647results about "CAD customisation/personalisation" patented technology

A computer-implemented method for designing a patient-specific orthopedic implant can include creating a user account associated with a patient. A patient-specific orthopedic implant can be designed based on patient data and imaging data. A healthcare provider can provide feedback for a design of the patient-specific orthopedic implant, treatment protocol, or other aspects of treatment. The patient can provide data and feedback.

The invention relates to the technical field of clothing data processing, in particular to a digital design method of three-dimensional prototype clothing. The method comprises the following steps: obtaining human body three-dimensional scanning data and carrying out feature point labeling, reconstructing a three-dimensional human body model as basic data of costume design, carrying out contour looseness calculation on the human body model, generating a looseness data set, carrying out sample plate plane analysis to obtain a plane sample plate data set, and after collecting costume fabric data, carrying out data processing on the plane sample plate data set. The method comprises the following steps: performing physical characteristic mapping on a human body model and a planar template, reconstructing a three-dimensional garment model conforming to fabric characteristics, performing spatial positioning on the template, performing virtual sewing simulation, generating a shape data set of the garment, performing dynamic motion analysis on the shape data of the garment according to the human body three-dimensional model, and evaluating the comfort level of the garment. The garment form is locally adjusted to reconstruct a planar template. According to the invention, a more comprehensive and more reliable digital design method of the three-dimensional prototype clothing is realized.

The invention relates to an activity scene arrangement scheme generation method and system, and the method comprises the following steps: obtaining activity scene data, and carrying out the analysis to obtain an activity theme and the characteristics of participants; objective condition parameters of the target site are obtained, and the candidate arrangement elements are screened; constructing a multi-dimensional attribute vector according to the screened arrangement elements; clustering the multi-dimensional attribute vectors, and performing spatial layout planning on layout elements; performing combined optimization on the generated spatial layout plan, color scheme and light effect setting; the time period of the activity is extracted, and the recommended arrangement scheme is adjusted according to the relevance; and performing visual rendering on the adjusted recommended arrangement scheme, and optimizing and determining an activity scene arrangement scheme. Intelligentization and individuation of activity scene arrangement are achieved, integrity, creativity and coordination of the arrangement effect are improved, meanwhile, influences of actual site conditions and activity time are considered, and a more optimized scene arrangement solution is provided for a user.

The invention relates to the technical field of modular assembly production lines, in particular to a modular flexible digital twin layout optimization method and system. Comprising the following steps: constructing multi-dimensional constraint modeling, constructing a multi-objective optimization model containing route length, equipment cost and human resource quantity, and generating an initial layout scheme based on three-dimensional geometric attributes and logistics paths of production line equipment; dynamic weight distribution is carried out, according to priority parameters input by a user, a route optimization weight # imgabs0 #, a cost optimization weight # imgabs1 # and a human resource weight # imgabs2 # are adjusted in real time, and a dynamic weight combination matrix is generated; digital twinborn simulation is carried out, the initial layout scheme is mapped to a digital twinborn platform, and the actual equipment utilization rate, the material carrying efficiency and the worker operation path are calculated through logistics path simulation; according to the scheme, dynamic balance multiple targets can be provided based on a simulation result, simulation and optimization real-time linkage can be realized, and a layout optimization technology of a multi-dimensional verifiable scheme is provided.

According to the intelligent energy-saving analysis method based on the building information model (BIM), building thermal performance parameters and an intelligent simulation algorithm are integrated, building heat conduction, a heat bridge effect and solar heat gain are accurately simulated, and a scientific basis is provided for design. Meanwhile, an energy-saving optimization strategy is automatically generated, such as wall thickness adjustment and window design, so that energy consumption is reduced. Besides, a multidisciplinary cooperative working platform is established, effective implementation of energy-saving measures is ensured, and energy use and maintenance tracking of the whole life cycle of the building are realized and energy-saving performance is continuously optimized in combination with an energy management system. The innovation of the method lies in the automatic and intelligent analysis process, and a comprehensive solution is provided for the field of building energy conservation.

