4232 results about "Product design" patented technology

The invention relates to a BOM table generation method based on full life cycle management, computer equipment and a computer readable storage medium, and the method comprises the following steps: S1, generating a client matrix according to a product design document and an engineering material, and obtaining information in the client matrix; the customer matrix is presented in the form of a two-dimensional table, column information in the two-dimensional table represents serial numbers of product parts and / or components of different assembly levels, and row information at least comprises names, numbers, specifications and models of the product parts and / or components and parent component identifiers; s2, generating an in-plant BOM matrix according to the material key information, the in-plant material number, the in-plant inventory status and the supply chain constraint condition, inputting the in-plant BOM matrix into a preset management system to generate an electronic drawing and document database, and establishing a structured D-BOM; s3, comparing the client matrix information obtained in the step S1 with the D-BOM established in the step S2; s4, carrying out adjustment and optimization on the D-BOM; and S5, importing the optimized D-BOM into a client matrix, and generating a final BOM.

1. Name of the product design: Gate (02-G). 2. Purpose of this design product: used for protecting door rails. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention discloses a quality defect root cause tracing method based on linkage of standard data and supply chain data, and relates to the technical field of quality defect tracing, and the method comprises the steps: constructing a standard parameter model according to a product design technology, and constructing a supply chain multi-dimensional process data model according to product production data; performing identification code mapping and time sequence alignment, and establishing a standard-supply chain dynamic linkage model; detecting to obtain product quality defect data, and determining a product quality deviation index and a standard index deviation value; constructing a product defect directed traceability graph; and carrying out root cause defect quantification on the product defect directed traceability graph, generating a defect root cause probability graph, and carrying out root cause visual traceability. The technical problems of inaccurate product quality defect root cause positioning and low decision-making efficiency in the prior art are solved, and the technical effects of realizing the linkage tracing of the quality defect root cause by the standard data and the supply chain data and improving the root cause positioning accuracy and the decision-making efficiency are achieved.

According to the multi-path cooling control method for the non-adjustable flow of the cooling spray box after hot plate rolling, the mode that an annular rail is combined with a trolley is adopted, the trolley bears a sample through a sample bearing table to do annular motion, the annular rail is an oval rail comprising two parallel linear segments and two semicircular segments, and at least one cooling spray box is arranged along the linear segment rail; the cooling area can be infinitely lengthened at any workpiece speed; according to the cooling starting temperature, the water cooling speed, the cooling stopping temperature, the cooling stopping time between the cooling areas and the production line cooling spray box layout of the N cooling areas determined by the experiment, the experiment device is configured according to different spray box opening modes, the cooling experiment is carried out, and spray box opening mode parameters corresponding to the optimal cooling speed of the N cooling areas are obtained; carrying out cooling control after rolling on corresponding sample production; besides, the method is implemented under the condition basically consistent with the actual working condition of the production line, so that the product design output and the production line process control are more accurate and efficient, the product research and development speed can be effectively increased, the process control precision is improved, and the production line trial-manufacturing cost is reduced.

The invention discloses a three-dimensional model design quality inspection method and device, electronic equipment and a medium. The method comprises the steps that a to-be-inspected three-dimensional model is acquired; in response to an inspection starting instruction of a target object, extracting a target model parameter from the three-dimensional model based on a preset inspection item; checking and judging the target model parameters based on checking logic corresponding to the checking items; and integrating an inspection judgment result into an inspection report to obtain a quality inspection result of the three-dimensional model. According to the method, automation, standardization, objectification and high efficiency of three-dimensional model design quality inspection are realized through automatic parameter extraction, logic judgment based on preset rules and automatic result integration reports; the key defects that a traditional manual inspection method is low in efficiency, prone to errors, poor in consistency, difficult to standardize, tedious in report and the like are effectively overcome, powerful technical support is provided for improving product design quality and research and development efficiency, and the method can be widely applied to the technical field of data processing.

