Method and apparatus for constructing a plasma flow field distribution model

Abstract

This invention relates to the field of plasma technology, and particularly to a method and apparatus for constructing a volume distribution model of a plasma flow field. The method includes: determining the enclosing space of the plasma flow field based on the position coordinates of each data point; dividing the enclosing space into multiple three-dimensional grids; dividing the enclosing space into several cells based on the position coordinates of each data point; each cell consisting of a preset number of data points; and assigning values ​​to the current three-dimensional grid according to the positional relationship between each grid and the cells to obtain a volume distribution model of the plasma flow field. In this method, the parameter values ​​of each three-dimensional grid represent the parameter values ​​of the plasma within that grid. Therefore, after each three-dimensional grid is assigned a value, a uniformly distributed volume distribution model of the plasma flow field can be obtained. This method has high computational efficiency and a wide range of applications.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of plasma technology, and in particular to a method and apparatus for constructing a plasma flow field distribution model. Background Technology

[0002] When a moving target flies at high speed, it experiences intense friction with the surrounding atmosphere, causing air ionization and generating plasma, which forms a plasma flow field surrounding the target. This plasma flow field interferes with incident radar waves, affecting the target's electromagnetic scattering characteristics. Therefore, when analyzing the electromagnetic scattering characteristics of high-speed moving targets, the electromagnetic properties of the plasma flow field must be taken into account. This requires obtaining a volume distribution model of the plasma flow field, which is fundamental for accurately calculating its electromagnetic properties.

[0003] In related technologies, interpolation methods are commonly used to construct volume distribution models of plasma flow fields, but this method has low computational efficiency and limited applicability.

[0004] Therefore, there is an urgent need for a method and apparatus for constructing a plasma flow field distribution model to solve the above-mentioned technical problems. Summary of the Invention

[0005] This invention provides a method and apparatus for constructing a plasma flow field distribution model, which has high computational efficiency and wide applicability.

[0006] In a first aspect, embodiments of the present invention provide a method for constructing a plasma flow field distribution model, comprising:

[0007] Based on the position coordinates of each data point in the plasma flow field to be analyzed, the enclosing space of the plasma flow field is determined.

[0008] The enclosing space is divided into multiple three-dimensional grids;

[0009] Based on the position coordinates of each data point, the bounding volume space is divided into several cells; each cell consists of a preset number of data points.

[0010] Based on the positional relationship between each of the three-dimensional grids and the cells, the current three-dimensional grid is assigned a value to obtain the volume distribution model of the plasma flow field.

[0011] In one possible design, determining the enclosing space of the plasma flow field based on the position coordinates of each data point of the plasma flow field to be analyzed includes:

[0012] Determine the maximum and minimum coordinate data points among all data points; wherein, the coordinates of the maximum coordinate data point are the maximum values ​​among all data points, and the coordinates of the minimum coordinate data point are the minimum values ​​among all data points;

[0013] Using the maximum and minimum coordinate data points as diagonals, a target cuboid is determined, and the target cuboid is used as the enclosing space of the plasma flow field.

[0014] In one possible design, the preset number is eight;

[0015] The process of dividing the bounding volume space into several cells based on the position coordinates of each data point includes:

[0016] Based on the position coordinates of each data point, the hexahedron formed by eight adjacent data points is divided into several cells according to a preset arrangement order.

[0017] In one possible design, the parameters of each data point include the electron density and resonant frequency of the plasma at its location;

[0018] Assigning values ​​to the current 3D mesh based on the positional relationship between each 3D mesh and the cell includes:

[0019] Traverse the aforementioned 3D mesh;

[0020] For each 3D mesh encountered during the traversal, execute:

[0021] Determine whether the center point of the current 3D mesh is inside a certain cell;

[0022] If so, the parameters of that cell are used as the parameters of the current 3D mesh; the parameters of that cell are the average of the parameters of each data point that makes up that cell.

[0023] If not, then set the parameter of the current 3D mesh to 0.

