316 results about "Industrial design" patented technology

The invention is suitable for the technical field of industrial design, and provides a multi-agent cooperative industrial design method and system for complex engineering, and the method comprises the following steps: constructing a large model agent set for a complex engineering design task; dividing a design task into sub-tasks which can be executed by an intelligent agent based on a task decomposition algorithm of a knowledge graph and an intention recognition mechanism; a Prompt-to-Code enhancement model is constructed, and task planning targets and constraints of multiple agents are converted into CAD modeling or CAE simulation design instructions capable of being directly executed by an industrial design tool through Prompt embedding; constructing a design version evolution tree, and designing a causal reasoning graph structure based on the interactive influence of target features; and inputting an asynchronous task planning strategy, a design instruction and a version evolution tree feedback result into a large model agent for iterative adaptive optimization. And the design efficiency and the scheme quality of a complex engineering design task can be obviously improved.

The invention belongs to the field of vehicle industry design, and discloses an electric bicycle form design method and system, electronic equipment and a storage medium, and the method comprises the steps: mining user emotion vocabularies through online comments, constructing an emotion lexicon in combination with an improved word frequency-inverse document frequency algorithm and a D-S evidence theory, and screening out key perceptual vocabularies; constructing a convolutional long-short-term memory neural network model optimized by a snake swarm algorithm to realize a mapping model between customer sensibility and product morphological characteristics; carrying out subjective and objective comprehensive evaluation on the design scheme in combination with an eye movement experiment and subjective evaluation so as to screen out an optimal design scheme; an optimal scheme is selected and input into a generative AI platform for multi-angle visual rendering, ergonomic modeling and aerodynamics simulation are assisted, and the structural feasibility and performance are verified. The method provides systematic technical support for emotional value improvement and design optimization of industrial products.

An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.

The invention discloses an intelligent auxiliary acquisition method and system for manufacturing equipment design requirements, and belongs to the technical field of industrial design. The method comprises the following steps: establishing a hierarchical relationship of manufacturing equipment design requirements, and further constructing a manufacturing equipment historical design requirement hierarchical relationship database; constructing a design demand intelligent auxiliary acquisition model, and training the design demand intelligent auxiliary acquisition model based on the manufacturing equipment historical design demand hierarchical relationship database; original design demand information of the new manufacturing equipment is collected, the design demand intelligent auxiliary acquisition model is utilized to acquire design demand information, and the design demand information comprises a design demand information hierarchical relationship and labeled abnormal demands; and modifying, confirming and outputting the calculated design demand information. According to the intelligent auxiliary acquisition method and system for the manufacturing equipment design demand, the accuracy and integrity of equipment design demand acquisition are improved, the acquisition efficiency is greatly improved, and the acquisition cost is reduced.

The invention relates to the technical field of data optimization, in particular to an industrial product design process modeling optimization method and system. The method comprises the following steps: acquiring industrial product multi-source heterogeneous data; performing data preprocessing on the industrial product multi-source heterogeneous data, and performing hypergraph construction to obtain industrial design hyperedge associated data; performing hyperbolic space embedding by using industrial design hyperedge associated data, and establishing product line source domain-product target domain feature data; performing multi-modal data modeling by using the product line source domain-product target domain feature data to obtain an industrial product design preliminary model; therefore, by constructing a multi-source data driven closed-loop optimization mechanism oriented to the industrial design process, the problems of data splitting, model feedback lagging and insufficient working condition adaptability in the traditional design process are solved, and the intelligent level and manufacturing adaptability of industrial product design are improved.

The invention discloses a three-dimensional content generation method based on a large model and explicit surface expression, and the method achieves the generation from a high-fidelity text to a three-dimensional model through the fusion of explicit three-dimensional Gaussian splash representation and implicit three-dimensional prior. The core technology comprises the following steps: (1) constructing a differentiable Gaussian splash renderer, integrating camera projection transformation, covariance decomposition, depth ordering mixing and other modules, and supporting gradient back propagation optimization; and (2) proposing an explicit-implicit collaborative optimization framework, combining L1 geometric constraints and VGG-16 perceptual loss and stable diffusion model (SDS) prior constraints, and realizing multi-modal alignment through a mixed loss function. According to the method, the generation efficiency, the detail fidelity and the geometric consistency are remarkably superior to those of an existing method, and compared with a traditional NeRF method, the generation speed is increased by 70-80%, and the geometric consistency error lt is increased; the method is suitable for the fields of virtual reality, industrial design and the like.

