345results about "CAD customisation/personalisation" patented technology

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 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.

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.

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.

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 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 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 discloses a presale fund supervision method and device based on multi-objective optimization, and relates to the field of financial risk management. Constructing a dynamic knowledge graph by fusing multi-source data, and forming an entity relationship network of a project, an enterprise and an associated party to quantify a risk path; predicting the comprehensive risk probability by adopting multiple models integrating static, time sequence and graph neural networks; the probability is input into an optimization decision engine, an improved multi-objective evolutionary algorithm is used to solve a Pareto optimal solution set of fund security, flow efficiency and project delivery rate, and objective weights are adjusted according to dynamic constraints; and finally, matching an optimal solution based on decision preference through a man-machine cooperation interface, automatically generating a personalized early warning and response strategy, and deploying and executing the personalized early warning and response strategy. According to the invention, dynamic and accurate supervision of presale funds is realized, and the fund security and the project delivery guarantee level are effectively improved.

Systems, methods and / or interfaces are provided for generating interior design options. In some implementations, the method includes obtaining an inspiration image of a portion of a room, a furniture, fixture and equipment, or a combination. The method also includes parsing the image, including segmenting the inspiration image into sub-images corresponding to each furniture, fixture or equipment. The method also include identifying alternatives based on the sub-images and a layout of the room, including coordinating the alternatives with respect to each other and coordinating the alternatives with respect to the room. The method also includes generating and / or displaying variations of the room with images corresponding to the alternatives. In some implementations, the method includes parsing an image to generate an empty room sketch or schematic, generating alternatives to be placed in the empty room according to the room, and generating and / or displaying a visualization by placing the alternatives in the room.

Aspects described herein relate to the automatic generation of floorplan layouts based on a floorplan image. Image data comprising an image of an area may be accessed. Based on the image data, a floorplan of the area may be determined. A determination of whether constraints associated with occupancy are met may be made. Based on the constraints being met, and based on the floorplan, a light zones map may be generated. Based on the light zones map, spatial zones corresponding to the light zones may be determined. Based on the spatial zones, candidate floorplan layouts may be generated. Based on application of metaheuristic algorithms or machine-learning models to the candidate floorplan layouts, a subset of candidate floorplan layouts may be selected from the plurality of candidate floorplan layouts. Furthermore, floorplan layout data comprising a subset of floorplan layouts for use by a design application may be generated.

The invention discloses a highway engineering parametric modeling method based on a digital-analog driven component library, which comprises the following steps of: bringing different types of component space constraint logic (namely primary and secondary hierarchy rules) into a whole model modeling process, and determining a key design baseline point set of mutual influence among components by extracting section forms of different components; and on the basis of the design points and the standard cross section, parameterizing to generate space coordinates of different components and a coupling form with the terrain so as to support rapid adaptation and accurate construction of a three-dimensional model to complex route conditions. Through the mode, the technical problems that fitting precision of a parameterized model standard section and topographic data is lost and relevance between components is weak under the condition of a complex route are solved, meanwhile, corresponding design baselines and section parameters are stored through a database, section parameters and spatial positions of different components are calculated on the basis of clear spatial constraint logic, and therefore the fitting precision of the parameterized model standard section and the topographic data is improved. And rapid positioning, parameter updating and structure collaborative adjustment of the component are realized, so that the modeling efficiency and the design flexibility are remarkably improved.

The invention discloses a turbine blade surface skin parameterized mapping grid creation and automatic interpolation method, which realizes efficient post-processing of blade surface simulation data through molded line partition splitting, arc length parameterized grid generation and physical quantity data interpolation, and comprises the following steps of: firstly, performing partition preprocessing on a blade molded line according to a pressure surface, a suction surface and front and rear tail edges; constructing a body-attached parameterized grid; then simulation data are imported and automatically partitioned, an optimization interpolation algorithm is adopted for different regions, and the interpolation precision is improved in combination with an invalid value correction technology; and finally, mapping the three-dimensional data to a two-dimensional parameter plane to realize feature visualization and analysis. According to the method, manual intervention is remarkably reduced through an automatic process, the post-processing efficiency is improved while the data precision is guaranteed, and reliable support is provided for pneumatic optimization and cooling design of the turbine blade.

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.

A system and method for architecturally designing and manufacturing building structures customized for environments vulnerable to extreme weather events or other natural phenomena. The method includes determining an environmental susceptibility of a proposed building location, designing building components factoring in geographical and climate-related features, manufacturing the building components, and assembling the building structure in a manner better configured to resist extreme weather or natural events.

A system for selecting an intraocular lens for implantation into an eye includes a controller adapted to selectively execute a finite element model and a machine learning module. The controller is adapted to receive input data, including one or more biometric parameters of the eye. A plurality of capsule parameters are extracted based on the input data, via the machine learning module. The controller is adapted to determine an axial displacement factor based in part on the plurality of capsule parameters, via the finite element model. The axial displacement factor accounts for a predicted axial shift of the intraocular lens after implantation into the eye. The axial displacement factor may be incorporated into the final intraocular lens power when calculating a lens constant parameter utilizing the finite element model and machine learning modules.