[0024] In one possible design, determining whether the center point of the current 3D mesh is within a certain cell includes:

[0025] Determine a ray originating from the center point of the current 3D mesh. If the ray intersects a cell at exactly one point, then the center point of the current 3D mesh is determined to be within that cell.

[0026] In one possible design, the three-dimensional mesh is a cubic mesh.

[0027] In one possible design, the side length of the cubic grid is one-twentieth of the incident wavelength.

[0028] Secondly, embodiments of the present invention also provide an apparatus for constructing a plasma flow field distribution model, comprising:

[0029] The determination module is used to determine the enclosing space of the plasma flow field based on the position coordinates of each data point of the plasma flow field to be analyzed.

[0030] The first partitioning module is used to divide the enclosing volume space into multiple three-dimensional grids;

[0031] The second partitioning module is used to divide the bounding volume space into several cells based on the position coordinates of each data point; each cell is composed of a preset number of data points.

[0032] The assignment module is used to assign values ​​to the current three-dimensional grid according to the positional relationship between each three-dimensional grid and the cell, so as to obtain the volume distribution model of the plasma flow field.

[0033] Thirdly, embodiments of the present invention also provide an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the method described in any embodiment of this specification.

[0034] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the methods described in any embodiment of this specification.

[0035] This invention provides a method and apparatus for constructing a volume distribution model of a plasma flow field. Since the distribution of data points in a plasma flow field is non-uniform, directly characterizing the volume distribution of the plasma flow field using the distribution of data points is inaccurate. Therefore, this method first determines the enclosing volume space of the plasma flow field based on the position coordinates of each data point; then, it divides this enclosing volume space into multiple uniformly distributed three-dimensional grids; next, based on the position coordinates of each data point, it divides the enclosing volume space into several cells; each cell consists of a preset number of data points; finally, according to the positional relationship between each three-dimensional grid and the cells, values ​​are assigned to the current three-dimensional grid. The parameter values ​​of each three-dimensional grid represent the parameter values ​​of the plasma within that grid. Since the three-dimensional grids are uniformly distributed, once each grid is assigned a value, a uniformly distributed volume distribution model of the plasma flow field can be obtained. This method has high computational efficiency and is applicable to two-dimensional targets, three-dimensional targets, and irregular targets, with a wide range of applications. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart of a method for constructing a plasma flow field distribution model according to an embodiment of the present invention;

[0038] Figure 2 This is a schematic diagram of the data point distribution of the plasma flow field in the XY section of a spherical column according to an embodiment of the present invention;

[0039] Figure 3 This is a schematic diagram of the division of a flow field cell according to an embodiment of the present invention;

[0040] Figure 4 This is a schematic diagram showing the relationship between the center point of a three-dimensional mesh and the position of its cells, provided in an embodiment of the present invention.

[0041] Figure 5 This is a hardware architecture diagram of an electronic device provided in an embodiment of the present invention;

[0042] Figure 6 This is a structural diagram of a device for constructing a plasma flow field distribution model according to an embodiment of the present invention. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0044] Related techniques typically use interpolation to convert non-uniformly distributed flow field data into uniformly distributed flow field data. However, interpolation methods are computationally inefficient and are usually only applicable to two-dimensional problems or rotationally symmetric targets.

[0045] Based on this, the inventors proposed a method to obtain a volume distribution model of a uniformly distributed plasma flow field by dividing the plasma flow field into grids and then assigning values ​​to each grid, thereby improving computational efficiency and applicability.

[0046] The following describes the specific implementation of the above concept.

[0047] Please refer to Figure 1 This invention provides a method for constructing a plasma flow field distribution model, the method comprising:

[0048] Step 100: Based on the position coordinates of each data point of the plasma flow field to be analyzed, determine the enclosing space of the plasma flow field.

[0049] Step 102: Divide the enclosing space into multiple three-dimensional grids;

[0050] Step 104: Based on the position coordinates of each data point, divide the bounding volume space into several cells; each cell consists of a preset number of data points.

[0051] Step 106: Assign values ​​to the current 3D grid based on the positional relationship between each 3D grid and the cell to obtain the volume distribution model of the plasma flow field.

