1206 results about "3D modeling" patented technology

The invention discloses a 3D printing path planning method based on electric arc additive anisotropy and a stress field, and the method comprises the steps: constructing a CAD three-dimensional model of a part, and obtaining the stress field of the part through finite element simulation; determining a slice plane; mapping the stress field to a slice plane to form a force flow line; according to the obtained force flow line, rotation transformation regeneration is carried out according to the anisotropy of the used electric arc additive, and a reference trajectory considering the anisotropy of the material is obtained; under the principle of alternate arc starting and extinguishing, the corresponding printing sequence in the layers and between the layers is further planned, and the reference trajectory lines are connected end to end to be planned into a continuous path; and generating a code file, and printing according to the printing sequence. The comprehensive mechanical property of a printed piece is improved.

The invention discloses a CAD automatic modeling method and system based on parameter driving. The method comprises the steps that model parameter information needing modeling is obtained; generating a CAD (Computer Aided Design) model on the basis of parameter analysis, geometric construction and surface recognition schemes; performing reverse reconstruction of the three-dimensional CAD model based on topology analysis, geometric feature extraction, pattern recognition and parameter relation inference; modeling, optimization and feedback evolution are carried out based on model analysis, feature learning and generation of parametric modeling rules; and according to the obtained data information, CAD automatic modeling based on parameter driving is completed. According to the method, CAD automatic modeling based on parameter driving is achieved, the reliability is higher, the accuracy is better, and the efficiency is higher.

The invention discloses a live-action three-dimensional dynamic change modeling method based on digital twinning. The method comprises the following steps: collecting multi-source data; carrying out space registration and time synchronization processing, and outputting a fusion data set; carrying out three-dimensional modeling, optimizing model parameters, and generating a live-action three-dimensional model; virtual-real mapping is carried out, and generated virtual space data and state parameters thereof are stored; performing differential analysis to generate a change detection result data set; performing dynamic change modeling to generate an updated virtual model; executing geometric accuracy optimization and semantic consistency check, and outputting an optimized virtual model; bidirectional data flow association and dynamic updating are executed, and the live-action three-dimensional dynamic change modeling process is completed. The real scene dynamic updating is realized by adopting the improved Gaussian sputtering modeling, and the method has the advantages of high precision, strong real-time performance and virtual-real synchronization.

The invention provides a spatial intelligent three-dimensional modeling method based on a two-dimensional structure design sketch image, and the method comprises the steps: carrying out the preprocessing of an input two-dimensional structure design sketch image, and obtaining a preprocessed design sketch image, extracting two-dimensional structure design features from the preprocessed design sketch image, and encoding the two-dimensional structure design features to generate structured tensor representation; deducing space components, function partitions and constraint logic based on structured tensor representation to construct a sketch semantic graph, nodes of the sketch semantic graph representing physical structure units, and edges of the sketch semantic graph representing connection relations and stress constraints among the physical structure units; determining a node embedding vector corresponding to each node in the sketch semantic graph so as to perform three-dimensional space coding on the node embedding vector to obtain a node potential vector, and generating a geometric reasoning sequence during three-dimensional structure geometric reasoning according to a mechanical logic definition on the basis of edges in the sketch semantic graph, and performing three-dimensional structure geometric reasoning based on the node potential vectors and the geometric reasoning sequence to generate a three-dimensional structure model.

The invention relates to the technical field of marine surveying and mapping and submarine topography modeling, and discloses a submarine topography and landform construction method based on multi-source water depth data fusion, which comprises a multi-source data acquisition module, a data preprocessing module, a feature extraction module, a fusion algorithm matching module, a three-dimensional modeling module and an uncertainty evaluation module. A historical submarine topographic map is converted into grid data, namely, submarine topography is discretized into digital representation of regular grid units, water depths of other sources are converted into the grid data, the precision of the water depths of different sources is evaluated by adopting a superposition comparison method, and an error distribution model is established to reasonably correct and fuse the water depth data of various sources. The innovation of the method lies in that topographic feature parameters including the gradient, the curvature matrix and the bionic optimization algorithm are introduced, the defect that a single algorithm is preset in a traditional method is overcome, and the precision of coral reef and fault zone complex areas is improved.

