1097 results about "Computer Aided Design" patented technology

The invention relates to the technical field of computer aided design, in particular to a text-driven CAD modeling method and system based on a diffusion and visual language model.The method comprises the steps that natural language text description is obtained, and CAD semantic features of the natural language text description are extracted; carrying out geometric standardization on the CAD semantic features by adopting a fine-tuning diffusion model, and generating a CAD view image conforming to engineering specifications; carrying out fusion by adopting a fine-tuned visual language model to generate a parameterized CAD construction sequence; a three-mode alignment mechanism is adopted, and the semantic consistency of the CAD semantic features, the CAD view images and the CAD construction sequences is checked; performing verification and post-processing on the CAD construction sequence, and outputting an executable Python code or STEP file; the CAD modeling method disclosed by the invention performs explicit modeling based on flexible modal description, and has the characteristics of high geometric constraint and high usability.

The invention discloses a multi-agent computer-aided engineering and a computer-aided design method. CAE simulation and design optimization for the design of a complex product are high in threshold and difficulty. According to the method, autonomous planning and automatic execution of CAE simulation and CAD design optimization tasks are realized by using a multi-agent technology based on a large language model. A user interacts with the multi-agent system in the modes of text input, voice, a graphical user interface and the like, the multi-agent system autonomously plans workflow steps according to the requirements of the user, all agents cooperatively execute the working steps in a labor division mode, CAE and CAD software is called to execute simulation and design change, CAE and CAD result data are read and analyzed, the task completion condition is evaluated, and the task completion condition is evaluated. And the task can be re-planned if necessary. The system can automatically process error information, and can notify a user to process when user intervention is needed. The performance of the system can be improved through fine tuning of a large language model and retrieval enhancement generation technology.

The invention relates to a method for checking spacing in a large-scale integrated circuit layout, which belongs to the technical field of integrated circuit computer aided design, and comprises the following steps: S1, dividing an integrated circuit layout to be processed into a plurality of local layouts according to a preset division rule, including an original local layout and an interference local layout; outwards expanding the edges, determined by a preset division rule, of the interference local layouts to obtain expanded local layouts; s2, checking whether the edges of all the functional parts in all the local layouts meet the constraint condition upper limit corresponding to the selected preset checking rule one by one according to the currently selected preset checking rule so as to screen out the edges meeting the potential conditions; s3, forming associated edge pairs, and screening the associated edge pairs through a filter to obtain associated edge pairs meeting filtering conditions; and S4, carrying out secondary cutting on the associated edge pairs according to the cutting ranges of the associated edge pairs meeting the filtering conditions.

A computer-implemented method includes editing, at a local client device, an engineering design (e.g., computer aided design (CAD) model), hosted on a remote server. The local client device and the remote server communicate over a communications network and are remote from each other. The remote server configures an operation within a CAD model based on user input during an edit of the CAD model involving a drag. This results in a subset of the CAD model and the solving instructions required to perform the user update being generated and sent as a data package including the subset of the CAD model and the solving instructions to the local client device. The CAD model and any associated algorithms stored on the remote server are not communicated to the local client device.

The invention discloses a digital steel structure embedded part accurate positioning system, and belongs to the technical field of computer aided design and digital twinning, and the system comprises a data acquisition module which is used for obtaining a correction vector of a digital twinning model, the currently measured local positioning precision and the current global attitude consistency deviation; the model entropy calculation module is used for calculating a model authority entropy representing the accumulated deviation degree of the digital twin model based on the correction vector and a preset reference correction scale; the model authority calculation module is used for determining the model authority of the digital twin model according to the model authority entropy and a preset attenuation sensitivity coefficient; and the correction decision module is used for generating a correction acceptance probability in combination with the model authority and the local positioning precision, and performing probabilistic screening on the execution of the correction vector based on the correction acceptance probability, thereby providing a solid quantitative basis for subsequent judgment of the health condition of the model.