The invention relates to the technical field of computer vision, in particular to a product design optimization system and method based on an image model. The method comprises the following steps: obtaining a product image, and carrying out image preprocessing to obtain a to-be-processed product image; performing image enhancement processing based on the to-be-processed product image to obtain a product enhancement image; constructing an image model based on the product enhanced image; detecting product surface scratches based on the product enhanced image to obtain product scratch data; marking a seriously scratched area according to the product scratch data; evaluating the anti-corrosion capability of the coating based on the seriously scratched area; a product anti-corrosion layer covering structure is optimized according to the anti-corrosion capacity of the coating; detecting product stains according to the severely scratched area to obtain product stain data; and speculating the product pollution process flow based on the product stain data. According to the invention, integration of defect identification and process optimization driven by a product image is realized based on a computer vision technology, and the precision and response efficiency of product design optimization are improved.

The invention relates to the technical field of product design, in particular to a household appliance appearance defect optimization product design method based on image discrimination, which comprises the following steps: acquiring a household appliance appearance image, calculating a gradient direction, constructing a distribution matrix, analyzing consistency to generate a defect edge image, extracting high-frequency feature scores to identify defect areas, and clustering point cloud to output defect clusters. According to the method, by calculating the gradient direction numerical value of each pixel point and constructing the gradient direction distribution matrix, the processing capacity of the directivity difference of the household appliance surface texture is effectively improved, the defect point cloud is accurately divided through the density-based noise application spatial clustering algorithm, the defect point cloud is accurately divided, and the defect point cloud is accurately divided. According to the method, the space positioning accuracy of the defect area is improved, the precision of optimization design is ensured, curved surface reconstruction is performed in combination with the least square method, the appearance design of the household appliance is accurately corrected, and the production efficiency and the design quality are optimized.

1. The name of this design product: Track Food Delivery Car (Track Elf). 2. Purpose of this product design: This product design is used as a food delivery vehicle. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention discloses a method for testing the comprehensive performance of an electrically-controlled silicone oil clutch water pump assembly. The method comprises the following steps: (1) installing the electrically-controlled silicone oil clutch water pump assembly to be tested on a test bench; (2) installing a test program in the control and data acquisition system, and inputting test parameters in the test program; (3) driving the tested fan of the electrically controlled silicone oil clutch water pump assembly by adopting controllable load equipment, and simulating the air resistance torque characteristics of the fan at different rotating speeds; and (4) starting the driving unit, controlling the load of the electrically-controlled silicone oil clutch and the working signal of the clutch according to the program, and testing various working conditions of the electrically-controlled silicone oil clutch. According to the method for testing the comprehensive performance of the electric control silicone oil clutch water pump assembly, comprehensive, efficient and accurate performance detection can be carried out on the electric control silicone oil clutch water pump assembly, product problems can be solved at an early stage, the product design is optimized, and the product quality is guaranteed.

The invention provides a product design display system and method based on a virtual reality technology, and belongs to the technical field of virtual reality, and the system comprises a format conversion module which is used for mapping unstructured data into a unified VR scene description language format based on a format conversion engine; the virtual space construction module is used for performing grid simplification on the three-dimensional design model, and constructing a virtual display space based on the global illumination basic path and the reflection and refraction path in combination with a VR scene description language format; the double-list acquisition module is used for generating a prediction feedback operation list for a product according to user requirements, and synchronously acquiring an actual operation track of a user in the virtual display space to generate an actual feedback operation list; and the display module is used for determining visual concern points of the user, performing detailed dynamic generation on the concern areas and performing low rendering on the non-concern areas. Immersive, efficient and customized product design display is realized, and the efficient and personalized interactive experience expectation of the user is met.

1. The name of this design product: white noise machine. 2. Purpose of this product design: used to help sleep and relieve stress. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention provides a rapid design model reconstruction method and system based on parameterized feature decoupling, and relates to the technical field of data processing, and the method comprises the steps: selecting a product template from a parameterized product template library constructed according to a feature decoupling idea; on the basis of the selected product template, a new design scheme is obtained through saving operation; based on the new design scheme, determining a process type selection calculation book through project requirements, inputting main body parameters of the design scheme according to the process type selection calculation book, and storing the main body parameters to obtain a parameterized design scheme; on the basis of a parameterized design scheme, parameters of key parts are sequentially input and stored according to predefined part types in a product template, and complete parameter configuration is obtained. Normalization and standardization of product design are achieved, and finally the purposes of shortening the development period and reducing the product cost are achieved.