The invention relates to the technical field of water network intelligent management and control, and discloses a water network management and control multi-source space digital intelligent fusion base construction and decision optimization method, which comprises the following steps: cooperatively obtaining multi-source space data; format conversion, coordinate system unification and systematic semantic annotation are carried out through a data preprocessing platform, and a normalized spatial data set is formed; constructing a data fusion model, quantitatively evaluating the quality of a data source by adopting a fuzzy comprehensive evaluation method so as to determine a fusion weight, and performing weighted fusion by adopting a specific algorithm aiming at different data types such as vectors, grids and three-dimensional models so as to generate a unified spatial data model; and finally, a decision optimization system performs decision scheme generation and iterative optimization based on the model in combination with a hydrodynamic model and a genetic optimization algorithm. By establishing a standardized data processing and targeted weighted fusion process, the problems that multi-source heterogeneous data is difficult to integrate and the fusion precision is not high are effectively solved, and a reliable data base is constructed.

The invention discloses a virtual space multi-person interaction synchronous control method oriented to an end-cloud collaborative architecture. The invention relates to a computer graphics and three-dimensional modeling technology, and discloses a cross-format lightweight and geometric consistency maintenance method based on a three-dimensional model. Through format-independent geometric representation and a self-adaptive lightweight strategy, efficient compression and precision maintenance of three-dimensional model cross-format conversion are realized. The method specifically comprises the following steps: performing format analysis and geometric feature extraction on an input model, and establishing a unified internal representation; adaptively selecting a multi-level LOD lightweight strategy based on the complexity of the model; the accuracy of key information is ensured through geometric feature keeping and topology consistency detection; the geometric consistency is dynamically maintained by combining error monitoring and an iterative correction mechanism; and generating a target format lightweight model and carrying out quality verification. According to the method, adaptive precision control, multi-level consistency maintenance and format irrelevant processing are combined, the model size and conversion errors are effectively reduced, and cross-platform compatibility and geometric fidelity are improved. The method can be widely applied to the fields of industrial design, game development, virtual reality and the like.

The invention provides a method and system for intelligently generating a three-dimensional pipeline through a two-dimensional CAD pipeline drawing and a storage medium, aims at achieving automatic generation from the two-dimensional drawing to a three-dimensional pipeline model containing complete engineering information, and relates to the technical field of conversion of the two-dimensional drawing into a three-dimensional drawing. Comprising the following steps: respectively identifying graph entities representing pipe sections and various pipeline elements from the two-dimensional CAD pipeline drawing; s2, assigning attributes to each graphic entity identified in the step S1, and generating a structured engineering data object; s2, constructing a topological network diagram for describing the logic connection relationship among the entities of the pipeline system by adopting a graph theory algorithm, and obtaining the connection relationship among the graphic entities identified in the step S1; based on the calculated initial elevation of each node and the path optimization result, calculating three-dimensional space coordinates of all nodes in the topological network graph established in the step S3; and generating a three-dimensional pipeline model. According to the method, the accuracy of the three-dimensional model is ensured, and the design efficiency is improved.

The invention provides a preparation method and device of a three-dimensional layered puzzle, electronic equipment and a storage medium, and the method comprises the following steps: obtaining a two-dimensional design image, and carrying out the preprocessing of the two-dimensional design image; performing stereoscopic enhancement processing on the preprocessed two-dimensional design image to generate a preliminary three-dimensional image; processing the preliminary three-dimensional image to generate a three-dimensional model; layering the three-dimensional model to form a plurality of required target layers; performing arrangement layout on the plurality of target layers, and outputting a drawing of the plurality of target layers including the optimal arrangement layout; and a layered cutting file is generated according to the drawing, the manufacturing equipment receives the layered cutting file, and puzzle layer modules are manufactured. The method has the beneficial effects that the whole preparation process of the jigsaw type toy is automatic, manual intervention is not needed from two-dimensional drawing to layered jigsaw design, the limitation of dependence on a designer in the prior art is broken through, output files are directly in butt joint with production equipment, industrial practicability is achieved, and the manufacturing cost is reduced.

