650 results about "Mesh generation" patented technology

The invention relates to the technical field of crustal stress field data processing, in particular to a crustal stress field three-dimensional dynamic inversion method based on a multi-scale adaptive algorithm. The method comprises the following steps: acquiring a geological data set of a target area; constructing a crustal stress field three-dimensional initial model based on the geological data set, and performing geologic body space division and mesh generation to obtain crustal stress field three-dimensional mesh model data; performing multi-scale region division on the crustal stress field three-dimensional grid model data, and establishing a multi-scale weighting function to obtain multi-scale partition mapping information; and constructing a cross-scale boundary adaptive transmission mechanism, and establishing a stress tensor continuity constraint model at a multi-scale partition boundary to obtain cross-scale stress boundary coupling data. Through a multi-scale adaptive algorithm and dynamic closed-loop optimization, high-precision, dynamic and continuous inversion of a crustal stress field in a complex geologic structure is realized.

The invention provides an airfoil flow field prediction method based on multi-task learning, and the method comprises the steps: firstly building an airfoil flow field prediction model based on multi-task learning, which comprises an encoder, a backbone network and a multi-head decoder; then training the established model by using an airfoil flow field data set and adopting an optimization strategy based on multi-task learning; and finally, performing geometric parameterization and grid generation processing on an airfoil which actually needs flow field prediction to obtain standardized airfoil flow field data, and inputting the airfoil flow field data into the trained airfoil flow field prediction model for prediction to obtain full flow field physical quantity distribution and lift-drag coefficient information. According to the method, a multi-task loss optimization strategy is used in the prediction model training process, so that the problem of conflict between airfoil profile surface loss and volume loss optimization can be effectively solved, and then the construction of an airfoil profile proxy model and the accurate prediction of flow field information and aerodynamic parameters are realized.

The invention provides a customized energy-saving air conditioner control method and device for industrial process requirements, and is applied to the technical field of data processing. According to the method, electromagnetic interference and vibration noise are eliminated through Kalman filtering, and a standardized process-environment-energy consumption correlation sequence is generated; and converting the three-dimensional process load map into a three-dimensional process load map, and establishing an individualized air conditioner dynamic load prediction model in combination with heat and humidity characteristics of a scene through fluid dynamic simulation and self-adaptive grid division. Extracting process priority factors to construct an adjustment matrix, calculating an air conditioner parameter combination under target energy consumption, extracting energy consumption characteristics, dividing standard exceeding risk levels, and constructing a multi-dimensional characteristic matrix; and comparing real-time data with historical data to identify abnormity, and generating an energy consumption optimization correction factor. Users are grouped according to enterprise conditions, key factors are screened by using a gradient boosting tree, a personalized energy-saving control model is constructed by fusing multiple information, target parameters are output, and a real-time adjustment instruction and a time-phased energy-saving strategy are generated in combination with a time sequence.

The invention discloses a curved surface grid generation and self-adaptive re-division method for fluid simulation. The method comprises the following steps: acquiring CAD fluid model data; processing closed surface, short edge and parameter domain distortion and geometric interference problems of the CAD fluid model to obtain a defect-free continuous geometric model; performing curved surface discretization processing on the defect-free continuous geometric model to generate an initial grid; and performing grid re-division processing on the initial grid to generate an optimized anisotropic curved surface grid. The problems of high geometric defect sensitivity, large isotropic grid redundancy and sudden size change of the tail end of a parameter domain in related technologies of fluid simulation are solved.

The invention discloses a curved surface quadrilateral dominant grid generation method, device and equipment for an aircraft and a storage medium, and relates to the technical field of computational fluid mechanics, and the method comprises the steps: creating a surface unstructured grid based on surface grid generation parameters of a CAD file of the aircraft, carrying out the conformal mapping of the surface unstructured grid to a parameter domain plane, and calculating the vertex compression ratio of each grid vertex; selecting the current starting point with the minimum compression ratio and the maximum to-be-compared vertex in the adjacency list, and determining the current to-be-processed vertex with the minimum compression ratio in the adjacent vertexes and the advancing direction; determining to-be-processed discrete points according to the current compression ratio and the coordinate information to generate a current isoline, if the current compression ratio does not exceed a threshold value, iteratively updating the current starting point, and skipping to the step of determining the current to-be-processed vertex again; the discrete points are projected to the outer-layer isolines according to the isoline sequence, and the curved-surface quadrilateral dominant grid is generated based on the distance proportion between each discrete point and the projection point, so that the generation efficiency of the curved-surface quadrilateral grid is improved.

