Simulated lunar soil gradation design method, device, equipment and medium

Abstract

The invention relates to a simulated lunar soil gradation design method, device, equipment and medium, and belongs to the technical field of simulated lunar soil preparation.The simulated lunar soil gradation design method comprises the steps that a close packing model is built based on obtained simulated lunar soil particle size distribution information, and an improved simulated lunar soil gradation model is built based on the close packing model; determining an objective function based on the obtained real lunar soil particle size distribution information and the improved simulated lunar soil grading model, determining constraint conditions of the objective function, and performing iterative optimization on unknown parameters in the objective function by adopting a least square method based on the objective function and the constraint conditions to obtain a target simulated lunar soil grading model. The high-fidelity simulated lunar soil is designed based on the target simulated lunar soil grading model, so that the particle size distribution difference between the simulated lunar soil and the real lunar soil under the multi-mineral raw material composition is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of simulated lunar soil preparation, and in particular to a simulated lunar soil grading design method, device, equipment and medium. Background Art

[0002] In order to achieve the goals of the lunar exploration mission, a large number of simulation tests need to be carried out on the ground. The design and preparation of high-fidelity simulated lunar soil is an important basis for conducting lunar exploration-related experiments. The physical and chemical properties of simulated lunar soil have a direct impact on the design and manufacture of lunar probes, as well as the research on in-situ construction projects on the lunar surface. Among them, the particle grading characteristics are one of the key factors that determine the performance of simulated lunar soil.

[0003] Screening, curve fitting and other methods are mainly used to control the grading of simulated lunar soil, which can guide the preparation of simulated lunar soil to a certain extent, but there are still some shortcomings: on the one hand, these methods are mainly aimed at homogeneous material systems with a single or small number of components. For multi-component heterogeneous lunar soil systems, their applicability and accuracy need to be improved; on the other hand, the simulated lunar soil obtained by traditional methods has large differences in fine particle grading from the real lunar soil, which makes it difficult to fully meet the requirements of high-fidelity simulation. Summary of the invention

[0004] In view of this, it is necessary to provide a simulated lunar soil grading design method, device, equipment and medium to solve the technical problems of few components when configuring simulated lunar soil and large differences in fine particle grading between simulated lunar soil and real lunar soil.

[0005] In order to solve the above problems, the present invention provides a method for designing simulated lunar soil gradation, comprising: Constructing a close-packed model based on the obtained simulated lunar soil particle size distribution information, and constructing an improved simulated lunar soil gradation model based on the close-packed model; Determining the objective function based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil gradation model; Determining the constraint conditions of the objective function, and based on the objective function and the constraint conditions, using the least square method to iteratively optimize the unknown parameters of the objective function to obtain a target simulated lunar soil gradation model; A high-fidelity simulated lunar soil is designed based on the target simulated lunar soil grading model.

[0006] In a possible implementation, the simulated lunar soil is composed of mineral raw materials of different chemical components; and the step of constructing a compact packing model based on the acquired simulated lunar soil particle size distribution information includes: Using high-fidelity simulated lunar soil as a matrix, determining the mineral raw material components of the simulated lunar soil; Using a laser particle size analyzer to measure the mineral raw materials of the simulated lunar soil to obtain simulated lunar soil particle size distribution information, wherein the simulated lunar soil particle size distribution information includes cumulative volume percentages at different screening particle sizes; A compact packing model is constructed based on the simulated lunar soil particle size distribution information.

[0007] In a possible implementation, the calculation formula of the close packing model is: , in, is the cumulative volume percentage of particles in the simulated lunar soil mixture. is the current calculated particle size, To simulate the minimum particle size of the lunar soil mixture, To simulate the maximum particle size of the lunar soil mixture, is the distribution coefficient.

[0008] In a possible implementation, an improved simulated lunar soil gradation model is constructed based on the close packing model and introduces a mineral raw material gradation correction coefficient; the calculation formula of the improved simulated lunar soil gradation model is: , in, The cumulative volume percentage of particles in the improved simulated lunar soil mixture is is the correction factor for the gradation of mineral raw materials, For the The volume percentage of mineral raw materials is is a constant.