The invention discloses a deformation compensation method for a 3D printing model of an oral implanting guide plate, and belongs to the technical field of computer-aided design and manufacturing. The method comprises the steps that original three-dimensional model data of the oral implanting guide plate is obtained; performing dynamic hierarchical stress accumulation analysis on the original three-dimensional model data, and generating a dynamic stress evolution field for describing the internal stress distribution and change of the model in the virtual printing process; based on the dynamic stress evolution field, generating an adaptive compensation transformation matrix for correcting geometric deformation; and performing compensation transformation on the original three-dimensional model data by using the self-adaptive compensation transformation matrix to generate high-fidelity compensation model data. A self-adaptive compensation transformation matrix is generated through dynamic hierarchical stress accumulation analysis to preprocess three-dimensional model data, complex deformation in the printing process can be accurately predicted and compensated, and therefore the forming precision of a printed piece is remarkably improved.

A new generation 3D modeling system is described for the management of the 3D characteristics of man-made structures in a shared geographic information system (GIS) platform. The system accommodates the conversion of 2D GIS topology to 3D real-world topology, originate and perpetually maintain 3D models and non-graphical attribute data through time managed by a community of users based on a series of permissions and user roles. The system integrates 3D model data with attribute data and may be supplemented with published map or attribute data and / or data made available by users of the system.

The invention discloses an XR-based immersive three-dimensional modeling and straight-through 3D printing system and method, and the method comprises the steps: S1, collecting user input, and converting the user input into an interaction instruction; s2, generating three-dimensional model data; s3, superposing the three-dimensional model into a real physical environment according to a proportion of 1: 1, and outputting a virtual-real fusion display result; s4, performing printability analysis on the model, marking a problem area, guiding a user to modify and providing an automatic repair suggestion; s5, generating a support structure, and providing visual preview and interactive editing; s6, slicing and path planning are executed, and a printing instruction file meeting the control requirement of the 3D printer is generated; s7, communication connection with the 3D printer is established, and printing state information is fed back; and S8, providing storage and calling support of the three-dimensional model file, parameter configuration and environment map data. According to the invention, seamless integration of immersive XR modeling, MR real-time verification and one-key direct-through 3D printing is realized.

The invention relates to geological three-dimensional reconstruction, in particular to a self-adaptive parameter optimization and rapid imaging method in complex geological body three-dimensional modeling, which comprises the following steps of: integrating multi-source geological data to generate an initial three-dimensional geological model; determining an objective function and constraint conditions of adaptive parameter optimization of the three-dimensional modeling of the complex geologic body, and constructing an adaptive parameter optimization model; solving the adaptive parameter optimization model by adopting an improved crocodile ambush optimization algorithm to obtain an optimal parameter combination; substituting the optimal parameter combination into the initial three-dimensional geologic model, and generating a final three-dimensional geologic model through curved surface reconstruction; according to the technical scheme provided by the invention, the optimal parameter combination is substituted into the initial three-dimensional geologic model, and the final three-dimensional geologic model is generated through curved surface reconstruction.

According to the model conversion method provided by the invention, the height map of the terrain and the weight distribution maps of the plurality of material layers are acquired, the target three-dimensional grid model is generated according to the height map, the weight distribution maps of the plurality of material layers are combined to generate the weight map, and based on the position of the target three-dimensional grid model in the world coordinate system, the target three-dimensional grid model is converted into the target three-dimensional grid model. Calculating texture mapping coordinates; and generating a material instance corresponding to the target three-dimensional grid model according to a preset material template, the weight map and the texture mapping coordinate. Through effective integration and conversion processing of terrain height information and multilayer material weight information, automatic conversion from two-dimensional terrain data to a three-dimensional grid model with complete material information is realized, and it is ensured that the finally generated three-dimensional model can accurately express a complex material mixing effect. And the visual authenticity and rendering efficiency of the terrain model are obviously improved.

Embodiments described herein provide a 3D generation system from a single RGB image of an object by inferring the hidden 3D structure of objects based on 2D priors learnt by a generative model. Specifically, the 3D generation system may reconstruct the 3D structure of an object from an input of a single RGB image and optionally an associated depth estimate. For example, a radiance field is formulated to depict the input image in one viewpoint of the target 3D object, based on which other viewpoints of the 3D object can be inferred. Based on the visible surface depicted by the input image, points between the reference camera and the surface are assigned with zero density, and points on the surface are assigned with high density and color equal to the corresponding pixel in the input image.