The invention provides a three-dimensional object collision detection parcel grid generation method and system, a storage medium and a program product, and the method comprises the steps: extracting all vertex data of a first object according to a sub-Mesh data set after serialization of a three-dimensional model, and determining an initial center point; each vertex of each piece of sub Mesh data is converted from a local coordinate system to a global world coordinate system, and a point cloud data set is generated; constructing an initial convex hull by adopting a matrix hierarchical extremum retrieval algorithm, and generating a final convex hull by adopting a conflict graph and incremental convex hull algorithm; initializing a radius coverage model by taking the geometric center of the model as a sphere center; performing subdivision according to longitude and latitude to generate a hierarchical ball grid; emitting rays, correcting vertex positions layer by layer, approaching the surface of the model, and outputting a collider network. Through the overall point cloud set, the incremental convex hull algorithm and the spherical grid contraction technology, unified topological wrapping of the multiple three-dimensional objects is achieved, the visual fidelity and the collision precision are ensured, and resource consumption is reduced.

Building on U.S. Provisional Patent Application No. 63 / 693,803, paragraphs for 2D-to-3D conversion and [0023]-[0024] for secure content verification, the Matrix 3D AI Polygon Mesh Hash Key System revolutionizes transforming 2D content into secure, interactive 3D AR / VR assets. Integrating AI and LiDAR, it enables real-time 3D mesh generation with precise geospatial anchoring. Users can reshape 3D content instantly via natural language commands, enhancing interactivity. Quantum-resistant encryption, using AES-256 and CRYSTALS-Kyber, ensures robust asset security. The system excels in gaming, surveillance, content verification, military operations, space exploration, deepfake detection, and pharmaceutical research, offering unmatched precision and scalability. Its multi-stage rendering pipeline, powered by distributed AI-driven bots, supports efficient real-time 3D mesh generation, achieving 95% accuracy and 1 cm resolution. This AR / VR technology advancement transforms industries with scalable, secure solutions for interactive 3D content creation and management, setting a new standard for precision and versatility.

The invention belongs to the technical field of simulation analysis, and particularly relates to a medium-high voltage switch cabinet internal humidity inversion calculation method based on simulation analysis, which comprises the following steps: establishing a geometric model of a switch cabinet, importing the geometric model into finite element simulation software to obtain a simulation analysis model, adding each physical field and computational domain and boundary conditions thereof, and calculating the internal humidity of a medium-high voltage switch cabinet. All the physical fields are coupled, and mesh generation is carried out; performing numerical solution on the simulation analysis model by using a transient solver to obtain a temperature and humidity distribution condition in the switch cabinet; the simulation analysis model is optimized, a simulation data set is constructed, and a PINN is trained; based on the environment temperature and humidity and the operation current collected in the actual operation of the switch cabinet, the trained PINN is used for prediction, and the steady-state relative humidity of the current transformer is obtained. According to the invention, based on the limited boundary monitoring data, efficient and accurate reconstruction of the humidity field of the key area in the switch cabinet is realized, and a feasible path is provided for equipment state sensing and condensation risk early warning.

The invention discloses a non-uniform and conformal grid-oriented electromagnetic particle adaptive simulation method and system, and relates to the technical field of electromagnetic particle simulation. The method comprises the following steps: performing non-uniform right-angle mesh generation based on a charged particle average free path, and identifying conformal mesh units; carrying out initialization by adopting macro particles; executing electromagnetic field propulsion, field interpolation, particle propulsion, charge current backfilling and collision simulation in each time step; and accelerated calculation is realized through a CPU and GPU hybrid parallel architecture. Through the method, the numerical simulation precision can be improved, the adaptability of complex geometry is enhanced, the coupling stability of the electromagnetic field and the particles is ensured, the information interaction between the field and the particles is improved, and the large-scale calculation efficiency is improved.

