943results about "Configuration CAD" patented technology

Digital model platform that enables the streamlined creation and management of digital twins and physical twins by leveraging external feedback and artificial intelligence (AI) is disclosed. Methods and systems for a model collaboration platform that facilitate the integration of external feedback, whether from physical, virtual, or human sources, into the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Updated results are output to those external sources, including physical twins, other digital twins or models and simulations, and / or human users. External feedback includes feedback data from physical prototypes and their environment, virtual prototypes, simulations, and subject-matter experts. Embodiments are directed to integrating external feedback into the assembly and system-level assessment of digital twins, physical twins, digital threads, and the iterative design of constituting digital engineering models, including constructing, maintaining, and improving digital engineering models for the design, validation, verification, certification, operations, and maintenance of complex systems.

A digital twin service of a provider network allows a user to build high fidelity models (“digital twins”) for components and for systems of multiple components. For a given component, the digital twin service receives, from a user, identification of interactions for the component (e.g., inputs / outputs at the boundary), identification of data sources at the system (e.g., sensor that stream data), and / or a definition of behavior of the component (e.g., one or more behavior functions to simulate the component). The digital twin service builds a digital twin model of the component based at least on the interactions, the data sources, and the behavior. The digital twin service may also receive, from the user, an indication to bind one or more outputs of the digital twin model to one or more inputs of at least another of the digital twin models to build a digital twin model of the system.

The invention discloses a power transmission line path planning method and system based on a natural language and a knowledge graph, and the method comprises the steps: analyzing a natural language path planning target through a large language model, obtaining an intention classification result and a named entity, mapping the intention classification result and the named entity to a business rule knowledge graph for reasoning, and generating a task step sequence; receiving confirmation or modification of a user on each task step to obtain each target task step; searching a combination corresponding to each target task step from the GIS operation knowledge graph by utilizing a large language model, and disassembling the combination into a GIS operator call chain; and calling a corresponding GIS tool through an MCP protocol, executing spatial analysis operation in the GIS operator calling chain corresponding to each target task step according to the sequence of all the target task steps, and generating a path planning result of the power transmission line. According to the invention, full automation, process interpretability and man-machine interaction cooperation of power transmission line path planning are realized, and the power transmission line path planning efficiency is improved.

The invention discloses a voice-driven mechanical element modeling method and system. A user inputs a natural language instruction containing a design intention into the CAD system through voice, and the natural language instruction is analyzed into a structured operation instruction; meanwhile, selecting a reference model, generating a geometric code corresponding to each surface based on a local geometric attribute corresponding to each surface of the model, and constructing a geometric structure coding matrix; predicting each machining surface in the machining features by using the machining surface prediction network to obtain a sequence formed by all machining surface IDs of the machining features in sequence, and recording the sequence as a machining surface ID sequence; and finally, executing API (Application Program Interface) calling of the CAD platform, and finally obtaining a model of the target mechanical element. According to the method, by connecting the high-level design intention and the bottom-level geometric operation of a designer, the tedious interaction and cognitive burden caused by manual selection and operation of low-level geometric elements (points, edges and surfaces) in traditional direct modeling is avoided, and the design efficiency is remarkably improved.

The invention relates to the field of artificial intelligence, in particular to a part quality detection plan generation method based on a CAD drawing and a storage medium. The method comprises the steps that data are extracted from a CAD drawing and converted, and a geometric element set containing three-dimensional coordinates and a labeling text set are generated; identifying geometric features of the geometric elements, analyzing semantic information of the annotation text, and generating a geometric feature set with semantics and an annotation object set; according to the geometric feature set and the annotation object set, constructing a semantic association graph, and carrying out annotation legality check and correction to obtain a final semantic association graph; according to the final semantic association graph, mapping the geometric features and the annotation objects into a hierarchical tree structure according to an industrial standard organization data structure; and generating a part quality detection plan according to the hierarchical tree structure, wherein the detection plan comprises detection points and tolerance zones of dimensional tolerance. According to the method, the efficiency of extracting the data from the CAD drawing is improved.

