132 results about "Triangular grid" patented technology

The invention relates to a low-altitude flight dynamic safety guarantee method and system based on airspace gridding, and relates to the technical field of low-altitude airspace management, and the method comprises the steps: constructing a gridding airspace; on the basis of the gridding airspace, labeling network attributes for each grid unit in real time and evaluating a low-altitude safety state; according to network attributes, extracting a grid center point of an airspace grid which is evaluated to be in a low-risk range as a safe flight point, and dividing the gridding airspace into a plurality of safe triangular grids; and according to the predicted trajectory of the aircraft, selecting a candidate point with the lowest risk cost from adjacent triangles of the safety triangular mesh, and introducing a risk cost function to dynamically adjust the distribution of flight path points. According to the invention, the flight path of the aircraft group can be dynamically adjusted according to the environment change, and the stability and safety of cluster task execution are improved.

The invention relates to the technical field of computer-aided manufacturing, and provides a staged processing real-time cutting simulation method and system.The method comprises the steps that S1, initialization modeling is conducted, specifically, a blank voxel grid model, a tool body voxel grid and a triangular grid are built; s2, performing a first simulation stage of low-precision real-time cutting dominated by voxel grids, judging a space overlapping relationship between the tool body voxel grids and the blank voxel grids in real time so as to determine a voxel region to be removed, and deleting blank voxels in the overlapping region through Boolean operation; s3, in the execution process of the first simulation stage, monitoring a preset multi-dimensional switching trigger condition in real time, and when any condition or a combination of multiple conditions is met, entering a second simulation stage; and S4, a second simulation stage of high-precision real-time cutting with the triangular network as the dominant is carried out, the voxel grid intermediate workpiece is converted into a transition triangular grid, and high-precision cutting calculation is carried out based on the triangular grid. And the efficiency-precision contradiction is broken through through a staged strategy.

The invention relates to the technical field of MOS semiconductors, and discloses a vertical D-MOSFET with trench isolation and an improved channel structure and a preparation method, the vertical D-MOSFET comprises a plurality of MOS cells which are parallel to one another, each MOS cell comprises a drain electrode, a source electrode, a grid electrode, a grid oxide layer and a semiconductor epitaxial layer, the semiconductor epitaxial layer comprises an N substrate layer, an N diffusion layer, a P + layer, a P well layer and an N well layer, the profile of the cross section of the grid electrode is triangular, and a polycrystalline silicon covering layer is deposited at the junction of the grid electrode and the gate oxide layer; the profile of the cross section of the gate oxide layer is in a semi-elliptical shape, and the profile of the cross section of the polycrystalline silicon covering layer is in a triangular shape. The section profile of the grid electrode is designed to be triangular, the grid oxide layer is controlled to be in a semi-oval shape, electric field distribution and a carrier migration path are optimized, the triangular grid electrode can reduce electric field concentration at the edge of the grid electrode, and the breakdown risk is reduced.

The invention discloses a flood dynamic display method and device, equipment, a medium and a product. The method comprises the steps of performing grid reconstruction on irregular quadrilateral grid data at a plurality of moments based on a triangulated irregular network algorithm, and generating first triangular grid data at the plurality of moments; extracting a target quadrilateral grid from the irregular quadrilateral grid data at multiple moments; determining second triangular mesh data at multiple moments corresponding to the target quadrilateral mesh in the first triangular mesh data at multiple moments; constructing an index structure of the second triangular mesh data based on the index identifier, the first mapping relationship and the second mapping relationship; based on the second triangular mesh data and the index structure, generating a to-be-rendered dynamic water surface data set; and based on a time sequence and a multi-normal superposition rendering technology based on a graphic interface, generating visual data representing dynamic changes of the water surface. In this way, the visualization effect and performance of flood routing simulation are improved.

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 utility model discloses a silicon capacitor electrode structure and a silicon capacitor, which can further improve the capacitance of a capacitor in a limited space by nesting, combining and arranging a plurality of groups of element arrays distributed in a triangular grid mode more reasonably and precisely, so that the capacitor can store more charges.