The invention relates to the technical field of fuel cell system anomaly detection, in particular to a fuel cell system time series data anomaly detection method based on residual analysis, and the method comprises the specific implementation steps: obtaining multi-source design simulation data of a system, and constructing a multi-source design simulation data tensor; constructing a computer aided design model, performing behavior simulation on the simulation data tensor, and outputting a simulation design behavior value; the simulation data is used as a simulation observation value to be compared with a simulation design behavior value, a multi-dimensional residual sequence is obtained through calculation, and online self-adaptive updating is conducted on the design model; establishing a physical reachability matrix, and adjusting a dynamic threshold value based on the matrix and a real-time simulation working condition; performing weighted fusion on the multi-dimensional residual sequence to generate a collaborative design constraint index, and comparing the collaborative design constraint index with the dynamic threshold to generate a computer aided design verification result; and inputting the design verification result into a preset residual-control mapping rule, and outputting a design parameter optimization instruction to optimize the design parameters.

The invention relates to the technical field of computer aided design and intelligent optimization, in particular to a sponge park multi-objective collaborative optimization design method based on an LID technology, and the method comprises the steps: building an LID facility parameterized database through collecting the multi-source data of geographic space, hydro meteorology and the like; a multi-objective collaborative optimization model covering hydrological, ecological, economic and social benefits is established, a mixed intelligent optimization algorithm composed of an improved NSGA-II algorithm and an enhanced particle swarm optimization algorithm is used for solving, and a Pareto optimal solution set is generated; screening a comprehensive optimal scheme by means of an SWMM and GIS coupling technology and an improved TOPSIS method; an Internet of Things monitoring network and a digital twinborn system are deployed, and self-adaptive dynamic optimization of a design scheme is realized according to triggering conditions such as runoff coefficient deviation and vegetation coverage rate change. The method breaks through the limitation of a traditional single target, remarkably improves the comprehensive benefits of the sponge park through multi-target cooperation, intelligent algorithm optimization and dynamic adjustment, and guarantees the long-term stable operation of the sponge park in a complex environment.

The invention relates to the technical field of computer aided design, in particular to a distributed building structure intelligent design system and method under a low-carbon background, and the method comprises the steps: a BIM parameter optimization module constructs a building group adjacent matrix and a sunlight shielding coefficient based on building structure data, calculates a ventilation score, combines a window heat transfer coefficient, and employs an SQP algorithm to optimize a window-wall ratio; and the route generation module constructs energy nodes and connection paths by using the adjacent matrix of the building group. And the carbon emission analysis module comprises construction carbon emission calculation, multi-factor coupling prediction and net carbon emission polymerization, can predict future carbon emission based on an LSTM algorithm, and evaluates the net carbon emission of the building group in combination with ecological restoration. And the routing optimization module generates an initial feasible solution by adopting a heuristic algorithm according to a carbon emission analysis result, and optimizes energy node configuration and an optimal connection path of the building group through mixed integer programming, so that the intelligent design efficiency of the building structure is improved.

The invention relates to the technical field of computer vision, computer aided design and artificial intelligence, and discloses a geometric feature recognition method based on a large language model, which comprises the steps of three-dimensional model natural linguistization, large language model feature reasoning, incremental learning and optimization, and feature verification and output. According to the geometric feature recognition method based on the large language model, three-dimensional geometric data are converted into structured text description, and a joint representation space of'geometric parameter-topological relation 'is constructed, so that the large language model can better understand the meaning of geometric features and the structure of parts; the method comprises the following steps: analyzing topological association among geometric features by utilizing long context understanding ability of a large language model, capturing dependency among the features through an attention mechanism, realizing hierarchical recognition of the features in a complex assembly, dynamically updating a geometric feature knowledge base of the large language model by continuously learning new geometric cases and engineering specifications, and realizing hierarchical recognition of the features in the complex assembly. Adaptive recognition of novel features is supported, and the model does not need to be retrained.

The invention discloses natural language computer-aided engineering and a computer-aided design method. CAE simulation analysis and design optimization on complex product design are high in threshold and difficulty. According to the method, an artificial intelligence large language model is finely adjusted by using professional knowledge of CAE and CAD, an agent is developed to call an API service of the large language model, an engineer dialogues with the agent by using a natural language, and the large language model can understand purposes and requirements of the engineer and generate corresponding operation instructions or program codes of CAE software and CAD software; the agent drives the CAE software and the CAD software to execute instructions or run programs to complete simulation analysis and design optimization tasks, and an engineer can cooperate with a plurality of professional CAE software and CAD software to perform simulation analysis and design optimization of multi-physics coupling only by dialogue with the agent. The intelligent agent can autonomously complete loop iteration simulation analysis and design optimization tasks according to formulated scheme steps and rules.

