240 results about "Industrial design" patented technology

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 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 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 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 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.

The invention relates to the field of industrial design automation, and particularly discloses an AI automatic design system, which comprises an AI intelligent decision-making and product type selection module used for generating an optimal product type selection and layout strategy based on project requirements; the automatic structure calculation and compliance verification module is used for receiving the strategy, automatically calling external software to carry out calculation and compliance verification, and outputting structure compliance data and a bill of material first draft; the three-dimensional parametric modeling and drawing output module is used for receiving the data to drive three-dimensional software to automatically model and output a drawing and outputting an accurate bill of materials; and the one-stop scheme package generation module is used for integrating all the achievements to automatically generate a complete design scheme package. According to the method, the implicit design experience is encoded into the AI algorithm, automatic deep collaboration of the AI system and the multi-source heterogeneous engineering software is achieved, automation, standardization and global optimization of the whole design process are achieved, and the design efficiency and quality and the knowledge asset protection capacity are remarkably improved.

The utility model discloses an anti-blocking magnetic drive pump, and relates to the technical field of industrial design and processing of magnetic drive pumps. The device comprises a magnetic drive pump, the magnetic drive pump is formed by combining a pump body and a motor, a water inlet pipe and a water outlet pipe are arranged on one side of the pump body, an anti-blocking mechanism is arranged in the water inlet pipe, and the anti-blocking mechanism comprises a filter column, a filter plate, a water inlet groove and a water outlet groove; the filter column is movably clamped with the water inlet pipe, the filter plate is fixedly connected into the filter column, the water inlet groove is formed in one side of the filter column, the water outlet groove is formed in the other side of the filter column, and the water inlet groove and the water outlet groove are symmetrically distributed. According to the device, an original screen structure is replaced by the filter column, quick disassembly of the anti-blocking mechanism can be achieved, and due to the fact that the filter plate is inclined, fluid can push impurities towards one side until the impurities enter the dust accumulation tank, collection of the impurities is completed, the filter time of the filter plate is prolonged, the filter plate does not need to be frequently replaced, the maintenance efficiency is improved, and the maintenance cost is reduced. And requirements of users are met.

The utility model relates to an automatic control technology, in particular to a modularized hidden type fan frequency conversion controller structure, which comprises a case main body and an upper cover arranged at the top of the case main body, a variable-frequency driving module is integrally mounted in the case main body, and a man-machine interaction module is mounted outside the variable-frequency driving module; the top of the variable frequency driving module is provided with a fan, and the fan is in communication with the variable frequency driving module and the man-machine interaction module. Technical concepts of variable frequency driving, automation, embedded development, industrial design and the like are integrated. The device can realize slow start and stepless speed regulation of the fan, detect the real-time running state of the fan, and perform comprehensive protection on phase loss, overvoltage, overcurrent, undervoltage, over-temperature, overload and the like of the motor. The device is suitable for fan pumping and discharging, air supplementing systems and other scenes using fans in commercial kitchens, and can be in user-defined linkage with a purifier and a fire fighting system. Operation interfaces and functions can be quickly customized according to user requirements, and personalized customization requirements of customers are met.

The application discloses a generative AI industrial design topology closed-loop optimization method and system, and relates to the technical field of computer-aided design, comprising: obtaining an initial three-dimensional geometric representation of an industrial product and design constraints, and constructing a geometric parameter offset field; in iterative deformation, calculating discrete curvature, deformation energy, time sequence mutation and topology anomaly index, triggering and positioning a topology sensitive area; in the area, performing edge collapse, edge split, local re-meshing, Loop subdivision, constraint Laplace smoothing or SDF local reconstruction, and verifying and repairing the results by Euler characteristic number, genus, boundary ring, connected component and topology anomaly; calling a physically consistent proxy model to predict performance and evaluate confidence, triggering finite element sampling when confidence or safety margin is insufficient, error risk and topology sensitive area overlap, updating the proxy model by using finite element true value increment, and finally completing layered optimization and complete finite element verification.

The invention provides an artificial intelligence-based industrial design method and system, and the method comprises the steps: obtaining an open-source artificial intelligence large model, building a dialogue function with the artificial intelligence large model, carrying out the recording of a 3D design code for each part of a 3D model of an existing product based on 3D design software, building a 3D design code library, and carrying out the verification of the 3D design code library. The 3D design code library serves as a third-party database to be added to an existing database of the artificial intelligence large model, the product design requirement of a user is obtained based on the dialogue function, the artificial intelligence large model automatically generates a 3D design code of the product according to the product design requirement, and the 3D design software automatically generates a 3D model of the product according to the 3D design code; according to the method, the design code of the required product is automatically generated by combining the 3D design code of the existing product 3D model to optimize the database of the artificial intelligence large model, so that the 3D model of the required product is automatically generated, intelligent aided design is realized, the design work is simplified, and the design result is optimized.

This application provides a speaker structure and an electronic device, relating to the field of electronic device technology. The speaker structure includes: a conductive housing with a sound cavity and a sound outlet communicating with the sound cavity; a speaker module disposed within the sound cavity and having a sound channel hole; and a radiating conductor disposed on the speaker module, located on one side of the sound channel hole. The conductive housing and the radiating conductor are electrically connected, with the edge of the conductive housing coupled to the radiating conductor at the sound outlet. The conductive housing and the radiating conductor together constitute an antenna. This speaker structure eliminates the need for additional slots or reserved space on the electronic device to accommodate the antenna, saving internal layout space and adapting to the industrial design of thinner and lighter electronic devices. By integrating the antenna into the speaker of the electronic device, sharing the sound cavity and sound outlet hole with the speaker, the antenna does not obstruct the heat dissipation vents of the electronic device and does not affect its heat dissipation performance.

