76 results about "Cad system" patented technology

The invention belongs to the technical field of application of an artificial intelligence technology to medical rehabilitation instruments, and relates to a method for designing an orthosis based on an AI artificial intelligence technology, and the method comprises the steps: S1, data collection and preprocessing: converting patient data into structured data; s2, feature extraction: extracting geometric and biomechanical features related to orthosis design, and constructing a feature set; s3, processing the features by using a deep learning model, and predicting personalized parameters; s4, designing and optimizing an orthopedic module, and optimizing pressure distribution; s5, a three-dimensional orthopedic CAD system is developed and deployed, and patient information and orthopedic device design are managed; and S6, evaluation and optimization: fusing clinical data, and optimizing the system according to an evaluation result. According to the method, the AI technology is utilized to improve the design efficiency and the adaptation accuracy, the personalized requirements are met, the rehabilitation effect is optimized, digital management of data and iteration of an AI model are achieved, a treatment basis is provided for rehabilitation medical employees such as a brace teacher and a rehabilitation therapist, and the clinical effectiveness of a rehabilitation treatment scheme is improved.

The invention relates to the technical field of engineering drawing interaction, and provides a CAD instruction optimization method and system combined with user behavior analysis. The method comprises the following steps: identifying a CAD operation task which is performed by a user and performing scene analysis to generate a CAD task scene; on the basis of a CAD task scene, instruction personalized configuration based on the operation frequency and the operation path is executed, primary optimization of an instruction toolbar is completed, and real-time operation characteristics of a user are continuously monitored; instruction continuity prediction based on the CAD base file is performed based on the real-time operational features to predict a continuity instruction to complete quadratic optimization of the instruction toolbar. According to the method and the device, the technical problems that the adaptability of the instruction toolbar is poor and intelligent optimization is difficult to perform according to operation habits of different users in the use process of a user in an existing CAD system are solved, and the technical effects of realizing personalized configuration and continuous optimization of the instruction toolbar through user behavior analysis, improving CAD operation efficiency and enhancing user experience are realized.

The invention relates to the technical field of air conditioner fan blade design optimization, and discloses an air conditioner fan blade optimization method and system based on a BP neural network and a GA algorithm. The method comprises the following steps: obtaining initial geometric parameters and performance data of a fan blade, and cleaning and standardizing the initial geometric parameters and the performance data to form a standard data set; a BP neural network is used for training to obtain a fan blade performance prediction model; a genetic algorithm is applied to optimize the prediction model, and a new design parameter population is generated through genetic operations such as selection, crossover and variation; the optimized parameters are input into a CAD system to generate a candidate fan blade model, numerical simulation is carried out, and performance indexes of the candidate fan blade model are calculated; and screening excellent individuals based on a multi-objective optimization method, iteratively executing optimization and simulation processes until convergence, and finally outputting an optimal fan blade design. According to the method, the fast prediction of the neural network and the global search capability of the genetic algorithm are combined, the dependence of traditional optimization on high-frequency numerical simulation is reduced, and the design efficiency and quality are 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 technical field of computer aided design, and provides a multi-level revocation recovery method of a CAD system, the method comprises the following steps: receiving a user operation instruction through a transaction management module and generating a corresponding operation set, the operation set comprising a plurality of atomic operation units; analyzing geometric objects related to the operation set and the incidence relation of the geometric objects, and constructing a directed dependency graph with the geometric objects as nodes and the dependency relation between the objects as edges; according to the topological structure of the directed dependency graph, sequence adjustment and operation filling are carried out on the atomic operation units in the operation set, and an operation sequence conforming to dependency constraints is generated; and when the revocation or recovery operation is executed, executing the atomic operation units in the operation sequence according to the reverse topological sequence or the forward topological sequence. According to the technical scheme, high efficiency and consistency of revocation and recovery operation can be guaranteed, and the performance and reliability of the system are remarkably improved.