The invention discloses a full-variable optimized B-spline geometric distance fitting method, belongs to the field of computer-aided geometric design, and is suitable for solving the problem of high-precision modeling of complex curves in industrial design and precision manufacturing scenes. According to the method, variables are initialized for a set of given data points; constructing a target function of geometric distance fitting, solving update quantities of control points and nodes through a Gauss-Newton algorithm, and normalizing node vectors; approaching projection points of the data points by using first-order approximation to update parameters; and checking a convergence index of alternate iteration to obtain a final B-spline curve. Compared with the prior art, the method has the advantages that the fitting precision is remarkably improved, the problem that in the prior art, a dependent variable coupling relation is complex and global optimization is difficult is solved, and particularly when data points containing sharp features are processed, a B-spline curve with heavy nodes can be automatically generated, geometric features can be better described, and fitting errors are reduced.

A method may include receiving, via a computing system, a request to generate one or more visualizations based on one or more datasets provided by an industrial device within an industrial system. The computing system may be communicatively coupled to the industrial device via a data backplane. The method may also involve accessing a visualization platform system in response to receiving the request, sending design data associated with the one or more visualizations to the visualization platform system, and receiving a visualization project file for execution by the computing system from the visualization platform system. The visualization project file may be generated based on the design data. The method may also include generating the one or more visualizations based on the visualization project file and presenting the one or more visualizations via an electronic display device.

The invention discloses an industrial design-oriented drawing semantic analysis and structured conversion method and system. The method comprises the following steps: acquiring an input image, carrying out different-scale coding on image features through an image coding backbone network, selecting a specific layer to extract a multi-scale feature map, and fusing to generate multi-scale features; inputting the multi-scale features into a geometric primitive detection network and an other element detection network, respectively identifying geometric primitives and non-geometric primitives, and carrying out positioning and classification; analyzing mutual relations between geometric elements and other elements contained in the graph through an element relation graph network, and generating formalized language description based on a matching rule; a Prompt template is constructed, geometric information is supplemented by using a multi-modal large model, the rationality of the supplemented information is verified through a geometric attribute relationship verifier, and complete formalized language description is obtained. According to the method, the industrial drawing image containing the complex constraint relation can be efficiently and accurately converted into machine-readable structured data.

The invention provides an intelligent recommendation method and system for industrial design products and a storage medium, and relates to the technical field of product recommendations, and the method comprises the steps: obtaining voice data of a user, and carrying out the comprehensive analysis to obtain a keyword selection coefficient; selecting keywords in a mode of carrying out threshold comparison on keyword selection coefficients, and searching in an industrial design product library by taking the selected keywords as indexes to obtain a first recommended product set; and analyzing a matching condition between the expected price and the material of the user and the price and the material of the product to obtain a second recommended product set, analyzing user interaction data to obtain an interaction score, and recommending the industrial design product with the maximum interaction score in the second recommended product set to the user. According to the method, through deep demand analysis and research on the matching condition of the demand and the recommendation result, the correlation of the recommendation result and the user satisfaction degree are improved.

The invention belongs to the field of computer vision and industrial design assistance, particularly relates to an industrial drawing similarity detection method based on deep learning, and aims to realize efficient and accurate similarity analysis of industrial drawings. Comprising the following steps: collecting an industrial drawing data set, and carrying out target detection labeling and feature extraction on each drawing; a YOLO model is adopted to detect a target, and a non-maximum suppression method is adopted to remove duplication so as to obtain each visual angle of the part in the drawing and an overall marking frame; recognizing characters in the drawing, and obtaining part names and material information through keyword extraction and domain dictionary filtering; local and global feature vectors are extracted, multi-modal feature alignment is realized through comparative learning, and part semantic representation based on image-text association is constructed. And storing the extracted image and OCR text feature vectors into a Faiss index database, establishing a multi-modal mapping relation of local and global feature vectors and text semantics, extracting the image and text features of a to-be-detected drawing, and outputting a similarity result through similarity retrieval of a vector database.