The invention discloses an intelligent guiding method based on a 3D virtual garment customization process, and relates to the technical field of garment customization, and the method comprises the steps: obtaining the basic information of a user through a user interaction interface, and generating a 3D virtual human body model matched with the body type of the user through 3D scanning equipment; performing intelligent matching through a machine learning algorithm according to the basic information of the user and the style information in the costume design database, and displaying a matching recommendation result on a user interface in a visual form for the user to select and preview; dynamically adapting the 3D model of the clothes selected by the user to the 3D virtual human body model, and providing an intelligent adjustment option and an intelligent algorithm to generate an adjustment suggestion; according to the method and the device, fitting simulation, comfort evaluation and visual effect evaluation feedback are performed, user design is optimized, and a customization scheme containing a 3D model file and a production drawing is generated according to a design scheme finally confirmed by a user, so that the operation of a virtual garment customization process is simpler, the auxiliary decision-making experience degree is higher, and the customization efficiency is improved.

The invention belongs to the field of transformer substation design, and provides a transformer substation building parameterization intelligent design method and system, and the method comprises the steps: constructing a parameterization component library, building a component model, and configuring adjustable parameters and constraint rules of components; obtaining a station area general map and geological data of a target transformer substation, and generating a three-dimensional model containing terrain and a foundation; corresponding building components are selected from the parameterized component library, a building contour is arranged, and a preliminary model is formed; a design rule is called, corresponding parameters of the preliminary model are adjusted in a parameterized mode under the design rule, a structure calculation model is generated, and structure finite element calculation analysis is conducted; whether conflicts exist in the adjusted model is determined, if yes, conflict positions are marked, and an optimization scheme is produced; and if not, generating a drawing of the adjusted model, calculating an analysis result according to the structural finite element, and outputting a material list and an engineering quantity. The problem of multi-specialty collision can be solved, and the design efficiency and the standardization level are improved.

The invention relates to a construction quality management method based on BIM secondary development. In order to improve the informatization level of an outer protection frame erection size detection process, automatic comparison between a detection result and a design size is realized. Revit software is used for parametric modeling of the fastener type steel pipe scaffold component family model, and a standard component family library is constructed. Modeling is driven based on Dynamo data, and the fastener type steel pipe scaffold BIM model automatic generation and updating method is provided. And a construction quality management platform based on BIM secondary development is developed, automatic comparison of a design scheme and a detection result is realized, and construction errors are graded and fed back to the BIM visual model. In order to improve user experience, a user interface of the platform in Revit is customized and developed. Compared with the prior art, the system has excellent performance in the aspects of working efficiency and visual display, and can effectively promote the intelligentization and informatization process of construction quality detection and management.

The invention relates to the technical field of prefabricated part modeling, in particular to an interaction system for prefabricated part steel bar parameter driving design and a modularization implementation method. Incrementally updating the engine; the model application module is used for acting the change patch sequence on the three-dimensional reinforcement model in a transaction mode and driving display refreshing; the system further comprises a rule base module and an interpretable verification module. The rule base module stores a steel bar arrangement rule and / or a standard verification rule in a constraint declaration form; the interpretable verification module is used for performing compliance verification on the three-dimensional reinforcement model or the derived quantity thereof based on the evidence data field, and outputting a violation item list; the interactive interface comprises parameter panels and a violation interactive area, and the parameter panels are displayed in groups according to component type parameters, geometric parameters, steel bar parameters and specification options and support interactive modification. According to the method, the script dependency is reduced, the dependency graph increment patch is updated in real time, the automatic specification matching and positioning are realized, and the low-cost expansion is governed by the plug-in.

The invention discloses an intelligent anti-seismic structure optimization design method and system for a high-rise building, and relates to the technical field of anti-seismic design of the high-rise building. A working condition database considering multidirectional seismic oscillation and soil-structure interaction is established in combination with seismic oscillation time history and site investigation parameters; constructing a structure model on the BIM platform, and importing frequency characteristics and load to generate a preliminary design; an inter-story displacement angle, a story acceleration, a plastic rotation angle and an energy dissipation ratio index are set in the model, an anti-seismic performance comprehensive function is constructed, constraints are set according to a standard limit value, the structure model is converted into an optimizable problem, and optimal design is achieved by iteratively calling a working condition database and automatically correcting key component parameters and damping arrangement. According to the method disclosed by the invention, the structural optimization design of the high-rise building under the multidirectional earthquake action is realized by establishing an earthquake working condition database and parameterizing structural modeling and performance function constraint.