The invention discloses a multi-task graph neural network fusion point cloud-attribute adjacency graph information-based processing feature identification method and system, and relates to the technical field of computer aided design, and the method comprises the steps: obtaining a three-dimensional CAD model data set which comprises a plurality of processing features and is provided with a feature tag; preprocessing the model in the data set to obtain a model attribute adjacency graph, a surface point cloud and a corresponding feature vector; learning the model data by using a multi-task graph neural network, realizing three tasks of semantic segmentation, instance segmentation and bottom surface segmentation, and comprehensively obtaining a processing feature recognition result; and inputting a part model of which the machining features need to be recognized into the trained recognition model, and vectorizing part model information to obtain a machining feature recognition result. According to the invention, the accuracy of processing feature recognition is improved.

The invention relates to the technical field of semiconductor test equipment, in particular to a full-automatic high-precision probe station, which utilizes multi-physics field coupling sensing and compensation to remarkably improve the positioning precision: by comprehensively collecting multi-physics field data such as a temperature field and a stress field and combining a coupling algorithm to optimize a compensation strategy, multi-factor interference is effectively counteracted, and the accuracy of the probe station is improved. The positioning repetition precision can reach + / -0.05 [mu] m, and the test requirement of the advanced semiconductor technology is met; a dynamic three-dimensional modeling technology and dynamic adaptability enhancement are achieved, a dynamic three-dimensional modeling system with the size affected by multi-physical field data can update the form of a test target in real time, test deviation caused by target deviation or surface fluctuation is avoided, and the adaptability of equipment to a complex test scene is improved. The automation degree is high, the testing efficiency is improved, the whole process of data acquisition, modeling, compensation and testing can be completed without manual intervention, the calibration process is simplified, the testing period is shortened, and the method is suitable for batch detection scenes.

The invention belongs to the field of computer aided design systems, and relates to a CAD multi-modal data set automatic construction method, which comprises the following steps of: firstly, rendering a three-dimensional CAD model to be marked into a standardized multi-view two-dimensional image set through a data processing system, enhancing a multi-modal large model by utilizing a keyword vector and a low-rank adapter, and constructing a multi-modal data set; the method comprises the following steps of: extracting a geometric label from an image as a hard constraint, generating a text description of a natural language, then verifying a labeling result through a self-consistent strategy, and finally associating the multi-view two-dimensional image, the geometric label and the text description with an original model to construct a high-quality CAD multi-modal image-text pair data set. According to the method, visual feature extraction and language description generation are decoupled into two subtasks with clear purposes, so that the labeling consistency and the recognition precision are improved, and low-cost automatic construction of large-scale CAD data is realized.

The invention discloses a curing shrinkage compensation and forming precision control method and system for 3D printing, and relates to the technical field of 3D printing additive manufacturing, and the method comprises the steps that three-dimensional model data and printing process parameters of a to-be-formed part are obtained, and a compensation model is established and called; generating hierarchical data according to the three-dimensional model and generating target exposure information of each layer; in the printing process, target exposure information is corrected based on the compensation model and the technological parameters to obtain execution exposure information, and curing forming is completed; acquiring an intra-layer image and comparing the intra-layer image with layered data to calculate a deviation field of the current layer; and updating the compensation model according to the deviation field increment, generating a next layer of compensation quantity, and circulating until forming is completed. A deviation field is adopted to drive closed-loop updating, self-adaptive convergence of working condition drifting is achieved, critical dimension consistency, boundary fidelity and shape stability are improved, test participation experience dependence is reduced, three-dimensional collaborative correction according to contours, doses and beats is supported, and therefore repeatability of batch manufacturing of precision parts is improved.

An avatar generation system and method generate dynamic and interactive three-dimensional avatars for educational interaction and a personalized virtual assistant. The avatar generation system utilizes a combination of 3D modeling, face reenactment, and text-to-speech module to produce 3D avatars with realistic movements and interactions. The avatar generation system utilizes prompts to guide an artificial intelligence (AI) engine in generating the avatars. The avatar generation system improves the scalability and personalization of avatars. Furthermore, the avatar generation system aims to provide a more efficient and quality-effective way for the generation of avatars. The use of algorithms for the automatic generation of movements and behaviors is introduced to produce more realistic and personalized animations.