The invention relates to the technical field of industrial parameter design, in particular to an industrial design system and method. The method comprises the following steps: obtaining a to-be-laid industrial structural member; performing to-be-laid layer curved surface model reconstruction on the to-be-laid layer industrial structural member, and performing surface element discretization processing to generate to-be-laid layer discrete geometric surface element data; according to the discrete geometric surface metadata of the to-be-laid layer, carrying out laying layer direction field identification, and generating laying layer direction field data; according to the layering direction field data, carrying out layering process analogue simulation, solving stress, strain and displacement distribution on each surface element, and obtaining surface element mechanical state data; performing process defect analysis according to the surface element mechanical state data to obtain layering process defect data; and performing intelligent layering process parameter combination based on the layering process defect data so as to realize industrial structural member shell layering design. According to the invention, the intelligent design of the layering process of the complex curved surface industrial structural member is realized.

The invention discloses an industrial design component library management and automatic matching method and system, and relates to the technical field of XXX industrial design, and the method comprises the following steps: obtaining the dimension attribute of a component, and carrying out the fusion modeling of the dimension attribute of the component; obtaining design requirements, extracting keywords according to the design requirements, matching the keywords with semantic tags in the component library, and obtaining semantic similarity based on a cosine similarity algorithm; constructing a matching model according to the semantic similarity in combination with the dimension attributes of the components, and comprehensively evaluating the dimension attributes of the components by using a weighted multi-dimensional data fusion technology to obtain matching degree scores of the components and the design requirements; and comparing the matching degree score with a preset matching threshold value, evaluating an automatic matching effect according to a comparison result, and dynamically updating the attribute weight of the component according to the automatic matching effect. According to the method, the problem of separation of semantic understanding and attribute matching is solved, rapid matching of components and design requirements is realized, the design period is remarkably shortened, and the design efficiency is improved.

The invention discloses an intelligent checking method and system for a manufacturing equipment non-standard part BOM table, and belongs to the technical field of industrial design. The method comprises the steps of collecting a historical BOM table and non-standard part two-dimensional drawing data corresponding to the historical BOM table, and performing image preprocessing and multi-modal labeling on the non-standard part two-dimensional drawing data to obtain a labeling data set; constructing a two-segment field information extraction model, and training the two-segment field information extraction model based on the annotation data set; inputting the non-standard part two-dimensional drawing data of the new project and the name of the field to be extracted into a two-segment field information extraction model, and outputting the corresponding field information of the non-standard part two-dimensional drawing; and comparing and calculating the extracted field information of the two-dimensional drawing of the non-standard part with the field information in the corresponding BOM table, and outputting a check document. According to the checking method and system provided by the invention, automatic extraction and comparison of the field information of the BOM table of the non-standard part are realized, so that the checking efficiency and accuracy of the BOM table are greatly improved.

Disclosed in the present invention are an intelligent measurement and control apparatus and an industrial design application method. The key to the technical solution comprises: construction and application of an AIGC agile industrial design model, a human-computer collaborative design process, construction of the application paradigm of industrial product generation scenarios, model optimization decision based on cognitive analysis, and application case research and verification. The AIGC model, by means of quickly generating and optimizing the design solution, significantly improves the design efficiency and innovativeness. By means of accurate demand analysis and decision-making optimization, the design solution is ensured to be consistent with the expected level of the user, and the user satisfaction is improved. The agile design method and multi-iterative optimization ensure that the design process is efficient and accurate, and the design quality and reliability are improved. The design solution is quickly generated and optimized, such that the product development period is effectively shortened, and the market reaction speed and competitiveness of an enterprise are improved.