The invention is suitable for the technical field of garment customization, and particularly relates to a garment customization 3D simulation and process sheet automatic generation method based on artificial intelligence, and the method comprises the steps: providing basic data support through obtaining garment customization parameters; three-dimensional parameter modeling is carried out based on the garment customization parameters, a three-dimensional fitting model corresponding to the garment customization parameters is determined, and the garment upper body effect is visually displayed; performing discrete grid division on the three-dimensional fitting model to obtain a first triangular grid topology corresponding to the three-dimensional fitting model; performing physical constraint iteration on the first triangular mesh topology based on the garment customization parameters to obtain a second triangular mesh topology corresponding to the three-dimensional fitting model; based on the second triangular mesh topology, a customization process sheet corresponding to the garment customization parameters is obtained, simulation and process sheet integration is achieved, the garment making efficiency and quality are effectively improved, and cut-part sewing errors are reduced.

The invention relates to the technical field of motor monitoring, and particularly discloses an intelligent monitoring system based on a rare earth permanent magnet variable frequency motor. A surface-mounted rare earth permanent magnet synchronous motor adopts a surface-mounted design, the motor is embedded into a magnetic material, a rotor and a stator magnetic field operate synchronously during normal work, and a rotor winding has no induced current; rotor resistance and hysteresis loss do not exist, the efficiency of the motor is improved, and the permanent magnet variable frequency motor not only can reduce resistance loss, but also can effectively improve a power factor; magnetic stability analysis, operation simulation and temperature screening are integrated, a section temperature extreme point is excavated, a time sequence trend of the section temperature extreme point is tracked, a core heat source is accurately positioned, and a heat source area is divided according to a preset threshold value based on a triangular mesh, so that real-time identification and partitioning of the internal heat source of the motor are realized, the internal core heat source is accurately positioned, and overheating of a blind area is avoided; and in combination with the temperature-dependent demagnetization boundary, the magnetic safety margin is calculated in real time, early warning or load limiting is performed in time, and irreversible demagnetization is prevented.

The invention discloses an urban rainfall flood simulation-oriented building modeling method based on point cloud data, and belongs to the technical field of urban hydrological modeling, and the method comprises the steps: carrying out the neighborhood search of the rasterized point cloud data, constructing a covariance matrix according to a neighborhood point set, and carrying out the eigenvalue decomposition to obtain a normal vector; plane feature points and slope feature points are determined by extracting vertical components of normal vectors, and then the number of the plane feature points and the number of the slope feature points are counted to determine the building type; projecting the point cloud data to an XOY plane to generate a regularized contour boundary; if the building is a flat roof building, combining the regularized contour boundary with a preset earth surface model to obtain a building model; and if the building is a pitched roof building, constructing a triangular grid through the point cloud data, and combining the triangular grid with a preset earth surface model by using the regularized contour boundary to obtain a building model. According to the method, the problems of low modeling efficiency and geometric distortion caused by incapability of constructing an adaptive model based on a building type in the prior art are solved.

The invention discloses a numerical simulation method for a river water and sediment transportation process based on a multi-GPU parallel framework. The method specifically comprises the following steps: dividing a calculation region into triangular grid calculation regions with the same number as GPUs; the variables are initialized; creating two CUDA flows to control parallel calculation of the two GPUs, and storing data of each river channel into the corresponding GPU; directly carrying out data communication between the GPUs; in each GPU, calculating a source item and flux of each triangular grid to obtain a water depth value, and calculating a water level value of each grid according to the water depth; according to the obtained water level value, water level result data calculated in each GPU are stored in a CPU to complete water level data merging; and calculating to obtain the water level values of each river reach and the outlet section of the river at each moment. According to the river sediment transportation process simulation method based on triangular grid multi-GPU parallel computing, the water and sediment transportation process of the river area can be efficiently simulated, and the water level value of the section can be rapidly predicted.

The invention relates to the technical field of computer graphics, in particular to a three-dimensional geological section real-time cutting method and system and a storage medium, and the method comprises the steps: constructing a BVH tree to accelerate the cutting of a three-dimensional geological model, and calculating the projection of intersecting line segments on a cutting surface two-dimensional coordinate system to obtain a projection line segment set; constructing an undirected graph structure based on the projection line segment set; and extracting a closed profile contour based on the undirected graph structure, subdividing a triangular grid, and rendering and displaying. The implementation of the scheme can break through the traditional preprocessing dependence, and improve the profile generation efficiency and the visualization integrity.