The invention discloses a model construction method and system based on indoor decoration interactive design, and relates to the technical field of intelligent design, and the method comprises the steps: generating a diversified design sketch through an AI generation tool, collecting customer feedback data, determining customer demands, and generating a basic design scheme; creating an interactive ecology home 3D model by using a parameterized design tool, and adjusting a basic design scheme according to customer requirements; based on the adjusted basic design scheme, optimizing visual requirements of the basic design scheme through a V-Ray rendering engine; based on visual requirements, acoustic simulation software and a sensor are utilized to analyze spatial acoustic performance, ecological integration is completed, and intelligent control and AR interaction of an ecological environment are performed in combination with IoT and a user interface. According to the method, the interactive ecology home 3D model is combined with the AI generation tool, the parametric design, the V-Ray rendering engine, the biological feedback technology, the acoustic simulation software and the IoT and AR application, so that an efficient, flexible and personalized design process is realized.

The invention belongs to the technical field of high-performance composite materials, and discloses a carbon fiber reinforced thermoplastic composite material performance database, a construction method and application thereof, and the method comprises the following steps: S1, database structure construction; s2, experimental sample collection and data standardization; s3, feature engineering and variable reduction; s4, training a machine learning model; s5, constructing and verifying an adaptive model; and S6, data expansion and feedback optimization. According to the method, material performance prediction and formula parameter reverse design under target performance are realized through systematic acquisition and normalization processing of three types of data of material components, preparation process and performance characterization and building of a nonlinear mapping model among a material structure, a process and performance through a machine learning method. The database can be used for intelligently recommending a high-performance composite material combination scheme, is suitable for rapid screening and customized development of various thermoplastic composite materials, effectively reduces the research and development cost and development cycle, and improves the material design efficiency.

The invention discloses an electronic sand table personalized recommendation system in a virtual construction system based on GraphRAG. The electronic sand table personalized recommendation system comprises a data acquisition module used for acquiring user behavior data, scene perception data and industry knowledge data; the data processing and analysis module is used for analyzing user behavior data and scene recognition and comparison; the GraphRAG retrieval enhancement module is used for constructing a knowledge graph, retrieving a template and a component library and enhancing the retrieval capability; the personalized recommendation module is used for recommending sand table templates and sand table components; the personalized explanation generation module is used for generating personalized explanation for the recommended templates and components by utilizing a GraphRAG technology; the visual interaction module comprises a template, component interaction and dialogue interaction; and the dynamic adjustment updating module is used for scene change identification and user feedback analysis. According to the method, the behavior data of the user and the three-dimensional scene information are combined, and the industry knowledge graph is utilized, so that scene perception and personalized recommendation are realized, and the intelligent level of virtual construction is effectively improved.

The invention discloses a building decoration intelligent design method and system based on a user portrait, and relates to the technical field of smart home and artificial intelligence, and the system comprises the following components: user data collection and portrait construction, a biological rhythm analysis model, an intelligent design algorithm, an interactive design platform, and implementation and feedback. Based on biology, psychology and environmental science theories, a biological rhythm analysis model is established, the potential influence of different building decoration elements on the biological rhythm of a user can be predicted and evaluated, through application of an intelligent design algorithm, the system can automatically match and optimize a building decoration design scheme, and the design efficiency is improved. The design scheme is ensured to meet the personalized requirements of the user, and meanwhile, the biological rhythm harmony of the user is promoted to the maximum extent, which is of great significance for improving the physical and psychological health level of the user and improving the quality of the living environment.

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 belongs to the technical field of garment fabric processing, and relates to a garment fabric tailoring path optimization analysis method and system.The garment fabric tailoring path optimization analysis method comprises the steps that a reference tailoring path of garment fabric is determined according to the edge contour of a garment template, and stress data of monitoring nodes on the reference tailoring path are collected through a stress sensor; according to the stress data of the current cutting monitoring node and the stress data of the previous monitoring node, predicting the stress change of the next monitoring node to be cut, quantifying the deformation parameters of the garment fabric under the influence of the stress change, and inputting the deformation parameters of the garment fabric into a cutting path offset model, and determining the cutting path offset corresponding to the garment fabric deformation trend of the next to-be-cut monitoring node, so as to carry out dynamic path compensation on a garment fabric reference cutting path, and meanwhile, carrying out vacuum adsorption mechanism trigger judgment and dynamic cutting speed adjustment, so that high-precision and self-adaptive dynamic path optimization is realized. The cutting quality and efficiency are remarkably improved.