A method for automated spacecraft design includes receiving mission parameters provided by a client for spacecraft design, generating one or more concept designs based on the received mission parameters, a concept design including one or more components selected for each subsystem included in a designed spacecraft, for the concept design, automating a generation of a frame design that accommodates the one or more components selected for each subsystem included in the designed spacecraft, the frame design being a Computer Aided Design (CAD) model that includes individual frame pieces generated, sized and fitted automatically via automated scripts compatible with a CAD system, including one or more structural design software applications; performing a series of analyses or simulations to evaluate a performance of the frame design; and generating a digital twin representing a virtual representation of the designed spacecraft based on the generated frame design and the series of analyses and simulations.

The present invention relates to a CAD collaborative design system, for storing CAD files according to a timeline, and that facilitates restoration and review of versions created, modified, and updated at different times. The system stores the CAD files by means of summary files and incremental databases, thereby reducing data transmission volume, ensuring accuracy of file restoration, and improving the file management efficiency of the entire CAD system.

The invention relates to a ship subdivision design method and system for a ship CAD system. The system comprises a ship body space definition module, a cutting element method module, a sketch segmentation method module, a cabin issuing module, a cabin attribute input module, a cabin color setting module, a cabin capacity report module and a cabin arrangement diagram module. The method comprises the steps that S1, a closed ship body space formed by ship body curved surface sewing is obtained; s2, dividing the ship body space into independent cabin spaces; s3, the cabin space is published to an index file of a ship CAD database, and related information is stored in the ship CAD database; s4, defining cabin attributes; s5, setting the color of the cabin; s6, defining and calculating the cabin capacity report according to the full cabin information to form a cabin capacity report; and S7, forming a cabin arrangement two-dimensional drawing according to the three-dimensional cabin model. According to the method, rapid modeling and updating of the cabin can be achieved, and important technical support is provided for services such as ship performance calculation, overall arrangement and structural design.

The present disclosure provides a CAD system and implementation method that is adaptable to multiple modeling engines, the system comprising: a modeling tool module and at least two modeling implementation modules; the modeling tool module is used to determine a target modeling implementation module based on a selected target modeling engine; a modeling interface is called to receive a target modeling method call request and input data inputted by a CAD front end, and dispatch the request to the target modeling implementation module; the modeling implementation module is used to call an adaptive modeling engine API in a method of the same name that implements the target modeling method, receive input data in the form of a data interface transmitted by the modeling tool module, convert the input data into data executable by the adaptive modeling engine, and use the converted data executable by the adaptive modeling engine to perform modeling operations; the module is also used to obtain output data of the adaptive modeling engine after execution, convert the output data of the adaptive modeling engine into the form of a data interface, and return the data to the modeling tool module, thereby achieving decoupling of the CAD system from the modeling engine.

To improve the convenience of a panel design support system that enables the design of panels such as switchboards. [Solution] This is a panel design support system that enables the design of panels (such as distribution boards) using a CAD system, and by specifying the placement of electrical and electronic equipment so that it overlaps with the panel mounting parts used to attach the electrical and electronic equipment, the panel design support system can group the panel mounting parts and the electrical and electronic equipment as a collective entity.

The present invention relates to a method, device, computer-readable storage medium, and computer terminal for referencing external files in a CAD system. The method comprises the following steps: creating at least one first universal reference rule file independent of the referenced file based on at least one reference condition, and storing the file independently in an extensible file format; and referencing at least one referenced file based on at least one selected first universal reference rule file. The present invention utilizes a reference rule file independent of the referenced file, making it reusable by users and avoiding the need to repeatedly set reference conditions, thereby improving the efficiency and accuracy of user collaborative drawing tasks.

The present application belongs to the field of computer aided design and computer aided manufacturing system, and relates to a CAD model simplification and repair method based on intelligent decision: firstly, a user imports an original CAD entity model through an interactive interface in a CAD system; then, the system detects redundant topological information existing in the CAD entity model, including redundant points, edges and surfaces; then, an optimal cleaning sequence is generated by using a reinforcement learning method for all the detected redundant topological problems; then, two geometric surfaces that need to be merged are merged in the process of removing the redundant topologies in sequence; finally, the merged topologies are updated on the whole model. The method can solve the problems of strong cleaning sequence dependency and large geometric distortion in traditional geometric simplification, and ensure the manifold and topological correctness of the final model after simplification, and is applied to subsequent mesh generation and precision manufacturing.

