151 results about "User design" patented technology

The embodiment of the invention relates to the field of data processing, and provides a training method based on a large model and a related device, and the method comprises the steps: carrying out the interaction of an evaluation stage with a user through the large model, obtaining evaluation interaction data, and carrying out the real-time evaluation analysis based on the evaluation interaction data, so as to obtain a personalized portrait of the user; generating a training scheme according to the personalized portrait; and carrying out interaction in a training stage with the user through the large model based on the training scheme, so that the user completes the training scheme. According to the embodiment of the invention, interactive intelligent guidance can be carried out through a large model, so that more real multi-dimensional assessment interaction data for assessing the psychology of the user is obtained, more accurate psychological characteristics are obtained, a targeted training scheme is conveniently designed for the user, and the user experience is improved. The psychological ability such as psychological toughness, emotion management and cognitive level of the user can be improved, and better experience is brought to the user.

The invention belongs to the technical field of computer aided design, and provides a spinning equipment design assisting method and system based on model collaboration. The method comprises the steps that a collaborative design system is constructed, a large language model receives design requirements of a user, performs task decomposition and calls corresponding professional agent models to execute design subtasks, and the professional agent models feed simulation calculation results back to a closed-loop feedback engine; the closed-loop feedback engine analyzes feedback results of the professional agent models and generates attention prompt signals pointing to potential design conflicts or optimization bottlenecks on the basis of interdisciplinary parameter coupling relations; and the large language model performs multidisciplinary coupling analysis by using the attention prompt signal, dynamically adjusts task planning and design parameters by focusing on key parameters and key disciplines pointed by the attention prompt signal, and drives related professional agent models to perform directional iterative optimization. According to the method, the blind iteration problem can be effectively avoided, and the convergence speed of the design and the scheme quality are improved in a high-quality mode.

Disclosed in the present invention are an engineering design preamble information generation method, an information display method and a drawing examination method. In the information display method, an information display plug-in that is pre-loaded in engineering design software is called to display preamble information related to the current drawing file and intelligent information related to a target object, such that a system can automatically display related intelligent information along with a design action during the process of a user designing the drawing file, thereby implementing follow-up information display; and the user is reminded of related design specifications at any time, thereby omitting the workload caused by a designer manually searching for the intelligent information, further solving the problem of various quality incidents occurring frequently due to incomplete searching, incorrect searching, etc., caused by the designer manually searching for the intelligent information, significantly improving the design research and development efficiency, and having positive economic benefits and social benefits for automatic design and subsequent automatic production in the manufacturing industry, the building industry and the engineering industry.

The invention discloses a micro-grid scheduling optimization method and system, a terminal and a storage medium. A user model of each user node in a micro-grid is established in advance; the user model comprises a plurality of energy models: a heating ventilation and air conditioning system model, a load model, a clean energy model, an energy storage system model, a user-power grid energy transaction model and an inter-user energy transaction model; determining a balance relation between energy loss and output according to the user model, and determining constraint conditions; establishing a user cost function of each user node according to the cost function of each energy model; and establishing an optimization problem according to the user cost function of each user node, obtaining an optimal solution according to the constraint condition and the optimization problem through an alternating direction multiplier algorithm, and determining an optimal scheduling scheme of the microgrid. All users are designed as peer-to-peer nodes, and a distributed scheduling algorithm is adopted, so that the autonomy of the system can be enhanced, the communication burden can be reduced, and meanwhile, the efficient privacy protection level can be 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 provides an intelligent generation method, system and device for game images and animations and a medium, and the method specifically comprises the steps: obtaining user design demand data, carrying out the feature extraction and style recognition of the user design demand data through a deep learning algorithm, and obtaining the key feature data of the game images and animations; obtaining specified style parameters, and based on the specified style parameters, analyzing the game image and animation key feature data according to a pre-trained GAN model to generate a target game image and animation; acquiring user equipment data of current user equipment, and adaptively displaying the target game image and animation on the current user equipment according to the user equipment data. According to the method, the process of game development and animation production is simplified, the technical threshold is reduced, and the creation efficiency and quality are improved.

The invention discloses a machine interaction method and device suitable for young children, equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting a prompt element in a process of operating a target function selected by a user, the prompt element comprises at least one of the following items: demand information input by the user, environment sound, and information input by the user; and generating a prompt word corresponding to the target function according to the prompt element, and generating and outputting reply content corresponding to the target function based on the prompt word. According to the man-machine interaction scheme, the input information is not limited to the fact that the user inputs natural languages and can also comprise environment sounds, the user does not need to design cue words, the cue words are automatically generated, and therefore the man-machine interaction threshold is lowered, and the man-machine interaction convenience of young children is improved.

