498results about "CAD customisation/personalisation" patented technology

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.

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 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 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.

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.

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 relates to a multi-step method with a number of processes and sub-processes that interact to allow for the selection, design and / or manufacture of a protective sports helmet for a specific player, or a recreational sports helmet for a specific person wearing the helmet. Once the desired protective sports helmet or recreational sports helmet is selected, information is collected from the individual player or wearer regarding the shape of his / her head and information about the impacts he / she has received while participating in the sport or activity. The collected information is processed to develop a bespoke energy attenuation assembly for use in the protective helmet. The energy attenuation assembly includes at least one energy attenuation member with a unique structural makeup and / or chemical composition. The energy attenuation assembly is purposely engineered to improve comfort and fit, as well as how the helmet responds when an impact or series of impacts are received by the helmet.

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.

The invention provides a motor multi-target optimization method and device, a medium and a program product, and relates to the technical field of motor design and development, and the method comprises the steps: obtaining a plurality of to-be-optimized targets of a target motor; determining a motor performance index matched with each to-be-optimized target and a motor design parameter variable matched with the motor performance index; a simulation model and a processing script are obtained, and the processing script is used for generating model input based on the motor design parameter variables, generating model output based on the motor performance indexes and controlling the simulation model to operate at multiple working condition points; starting the processing script to run the simulation model, and obtaining model output of a plurality of working condition points; and carrying out joint checking calculation on the multiple to-be-optimized targets based on the model output, and determining an optimization result of the motor design parameter variables based on a checking calculation result. According to the method, manual intervention is reduced through an automatic process, the optimization precision is improved, an exclusive optimization process for a specific motor can be constructed, and the design efficiency is remarkably 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.

Computer-implemented method for detecting clusters and / or behavior patterns in cooking appliances, comprising at least the steps: • Collecting and / or receiving first data sets from at least one cooking appliance; • Creating at least one prediction model based on an automatic analysis of the first data sets, in particular based on machine learning and / or artificial intelligence.

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 provides an embroidery needle path generation method and system based on image processing, and the method comprises the steps: receiving an embroidery pattern image uploaded by a user, obtaining each independent design element and an embroidery parameter corresponding to the design element, constructing a three-dimensional space model according to the design element, and defining an embroidery path corresponding to each design element. An optimized embroidery path and optimized embroidery parameters corresponding to the optimized embroidery path are obtained by utilizing a genetic algorithm, target embroidery parameter configuration is obtained by utilizing a virtual reality technology, and an embroidery process chain is generated by utilizing a block chain technology according to the target embroidery parameter configuration. According to the technical scheme provided by the invention, the fineness and artistic expressive force of a final embroidery product are improved, the precision of an embroidery path is improved, and unnecessary thread changing times and embroidery time are reduced.

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.

To provide footwear having fitting properties with which a user is satisfied.SOLUTION: A design assistance device 1 comprises: an input unit that receives, from a plurality of users, fit level data 10 evaluated by a user for each of regions and pressure data 20 obtained by determining a pressure applied to the foot for each of the regions when footwear 40 is worn; a computation unit that, on the basis of the level data 10 and the pressure data 20 received from the plurality of users, determines, as a prediction formula 30, a relationship between the fit level and the pressure applied to the foot at the level for each region; a storage unit that stores the prediction formula 30 determined by the computation unit; and an output unit that outputs the pressure applied to the foot. When the input unit newly receives a fitting level from the user, the computation unit, on the basis of the prediction formula 30, determines, from the received fitting level in a region, the pressure applied to the foot in the region of the footwear 40.SELECTED DRAWING: Figure 1