The invention relates to a computer-implemented method for designing a 3D modeling object representing a mechanical part with a CAD system. The method comprises displaying a B-rep having faces and edges and representing at least a portion of the mechanical part, selecting at least one face of the B-rep by a graphical user interaction, and automatically identifying, by the CAD system, a set of faces comprising the at least one face and representing a concave-convex. The identifying comprises determining a first set of faces representing a concave and a second set of faces representing a convex, and among the first set of faces and the second set of faces, selecting the set of faces having the shortest length of the boundary curve and being different from both the selected at least one face and the B-rep. Both the first set of faces and the second set of faces comprise the at least one face.

The invention discloses a method for designing and manufacturing a multi-scale geometric product. The method comprises the following steps of: importing a three-dimensional grid in a CAD (Computer Aided Design) system through an interactive interface by a user; the system generates an initial primary function based on topological information of a three-dimensional grid, and establishes mapping from a parameter domain to a physical space; setting a control coefficient of each control node, generating a unit structure expressed by a control coefficient-primary function combination in a grid unit parameter domain, and mapping the unit structure to a physical space to obtain an initial geometric product; subdividing the target grid unit and the corresponding control coefficient, and generating a truncated hierarchical basis function according to a subdivision relation; and adjusting a fine layer control coefficient to increase geometric details of the unit structure, and finally mapping to obtain a geometric product with a multi-scale feature. According to the method, the truncation layering primary function can be constructed for the control grid with any topology, the topology limitation of a traditional B-spline primary function is overcome, local geometric details can be introduced step by step through hierarchical refinement, and therefore design and manufacturing of multi-scale geometric products are achieved.

The application discloses a design and manufacturing method of a multi-scale geometric product, which comprises the following steps: a user imports a three-dimensional grid in a CAD system through an interactive interface; an initial base function is generated based on topological information of the three-dimensional grid, and a mapping from a parameter domain to a physical space is established; control coefficients of each control node are set, a unit structure expressed by a combination of the control coefficients and the base function is generated in the parameter domain of a grid unit, and the unit structure is mapped to the physical space to obtain an initial geometric product; a target grid unit and corresponding control coefficients are subdivided, and a truncated hierarchical base function is generated according to a subdivision relationship; a fine layer control coefficient is adjusted to increase geometric details of the unit structure, and finally a geometric product with multi-scale characteristics is obtained by mapping. The application can construct a truncated hierarchical base function for a control grid with an arbitrary topology, overcomes the topological limitation of a traditional B-spline base function, and can gradually introduce local geometric details through hierarchical refinement, so that the design and manufacturing of a multi-scale geometric product are realized.

A computer-implemented method of designing a 3D modeled object representing a mechanical product. The 3D modeled object has a feature tree and an original value of a set of semantic parameters. The method includes by a user graphically interacting with the 3D representation graphically selecting a semantic point of an outer surface of the 3D modeled object and graphically selecting one or more target 3D positions of the semantic point. The method further includes, automatically, iteratively modifying the value of the set of semantic parameters. Thereby the method obtains an updated value of the set of semantic parameters. The method further includes, automatically by the CAD system, updating the 3D representation of the 3D modeled object based on the updated value of the set of semantic parameters. This provides an improved solution for updating 3D modeled objects based on graphical interactions.

The present invention discloses a lung nodule detection method based on deep learning, comprising the following steps: target detection of lung nodules, edge segmentation of lung nodules, and three-dimensional reconstruction of lung nodules. The lung nodule detection method based on deep learning of the present invention proposes a fast two-stage nodule detection, segmentation and classification CAD system based on 2DCNN, which can not only detect the malignancy degree of nodules, but also detect their morphological features; introduces a segmentation attention module to improve the interpretability of the model and enhance the feature extraction of small nodules; replaces the original backbone network with a lightweight network to simplify the network, reduce the number of model parameters, and lower the computational cost; after obtaining a complete nodule slice, crops the nodules to be trained, solving the problem of unbalanced positive and negative sample distribution.