The invention provides a system and method based on web application development, the system comprises a development platform and an operation platform, the development platform provides rich UI components, interaction information and a built-in API of data processing logic, and codes are expanded and executed through a dynamic context management system; the operation platform compiles and executes the structured data generated by the development platform so as to perform web application operation; according to the method, UI layout and interactive logic design are carried out through a visual interface, and a page structure and logic are generated; data processing, interaction logic and event binding are realized by utilizing an API (Application Program Interface) built in the platform; a context management system is used for transmitting states, events and methods in three levels of global, page and component, and data flow management is simplified; converting a page and logic designed by a user into structured DSL (Digital Subscriber Line) data, including component layout, event processing logic and a data transmission mechanism; the DSL data is analyzed through the operation platform, executable front-end codes are generated, and rendering and interaction of the Web application are achieved.

The invention provides a working scene creation method for a smart home and related equipment, and the method comprises the steps: obtaining target equipment for creating a working scene and expected information, and enabling the target equipment configured in the working scene to execute a configured scene action under the condition that a scene triggering condition is met; obtaining candidate functions of the target equipment according to the equipment information of the target equipment and a preset function logic constraint rule; according to the candidate function of the target equipment, performing natural language processing on the expected information to obtain preliminary scene logic; and creating a working scene according to the preliminary scene logic. According to the method and the device, the effect of automatically creating the working scene according to the requirements of the user is achieved, the problem of integrally controlling the fixation of the smart home scene template can be solved, the user can design the working scene of thousands of people, and the purpose of improving the user experience is achieved.

The invention discloses a building design method and device based on deep learning, equipment and a medium, and the method comprises the steps: obtaining an initial training model and to-be-trained building model data, and the initial training model comprises at least one design condition; inputting the to-be-trained building model data into the at least one design condition of the initial training model for training to obtain a target training model; obtaining at least one design parameter of a target building, wherein each design parameter is generated after a user assigns at least one design condition of the target building; and inputting the at least one design parameter into the target training model for training, and generating a target building model corresponding to the target building after the design of the at least one design condition, so that the building model meeting the condition can be quickly and accurately generated through the model training method, the design efficiency and precision are improved, and the design cost is reduced. And meanwhile, a greater design freedom degree is provided for a user designer.

The invention discloses a machine learning platform and method based on workflow, electronic equipment and a storage medium, and the platform comprises a management scheduling system, a workflow engine system and an operator runtime system. A user is allowed to construct a visual business process in a dragging and connecting mode, and each component corresponds to a specific AI algorithm processing unit written by Python; the platform supports the realization of multi-node business logic by using an operator concept by referring to a BPMN specification, automatically analyzes a flow chart designed by a user into a directed acyclic graph, converts the directed acyclic graph into an API calling sequence for a Python runtime system, disassembles a complex business system into a multi-branch and multi-step configurable process, and executes local logic by each node to realize multi-node business logic. The whole process is visually arranged, the development threshold is remarkably reduced, and the execution efficiency and the system flexibility are improved.

The embodiment of the invention relates to the technical field of air conditioner management, and discloses an energy efficiency monitoring method for a refrigerating machine room, which comprises the following steps of: displaying corresponding unit equipment in a unit construction area of an air conditioning system designer based on a configuration mode designed by a user so as to construct a unit connection system; according to each connecting pipeline clicked by the user, performing data association on each connecting pipeline clicked by the current user to generate a display pipeline assembly; according to an equipment data table configured by a user for each set equipment, determining a refrigeration parameter and a first energy efficiency parameter of each set equipment in the set connection system, and according to a pipeline data table configured by the user for each display pipeline assembly, determining a heat loss parameter of each display pipeline section in the set connection system, and determining a comprehensive energy efficiency value of the unit connection system, and displaying the comprehensive energy efficiency value. According to the scheme, efficient monitoring of the air conditioning unit can be achieved, and the overall management level is improved.