The invention relates to the technical field of decoration design, in particular to a house type-based whole-house water and electricity wiring system and method in decoration software. Multi-modal input and natural language processing are supported through a user demand analysis module, personalized demands of a user are dynamically captured, a structured tag library is generated, a rule engine, cost estimation and a genetic algorithm are combined, initial scheme dynamic generation based on house type data and user preferences is achieved, and the user experience is improved. The scheme optimization module allows a user to perform manual fine adjustment or automatic optimization on a scheme, the system calculates adjustment influence in real time and compensates wiring of adjacent areas, complete scheme recalculation caused by fine adjustment of house type parameters is avoided, the conflict detection module ensures compliance in the scheme adjustment process, verification logic is further optimized, and repeated conflicts are reduced; therefore, the problems of computing resource waste and response delay caused by static data of a traditional wiring system are solved.

The invention relates to the technical field of ink proportioning, and discloses an ink proportioning optimization method and system based on machine learning, and the method comprises the steps: constructing a multi-mode ink characteristic database; designing a multi-modal fusion model based on a visual language pre-training technology; a three-mode feature alignment mechanism is realized; establishing a condition generation framework to realize proportion optimization; and deploying a feedback iteration system. Through the multi-modal fusion and visual language pre-training technology, accurate bidirectional mapping between the sensory characteristics and the chemical proportion of the ink is realized, direct generation of an accurate proportion scheme from unstructured requirements of a user is supported, the experiment cost is reduced, the optimization time of the ink proportion is shortened from several weeks to several days, and the optimization efficiency of the ink proportion is improved. And a reverse proportioning design which is oriented by a result is supported, so that powerful technical support is provided for innovation of ink products.

In some implementations, a method for custom fitting and manufacturing parametric products comprises: generating a parametric model of a custom product based on past learned data pertaining to the custom product and user-specific data of a user; translating the parametric model of the custom product to a plurality of parameters of the custom product; based on the plurality of parameters, generating a first graphical representation of the custom product; generating a first user interface and displaying the first user interface; receiving a plurality of adjustment parameters for improving a fit of the custom product in relation to the user-specific data; based on the plurality of adjustment parameters and the plurality of parameters of the custom product, generating, for the custom product, a parametric fit model having a plurality of fit model parameters; transmitting the parametric fit model to a manufacturer to cause the manufacturer to produce a parametric physical product.

The invention relates to the technical field of knee joint brace design, and discloses a knee joint brace personalized design method based on 3D printing. The method comprises information of a skeleton structure, a soft tissue contour and a joint motion range. Determining a personalized anatomical feature set of the knee joint by combining a preset knee joint biomechanical knowledge base on the basis of the three-dimensional scanning data; according to the personalized anatomical feature set and the corresponding at least one design rule file, dividing the stereo scanning data into a macroscopic structure region and a microscopic detail region; the macrostructure area outputs skeleton frame data, and the data is transmitted to the microcosmic detail area for guiding soft tissue matching analysis; constructing a three-dimensional model of the knee joint brace based on a division result; and converting the three-dimensional model into a 3D printing instruction file which is used for driving 3D printing equipment to produce the personalized knee joint brace. According to the method, personalized manufacturing of the knee joint brace is achieved through multi-dimensional data fusion and structural collaborative design.

The invention relates to the technical field of intelligent design of optical lenses, and discloses a multi-series superposed complex periodic structure arrangement method and system.The method comprises the steps of normalized coordinate transformation, multiple sine wave superposition, an iterative function system, a Julia set algorithm, an LSystem grammar system, parameter adjustment, moire fringe fusion and the like; and a complex periodic structure with high complexity, adaptability resistance and natural morphological characteristics is generated. Advanced technologies such as logarithm uniform distribution wave number generation, a chaos game algorithm, linear mapping complex number conversion, a turn graph interpreter, multi-scale entropy complexity quantification and an Otsu automatic threshold method are adopted, and accurate parameterization control and manufacturing adaptation are achieved. The system comprises a coordinate transformation module, a wave interference calculation module, a fractal generation module, a complex power system module, an LSystem processing module, a parameter control module and a contour surface extraction module. According to the invention, a systematic solution can be provided for complex structure design of optical devices such as myopia prevention and control lenses.

The application provides a high-precision dot array density development method, system, medium and product of a beauty lens, relates to the technical field of beauty lens production, and comprises the following steps: obtaining multi-modal fashion data through a crawler technology and extracting a trend semantic vector from the multi-modal fashion data; mapping the trend semantic vector to micro-physical parameters for defining a beauty lens pattern based on a pre-trained neural network model to obtain an initial dot array parameter set; performing graphical rendering on the initial dot array parameter set to obtain a plurality of initial beauty lens dot array patterns; simulating the wearing effect of each initial beauty lens dot array pattern on a three-dimensional human eye model through simulation software to obtain a plurality of virtual wearing effect diagrams; and determining an initial beauty lens dot array pattern with an aesthetic evaluation score greater than a preset score threshold as a final beauty lens dot array pattern. By implementing the method, the limitations of a traditional design element library are broken, the generation of beauty lens patterns is more innovative and diverse, and the innovation and pop fit of the beauty lens patterns are improved.