[0052] In this embodiment of the invention, firstly, the enclosing volume space of the plasma flow field is determined based on the position coordinates of each data point of the plasma flow field to be analyzed; then, the enclosing volume space is divided into multiple uniformly distributed three-dimensional grids; next, based on the position coordinates of each data point, the enclosing volume space is divided into several cells; each cell consists of a preset number of data points; finally, the current three-dimensional grid is assigned values ​​according to the positional relationship between each three-dimensional grid and the cells. The parameter values ​​of each three-dimensional grid represent the parameter values ​​of the plasma within that grid. Since the three-dimensional grids are uniformly distributed, once each grid is assigned a value, a volume distribution model of the uniformly distributed plasma flow field can be obtained. This method has high computational efficiency and is applicable to two-dimensional targets, three-dimensional targets, and irregular targets, with a wide range of applications.

[0053] The following description Figure 1 The execution method of each step is shown.

[0054] First, for step 100, the enclosing space of the plasma flow field is determined based on the position coordinates of each data point of the plasma flow field to be analyzed.

[0055] In this step, the distribution of data points in the plasma flow field is obtained through simulation calculations. Because the energy change rate of the plasma varies at different locations within the flow field, the distribution of data points is non-uniform. For example... Figure 2The figure shows a schematic diagram of the data point distribution of the plasma flow field in the XY section of the spherical column. It can be seen from the figure that the data points are denser near the windward side of the plasma flow field, and become sparser further away from the windward side. Therefore, the distribution of each data point cannot be directly used to characterize the volume distribution of the plasma flow field; instead, data processing is required to obtain a uniformly distributed volume distribution of the plasma flow field.

[0056] In some implementations, step 100 includes:

[0057] Determine the maximum and minimum coordinate data points among all data points; where the coordinates of the maximum coordinate data point are the maximum values ​​among all data points, and the coordinates of the minimum coordinate data point are the minimum values ​​among all data points.

[0058] Using the maximum and minimum coordinate data points as diagonals, the target cuboid is determined, and the target cuboid is used as the enclosing space of the plasma flow field.

[0059] The bounding space determined in this way is the minimum bounding space, and the region outside this bounding space has little research value. Therefore, by determining the minimum bounding space, computational resources can be greatly saved and computational efficiency improved while ensuring computational accuracy. Figure 2 As shown, the area within the dashed box represents the minimum enclosing space boundary of the plasma flow field. Rotating this boundary 360 degrees gives the minimum enclosing volume space.

[0060] In some other embodiments, step 100 may further include:

[0061] Determine the maximum and minimum coordinate data points among all data points; where the coordinates of the maximum coordinate data point are the maximum values ​​among all data points, and the coordinates of the minimum coordinate data point are the minimum values ​​among all data points.

[0062] The target cuboid is determined by using the maximum and minimum coordinate data points as diagonals;

[0063] A second bounding volume is defined within the target cuboid, which further narrows the computational scope. Users can determine the specific dimensions of the bounding volume as needed.

[0064] Next, for step 102, the enclosing volume space is divided into multiple three-dimensional grids.

[0065] Since the data points within the enclosing space are not uniformly distributed, while in reality the plasma fills the entire enclosing space, it is necessary to divide the enclosing space into multiple uniformly distributed three-dimensional grids. Thus, by assigning values ​​to each three-dimensional grid, i.e., assigning values ​​to the plasma parameters within each three-dimensional grid, a uniformly distributed plasma flow field distribution model can be obtained.

[0066] In some embodiments, the three-dimensional mesh is a cubic mesh, i.e., a hexahedral mesh, and the side length of the cubic mesh is one-twentieth of the incident wavelength. This not only reduces the number of meshes and saves computation time, but also provides higher computational accuracy. Of course, users can also use tetrahedral meshes; this application does not make a specific limitation.

[0067] Next, for step 104, based on the position coordinates of each data point, the bounding volume space is divided into several cells; each cell consists of a preset number of data points.

