28 results about "Volume mesh" patented technology

A computer-implemented process for creating 3D objects from 2D images includes receiving an input image, conditioning a generative model using image-derived, voxelized three-dimensional features, generating, by a transformer-based rectified-flow generative model parameterized as a base network optionally coupled to one or more low-rank adapter modules activatable at inference, a volumetric latent of the target object, the volumetric latent including a sparse, feature-augmented volumetric lattice obtained by transporting an initial random sample toward a learned manifold via a rectified-flow sampling process, decoding the volumetric latent by mapping the volumetric latent to a feature-bearing sparse volumetric field consistent with the volumetric lattice, decoding the field to a continuous implicit surface function, and extracting a watertight mesh by isosurface extraction, estimating camera-pose parameters by render-and-compare alignment between silhouettes rendered from the mesh and silhouettes of the input image, and, performing style-preserving inverse rendering on the mesh that updates UV-space albedo and material maps.

The invention relates to the technical field of medical image processing and three-dimensional reconstruction, and particularly discloses a reconstruction and analogue simulation method based on a cardiac image. The method comprises the following steps: firstly, preprocessing an input CT or MRI medical image, and automatically segmenting a heart multi-tissue structure by using an nnUNetv2 model, including a plurality of anatomical regions such as atrium, ventricle, myocardial tissue and blood pool; and then performing topology repair, smoothing processing and label resampling on the segmentation result to obtain a three-dimensional label body with a continuous structure and a complete boundary. And based on the optimized tag body, constructing a heart three-dimensional surface model by adopting a Marching Cubes algorithm, and generating a multi-material volume grid suitable for finite element analysis. According to an electrode position and a radio frequency parameter set by a user, a radio frequency ablation simulation model based on a Pennes biological heat conduction equation and an Arrhenius model is established, a temperature field and a tissue thermal damage range are calculated, and a simulation result is displayed in a three-dimensional mode in an overlapping mode. According to the method, the integrated process from medical image automatic segmentation to heart three-dimensional reconstruction and thermal simulation is realized, the segmentation precision, the modeling efficiency and the simulation reliability are improved, and the method can be applied to application scenes such as surgical planning, preoperative evaluation and medical teaching.

This invention relates to a method for simulating airflow modeling in cleanrooms of electronic factories, belonging to the field of simulation modeling technology. It solves the problem that existing modeling methods cannot simultaneously guarantee accuracy and speed / efficiency. The method includes: obtaining 3D information of simulation primitives based on various design drawings of the cleanroom; performing modeling in CFD preprocessing software based on the 3D information of the simulation primitives to generate a geometric model; treating all FFUs and all raised floors in the geometric model as a single unit corresponding to a face; meshing the geometric model, using each vertex of each FFU and each raised floor in the simulation primitives as virtual nodes; reconstructing the face mesh of the FFUs and raised floors; optimizing all face meshes; and then reconstructing and optimizing the volume mesh to obtain the input model for airflow simulation calculations. This method simultaneously improves modeling efficiency and accuracy.

The application relates to an aeration equipment automatic collaborative scheduling method and system based on reinforcement learning. The method comprises the following steps: acquiring aeration tank heterogeneous measurement data, processing the aeration tank heterogeneous measurement data through a three-layer clock alignment mechanism to obtain multi-source observation data with a global unified timestamp; inputting the observation data into a finite volume grid physical model, and correcting the observation data through ensemble Kalman filtering assimilation and Lagrange reverse tracking to obtain an aeration tank space-time state field; performing feature compression and fusion on the state field to obtain a high-dimensional feature vector, and mapping the high-dimensional feature vector to generate an action set; inputting the action set into a gray box digital twin model to deduce an expected return; selecting an optimal action and converting the optimal action into an instruction to input an aeration equipment control system. The method can solve the problems of multi-source data space-time asynchronization and state representation physical distortion, improve the strategy generalization ability and training efficiency, reduce the trial and error cost, realize the collaborative scheduling of the aeration equipment, and balance the water quality standard and energy saving and consumption reduction.

A method and system are provided for manufacturing an object using a mechatronic positioning system comprising an end effector (110) The object may be manufactured as a physical representation of a volumetric mesh model by: a. providing a straight rod (142) to physically represent an individual edge of the mesh model; b. with the end effector, causing the rod to assume a position and orientation relative to a previously manufactured part of the object at which position an end (144) of the rod contacts or is in welding proximity of an end of at least one previous rod of the previously manufactured part of the object; c. welding the end of the rod to the end of the at least one previous rod to physically establish a node connecting two or more individual edges of the mesh model; and repeating steps a)-c) for respective individual edges and nodes of the mesh model to iteratively build up the physical representation of the mesh model.