The invention belongs to the technical field of building design, and discloses an environment-friendly fabricated building modular design method. The method comprises the steps that customer demand data is acquired and analyzed, building components are determined, and adaptive components are screened out from a pre-constructed modular component library; building components which do not exist in the modular component library are marked as missing components, and all the missing components are subjected to personalized design; combining all the adaptive components and the missing components to form a fabricated building model, comprehensively evaluating the environmental protection performance, and judging whether a component optimization instruction is generated or not; if the component optimization instruction is generated, evaluating the environmental protection performance of each adaptive component and the missing component, and identifying a defective component; parameter optimization is carried out on each defective component, and a design scheme is generated; according to the method, diversified building requirements can be effectively met, in-depth analysis and customized design of building components are achieved, and the environmental influence is reduced to the maximum extent.

The application provides a kind of urban design scheme image generation method and device, with such characteristics, including step S1, according to existing city planning image construction training data set;Step S2, construct planning parameter prediction model and design generation model, and according to training data set respectively training, obtain trained planning parameter prediction model and trained design generation model;Step S3, input specified region image into trained planning parameter prediction model, obtain corresponding predicted planning parameter;Step S4, input predicted planning parameter and specified region image into trained design generation model, obtain design scheme image.In short, the method can generate effective and have specified features and style design scheme image according to specified image.

The invention provides a footwear design method based on gait biomechanics and a footwear, which integrate an integrated process of foot biomechanics modeling, dynamic gait data acquisition, multi-region lattice structure configuration, multi-target collaborative optimization and additive manufacturing, and realize direct mapping from individual biomechanics characteristics to personalized footwear products. The fundamental problem that a traditional shoe design cannot meet the differential biomechanical requirements of multiple areas of the foot in the dynamic gait cycle at the same time is solved, and systematic and accurate adaptation is achieved.

The invention discloses a case panel standardization design method. The method comprises the steps that an original design drawing of a case panel is obtained; obtaining original line information, original size information and original character attribute information of an original design drawing of the case panel according to preset modifiable attribute information; judging whether the original line information and the original size information are matched with a standard panel design drawing or not; if the original size information is not matched with the standard panel design drawing, modifying the original size information to be the same as the standard panel design drawing in size, and determining a corresponding panel model to obtain a processing design drawing; judging whether the original character attribute information is the same as the additional demand information or not; and if not, modifying the original character attribute information in the processing design drawing according to the additional demand information. According to the method, automatic analysis and adaptive adjustment of the original design drawing are realized, so that the production efficiency is improved, and the cost is reduced. The invention further discloses a device for implementing the method, electronic equipment and a storage medium.

Computer system (100) and computer-implemented method are provided for automated generation of manufacturing-machine control data (291) for the manufacturing of an orthodontic appliance (280) for a patient (2). Based on three-dimensional representations (210) of the patient's oral anatomy and an appliance type (211) of the orthodontic appliance, the system generates a control structure (111) comprising a mesh providing an initial representation (111pi) of an aimed appliance geometry, and subdivision manifold-related shape attribute information (Ills) with a subdivision scheme, implicit manifold-related shape attribute information (111i) with a scalar field, and information for evaluating a respective position of the respective vertex. Executing a subdivision according to the subdivision scheme generates a modified control structure (111m). For added vertices, respective shape attribute information is evaluated to obtain the position of the respective vertices. Once a final mesh is obtained, it is transformed into manufacturing-machine control data for the manufacturing of the orthodontic appliance, and provided to corresponding manufacturing means (290).

A system for selecting an intraocular lens (IOL) for implantation in an eye includes a controller adapted to selectively execute a finite element model (FEM) and a machine learning module. The controller is adapted to receive input data including one or more biometric parameters of the eye. Based on the input data, a plurality of capsule parameters are extracted via the machine learning module. The controller is adapted to determine an axial displacement factor, in part, based on the plurality of capsule parameters via the FEM. The axial displacement factor takes into account the predicted axial offset of the IOL after implantation in the eye. When calculating lens constant parameters using the FEM and machine learning module, the axial displacement factor can be incorporated into the final IOL power.

Systems and methods for protecting an object are disclosed. The object protection system for packaging a three-dimensional object comprises a scanner to scan the object and generate a digital representation of the object. The system comprises a feature database configured to store one or more attributes of the object identified from the digital representation. The one or more attributes comprises packaging contact points. The system further comprises an object analyzer configured to analyze the one or more attributes of the object to determine one or more brace inserts and material requirements for packaging. The system includes a fabrication subsystem configured to generate fabrication files based on the analyzed attributes and communicate with a manufacturing system to produce the one or more brace inserts. The system also includes a packing list generator configured to generate a customized packing list detailing assembly of the one or more brace inserts for packaging.

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.