95 results about "User design" patented technology

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.

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 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.

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 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 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 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.

The invention provides a method and a device for acquiring parameter states of equipment elements of a motor train unit, and relates to the technical field of rail transit industrial control. The method comprises the steps of generating a configuration file in response to an interface editing operation action triggered by a user; generating an interface file capable of representing a control structure, layout and an appearance style according to the configuration file; and updating a control display state in the interface file according to the real-time change information of the parameter data of the equipment element of the motor train unit by utilizing a pre-established communication connection relationship between the parameter of the equipment element of the motor train unit and the control. The device executes the method. According to the method and the device for acquiring the parameter state of the equipment element of the motor train unit provided by the embodiment of the invention, compiling of a large number of codes can be avoided through the configuration file, and personalized demand design of a user can be autonomously and flexibly realized by automatically generating the interface file capable of representing the structure, layout and appearance style of the control; and the parameter state of the equipment element of the motor train unit can be displayed efficiently and visually.

The invention discloses an AI instruction structured design method and system based on a 5W3H framework and a storage medium, belongs to the technical field of artificial intelligence, and particularly relates to an AI instruction generation technology. The method comprises the following steps: receiving preliminary information input by a user based on a 5W3H framework through a user interface; calling at least one preset AI model, enhancing or expanding the initial information input by the user, and generating more accurate element content; combining all dimension information directly input by a user or subjected to AI enhancement into a structured AI instruction according to a preset rule; and outputting the structured AI instruction for a user to use. By introducing the structured 5W3H framework and an optional AI auxiliary enhancement mechanism, the threshold of designing a high-quality AI instruction by a user can be remarkably reduced, the accuracy and efficiency of AI generation content are improved, and the interactive experience of the user and the AI is improved.

The invention relates to a dynamic form data processing and management method and system, and the method comprises the steps: adding an automatic script in a dynamic form created based on a Json data structure, enabling the automatic script to process the data of the dynamic form according to the demands of a user, and feeding back a processing result to the user in real time; designing an executor for executing the automatic script based on user requirements; the executor executes the automated script based on user requirements, and the executor runs on the JavaScript. The method and the system meet the requirements of automation, flexibility and the like when the dynamic form is used.

The invention provides an automatic task flow processing method and device.The method comprises the steps that dragging operation and parameter configuration of a user on a preset component in a display interface are obtained, and a graphical processing flow is generated according to the dragging operation and parameter configuration on the preset component; performing logic conversion on the graphical processing flow to obtain an executable script; performing user design intention prediction on the generated executable script, and generating an optimization suggestion for the executable script to obtain a general task flow; analyzing the general task flow according to the scene identifier in the general task flow so as to convert the general task flow into a task format required by an execution system corresponding to the target scene; and dynamically allocating and executing the task according to the task format required by the execution system corresponding to the target scene based on the priority and the resource load. Through the scheme, the technical effects of improving the capability of unstructured data processing and dynamic decision making and realizing rapid adaptation of low-code development and multi-scene requirements are achieved.

The present invention discloses a block cipher design and automated security assessment auxiliary system, including a front-end and a back-end. The front-end is designed based on the RESTful architecture, including a user interface, a FastAPI and a verification module; the back-end includes a component function system, a solver call module, an STP solver and a data parsing module. The method of the present invention receives the basic data and round function description passed in by the user at the front-end, uses the parsing method to link the basic description of the user-defined encryption algorithm with each module, uses the background script file to automatically generate the CVC language file, and uses the STP solver to complete the automatic search and modular implementation of different attack modes; it realizes the security assessment of the encryption algorithm designed by the user and returns the assessment result report. At present, there is no automated analysis tool that can both effectively analyze the block encryption algorithm and reduce the ability requirements for the user. The present invention fills this gap.

A method for integrated circuit design with delay verification includes storing configuration files of a slew rate machine learning (ML) model, a signal line delay ML model, and a cell delay ML model. A user design is received, slew rate feature values, signal line delay feature values, and cell delay feature values are extracted from the user design, the configuration files are loaded to form inference cores, and operations of the slew rate inference core are performed to calculate predicted slew rate values sent to a ML design tool. Operations of the signal line delay inference core are performed to calculate predicted signal line delay values sent to the ML design tool. Operations of the cell delay inference core are performed to generate predicted cell delay values sent to the ML design tool. The user design is iterated until a user design is obtained that has no timing violations.