The invention provides an Ai nutrition screening detector and a detection method, when the Ai nutrition screening detector is applied, an automatic screening process can be carried out: step 1, a user stands on a detection platform in a barefoot manner, an electrode automatically identifies foot contact, and BIA scanning is synchronously completed within 60 seconds; the millimeter-wave radar captures a complete respiratory cycle; the optical system generates a 3D volume mesh model; 2, the detector uploads detection data to an edge server; and step 3, the edge computing node operates the MFN nutrition risk detection model to generate a nutrition risk report. Intelligent nutrition detection analysis is achieved, user nutrition risk scores and intervention suggestions are output, multi-modal nutrition index analysis and fusion prediction are achieved, multi-modal nutrition screening detection is achieved, the application range is large, the method is suitable for detection of different user crowds, AI technical support is utilized, the defects of manual calculation and analysis and single-computer calculation and analysis are overcome, and the user experience is improved. The AI technology is fused into the nutrition screening detection technology, and the intelligent detection effect is achieved.

The present application belongs to the technical field of solid engine nondestructive testing and finite element analysis, and relates to a solid engine finite element analysis method based on CT image fusion modeling, which comprises the following steps: step S1: performing CT step-by-step scanning on key positions of a defect high-occurrence area of a solid engine to be tested to obtain real CT images of the defect part; step S2: constructing a cross-section model of a part to be simulated, simulating CT data of an unscanned area, and generating a simulated CT image; step S3: fusing the real CT image and the simulated CT image to generate a triangular facet mesh model; step S4: importing the triangular facet mesh model into 3-matic software to generate a volume mesh model that can be used for finite element analysis; and step S5: importing the volume mesh model into Abaqus finite element analysis software to perform health state evaluation. The present application fuses the simulated CT image and the real CT image, and effectively reduces the detection cost and technical difficulty.

An encoding method is provided and includes: obtaining a volumetric mesh; performing mesh segmentation of the volumetric mesh to generate multiple segments of mesh content; performing mesh decimation of a segment of mesh content to generate a base mesh; performing mesh subdivision of the base mesh to generate multiple subdivided base meshes; calculating multiple mesh displacements between the multiple subdivided base meshes and an original volumetric mesh surface to generate multiple transformed displacement coefficients; converting the multiple transformed displacement coefficients to multiple quantized transformed displacement coefficients; scanning the multiple quantized transformed displacement coefficients along a three-dimensional space scanning pattern within each level-of-detail to form three one-dimensional arrays; and re-arranging the multiple quantized transformed displacement coefficients in the three one-dimensional arrays to a two-dimensional image according to the each level-of-detail and a packing order indicated by a specific flag.

A computer-implemented method for generating a virtual chimera population of multi-part organ shapes for use in in silico testing, where the organ shapes are represented as surface or volumetric meshes, is provided, the method including: using a part-aware generative model to learn a latent representation of each part of the multi-part organ shape to be included in the virtual population and outputting composite parts of the multi-part organ shape; using a spatial configuration model to align the output composite parts of the multi-part organ shape and output anatomically significant instances of the entire multi-part organ shape as virtual chimeras; and storing the virtual chimeras in the virtual population for use in in silico studies. Also provided are an apparatus and a computer-readable medium for practicing this method.

The present invention presents a computer-implemented method for automatically identifying and sealing gaps in geometrical or three-dimensional models for simulation. The method involves creating a multi-volume mesh of the model, defining boundaries to distinguish inside and outside regions, and solving the Laplace equation to identify gaps. By adjusting the iso-surface of the equation's primary variable, the gaps are sealed at desired locations. The model is then divided into distinct inner and outer volumes. The process reduces manual intervention, ensures accurate simulation preparation, and allows user interaction for boundary definition and visualization. The invention streamlines model preparation for simulations, enhancing the efficiency and accuracy of design validation across various industries and allowing much more efficient analysis.