The invention discloses an engineering vehicle 3D assembly and attitude simulation method based on a basic part model, and relates to the technical field of engineering vehicle 3D modeling, and the method comprises the following steps: carrying out standardized basic module splitting on an engineering vehicle, selecting module combination assembly parameters according to needs, assembling into a virtual model, collecting the three-dimensional coordinates of the key part of a field vehicle, and calculating the three-dimensional coordinates of the key part of the field vehicle; resolving a virtual model attitude and mapping the virtual model attitude to a point cloud scene to form a simulation platform; and finally, setting a plurality of working conditions on the platform, simulating part actions, posture changes and collaborative processes, analyzing the feasibility of working schemes of each working condition, and realizing vehicle assembly according to basic parts and precise restoration of a site space structure for posture simulation. The technical problems of low working scheme generation efficiency and insufficient simulation precision caused by limitation of multi-component combination and complex sites during assembly and attitude simulation of the engineering vehicle are effectively solved.

An augmented reality collaboration system includes an assembly platform, a first projector, a camera and a computing circuit. The first projector projects a first projection image to the assembly platform. The camera shoots the assembly platform and the first projection image projected on the assembly platform to obtain a first shooting image. The computing circuit creates a three-dimensional model in a virtual three-dimensional space, arranges a standard operating procedure, sets a mark pattern on the three-dimensional model according to the standard operating procedure, analyzes the first shooting picture, and performs a calibration operation on the first projector to obtain a first calibration parameter. The computing circuit enables the first projector to generate a first corrected pattern according to the first calibration parameter and the mark pattern, and projects the first corrected pattern to the object-to-be-assembled according to the standard operating procedure.

The invention is suitable for the field of three-dimensional printing, and provides a method for generating a slice map and a 3D printing method. A method of generating a slice map includes providing a three-dimensional model including a plurality of facets, each facet associated with a surface feature; outputting a plurality of slice images through a plurality of tangent planes intersected with the three-dimensional model, wherein each slice image comprises a first intersection point of the tangent plane and the plurality of facets; through a plurality of straight lines perpendicular to the tangent plane, determining second intersection points of the plurality of straight lines and the plurality of patches; and determining an association attribute of the slice map at least based on the surface feature associated with the first intersection point and the surface feature associated with the second intersection point. According to the method, the accuracy of the obtained slice image can be improved.

The invention relates to the technical field of building automation maintenance, and discloses a concrete crack repairing method fusing unmanned aerial vehicle vision and a 3D printing technology, and the method comprises the steps: collecting a high-resolution image and three-dimensional point cloud data of a crack through an inspection unmanned aerial vehicle; processing the data by using a central processing unit to generate a crack three-dimensional digital model; according to the crack three-dimensional digital model, a three-dimensional printing deposition path and a flight path are generated for a printing unmanned aerial vehicle; and finally, the printing unmanned aerial vehicle deposits a repairing material into the crack through the carried 3D printing system along the planned path. According to the method, the high-precision three-dimensional model is established, and accurate filling of the repairing material is achieved. The deposition process is dynamically corrected by adopting a closed-loop quality control step, and long-acting healing is realized by utilizing a microbial self-repairing material, so that automation and intelligence of crack repairing are realized, the operation efficiency and safety are improved, and the method is particularly suitable for environments such as bridges, high-rise buildings and the like which are highly endangered and difficult to reach by manpower.

The invention discloses a method for generating a metal 3D printing supporting structure, and relates to the technical field of additive manufacturing. The method comprises the steps that geometric analysis is conducted on a three-dimensional model of a to-be-printed part, and areas needing to be supported are recognized and classified into a strong supporting area, a weak supporting area and a transition supporting area; different laser scanning parameters are configured for different supporting areas, a supporting main body adopts low-energy density parameters to form a porous structure, a contact interface adopts discrete dot matrix scanning to form weak connection, and a transition layer with gradually-changed parameters is arranged between the supporting main body and the contact interface; a composite supporting structure composed of hexagonal honeycomb units and vertical thin walls is generated; in the printing process, high-frequency micro-vibration is applied to the support to improve powder fluidity, and sweep-frequency vibration is applied to the interface layer to weaken interface bonding; thermal cycle treatment is carried out after printing, and interface automatic cracking is achieved through the difference of thermal expansion coefficients; and finally, support falling is accelerated through resonance frequency vibration. Through the synergistic effect of the scanning parameter gradient, the structure optimization design and the vibration auxiliary technology, the removability of the support is remarkably improved, the material consumption is reduced, and the surface quality of the part is improved.

