Parameter-adaptive transformer winding grid model construction method and device
By measuring the surface parameters of transformer windings, calculating the normal curvature to determine the node density, and dividing the contour lines, the problem of uneven mesh distribution was solved, and efficient sharing and adaptive improvement of the mesh model library were achieved.
Patent Information
- Application Number
- CN202511245694.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-02
- Publication Date
- 2025-12-12
AI Technical Summary
The uneven mesh distribution and poor adaptability in transformer winding mesh modeling result in low computational efficiency, low accuracy, and difficulty in sharing across different software and hardware environments.
By measuring the surface parameters of the transformer windings, calculating the normal curvature to determine the node density, dividing the contour lines to form a regional boundary chain, connecting the boundary points to generate sub-regions, integrating the curved surface and planar mesh structures, constructing a mesh model, and updating the mesh model library.
The mesh density distribution has been optimized, improving the representativeness and adaptability of the mesh model library and enhancing loading and processing efficiency in different software and hardware environments.
Smart Images
Figure CN121120990A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of digital modeling, and in particular to a parameter adaptive transformer winding grid model construction method and device. BACKGROUND
[0002] A parameterized model is a mathematical model or geometric model that defines shape and features through a set of adjustable parameters. Its core parameters include control points, weights, and node vectors, which can accurately control the geometric properties of the model (such as size, shape, proportion, position, rotation, curvature, etc.), enabling flexible adjustment and deformation of the model. Essentially, this model maps the properties (such as material, structure), state performance (such as stress, temperature), functions and behaviors of physical entities to the virtual world, thereby constructing a high-fidelity, dynamic multi-dimensional digital twin model. This mapping method not only preserves the precise geometric features of physical objects, but also supports parameter-driven dynamic simulation and optimization.
[0003] In some cases, there are problems of uneven grid distribution and poor adaptability in transformer winding grid modeling. There is a lack of parameterized control means, and the grid density distribution is unreasonable, resulting in some models with high complexity and large data volume, and some models with small data volume but low grid purpose, which is not representative. This affects the calculation efficiency and accuracy, and the network model is difficult to adapt to different software and hardware environments, making it difficult to share. SUMMARY
[0004] The purpose of the present application is to provide a parameter adaptive transformer winding grid model construction method and device, which can optimize the distribution of grid density, improve the representativeness of the grid model library, improve the adaptability and sharing efficiency of the grid model, and facilitate loading and processing in different software and hardware environments.
[0005] To achieve the above purpose, the present application provides the following solutions:
[0006] In a first aspect, this application provides a parameter-adaptive transformer winding mesh model construction method, the method comprising: measuring the surface parameters of a target transformer winding; the target transformer winding having a cylindrical shell structure; the surface of the target transformer winding including curved surfaces and planes; the curved surface being a surface in the target transformer winding with non-zero curvature; the plane being a surface in the target transformer winding with zero curvature; for the curved surface, calculating the node density of the curved surface based on the normal curvature; dividing the curved surface into contour lines based on the node density; obtaining boundary points from the currently selected point on the curved surface along contour lines in various directions; the boundary points being the intersection points between the plane and the surface boundary lines and the contour lines; and according to... The right-hand rule is used to sort the boundary points, forming a region boundary chain. Connecting the currently selected point to the boundary points on the region boundary chain sequentially yields the first sub-region. Points on all contour lines on the surface are traversed until all points have completed the division of the first sub-region, resulting in a surface mesh structure. For a plane, adjacent points on the region boundary chain form a second sub-region. Traversing all points on the region boundary chain yields multiple second sub-regions, which are then combined to form a planar mesh structure. Both the first and second sub-regions are triangular regions. Based on the surface and planar mesh structures, a mesh model of the target transformer winding is constructed. The mesh model of the target transformer winding is stored in a mesh model library, and the mesh model library is updated. The mesh model library is used for sharing mesh models.
[0007] Secondly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for constructing a transformer winding mesh model with adaptive parameters.