An anti-attack method based on an FPGA comprises the steps that EDA software generates an FPGA configuration file according to codes of a circuit designed by a user, and the FPGA configuration file is stored in a Flash chip; a multi-start identifier is set in the Flash chip; the FPGA is powered on, the multiple start identifiers set in the Flash chip are read, and the original code stream is read according to the multiple start identifiers for configuration; fPGA configuration is completed, and a secret key corresponding to a user design circuit is programmed to a battery backup random access memory through an internal debugging interface; and the FPGA sends reset to the control configurator through an internal debugging interface, reads the multi-start identifier in the Flash chip again, and reads the update code stream for configuration according to the multi-start identifier to realize circuit design by a user. According to the method, multiple times of active configuration are carried out on the FPGA by utilizing the multiple starting functions in the active mode, so that the risk that the FPGA is attacked in the configuration process is reduced, and the function of safely starting the FPGA to operate a user design circuit is realized.

The embodiment of the invention discloses an industrial model generation method. The method comprises the steps that a design intention input by a user is acquired, and the design intention comprises related information for generating a target industrial model; a first industrial model matched with the design intention is retrieved from an industrial model database, the first industrial model serves as a reference model, and according to the design intention, basic appearance fitting, independent appearance subcomponent fitting and surface concave-convex detail fitting are conducted on the first industrial model, so that a second industrial model serving as a target industrial model is obtained. According to the method, the multi-modal intention input by the user is understood, the industrial model meeting the multi-modal intention is matched in the model database to serve as the reference model, meanwhile, the basic model is continuously optimized based on deep understanding of the multi-modal intention input by the user, and the industrial model meeting the design intention of the user can be rapidly and accurately generated.

A system includes a hard network-on-chip (NOC) and lookup table random access memory (LUTRAM) circuits usable as logic gates in a user design for an integrated circuit and reprogrammable in a user mode of the integrated circuit through the hard NOC. The LUTRAM circuits are reconfigurable during the user mode of the integrated circuit by providing a bit through the hard NOC for storage in the one of the LUTRAM circuits.

1. Name of this design product: Graphical user interface for live broadcast and microphone connection of electronic device. 2. Purpose of this design product: for an electronic device. 3. Key points of this design product: lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of design 1. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: Main view of design 1 is the display interface of live broadcast and microphone connection. Users can display the users connected to the microphone by clicking the "Expand microphone position" button. Main view of design 2 is the display interface of live broadcast and microphone connection. Users can close the microphone position of the users connected to the microphone by clicking the "Collapse microphone position" button. Main view of design 3 is the display interface of live broadcast and microphone connection. Users can display the users connected to the microphone by clicking the "X people connected" button. Main view of design 9 is the display interface of live broadcast and microphone connection. Users can display the users connected to the microphone by clicking the long oval button above the square microphone position in the lower right corner of the interface. The interaction methods of design 4, design 5, and design 7 are the same as those of design 1, and the interaction methods of design 6 and design 8 are the same as those of design 3. The gray blocks in the interface are replaceable pictures or videos, and the crosses in this design interface represent text and / or numbers and / or letters and / or symbols.

The invention discloses a building design system based on intelligent optimization, and the system collects user design interaction data through a building design platform, carries out the statistics of design regions, components, time and frequency, and forms user design interaction features. A PCA principal component analysis method is adopted to extract principal components of user interaction features, and a K-means algorithm is utilized to form a plurality of design user groups in a clustering mode. And in a preset time period, evaluating the real-time resource loading capability of the design user group, optimizing the pre-loading scheme in combination with resource loading capability information, and generating a model loading scheme based on intelligent optimization. According to the method, the comprehensive design efficiency of large-scale and different professional design users can be improved, the intelligence and automation of the platform are improved, the design period is shortened, and the collaborative design efficiency is improved.

The invention relates to the technical field of interior design, and discloses an interior design method, terminal equipment and a storage medium. The method comprises the steps of collecting a user design request and spatial parameter data, obtaining a design environment corresponding relation through a configuration server, and determining a design environment where a user design task is located based on the design environment corresponding relation; in the design environment, utilizing a design model generation module to generate an initial design model; and then executing data verification on the initial design model through the data analysis server, optimizing the initial design model in combination with a data verification result and a resource vacancy rate provided by the resource monitoring module to generate a final design model, and finally outputting the final design model to a user terminal. According to the method, the quality of the design model is guaranteed, resource utilization is optimized, the problems of poor demand matching, model verification deficiency, resource waste and the like in traditional design are solved, the accuracy, efficiency and economical efficiency of interior design are improved, and the individuation and standardization demands of modern interior design are met.