The invention relates to the technical field of artificial intelligence design, and discloses a gift personalized customization method and system based on multi-mode AIGC. The method comprises the following steps: acquiring multi-modal input information such as text description, reference images, style labels and gift purpose categories provided by a user, and performing dynamic sampling optimization on the acquisition process; performing joint coding on multi-modal input information by using a multi-modal encoder to generate multi-modal feature embedding, and analyzing a user design intention vector through an intention decoder; based on the user design intention vector, using a diffusion model to iteratively denoise to generate a gift design first draft image, and adjusting the diversity of the generation process through a condition control network; performing local detail reconstruction on the gift design first draft image by applying a content perception mechanism, and outputting an optimized gift design image; and converting the optimized gift design image into an editable design template, and integrating an augmented reality engine to carry out multi-angle interactive preview.

Disclosed herein are novel personal pop-up pods designed for a single user. In one embodiment, a personal pop-up pod can provide a user with privacy and / or protection from the surrounding environment. The personal pop-up pods can be designed such that a user can remain mobile, i.e., able to move from one location to another while using a personal pop-up pod. The personal pop-up pods can be designed such that a user can selectively gain access to the environment surrounding the pop-up pod by opening windows and other points of access. The personal pop-up pods can protect the user form a variety of conditions surrounding the personal pop-up pods such as, for example, rain, snow, wind, low temperatures, and other such climate related elements or communicable diseases and other such health risks.

The invention discloses a panel interchangeability design method and device based on dimension chain statistics. The method comprises the following steps: determining closed ring design parameters of a to-be-exchanged panel and a corresponding adjacent panel, and a plurality of composition ring tolerance parameters; constructing a panel interchangeability judgment model according to the closed ring design parameters and the plurality of component ring tolerance parameters; according to a judgment result output by the panel interchangeability judgment model, whether the current tolerance configuration meets the interchangeability assembly clearance requirement or not is determined; and if not, generating a design adjustment suggestion according to a judgment result. According to the method, the dimension chain calculation of the panel is synthesized, the panel interchangeability judgment model is constructed according to the closed ring design parameters and the component ring tolerance parameters determined by the user during design, the model compares the closed ring obtained by the component ring with the input closed ring, the feasibility of panel interchangeability is determined or an adjustment suggestion is given, and the interchangeability of the panel is improved. The tolerance coordination between the interchanging part and the reference part can be quickly completed, and the interchangeability coordination problem of panel type components is optimized.

The disclosure relates to systems and methods of producing cuts of meat analog. Specifically, the disclosure relates to computerized systems and methods for systematically depositing a user-designed a muscle analog filament and a fat analog filament in a layer-by-layer forming a shaped log with internal marbling that is sliced to form a meat-analog cut.

The FPGA prototype verification platform of the verifiable EMMC user interface of the application, by introducing the testcase module to output the user test instruction data corresponding to the same test operation of the EMMC chip connected with the user design interface to the EMMC chip, so as to determine whether the user design interface is correctly connected to the hardware link in the external EMMC chip through the FPGA prototype verification platform, and the problem positioning process is simplified.

The application provides an intelligent building design method and system based on an AI model, an electronic device and a medium. The method comprises: acquiring a standard database of building design; the standard database comprises a standard library meeting building design specifications; utilizing an AI model to perform data matching according to user design requirements and the standard database to obtain basic data meeting the user design requirements; the AI model performs scheme design based on preset design rules and the basic data to obtain a corresponding three-dimensional design drawing as a preliminary design scheme; the AI model optimizes the preliminary design scheme according to user feedback data to obtain an optimized design scheme; and the user feedback data is feedback data of the user on the preliminary design scheme. The application can significantly improve design efficiency and design scheme quality, reduce design cost, and ensure the quality of the design scheme through the intelligent optimization function of the AI model.

The application belongs to the technical field of computer-aided design, and provides a spinning equipment design auxiliary method and system based on model cooperation. The method comprises the following steps: a cooperative design system is constructed, a large language model receives user design requirements, task decomposition is performed and a corresponding professional agent model is called to execute a design subtask, and each professional agent model feeds back simulation calculation results to a closed-loop feedback engine; the closed-loop feedback engine analyzes the feedback results of each professional agent model, and generates an attention prompt signal pointing to potential design conflicts or optimization bottlenecks based on cross-disciplinary parameter coupling relationships; the large language model performs multidisciplinary coupling analysis by using the attention prompt signal, focuses on key parameters and key disciplines pointed by the attention prompt signal, dynamically adjusts task planning and design parameters, and drives related professional agent models to perform directional iterative optimization. The application can effectively avoid blind iteration problems, and greatly improves the convergence speed and scheme quality of design.