A system is provided.SOLUTION: A system comprising: means for registering a face image of a user; means for extracting feature points from the registered face image; means for generating a 3D model of a face based on the feature points; means for automatically generating an angle, a pose, and an expression to be combined with a background picture; means for representing the face image by the 3D model according to the generated angle, pose, and expression and naturally combining the face image with the background picture; and means for presenting the combined image to the user and storing the combined image after checking.SELECTED DRAWING: Figure 1

The invention relates to the technical field of three-dimensional rendering, in particular to a neural pathway three-dimensional modeling and rendering method and system, and the method comprises the following steps: obtaining diffusion tensor data to solve a main feature vector field, generating a fiber trajectory based on divergence step length adjustment and curl correction, reconstructing an abnormal segment by using curvature frequency to obtain a geometric model, and performing three-dimensional modeling and rendering on a neural pathway. And mapping geometric curvature characteristic values of the vertexes, attenuating transparency according to curvature difference values of adjacent depth layers, and synthesizing a neural pathway visual image. According to the method, space step length dynamic adjustment and tracking direction correction are achieved through divergence and rotation feature calculation by means of the main feature vector field, high-frequency disturbance paragraphs are recognized after a track point sequence is subjected to discrete curvature derivative change rate frequency distribution statistics, and model distortion caused by curvature sudden change is effectively corrected; in the rendering stage, saliency judgment is executed according to the curvature value difference between the depth layers, and regional control is performed on transparency, so that the rendering efficiency is optimized while structural details of the image are kept.

An object of the system according to the embodiment is to provide a new experience by storing recycling of unnecessary toys and memories thereof in a Metaverse space.SOLUTION: A system includes a recycle unit, a recording unit, a storage unit, a reproduction unit, and an interaction unit. The recycling part recycles the unnecessary toys. The recording part records a memory of the toy recycled by the recycling part by a photograph, a moving image and a voice. The storage unit stores the data recorded by the recording unit in the Metaverse space. The reproducing unit reproduces the memorable toy in the 3D model. The interaction unit interacts with another user by using the 3D model reproduced by the reproduction unit.SELECTED DRAWING: Figure 1

The multi-stage heat treatment method for preparing the high-content strengthening phase superalloy based on 3D printing comprises the following steps that selective laser melting equipment is adopted, nickel-based superalloy powder serves as a raw material, layer-by-layer scanning melting forming is conducted according to a preset three-dimensional model, and a superalloy test block or component is obtained; and performing multi-stage heat treatment on the high-temperature alloy test block or component. According to the method, selective laser melting equipment is adopted for manufacturing a high-temperature alloy test block or component, then the high-temperature alloy test block or component is sequentially subjected to high-temperature homogenization treatment, high-temperature solution treatment, first-stage aging treatment and second-stage aging treatment, the gamma / gamma phase with high content and optimized morphology can be obtained, the performance potential of the 3D printing high-temperature alloy is fully played, and the production cost is reduced. The volume fraction of the gamma strengthening phase in the obtained high-temperature alloy is larger than or equal to 60%, the average size is 100-500 nm, the gamma strengthening phase is evenly distributed in a gamma matrix in a cubic or spherical mode, and the high-temperature alloy shows excellent mechanical performance in the temperature interval of 750-950 DEG C.

The invention belongs to the technical field of three-dimensional modeling, and particularly relates to a three-dimensional visual detection method for motorcycle tires. According to the method, a tire is fixed, multi-view point cloud scanning is carried out, and an improved SAC-IA algorithm is adopted for registration and fusion to construct a three-dimensional point cloud model; the method comprises the following steps: designing adaptive voxel grid filtering and denoising based on tire geometric prior, and after improved bilateral filtering smoothing, fitting and unifying a coordinate system through principal component analysis and least square to obtain a standardized point cloud model; and extracting four core parameters of thickness uniformity and sidewall contour curvature, inputting the four core parameters into the hybrid dynamic weight scoring network to output quality scores, and meeting the requirements of high-precision and high-efficiency quality inspection of motorcycle tires in an industrial environment.