The invention discloses a control system for improving the numerical control machining precision of a bionic unmanned aerial vehicle wing, and relates to the professional technical field of numerical control machining, and the control system specifically comprises a multi-dimensional sensing module, a digital twin model construction module and a numerical control machining precision improvement module, the multi-dimensional sensing module acquires geometric and material states and dynamic response data through a high-precision sensor cluster and realizes space-time consistency, the digital twin model building module comprises geometric modeling and physical attribute modeling, and is used for predicting the service life of a tool by combining an Archard wear model based on laser scanning point cloud and CAD (Computer Aided Design) model registration compensation pose deviation. And meanwhile, a five-axis machine tool multi-body dynamic model is established, a numerical control machining precision improving module dynamically divides sub-routes, establishes an error prediction model, corrects a machining path in real time, regulates and controls monitoring frequency according to geometric errors, thermal errors and material damage errors, triggers a cooling system to enhance or bypass a damage area, and guarantees machining precision.

A method of manufacturing a foam component includes generating, via a computer aided design (CAD) software, three-dimensional data corresponding to the foam component. The method further includes scaling, using the CAD software, the three-dimensional data to correspond to a preform. The preform is smaller than the foam component based on a scaling factor. The method further includes fabricating the preform from a thermoplastic elastomer and adding a foaming agent to the preform. The method further includes foaming the preform by exposing the preform to a target temperature for a target time via a heat generating device.

The invention discloses a hydroxysteroid dehydrogenase mutant with improved thermal stability, a screening method and application, key hotspot amino acid residues related to the thermal stability are rapidly identified based on computer-aided design technologies such as hydroxysteroid dehydrogenase structure prediction, PROSS and the like, so that a limited site-directed mutant library is constructed; and further screening to obtain a dominant mutant. The semi-inactivation temperature (T5105) of the obtained mutant is increased by 1.0-7.7 DEG C compared with that before mutation, wherein the semi-inactivation temperatures (T5105) of the mutants A126I and A132H are increased by 7.7 DEG C and 3.7 DEG C respectively. And the relative enzyme activity of the mutant reaches 99.86-136.73% of the relative enzyme activity before mutation. The invention provides a new method for rapidly improving the thermal stability of the enzyme, and lays a foundation for the industrial application of the hydroxysteroid dehydrogenase.

The invention discloses a 3D art model intelligent generation system and method based on multi-source data fusion, and relates to the technical field of computer aided design and graph generation, and the system comprises a multi-source data input module which is used for receiving a conceptual design drawing, text description and a reference 3D model; the feature extraction module comprises an image feature extraction unit used for extracting a style feature vector and a structure contour vector of the conceptual design drawing; and the text semantic analysis unit is used for outputting a key attribute tag vector described by the text. According to the 3D art model intelligent generation system and method provided by the invention, through multi-source data input including the concept design drawing, the text description and the reference 3D model, the design intention is comprehensively fused, the limitation of a single data source generation model is solved, and the dynamic weight distribution strategy and the closed-loop optimization mechanism of the 3D art model intelligent generation system and method are high in practicability. The geometric shape and style characteristics of the generated model are highly consistent with the design intention, and the workload of manual later correction is reduced.

The invention relates to the technical field of computer aided design, in particular to a BIM-based garden landscape optimization method and system, and the method comprises the following steps: extracting a spatial data model in a BIM based on the spatial feature data of garden landscape elements, carrying out the sight tracking of garden viewing nodes, capturing the visual data of different angles, and carrying out the calculation of the visual data. And analyzing the visual area range and the visual focus attraction to obtain the garden landscape sight line access coverage rate. According to the invention, through landscape data acquisition, sight tracking and illumination analysis, improvement of visual accessibility identification, quantitative evaluation of footpath environment factors, improvement of path experience judgment precision, path structure combination intersection relation and substitutability optimization, improvement of connectivity and viewing continuity, and facility layout fusion interference identification and function coordination; the space partition reasonability is improved, path and element matching is adjusted, the space response capability is enhanced, conversion from static analysis to dynamic scheduling is achieved, and the layout adaptability and the touring integrating degree are improved.