The invention relates to the technical field of twinborn model construction, in particular to a transformer substation twinborn model construction method based on a VR virtual reality technology, and the method comprises the steps: obtaining dense point clouds of transformer equipment in a transformer substation scene, carrying out the meshing of all dense point clouds, and recording the vertexes of all obtained triangular grids as triangular point clouds; calculating a steep coefficient, a coplanar representation value, local complexity, a degradation evaluation value and a degradation contribution degree of each triangular grid; determining a distortion evaluation value; and for the distribution position of each trigonometric point cloud on the transformer equipment, determining the reconstruction weight of each trigonometric point cloud, performing three-dimensional reconstruction on the transformer equipment in the transformer substation scene, and constructing a transformer substation twinborn model. The transformer equipment twinborn model in the transformer substation scene is closer to the original condition, small and medium-sized equipment in the transformer substation scene is modeled more finely, and the visualization effect of the transformer substation twinborn model is improved.

The invention discloses a dual circularly polarized phased-array antenna based on triangular grid arrangement. A phased-array antenna module sub-array is formed by triangular grid arrangement of phased-array antenna units; the radiation unit adopts a cross oscillator with a gradual change structure, the impedance matching is improved, and a feed network of a three-branch linear bridge is matched, so that the impedance bandwidth of the antenna is improved, and the requirements of more communication frequency bands are met; the orthohexagonal antenna unit appearance and the metal partition wall are adopted, so that mutual coupling between the antenna units is reduced, and the isolation degree between the antenna units and the overall performance are improved; triangular grid arrangement is adopted, and the problems that the scanning range of a traditional rectangular array is limited, and grating lobes are prone to occurring during large-angle scanning are solved; the device has higher polarization purity and lower cross polarization level, supports quick splicing of N * N subarrays, and has the advantages of simple structure, low cost and easiness in processing.

The invention provides an intelligent grading identification method for a potential infiltration risk area of a drainage pipe network, and relates to the technical field of risk identification of the drainage pipe network. Establishing spatial relation mapping between triangular grid units of the surface water-underground water coupling model and pipe sections of the drainage pipe network model, calculating hourly liquid level difference time sequence data by utilizing underground water level time sequence data and corresponding pipe section liquid level time sequence data which are obtained through simulation calculation, and constructing risk indexes according to the hourly liquid level difference time sequence data; and then constructing an uncertainty scene sample set and respectively inputting the two models to obtain corresponding simulation calculation results, calculating to obtain a risk index corresponding to each pipe section, and judging a grading result of a potential infiltration risk area according to the risk indexes. Simulation calculation and intelligent diagnosis analysis are fused, and efficient identification of the potential infiltration risk area of the drainage pipe network is achieved on the premise that large-scale sensor deployment is not needed.

The invention discloses a mixed three-dimensional data processing method and device, a program product and a storage medium, and relates to the technical field of three-dimensional data processing, and the method comprises the steps: obtaining scene data and rendering parameters; for any rendering pixel, determining an intersection point of the projected light and the nearest object surface in the first object set after the projected light is emitted; performing color accumulation on the path of the projection light through the three-dimensional data in the neural network format to obtain the path color of the projection light, and superposing the path color of the projection light with the initial color of the projection light and the color of the three-dimensional data in the triangular grid format at the final position of the projection light to obtain the initial color of reflected light; and taking the reflected light as the projection light to continue iteration to obtain the final color of the rendering pixel, and generating a rendering image based on the final color of each rendering pixel. The problem that processing of heterogeneous three-dimensional data is not supported is solved, and the technical effect of effectively rendering the heterogeneous mixed three-dimensional data including the triangular mesh data and the three-dimensional data based on the neural network is achieved.

The invention relates to the technical field of intelligent power transmission and distribution line emergency lighting and unmanned aerial vehicle dynamic deployment optimization, and discloses a power transmission and distribution line emergency repair lighting system and method based on wireless networking unmanned aerial vehicle lighting. Establishing a two-dimensional coordinate and an equilateral triangle mesh, and taking a center coordinate; setting the upper limit and height of the unmanned aerial vehicle, establishing an illumination cone, obtaining a light spot radius according to an opening angle, and comparing a grid distance with the radius to judge that irradiation can be performed; the illuminance is accumulated and compared with a threshold value to reach the standard; taking a substandard proportion as a target and setting an overlapping proportion and a safety center distance as constraints; assuming the candidate points one by one, deploying the maximum gain, heightening or adjusting the angle of the gap area and rechecking the constraint; calculating a link threshold according to field parameters to construct an ad hoc network, and selecting a relay to recover disconnection; performing balanced scheduling by using the average deviation and the neighborhood positive gap after the global standard is reached; and finally activating the recording parameters and summarizing the situation map.