The utility model relates to the technical field of modular buildings, in particular to an indoor strong and weak current unit integration module of a modular building, which is correspondingly connected with a ceiling, a floor and a wall surface and comprises a mounting plate and an electromechanical integration module, the mounting plate is connected with a ceiling; a pipeline is laid in the ceiling; the electromechanical integration module comprises a decorative plate, a shell, a connection conversion box and a strong and weak electricity box module; the shell is correspondingly connected with a ceiling, a floor and a wall surface; the connection conversion box and the strong and weak electricity box module are correspondingly mounted at the top end and inside the shell; the top end of the connection conversion box is connected with the mounting plate; the decorative plate is detachably connected with the shell, and the shell is isolated from an indoor space by the decorative plate; the pipeline penetrates through the mounting plate and then is connected to the connection conversion box, and the connection conversion box is correspondingly and electrically connected to the strong and weak electricity box module. And by adopting industrial design, the indoor strong and weak current unit and decoration engineering are integrated into a factory for industrial production, so that the assembly quality and efficiency are improved.

Heat exchange apparatuses and methods for hyperbaric cooling fan applications such as computing devices. The apparatus comprises a material with high thermal conductivity and is configured to be overlaid on an internal surface of the housing, such that an internal surface of the apparatus is exposed to the hot air flowing inside the housing, and an external surface of the apparatus occludes at least some of the existing through-holes of the housing. In operation, the apparatus converts the through-holes into passive heat exchanging regions that passively transfer heat from inside the housing to outside the housing, which brings the internal air temperature and junction temperature (Tj) of the heat generating components down. Provided embodiments do not require reworking of the original industrial design (ID) of the housing.

The industrial design sought to be registered is primarily a well plate for laboratory use, covering the front, back, right and left sides and featuring a peripheral ridge structure interrupted by the four corners and the back. 1.1) Front view; 1.2) Back view; 1.3) Right side view; 1.4) Left side view; 1.5) Top view; 1.6) Bottom view; 1.7) Perspective view

This disclosure provides a drawing conversion method, apparatus, electronic device, storage medium, and program product, relating to the field of industrial design, and particularly to the field of engineering drawing processing. The specific implementation scheme is as follows: Parsing the drawing to be converted to identify graphic elements that meet a first preset requirement and text elements that meet a second preset requirement; based on the positional correlation between graphic elements and text elements in the drawing to be identified, identifying a first text element from the text elements that has a candidate association relationship with the graphic elements; matching the semantic features described by the first text element with the graphic features of the graphic elements to identify a second text element from the first text element that has an association relationship with the graphic elements; creating a graph structure with graphic elements as nodes and the connection or inclusion relationships between different graphic elements as edges, and generating node attributes for the corresponding nodes based on the second text element. This method improves the accuracy of the graph structure.

The invention discloses a monitoring and predicting method and system for the progress of an industrial design project, and relates to the technical field of engineering project management.The monitoring and predicting method for the progress of the industrial design project comprises the following steps that S1, parameters are obtained, and stage division is carried out; s2, normalizing the parameters, and establishing a task node index table and a dependency mapping table; s3, classifying the parameters, and extracting design project feature parameters to obtain a design project feature parameter set; s4, establishing a monitoring mapping relation, and performing real-time monitoring to obtain real-time parameters of the industrial design project; s5, a stage evolution trend parameter set is obtained, matching prediction is carried out, and industrial design project progress prediction parameters are obtained; and S6, verifying and outputting the prediction parameters, and dynamically updating the prediction parameters. According to the invention, by introducing the combination of stage division and the task node index table and combining the dependency mapping table, efficient monitoring and accurate prediction of the progress of the industrial design project are realized.

The disclosure relates to an industrial design application that provides a customized user experience. In response to a user request for a design of an industrial system, the industrial design application selects generic base designs from a base design repository. Embodiments include a Generative Artificial Intelligence (GAI) model trained to generate user-customizations of the generic base designs. Once a user receives a customized base design, the user may make modifications to the customized base designs. Finalized designs may be provided to the GAI model for training on common selections made by users of the industrial design application.

The invention discloses an eggshell seat device capable of passively resisting shaking and adjusting angles, and belongs to the field of industrial design and manufacturing of upper-layer facilities of ships. The invention solves the problems that the comfort of passengers is greatly reduced and even symptoms such as dizziness and nausea are caused because the seat is unstable due to the shaking of the ship body in the sailing process of the existing small and medium-sized cruise ship. The seat is connected with the rubber base through the angle adjusting assembly to achieve face angle adjustment of the seat, all-directional position adjustment is achieved by connecting a cross ball cage type rolling universal joint, sensing of shaking is achieved by arranging a force sensing mechanism, passive shaking resistance is achieved by arranging a hydraulic rod device between the corresponding hinged supports, and the safety of the seat is improved. And the seat is kept in a horizontal stable state. Passive anti-shaking and active adjustment of the facing angle of the seat can be achieved in the ship shaking environment, the riding experience of passengers is remarkably improved, discomfort caused by ship body shaking is effectively relieved, and therefore the economical efficiency and comfort of ship operation are enhanced.