The invention relates to the technical field of computer aided design, in particular to an energy-saving building design method based on digital simulation, which comprises the following steps: analyzing air velocity, temperature gradient, density and pressure distribution based on indoor aerodynamic parameters, identifying air vortex structure characteristics, and generating an energy-saving building environment data set. According to the method, aerodynamic characteristics in a building are accurately recognized, the vortex structure analysis capacity is improved, the air flowing path is optimized, aerodynamic parameters are combined, thermal resistance and heat conduction materials are matched, the building envelope layer is adjusted, heat flow transmission is guided, heat loss is reduced, the heat energy utilization rate is increased, and the spectral characteristics of the materials are adjusted according to illumination redundancy; the lighting efficiency is optimized, the heat load is reduced, outer wall heat transfer is optimized in combination with airflow characteristics, the ventilation rate is dynamically regulated and controlled, airflow short circuit is avoided, heat flow, illumination and ventilation parameters are integrated, precise optimization of building energy consumption is achieved, and the energy efficiency regulation and control level is improved.

The invention belongs to the technical field of computer aided design, and provides a spinning equipment design assisting method and system based on model collaboration. The method comprises the steps that a collaborative design system is constructed, a large language model receives design requirements of a user, performs task decomposition and calls corresponding professional agent models to execute design subtasks, and the professional agent models feed simulation calculation results back to a closed-loop feedback engine; the closed-loop feedback engine analyzes feedback results of the professional agent models and generates attention prompt signals pointing to potential design conflicts or optimization bottlenecks on the basis of interdisciplinary parameter coupling relations; and the large language model performs multidisciplinary coupling analysis by using the attention prompt signal, dynamically adjusts task planning and design parameters by focusing on key parameters and key disciplines pointed by the attention prompt signal, and drives related professional agent models to perform directional iterative optimization. According to the method, the blind iteration problem can be effectively avoided, and the convergence speed of the design and the scheme quality are improved in a high-quality mode.

The invention discloses an aviation three-dimensional aided design integration method and system based on a large language model. The method comprises the steps of obtaining multi-modal design demand data submitted by a user; analyzing the multi-modal design demand data submitted by the user; and calling a large language model to generate a corresponding modeling command according to the analyzed multi-modal design demand data, calling a computer aided design system by utilizing the modeling command to carry out modeling design, and optimizing the large language model at the same time. The system comprises a user interaction module for receiving multi-modal design demand data input of a user; the data analysis module is used for analyzing the multi-modal design demand data and extracting a design demand; the modeling instruction generation module is used for calling a large language model to generate a modeling instruction according to a design requirement; the modeling execution module is used for calling a computer aided design system API to complete modeling by utilizing the modeling instruction; and the model optimization module is used for feeding back the model data modified by the user to the large language model for optimization.

The invention relates to the technical field of computer aided design, in particular to a steel plate pitting corrosion simulation method and system based on a cellular automaton model.The method comprises the steps that all slope curve segments corresponding to all corrosion pit morphology curves are obtained, and the directional variation index of each depth position is determined according to the depth position of the slope curve segments; acquiring a plurality of slope areas in the corrosion pit under different corrosion time with different solution concentrations to analyze the abnormal corrosion condition, and determining the local corrosion progressive coefficient of each depth position by combining the expansion coefficient; obtaining the number of intersections between the depth positions of each type of slopes and each type of local erosion progressive coefficients, and generating a dynamic rule of evolution of the cells to the corresponding type of slopes in combination with a directional variation index; on the basis of a dynamic rule, the cellular automaton model with the optimal goodness of fit is obtained by training the LSTM network, the problem of directional evolution under a finite element rule is avoided, and powerful help is provided for researching the real pitting process of the steel plate.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: rendering, to a display device of a first user, a first user's view into an extended reality environment, the first user's view being generated using a first pose being tracked for the first user; identifying that a first avatar associated with the first user has entered a shared perspective mode with a second avatar associated with a second user of the XR environment, wherein the shared perspective mode has a single frame of reference in the XR environment that is shared by the first user and the second user; and performing, while in the shared perspective mode, the rendering to the display device of the first user.