The invention discloses a three-dimensional curved surface pattern layering processing method based on parameterized segmentation, and aims to solve the problem of high-precision pattern processing on the surface of a curved surface by using a laser scanning galvanometer. The method comprises the following steps: firstly, importing a three-dimensional model, and carrying out parameterization processing to obtain a two-dimensional parameter domain; positioning a to-be-processed plane pattern in the two-dimensional parameter domain to form a complete two-dimensional geometric grid covering a pattern area, generating a three-dimensional pattern grid attached to a curved surface, and calculating a center normal vector of the three-dimensional pattern grid; then, generating an equidistant plane group on the surface of the curved surface, and calculating an intersection line of the plane and the three-dimensional pattern grid as a laser scanning track; and the five-axis linkage platform-galvanometer system is started for machining. Through the parameterization domain, distortion of curved surface pattern machining is effectively solved, machining uniformity is improved, and the method is particularly suitable for laser machining of large-scale or high-complexity curved surface patterns.

A multi-scale coupling analysis method for a high-temperature liquid metal and jet water interaction system mainly comprises the following steps as shown in an attached drawing: 1, carrying out geometric modeling and grid division on a liquid metal pool type space, jet water and other pipeline systems, and setting a valve action sequence; 2, setting a coupling boundary, and establishing an IPC communication pipeline; 3, performing steady-state calculation, and mutually providing initial boundaries for overall initialization; 4, a system program is imported into the boundary of the two-dimensional fluid domain, the fluid state in the pipeline under the decompression heating condition is calculated, and boundary information in a result is written into the IPC pipeline; 5, the two-dimensional fluid program reads source items from the system program, thermodynamic parameter distribution of the molten pool is calculated, and boundary information is provided; and 6, judging the action condition of the component at the current moment and repeating the step 4 and the step 5 until the calculation time reaches the end moment. The method provided by the invention can simulate the whole interaction process of liquid metal and jet water and embody the influence of flash evaporation in a critical flow jet boundary and an injection pipeline on jet.

Certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. In an example method, a multiview latent tensor is generated based on processing a textual input using a diffusion machine learning model, where the multiview latent tensor corresponds to a plurality of orthographic projections corresponding to the textual input. A triplane latent tensor is generated based on the multiview latent tensor using a conversion machine learning model, and a three-dimensional mesh is generated based on processing the triplane latent tensor using a decoder machine learning model.

The invention discloses an electromagnetic field simulation grid adaptive generation method based on a neural network. The method comprises the following steps: performing mesh generation on a semiconductor device simulation model to obtain original generation data, and constructing node features; an undirected graph is constructed, graph nodes of the undirected graph adopt node features of grid points, and connecting edges adopt Euclidean distances between the grid points and adjacent grid points; inputting the undirected graph into a double-branch neural network, and outputting a predicted node position; and correcting each node of the original subdivision data by using the predicted node position obtained by the double-branch neural network to form new subdivision data for electromagnetic field simulation. According to the method, physical field information can be fused to efficiently adjust the node density, and the geometric boundary and topological structure characteristics of the device can be strictly kept.

The invention relates to the technical field of face verification, and discloses a face identity verification data processing method based on dynamic feature extraction, which comprises the following steps: acquiring a continuous face video frame sequence and calculating a full-pixel instantaneous velocity vector to generate an original dense optical flow field, selecting rigid region anchor points to calculate a rigid affine transformation matrix and construct a theoretical rigid motion field, performing differential stripping on the theoretical rigid motion field from the original dense optical flow field, and extracting a non-rigid micro-motion residual field; mapping the non-rigid micro-motion residual field to a facial muscle topological grid to generate a time sequence feature tensor, and calculating a geodesic line distance between a covariance matrix of the time sequence feature tensor and a reference dynamic feature in a Riemannian manifold space; when the geodesic distance is smaller than a threshold value, verification is passed, through a rigid-non-rigid orthogonal decomposition mechanism, the special viscoelastic micro-motion and cooperation law of biological soft tissue is captured by utilizing a residual field, and the high-simulation mask is effectively defended.