The invention relates to the technical field of intelligent control, in particular to a customized furniture intelligent manufacturing platform which comprises a data-driven behavior analysis module, a personalized space modeling module, an intelligent design generation module and a component interaction optimization module. According to the furniture design method and system, through real-time monitoring and accurate analysis of the behavior data of the user, the individuation degree and accuracy of furniture design are improved, it can be ensured that the design scheme is optimized completely according to the actual use habit and comfort requirement of the user, the user satisfaction degree and the practical value of a product are greatly improved, and the user experience is improved. A three-dimensional model is used for dynamically simulating a living space and optimizing furniture layout, the visualization and interactivity of design are remarkably enhanced, the rework rate in the design and production process is reduced, meanwhile, the selection and matching process of components is effectively simplified through intelligent recommendation, material waste is reduced, the production cost is reduced, and the production efficiency is improved. Meanwhile, the environmental protection property and the economic efficiency of the production process are improved.

A computer-implemented method for designing a patient-specific orthopedic implant can include creating a user account associated with a patient. A patient-specific orthopedic implant can be designed based on patient data and imaging data. A healthcare provider can provide feedback for a design of the patient-specific orthopedic implant, treatment protocol, or other aspects of treatment. The patient can provide data and feedback.

A computer-implemented method and apparatus for managing physical and digital products' customization using container format are disclosed. In some embodiments, the method comprises receiving a container file with serialized objects, deserializing these objects to form a hierarchical object structure, and interacting with a database to obtain real-time configuration data. Custom attributes of the products are defined by binding attribute / value pairs to the hierarchical structure. A visualization of the customized product is generated based on these pairs, and manufacturing instructions are determined considering the attribute / value pairs and manufacturing constraints. The apparatus comprises a memory and a processor to execute instructions for deserializing the container file, retrieving configuration data, organizing objects into a hierarchical tree, negotiating product customizations, and outputting manufacturing data. This system enables efficient and accurate production of customized products by managing data, rendering graphics, and incorporating manufacturing constraints.

The invention relates to the technical field of costume designing and manufacturing, in particular to an individualized costume template generation method and system, and the method comprises the steps: obtaining the three-dimensional body shape data of a user; extracting size data of the target part from the three-dimensional body shape data; according to the size data, adjusting a universal sample plate of the preset target garment to generate a customized garment sample plate; generating a digital file of the customized garment template; and generating a processing order based on the digital file and the clothing material parameters. Therefore, the personalized garment template can be quickly generated to facilitate production of personalized garments, and the satisfaction degree of customers is improved.

To provide a management system that improves the maintainability of a configurator.SOLUTION: A management system manages a configurator that selects candidate combinations of elements that configure a product. The management system comprises: a storage unit for storing configuration information that defines data related to the elements, data related to connections between the elements, and data related to constraints on the connections; and a control unit for selecting candidates for the combination based on a request received from a user and rules related to the combination of the elements generated from the configuration information.SELECTED DRAWING: Figure 1

The invention provides a high-precision dot matrix density cosmetic contact lens development method and system, a medium and a product, and relates to the technical field of cosmetic contact lens production, and the method comprises the steps: obtaining multi-mode fashion data through a crawler technology, and extracting a trend language intention vector from the multi-mode fashion data; based on a pre-trained neural network model, mapping the trend language intention vector into a microscopic physical parameter for defining a cosmetic contact lens pattern to obtain an initial dot matrix parameter set; performing graphical rendering on the initial dot matrix parameter set to obtain a plurality of initial cosmetic pupil dot matrix patterns; simulating the wearing effect of each initial cosmetic contact lens dot matrix pattern on the three-dimensional human eye model through simulation software to obtain a plurality of virtual wearing effect pictures; and determining the initial cosmetic contact lens dot matrix pattern of which the aesthetic evaluation score is greater than a preset score threshold as a final cosmetic contact lens dot matrix pattern. By implementing the method, the limitation of a traditional design element library can be broken, the generation of the cosmetic contact lens pattern is more innovative and diversified, and the innovativeness and the popular integrating degree of the cosmetic contact lens pattern are improved.