The invention relates to the technical field of cloud computing, and particularly discloses an industrial design collaborative optimization system based on cloud computing, a data acquisition module acquires key parameters in an industrial design process in real time, and a data processing module manages mass data by adopting a distributed storage technology and performs normalization processing on the acquired parameters to ensure data comparability; the data analysis module constructs three core index model server state indexes for reflecting the load condition of computing resources, a collaborative efficiency index for evaluating collaborative communication and data synchronization efficiency and a design quality index for quantifying task progress and precision errors, and the state evaluation module judges whether the system has risks or not through dynamic threshold comparison and determines whether the system has risks or not. And a potential risk coefficient is calculated, comprehensive early warning is carried out in combination with a reliability index, and efficient management and risk control of an industrial design cooperation process are realized.

The invention discloses an industrial master conceptual design method and equipment based on a knowledge graph and MBSE, and belongs to the technical field of industrial design. According to the method, the powerful semantic comprehension and generation capability of a large language model is combined with accurate and reliable knowledge of a knowledge graph and a vector database by utilizing RAG, so that deep analysis of complex requirements, generation of high-quality model elements and more intelligent interaction are realized; the SysML modeling tool is used as a final implementation and visualization platform of the model; comprising the following steps: stage 1, collecting and preprocessing industrial host data, constructing a core knowledge graph, constructing a vector knowledge base, and configuring an RAG system; stage 2, generating an initial model, dynamically modifying the demand and intelligently interacting; and stage 3, performing automatic tracing verification and structure and parameter consistency verification. The concept design of the digital prototype of the industrial master can be quickly generated, and the development efficiency of the industrial master is improved.

The invention discloses a multi-mode tactile feedback VR interaction method and system and a storage medium, and relates to the technical field of virtual reality, and the method comprises the steps: 1, virtual object physical attribute modeling; step 2, interaction event detection and contact state layering; step 3, layered progressive multi-mode signal generation; step 4, cross-modal cooperative compensation is carried out; and step 5, tactile feedback signal output: smoothing the comprehensive tactile feedback signal and then outputting the tactile feedback signal to a multi-mode tactile feedback device. The method can be widely applied to various scenes such as VR game entertainment, virtual shopping experience, remote medical training, industrial design review, virtual cultural relic display and the like; a user can truly perceive the material, temperature, weight and surface characteristics of the virtual object in the scenes, and the application range and practical value of the VR technology are remarkably expanded.

The invention relates to the technical field of management systems, and particularly discloses a three-dimensional industrial design material AI intelligent recommendation management system. Comprising a dynamic knowledge graph module, a multi-source perception input module, a neural symbol fusion engine, a situation self-adaptive output module, a self-evolution optimization module, a recommendation rule updating module, a cold start processing module and a multi-target decision module. The neural symbol fusion engine realizes symbol logical reasoning through Transform, the cold start processing module generates a user portrait through gradient embedding and generates virtual user features through cross-map feature propagation, the situation adaptive output module dynamically switches rendering modes according to a design stage, and the self-evolution optimization module performs meta-learning and concept drift detection; through multi-technology fusion and module cooperation, intelligence, precision and high efficiency of three-dimensional industrial design material recommendation are realized, the design efficiency is remarkably improved, and the project landing risk is reduced.

The utility model discloses a rotating shaft structure of a shower support arm, which optimizes the product structure, and is larger in flow and more stable in stress. The rotating shaft structure of the shower support arm comprises a shell and a shaft sleeve, the two sides of the shell are provided with a first rod piece and an opening respectively. A hollow rotating shaft is arranged in the shell, the rotating shaft communicates with the first rod piece, an annular water passing groove is formed in the circumferential surface of the rotating shaft, and a plurality of water passing holes communicating into the rotating shaft are formed in the bottom of the water passing groove; the shaft sleeve is sleeved on the circumferential surface of the rotating shaft in a dynamic sealing manner, and one side of the shaft sleeve is provided with a second rod piece communicated with the water passing groove; the second rod piece penetrates out of the opening of the shell; the axis of the first rod piece and the axis of the second rod piece are both perpendicular to the axis of the rotating shaft, and the perpendicular feet of the axis of the first rod piece and the axis of the second rod piece on the axis of the rotating shaft are the same point. No part is arranged in the rotating shaft, so that the flow is larger; the second rod piece and the first rod piece are located on the same plane all the time, stress is more stable, the appearance is neat and attractive, and the industrial design requirement is met.

