399 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 discloses an industrial design automation method based on an artificial intelligence large model and an intelligent agent, relates to the technical field of industrial design, and solves the technical problem that industrial design automation is difficult to realize at present. The method comprises the following steps: automatically matching a large model according to input industrial product related information; extracting a design optimization problem through a problem analysis agent based on a large model, and decomposing the design optimization problem into optimization tasks; a target function or a simulation code is generated through the target quantification agent, and an interface is provided; mapping from intelligent body fitting simulation input to output is built through the agent model, and an interface is provided; packaging the interface through an optimization packaging agent and executing an optimization task; according to the embodiment of the design automation, a hierarchical agent architecture for industrial design automation by utilizing an artificial intelligence large model is obtained through generalization. According to the invention, high automation of industrial design can be realized.

Parts of automobile are shown; the industrial designs show different views of front bumper, rear bumper, bonnet, fender, grille and grille frame, all for vehicle.

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.

The invention relates to the fields of industrial design, constructional engineering, energy and the like, discloses a topological graph structure information processing system based on image recognition, and overcomes the problems of insufficient topological relation restoration, low recognition accuracy, lack of optimization and correction mechanisms, difficulty in editing operation, poor data reusability and the like in the prior art. An efficient, accurate and easy-to-edit solution is provided, powerful support is provided for digital processing, informatization management and data accumulation of drawings, and the system comprises an image recognition result acquisition module, a preliminary topological information analysis module, a line segment detection and duplicate removal module, a graph structure information construction module, an element fitting module and a bending fitting module. The point merging module is used for merging two identified non-coaxial points into one point; and the final graph structure generation module is used for integrating the connection relation between the points formed by the element fitting module and the bending fitting module into a complete graph structure.

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 provides a machining assembly, and relates to the technical field of mechanical tools, the industrial design machining tool comprises a bottom plate, the top of the bottom plate is fixedly connected with a control box, and the top of the control box is slidably connected with two mounting plates; the industrial design machining tool comprises two mounting plates and two clamping and fixing mechanisms, the two clamping and fixing mechanisms are arranged on the two mounting plates correspondingly, and each clamping and fixing mechanism comprises a rotating shaft rod, a circular plate, four fixing rods, a supporting circular plate, two transmission blocks, a bidirectional threaded rod, eight transmission rods and four inner supporting rods. The two mounting plates drive the two circular tube workpieces to move close to each other and fit each other through the two clamping and fixing mechanisms, the fixing operation of the circular tube workpieces is very simple, meanwhile, in the welding working process, the two circular tube workpieces can be driven to rotate at will by rotating the rotating shaft rod, the welding work of the circular tube workpieces can be completed at a time, and the welding efficiency is improved. And the processing efficiency is improved.

The invention discloses a concrete split stone manufacturing construction process and a raw material mixing device thereof, which comprises the following steps in sequence: making upper and lower molds according to the required size of the split stone and the application position, wherein the conjoined mold can be divided into a plurality of forms such as two-piece and four-piece, and the middle reserved groove can be appropriately adjusted according to the requirements of the wave peak size of the split stone, and the block mold is industrially designed; the invention can obtain diversified concrete split stone masonry, which is simple and convenient; since the masonry and decoration are completed in one piece, the construction time is greatly shortened; since the construction is formed once, there is no maintenance and repair cost, the construction cost is extremely low, and it is extremely easy to apply and promote; the raw materials are stirred and crushed to facilitate filtering and screening; the crushed raw materials are efficiently screened and discharged to allow the raw materials retained on the upper layer of the filter net to continue to be crushed; it is convenient to make the materials in the filter holes of the filter net fall off to prevent clogging; it is convenient to install and fix horizontally and vertically, and it is convenient to cooperate with multiple devices for use.