The invention discloses a bridge deck slab wet joint fine finite element simulation method based on three-dimensional scanning, and relates to the technical field of bridge engineering, and the method comprises the steps: carrying out on-site three-dimensional scanning to obtain wet joint chiseling interface morphology contour data, and obtaining three-dimensional point cloud data; performing data restoration on the three-dimensional point cloud data; curved surface splicing optimization is carried out based on the point cloud data, the number and size adjustment of triangular grids is simplified, and a three-dimensional curved surface model is reconstructed; performing curved surface closing and repairing on the three-dimensional curved surface model, and converting the three-dimensional curved surface model into a three-dimensional solid model; carrying out finite element modeling and analysis on the three-dimensional solid model; obtaining a finite element result of the bridge deck concrete wet joint interface, and evaluating the cracking risk of the concrete wet joint according to a calculation result; according to the method, the actual cracking and damage conditions of the joint interface can be accurately reflected by adopting the real appearance modeling of the wet joint, and the method has important guiding significance on the crack resistance evaluation and optimization design of the wet joint of the bridge deck slab.

The application discloses an aircraft grid generation method and device based on conformal mapping and topological segmentation, equipment and a storage medium, relates to the technical field of computational fluid dynamics, and comprises the following steps: generating a surface unstructured grid according to an aircraft model, conformally mapping the surface unstructured grid to a parameter domain plane grid through Ricci flow, and calculating the compression rate of the parameter domain plane grid; if the compression rate is less than a first threshold value, extracting an isoline corresponding to a second threshold value; locating a triangular grid corresponding to an isoline discrete point in the parameter domain plane grid by using a spatial partition algorithm, inserting the discrete point into the grid according to the vertex distance and edge distance relationship, forming a closed internal boundary through a one-dimensional boundary recovery operation, and determining a corresponding region; inversely mapping the region back to a three-dimensional surface, updating the surface grid, and repeating the mapping and judging steps until the compression rate meets the requirement, and setting the parameter domain plane grid as a target aircraft grid, so that the efficiency of generating the aircraft grid is improved.

The invention relates to the technical field of urban flood simulation, in particular to an urban flood simulation method based on a physical information neural network and multi-GPU calculation. The method comprises the following steps that a computational domain in urban flood simulation is divided into triangular grids, a data matrix is established, a solving process is divided into reconstruction calculation, flux calculation, bottom slope and friction source item calculation and flux updating, and then a two-dimensional shallow water equation finite volume solving process is constructed; a physical information neural network is used for replacing a numerical calculation step in a finite volume solving process of a two-dimensional shallow water equation, a simulation prediction model is obtained through training of the physical information neural network, and the simulation prediction model is used for rapid calculation of a surface runoff process; simulation coupling is carried out on the urban pipe network drainage process and the surface runoff process in urban flood simulation, and a drainage calculation model is constructed. According to the invention, rapid, stable and extensible simulation of large-scale urban flood is realized through an urban flood simulation technology.

This invention relates to the field of orchard navigation technology, specifically a 3D method for orchard operations based on a grid map. The method includes: constructing an orchard point cloud map using a mapping algorithm; filtering the acquired 3D point cloud map and constructing a triangular grid map of the orchard, embedding the orchard's GPS information into the triangular grid map; based on the triangular grid map with GPS information, performing ICP registration between the point cloud data scanned by the LiDAR and the points on the triangular grid map using the RMCL 3D positioning algorithm, outputting the 3D pose of the operation robot in the orchard; updating the 3D pose of the operation robot in the orchard using GNSS information; planning the navigation path of the operation robot using grid navigation based on the GPS information of the target point; and controlling the operation robot to dynamically avoid obstacles and navigate to the target point. This invention enables precise positioning and autonomous navigation of the operation robot in hilly orchards, allowing it to complete tasks such as orchard inspection, plant protection, harvesting, and transportation.