The invention discloses a high-stability hydroxysteroid dehydrogenase mutant, a co-immobilized enzyme construction method and application. According to the invention, a site-directed mutant library is constructed based on computer-aided design, and mutants with significantly improved thermal stability and greatly improved catalytic efficiency compared with wild type mutants are obtained through screening; meanwhile, a co-immobilized enzyme construction method based on electrostatic adsorption and chemical crosslinking is established, the hydroxysteroid dehydrogenase mutant and lactic dehydrogenase are co-immobilized, the co-immobilized enzyme can still keep high activity under high substrate concentration, and the conversion rate is still maintained to be 90% or above after 30 batches of co-immobilized enzyme are repeatedly used. And an important foundation is laid for industrial application of the hydroxysteroid dehydrogenase.

The invention discloses a pulmonary nodule boundary detection method based on semantic segmentation. The method comprises the following steps: generating an edge prior image set; obtaining a multi-scale boundary alignment feature map set and a deformation offset parameter set; a post-gating deformation offset parameter set is obtained, the multi-scale boundary alignment feature image set is updated, cross-scale feature fusion is executed, and a fusion feature image set is generated; establishing a node set and an edge set by utilizing node features in the fusion feature graph set and a spatial adjacency relationship, and initializing a node feature vector set; forming a fusion feature map set enhanced by multi-hop reasoning; and outputting a pulmonary nodule region mask prediction image set and a pulmonary nodule boundary probability prediction image set. According to the method, fracture between pseudo boundaries and slices is effectively inhibited, so that a three-dimensional structure prediction result is more coherent, and high-readability and high-consistency boundary segmentation output is provided for a clinical CAD (Computer Aided Design) system.

The invention discloses a three-dimensional physical field real-time prediction method and system based on geometric deep learning and physical constraint, and relates to the technical field of computer-aided engineering and artificial intelligence. The method comprises the following steps: directly extracting native boundary representation data (B-Rep) of a three-dimensional model from a computer aided design system; constructing a heterogeneous dual graph taking a parameterized curved surface as a graph node, skipping finite element grid division, and aggregating local and global topological features by using a graph neural network; in combination with a physical information driving mechanism, a partial differential equation (PDE) residual error is introduced as a loss function for constraint training, and generalization prediction of a novel geometric structure is realized; and finally, the physical field state quantity is predicted through direct regression and is rendered in real time. An incremental reasoning mechanism based on a local topology subgraph is adopted, millisecond-level physical field real-time feedback under design modification is achieved, and the method is suitable for scheme rapid screening and trend prediction in the initial stage of design.

The invention provides an adaptive optimization method for CAD (Computer Aided Design) drawing parameters, and relates to the technical field of drawing parameter optimization, comprising the following steps: setting a dynamic drawing operation sequence; performing multi-target correlation analysis on the drawing dynamic operation sequence, configuring a drawing parameter adjustment vector, and correcting a parameter adjustment deviation; configuring an optimization instruction set; dynamically adjusting bottom configuration parameters of the CAD drawing tool, generating a drawing parameter configuration file after adaptive optimization, and monitoring drawing fluency and drawing error rate of each layer; and carrying out synchronous matching calling on the drawing parameter configuration file, and carrying out dynamic feedback adjustment through the drawing fluency and the drawing error rate of each layer in combination with a preset performance target. According to the method and the device, the technical targets of adaptive parameter adjustment and performance closed-loop control based on the optimized instruction set can be realized, and the technical effects of continuously guaranteeing the drawing fluency under different hardware environments and task load conditions, reducing the drawing error rate and improving the overall rendering efficiency are achieved.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: obtaining a design space, design criteria, and boundary conditions for numerical simulation; defining an application of the boundary conditions to a voxelized mesh, including specifying a distribution of a load to nodes of voxels in the voxelized mesh that correspond to a surface of preserve geometry; and iteratively modifying a generatively designed three dimensional shape in the design space in accordance with the design criteria and a physical response of the modeled object determined by the numerical simulation performed using the application of the boundary conditions to the voxelized mesh, wherein the distribution of the total loading value during determination of the physical response ensures an equivalence between the total loading value and a sum of loading values distributed to the respective nodes of the voxels that correspond to the surface.