The invention discloses a modularized multi-channel dynamic layout method for a three-dimensional scene of a data center machine room, which comprises the following steps of: firstly, defining a topological relation data structure of a directed acyclic graph model based on a machine room design drawing, and accurately describing spatial layout characteristics of multiple channels, bifurcated channels and asymmetric channels through weight parameters; equipment such as a cabinet, an air conditioner and a power distribution module are modularized into Unity preforms, and a unified data structure including equipment types, position coordinates and data interface mapping is established; a data binding component is mounted on each prefabricated body, so that digital twin linkage with a rear-end monitoring system is realized, and real-time state visualization is supported; after layout is completed, structured JSON data is generated and uploaded to a server, and a user can load a historical version in a one-key mode and rapidly reproduce a scene. According to the method, the layout generation efficiency is improved by more than 50%, dynamic generation of a complex topological structure during operation is supported, a complete digital twin closed loop from geometric layout to data linkage is realized, and the planning and operation and maintenance efficiency of a data center is remarkably improved.

The invention relates to the technical field of switch cabinet production, and particularly discloses a switch cabinet body plate laser cutting method, device and equipment and a medium, and the method comprises the steps that a three-dimensional design model and a two-dimensional expansion drawing of a target switch cabinet body are obtained; identifying the three-dimensional design model and extracting machining features about the cutting process; predicting the cutting deformation of the cabinet plate; according to the predicted cutting deformation, the offset of the machining features on the two-dimensional expansion graph is deduced reversely; generating a two-dimensional cutting map containing the compensated processing features; a cutting deviation factor is analyzed based on the two-dimensional cutting graph, a cutting sequence and a cutting forming path are optimized based on the cutting deviation factor, and a cutting strategy is generated; according to the method, a reliable reverse calculation mechanism is provided to compensate dimensional deviation caused by a forming process, accurate association of feature positions is ensured, and the laser cutting precision and the overall manufacturing quality of the switch cabinet body plate are remarkably improved.

The invention provides a three-dimensional part retrieval method based on graph similarity search, relates to the field of computer graphics, and solves the technical problems that in the prior art, geometric and design semantic information of CAD cannot be fully utilized, and a topological relation is difficult to capture and display, so that the retrieval efficiency is low. The method comprises the following steps: acquiring part three-dimensional data of a computer-aided design (CAD) model, and constructing a training data set; constructing an edge-surface connection diagram based on the three-dimensional data of the part; calculating a graph editing distance (GED) matrix of all edge surface connection graphs in the training data set as a supervision signal; based on the GED matrix, training a sorting model, mapping an edge-surface connection graph to a hidden space, and constructing a part vector database according to an output graph-level embedding vector; the sorting model is constructed based on a graph attention network; and inputting a to-be-queried CAD part into the trained sorting model to obtain a feature vector, carrying out nearest neighbor search in the part vector database, and returning a similar part result.

The invention relates to the technical field of cable-stayed pipe bridge wind field simulation, and discloses a cable-stayed pipe bridge fluctuating wind field simulation method and system, and the method comprises the steps: building a parameter system, dynamically adjusting the number of sample points, synthesizing a fluctuating wind field, and carrying out the automatic feedback verification. According to the method, a simulation system containing in-pipe oil-gas medium parameters is constructed, and the number of sample points of wind field space discrete points is dynamically adjusted based on the Reynolds number, so that the in-pipe and out-pipe flow-solid coupling effect is accurately represented. According to the method, redundant calculation can be reduced in a laminar flow state, and the capability of capturing high-frequency turbulent flow details is enhanced in a turbulent flow state, so that the calculation efficiency is remarkably improved while the simulation precision is ensured, and the contradiction between the precision and the efficiency of a traditional fixed sample point method is solved; according to the system, simulation, verification and interaction functions are integrated, the operation threshold is greatly reduced, the convenience and reliability of engineering design are improved, and an efficient and reliable special tool is provided for wind resistance design and safety evaluation of the cable-stayed pipe bridge.