[0009] In a possible implementation, the objective function is calculated as follows: , in, In order to calculate the particle size distribution error between the simulated lunar soil and the real lunar soil, is the particle size distribution function of the real lunar soil mixed material, To simulate the particle size distribution function of lunar soil mixed materials, is the differential symbol.

[0010] In a possible implementation, the constraint condition is calculated as follows: , in, It is the minimum difference in particle size distribution between the simulated lunar soil mixed material and the real lunar soil mixed material.

[0011] In a possible implementation, based on the objective function and the constraint conditions, the least square method is used to iteratively optimize the unknown parameters in the objective function to obtain the target simulated lunar soil gradation model, including: A threshold is preset, and based on the objective function and the constraint conditions, the least square method is used to iteratively calculate the unknown parameters in the objective function, and the particle size distribution error value between the simulated lunar soil mixed material and the real lunar soil is obtained in real time. When the change of the unknown parameter is less than the threshold, the iteration is stopped, and the particle size distribution error values ​​between the simulated lunar soil and the real lunar soil under different parameter combinations are compared. The parameter combination with the smallest particle size distribution error value is taken as the optimal solution to obtain the optimal grading design parameters of high-fidelity simulated lunar soil, wherein the unknown parameters include the volume proportions of multiple component mineral raw materials in the simulated lunar soil mixed material; Based on the optimal grading design parameters of the high-fidelity simulated lunar soil, a target simulated lunar soil grading model is obtained.

[0012] On the other hand, the present invention also provides a simulated lunar soil gradation design device, comprising: A gradation model construction module is used to construct a close-packed model based on the acquired simulated lunar soil particle size distribution information, and to construct an improved simulated lunar soil gradation model based on the close-packed model; An objective function determination module, used to determine the objective function based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil gradation model; An optimization module, used to determine the constraint conditions of the objective function, and based on the objective function and the constraint conditions, use the least square method to iteratively optimize the unknown parameters in the objective function to obtain a target simulated lunar soil gradation model; A high-fidelity simulated lunar soil design module is used to design high-fidelity simulated lunar soil based on the target simulated lunar soil gradation model.

[0013] In another aspect, the present invention further provides an electronic device, comprising: a processor and a memory; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps in the simulated lunar soil grading design method as described above are implemented.

[0014] On the other hand, the present invention also provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the simulated lunar soil grading design method as described above.

[0015] The beneficial effects of the present invention are: a tight packing model is constructed based on the acquired simulated lunar soil particle size distribution information, the multi-component characteristics of the lunar soil are taken into account, the objective function is determined based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil grading model, the difference in fine particle grading between the simulated lunar soil and the real lunar soil is taken into account, based on the objective function and constraints, the least squares method is used to iteratively optimize the unknown parameters in the objective function to obtain the target simulated lunar soil grading model, and a high-fidelity simulated lunar soil is designed based on the target simulated lunar soil grading model, which effectively reduces the difference in particle size distribution between the simulated lunar soil and the real lunar soil under the composition of multiple mineral raw materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of an embodiment of the simulated lunar soil gradation design method provided by the present invention; Figure 2 A schematic diagram showing the comparison of particle size distribution characteristics between the simulated lunar soil and the real lunar soil in the simulated lunar soil gradation design method provided by the present invention; Figure 3 A schematic diagram of the structure of an embodiment of the simulated lunar soil gradation design device provided by the present invention; Figure 4 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0018] The present invention discloses a method, device, equipment and medium for gradation design of simulated lunar soil, which can be used in a computer. The method, equipment or computer-readable storage medium involved in the present invention can be integrated with the above-mentioned equipment or can be relatively independent.