The invention provides a simulation model configuration method and device, equipment and a medium, and relates to the technical field of simulation, and the method comprises the steps: obtaining a target simulation model; in response to a scene view selection operation triggered by the user, matching a target object instance corresponding to the scene view selected by the user from the configured comparison table of different scene views and different target object instances; for any target object instance, in response to a scenario mode selection operation triggered by the user, determining a scenario initial value of the target object instance in the scenario mode selected by the user; and updating the instance value of each target object instance to a scenario initial value to obtain response configuration of the target simulation model under the scene view selection operation and the scenario mode selection operation. According to the method, scenario initial value setting is carried out on scene members through data source diversification and a dynamic adjustment mechanism, a framework is analyzed through a unified rule, and flexible initialization of a complex simulation model is achieved.

The invention belongs to the technical field of lenses, and discloses a lightweight structure design method and device of an optical lens. The method comprises the following steps: acquiring lens customization demand data, wherein the lens customization demand data comprises lens optical performance demand data, lens physical performance demand data and customer demand budget; processing the lens customization demand data by using a feature extraction method to obtain a customization demand structural body set; constructing a lens customization demand data tree according to the customization demand structural body set; obtaining a lens customization material set according to the lens customization demand data tree; according to the lens customization material set and the lens customization demand data tree, carrying out lightweight adjustment and optimization on the lens; according to the scheme, through intelligent lens demand analysis, optimization modeling and self-adaptive adjustment and optimization, lightweight adjustment and optimization of the lens are realized while individual demands of customers are met, and the flexibility and accuracy of lightweight design of the lens are improved.

The invention is suitable for the technical field of garment customization, and particularly relates to a garment customization 3D simulation and process sheet automatic generation method based on artificial intelligence, and the method comprises the steps: providing basic data support through obtaining garment customization parameters; three-dimensional parameter modeling is carried out based on the garment customization parameters, a three-dimensional fitting model corresponding to the garment customization parameters is determined, and the garment upper body effect is visually displayed; performing discrete grid division on the three-dimensional fitting model to obtain a first triangular grid topology corresponding to the three-dimensional fitting model; performing physical constraint iteration on the first triangular mesh topology based on the garment customization parameters to obtain a second triangular mesh topology corresponding to the three-dimensional fitting model; based on the second triangular mesh topology, a customization process sheet corresponding to the garment customization parameters is obtained, simulation and process sheet integration is achieved, the garment making efficiency and quality are effectively improved, and cut-part sewing errors are reduced.

The invention provides a cultural creative design assisting method and system based on element fusion. Belongs to the technical field of creative design. The method comprises the steps that design elements are acquired and classified; on the basis of a deep learning algorithm, a semantic network between elements is constructed, the semantic network is converted into a low-dimensional vector space through a network embedding technology, and user preference, emotional tendency and future trend are analyzed in combination with social media data; and generating a fusion scheme, and carrying out continuous iterative optimization on the design. The semantic relation between the design elements is analyzed, so that the internal relation between the design elements can be deeply understood; through a complex network theory, a language network model between design elements is constructed, the relationship between different elements can be visualized, and high efficiency and systematicness of design decision are facilitated.

Provided in the present application are a data processing method for a warehouse logistics scheme, and a related apparatus, which method and apparatus are applied to a terminal device. The method comprises: in response to an information input operation of a target user in respect of a target project, determining project information of the target project; sending the project information of the target project to a server; receiving a scheme detail interface from the server in respect of the target project, wherein the scheme detail interface comprises a reference warehouse logistics scheme display region, and the reference warehouse logistics scheme display region is used for three-dimensional display of a reference warehouse logistics scheme generated by the server in respect of the target project; and displaying the scheme detail interface. In this way, functions of a system are enriched, the intelligence of the system is improved, and the time consumed by the user for designing a detailed warehouse logistics scheme for a target project is saved on, thereby improving the efficiency of scheme confirmation.