The present invention relates to an artificial intelligence-based user-customized modular building design and BIM linkage apparatus comprising: a memory including at least one instruction; and at least one processor electrically connected to the memory and configured to perform the at least one instruction, wherein the at least one processor may: receive a user input related to generation of housing space data, wherein the user input includes natural language; apply space requirement analysis criteria to the user input to calculate a housing requirement index; determine, by means of a specification mapping model, hard specifications and soft specifications on the basis of the housing requirement index; if the housing requirement index cannot be calculated or if there exists an element, among the hard specifications, which cannot be calculated by the housing requirement index alone, analyze insufficient information to determine necessary additional requirement information; request, from a user, information necessary to obtain the additional requirement information; reflect an additional input from the user to sequentially update the housing requirement index, the hard specifications, and the soft specifications; and calculate, by means of a space generation model, housing space data on the basis of the updated hard specifications and soft specifications.

Disclosed embodiments perform automated design for buildings or portions of buildings and machine-generate architectural design and floor plans. Computer-implemented systems and methods of designing multi-unit buildings and portions of buildings include a set of one or more input requirements, a relationships module, an options placement system, a layout predictor system, and a design plan generator. The input requirements include one or more pre-defined footprints and may include local regulatory requirements such as building code, zoning, accessibility, among others. The design plan generator generates an architectural design plan for the building or portion of a building that can be built on the one or more pre-defined footprints. Disclosed systems and methods substantially reduce the design time and cost while increasing the profitability, sustainability and efficiency of construction projects.

The invention relates to the technical field of industrial data processing, in particular to a PDF drawing vector review method and system based on the creative technology, and the method comprises the steps: receiving a PDF drawing data stream through a creative security communication channel, and converting the PDF drawing data stream into a standardized graphic primitive containing a two-dimensional coordinate and engineering metadata through a sandbox security parser; and on the basis, a spatial semantic data structure integrating quadtree spatial indexes and semantic grouping information is constructed. According to the method, a dynamic performance benchmark test data model is also constructed; and during rendering, predicting and selecting an optimal rendering scheme capable of meeting preset target performance based on the model, efficiently generating an interactive graphic review interface by utilizing the data structure, and finally receiving and storing a user review instruction associated with the graphic object. By constructing the adaptive rendering model and fusing a data structure of space and semantic information, high-performance and safe vectorization interactive review of the PDF drawing in a credential environment is realized.

The invention provides a lead mark arrangement method and device, electronic equipment and a storage medium, relates to the technical field of computers, in particular to the fields of engineering drawing, computer aided design and the like, and can be used for application scenes such as drawing lead mark arrangement and the like. According to the specific implementation scheme, the method comprises the steps of obtaining a plurality of to-be-arranged lead marks and a plurality of mark objects; aiming at each to-be-arranged lead mark, determining a lead-out point coordinate of a lead based on a corresponding mark object; in response to a text arrangement mode selected by a user, determining text coordinates according to the extraction point coordinates; and generating a lead mark arrangement result according to the lead-out point coordinate and the text coordinate corresponding to each to-be-arranged lead mark. According to the scheme, the lead text annotation arrangement can be quickly carried out, various arrangement effects can be obtained by setting a simple arrangement mode, and the operation efficiency of arrangement and annotation when a user makes a picture is greatly improved.

Systems and methods are discussed herein and include a method of providing for search and review of an electronic database of knit fabric samples, the method including: providing a plurality of digital images of a plurality of knit fabrics; organizing the plurality of digital images in the database based upon corresponding visual cues extracted using an image analysis performed on each of the plurality of digital images, wherein the visual cues are construction attributes of the plurality of knit fabrics; displaying one or more of the plurality of digital images for review; and providing for search of the database using one or more of the visual cues.

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.