[0019] A specific embodiment of the present invention discloses a method for designing a simulated lunar soil gradation, which can be executed by a computer, specifically by one or more processors of the computer. Figure 1 is a flow chart of the simulated lunar soil gradation design method provided by the embodiment of the present invention, please refer to Figure 1 , simulated lunar soil gradation design method, including: S101, constructing a close-packed model based on the obtained simulated lunar soil particle size distribution information, and constructing an improved simulated lunar soil gradation model based on the close-packed model; S102, determining an objective function based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil gradation model; S103, determining the constraint conditions of the objective function, and based on the objective function and the constraint conditions, using the least square method to iteratively optimize the unknown parameters in the objective function to obtain a target simulated lunar soil gradation model; S104. Design high-fidelity simulated lunar soil based on the target simulated lunar soil grading model.

[0020] Among them, the simulated lunar soil is composed of mineral raw materials with different chemical compositions, and grading refers to combining mineral raw materials of different particle sizes in a certain proportion to achieve a higher degree of density.

[0021] Compared with the prior art, the simulated lunar soil grading design method provided in the present embodiment constructs a close-packed model based on the acquired simulated lunar soil particle size distribution information. The simulated lunar soil is composed of mineral raw materials of different chemical components. The multi-component characteristics of the lunar soil are taken into consideration. An improved simulated lunar soil grading model is constructed based on the close-packed model. The objective function is determined based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil grading model. The difference in fine particle grading between the simulated lunar soil and the real lunar soil is taken into consideration to determine the constraints of the objective function. Based on the objective function and the constraints, the least squares method is used to iteratively optimize the unknown parameters in the objective function to obtain the target simulated lunar soil grading model. A high-fidelity simulated lunar soil is designed based on the target simulated lunar soil grading model. By performing refined simulation design on the particle size distribution of simulated lunar soil particles under complex components and finely regulating the particle grading of the simulated lunar soil, a simulated material with highly similar physical and chemical properties to the real lunar soil is prepared, and the difference in particle size distribution between the simulated lunar soil and the real lunar soil under the composition of multiple mineral raw materials is effectively reduced.

[0022] In some embodiments, in step S110, the simulated lunar soil is composed of mineral raw materials of different chemical compositions, and a high-fidelity simulated lunar soil is used as a matrix to provide an experimental environment similar to the real lunar soil. The mineral raw material composition of the simulated lunar soil is determined, and the mineral raw materials of the simulated lunar soil are measured using a laser particle size analyzer to obtain the simulated lunar soil particle size distribution information, that is, to obtain the simulated lunar soil mixed material particle size screening information, wherein the simulated lunar soil particle size distribution information includes the cumulative volume percentage under different screening particle sizes, and a close packing model is constructed based on the simulated lunar soil particle size distribution information, that is, according to the improved Andreasen and Andersen model, a close packing model of the simulated lunar soil composed of mineral raw materials with different chemical compositions is established, and the calculation formula of the close packing model is: , in, is the cumulative volume percentage of particles in the simulated lunar soil mixture. is the current calculated particle size, To simulate the minimum particle size of the lunar soil mixture, To simulate the maximum particle size of the lunar soil mixture, is the distribution coefficient, The value range of is 0.2~0.6; An improved simulated lunar soil gradation model is constructed based on the compact packing model, and a correction coefficient of mineral raw materials is introduced. An improved simulated lunar soil gradation model is constructed based on the compact packing model, and the calculation formula of the improved simulated lunar soil gradation model is: , in, The cumulative volume percentage of particles in the improved simulated lunar soil mixture is is the correction factor for the gradation of mineral raw materials, For the The volume percentage of mineral raw materials is is a constant.

[0023] In some embodiments, in step S102, the reference real lunar soil particle size distribution information is obtained, and the objective function is determined based on the real lunar soil particle size distribution information and the improved simulated lunar soil grading model. The objective function is the particle size distribution error equation between the simulated lunar soil mixed material and the real lunar soil. After the objective function is constructed, the determination coefficient is used to judge the degree of fit. The determination coefficient close to 1 indicates a high degree of fit. The calculation formula of the objective function is: , in, In order to calculate the particle size distribution error between the simulated lunar soil and the real lunar soil, is the particle size distribution function of the real lunar soil mixed material, To simulate the particle size distribution function of lunar soil mixed materials, is the differential symbol.