The invention discloses a 3D Gaussian-based dressing human body geometry and texture parameterization reconstruction method. The method comprises the steps of generating human body and clothing grids of each frame of an RGB video based on a human body parameterization model SMPL and a clothing parameterization model TailorNet; generating a subdivision grid based on the human body and clothing grid, and generating an initial 3D Gaussian ball by taking the subdivision grid as a reference; training a Gaussian estimation network, and rendering by using a linear skin and 3D Gaussian splashing method; a motion sequence is given, and a dressed human body under the motion sequence is rendered by using a Gaussian estimation network. The invention provides the dressing human body reconstruction method which is more fit with the clothing and the human body model, the dressing human body rendering result under the given motion sequence can be output after the network training is completed, and the real and natural clothing wrinkle geometry and texture can be reconstructed.

The invention discloses a Chinese character structure and geometric space interactive writing method, which relates to the technical field of interactive writing methods, and comprises the following steps: carrying out geometric classification processing on Chinese characters by adopting a structural analysis method to obtain a Chinese character type set comprising a left-right structure, an up-down structure and a surrounding structure; carrying out geometric rule definition processing on the obtained Chinese character type set to obtain a geometric constraint rule base containing component proportion, gravity center alignment and stroke topological relation; performing structured storage processing on the obtained geometric constraint rule base by adopting a database construction method to obtain a dynamically-called Chinese character writing template database; the writing process of the user is monitored in real time, and a writing feature data set containing stroke coordinates, writing speed and pressure data is obtained; performing matching processing on the obtained writing feature data by adopting a dynamic grid generation method to obtain a self-adaptive reference grid corresponding to the currently written Chinese character; and carrying out deviation detection processing on the obtained self-adaptive reference grid by adopting a computer vision method.

The invention relates to the technical field of digital twinning, particularly provides a digital twinning construction method based on multi-source point cloud data fusion, and solves the problems of low multi-source point cloud data fusion precision, low calculation efficiency and poor adaptability to complex scenes in the prior art. The method comprises the following steps: S1, preprocessing multi-source point cloud data: carrying out data denoising and coordinate unified processing on the point cloud data of each source; s2, designing a point cloud data fusion algorithm: performing feature extraction and description, feature matching and fusion decision and weighted fusion calculation on the preprocessed point cloud data to obtain fused point cloud data; s3, constructing and optimizing a digital twinborn model: performing triangular mesh generation, model optimization processing, texture mapping and attribute addition on the fused point cloud data, and constructing the digital twinborn model; the digital twinning construction method based on multi-source point cloud data fusion can effectively solve the problems that multi-source point cloud data fusion is low in precision, low in calculation efficiency and poor in adaptability to complex scenes.

The invention relates to the field of biological modeling, and discloses a shoulder joint stress simulation method and system based on a three-dimensional finite element. The method comprises the following steps: acquiring three-dimensional geometric data of a shoulder joint through scanning equipment, and generating an initial grid model; dividing the preliminary calculation grid to determine an initial stress value, simulating stress transfer distribution, and generating a preliminary stress distribution field; calculating the stress gradient change rate of each grid unit and performing local subdivision to generate a stress gradient change rate distribution diagram; performing density subdivision on the grid units exceeding the change threshold to generate a refined grid model; the calculation grid is divided again, the stress value of each grid unit is calculated, and an updated stress field is generated; calculating a difference vector, judging whether the difference vector meets a convergence condition or not, and obtaining a convergence judgment result; and if not, iteratively subdividing the local grid to generate a final stress distribution field. Through adaptive grid subdivision and iterative convergence optimization, the problem of insufficient simulation precision is solved, and the accuracy is improved.