The invention relates to the field of artificial intelligence, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a digital life cycle management method, device and equipment of a product and a medium, and the method comprises the steps: collecting product associated data of different dimensions, carrying out the demand integration analysis, and generating product demand information; inputting the product demand information into a generative adversarial network for product scheme generation processing to obtain a product design scheme; performing semantic analysis on the product design scheme to generate corresponding standard product information; performing feature matching on the standard product information and different customer groups, determining a target product of each customer group and pushing marketing information; and when a purchase request is received, performing pricing evaluation according to request customer information and request product information in the purchase request, and returning a dynamic pricing result to the customer. The full life cycle management from demand to sales is realized by processing the multi-dimensional product associated data, and the life cycle management efficiency of the product is improved.

The invention relates to the technical field of intelligent manufacturing and digital twinning, and discloses an embossed plate production line virtual debugging system based on digital twinning. The system comprises a raw material data acquisition module, a digital twin construction module, an initial virtual debugging module, a physical world trial production module, a production quality analysis module, a deviation analysis module, a compensation adjustment module and a system self-optimization module. The main debugging and optimization work is completed in the virtual space, and a large amount of raw materials, energy and machine hours are saved; a system error between a theoretical model and physical reality can be effectively counteracted through the established compensation mapping model F; the period from product design to stable production is greatly shortened through virtual debugging; the compensation model can be updated online, so that the whole system is always kept near the optimal production state; data and models generated in the debugging and optimizing process are converted into core knowledge assets of an enterprise, and digital inheritance of knowledge is achieved.

The invention discloses a part flexible dynamic production optimization method and device based on a low-carbon target, and relates to the field of intelligent machining. The method comprises the following steps: firstly, aiming at an autonomous production station process and an outsourcing production station process of part production, constructing a multi-objective optimized Petri net model; secondly, respectively calculating the production cost, the carbon emission and the production cycle of each path in the Petri network model based on the decision variable group; and finally, performing multi-objective optimization through a marine predator algorithm according to the priorities of the three objectives of the production cost, the carbon emission and the production cycle. On the basis of a traditional part production and manufacturing organization mode, multiple targets such as the product production cycle, the production cost and the carbon emission in the production process are considered, a part flexible dynamic production organization optimization model is constructed, and dynamic flexible distribution of autonomous production and outsourcing production is achieved. The carbon emission in the production process can be estimated in the product design stage, and effective measures are taken to reduce the carbon emission when production tasks are distributed.

The invention discloses a new energy vehicle modeling design method and system, electronic equipment and a storage medium, and belongs to the technical field of vehicle industry design, and the method comprises the steps: carrying out the weight calculation and sorting of user perceptual vocabularies obtained through an evaluation construction map based on an interval type 2 trapezoidal fuzzy Kano model, so as to recognize key perceptual demands; establishing a nonlinear mapping relation between the key perceptual vocabularies and the form design characteristics of the new energy automobile based on a limit gradient lifting model optimized by a He-Marx optimization algorithm; predicting and generating an optimal morphological feature combination with the highest perceptual evaluation value by using the mapping relation; and performing subjective and objective comprehensive evaluation on the generated design scheme in combination with an eye movement tracking technology and a discrete information data fluctuation weighting method, and screening out a final design scheme. According to the method, subjective and fuzzy perceptual requirements of the user can be accurately quantified and sorted, a nonlinear mapping relation between the perceptual requirements of the user and specific product design characteristics is established, and the modeling design efficiency of the new energy automobile is improved.

The invention provides a read-write data processing method and system based on chip particle interconnection interface address allocation. The method comprises the following steps: mapping a core particle interconnection structure formed by interconnection of a plurality of core particles into a directed graph; determining data streams among a plurality of core particles according to chip product design requirements, and simplifying the directed graph into sub-graphs based on the data streams; allocating an address to each interconnection interface controller from a root node of the sub-graph; and each interconnection interface controller identifies whether the received read-write request is forwarded to the equipment of the current bus or routed to other interconnection interface controllers according to the allocated address. By utilizing the method and the system, chip framework designers can determine the number and the direction of accessing other devices by the main device of each subsystem according to actual product development requirements, so that the degree of freedom of product design is greatly improved, and the data processing efficiency of products is greatly improved.