[0024] In some embodiments, in step S103, the constraints of the objective function are determined, and based on the objective function and the constraints, the least squares method is used to iteratively optimize the unknown parameters in the objective function to obtain the target simulated lunar soil gradation model, and the least squares method calculation formula is: , The calculation formula of its constraint condition is: , in, is the minimum value of the difference in particle size distribution between the simulated lunar soil mixed material and the real lunar soil mixed material; Minimizing the difference between the ideal lunar soil and the real lunar soil particle size by giving constraints is a constrained calculation of the overall particle size distribution of the mixed material. Its constraints include at least: the sum of the volume proportions of the mineral raw materials of each component of the simulated lunar soil mixed material is 1, , that is, the final graded simulated lunar soil is composed of the selected raw materials; the volume proportion of each component mineral raw material in the simulated lunar soil mixed material All are greater than 0, that is, each raw material must be used; it is the relationship between the calculated simulated lunar soil particle size distribution curve and the ideal lunar soil particle size distribution curve; The process of iterative optimization of the unknown parameters in the objective function is as follows: preset a threshold, use the least squares method to iteratively calculate the unknown parameters in the objective function, and obtain the particle size distribution error value between the simulated lunar soil mixed material and the real lunar soil in real time. When the change of the unknown parameter is less than the threshold, stop the iteration, and compare the particle size distribution error values ​​between the simulated lunar soil and the real lunar soil under different parameter combinations. The parameter combination with the smallest particle size distribution error value is taken as the optimal solution, and finally the optimal grading design parameters for high-fidelity simulated lunar soil are obtained. Among them, the unknown parameters of the objective function include the volume proportion of each component mineral raw material in the simulated lunar soil mixed material. By adjusting the volume ratio of each component of the simulated lunar soil mixed material, the particle size distribution error between the simulated lunar soil and the real lunar soil under different material ratio combinations is iteratively calculated. When the change in the particle size distribution error is less than the threshold, the parameter combination with the smallest particle size distribution error between the simulated lunar soil and the real lunar soil is taken as the optimal solution, and finally the optimal combination of mineral raw material grading is determined. The design parameters of the high-fidelity simulated lunar soil gradation are the optimal mineral raw material gradation of the high-fidelity simulated lunar soil corresponding to the actual lunar soil particle size distribution, and its threshold is the maximum convergence tolerance. Based on the optimal grading design parameters of high-fidelity simulated lunar soil, the improved simulated lunar soil grading model is updated to obtain the target simulated lunar soil grading model.

[0025] In some embodiments, in step S104, a high-fidelity simulated lunar soil is designed based on a target simulated lunar soil grading model. That is, according to the target simulated lunar soil grading model, a high-fidelity simulated lunar soil is designed through refined preparation, which effectively reduces the difference in particle size distribution between the simulated lunar soil and the real lunar soil under the composition of multiple mineral raw materials.

[0026] In some embodiments, Matlab software is used to construct a correction model for the particle size distribution of simulated lunar soil mixed materials, construct an error equation for the particle size distribution of simulated lunar soil and reference real lunar soil, and iteratively optimize the gradation constraint range of multi-component mineral raw materials to obtain high-fidelity simulated lunar soil gradation design parameters. Taking the particle size distribution of real lunar soil brought back from the moon as an example, four minerals are used as raw materials for simulated lunar soil mixed materials. The distribution coefficient in the model is determined to be 0.5 in combination with the mineral particle size distribution. The percentage of the sieve residue of the real lunar soil is shown in Table 1. Table 1

[0027] Please refer to Table 2 for the percentage of screen residues of the four mineral raw materials used. Table 2