The invention belongs to the technical field of CAD modeling, and particularly relates to a ship CAD user-defined command accurate identification method and system, and the method comprises the steps: building a hot word list based on ship design field terminologies, CAD operation instruction keywords, material specifications and size parameters; distributing a weight for each hot word in the hot word list; a user inputs a voice instruction through the acquisition equipment; a user voice instruction is received and decoded, when a hot word list recorded by a user contains content, a decoder tends to output professional vocabularies of the ship industry through weight distribution of hot words, and the instruction input by the user voice is recognized more rigorously and accurately. According to the method, hot word weights with different priorities are set for professional words such as professional vocabularies, common command words, parameter names, units or material specifications and the like in each design stage of a ship, so that the recognition error rate caused by homonyms in a ship modeling scene is remarkably increased, and a more accurate input text is provided for a CAD system to subsequently execute an intelligent modeling instruction.

The disclosed solution is generally configured for integration with a computer aided dispatch (“CAD”) system in order to analyze the mental and emotional health of law enforcement officers. The disclosed solution relies on artificial intelligence (“AI”) based on large-language models (“LLMs”) in order to process and categorize CAD-based data in order to detect opportunities to provide mental and emotional support for responding law enforcement who face difficult emergency situations. The disclosed solution is configured to operate with existing CAD systems in order to reduce reconfiguration and retraining of dispatchers.

Illustrative embodiments generate a physical base rendering (PBR) palette that provides improved fidelity in images rendered by a computer aided design system. For example, where a CAD system operator has a basic shading palette for an existing design, and where the CAD system operator desires to generate images of the existing design from a PBR palette instead, illustrative embodiments process the basic shading palette to produce a PBR palette that, when used by the CAD system to render an image, produces an image of a higher quality than conventional technologies.

Exemplary embodiments of the present invention provide a virtual dispatch assist system in which various types of Intelligent Agents are deployed (e.g., as part of a new CAD system architecture or as add-ons to existing CAD systems) to analyze vast amounts of historic operational data and provide various types of dispatch assist notifications and recommendations that can be used by a dispatcher or by the CAD system itself (e.g., autonomously) to make dispatch decisions.

Exemplary embodiments of the present invention provide a virtual dispatch assist system in which various types of Intelligent Agents are deployed (e.g., as part of a new CAD system architecture or as add-ons to existing CAD systems) to analyze vast 5 amounts of historic operational data and provide various types of dispatch assist notifications and recommendations that can be used by a dispatcher or by the CAD system itself (e.g., autonomously) to make dispatch decisions. 20 24 20 30 89 09 M ay 2 02 4 2 0 2 4 2 0 3 0 8 9 0 9 M a y 2 0 2 4 A B S T R A C T O F T H E D I S C L O S U R E 5

The invention discloses a method for structured conversion and synchronization of material attributes to a multi-CAD system, and belongs to the technical field of data processing, and the method comprises the following steps: S1, starting a material synchronization task, S2, extracting physical attributes and appearance attributes of a material from a material main database, and carrying out structured conversion, S3, generating an intermediate format file according to a predefined mapping template, and S4, carrying out structured conversion on the intermediate format file; the method comprises the following steps: S1, synchronizing data in a target CAD system, and executing field verification and unit conversion, S4, writing the intermediate format data into a material library or a model attribute field of the target CAD system, and S5, recording log information of each stage of a synchronization process, and completing data consistency verification. According to the method and the system, full-process automation and standardization of synchronization of material attributes among multiple CAD systems are realized, the synchronization efficiency is remarkably improved through multi-thread concurrence and unified data structure mapping, the system has full-process monitoring and log persistence capabilities and supports exception playback and full-link tracing, and the maintainability of data is greatly enhanced.