[0008] According to the specific embodiments provided in this application, the following technical effects are disclosed:
[0009] This application measures the surface parameters of the variable winding, calculates the node density using curvature calculation, and then divides the surface into contour lines. Starting from a selected point, boundary points are obtained along contour lines in each direction, sorted to form a region boundary chain, and the selected point is connected to the boundary points to generate the first sub-region. This process is repeated to complete the surface mesh generation. Adjacent points in the boundary chain are connected to form the second sub-region, and all boundary points are traversed to form a planar mesh. The surface and planar mesh structures are then merged to establish a winding mesh model, and the mesh model library is updated. This application adaptively controls model attributes through parameter control, optimizes mesh generation based on node density, improves the distribution of mesh density, enhances the representativeness of the mesh model library, and improves the adaptability and sharing efficiency of the mesh model by updating the library, facilitating loading and processing in different hardware and software environments. Attached Figure Description
[0010] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0011] Figure 1 This is a flowchart illustrating a method for constructing a parameter-adaptive transformer winding mesh model, as provided in an embodiment of this application.
[0012] Figure 2 This is a schematic diagram of the mesh model structure of the target transformer winding provided in an embodiment of this application.
[0013] Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation
[0014] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0015] The purpose of parametric model optimization is to reduce model complexity and shrink the data size of the model file to adapt to more software and hardware environments. When the 3D surface of an object is composed of a set of meshes, the number of meshes often becomes extremely large. Too many meshes increase model complexity, leading to larger model files and affecting later loading or sharing. Therefore, this paper proposes a parametrically adaptive transformer winding mesh model construction method and device to reduce model complexity and improve model sharing efficiency.
[0016] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0017] Example 1, as Figures 1-2 As shown, this embodiment provides a method for constructing a transformer winding mesh model with adaptive parameters. The method includes:
[0018] S1. Measure the surface parameters of the target transformer winding; the structure of the target transformer winding is: a cylindrical shell; the surface of the target transformer winding includes: curved surface and plane; the curved surface is the surface of the target transformer winding with non-zero curvature; the plane is the surface of the target transformer winding with zero curvature.
[0019] Optionally, the structure of the target transformer winding can also be: a cylinder, an elliptical annular cylinder, a frustum, or a sphere;
[0020] In practical applications, the model simplification method based on parameter adaptation mainly optimizes the model according to the curvature of a specific region during modeling. The node density changes with the curvature, and the size of the node density determines the number of facets. The number of facets in the model is appropriately graded. The greater the curvature, the higher the grade and the denser the nodes, and the lower the degree of model simplification.
[0021] S2. For a surface, calculate the node density of the surface based on the normal curvature of the surface.
[0022] Furthermore, before step S2, the method further includes: smoothing the contour lines; the smoothing process is to eliminate sharp angles between the plane and curved surface boundary lines and the contour lines.
[0023] S3. Divide the surface into contour lines based on node density.
[0024] S4. Obtain boundary points from the currently selected point on the surface along contour lines in various directions; the boundary points are the intersections between the plane and surface boundary lines and contour lines.
[0025] S5. Sort the boundary points according to the right-hand rule to form a region boundary chain. Connect the currently selected point and the boundary points on the region boundary chain in sequence to obtain the first sub-region.
[0026] S6. Traverse all points on the contour lines on the surface until all points have completed the division of the first sub-region, thus obtaining the surface mesh structure.
[0027] S7. For a plane, a second sub-region is formed by two adjacent points on the region boundary chain. By traversing all points on the region boundary chain, multiple second sub-regions are obtained and combined to form a planar mesh structure. Both the first and second sub-regions are triangular regions.
[0028] S8. Based on curved mesh structure and planar mesh structure, construct the mesh model of the target transformer winding.
[0029] S9. Store the mesh model of the target transformer winding into the mesh model library and update the mesh model library; the mesh model library is used for sharing mesh models.
[0030] Furthermore, step S2 specifically includes:
[0031] S21. Obtain the normal curvature of the surface.
[0032] S22. Calculate the Gaussian curvature K and the mean curvature H of the surface respectively.