[0028] The gradation design was carried out using Matlab software. The raw materials for preparing the simulated lunar soil mixture were designed to be four mineral raw materials with different compositions. The proportions of the four mineral raw materials were 5% to 100%, and the total proportion of the four mineral raw materials was 100%. The lower limit constraint of the sieve residue of the mineral raw materials was determined based on the lower limit of the sieve residue of the real lunar soil. Based on the particle size distribution correction model of simulated lunar soil mixed materials, the particle size distribution characteristic error function of simulated lunar soil mixed materials and the reference real lunar soil is constructed, and the Matlab least squares calculation package is called to solve it. The maximum number of iterations of the algorithm is set to 100,000 times, and the maximum convergence tolerance is ; By solving the problem through the least square method, the optimal gradation is obtained, the proportion of mineral 1 is 30.00%, the proportion of mineral 2 is 5.00%, the proportion of mineral 3 is 60.00%, and the proportion of mineral 4 is 5.00%. The determination coefficient is 0.92. The schematic diagram of the comparison of the particle size distribution characteristics of the simulated lunar soil and the real lunar soil is shown in Figure 2 .

[0029] In order to better implement the simulated lunar soil gradation design method in the embodiment of the present invention, based on the simulated lunar soil gradation design method, correspondingly, Figure 3 As shown, the embodiment of the present invention further provides a simulated lunar soil gradation design device, and the simulated lunar soil gradation design device 300 includes: The gradation model construction module 301 is used to construct a close-packed model based on the obtained simulated lunar soil particle size distribution information, and to construct an improved simulated lunar soil gradation model based on the close-packed model; The error equation construction module 302 is used to determine the objective function based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil gradation model; The constraint range determination module 303 is used to determine the constraint conditions of the objective function, and based on the objective function and the constraint conditions, the least square method is used to iteratively optimize the unknown parameters in the objective function to obtain the target simulated lunar soil gradation model; The gradation design parameter acquisition module 304 is used to design high-fidelity simulated lunar soil based on the target simulated lunar soil gradation model.

[0030] like Figure 4As shown, based on the simulated lunar soil gradation design method, the present invention also provides an electronic device 400, which can be a computing device such as a mobile terminal, a desktop computer, a notebook, a palm computer, and a server. The electronic device 400 includes a processor 401, a memory 402, and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0031] In some embodiments, the memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or memory of the electronic device 400. In other embodiments, the memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 400. Further, the memory 402 may also include both an internal storage unit and an external storage device of the electronic device 400. The memory 402 is used to store application software and various data installed in the electronic device 400, such as program codes installed in the electronic device 400. The memory 402 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 402 stores a simulated lunar soil gradation design program, which can be executed by the processor 401, thereby realizing the simulated lunar soil gradation design method of each embodiment of the present invention.

[0032] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 402, such as simulating a lunar soil grading design method.

[0033] In some embodiments, the display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 403 is used to display the identification information of the simulated lunar soil gradation design program and to display a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.

[0034] In some embodiments, when the processor 401 executes the simulated lunar soil grading design program in the memory 402, the various steps in the simulated lunar soil grading design method described in the above embodiments are implemented. Since the simulated lunar soil grading design method has been described in detail above, it will not be repeated here.

[0035] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions in the simulated lunar soil grading design method provided in the above-mentioned method embodiments.

[0036] In summary, the simulated lunar soil grading design method, device, equipment and medium provided by the present invention construct a tight packing model based on the acquired simulated lunar soil particle size distribution information, and construct an improved simulated lunar soil grading model based on the tight packing model; determine the objective function based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil grading model, determine the constraints of the objective function, and based on the objective function and the constraints, use the least squares method to iteratively optimize the unknown parameters in the objective function to obtain the target simulated lunar soil grading model; design a high-fidelity simulated lunar soil based on the target simulated lunar soil grading model, and effectively reduce the difference in particle size distribution between the simulated lunar soil and the real lunar soil under the composition of multiple mineral raw materials.

[0037] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0038] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for designing simulated lunar soil gradation, characterized in that: include: Constructing a close-packed model based on the obtained simulated lunar soil particle size distribution information, and constructing an improved simulated lunar soil gradation model based on the close-packed model; Determining the objective function based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil gradation model; Determining the constraint conditions of the objective function, and based on the objective function and the constraint conditions, using the least square method to iteratively optimize the unknown parameters in the objective function to obtain a target simulated lunar soil gradation model; A high-fidelity simulated lunar soil is designed based on the target simulated lunar soil grading model.