The invention provides a text and image-based shoe style fusion generation method and system. The method comprises the following steps of: firstly, acquiring design input data comprising a reference image and a natural language instruction; performing semantic analysis on the instruction, and determining a target component, a source index and a mixed weight; then, constructing an element condition sequence, and performing coding combination on the visual features of the source reference image, the text semantic features of the target component and the mixed weight to obtain element feature vectors; and inputting the sequence into a generative model, and establishing semantic response mapping between element feature vectors and a generated image space region by using a cross attention mechanism, thereby accurately controlling visual performance of each target component without a mask, and finally generating and outputting a fusion design drawing. According to the method, shoe style fusion generation is performed by using the large language model, and the design efficiency can be effectively improved.

The invention discloses an underground water level change prediction method and system based on machine learning, and relates to the technical field of hydrogeology, and the method comprises the steps: carrying out the standardization processing of multi-source time series data, obtaining a standardized multivariable time series data matrix, and constructing a supervised learning sample set; inputting the underground water level sequence in the supervised learning sample set into a physical information guided variational mode decomposition network; decomposing the underground water level sequence into K intrinsic mode component sequences and residual term sequences through a loss function of physical driving consistency constraint; and for each of the K intrinsic mode component sequences, dynamically assembling a differentiable simulator from the differentiable simplified physical simulator basic library, and carrying out cooperative training by taking approximation to each intrinsic mode component sequence and overall reconstruction of the original water level sequence as targets to obtain K completely trained assembled differentiable simulators. According to the method, a reliable visual prediction result is generated through multi-simulator collaborative deduction and uncertainty quantization.

The invention discloses a geometric topology fusion-based part assembly method, which comprises the following steps of: acquiring boundary representation models of at least two to-be-assembled CAD parts, and converting the boundary representation model of each CAD part into a structured heterogeneous geometric topology graph; performing feature coding on each node in the heterogeneous geometric topological graph to form node feature representation; inputting the node feature representation into a graph attention reasoning module, and obtaining a node embedding representation representing a geometrical relationship and a topological relationship in the CAD part through multi-layer residual graph structure information propagation and feature aggregation; based on the node embedding representations of the different parts, calculating association scores of node pairs among the different parts; and performing supervised training on the feature coding module and the graph attention reasoning module by using the labeled assembly constraint sample data. According to the method, fine geometric features can be extracted from a boundary representation B-Rep model, and a complex topological dependency relationship is inferred, so that robust assembly constraint inference is realized.

This invention provides a method and system for assembling vehicle parts. The method includes: creating a corresponding digital twin in real time based on the target model of the vehicle part, and activating a preset multi-dimensional sensing array; before the vehicle part enters the assembly station, acquiring target part features corresponding to the vehicle part in real time through the preset multi-dimensional sensing array; acquiring reference parameters corresponding to the digital twin in real time, and performing multi-dimensional mapping and comparison between the target part features and the reference parameters based on preset rules to predict whether assembly errors will occur during the assembly process; if assembly errors are predicted in real time, generating corresponding target compensation parameters in real time through an adaptive genetic algorithm to complete the real-time assembly of the vehicle part. This invention can effectively avoid assembly errors and improve assembly efficiency.

The invention relates to the technical field of intangible cultural heritage protection, in particular to an intelligent pattern generation and material adaptation system and method for an intangible cultural heritage technology, and the system comprises a knowledge graph construction module, a hierarchical perception adversarial network module, a material adaptation module, a digital manufacturing module and a virtual prototype module. A knowledge graph containing pattern features, material attributes and association relationships thereof is constructed by collecting non-abandoned process pattern data, intelligent patterns conforming to non-abandoned aesthetics are generated, a material adaptation module analyzes feature parameters of the intelligent patterns and predicts adaptive material parameters, a digital manufacturing module generates a digital manufacturing instruction, and the digital manufacturing instruction is sent to the digital manufacturing module. According to the method, a complete digital link from pattern design to material manufacturing is established, the problem of systematic storage and application of traditional process knowledge is solved, and inheritance and development of non-abandoned processes are promoted.