[0068] from Figure 2 It can be seen that the flow field data points are denser near the windward side and sparser further away from the windward side. Therefore, when the side length of the cubic mesh into which the plasma flow field is divided is small, there may be situations where there are no flow field data points within the cubic mesh in regions far from the windward side. Therefore, it is necessary to divide the data into cells and assign values ​​to each cubic mesh.

[0069] In some implementations, the preset number is eight, that is, eight data points form one cell;

[0070] Based on the position coordinates of each data point, the bounding volume space is divided into several cells, including:

[0071] Based on the position coordinates of each data point, the hexahedron formed by eight adjacent data points is arranged in a preset order as a cell, so as to divide the enclosing volume space into several cells.

[0072] In this embodiment, the plasma flow field data point set is constructed according to the target shape, consisting of a set of curves arranged regularly along the flow direction and its normal direction. Let these directions be i, j, and k, then the point set can be represented as P(i, j, k). The preset arrangement order is such that, in a three-dimensional coordinate system, points are taken in each direction by gradually increasing coordinates, thus treating each hexahedron composed of eight adjacent data points as a single cell. For example... Figure 3The diagram shows a flow field cell partitioning diagram. In this diagram, the data points of each cell are numbered as (i, j, k), (i+1, j, k), (i+1, j+1, k), (i+1, j, k+1), (i+1, j+1, k+1), (i, j+1, k), (i, j, k+1), (i, j+1, k+1).

[0073] It should be noted that the preset number of eight is only a preferred method. Users can also choose six, that is, six data points form a cell. This application does not make a specific limitation.

[0074] Finally, for step 106, the parameters for each data point include the electron density and resonant frequency of the plasma at its location.

[0075] Based on the positional relationship between each 3D grid and the cell, values ​​are assigned to the current 3D grid to obtain the volume distribution model of the plasma flow field, including:

[0076] Traverse the 3D mesh;

[0077] For each 3D mesh encountered during the traversal, execute:

[0078] Determine whether the center point of the current 3D mesh is inside a certain cell;

[0079] If so, the parameters of that cell are used as the parameters of the current 3D mesh; the parameters of that cell are the average of the parameters of each data point that makes up that cell.

[0080] If not, then set the parameter of the current 3D mesh to 0.

[0081] like Figure 4 The diagram shows the relationship between the center point of a 3D mesh and the position of its cells. It can be seen from the diagram that if the center point 1 of a certain 3D mesh is inside cell A, then the parameters of cell A are assigned to this 3D mesh. Furthermore, from... Figure 2 It can be seen that the data points are denser near the windward side of the flow field, and become sparser further away from the windward side. Therefore, it is possible that the center points of multiple 3D grids are all within a single cell, and the parameter values ​​of these 3D grids are all adopted from the parameter values ​​of that single cell.

[0082] In some implementations, determining whether the center point of the current 3D mesh is within a certain cell includes:

[0083] Determine a ray originating from the center point of the current 3D mesh. If the ray intersects a cell at exactly one point, then the center point of the current 3D mesh is determined to be within that cell.

[0084] This method establishes a correspondence between each 3D grid and a unique cell, thus ensuring the accuracy of the assignment.

[0085] like Figure 5 , Figure 6 As shown, this embodiment of the invention provides a device for constructing a plasma flow field distribution model. The device embodiment can be implemented through software, hardware, or a combination of both. From a hardware perspective, as... Figure 5 The diagram shown is a hardware architecture diagram of an electronic device containing a plasma flow field distribution model construction device provided in an embodiment of the present invention, except for... Figure 5 In addition to the processor, memory, network interface, and non-volatile memory shown, the electronic device in the embodiment may also include other hardware, such as a forwarding chip responsible for processing packets. Taking software implementation as an example, such as... Figure 6 As shown, a device in a logical sense is formed by the CPU of the electronic device in which it is located reading the corresponding computer program from the non-volatile memory into the memory for execution.

[0086] This embodiment provides a device for constructing a plasma flow field distribution model, comprising:

[0087] The determination module 600 is used to determine the enclosing space of the plasma flow field based on the position coordinates of each data point of the plasma flow field to be analyzed.