Assessment of pulmonary function in coronavirus patients includes use of a computer aided diagnostic system to assess pulmonary function and risk of mortality in patents with coronavirus disease 2019. The CAD system processes thoracic X-ray data from a patient, extracts imaging markers, and grades disease severity based at least in part on the extracted imaging markers, thereby distinguishing between higher risk and lower risk patients. An alternative approach is to use an automatic CAD system to grade COVID-19 from computed tomography (CT) images to determine an accurate diagnosis of lung function.

An object of a system according to an embodiment is to enable a user to intuitively operate a CAD system.SOLUTION: A system according to an embodiment includes a generation AI, a chat bot UI, a logic implementing unit, and a design concretizing unit. The generation AI integrates various functions of the CAD system. The chatbot UI allows the user to intuitively operate the CAD system. The logic implementing unit executes a CAD operation based on a user's request received by the chatbot UI. The design concretization unit sets a design element of the chatbot UI.SELECTED DRAWING: Figure 1

This invention discloses a voice-driven method and system for modeling mechanical components. The user inputs natural language commands containing design intent into a CAD system via voice, which are then parsed into structured operation commands. Simultaneously, a baseline model is selected, and geometric codes are generated for each face based on its local geometric attributes, constructing a geometric structure coding matrix. Next, a machining face prediction network is used to predict each machining face in the machining features, resulting in a sequence composed of all machining face IDs of the machining features, which is denoted as the machining face ID sequence. Finally, the CAD platform API is called to obtain the model of the target mechanical component. This method connects the designer's high-level design intent with low-level geometric operations, avoiding the cumbersome interaction and cognitive burden of manually selecting and manipulating low-level geometric elements (points, edges, faces) in traditional direct modeling, thus significantly improving design efficiency.

The invention provides a complex B-rep model region division method and system based on concavity and convexity. The method comprises the following steps: judging concavity and convexity of each edge and concavity and convexity of each surface in a region to be divided; pre-partitioning the to-be-partitioned region to obtain a pre-partitioned region; based on the concavity and convexity of each edge, the concavity and convexity of each surface and the geometric attribute of each surface in the pre-partitioned area, subdividing the pre-partitioned area to obtain an inseparable area; and judging the structural features of the inseparable regions, and merging the inseparable regions according to a judgment result. According to the method, efficient and high-precision region division of the complex B-rep model is realized by fusing geometric concavity and convexity analysis and a dynamic partitioning strategy, a huge search space brought by searching for a closed loop is avoided, model division can be completed within linear time, and therefore reliable basic data support is provided for the automation function of a CAD system.

A computer-implemented method (100) for generating 3D points in space for component positioning in a complete tool (10) with a plurality of components (12) for forming the complete tool (10), wherein the complete tool (10) is a printing tool, in particular a printing die, or a drawing tool, in particular a drawing die (20), the method (100) comprising the steps of: - reading (110) a digital pattern (14) of a body part (16) to be produced by the complete tool (10) into a trained machine learning model; - creating (120) a digital contour profile (18) by a CAD system, in particular by mapping it onto the complete tool (10); - predicting position points and orientations of components (12) for forming the complete tool (10) by the trained machine learning model, based on the contour profile.

The application discloses a CAD system interfile reconstruction method and device, comprising: when a first CAD system transmits a model to a second CAD system, obtaining a mapping table previously created between the first CAD system and the second CAD system; obtaining a to-be-transmitted file of the first CAD system; parsing the to-be-transmitted file to obtain model parsing data of the to-be-transmitted file; determining equivalent implementation data of the first CAD system in the second CAD system according to the mapping table; and applying the model parsing data to the equivalent implementation data to obtain a reconstructed file adapted to the second CAD system. The method of the application effectively retains key parameterized information of a model through an intelligent mapping and reconstruction mechanism, enables a target CAD system to directly inherit parameter editing capability of a source model, significantly improves cross-system model reusability and design optimization efficiency, and avoids information discontinuity problems in a traditional transmission mode.