The invention relates to a CAD model generation system and method based on natural language modeling. The CAD model generation system comprises a data layer, an application layer and a middle layer. The application layer is used for acquiring request information of a user; the middle layer is used for analyzing the request information through a natural language processing method to obtain parameters corresponding to the design intention of the user; mapping the corresponding parameters of the user design intention to a predefined structure template, and associating a standard; according to the structure template and the constraint condition, generating an automatic script for constructing a two-dimensional / three-dimensional model through a depth model generation method; based on the automatic script, adopting Siemens NX software to generate a CAD (Computer Aided Design) model; the data layer is used for querying corresponding standard terms in a knowledge base according to the association standard; and based on the standard terms, extracting constraint conditions corresponding to the association standards. The method is suitable for rapid modeling and design verification of complex parts in a weapon system.

The application discloses a three-dimensional model fast retrieval method, equipment and medium, and relates to the computer technical field. The method comprises the following steps: in response to receiving a part of a two-dimensional sketch of a three-dimensional model drawn by a user, performing image segmentation on the part of the two-dimensional sketch to obtain a plurality of sub-images; performing mapping processing on each sub-image to obtain an initial feature corresponding to each sub-image, and performing attention calculation on the initial features corresponding to the plurality of sub-images to obtain a plurality of first key features; fusing the plurality of first key features to obtain a second key feature corresponding to the part of the two-dimensional sketch; based on the second key feature, performing similarity matching on a feature database to obtain a plurality of target features, and searching a three-dimensional model set corresponding to the plurality of target features from a three-dimensional model database. In this way, the target three-dimensional model meeting the design intention of the user can be quickly and accurately retrieved according to the part of the sketch of the model drawn by the user, so that the design efficiency and the user experience are significantly improved.

The invention discloses a user design evaluation method and device based on artificial intelligence assistance, and relates to the technical field of intelligent evaluation. The method comprises the following steps: acquiring a historical user design image, and marking and scoring the image to obtain the historical user design image and a score data set; dividing the historical user design image and the score data set into a training set and a test set according to a certain proportion; constructing a user design evaluation model based on deep learning; training the constructed user design evaluation model by using the training set; inputting the test set into the trained user design evaluation model for verification; obtaining a to-be-scored user design image, and inputting the to-be-scored user design image into the verified user design evaluation model for scoring; and storing the scored user design image and the corresponding score for training and updating a user design evaluation model. The art design works of the students can be accurately and quickly scored, the pertinence is high, and the efficiency is high.

The utility model relates to a handle structure and a door body structure. The handle structure comprises a profile component and a handle component, the matching part is connected to the profile part, and a hand buckling part is formed between the profile part and the matching part; the materials used by the profile component and the mating part are different, and / or the coating materials are different, and / or the colors are different. By means of the arrangement, the handle structure is of a split type structure, the sectional material part and the matching part can be made of coating materials such as leather coating or veneer coating, or the sectional material part and the matching part can be made of different paint colors, or the sectional material part and the matching part can be made of metal materials, wood materials and plastic materials. The handle structure is only split into the sectional material part and the matching part, so that the overall split surface of the handle structure is large, the handle structure is suitable for matching of various materials and colors, the overall effect is simple and not disordered, various user design requirements can be met, the decoration attractiveness is improved, and the user experience is improved.

The invention provides an examination rule generation method and system based on a graph database and a large language model, and the method comprises the steps: constructing a target structured prompt based on a preset prompt word and user design demand information; the target structured prompt is input into a review rule generation model, target review rule content corresponding to the user design demand information output by the review rule generation model is obtained, and the review rule generation model is obtained by training a large language model through a sample data set constructed by a graph database; the graph database is constructed based on a multi-source review rule file. According to the invention, the efficiency and accuracy of review rule generation are improved.

The technology described herein allows a sender to initiate generation of a collaborative asset, which may be a video generated by merging videos provided by a group of users. The technology can facilitate the generation and collection of digital assets, such as video, images, and audio recordings from a group of users designed by the sender. The collaborative asset may be associated with a tangible object using a unique identifier located on the tangible object. The collaborative asset may be stored in computer memory on a user-experience server and associated with the unique identifier. When the unique identifier is provided to the user-experience server a second time, the collaborative asset can be retrieved and output to the computing device that provided the unique identifier. Thus, a user can initiate generation of a collaborative asset.