The invention belongs to the field of earthquake and stress distribution calculation, and particularly relates to an earthquake deformation and stress distribution calculation method and system based on a Green function. The method comprises the following steps: acquiring a triangular mesh and a to-be-measured point of a fault; constructing an earth fixed coordinate system, a triangular dislocation coordinate system and an angular dislocation coordinate system based on the triangular mesh of the fault; determining a transformation matrix to obtain a coordinate system; calculating interior angles of three vertexes of the triangular mesh in the coordinate system and corresponding supplementary angles, selecting equivalent configuration based on the supplementary angles, calculating barycentric coordinates of orthogonal projection of the to-be-measured point on the triangular dislocation plane, and selecting configuration based on a partition inequality of the barycentric coordinates; according to configuration, a Burgers function is obtained through calculation by using a solid angle formula, incomplete displacement contributions of all angular dislocations are superposed, and a complete displacement field containing slip continuity correction is obtained; a stress field is calculated based on a complete displacement field or through a Green function of strain. And the seismic deformation and stress distribution calculation performance is obviously improved.

The invention discloses a terrain generation and import system and method based on geographic raster data. The system comprises a raster format data analysis module used for extracting an elevation matrix and size parameters of TIFF format digital elevation model data; the three-dimensional grid generation module is used for generating a regular triangular grid based on the elevation matrix; the file standard format export module is used for serializing the grid data into an OBJ format and generating a matched MTL material file; and the dynamic import module is used for analyzing an OBJ file through an Assimp library and creating interactive terrain assets in an unreal engine 5. The problems of low efficiency, precision loss, lack of real-time performance and complex operation in traditional topographic data processing are solved, and real-time visualization of topographic data is realized by automatically analyzing TIFF format DEM data, converting the TIFF format DEM data into an OBJ format three-dimensional model and dynamically importing the OBJ format three-dimensional model in an unreal engine 5. The system improves the automation degree and application efficiency of terrain processing, and is suitable for the fields of geographic information systems, game development, virtual simulation and the like.

The application discloses a kind of soil organic carbon three-dimensional space mapping methods of fusing ground visible near infrared spectrum, it is related to soil property prediction technical field, in the method: based on the range of study area setting sampling point, extracts training set sampling point surface field ground visible near infrared spectrum principal component data, application Kennard-stone algorithm optimization reduces training set sampling point to one fourth, then obtain the field ground visible near infrared spectrum and soil organic carbon data of different depth of sampling point profile, and determine the best triangular grid parameter;Then construct SPDE model and solve using finite element method, make Gaussian Markov random field as spatial random effect, the principal component data of field ground visible near infrared spectrum of different depth of each sampling point profile as environmental covariate, application INLA model is carried out soil organic carbon three-dimensional space prediction, obtain the posterior distribution estimate, and soil organic carbon three-dimensional space mapping is carried out accordingly.The application can quickly obtain field ground visible near infrared spectrum, improve data acquisition efficiency, while fusing field ground visible near infrared spectrum principal component data, improve model prediction accuracy.

The invention provides an electromagnetic scattering modeling method based on a learnable primary function, and relates to the technical field of radar detection and remote sensing imaging, and the method comprises the steps: carrying out the parameter analysis of a discrete triangular mesh on the surface of an electromagnetic scattering three-dimensional conductor target, and obtaining an initial feature set composed of mesh edge features, surface patch geometric features and geometric and incident parameters; based on the learnable basis function, constructing a current prediction model by using the local branch layer, the global branch layer and the feature fusion layer; based on a residual error loss function, training a current prediction model by using the initial feature set to obtain a trained current prediction model, and completing electromagnetic scattering modeling; the trained current prediction model is used for analyzing the discrete triangular mesh to obtain a plurality of induced current distribution of each patch. The electromagnetic scattering modeling method solves the problems that an existing electromagnetic scattering modeling method depends on specific physical approximation and is high in calculation complexity.

The application discloses a gradient coil design method and device, electronic equipment and a storage medium, applied to the technical field of superconducting magnetic resonance imaging systems, in order to solve the problems of large coil inductance and decreased magnetic field climbing rate, the gradient coil is an axisymmetric gradient coil, the method can obtain a triangular grid corresponding to the skeleton surface by discretizing the skeleton surface to be wired, then further performs flow function calculation according to the triangular grid, determines the corresponding initial flow function distribution, minimizes the flow function extreme value as a first objective function, and combines the first preset boundary condition to perform first nonlinear programming on the initial flow function distribution to obtain a new flow function distribution; and the parameter information of the gradient coil is determined according to the new flow function distribution. In the application, the flow function extreme value is taken as the first objective function, the flow function distribution is optimized, the inductance is minimized, the linearity of the gradient magnetic field is improved, and the demand of the fast imaging scene is better met.