[0033] S23. Calculate the node density of the surface according to the Gaussian curvature K and the mean curvature H.
[0034] Further, step S21 specifically comprises:
[0035] S211. Take a tangent plane at any point of the surface, and take a set of orthogonal basis vectors u, v on the tangent plane.
[0036] S212. Express any vector V on the tangent plane with the basis vectors u, v, and the calculation formula of the vector V is as follows:
[0037] V = αu + βv.
[0038] In the formula, u is a unit vector in any direction on the tangent plane; v is a unit vector perpendicular to the direction u on the tangent plane; α is the projection coefficient of the vector V in the direction u, and the value is the length of the projection of the vector V in the direction u; β is the projection coefficient of the vector V in the direction v, and the value is the length of the projection of the vector V in the direction v.
[0039] S213. Characterize the surface according to the dot product of the vector V to obtain the first fundamental form of the surface.
[0040] S214. Calculate the second fundamental form of the surface according to the normal vector.
[0041] S215. Calculate the normal curvature of the surface by using the first fundamental form of the surface and the second fundamental form of the surface.
[0042] Further, the calculation formula of the first fundamental form of the surface is as follows:
[0043] Φ1 = V·V = Eα 2 +2Fαβ+Gβ 2 .
[0044] E = u·u.
[0045] F = u·v.
[0046] G = v·v.
[0047] In the formula, V is a vector; E is the vector dot product of u and u; F is the vector dot product of u and v; G is the vector dot product of v and v; u is a unit vector in any direction on the tangent plane; v is a unit vector perpendicular to the direction u on the tangent plane; α is the projection coefficient of the vector V in the direction u, and the value is the length of the projection of the vector V in the direction u; β is the projection coefficient of the vector V in the direction v, and the value is the length of the projection of the vector V in the direction v.
[0048] Further, the calculation formula of the second fundamental form of the surface is as follows:
[0049] Φ2 = Lα 2 + 2Mαβ + Nβ 2 .
[0050]
[0051] wherein Φ2 is a second fundamental form of the surface; L is a second derivative of a normal vector of a tangent plane of the surface at an arbitrary point of the surface in a direction of a corresponding base vector u at the point; M is a product of a partial derivative in a direction of a corresponding base vector u and a partial derivative in a direction of a corresponding base vector v of the normal vector of the tangent plane of the surface at the arbitrary point of the surface; N is a second derivative of the normal vector of the tangent plane of the surface at the arbitrary point of the surface in a direction of the corresponding base vector v; α is a projection coefficient of the vector V in the direction of the u, and has a value of a length of a projection of the vector V in the direction of the u; β is a projection coefficient of the vector V in the direction of the v, and has a value of a length of a projection of the vector V in the direction of the v; n is a unit vector in a direction of a normal vector of a tangent plane of the surface at an arbitrary point of the surface; φ is a surface equation represented by base vectors u and v.
[0052] Further, a calculation formula of the Gaussian curvature K is as follows:
[0053] K = k1k2.
[0054]
[0055] wherein K is the Gaussian curvature; k1 is the first principal curvature; k2 is the second principal curvature; E is a vector dot product of u and u; F is a vector dot product of u and v; G is a vector dot product of v and v; L is a second derivative of a normal vector of a tangent plane of the surface at an arbitrary point of the surface in a direction of a corresponding base vector u at the point; M is a product of a partial derivative in a direction of a corresponding base vector u and a partial derivative in a direction of a corresponding base vector v of the normal vector of the tangent plane of the surface at the arbitrary point of the surface; N is a second derivative of the normal vector of the tangent plane of the surface at the arbitrary point of the surface in a direction of the corresponding base vector v.
[0056] Further, a calculation formula of the average curvature H is as follows:
[0057]
[0058] wherein H is the average curvature; k1 is the first principal curvature; k2 is the second principal curvature; E is a vector dot product of u and u; F is a vector dot product of u and v; G is a vector dot product of v and v; L is a second derivative of a normal vector of a tangent plane of the surface at an arbitrary point of the surface in a direction of a corresponding base vector u at the point; M is a product of a partial derivative in a direction of a corresponding base vector u and a partial derivative in a direction of a corresponding base vector v of the normal vector of the tangent plane of the surface at the arbitrary point of the surface; N is a second derivative of the normal vector of the tangent plane of the surface at the arbitrary point of the surface in a direction of the corresponding base vector v.