2. The simulated lunar soil gradation design method according to claim 1, characterized in that: The simulated lunar soil is composed of mineral raw materials of different chemical components; the dense packing model is constructed based on the obtained simulated lunar soil particle size distribution information, including: Using high-fidelity simulated lunar soil as a matrix, determining the mineral raw material components of the simulated lunar soil; Using a laser particle size analyzer to measure the mineral raw materials of the simulated lunar soil to obtain simulated lunar soil particle size distribution information, wherein the simulated lunar soil particle size distribution information includes cumulative volume percentages at different screening particle sizes; A compact packing model is constructed based on the simulated lunar soil particle size distribution information.

3. The simulated lunar soil gradation design method according to claim 2, characterized in that: The calculation formula of the close packing model is: ， in, is the cumulative volume percentage of particles in the simulated lunar soil mixture. is the current calculated particle size, To simulate the minimum particle size of the lunar soil mixture, To simulate the maximum particle size of the lunar soil mixture, is the distribution coefficient.

4. The simulated lunar soil gradation design method according to claim 3, characterized in that: Based on the compact packing model, an improved simulated lunar soil gradation model is constructed by introducing the mineral raw material gradation correction coefficient; the calculation formula of the improved simulated lunar soil gradation model is: ， in, The cumulative volume percentage of particles in the improved simulated lunar soil mixture is is the correction factor for the gradation of mineral raw materials, For the The volume percentage of mineral raw materials is is a constant.

5. The simulated lunar soil gradation design method according to claim 3, characterized in that: The calculation formula of the objective function is: ， in, In order to calculate the particle size distribution error between the simulated lunar soil and the real lunar soil, is the particle size distribution function of the real lunar soil mixed material, To simulate the particle size distribution function of lunar soil mixed materials, is the differential symbol.

6. The simulated lunar soil gradation design method according to claim 5, characterized in that: The calculation formula of the constraint condition is: ， in, It is the minimum difference in particle size distribution between the simulated lunar soil mixed material and the real lunar soil mixed material.

7. The simulated lunar soil gradation design method according to claim 6, characterized in that: The method of iteratively optimizing the unknown parameters in the objective function using the least square method based on the objective function and the constraint conditions to obtain the target simulated lunar soil gradation model includes: A threshold is preset, and based on the objective function and the constraint conditions, the least square method is used to iteratively calculate the unknown parameters in the objective function, and the particle size distribution error value between the simulated lunar soil mixed material and the real lunar soil is obtained in real time. When the change of the unknown parameter is less than the threshold, the iteration is stopped, and the particle size distribution error values ​​between the simulated lunar soil and the real lunar soil under different parameter combinations are compared. The parameter combination with the smallest particle size distribution error value is taken as the optimal solution to obtain the optimal grading design parameters of high-fidelity simulated lunar soil, wherein the unknown parameters include the volume proportion of each component mineral raw material in the simulated lunar soil mixed material; Based on the optimal grading design parameters of the high-fidelity simulated lunar soil, a target simulated lunar soil grading model is obtained.

8. A device for designing simulated lunar soil gradation, characterized in that: include: A gradation model construction module is used to construct a close-packed model based on the acquired simulated lunar soil particle size distribution information, and to construct an improved simulated lunar soil gradation model based on the close-packed model; An objective function determination module, used to determine the objective function based on the acquired real lunar soil particle size distribution information and the improved simulated lunar soil gradation model; An optimization module, used to determine the constraint conditions of the objective function, and based on the objective function and the constraint conditions, use the least square method to iteratively optimize the unknown parameters in the objective function to obtain a target simulated lunar soil gradation model; A high-fidelity simulated lunar soil design module is used to design high-fidelity simulated lunar soil based on the target simulated lunar soil gradation model.

9. An electronic device, characterized in that: including memory and processor; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps in the simulated lunar soil grading design method as described in any one of claims 1-7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the simulated lunar soil grading design method as described in any one of claims 1-7.

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