[0088] The first partitioning module 602 is used to divide the bounding volume space into multiple three-dimensional meshes;

[0089] The second partitioning module 604 is used to divide the bounding volume space into several cells based on the position coordinates of each data point; each cell consists of a preset number of data points.

[0090] The assignment module 606 is used to assign values ​​to the current three-dimensional mesh according to the positional relationship between each three-dimensional mesh and the cell, so as to obtain the volume distribution model of the plasma flow field.

[0091] In this embodiment of the invention, the determining module 600 can be used to execute step 102 in the above method embodiment, the first dividing module 602 can be used to execute step 102 in the above method embodiment, the second dividing module 604 can be used to execute step 104 in the above method embodiment, and the assigning module 606 can be used to execute step 106 in the above method embodiment.

[0092] In some implementations, the determination module 600 is used to perform:

[0093] Determine the maximum and minimum coordinate data points among all data points; where the coordinates of the maximum coordinate data point are the maximum values ​​among all data points, and the coordinates of the minimum coordinate data point are the minimum values ​​among all data points.

[0094] Using the maximum and minimum coordinate data points as diagonals, the target cuboid is determined, and the target cuboid is used as the enclosing space of the plasma flow field.

[0095] In some implementations, the three-dimensional mesh is a cubic mesh.

[0096] In some implementations, the side length of the cubic grid is one-twentieth of the incident wavelength.

[0097] In some implementations, the preset number is eight, and the second partitioning module 604 is used to perform:

[0098] Based on the position coordinates of each data point, the bounding volume space is divided into several cells, including:

[0099] Based on the position coordinates of each data point, the hexahedron formed by eight adjacent data points is arranged in a preset order as a cell, so as to divide the enclosing volume space into several cells.

[0100] In some implementations, the parameters for each data point include the electron density and resonant frequency of the plasma at its location, which the assignment module 606 performs:

[0101] Traverse the 3D mesh;

[0102] For each 3D mesh encountered during the traversal, execute:

[0103] Determine whether the center point of the current 3D mesh is inside a certain cell;

[0104] If so, the parameters of that cell are used as the parameters of the current 3D mesh; the parameters of that cell are the average of the parameters of each data point that makes up that cell.

[0105] If not, then set the parameter of the current 3D mesh to 0.

[0106] In some implementations, determining whether the center point of the current 3D mesh is within a certain cell includes:

[0107] Determine a ray originating from the center point of the current 3D mesh. If the ray intersects a cell at exactly one point, then the center point of the current 3D mesh is determined to be within that cell.

[0108] It is understood that the structures illustrated in the embodiments of the present invention do not constitute a specific limitation on the apparatus for constructing a plasma flow field distribution model. In other embodiments of the present invention, an apparatus for constructing a plasma flow field distribution model may include more or fewer components than illustrated, or combine some components, or split some components, or arrange different components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0109] The information interaction and execution process between the modules in the above-mentioned device are based on the same concept as the method embodiment of the present invention, and the specific details can be found in the description of the method embodiment of the present invention, and will not be repeated here.

[0110] This invention also provides an electronic device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements a method for constructing a plasma flow field distribution model according to any embodiment of this invention.

[0111] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program causes the processor to perform a method for constructing a plasma flow field distribution model according to any embodiment of this invention.

[0112] Specifically, a system or apparatus equipped with a storage medium may be provided, on which software program code implementing the functions of any of the embodiments described above is stored, and the computer (or CPU or MPU) of the system or apparatus may read and execute the program code stored in the storage medium.

[0113] In this case, the program code read from the storage medium can itself implement the function of any of the above embodiments, and therefore the program code and the storage medium storing the program code constitute part of the present invention.

[0114] Examples of storage media used to provide program code include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, program code can be downloaded from a server computer via a communication network.

[0115] Furthermore, it should be clear that not only can the program code read by the computer be executed, but also the operating system or other components operating on the computer can be instructed based on the program code to perform some or all of the actual operations, thereby realizing the function of any of the embodiments described above.