The invention discloses a personalized PEEK (Polyether Ether Ketone) implant prosthesis and a design method thereof. The prosthesis is a chin prosthesis connected with the mandible of a human body and is made of polyether-ether-ketone (PEEK); the thickness and the shape of the chin region at the bottom of the prosthesis are designed by taking an ideal side appearance profile as a guide; a step is designed in a bone broken end area on the inner side face of the prosthesis, and the side face width of the step is matched with the movement amount of a free bone block. The inner side face of the prosthesis wraps the mandibular margin, and the two sides of the prosthesis are naturally connected with the mandibular margin. Compared with a traditional titanium fixing plate, the elastic modulus of polyether-ether-ketone is close to that of the jaw bone, and the stress shielding effect can be reduced. The personalized polyetheretherketone prosthesis is designed according to the shape of the retreated bone segment end in the operation, the lower jaw front bone block is integrally fixed, errors generated by bending a titanium plate in the operation are avoided, and the accuracy and stability of moving and positioning of the bone block are ensured. The chin shape can be designed in a personalized mode, the mass is light, and second-stage operation taking-out is not needed.

A computer-implemented method, for generating and using functional data containers (ZIGs) for designing, visualizing, and manufacturing a customizable product is disclosed. In some embodiments, the method comprises: initiating an application for generating functional data containers (ZIGs) and causing reading a list of resources that includes ZIGs and images; generating, using product definition information from each of the sets of product+manufacturing instructions, a proxy representation, of proxies, of each set that defines a transformation translation mechanism; combining the proxies and images into a file and saving the file; in response to determining that the file is used by another software application, opening the file in the another software application to allow editing the proxies, and saving the file with the set of product+manufacturing instructions once editing the proxies is complete.

The invention provides a process design method and system based on a structured process model and knowledge driving, and relates to the technical field of intelligent manufacturing and process design, and the method comprises the steps: obtaining a process design target and a production preparation element, carrying out the objectification structure of the process design target and the production preparation element, and constructing a structured process business model; based on the structured process business model, defining a typical process and application parameters by using an extensible classification characteristic and a combination mechanism; constructing a knowledge-driven process generation engine, and defining a comprehensive knowledge application rule based on a specific target process design in combination with the structured process business model; performing multi-scheme and operation configuration in a knowledge-driven process generation engine by utilizing a comprehensive knowledge application rule; and automatically generating a process design based on the multiple schemes and the operation configuration result, and outputting a final process scheme.

The invention relates to the technical field of three-dimensional scanning, in particular to a 3D printing product personalized design method based on a three-dimensional scanning human body model. The method comprises the following steps: acquiring human body three-dimensional scanning data and human body composition data; performing movable joint analysis on the human body three-dimensional scanning data to generate human body movable joint data; performing distributed three-dimensional model modeling on the human body three-dimensional scanning data based on the human body movable joint data to generate a human body three-dimensional model; initial human body fitting product design is conducted on the human body three-dimensional model based on the 3D printing technology, and initial 3D printing product parameter data are obtained; according to the method, by combining the human joints, the body composition data and the user feedback, the fitness and the personalized design precision of the 3D printing product are optimized, and the precision and the flexibility of the personalized design of the 3D printing product are 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 discloses a DiT architecture-based costume design increment generation method and system, and relates to the technical field of fashion design. According to the method, the powerful generation capability of the DiT architecture is utilized, local details can be gradually adjusted through multi-stage increment generation and refinement on the basis of initial design, and design continuity and local refinement adjustment are achieved. Through combination of a condition control technology and a multipath diffusion model, a designer can flexibly modify a specific area in a design process and dynamically optimize an overall design scheme according to feedback. According to the method, the precision and controllability of costume design are remarkably improved, the problem of insufficient flexibility in a traditional design process is effectively solved, and a more intelligent and efficient design tool is provided for designers. According to the method, gradual refinement and adjustment of the design can be realized through combination of staged increment generation, condition control and multi-path diffusion, so that the defects of a traditional design tool are remarkably overcome.

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 an aided design method, electronic equipment and a storage medium, and the method comprises the steps: responding to a received starting instruction of design software, and starting an aided design interface to obtain a preset operation; obtaining or generating a target template and a first design parameter of the target template according to a preset operation; receiving an adjustment operation for the first design parameters, and adjusting the first design parameters according to the adjustment operation to obtain second design parameters for generating the target model and a constraint relationship between the second design parameters; and sending the target template, the second design parameters and the constraint relationship among the second design parameters to design software, so that the design software generates a target model according to the target template, the second design parameters and the constraint relationship among the second design parameters. According to the technical scheme, the template is determined based on the aided design interface, the model is automatically generated according to the design parameters and the constraint relation corresponding to the template, the design process is simplified, the error rate is reduced, and the overall working efficiency is improved.