2.11%.

[0094] In the case of satisfying the radial relative deviation value verification criteria, this paper will use RMS 2D, that is, the reconstructed radial deviation root mean square value verification item is used as an indicator to evaluate the rationality of different detector layout schemes. The reconstructed power radial deviation root mean square value of radial sample schemes 36-7-A, 38-7-C, 40-7-B, 42-7-E and 44-7-A in the table is the smallest. Based on this, this embodiment uses the above five schemes as selected detector radial layout samples, and further verifies and confirms these five schemes.

[0095] Axial solution screening

[0096] For the verification of the axial segmentation of the detector, it is necessary to confirm the axial modeling of the reactor by the nuclear design program, so that the detector schemes of the five axial segmentation have consistent axial block divisions, and obtain axial arrangement samples. The specific method is: first, the explicit grid modeling method of the nuclear design program is used to determine the specific axial position of the positioning grid; secondly, the detector positions of the five axial segmentation quantities are simulated to the active section of the core, and in this process, the axial head and tail detector positions are kept unchanged and the detectors are kept away from the grid blocks; finally, the axial blocks are specifically divided, and the relative positions of the detectors and the grids are confirmed. Based on the above analysis, the active section of the core is divided into 27 blocks axially. The axial block heights and the corresponding detector positions are shown in the table.

[0097] Table 3 Axial segment modeling and position correspondence with detector

[0098]

[0099]

[0100] The screening of the detector axial arrangement samples focuses on the verification of the axial segmentation amount, and the power reconstruction method is the same as that of the radial arrangement samples. According to the five selected radial designs, the table shows the axial relative deviation values ​​and the axial deviation root mean square values ​​of the different detector axial arrangement samples. The verification items are the reconstructed axial relative deviation values ​​and the axial deviation root mean square values ​​with a relative power boundary of 0.9. It can be seen from Table 4 that for the five detector radial arrangement samples, the axial relative deviation value verification items all meet the safety criteria, and the reconstructed axial deviation root mean square value verification items show a decreasing trend with the increase of the axial segmentation amount.

[0101] Table 4 Numerical results of power reconstruction deviation of axial scheme

[0102]

[0103]

[0104] In Table 4, for the verification item of the reconstructed axial relative deviation value, all the detector axial arrangement samples are less than the safety criterion.0.9+ Except for the smallest calculated value of the verification item, the numerical results of the other radial designs all show that when the axial segmentation is 7 segments, the maximum relative deviation of the component power distribution reconstruction divided by the relative power of 0.9 is the smallest. Under the condition of meeting the safety limit of the axial relative deviation value, the reconstruction performance comparison of different axial segmentation amounts is reflected in the verification item of the reconstructed axial deviation root mean square value. The root mean square values ​​of the axial deviation of the power reconstruction of the five different radial designs all show a trend of decreasing with the increase of the axial segmentation amount, that is, the overall reconstruction accuracy of the power distribution of the whole reactor core is improved.

[0105] From the above numerical results, it can be seen that the detector arrangement scheme with an axial segmentation of 15 has the smallest root mean square value of the axial deviation of the power distribution reconstruction and the best full stack reconstruction performance. In terms of reconstruction efficiency, 36-15-A and 44-15-A are selected as the axial scheme screening results. The root mean square value of the reconstruction axial deviation of these two schemes is the smallest; at the same time, considering the economy, the embodiment selects scheme 44-10-A as an alternative suboptimal scheme. This detector arrangement scheme has excellent reconstruction performance, and the number of detectors is less than the previous two schemes.

[0106] Through two-stage reconstruction calculation of the radial and axial design schemes of the detector, and on the basis of comparing the root mean square values ​​of radial and axial deviations of different sample schemes, three relatively good design schemes were formed: 36-15-A, 44-15-A and 44-10-A.

[0107] In one embodiment of the detector arrangement optimization system of the present invention, the system comprises:

[0108] An arrangement scheme setting module is used to set a number of arrangement schemes of detectors to be verified for the core;

[0109] A core modeling and calculation module, which is used to perform modeling and calculation on the core, obtain the predicted value of core power distribution and the predicted value of detector signal, and obtain the measured value of detector signal of each detector arrangement scheme to be verified according to different detector arrangement schemes to be verified; and

[0110] The reconstruction optimization module is used to calculate the core power distribution reconstruction value of each detector arrangement scheme to be verified based on the core power distribution prediction value, the detector signal prediction value and the detector signal measurement value; and to select the optimized arrangement scheme based on the core power distribution reconstruction value of each detector arrangement scheme to be verified.

[0111] It can be understood that the system can execute each step of any embodiment of the above method.

[0112] An embodiment of the present invention further provides a computer device, which includes a memory, a processor, and computer instructions stored in the memory and executable on the processor; when the processor executes the instructions, the steps of the detector arrangement optimization design method are implemented.

[0113] In some embodiments, the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus random access memory (DRRAM). The memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0114] The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in conjunction with its hardware.

[0115] In some embodiments, the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit may be implemented in one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions of the present application, or a combination thereof.

[0116] For software implementation, the technology of this article can be implemented by modules (such as procedures, functions, etc.) that perform the functions of this article. The software code can be stored in a memory and executed by a processor. The memory can be implemented in the processor or outside the processor.

[0117] Yet another embodiment of the present invention provides a computer storage medium, wherein the computer-readable storage medium stores an executable program, and when the executable program is executed by a processor, the steps of the detector arrangement optimization design method can be implemented.

