4707 results about "Product design" patented technology

The invention discloses a product collaborative design management method and system based on data driving, and relates to the technical field of product design management, and the method comprises the steps: constructing a double-flow heterogeneous quantitative collection network; establishing an incidence matrix and calculating dynamic coupling strength among the parameters; designing a recursive deep belief network based on the incidence matrix and the dynamic coupling strength, encoding product structure parameters and design process data into a probability graph model, and constructing a design knowledge base; dynamically distributing the design rules in the design knowledge base by adopting a swarm intelligent optimization algorithm, generating a collaborative decision-making unit, and establishing a constraint propagation link; and generating a multi-target collaborative optimization scheme group, and screening an optimal scheme group based on Pareto frontier. According to the invention, omnibearing acquisition of product structure parameters and design flow data is realized through the double-flow heterogeneous quantitative acquisition network, and the data integrity is improved.

The subject matter herein provides a method of product concept modification, the method comprising: receiving a product concept; identifying factors from on an attitudinal data asset in relation to the received product concept; providing the product concept and the factors as an input to generative AI to produce a modified product concept. The subject matter also relates to a method and system for automated manufacture in which the generated or modified concept is provided to a manufacturing facility or function. The subject matter also relates to products produced in this manner.

The invention relates to the technical field of artificial intelligence, in particular to an AI-based solid waste material high-added-value product design method and system. The method comprises the following steps: collecting physical property data of the solid waste aggregate; generating an aggregate grading scheme according to the physical performance data of the solid waste aggregate to obtain aggregate grading scheme data; acquiring historical aggregate grading scheme data, and performing adversarial training according to the aggregate grading scheme data and the historical aggregate grading scheme data to obtain an aggregate grading scheme adversarial model; and performing target grading optimization according to the aggregate grading scheme confrontation model to obtain aggregate grading scheme optimization data. According to the method, efficient and accurate intelligent grading optimization of the solid waste aggregate is realized, the calculation efficiency, the optimization precision and the engineering adaptability are improved, and high-added-value utilization of solid waste resources is promoted.

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 provides a product design generation method, system and device based on a knowledge graph and a text graph model and a medium, and the method comprises the steps: receiving an object input by a user, and converting the input object into a root node of a to-be-constructed knowledge graph; constructing a knowledge graph based on the root node; extracting attribute values of leaf nodes in the knowledge graph, and expanding the attribute values through a large language model to generate image generation cue words; and generating a design corresponding to the object through a text graph model based on the image generation cue word. Through deep combination of the knowledge graph and the text graph model, the problem that a traditional AI generation method only depends on a single cue word and lacks systematic creative expansion capability is solved, and the design generation process is more hierarchical, logical and controllable. Automatic creative divergence is supported, high-quality and controllable cue words are dynamically generated in combination with a knowledge graph, a user is supported to automatically generate new design schemes at different levels, and inspiration exploration is more efficient.

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.

The invention provides a business arrangement scheme design and execution method and system and a storage medium, and relates to the technical field of software engineering product design and development, and the method comprises the steps: determining a plurality of pieces of annotation information of a business demand in a historical process according to the business demand; training according to the annotation information through an AI large model to generate a plurality of process nodes; performing refining processing on the process nodes to generate a business process; decoupling the business process through a self-research engine to obtain a business arrangement scheme corresponding to the business process; and executing the service according to the service arrangement scheme. According to the invention, an efficient, flexible and extensible solution is provided for business arrangement through the application of the AI model and the self-developed engine, and a better effect can be realized in various business scenes.

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.

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 relates to a modular commutation type converter operation test system, which comprises an energy complementing device, a soft start circuit, a load reactor, a sampling device and a centralized control device, and is characterized in that the energy complementing device comprises a plurality of direct current output ends, and each direct current output end is correspondingly connected with a test object switch capacitor module, so that energy complementing is carried out on each test object switch capacitor module independently. Under the control of the centralized control device, the energy complementing device is combined with the soft start circuit, so that the test object switch capacitor module and the test object H-bridge valve string are subjected to soft start charging operation, various different working conditions of the modular commutation type converter can be simulated, and the operation test of the modular commutation type converter can be realized according to set test parameters and operation test parameters. Through the scheme, the twin-dragging experiment of the test object switch capacitor module and the test object H-bridge valve string in the modular reversing converter can be realized, so that the blank of the MCC operation test platform is filled, and the product design capability and quality of the MCC are improved.

The invention relates to the field of computer-aided engineering. The method comprises the following steps: firstly, identifying a cross section of a three-dimensional model of an extraction piece; secondly, grouping all edges in the cross section of the three-dimensional model of the extracted part according to a parallel or approximately parallel standard of the edges, so as to obtain a plurality of paired edge groups corresponding to all the edges in the cross section of the three-dimensional model of the extracted part; searching a matching surface of each edge in the plurality of matching edge groups; and finally, based on the plurality of pairing edge groups and the pairing surface of each edge in the plurality of pairing edge groups, obtaining the middle surface of the three-dimensional model of the extraction piece. According to the method, the edges in the cross section of the three-dimensional model of the extraction piece are grouped based on parallelism, and the non-manifold structure of the three-dimensional model of the extraction piece can be systematically analyzed and reconstructed, so that the non-manifold structure becomes a manifold structure which is easier to process. According to the process, the mid-plane quality of the three-dimensional model of the extraction piece is improved, and the accuracy and reliability of product design and simulation based on the mid-planes are further improved.