The invention discloses a riverway two-dimensional flow field drawing method based on triangular grids, which comprises the following steps of: firstly, reconstructing a triangulation network by taking a central point of each triangulation network as a vertex, and enabling each vertex to have flow field data; then calculating the length and width of a bounding rectangle in a grid range, setting the side length of a grid, and generating a grid point set; generating a trace by taking the grid point as a seed point, and dynamically adjusting the trend and the step length of the trace by calculating a flow field vector, an azimuth angle and a prediction point position; calculating a trace buffer area by using an angular bisector method to avoid intersection of traces; and repeating the steps until trace generation of all points is completed. According to the method, the density of the traces can be changed along with the density of the grids, the flow field condition of a focused region is reflected while the traces are uniformly distributed, the traces are not intersected, the node spacing is dynamically adjusted, the details of the flow field are expressed by using the least data, the data volume and the calculation precision are effectively optimized, and an efficient tool is provided for the research of the flow field of the river channel.

The application provides a CAD model reconstruction method and device for topology optimization results, and relates to the technical field of computer modeling. The method comprises the following steps: grid preprocessing, component type grid segmentation, sheet type grid segmentation, obtaining at least two sub-grid sheets, parameterizing each sub-grid sheet to obtain a final parameterization result, performing uniform interpolation sampling based on the final parameterization result to obtain sampling points, generating a spline surface by using the sampling points, assembling the spline surface, and generating a reconstructed CAD model corresponding to the three-dimensional topology optimization result. The grid model reconstruction method has the advantages of high automation degree, strong realizability, simple operation, etc., is not limited to a tubular topology optimization structure, has no obvious difference in processing tubular and non-tubular model characteristics, has stronger universality, can adapt to the diversity demand of industrial structure optimization, and can improve the reconstruction efficiency and reconstruction effect of the triangular grid model to the CAD model.

The application belongs to the field of finite element grid encryption, and specifically provides a two-dimensional finite element grid non-conformal h-type adaptive encryption method to overcome the shortcoming that the traditional finite element method cannot perform non-conformal encryption. The application adopts a normalized edge-based function to process a non-conformal area in a triangular grid, so that the finite element method can solve unknown electric field intensity by using a non-conformal grid, and then calculate a numerical solution of a radar scattering cross section by using the obtained electric field intensity. In combination with an error estimation method, the application can freely encrypt a grid with a large error contribution, and can efficiently reduce the error between the numerical solution and the true solution. The application effectively avoids the increase of distorted grids in the encryption process without introducing additional unknown quantities, and ensures the grid quality. Meanwhile, the application realizes grid adaptive encryption, and can reduce unknown quantities and improve the solving precision compared with uniform encryption.

The invention discloses a triangular mesh shape-finding optimization method based on GH and fluid dynamics. The method comprises the following steps: step 1, storing a triangular mesh needing shape-finding optimization in a tool of a Grasshopper parameterization process in a datamation form; step 2, applying a force to each side of the triangular unit to homogenize the triangular unit; and 3, restoring the plurality of triangular optimization units into the triangular mesh to form the triangular mesh after shape finding optimization. The invention relates to the technical field of building external envelope engineering, and can solve the problems that in the prior art, triangular grid units are not uniform in side length, and triangular geometrical shapes are classified in multiple types.

The present invention discloses a data mining method for uncertainty quantification of gas turbines based on cubic convolution. Raw dense grid vertex data is generated using the geometric parameters of the gas turbine and the gas-thermal parameters to be studied. An initial Delaunay triangular grid is constructed on the grid vertices, and after data sparsification, a sparse Delaunay triangular grid is constructed. Then, a sparse regular rectangular grid is generated, and the gas-thermal parameters and their uncertainty indices of each grid vertex of the sparse regular rectangular grid are calculated. Subsequently, a dense regular rectangular grid is generated, and using the double BiCubic function cubic convolution method, the uncertainty indices of the gas-thermal parameters of each grid vertex of the dense regular rectangular grid are obtained. Finally, the spatial coordinates of each grid vertex of the dense regular rectangular grid and the uncertainty indices of the gas-thermal parameters are input into the open-source computing library matplotlib to generate a distribution cloud map of the uncertainty indices of the gas-thermal parameters.