The invention relates to the technical field of computer aided design, and discloses an aircraft conduit part identification method, which adopts a multi-stage screening and contrast identification mode, and specifically comprises the following steps of: screening all parts in an aircraft from two aspects of part name keywords and the proportion of the sum of curved surface areas in the parts in the surface area; filtering irrelevant part digifax to reduce the calculation amount of conduit digifax recognition, and obtaining a part candidate set; in the part candidate set, whether other parts assembled on each part have pipe sleeve parts or not is judged through a shape similarity calculation method, the influence of shape uncertainty of the guide pipe parts on the recognition process can be avoided, and then successful recognition of the guide pipe parts is achieved.

The invention discloses a CAD (Computer Aided Design) image super-resolution enhancement method and a CAD image super-resolution enhancement system based on a dual-polymerization Transform, and relates to the technical field of image super-resolution. The method comprises the following steps of: designing a resolution enhancement model based on a dual-polymerization Transform network to carry out resolution enhancement on a low-resolution CAD (Computer Aided Design) image; wherein self-attention branch calculation and convolution branch calculation are carried out in parallel in the dual-aggregation Transform module to jointly capture global and local features of an image, and spatial dimension and channel dimension self-attention are respectively adopted to realize inter-block feature fusion; performing adaptive fusion on the features of the two branches to realize intra-block feature aggregation; in the convolution calculation, high-frequency filtering and an adaptive residual block are adopted to perform local detail extraction, and a differentiable high-frequency filtering module can effectively extract high-frequency texture lines in the CAD image. Readability can be improved by utilizing the method to reconstruct the low-quality CAD image.

The invention relates to the field of computer aided design, in particular to a full-flow numerical simulation method and system for a Hall thruster, and the method comprises the steps: obtaining a target region in a current simulation process, predicting a first prediction value of each grid at a next moment through a time sequence of a simulation value of each grid in the target region, recording the simulation value of each grid in the same target area at the next moment in the previous simulation process as a second prediction value of each grid in the current simulation process; and in the current simulation process, obtaining an evolution region, and carrying out weighted fusion on the first predicted values and the second predicted values of all the grids in the target region to obtain simulation values of all the grids in the target region at the next moment. The accuracy of the simulation process is ensured while the simulation time is shortened.

The invention belongs to the technical field of computer aided design and structural design, and discloses a multi-scale lattice structure and a design method thereof. The design method comprises the following steps: S1, designing a cubic unit cell with eight symmetrically distributed corner nodes according to a cubic lattice structure; s2, all the lattice unit cells are zoomed, one part of the lattice unit cells are zoomed into small lattice unit cells with the size being half of the original size, and the other part of the lattice unit cells are large lattice unit cells with the original size reserved; s3, in the macroscopic lattice structure, arranging the position relation of the small lattice unit cells and the large lattice unit cells; and S4, through a computer aided design method, adjusting the macroscopic lattice structure by adopting a large and small lattice unit cell connection mode based on rod diameter transition. A multi-scale large and small lattice unit cell arrangement mode is introduced into the lattice structure, so that the lattice structure has better mechanical performance under the same compression load.

The invention discloses a natural language driven CAD (Computer Aided Design) modeling method based on multi-agent collaboration. According to the method, a collaborative mechanism of a structure planning agent, a parameter completion agent and an execution verification agent is introduced, and the method comprises the steps that firstly, a structure planning agent analyzes natural language description and generates an abstract syntax tree structure meeting a CAD modeling rule; then, on the premise that the structure of the abstract syntax tree is kept unchanged, a parameter completion agent predicts and completes all symbol and numerical parameters, and a complete CAD modeling instruction sequence is generated; and finally, the execution verification agent performs structure and parameter dual verification on the generation instruction by using the geometric kernel, and feeds back and corrects if necessary. According to the method, a strategy of combining field adaptive full-parameter pre-training and task specific fine tuning is adopted in a training stage, and a structure-parameter decoupling modeling and closed loop verification mechanism is introduced, so that the structure accuracy, the parameter matching property and the geometric performability of a generated result are effectively improved.