The invention relates to the technical field of wireless semantic communication, and discloses a semantic information transmission method, device and equipment and a storage medium, a sending end extracts features of to-be-transmitted data, and matches the features with vectors in a preset discrete vector codebook to obtain discrete feature vectors; and determining an orthogonal frequency division multiplexing time-frequency resource distribution grid according to the feature importance weights of the discrete feature vector and the initial feature vector, generating a sending signal, and transmitting the sending signal to a receiving end. And the receiving end inputs the semantic feature vector obtained after processing the received signal into the vector quantization variational self-decoder, and the semantic feature vector is matched with the vector in the discrete vector codebook again to correct the transmission error, thereby obtaining the reconstructed data to be transmitted. Discretization processing of the features is achieved through a discrete vector codebook, important semantic feature bits are quantized according to the importance weight of each feature and then distributed to orthogonal frequency division multiplexing for transmission, so that key semantic information is protected, and anti-interference transmission of the semantic information is achieved.

The invention provides a curved surface grid generation method based on discrete grid parameterization, and belongs to the technical field of computer aided engineering (CAE) and computational geometry. Aiming at the problems of tedious geometric operation, parameter space fusion distortion, insufficient grid fitness and the like in grid subdivision of a complex curved surface formed by a plurality of sub-curved surfaces, the invention provides the following technical scheme: firstly, carrying out triangular grid pre-subdivision on an original curved surface, and constructing a virtual topological structure for inhibiting non-key features; the discrete grids are mapped to a low-distortion two-dimensional parameter space by adopting least square conformal mapping (LSCM), and seamless combination of multiple sub-surface parameter domains is realized; dynamically calculating a parameter space size field, and controlling grid density distribution; after a parameter space adaptive grid is generated through Delaunay triangulation, grid points are accurately attached to an original geometric surface by using a dual projection correction mechanism. According to the method, complex CAD geometric operation is avoided, the automation degree is remarkably improved, meanwhile, physical space grid uniformity and strict fitness are guaranteed, and the method is suitable for efficient and high-precision grid generation of complex curved surfaces in the fields of aerospace, automobiles, ships and the like.

The invention discloses a modeling method and system for regulating and controlling bone healing through dynamic stress stimulation, which are applied to the technical field of bone healing, and the method comprises the following steps: establishing a geometric model of a fracture part; performing mesh generation on the geometric model to generate finite element models of bones and callus; assigning values to the material attributes in the callus at the initial moment; applying dynamic load constraint to the top end of the cortical bone based on the finite element model, and establishing a bone healing model; calculating attributes of new materials in tissue cells, and judging whether the attributes of the new materials reach a preset healing standard or not through the bone healing model; if the preset healing standard is reached, simulation is completed, otherwise, iterative simulation is carried out by dynamically adjusting mechanical parameters until the preset healing standard is reached, and final bone healing data are output. Through the bone healing model, loading parameters are adjusted in real time according to simulation data, and the accuracy and reliability of bone healing simulation are improved.

According to the rapid modeling method for the finite element of the bridge rod system unit disclosed by the invention, a clearer and more reasonable modeling method is constructed by combining rod system structure modeling and BIM modeling logic, and a user can obtain the finite element of the bridge rod system unit by modifying simple underlying data or utilizing a result formed in the method. And analysis and modeling are realized by effectively combining with other software at low cost. The method uses a Python language, and comprises the following steps of: 1, realizing attributes of editing classes by utilizing the Python language; 2, creating a material and a section instance; 3, the bridge structure is divided into different component instances corresponding to the bridge types, boundary information between different components is bound through the boundary class, and loads acting on the different components are determined through the load class; 4, packaging the axis class, and binding the component instance with the axis instance; 5, adding a calculation module, and carrying out mesh generation; 6, obtaining each subdivision point on the axis, and connecting the subdivision points to generate a corresponding unit set; and 7, establishing boundary and load examples.

