20 results about "Design intent" patented technology

The invention relates to the technical field of gift packaging three-dimensional modeling, and discloses a construction method of a gift box packaging design three-dimensional model. The method comprises the following steps: collecting natural language description, a freehand sketch image and a physical material attribute parameter; analyzing a natural language to construct a design intention map, and analyzing a sketch to generate a geometric feature code; performing knowledge alignment fusion on the two to form enhanced design semantic representation; generating an initial three-dimensional design framework by using a generative design algorithm; material parameters are integrated, compatibility simulation test is carried out, parameter self-adaptive adjustment circulation is started according to a feasibility evaluation report, and component parameters are dynamically optimized; and rendering and outputting a final model. Through deep fusion of multi-modal design information and preposed dynamic optimization of physical attributes, the accuracy of design intention expression and the producibility of a three-dimensional model are improved, and automation and intelligentization of a design process are realized.

The invention relates to the technical field of integrated circuit design automation, and discloses an integrated circuit design whole-process collaborative verification and consistency guarantee method, which comprises the following steps of: constructing a unified design data model, and representing design data from function specifications to physical layout by using a multi-level attribute graph structure; establishing a design intention keeping mechanism, and tracking the transmission of the design intention in the hierarchical refinement process through intention semantic annotation, cross-level entity mapping and intention keeping degree evaluation; executing a hybrid verification strategy, combining formalized verification with dynamic simulation, and guiding verification resource allocation through a coverage rate feedback mechanism; performing constraint consistency check, performing constraint comparison at key nodes of the design process, and automatically identifying and positioning constraint conflicts; according to the method, the capture time of design errors can be brought forward by 80%, the number of design iterations is reduced by 40%, and the design quality and efficiency are remarkably improved.

Disclosed in the embodiments of the present application is a cloud service-based design code generation method, the method being applied to a cloud management platform. The method can not only acquire from a configuration interface an explicit design intention input by a user, but also query a knowledge graph for target design knowledge associated with the current explicit design intention of the user so as to capture an implicit design intention of a target design object. Thus, the explicit design intention and the target design knowledge from the knowledge graph can be combined to guide a large language model in efficiently and accurately generating target design code that meets a design requirement of the user, thereby intelligently generating the target design code so as to accurately and efficiently implement a design task on the basis of the target design code to obtain the target design object.

The invention provides a method and system for generating cultural and creative contents based on large model fine tuning, and the method comprises the steps: processing cultural symbols in text description data through employing a text analysis technology according to an initial feature vector, and building a correlation mapping relation between visual features and cultural semantics; obtaining similar design element clusters according to different culture backgrounds through the structured design resource library, and judging design logic consistency in the clusters; according to the design logic consistency judgment result, processing the similar design element cluster by adopting an iterative optimization technology to obtain an optimal design element combination scheme; if semantic conflicts exist in the optimization design element combination scheme, combination parameters are adjusted, and a final adaptive design intention expression form is determined; and through the final adaptive design intention expression form, generating a creative and cultural design content fusing traditional and modern styles, and obtaining an output result with uniqueness.

The invention discloses an agent security execution control method and system, and relates to the technical field of artificial intelligence, and the method comprises the following steps: receiving a natural language input of a user, analyzing a spoken language demand into a structured design intention expression through an intention analysis agent, and obtaining a structured design intention expression; the design intention representation at least comprises a target entity, an operation constraint and an acceptance condition; on the basis of the design intention representation, relevant context information is retrieved from design data and a rule base through a retrieval enhancement agent until the retrieval coverage degree and the key anchor point positioning confidence degree reach preset threshold values; by introducing multi-agent cooperation and a natural language driven normal form, a DFT design process is upgraded from tedious and error-prone manual script writing to an intention-driven automatic closed loop. The system can automatically analyze the spoken requirements of the user, intelligently retrieve the design context and generate an interpretable and rollback execution plan, so that engineers are liberated from underlying commands and primitive operations, and the design efficiency is remarkably improved.

The present application relates to the technical field of gift packaging three-dimensional modeling, and discloses a kind of construction methods of gift box packaging design three-dimensional model.The method includes collecting natural language description, hand-drawing sketch image and physical material attribute parameter;Analysis natural language construction design intent graph, analyze sketch to generate geometry feature code;The knowledge alignment fusion of the two forms enhanced design semantic representation;Initial three-dimensional design framework is generated using generative design algorithm;Integrate material parameters and carry out compatibility simulation test, start parameter self-adaptive adjustment cycle according to feasibility evaluation report, dynamically optimize component parameters;Render output final model.Through the deep fusion of multi-modal design information and the preposition of physical attributes dynamic optimization, the accuracy of design intent expression and the producibility of three-dimensional model are improved, and the automation and intelligentization of design process are realized.