A computer-implemented method of generating a thin volume mesh in a Computer-Aided technology (CAx) model of an object is described. In the method, a volume region lying between a first surface mesh having a first set of mesh parameters and a second surface mesh having a second set of mesh parameters is selected. This volume region has a thickness corresponding to the distance between the first and second surface mesh. prismatic cell volume mesh is generated to fill the entire volume region when the volume region is thin. Whether or not the volume region is thin is given by a crisp value calculated using a fuzzy logic inference scheme including the fuzzy sets thin and non-thin, and wherein the relationship between the first and second sets of mesh parameters and the thickness determine the membership of the fuzzy sets thin and non-thin.

A method to position a robotic surgical system. The method includes generating a first three-dimensional (3D) model of the robotic surgical system, a second 3D model of a patient, and a planned surgical pathway. The first 3D model is represented by a set of polygon meshes but not by any volumetric mesh. The method includes selecting a first candidate position to position the first 3D model in a virtual environment, simulating movements or rotations of the first 3D model in the virtual environment; and determining whether a collision associated with the first 3D model occurs based on the simulated movements or rotations. The method includes generating status information of the first candidate position.

A technique generates a hierarchical three-dimensional structure or volume mesh and uses intelligent compaction using a Barycenter compact model. Any primitive cells or blocks can be represented physically by a Barycenter compact model (or Barycenter model), and any black box model can also be physically represented by a Barycenter compact model physically. A boundary condition between blocks is formulated by the Barycenter compact model. Boundary condition problems between blocks can be limited within two levels only if using the Barycenter compact model. A technique generates a hierarchical three-dimensional volume mesh and uses intelligent compaction using a Barycenter compact model.

The application relates to a three-dimensional mesh processing optimization method, device, equipment and medium in geometric modeling, wherein the method comprises the following steps: acquiring an initial coarse mesh, converting surface triangles in the initial coarse mesh into a fixed-length binary file; writing the surface triangles in the fixed-length binary file into a surface stream file, reading the surface stream file in batches to perform multi-round surface refinement, and generating a local volume mesh; writing new points in the local volume mesh into a point table file, converting tetrahedrons in the local volume mesh into a tetrahedron stream file; extracting internal edge requests of each tetrahedron and generating an edge key, performing hash slicing and deduplication on the edge key, generating a midpoint for each unique internal edge, performing multi-round tetrahedron refinement based on the generated midpoint, and obtaining a refined volume stream file; and constructing a result external storage mesh file and outputting post-processing information. The whole scheme can significantly reduce the memory occupation peak value in the three-dimensional mesh processing process in geometric modeling.

Embodiments of the present invention relate to a method to position a robotic surgical system. The method includes generating a first three-dimensional (3D) model of the robotic surgical system, a second 3D model of a patient, and a planned surgical pathway. The first 3D model is represented by a set of polygon meshes but not by any volumetric mesh. The method includes selecting a first candidate position to position the first 3D model in a virtual environment, simulating movements or rotations of the first 3D model in the virtual environment; and determining whether a collision associated with the first 3D model occurs based on the simulated movements or rotations. The method includes generating status information of the first candidate position.

The invention belongs to the technical field of solid engine nondestructive testing and finite element analysis, and relates to a solid engine finite element analysis method based on CT image fusion modeling, and the method comprises the following steps: S1, carrying out key part CT step-by-step scanning on a defect high-incidence area of a solid engine to be detected, and obtaining a real CT image of a defect part; s2, constructing a section model of a to-be-simulated part, simulating CT data of an unscanned area, and generating a simulated CT image; s3, fusing the real CT image and the simulation CT image to generate a triangular patch mesh model; s4, the triangular patch mesh model is imported into 3-matic software, and a volume mesh model capable of being used for finite element analysis is generated; and S5, importing the volume mesh model into Abaqus finite element analysis software, and carrying out health state evaluation. According to the method, the CT image generated through simulation is fused with the real CT image, so that the detection cost and the technical difficulty are effectively reduced.

This application provides an automatic RTM mesh generation method based on implicit distance mapping and normal growth, comprising: acquiring a triangular mesh on the surface of a composite material part; obtaining a local normal field on the part surface by calculating the unit normal vector of each triangular facet; using the implicit distance field as the geometric representation basis, converting the layup thickness into a distance offset value according to the thickness mapping relationship to generate an enhanced initial reference surface; projecting points on the part surface onto the implicit distance field through the thickness mapping relationship, calculating the signed distance value of each point, determining the nested region affiliation, and obtaining supplementary nested space affiliation labels; using the optimized material region as boundary constraint conditions, performing voxel growth operations layer by layer along the local normal field of each layer to generate an initial volume mesh corresponding to each layup; and outputting the final solid mesh for simulation analysis of resin transfer molding process flow and curing.