The invention relates to the technical field of data processing, in particular to a large-model-driven industrial product design process optimization system and method, and the system comprises a collection module which collects the design basic demands of a user; the first input module inputs the design basic demand into the industrial design large model to obtain an initial design scheme corresponding to the design basic demand; the first acquisition module receives a revision design scheme obtained after modification by a user, and acquires a track modification data packet when the initial design scheme is subjected to modification operation; a second acquisition module performs multi-feature dimension evaluation on the initial design scheme and the revision design scheme so as to acquire main adjustment purpose information of the user; a third acquisition module acquires potential adjustment purpose information of the user according to the track modification data packet; and the second input module inputs the main adjustment purpose information and the potential adjustment purpose information into the industrial design large model so as to continue to adjust the revision design scheme. The accuracy of the design scheme can be improved.

The invention provides a method and a device for acquiring equivalent thermal conductivity of a micro-nano metal interconnection structure, electronic equipment and a storage medium, and relates to the technical field of semiconductor industry. According to the method, physical parameters corresponding to a micro-nano metal interconnection structure are determined according to geometric parameters of the micro-nano metal interconnection structure in a chip design layout; and determining the equivalent heat conductivity of the micro-nano metal interconnection structure according to the physical parameters corresponding to the micro-nano metal interconnection structure, wherein the equivalent heat conductivity of the micro-nano metal interconnection structure is used for representing the heat conduction capability of the micro-nano metal interconnection structure. According to the method, the geometric information of the micro-nano metal interconnection structure can be obtained from the chip design layout, and the physical parameters corresponding to the micro-nano metal interconnection structure are determined according to the geometric parameters, so that the equivalent thermal conductivity of the micro-nano metal interconnection structure is obtained, the prediction precision of the equivalent thermal conductivity is improved, and the prediction efficiency is improved. And integration with an industrial design process is realized.

The invention discloses an industrial design product polishing device with an automatic limiting adjusting mechanism, which comprises a mounting seat, a mounting groove is formed in the mounting seat, a polishing assembly is mounted in the mounting groove, two fixing plates are fixedly connected to the mounting seat, fixing rods are fixedly connected to the two fixing plates, and the fixing rods are fixedly connected to the mounting seat. The two fixing rods are fixedly sleeved with mounting plates, a same connecting plate is fixedly connected between the two mounting plates, and an automatic limiting adjusting mechanism is fixedly connected to the connecting plate. According to the grinding device, the grinding amount does not need to be limited manually, so that automatic and accurate limiting of different parts can be achieved, the grinding precision and operation convenience of the grinding device are effectively improved, sweeps generated by grinding can be cleaned in a centralized mode, the cleaning convenience of the grinding device is improved, and the working efficiency is improved. And the problem that operation of the polishing device is affected by scrap accumulation is avoided.

The invention discloses a dynamic reasoning method and system for industrial design multi-modal constraint verification. The method comprises the steps that an input geometric image and a problem text are converted into formalized language description of the same symbology system through an analyzer; inputting the formalized language description into a symbol solver, and solving the symbolized representation of the geometric problem by introducing a named relationship and a state machine; under the condition that input questions are given, similar questions with question solving theorem guidance are found out, and contents and thinking directions of the similar questions serve as a part of cue words Prompt to participate in construction of the thinking tree; a geometric reasoning normal form of a tree-shaped structure is adopted according to the thinking tree, proposal and evaluation are conducted in combination with a large language model, whether a stopping condition is met or not and whether searching is continued or not are judged through a controller, and the optimal problem solving path and the problem solving process are determined. The method can fully stimulate the capability of a large model in the field of plane geometry problems, effectively fuses geometric information and text logic, and achieves a good question and answer effect.