The invention discloses a combustion chamber and turbine guider integrated composite flow channel outlet flow field uniformity evaluation method, and belongs to the technical field of gas turbine pneumatic design. The method comprises the steps that a geometric model of a combustion chamber and turbine guider integrated composite flow channel is built, a combustion chamber function section and a guider pneumatic section are fused through integral pneumatic modeling to form a continuous flow channel, a front section adopts a diffusion structure to form a low-speed combustion area, and a rear section adopts a gradually-shrinking channel to achieve gas accelerated expansion; performing three-dimensional cold-state flow field numerical simulation by adopting a structured grid division and delay separation vortex simulation technology; flow parameters including total pressure, Mach number, airflow angle and vorticity are extracted from the cross section of a flow channel outlet, conversion from a Cartesian coordinate system to a polar coordinate system is carried out, and a uniformly distributed aerodynamic parameter field is reconstructed by using an interpolation algorithm; the directional coupling degree is calculated based on the spatial correlation of the pressure gradient vector and the vorticity vector, and the vortex-pressure coupling entropy production index representing the overall aerodynamic loss of the flow channel is established in combination with the pressure pulsation intensity and the vorticity concentration ratio. According to the method, a three-dimensional evaluation system is constructed by integrating circumferential and radial non-uniformity and entropy production parameters, and accurate quantitative evaluation of flow characteristics and uniformity of the combustion chamber and turbine integrated structure is realized.

The invention discloses a thin-wall structure layered body grid generation method based on surface grid alignment, which comprises the following steps of: reading an integral surface grid with a thin-wall structure characteristic and a mapping relation, and pairing a source surface grid and a target surface grid in the integral surface grid according to the mapping relation; aligning the source surface grid and the target surface grid which are paired, updating the target surface grid, and extracting triangular mapping information of an aligned region; according to the mapping information, advancing a source surface grid to a target surface grid layer by layer to obtain a layered body grid; extracting the outer surface of the stratified body mesh, combining the outer surface of the stratified body mesh with the overall surface mesh to obtain a combined surface mesh, and performing mesh point classification; normalizing the unit normal direction of the combined surface grid, calculating the normal direction at grid points needing to be propelled according to the grid point classification, and interpolating points according to distances in the normal direction to form a constraint point set; and generating a cavity area body grid by taking the constraint point set and the combined surface grid as constraints, and combining the cavity area body grid with the layered body grid to obtain the layered body grid of the overall thin-wall structure.

The invention belongs to the technical field of simulation analysis, and particularly relates to a hot-spot temperature detection method of an environment-friendly gas switch cabinet based on multi-physics field simulation, which comprises the following steps: establishing a geometric model of multi-physics field coupling analysis, importing the geometric model into COMSOL, and adding corresponding material attributes; adding each physical field, and carrying out multi-physical field coupling; mesh generation is carried out; frequency domain-transient research is added, and a transient solver is used for direct solving; carrying out post-processing on a simulation solving result; the temperature during actual operation is measured, and the simulation model is optimized and adjusted; based on the optimized and adjusted simulation model, hot spot temperature is extracted, and temperature inversion is carried out; constructing a deep neural network DNN model, and performing training; and the air chamber shell temperature obtained through measurement in actual operation serves as input, a DNN model is used for prediction, and the corresponding hot-spot temperature is obtained. According to the invention, the efficiency and accuracy of hot-spot temperature detection can be improved without changing the structure of the existing switch cabinet.

The invention discloses a micro-grid resource visual topological index generation method and system. The method comprises the following steps: receiving geographic boundary coordinate data of a micro-grid system to establish a micro-grid physical region coordinate system; a hexagonal honeycomb grid structure is constructed in the microgrid physical region coordinate system; generating a cellular grid hierarchical hash code according to the cellular grid; constructing a skip list chain of the network topology structure and a skip list chain access path cache table based on the hash code; and finally, executing cross-level jump retrieval by utilizing the cache table and generating a micro-grid resource visual topological index. According to the method, by combining the hexagonal honeycomb grid and the skip list chain structure, efficient cross-level retrieval is achieved, the speed and accuracy of equipment positioning in a complex micro-grid system are remarkably improved, and the fault processing efficiency and the operation and maintenance response speed are powerfully guaranteed.