A computer-implemented method of generating a volume mesh between two proximate, disjoint, and opposing mesh surfaces of a three-dimensional object in a modelling system is described. In the method, a projected volume is determined, wherein a mesh volume having a first topology is generated when the volume reaches the opposing mesh surfaces within a distance determined by the local mesh size. A second volume mesh with a different topology is generated when the projected volume does not reach the opposing mesh surface.

The application provides a configuration self-adaptive determination method and device based on an arbitrary configuration Lagrange finite element, equipment and a medium, comprising: obtaining an initial configuration of a problem to be analyzed; based on the mechanical state parameters of the cells and nodes of the current time step and the previous time step, a continuously changing configuration interpolation parameter and a target function are constructed; based on an optimization algorithm, the optimal configuration parameter that makes the target function reach the optimal value is searched in the configuration interpolation parameter, and the intermediate reference configuration corresponding to the optimal configuration parameter is taken as the target reference configuration of the current time step; the target reference configuration is subjected to global nonlinear finite element analysis, so that the state variable of the current time step is updated based on the target reference configuration. Numerical abnormalities such as negative volume and mesh flipping caused by serious distortion of the current configuration are effectively avoided, and the simulation efficiency and numerical stability of the nonlinear finite element analysis are improved.

The invention relates to a method for generating a volume mesh based on radial growth of a cylindrical surface mesh, and belongs to the field of electromagnetic engineering, and the method comprises the steps: reading cylindrical surface mesh data, including a point list P containing three-dimensional coordinates of Np points, a triangular unit list E containing vertex indexes of Ee triangular units, and a unit material list M; target units are screened through material matching; establishing a local coordinate system which meets a right-hand rule that a vector meets an orthogonal normalization condition, and performing coordinate transformation; performing radial mapping on the screening unit vertexes; inversely transforming the mapping points into a world coordinate system; generating a volume grid, and converting the six-vertex triangular prism into three four-vertex tetrahedron units by adopting a topological decomposition method; according to the method, the electromagnetic calculation precision is improved: in electromagnetic field design calculation, the cylindrical radial grid growth technology multiplies the resolution of the grids in the strong field region, and the calculation error of the resonant frequency is smaller than or equal to 0.3%.

The invention provides a dynamic grid surface corner region grid distortion processing method, which comprises the following steps of: in a dynamic grid numerical simulation process with a continuous dynamic boundary, identifying a grid distortion risk of a surface corner region; and when a grid distortion risk is detected, performing grid distortion suppression by adopting at least one of a conditional fairing method, an adaptive movement method and a directional movement method. According to the method, at least one of the conditional fairing method, the self-adaptive moving method and the directional moving method is adopted to restrain the mesh distortion in order to solve the mesh distortion problem caused by sudden change of the normal direction of the nodes in the surface corner area in dynamic mesh numerical simulation, the mesh distortion can be effectively relieved, the occurrence of negative volume meshes can be delayed, and the calculation robustness can be improved.

This invention discloses a multi-level partitioning constraint method and apparatus for general mesh deformation problems, relating to the field of mesh deformation technology in numerical computation. The method includes: reading mesh data; partitioning the object surface mesh into multiple levels; constructing a local radial basis function interpolation system within each partition using a greedy algorithm; using the difference between the previous level deformation result and the target deformation result as the deformation target to progressively correct the positions of the object surface and volume mesh nodes; calculating the global deformation using radial basis functions in the first level, and limiting the local deformation range using dual-constraint radial basis functions in non-first levels; accelerating the calculation of dynamic and static boundary distances using distance search based on K-dimensional tree pre-screening; and outputting the deformed mesh. This invention avoids the high cost of direct global solution through multi-level partitioning and hierarchical point selection strategies, significantly reducing the computational cost of constructing a radial basis function interpolation system in large-scale 3D mesh deformation while maintaining mesh quality and deformation accuracy, effectively improving the efficiency of deformation calculation.