[0059] Further, the calculation formula of the node density is as follows:
[0060]
[0061] In the formula, Q is the node density; H is the average curvature; and K is the Gaussian curvature.
[0062] The technical effects of the present application are as follows:
[0063] The present application determines the node density through the calculated curvature of the surface parameters of the variable winding, and performs contour line division accordingly; the boundary points are obtained along the contour lines in each direction from the selected point, the region boundary chain is formed through sorting, the first sub-region is generated by connecting the selected point and the boundary point, and the surface mesh division is completed through traversal. The second sub-region is formed by connecting the adjacent two points of the boundary chain, and the plane mesh is formed through traversal of all the boundary points; the winding mesh model is established by fusing the surface and plane mesh structures, and the mesh model library is updated. The present application controls the model properties through parameter self-adaptation, optimizes the mesh division according to the node density, optimizes the distribution of the mesh density, improves the representativeness of the mesh model library, improves the adaptability and sharing efficiency of the mesh model through updating the mesh model library, and facilitates loading and processing in different software and hardware environments.
[0064] In embodiment 2, the cylindrical body is taken as an example to illustrate the parameter self-adaptive transformer winding mesh model construction process in detail, and the specific process is as follows:
[0065] Step 1: judging the type of the model to be constructed, if the model has an arc, entering step 2; otherwise, exiting the model simplification process.
[0066] Step 2: selecting the model type, including cylindrical, annular, elliptical ring, circular cone, spherical body and other models with arcs.
[0067] Step 3: configuring the corresponding segmentation number z according to the input radius of the model, when the input radius of the model is less than 10 cm, the segmentation number z is set to 8; when the input radius of the model is greater than 10 cm and less than 30 cm, the segmentation number z is set to 12; and when the input radius of the model is greater than 30 cm, the segmentation number z is set to 24.
[0068] Step 4: completing node subdivision according to the segmentation number z to form a complete face subdivision scheme of the model, and completing the parameterized model simplification.
[0069] Step 5: the parameters of the cylindrical body are the bottom surface radius R and the height H, and the mesh model of the target transformer winding is constructed based on the parameters.
[0070] Calculating the slice arc: according to step 3, the slice segmentation number z is determined, and the arc of each slice is calculated for generating the vertex coordinates in the subsequent step.
[0071] Compute the bottom and top vertex: traverse each slice, compute the vertex coordinates (x, y, z) on the bottom, top circle.
[0072] Generate side quadrilaterals (decomposed into two triangles): each side quadrilateral consists of a pair of adjacent points on the top and bottom surfaces, decomposed into two triangles, a total of 2z triangles.
[0073] Generate bottom triangles: each triangle consists of the center point of the top surface and two adjacent points on the circumference, a total of z bottom triangles.
[0074] Generate top triangles: each triangle consists of the center point of the bottom surface and two adjacent points on the circumference, a total of z top triangles.
[0075] Complete the cylinder model generation: the created cylinder consists of 4z triangles (z top, z bottom, 2z side), and then adjust the size of z according to the input parameters of the model, and then control the number of model patches.
[0076] In this embodiment, a cylindrical shell is taken as an example to illustrate the parameter adaptive transformer winding grid model construction process in detail, as follows:
[0077] Partition the model to be constructed into two upper and lower circular ring planes (plane) and a cylindrical shell side (curved surface) three regions.
[0078] For the cylindrical shell side:
[0079] Step 1, calculate the curvature of the model, when the normal curvature is 0, the principal curvature is calculated; Gaussian curvature K, the average curvature H is the average value.
[0080] Step 2, perform mesh subdivision.
[0081] 1) Calculate node density according to curvature, and divide the region into corresponding contour lines according to node density.