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 belongs to the technical field of near field dynamics, and discloses a method and a system for constructing a convection-reaction-diffusion (ARD) model under a near field dynamics framework. According to the method, a PD-ARD equation suitable for the non-uniform flow condition is firstly provided, and the problem that in the prior art, the ARD problem in a complex flow field is not accurately described is effectively solved. In order to realize more accurate coupling calculation, under a near field dynamics (PD) framework, a PD control equation is adopted to solve a velocity field of fluid, and through coupling of a PD equation of viscous flow and a PD-ARD equation under non-uniform flow, an overall model is formed. The method can accurately simulate the convection-diffusion-reaction problem under the viscous flow condition, is suitable for complex environment modeling of multi-scale and multi-physical field coupling, and is widely applied to the fields of industrial design, environment monitoring, scientific research and the like.

The invention provides an industrial building two-dimensional and three-dimensional collaborative design management system and a three-dimensional task decomposition method. The industrial building two-dimensional and three-dimensional collaborative design management system comprises a project management module, and the project management module comprises a two-dimensional collaborative design module, a three-dimensional collaborative design module and a design task management module. According to the invention, two-dimensional and three-dimensional collaborative design management in the field of industrial building design is realized, data transmission obstacles among common software CAD, REVIT and PDMS of building design and industrial design are broken through, and component-level data circulation is realized in collaborative design, verification and management processes; on the basis of the framework, business requirements of designers and management requirements of managers are expanded and analyzed, a complete set of project quality management system and production management logic serving two-dimensional and three-dimensional design are supplemented and perfected, and a digital management function is realized.

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.

Name of the product to which this industrial design relates: Clip for optical fiber connector. Use of the product to which this industrial design relates: Used to grip ferrules and connect optical fibers. Main design feature of the product to which this industrial design relates: Shape. View or photograph that best shows the main design feature: Figure 1.1. Figure 1.1 is a perspective view showing the front, top, and right side of the design. Figures 1.8 and 1.9 are reference views showing the use of this product and do not form part of the design sought to be registered. 1.1) Perspective view; 1.2) Front view; 1.3) Rear view; 1.4) Top view; 1.5) Bottom view; 1.6) Left side view; 1.7) Right side view; 1.8) Reference view; 1.9) Reference view

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.

The invention discloses a lamp product design method based on AIGC and perceptual engineering. According to the technical scheme, the method is characterized by comprising the steps that S1, perceptual vocabularies and samples are collected and screened through big data; s2, making a perceptual questionnaire based on the perceptual vocabularies and the samples, obtaining filling data of the perceptual questionnaire, and importing the filling data into spss for validity analysis; s3, inputting the perceptual vocabularies and the perceptual samples into a Midjouery tool to generate a corresponding virtual finished product graph; the method has the technical effects that the perceptual requirements of users are systematically analyzed by adopting a perceptual engineering method, and new textures are innovatively developed by utilizing an ALGC-assisted industrial design means so as to meet the market requirements and improve the competitiveness of products.

According to the rotating shaft structure of the shower support arm, the product structure is optimized, the flow is larger, and stress is more stable. 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.

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 an industrial design quality evaluation method and system. The method comprises the steps that enterprise industrial design quality is divided into a first evaluation domain and a second evaluation domain; determining the scale of each evaluation index in the first evaluation domain according to the independent completion degree; determining the scale of each evaluation index in the second evaluation domain according to the stage matching degree; collecting process files of enterprise industrial design, and attaching classification labels to the process files according to the evaluation indexes of the first evaluation domain and the second evaluation domain; analyzing the matching degree between the process file under each classification label and each scale of the corresponding evaluation index, and determining the scale with the high matching degree as a calibration score of each evaluation index; and respectively counting the calibrated total score of the first evaluation domain and the second evaluation domain. According to the method, the industrial design quality of an enterprise can be quantitatively evaluated, so that the current situation that the evaluation is carried out only depending on the subjective impression of an evaluator is avoided; observation points of the evaluation process are defined, a multi-dimensional industrial design quality evaluation system is provided, and the industrial pertinence is high.

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.