This invention discloses a rapid interactive and verification method for mold structures based on wireframe preview, applied to a computer-aided design system. The method includes: receiving and loading a parametric 3D structural model of the target mold; parsing the 3D structural model, extracting and registering the driving design parameters, and generating a parameter registry; constructing and displaying a lightweight wireframe preview model representing the structural outline based on the parameter values ​​in the parameter registry; adjusting the design parameters, updating the parameter values ​​in the parameter registry in real time, and driving the wireframe preview model to update synchronously; after confirming that the updated wireframe preview model meets the design intent, driving the computer-aided design system to generate the final 3D solid structure based on the final parameter registry. This invention significantly improves the efficiency of mold structure design by providing real-time preview and rapid adjustment interaction during the design process.

The invention relates to the technical field of building information processing, and discloses a building interior design and construction integrated platform based on a BIM technology, and the platform can analyze a semantic design intention label preset in a building information model, and converts the semantic design intention label into a formalized engineering constraint condition; based on the engineering constraint condition and the construction process knowledge graph, generating a final-version construction instruction packet through multi-dimensional simulation rehearsal; in the construction process, the platform collects on-site actual execution data, and compares and analyzes the actual execution data with the plan data in the instruction packet to identify systematic deviation; and finally, according to the identified systematic deviation, the platform updates the construction technology knowledge graph under a man-machine collaborative auditing mechanism. According to the method, a data closed loop from the design intention to the construction practice and then to the core knowledge base is constructed, the technical problems that design and construction are disjointed and the plan performability is low are solved, and self-evolution and continuous optimization of a construction knowledge system are achieved.

This invention provides a controllable intelligent regeneration method for architectural contexts based on the Flux large-scale model ecosystem. The method involves inputting a design model drawing into the ComfyUI interface and reading its dimensions; determining the modeling accuracy of the design model drawing and matching it with the corresponding basic shape control algorithm; inputting an architectural context reference image and generating architectural context prompts; setting a style transfer model sequence and connecting it to a Flux large-scale model-based image generation module to obtain an architectural context rendering image; determining whether the architectural context rendering image conforms to the design intent; if it does, it is directly output; otherwise, precise modification and regeneration of the rendering image are completed through text control; finally, the architectural context rendering image is enlarged and restored to generate a high-resolution architectural context rendering image, which is then output. This invention solves problems such as insufficient intelligence in the image generation process, the need for manually written prompts, reliance on manual selection for modification results, and deficiencies in the quality and content matching of architectural context rendering images.

In various embodiments, a computer-implemented method for generating a design object includes generating a cue within a design space generated by a design exploration application, where the cue has a cue definition including at least a design intent text, and a cue volume, the cue volume occupies a part of the design space and an influence range is applied in the cue volume; executing a trained machine learning (ML) model on the cue to generate the design object; and displaying the design object within the cue volume.

The invention discloses a folk art product aided design system and method, and relates to the technical field of computer aided design, the folk art product aided design system comprises a behavior data acquisition unit for acquiring operation records in a user design process; the design state recognition unit recognizes a design intention state corresponding to the operation; the creative stage division unit divides design stages according to intention state transition; the style venation extraction unit is used for extracting a similar mode of a multi-user graphic element adoption sequence in the creative stable stage to form a style evolution venation diagram; the creative contribution evaluation unit is used for comprehensively designing the intention state, the style evolution venation diagram and the color scheme to adjust the path intersection and calculating the creative contribution degree of the user; and the auxiliary strategy matching unit generates an auxiliary strategy according to the contribution degree and the intention state combination. According to the method, dynamic analysis and accurate assistance of the multi-user collaborative design process are realized.

The application provides a jig scheme generation method, system, device and storage medium, relates to the technical field of artificial intelligence, and fundamentally changes the condition that traditional design seriously depends on manual experience, a process is discrete, and consistency is poor. Through standardization semantic modeling of clamping requirements, the bottleneck that a design intention is not machine-readable is solved. Through deep integration of structure constraint rules and a large model, it is ensured that the generated scheme meets functional requirements and engineering feasibility, so that automation, intelligentization and standardization of the design process are realized, and design efficiency, scheme reliability and knowledge reuse level are significantly improved.

The invention discloses a top-down design recommendation method and system for a three-dimensional model of an engineering machinery product, and the core of the method is to construct an intelligent recommendation framework based on design intention understanding and constraint propagation, and automatically recommend a proper design scheme and assembly configuration by analyzing the top design demand. Firstly, a design knowledge graph in the field of engineering machinery is established, and a function-structure mapping relation is captured; then, a multi-stage constraint modeling technology is adopted, and the dependency relationship among design parameters is defined; on the basis of the current design context, predicting a possible design operation in the next step through a graph neural network and a sequence recommendation algorithm; and finally, in combination with multi-objective optimization, generating specific design recommendation meeting overall design requirements. According to the method, the efficiency and the quality of the top-down design process can be remarkably improved, the design iteration is reduced, and the design consistency is ensured.