The invention discloses a data processing system and method for big data modeling, and belongs to the technical field of data processing.The method specifically comprises the steps that feature tree operation records, geometric grids and constraint solving logs are collected in a computer aided design environment and combined into an initial data packet, and a design number and a time stamp are bound; respectively converting the three types of data into a topological sequential sequence, a graph data structure and a constraint conflict trajectory sequence, and unifying the topological sequential sequence, the graph data structure and the constraint conflict trajectory sequence into a sample unit format; generating a geometric semantic slice sequence and bidirectional index mapping on the graph data structure according to a topological time sequence, generating a multi-view rendering result for the slice, synthesizing a tensor, and keeping an index relationship from pixels to topological entities; performing time sequence alignment based on the multi-view rendering tensor, the topology time sequence and the constraint conflict trajectory sequence, generating a geometric sample index table, and performing fragmentation storage; and finally, exporting a uniform-format data packet containing a graph data structure, a time sequence and image features from the index table for direct reading of a big data modeling processor.

The invention relates to a power grid project basic design system and method based on a general function module. The system comprises a general editing module, a basic primitive modeling module, a parameterized component module, a model integration module and a link reference module. The universal editing module is used for freely adjusting, placing and combining the selected primitives; the basic primitive modeling module is used for providing various basic primitives and completing splicing among the primitives through surface-based arrangement and parameter change; the parameterized component module is used for creating parameterized components in a UI interaction mode; the model integration module is used for importing a public data format through an interface to carry out modeling and design operation; and the link reference module is used for integrating the local file into the current model in the system through the model link reference interface to serve as view reference. Compared with the prior art, the method has the advantages that the technical architecture and functional system design of the design foundation platform is completed under the guidance of the power grid engineering design requirements, and the efficiency is improved.

A method and system for parasitic extraction in semiconductor layouts using spatial localization and point reduction, thereby improving efficiency of predictive models for identifying parasitic capacitance in electronic circuit design. Candidate physical layouts are generated from electrical design. Transistors and wiring are spatially modeled as three-dimensional structures. Geometrical points are identified from the three-dimensional structures being modeled and used as nodes in a neural network. A subset of the nodes is selected, and the subset is further limited to a limited region surrounding the given node to be evaluated. Nodes can have weighting based on relative geometrical position. Parasitic extraction is performed on the limited number of nodes for efficient evaluation of candidate layouts.

The invention provides a man-machine cooperation assembly track generation method, device and equipment based on a digital human, and relates to the technical field of man-machine cooperation, and the method comprises the steps: constructing a digital human model, a cooperation robot model and an assembly environment based on musculoskeletal on a target simulation platform, defining the attributes of each model, and forming a man-machine cooperation assembly simulation platform; taking the man-machine cooperation assembly simulation platform as an interaction environment, training a digital human control strategy network based on a deep reinforcement learning algorithm, and generating a digital human assembly track in an assembly process; introducing the trained digital human control strategy network into a man-machine collaborative assembly simulation platform, taking a dynamic assembly environment as a training environment of a collaborative robot, training the obstacle avoidance capability of the collaborative robot to avoid dynamic actions of a digital human through a deep reinforcement learning algorithm, generating a robot obstacle avoidance strategy network, and performing robot obstacle avoidance simulation on the robot. And outputting a robot assembly track based on the robot obstacle avoidance strategy network. By means of the method, man-machine safety cooperation assembly can be achieved.

The invention discloses a curtain wall light evaluation rapid calculation method based on Rhino, relates to the technical field of curtain wall light environment evaluation, and is used for solving the problems of complex modeling and low calculation efficiency of traditional curtain wall light evaluation. According to the method, an integrated three-dimensional model containing a site environment, a target building and an indoor space is built through Rhino, and data adaptation, coordinate calibration and fine modeling are completed; based on Grasshopper, defining three types of core parameters of optical attributes, geographic position data and meteorological data of the material, and constructing an associated data set; solar radiation and reflected light are calculated according to scenes, and reverse tracking and Ladybug algorithm coupling optimization calculation is combined; visualizing simulation results and extracting quantitative indexes, and generating targeted curtain wall design optimization measures; the curtain wall light environment is quickly and accurately simulated, and the light evaluation efficiency and the calculation precision are remarkably improved.