A method for training a machine learning model using enhanced multilayer direct disassembly networks (MDDNs). The method includes converting MDDNs into knowledge graphs and using them to train a generative and a discriminator component. The generative component produces synthetic disassembly structures, which are evaluated by the discriminator. Feedback from the discriminator is used to refine the generative model, improving the accuracy of disassembly network modeling.

To provide a method, a device, a system, and an article for utilizing an artificial intelligence (AI)-based model to update a product design on the basis of an execution result of a generated verification code.SOLUTION: A device including a programmable circuit instantiates: generating, using a first trained artificial intelligence (AI)-based model, on the basis of an input design, a verification code; performing the verification code to generate a verifiability score for the input design; and adjusting, using a second trained AI-based model, on the basis of the verifiability score, the input design.SELECTED DRAWING: Figure 7

1. The name of the design product: air cushion comb (relaxing massage). 2. The use of the design product: the product design is used for combing hair and massaging head, neck and human body acupoints. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

1. The name of this design product: Portable Intelligent Stress Analyzer. 2. Purpose of this product design: This product design is used to detect the stress of products such as automobile side glass, skylight glass, and building curtain walls. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

1. Name of the product of this design: Hearing Aid (FT‑18). 2. Purpose of this product design: This product design is used to compensate for the hearing loss of patients with air-conductive hearing loss. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

1. Name of this design product: steering wheel. 2. Purpose of this product design: This product is used to control the direction of vehicle driving. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

1. Name of the product in this design: Filter with bracket (HL-67). 2. Purpose of this product design: It is used for filtering water and can also support and fix the shower head. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. The name of this design product: Gravity energy storage generator (slow-speed full external frame structure). 2. Purpose of this product design: This product design is used to provide power support for the transformation of coal-fired power generation and the upgrading and transformation of hydropower stations; it can also be used as a gravity circulation engine. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention relates to a cultural and creative product design display method and system based on augmented reality, and the method comprises the steps: obtaining design drawings of cultural and creative products, determining the projection relation between the design drawings according to the projection relation of the design drawings, and generating a three-dimensional projection model of the cultural and creative products for displaying the cultural and creative products in a display region; in the process of user-oriented display, the visual angle of the user is used as a rendering target of the three-dimensional projection model, so that the three-dimensional projection model is rendered only within the visual angle of the user. The immersive cultural and creative product display experience is provided for the user, the three-dimensional projection model of the cultural and creative product can be viewed from any angle, and the cognition and interest of the user on the product are greatly improved.

1. The name of this design product: Handheld fan. 2. Purpose of this product design: This product design is used for cooling by blowing air. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 Stereoscopic Drawing 1. 5. Designate Design 1 as the base design.

The invention relates to the technical field of artificial intelligence, and discloses an intelligent product life cycle management system and method based on a large model, a data layer is used for receiving multi-modal heterogeneous data input of different stages of a product full life cycle and is connected with a domain knowledge base; the model layer comprises a basic model and a task model, wherein the basic model is formed by fusing a large language model subjected to efficient parameter fine adjustment with a visual Transform hybrid architecture, and the task model is supported and driven by the basic model to run, and the model layer outputs a result based on the data layer; the data analysis module is used for analyzing heterogeneous data, constructing a knowledge graph for cross-source data intelligent retrieval and reasoning, and performing user demand analysis, semantic intelligent material classification, BOM full-life-cycle management, demand-driven optimization product design, supply chain risk prediction, dynamic process response and quality control and knowledge precipitation; and the application layer outputs a result based on the task model, and carries out real-time collaboration and key information visualization. According to the invention, automatic, intelligent and collaborative management of product life cycles of research, development and manufacturing enterprises is realized.

1. The name of this design product: Cold compress handheld fan (N36). 2. Purpose of this product design: This product design is used to dissipate heat and cool the human body. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.