[0118] In some embodiments, computer storage media may include: USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks, and other media that can store program codes.

[0119] It can be understood that the above embodiments only express the preferred implementation modes of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the patent scope of the present invention. It should be pointed out that, for ordinary technicians in this field, the above technical features can be freely combined without departing from the concept of the present invention, and several deformations and improvements can be made, which all belong to the protection scope of the present invention. Therefore, all equivalent changes and modifications made to the scope of the claims of the present invention should belong to the coverage of the claims of the present invention.

Claims

1. A detector arrangement optimization design method, characterized in that: The following steps are involved: S1: Set up several detector layout schemes to be verified for the core; S2: Modeling and calculating the core to obtain a predicted value of core power distribution and a predicted value of detector signal; S3: obtaining a detector signal measurement value of each detector arrangement scheme to be verified according to different detector arrangement schemes to be verified; S4: calculating a core power distribution reconstruction value of each detector arrangement scheme to be verified according to the core power distribution prediction value, the detector signal prediction value and the detector signal measurement value; An optimized arrangement scheme is selected based on the core power distribution reconstruction value analysis of each detector arrangement scheme to be verified; Wherein, the S4 includes: S4-1: decoupling the radial arrangement and the axial arrangement of the detector arrangement scheme to be verified, so that each of the detector arrangement schemes to be verified forms a corresponding radial arrangement sample; S4-2: Calculating each radial arrangement sample to obtain the corresponding core power distribution reconstruction value; S4-3: Processing all the core power distribution reconstruction values ​​obtained in step S4-2 to obtain a radial relative deviation value and a radial deviation root mean square value; S4-4: screening the detector arrangement scheme to be verified whose radial relative deviation value satisfies the set criteria; S4-5: Comparing the radial deviation root mean square values ​​of the detector arrangement scheme to be verified obtained in step S4-3 to obtain a preferred radial arrangement sample; S4-6: Divide each of the preferred radial arrangement samples into axial blocks to establish corresponding axial arrangement samples; S4-7: Calculating each of the axial arrangement samples to obtain the corresponding core power distribution reconstruction value; S4-8: Processing all the core power distribution reconstruction values ​​obtained in step S4-7 to obtain an axial relative deviation value and an axial deviation root mean square value; S4-9: screening the detector arrangement scheme to be verified whose axial relative deviation value satisfies the set criteria; S4-10: Compare the root mean square values ​​of the axial deviations of the detector arrangement schemes to be verified obtained in step S4-8 to obtain a preferred axial arrangement sample as the preferred arrangement scheme.

2. The detector arrangement optimization design method according to claim 1, characterized in that: In the step S2, the predicted value of the core power distribution and the neutron flux distribution value are calculated by a nuclear design program; The detector signal prediction value at the corresponding position is calculated based on the detector position in the detector arrangement scheme to be verified and the neutron flux distribution value.

3. The detector arrangement optimization design method according to claim 1, characterized in that: The detector arrangement scheme to be verified includes radial quantity variables, radial position variables and axial segmentation variables.

4. The detector arrangement optimization design method according to claim 3, characterized in that: In step S3, the core real state simulation is performed for each detector arrangement scheme to be verified according to the radial quantity variables, radial position variables and axial segmentation variables, and the detector signal measurement value of each detector arrangement scheme to be verified is obtained based on the rod flux distribution calculation value.

5. The detector arrangement optimization design method according to claim 4, characterized in that: In step S4, according to the following formula: Calculating and obtaining the core power distribution reconstruction value; in < i>P Rec ( r ) is the core power distribution reconstruction value; P Pre ( r ) is the predicted value of core power distribution; I Mea ( r ) is the detector signal measurement value; I Pre ( r ) is the predicted value of the detector signal.

6. The detector arrangement optimization design method according to claim 5, characterized in that: Regarding the Perform epitaxial function fitting to obtain the fitting proportional function of the whole stack range , The core power distribution reconstruction value .

7. The detector arrangement optimization design method according to claim 6, characterized in that: Using a rectangular coordinate system, the fitting proportional function is: in, Represents different directions of the rectangular coordinate system; is the fitting proportional function in rectangular coordinate system; is the fitting coefficient; represents the position coordinates of the i-th detector; li represents the position coordinates of the i-th detector distance; M is the number of detectors.

8. A detector arrangement scheme optimization system, applying the detector arrangement scheme optimization design method according to any one of claims 1 to 7, characterized in that: include: An arrangement scheme setting module is used to set a number of arrangement schemes of detectors to be verified for the core; A core modeling and calculation module is used to perform modeling and calculation on the core to obtain a core power distribution prediction value and a detector signal prediction value, and obtain the detector signal measurement value of each detector arrangement scheme to be verified according to different detector arrangement schemes to be verified; and a reconstruction optimization module is used to calculate the core power distribution reconstruction value of each detector arrangement scheme to be verified according to the core power distribution prediction value, the detector signal prediction value and the detector signal measurement value; and an optimized arrangement scheme is selected based on the analysis of the core power distribution reconstruction value of each detector arrangement scheme to be verified.

9. A computer device, characterized in that: include: A processor and a memory for storing a computer program that can be run on the processor, wherein the processor is used to implement the detector arrangement optimization design method described in any one of claims 1-7 when running the computer program.

10. A computer storage medium, characterized in that: An executable program is stored, and when the executable program is executed by a processor, the detector arrangement scheme optimization design method according to any one of claims 1 to 7 is implemented.

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