The invention discloses a structure domination surface grid encryption method based on local self-adaption, and the method comprises the steps: firstly carrying out the preprocessing of an input grid, and obtaining a to-be-encrypted vertex of a to-be-encrypted region through the screening of a topological relation; secondly, by judging whether the encryption method selected by the user is a bisection method or a trisection method, an encryption template corresponding to the encryption method is loaded, for the bisection method, a vertex to be encrypted is divided into boundary points and internal points, and boundary point rings are extracted in sequence; then marking boundary points and internal points based on a boundary point ring according to the type of the encryption template; and finally, encrypting the to-be-encrypted area units containing the mark vertexes to obtain a final encryption result, and completing grid encryption. According to the method, high-quality encryption of the encryption area and good transition between the encryption area and the transition area are achieved, time loss caused by reading of many irrelevant units which do not need to be encrypted during encryption of a large-size grid is avoided, and the encryption speed is increased.

A technique generates a hierarchical three-dimensional structure or volume mesh and uses intelligent compaction using a Barycenter compact model. Any primitive cells or blocks can be represented physically by a Barycenter compact model (or Barycenter model), and any black box model can also be physically represented by a Barycenter compact model physically. A boundary condition between blocks is formulated by the Barycenter compact model. Boundary condition problems between blocks can be limited within two levels only if using the Barycenter compact model. A technique generates a hierarchical three-dimensional volume mesh and uses intelligent compaction using a Barycenter compact model.

The invention relates to a method for generating a three-dimensional grid based on radial growth of a conical surface grid, and belongs to the field of electromagnetic engineering, and the method comprises the steps: reading geometric parameters and discretization data of the conical surface grid, screening triangular surface units needing to be processed according to the number of a target material, and generating a to-be-processed unit list; establishing a local coordinate system C taking the axis of the cone as a reference, and converting the vertex coordinates to the local coordinate system C to obtain transformed coordinates; performing radial coordinate mapping on the triangular surface unit vertexes in the to-be-processed unit list, and inversely transforming each mapping point into a world coordinate system to obtain a grown vertex coordinate; and connecting the original triangular surface unit with the vertex coordinates after growth to generate a triangular prism mesh, decomposing the triangular prism mesh into tetrahedron units, and outputting a final volume mesh. According to the method, geometric self-adaptive deformation is realized, the unit quality is ensured, the curvature error of the conical surface is controlled within 0.1%, and efficient generation of ten-million-level grids is supported.

This invention belongs to the field of three-dimensional numerical simulation technology and proposes a method for extracting and post-processing numerical calculation data of a three-dimensional giant factory building flooding. The method includes: performing three-dimensional modeling and mesh generation of the large factory building; setting air as the primary phase and water as the secondary phase, acquiring transient data in "dat.h5" format and renaming it; for the transient data, extracting surface meshes where the secondary phase volume fraction exceeds a first predetermined value and volume meshes where the volume fraction is a second predetermined value within the computational domain, discarding other data of the secondary phase and surface and volume meshes where the primary phase volume fraction exceeds 99.9% within the computational domain, changing the data export mode to "legacy", outputting a "CGNS" format file, and sequentially acquiring all "CGNS" format files; importing the three-dimensional model into post-processing software as a background, and importing all "CGNS" format files into the post-processing software for image processing of the flooding simulation.

This invention proposes a method and system for generating manifold element meshes for geomechanical analysis, belonging to the fields of computational geometry, computer graphics, and geomechanics. The method includes: S1: using a geological volume mesh C as input, selecting a background mesh BKG and defining a mathematical cover; S2: using the background mesh BKG to cut the geological volume mesh C, dividing the geocell into multiple geological volume mesh sub-units (smallcells); S3: constructing a physical cover by analyzing the connectivity of geological volumes within and between each bkgcell in the mathematical cover; S4: extracting and outputting the manifold element mesh from the physical cover. The manifold element mesh generated by this method can be used for geomechanical analysis based on three-dimensional numerical manifold methods while preserving the information of the original volume mesh.

The invention provides a configuration adaptive determination method and device based on any configuration Lagrangian finite element, equipment and a medium. The method comprises the steps of obtaining an initial configuration of a to-be-analyzed problem; constructing a continuously changing configuration interpolation parameter and a target function based on the mechanical state parameters of the units and nodes of the current time step and the previous time step; on the basis of an optimization algorithm, optimal configuration parameters enabling the target function to reach an optimal value are searched in the configuration interpolation parameters, and a middle reference configuration corresponding to the optimal configuration parameters serves as a target reference configuration of the current time step; and performing global nonlinear finite element analysis on the target reference configuration to update the state variable of the current time step based on the target reference configuration. Numerical value anomalies such as negative volume and grid flipping caused by serious distortion of the current configuration are effectively avoided, and the simulation efficiency and numerical value stability of nonlinear finite element analysis are improved.