[0082] 2) Contour smoothing processing. Eliminate the sharp corners between the contour lines and the region boundaries, and generate nodes along the contour lines.
[0083] 3) Form a closed loop. Get the boundary points from the current selected point on the curved surface in each direction of the contour line, and sort the boundary points according to the right-hand rule to form the region boundary chain, and connect the current selected point and the boundary points in turn to form a sub-region.
[0084] 4) Mesh generation. Traverse all points on the contour lines of the curved surface region until all points have been divided into a sub-region.
[0085] Step 3, for the upper and lower circular ring planes:
[0086] According to the number of isograms on the intersection line of the cylindrical shell and the upper and lower annular planes, the number of segments z of the annular plane is determined. The bottom triangular facets and the top triangular facets are generated: each triangle is composed of a point on the inner ring circumference and two adjacent points on the outer ring circumference, and there are z bottom triangular facets.
[0087] Step 4, the network structure of the annular plane and the network structure of the side surface are combined, and the transformer winding model is constructed.
[0088] Embodiment 4, the present application also provides a computer device, which can be a server or a terminal, and an internal structure diagram thereof can be as shown in Figure 3 The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is used to store processing data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement the above-mentioned methods.
[0089] Those skilled in the art can understand, Figure 3 that the structure shown in
[0090] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.
[0091] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.
[0092] The principles and implementation modes of the present application are described by using specific examples in this paper, and the above-mentioned embodiment is only used to help understand the method and its core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range will be changed. In conclusion, the content of the present application should not be understood as a limitation.
Claims
1. A method for constructing a parameter-adaptive transformer winding mesh model, characterized in that, The parameter-adaptive transformer winding grid model construction method comprises the following steps: Measuring surface parameters of a target transformer winding; the structure of the target transformer winding is a cylindrical shell; the surfaces of the target transformer winding include curved surfaces and planes; the curved surfaces are surfaces with non-zero curvature in the target transformer winding; the planes are surfaces with zero curvature in the target transformer winding; For the curved surfaces, calculating the node density of the curved surfaces according to the normal curvature of the curved surfaces; Dividing the curved surfaces by contour lines based on the node density; Obtaining boundary points from the contour lines in all directions from a currently selected point on the curved surfaces; the boundary points are intersection points between the boundary lines of the planes and the curved surfaces and the contour lines; According to the right-hand rule, sorting the boundary points to form a region boundary chain, and sequentially connecting the currently selected point and the boundary points on the region boundary chain to obtain a first sub-region; Traversing all points on the contour lines on the curved surfaces until all points have completed the division of the first sub-region to obtain a grid structure of the curved surfaces; For the planes, forming a second sub-region by two adjacent points on the region boundary chain, traversing all points on the region boundary chain to obtain multiple second sub-regions, and combining the second sub-regions to obtain a grid structure of the planes; the first sub-region and the second sub-region are both triangular regions; Based on the grid structure of the curved surfaces and the grid structure of the planes, constructing a grid model of the target transformer winding; Storing the grid model of the target transformer winding in a grid model library and updating the grid model library; the grid model library is used to share the grid model.
2. The method of claim 1, wherein, Before dividing the curved surfaces by contour lines based on the node density, the method further comprises the following steps: Smoothing the contour lines; the smoothing process eliminates sharp corners between the boundary lines of the planes and the curved surfaces and the contour lines.
3. The method of claim 1, wherein, Calculating the node density of the curved surfaces according to the normal curvature of the curved surfaces, specifically comprising the following steps: Obtaining the normal curvature of the curved surfaces; Respectively calculating the Gaussian curvature K and the mean curvature H of the curved surfaces; Calculating the node density of the curved surfaces according to the Gaussian curvature K and the mean curvature H.