The invention provides an earth crust spectrum unit optimization modeling method suitable for strong seismic wave field simulation under complex topographic conditions, and relates to the field of seismic engineering, and the method comprises the steps: determining topographic parameters of a research area; according to wave velocity structure parameters of a research area, determining a mesh refinement multiple, and obtaining a minimum distance from a wave velocity contour surface to the bottom; determining the position of a refinement conversion layer of the earth crust spectrum unit; determining the total number of three-way units before mesh refinement according to the position of the earth crust spectrum unit refinement conversion layer; carrying out mesh generation in the whole domain by adopting hexahedron units; according to the layer number of the earth crust spectrum units at the upper part of the conversion layer, carrying out superficial earth crust model refinement processing; and calculating grid quality, counting the number of the earth crust spectrum units to obtain an expected value of the earth crust spectrum units, and comparing the expected value with the estimated value. According to the method, the quality problem of the spectrum unit during modeling of the earth crust structure in regions with complex topographic conditions such as alpine and canyon can be solved, meanwhile, the calculation freedom degree is reduced to the minimum, and stable and low-cost seismic oscillation simulation based on the spectrum element method is achieved.

The invention discloses a grid generation method and device for finite element analysis of an aircraft airfoil quadrilateral structure, equipment and a medium, and relates to the technical field of multi-physics field coupling numerical simulation. Curve distances between discrete grid points and upper airfoil surface trailing edge points of an airfoil are calculated; the method comprises the following steps: initially segmenting an airfoil profile grid to obtain quadrilateral regions, calculating first control angular points at a front edge and a rear edge corresponding to an upper airfoil surface and a lower airfoil surface, second control angular points in an airfoil profile, first grid edges around an airfoil profile, intersecting edges at the front edge and the rear edge, and second grid edges in the airfoil profile, and constructing a computational domain grid; repeated grid point deletion, grid point list updating and grid unit list updating are carried out on the computational domain grid; and according to the target grid point list and the target grid unit list, generating a grid for finite element analysis of the quadrilateral structure of the aircraft airfoil, so that the full quadrangle of the grid units and the consistency of the grid units among different airfoil profiles can be ensured.

The invention provides a cooling fan performance calculation method based on multi-physics field coupling. The cooling fan performance calculation method comprises the following steps that a parameterized geometric model of a fluid domain is established according to the size and the relative position of an engine cooling fan and a wind chamber test bed; respectively inputting the two parameterized geometric models into pretreatment software, respectively carrying out grid division on the two parameterized geometric models by using a grid division tool, and outputting a grid file after geometric discretization of the two parameterized geometric models; the discrete grid file of the engine cooling fan is imported into finite element analysis software, a pretreatment tool is used for defining material parameters for the engine cooling fan, boundary conditions and load constraints are applied, the discrete grid file of a fluid domain is imported into fluid dynamics analysis software, and fluid dynamics analysis is carried out on the engine cooling fan; setting a turbulence model, region and boundary conditions, a solver and the like; establishing a multi-physical field coupling model to realize data exchange among a plurality of physical fields; and operation calculation is carried out, a calculation result is post-processed, and qualitative and quantitative analysis is carried out on the fan performance.

The invention discloses a polygonal and quadrilateral mesh automatic subdivision method based on deep reinforcement learning, relates to the field of computational geometry and mesh generation, and constructs an automatic subdivision framework fusing geometric priori knowledge and a data driving strategy. According to the method, nine basic topology filling templates covering triangles to hexagons are predefined as discrete action spaces, and continuous geometric segmentation is converted into a sequence decision problem; learning a mapping relation between the polygon state characteristics and the optimal template selection strategy by using a deep Q network, and balancing exploration and utilization through a dynamic epsilon-greedy mechanism; and in combination with a vertex number priority scheduling strategy and a multi-dimensional quality award function, guiding an intelligent agent to adaptively generate a high-quality quadrilateral grid. According to the method, full-automatic and high-robustness subdivision of the complex polygon area is achieved, the grid orthogonality and the length-width ratio quality are remarkably improved, manual intervention is avoided, and the method is suitable for engineering scenes such as finite element analysis.