This invention relates to the field of integrated circuit manufacturing, and particularly to a shape-aware OPC method, apparatus, device, and storage medium. The shape-aware OPC method provided by this invention acquires design intent data and a layout to be processed; determines sensitive patterns in the layout to be processed based on the design intent data; and performs TOPC processing on the sensitive and non-sensitive patterns using DML partitions of different sizes to obtain TOPC mask correction data; the DML partition size of the sensitive patterns is smaller than that of the non-sensitive patterns. This invention precisely allocates optimized computing power and mask budget to the sensitive patterns that have the greatest impact on performance, avoiding the waste of limited computing resources and mask manufacturing budget on non-sensitive patterns that have a negligible impact on performance. This improves circuit performance indicators without significantly increasing the mask design cycle or slowing down the efficiency of shape-aware OPC.

The application provides an industrial design review method and system based on artificial intelligence, which comprises the following steps: performing design intention semantic analysis on industrial design drawings to generate design intention semantic model data, and forming a unified review semantic framework by constructing a multi-dimensional constraint knowledge graph; generating design elements and constraint correlation mapping data based on the unified review semantic framework, and generating design intention differentiation result data by identifying intentional design features and negligent design defects through design intention differentiation processing; generating optimization scheme evaluation report data based on the design intention differentiation result data and the multi-dimensional constraint knowledge graph, and performing final review decision to obtain final design review result data; and generating industrial design comprehensive review data based on the final design review result data and risk early warning and improvement suggestion generation processing. By constructing a unified review semantic framework, the design intention, manufacturing constraints and user requirements are integrated, and the comprehensiveness and accuracy of the industrial design review are improved.

This invention discloses an engineering design assistance method based on multi-source data fusion, comprising the following steps: Step 1: Obtaining a fragment set; Step 2: Obtaining a conflict development map; Step 3: Converting the conflict development map into a structured input sequence and inputting it into an improved MaskFormer model, constructing a conflict potential field distribution through a cross-source conflict potential field reflection mechanism, and obtaining a conflict structural unit set; Step 4: Determining the adjudication seed; Step 5: Constructing a manifold topological tension field and performing selective freezing; Step 6: Fusion updating of geometric structural fragments to generate candidate design schemes; Step 7: Matching and verifying the candidate design schemes and performance region fragments to obtain an optimized design scheme; Step 8: Performing consistency screening by combining the optimized design scheme and design intent expression fragments, and outputting the engineering design assistance result. This invention combines the improved MaskFormer model with the manifold topological tension field to achieve efficient engineering design assistance.

The application discloses a folk art product auxiliary design system and method, and relates to the technical field of computer-aided design, which comprises a behavior data acquisition unit, an operation record in a user design process is acquired; a design state recognition unit, a design intention state corresponding to the operation is recognized; a creative stage division unit, a design stage is divided according to intention state transition; a style context extraction unit, a similar mode of a multi-user graphic element adoption sequence in a creative stable stage is extracted, and a style evolution context diagram is formed; a creative contribution evaluation unit, a user creative contribution degree is calculated by comprehensively intersecting a design intention state, a style evolution context diagram and a color scheme adjustment path; and an auxiliary strategy matching unit, an auxiliary strategy is generated according to the combination of the contribution degree and the intention state. The application realizes dynamic analysis and accurate assistance on a multi-user collaborative design process.

The invention relates to the technical field of intelligent software prototype automation, and discloses a prototype design system and method based on a large model. The method comprises the steps of receiving demand description of a design task, generating an initial design intention seed and extracting key design features; and reversely mapping the design features back to the demand space, and reconstructing and enhancing the original demand description. And correcting the design intention by utilizing the enhancement demand, generating an upgraded design intention core, and inputting the upgraded design intention core into a pre-trained large model to synthesize a target page code conforming to a production specification end to end. And synchronously and automatically generating a demand specification document strictly bound with the code structure. And performing directional fine tuning on the model based on the output document, and re-triggering the evolutionary game of the initial design intention according to the updated model state. According to the method, the accuracy of prototype design and the adaptive evolution capability of the system are improved through bidirectional collaborative optimization of requirements and design and closed-loop learning evolution of the system.

The invention discloses a three-dimensional parametric design and automatic modeling system and method, and relates to the technical field of computer aided design, the system comprises a parametric constraint analysis module, a design intention inference module, a parametric modeling engine module, a topological optimization module, a variant generation module and a feedback optimization module, according to the method, design constraints are automatically complemented from incomplete input through constraint graph construction and design intention inference, a three-dimensional model capable of being dynamically adjusted is constructed through a parametric modeling engine, and a lightweight design scheme meeting strength constraints is generated through topological optimization. Automatic generation and continuous optimization of the design scheme family are achieved through variant generation and feedback optimization, the efficiency and flexibility of three-dimensional design are remarkably improved, and the method is particularly suitable for industrial product design and building model creation.