[0116] Furthermore, it is understood that the program code read from the storage medium is written to the memory set in the expansion board inserted into the computer or to the memory set in the expansion module connected to the computer. Then, based on the instructions of the program code, the CPU or other components installed on the expansion board or expansion module execute some and all of the actual operations, thereby realizing the function of any of the above embodiments.

[0117] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0118] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a plasma flow field distribution model, characterized in that, include: Based on the position coordinates of each data point in the plasma flow field to be analyzed, the enclosing space of the plasma flow field is determined. The enclosing space is divided into multiple three-dimensional grids; Based on the position coordinates of each data point, the bounding volume space is divided into several cells; each cell consists of a preset number of data points. Based on the positional relationship between each of the three-dimensional grids and the cells, the current three-dimensional grid is assigned a value to obtain the volume distribution model of the plasma flow field; The preset number is eight; The process of dividing the bounding volume space into several cells based on the position coordinates of each data point includes: Based on the position coordinates of each data point, the hexahedron formed by eight adjacent data points is divided into several cells according to a preset arrangement order. The parameters for each data point include the electron density and resonant frequency of the plasma at its location; Assigning values ​​to the current 3D mesh based on the positional relationship between each 3D mesh and the cell includes: Traverse the aforementioned 3D mesh; For each 3D mesh encountered during the traversal, execute: Determine whether the center point of the current 3D mesh is inside a certain cell; If so, the parameters of that cell are used as the parameters of the current 3D mesh; the parameters of that cell are the average of the parameters of each data point that makes up that cell. If not, then set the parameter of the current 3D mesh to 0.

2. The method according to claim 1, characterized in that, The determination of the enclosing space of the plasma flow field based on the position coordinates of each data point of the plasma flow field to be analyzed includes: Determine the maximum and minimum coordinate data points among all data points; wherein, the coordinates of the maximum coordinate data point are the maximum values ​​among all data points, and the coordinates of the minimum coordinate data point are the minimum values ​​among all data points; Using the maximum and minimum coordinate data points as diagonals, a target cuboid is determined, and the target cuboid is used as the enclosing space of the plasma flow field.

3. The method according to claim 1, characterized in that, The determination of whether the center point of the current 3D mesh is within a certain cell includes: Determine a ray originating from the center point of the current 3D mesh. If the ray intersects a cell at exactly one point, then the center point of the current 3D mesh is determined to be within that cell.

4. The construction method according to claim 1, characterized in that, The three-dimensional grid is a cubic grid.

5. The method according to claim 4, characterized in that, The side length of the cubic grid is one-twentieth of the incident wavelength.

6. A device for constructing a plasma flow field distribution model, characterized in that, include: The determination module is used to determine the enclosing space of the plasma flow field based on the position coordinates of each data point of the plasma flow field to be analyzed. The first partitioning module is used to divide the enclosing volume space into multiple three-dimensional grids; The second partitioning module is used to divide the bounding volume space into several cells based on the position coordinates of each data point; each cell is composed of a preset number of data points. The assignment module is used to assign values ​​to the current three-dimensional mesh according to the positional relationship between each three-dimensional mesh and the cell, so as to obtain the volume distribution model of the plasma flow field; The preset number is eight; The process of dividing the bounding volume space into several cells based on the position coordinates of each data point includes: Based on the position coordinates of each data point, the hexahedron formed by eight adjacent data points is divided into several cells according to a preset arrangement order. The parameters for each data point include the electron density and resonant frequency of the plasma at its location; Assigning values ​​to the current 3D mesh based on the positional relationship between each 3D mesh and the cell includes: Traverse the aforementioned 3D mesh; For each 3D mesh encountered during the traversal, execute: Determine whether the center point of the current 3D mesh is inside a certain cell; If so, the parameters of that cell are used as the parameters of the current 3D mesh; the parameters of that cell are the average of the parameters of each data point that makes up that cell. If not, then set the parameter of the current 3D mesh to 0.

7. A computing device comprising a memory and a processor, wherein the memory stores a computer program, and the processor, when executing the computer program, implements the method as described in any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the method of any one of claims 1-5.

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