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 discloses a PCB device layout method based on a Polar mode, and the method comprises the steps: determining layout parameters: determining the layout parameters of a device according to customer demands and product design requirements; the paired devices are used as a whole, and the layout distance between the paired devices is set according to the layout parameters; creating a Polar layout template: creating a Polar layout template on a PCB (Printed Circuit Board) based on the layout parameters in PCB design software; device layout: placing the processed paired devices on the Polar layout template, and adjusting the rotation angle of each pair of devices; and generating a layout file: after the layout is completed, generating a final layout file. According to the invention, the layout of the devices can be rapidly realized, and compared with a traditional mode of manually placing and adjusting the devices one by one, the layout time is greatly saved, and the working efficiency is 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.

The invention provides a carbon ring sealing life test device and method, and the device comprises a gas supply assembly, an air pressure stabilizing assembly, a gas drying assembly, a gas regulation and control assembly, a fixed bearing assembly, a movable matching assembly, a power driving assembly, and a sealing measurement assembly. The test device integrates a plurality of components such as gas supply, stable air pressure, gas drying, gas regulation and control, fixed bearing, movable matching and connection, power driving and rotation, sealing measurement and the like to form a complete test system, so that the test process is smoother, the uncertainty and errors in the test are reduced, the sealing performance of the carbon ring can be tested, and the test efficiency is improved. Different working conditions can be simulated, so that the sealing performance and the service life of the carbon ring under different conditions can be comprehensively evaluated, the performance characteristics of the carbon ring can be known more accurately, powerful support is provided for design and improvement of products, and by adjusting parameters and configuration of each component, the sealing performance and the service life of the carbon ring can be accurately evaluated. The sealing performance and the service life of different carbon rings can be accurately tested.

The invention relates to a current sampling circuit which comprises a sampling module which is connected with a load in series and used for generating circuit voltage and outputting a voltage value, an amplifying module which is connected with the sampling module in series and used for amplifying the output voltage of the sampling module, and a control module. And the control module is used for collecting the sampling module output voltage amplified by the amplification module after sampling is started, and controlling a collection gear used by the sampling module according to an output voltage analysis result. The requirement for wide-range current sampling under high voltage can be met, the relay can be controlled through data collected by the MCU, self-adaption among current collection of seven gears is achieved, the method is suitable for most of scenes, the extremely high collection precision of 0.5% or below can be achieved for each gear, the cost of devices used in the method is extremely low, and the method is suitable for large-scale popularization and application. The method is suitable for product design with high cost requirements.

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 discloses an aesthetic preference-based intelligent product aesthetics evaluation method. The method comprises the steps of constructing an intelligent product aesthetics evaluation system with first-level and second-level evaluation indexes; secondly, collecting scoring data of first-level indexes and consumer preferences, and constructing intelligent product consumer aesthetic preference linear regression; collecting consumer aesthetic form scores, establishing an intelligent product aesthetic form evaluation data set, and training a consumer general aesthetic form evaluation and prediction model; training is adjusted on the basis of the model to obtain a personalized aesthetic form evaluation and prediction model for a specific consumer group; and evaluating the prediction score, the artificially input aesthetic experience and the aesthetic culture score based on the personalized aesthetic form to obtain a final consumer aesthetic preference score. According to the method, semi-automatic intelligent evaluation of the intelligent product is realized, the screening and optimization efficiency of the design scheme is improved, and meanwhile, the preference degree of the target consumer group for the intelligent product design scheme can be accurately analyzed.

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.

The invention relates to the technical field of factory collaborative manufacturing management, and discloses an AI-based intelligent factory collaborative manufacturing management method and system, and the system comprises a collaborative manufacturing product information acquisition module, a collaborative manufacturing product process evaluation module, and a collaborative manufacturing product process simulation module. According to product production process productivity requirement text information, in combination with an intelligent search algorithm and target cost product production design process text information, a product process design productivity end accurately identifies product design process information; the product manufacturing process information is efficiently identified based on the production efficiency technical requirements in the product process design; product production process information is comprehensively and intelligently designed based on technical requirements, process design and manufacturing cost and process design productivity of products, and intelligence and quality of factory collaborative manufacturing management are improved.

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 discloses a locking mechanism, a parking brake locking device and a vehicle, the locking mechanism comprises an electromagnet shell, a push rod shaft, a static iron core, a movable iron core and an electromagnet coil winding, the static iron core and the movable iron core are arranged in the electromagnet shell, the electromagnet coil winding is arranged around the iron cores, and the push rod shaft is of a telescopic integral rod shaft structure connected with the movable iron core; and a locking part which is matched with a locking groove in the transmission gear for locking and unlocking is formed at the end part of the transmission gear. The push rod shaft is of the integrated shaft structure integrated with the locking part, the risk of the connection strength of the locking part structure and the push rod is eliminated through the integrated structure, and the number of parts is reduced. And an anti-rotation structure is integrated with the push rod and the static iron core, so that the functions of parts are realized, an additional anti-rotation structure can be omitted, the product design is more compact, the assembly is simple and convenient, and the weight and the manufacturing cost are reduced.