4. The method of claim 3, wherein, Obtaining the normal curvature of the curved surfaces, specifically comprising the following steps: Taking a tangent plane at any point on the curved surfaces, and taking a set of orthogonal basis vectors u and v on the tangent plane; Expressing any vector V on the tangent plane by the basis vectors u and v; the calculation formula of the vector V is as follows: V = αu + βv; In the formula, u is a unit vector in any direction in the tangent plane; v is a unit vector perpendicular to the direction u in the tangent plane; a is the projection coefficient of the vector V in the direction u, and the value is the length of the projection of the vector V in the direction u; β is the projection coefficient of the vector V in the direction v, and the value is the length of the projection of the vector V in the direction v; Characterizing the curved surfaces according to the dot product of the vector V to obtain a first fundamental form of the curved surfaces; Calculating a second fundamental form of the curved surfaces according to the normal vector; Calculating the normal curvature of the curved surfaces by using the first fundamental form of the curved surfaces and the second fundamental form of the curved surfaces.
5. The method of claim 4, wherein, The calculation formula of the first fundamental form of the curved surfaces is as follows: Φ1 = V · V = Eα 2 + 2Fαβ + Gβ 2 ; E = u·u; F = u·v; G = v·v; In the formula, V is a vector; E is a vector dot product of u and u; F is a vector dot product of u and v; G is a vector dot product of v and v; u is a unit vector in any direction in the tangent plane; v is a unit vector in the tangent plane perpendicular to the direction of u; a is a projection coefficient of the vector V in the direction of u, and the value is the length of the projection of the vector V in the direction of u; β is a projection coefficient of the vector V in the direction of v, and the value is the length of the projection of the vector V in the direction of v; 6. The method of claim 5, wherein, The calculation formula of the second fundamental form of the curved surfaces is as follows: Φ2 = L α 2 + 2M αβ + N β 2 ; In the formula, Φ2 is the second fundamental form of the curved surface; L is the second derivative of the normal vector of the tangent plane of any point of the curved surface in the corresponding base vector u direction at the point; M is the product of the partial derivative of the normal vector of the tangent plane of any point of the curved surface in the corresponding base vector u direction and the partial derivative in the v direction at the point; N is the second derivative of the normal vector of the tangent plane of any point of the curved surface in the corresponding base vector v direction at the point; α is the projection coefficient of the vector V in the u direction, and the value is the length of the projection of the vector V in the u direction; β is the projection coefficient of the vector V in the v direction, and the value is the length of the projection of the vector V in the v direction; n is the unit vector of the direction of the normal vector of the tangent plane of any point of the curved surface; and φ is the curved surface equation represented by the base vectors u and v.
7. The method of claim 3, wherein, The calculation formula of the Gaussian curvature K is as follows: K = k1k2; In the formula, K is the Gaussian curvature; k1 is the first principal curvature; k2 is the second principal curvature; E is the vector dot product of u and u; F is the vector dot product of u and v; G is the vector dot product of v and v; L is the second order derivative of the normal vector of the tangent plane of any point of the surface in the corresponding base vector u direction at the point; M is the product of the partial derivative of the normal vector of the tangent plane of any point of the surface in the corresponding base vector u direction and the partial derivative in the v direction at the point; and N is the second order derivative of the normal vector of the tangent plane of any point of the surface in the corresponding base vector v direction at the point.
8. The method of claim 3, wherein, The calculation formula of the average curvature H is as follows: In the formula, H is the average curvature; k1 is the first principal curvature; k2 is the second principal curvature; E is the vector dot product of u and u; F is the vector dot product of u and v; G is the vector dot product of v and v; L is the second order derivative of the normal vector of the tangent plane of any point of the surface in the corresponding base vector u direction at the point; M is the product of the partial derivative of the normal vector of the tangent plane of any point of the surface in the corresponding base vector u direction and the partial derivative in the v direction at the point; and N is the second order derivative of the normal vector of the tangent plane of any point of the surface in the corresponding base vector v direction at the point.
9. The method of claim 1, wherein, The calculation formula of the node density is as follows: In the formula, Q is the node density; H is the average curvature; and K is the Gaussian curvature.
10. A computer device comprising: A memory, a processor and a computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the computer program to implement the parameter adaptive transformer winding grid model construction method in any one of claims 1-9.