The invention discloses a quick retrieval method and device for a three-dimensional model and a medium, and relates to the technical field of computers. The method comprises the following steps: in response to a received partial two-dimensional sketch of a three-dimensional model drawn by a user, carrying out image segmentation on the partial two-dimensional sketch to obtain a plurality of sub-images; performing mapping processing on each sub-image to obtain an initial feature corresponding to each sub-image, and performing attention calculation on the initial features corresponding to the plurality of sub-images to obtain a plurality of first key features; fusing the plurality of first key features to obtain a second key feature corresponding to a part of the two-dimensional sketch; and based on the second key feature, performing similarity matching on the feature database to obtain a plurality of target features, and searching a three-dimensional model set corresponding to the plurality of target features from the three-dimensional model database. Therefore, the target three-dimensional model conforming to the design intention of the user can be quickly and accurately retrieved according to the model part sketch drawn by the user, so that the design efficiency and the user experience are remarkably improved.

The invention discloses a visual configuration system of a low-code platform for quantum computing programming and a quantum circuit generation method. The visual configuration system comprises a component configuration module and a rendering module. The component configuration module comprises predefined configuration information and is configured to respond to the generated configuration resource file, and the component configuration information is obtained according to the predefined configuration information and the configuration resource file. The rendering module is configured to generate a first target component according to the component configuration information, and the low-code platform can generate a quantum circuit according to the first target component. Thus, the visual configuration system can flexibly design the quantum gate component required by the user through the generated configuration resource file and the predefined configuration information, the design requirement of the user is flexibly met, and the user experience is effectively improved.

The application provides a floating floor slab impact sound insulation performance optimization method, device, equipment and storage medium, keyword extraction is performed on target building space information input by a user through a natural language processing module, semantic similarity matching is performed in a pre-constructed noise source library, a target noise source spectrum corresponding to the target building space and a sound insulation standard limit value are automatically obtained, then a floating floor slab sound insulation performance target is determined based on spectrum analysis, subsequently, floating plate material parameters and elastic cushion layer parameters are substituted into a floating floor slab sound insulation performance prediction model established based on a finite element method, impact sound insulation performance prediction values under candidate material combinations are quantitatively calculated, finally, a multi-objective optimization model is constructed and solved in combination with user design constraint conditions, and an optimal design scheme of the floating floor slab matched with actual requirements of the target building space is output, so that precise matching and global optimal design of the acoustic requirements of the building space and the construction scheme of the floating floor slab are realized.

The invention discloses a Tibetan type cultural creative graph automatic generation method and system based on artificial intelligence, and relates to the field of Tibetan type cultural creative graphs, and the method comprises the steps: carrying out the semantic analysis of a natural language description, and extracting a feature vector and a core keyword of a user intention; constructing a Tibetan culture symbol gene pool; based on the vector similarity, an initial culture symbol set conforming to the design intention of the user is screened out; eliminating symbol combinations with culture conflicts, and recommending symbol combination schemes conforming to culture specifications; extracting the shape feature of each symbol as an invariant constraint, and generating a symbol graph set after shape self-adaptive adjustment; and based on the diffusion model framework, generating a final Tibetan cultural and creative pattern. And outputting a structure report of the current Tibetan cultural and creative pattern according to the generated Tibetan cultural and creative pattern. The method has the advantages that natural language description can be automatically converted into Tibetan cultural and creative patterns conforming to culture specifications and aesthetic requirements, and deep fusion of culture inheritance and intelligent generation is achieved.

The present disclosure relates to a system and method for providing a flowchart-based user interface to a user and generating instruction codes of a microcontroller unit based on an operation process of the microcontroller unit designed by the user. The system for generating the instruction codes of the microcontroller unit according to an embodiment of the present disclosure includes: a memory configured to store at least one instruction; a component storage; a code conversion logic storage; and a processor, wherein the at least one instruction includes instructions for: generating a first flowchart instance based on at least one flowchart component; further receiving a target component and at least one of a property, and a value of the first flowchart instance to generate an operation process; and converting the operation process into an instruction code including an instruction, a register address, and data based on the code conversion logic.

The application discloses a wiring method and device of a programmable device, electronic equipment and a storage medium, and belongs to the field of integrated circuit design. It comprises the following steps: acquiring a wired node and a to-be-wired node in user-designed circuit wiring; judging whether the to-be-wired node is a key wiring node in the user-designed circuit wiring to obtain a node judgment result; acquiring a reverse target node of the to-be-wired node according to the node judgment result, wherein the reverse target node comprises a wiring starting point of the user-designed circuit wiring and a wired node near the to-be-wired node; and reversely executing a wiring algorithm process with the to-be-wired node as a starting point and the reverse target node as an ending point. The application does not need to allocate a wiring path in advance, thereby making subsequent wiring operation more flexible, and can make the wiring speed faster, the wiring time shorter and the user experience better.