The application discloses an alloy cushion block for a large walking beam heating furnace and a preparation method thereof, and the preparation method comprises the following steps: S1, determining the melting point of the alloy cushion block based on the atomic penetration depth of an alloy B containing FeO on multiple different alloy A with a melting point higher than that of the alloy B; S2, studying the load-bearing condition of the alloy cushion block to determine the required compressive strength; S3, designing the composition of the alloy cushion block; and S4, carrying out the industrial design of the alloy cushion block and starting smelting. Through reasonable alloy composition and production process design, the application provides a high-temperature heat-resistant alloy cushion block, improves the strength and melting point of the alloy cushion block, enables the alloy cushion block to maintain high strength at high temperature, solves the problem of FeO bonding in a molten state, reduces the phenomenon of heating furnace nodulation, and has universality and is suitable for various casting processes.

The utility model relates to the technical field of industrial design devices, and discloses a machining lathe for industrial design, which comprises a cooling support component, a rotary positioning component is mounted on the inner side of the cooling support component, and a material delivery component is mounted on the outer side of the rotary positioning component. And a clamping and limiting assembly is arranged on the side corresponding to the rotary positioning assembly, an adjusting and spraying assembly is arranged on one side of the clamping and limiting assembly, and the adjusting and spraying assembly and the clamping and limiting assembly are both installed above the cooling support assembly. The material delivery assembly is installed on the device, so that materials in the device can be stabilized through the installed material delivery assembly in the using stage of the device, and the situation that the materials are lost in the conveying process in the machining and conveying process of the materials can be avoided.

The application provides an engineering constraint-based industrial design image intelligent generation method and system, and relates to the technical field of computer vision. The method comprises the following steps: obtaining engineering size parameters, which comprise canvas information defining a canvas size and constraint information of each target component; obtaining a reference image and determining image region information of at least one actual component corresponding to the target component in the reference image; generating a control image containing guide information for indicating the spatial layout of the target component in a to-be-generated image based on the component constraint information and the image region information; and inputting the control image as a spatial constraint condition into a generative model to guide the generative model to generate the to-be-generated image conforming to the engineering size parameters. The application realizes accurate control of the component size, proportion and spatial layout in the generated image by converting the structured engineering size parameters into the control image and guiding the generative model with the control image as the spatial constraint condition, and improves the engineering practical value of the generated image.

The utility model discloses an industrial design personnel uses mechanical drawing device belongs to industrial design technical field, aims at solving the drawing device under prior art mostly is workbench, and the designer places drawing on the workbench and draws, but the table top is relatively simple, and the functional inadequacy is insufficient, and the drawing auxiliary effect of designer is not good. Including processing station, and the processing station is equipped with the tool drawer, and the tool drawer is divided into a plurality of storage areas through the partition plate, the movable drawing support plate is arranged on the processing station top, the horizontal distribution pressure rod is established on the drawing support plate, and the upper surface of processing station is fixedly installed with reference display board, and the surface of reference display board is horizontally provided with inner sliding groove. The industrial design personnel uses mechanical drawing device, and through the setting of reference display board and reference drawing clamping mechanism, the designer can conveniently draw by checking reference drawing, and it is helpful to accurately grasp design size and details, thereby improving the precision of drawing.

The industrial design is a compressor; overall, the compressor adopts a substantially symmetrical shape; viewed from the front and rear sides, three substantial rectangles are present, bottom to which lies one substantial cylinder, and two wheels are located below the cylinder; viewed from the left and right sides, one outermost rectangle and one outermost circle are located at the upper and lower parts respectively; viewed from the top and bottom sides, substantial rectangles are present.

The invention relates to the technical field of industrial robot sensing, in particular to an extensible industrial robot approaching and collision sensing device which comprises a shell, and the shell adopts modular design and can be attached to different mechanical arms; the data processing module is arranged in the inner cavity of the shell and used for processing data of the sensing device; the sensing module comprises a collision sensing module and an approaching and collision sensing module which are modularly designed, the collision sensing module and the approaching and collision sensing module are arranged in an inner cavity of the shell according to requirements, and the collision sensing module and the approaching and collision sensing module are respectively and quickly connected with the data processing module. According to the invention, the position of the sensing device is reasonably distributed through a sensing coverage rate maximization method; according to the safety sensing requirement of the industrial robot, a multi-mode sensing module is designed to provide rich sensing information; through the modular industrial design, it is ensured that the sensing device has extremely high adaptability, and the sensing device can be installed on various types of mechanical arms.