5723 results about "Product design" patented technology

The invention belongs to the technical field of static sealing elements, and relates to a temperature analysis-based aviation rubber static sealing ring service life prediction method, which comprises the following steps: S1, carrying out an aging temperature test on an aviation rubber static sealing ring to obtain performance parameters; s2, establishing a dynamic curve performance degradation model of the aviation rubber static sealing ring, and estimating aging parameters, test parameters and aging rate parameters; s3, determining the working state of the aviation rubber static sealing ring according to the deformation rate of the aviation rubber static sealing ring; and S4, establishing an aging prediction model of the aviation rubber static sealing ring under the target working condition, and obtaining a life prediction result. According to the static seal life prediction method based on the temperature influence, the extreme high-temperature condition is injected into the dynamic curve performance degradation model, the obtained aging prediction model is high in accuracy, the test period is effectively shortened through the high-temperature acceleration test, the aging data of the seal ring can be obtained in a short time, and the method is suitable for popularization and application. The method has positive effects on product design, material optimization and process improvement.

An embodiment establishes a product design database based at least in part on product design data received from a product image repository, wherein the product design data is representative of a plurality of product designs. The embodiment ranks each product design based on a ranking metric derived from market data corresponding to existing retail products. The embodiment constructs a product design ranking based on a relative ranking between each of the product designs that have been ranked. The embodiment generates a new product design using a machine learning model based on the plurality of product designs and the product design ranking. The embodiment evaluates whether the new product design satisfies a design constraint. The embodiment, upon an evaluation that the new product design satisfies the design constraint, stores the new product design in the product design database. The embodiment displays the new product design via an interface.

The invention relates to the technical field of deep learning, and discloses a cultural and creative product iterative design method and system based on user emotion feedback. The method comprises the following steps: performing multivariate feature fusion on a first user evaluation text to obtain a fine-grained emotion dictionary in the field of cultural and creative products; extracting enhanced word representation and constructing a user emotion feedback information extraction model; processing the second user evaluation text and calculating to-be-optimized design parameters; performing grid division to generate a diversified optimization design scheme set; performing score prediction through the initial design scheme evaluation model to obtain a candidate design scheme set; and iteratively optimizing the candidate design scheme set, updating the initial design scheme evaluation model, and outputting a target design scheme evaluation model and a target creative product design scheme when a termination condition is satisfied. And the schemes can be effectively evaluated and screened.

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 discloses a product bionic design method based on a knowledge graph and a semantic fusion diffusion model, which comprises the following steps: 1) deeply analyzing text data and design requirements of various types of biological physiological and behavior characteristics, and constructing a biological knowledge ontology layer oriented to product bionic design and a corresponding graph database; 2) finely processing and screening images of recommended organisms, and jointly inputting the images and product names into a semantic fusion diffusion model to quickly generate rich and diversified product bionic design schemes; and 3) introducing a bionic design evaluation system, refining evaluation indexes, evaluating the plurality of design schemes, and outputting an optimal bionic design scheme. According to the method, the product design scheme meeting the design target can be quickly generated and output, new vitality is injected for innovation in the field of product bionic design, an intelligent design system tool for efficient design based on user requirements is provided for designers, and the design quality and productivity of product bionic design are improved.

The invention discloses a product process route generation method and device based on a bill of materials, a medium and equipment, and belongs to the technical field of computer intelligence. The method comprises the following steps: acquiring an engineering drawing of a to-be-processed product; extracting a bill of material of the to-be-processed product according to the engineering drawing of the to-be-processed product; according to the bill of material of the to-be-processed product, establishing association relationship data between parts related to the to-be-processed product; and according to the incidence relation data among the parts related to the to-be-processed product and the existing process database, a preliminary process route of the to-be-processed product is generated through operation. The device, the medium and the equipment can be used for realizing the method. By integrating the functions of engineering drawing analysis, BOM automatic generation, process database matching, process route intelligent planning and optimization and the like, full-automatic conversion from a product design drawing to a production process route is realized, and powerful support is provided for digital transformation of enterprises in the manufacturing industry.

The invention discloses a meta-model-based technical index construction and management method and system. The method comprises the steps of defining index metadata according to standard specifications, project experience and historical data; according to product design requirements, constructing a structured index template library; quoting an index template library, defining indexes and association relationships between the indexes and a demand model, a SysML model, a geometric model and the like, and forming an index library; calling an index suite, and applying the index set to form a plurality of sets of index parameter solutions; calculating and analyzing the index parameters of different solutions so as to realize preliminary balancing of the solutions; according to the changed index parameters, the associated index parameters are identified, and change prompting is carried out; performing tracking, detection and early warning on the index parameters through calculation and analysis of the index parameters; setting an index verification task according to the product research and development process, and managing the execution condition and result of the verification task. According to the technical scheme provided by the invention, full-life-cycle management of the product indexes can be realized.

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.

The invention discloses a credit business system evolution method and device based on a large model RAG technology, and the method comprises the following steps: obtaining information resources, generating a theme knowledge base, generating a front knowledge base, and storing the information resources in a vector database; obtaining a question text, judging whether a reply text of the question vector can be retrieved in the front knowledge base, and if yes, obtaining the reply text; if not, retrieval is carried out through the front knowledge base and the routing theme knowledge base, and a standard text is obtained; inputting the reply text or the standard text into the large model, and obtaining a result text based on a preset output template; and based on the output result text, judging whether the reply text exists in the preposed knowledge base, if not, updating the preposed knowledge base, and if yes, updating the preposed knowledge base for the second time. In the evolution process, the product design efficiency is improved, the research and development quality is enhanced, the system operation and maintenance timeliness is improved, unnecessary human input is reduced, and the purposes of reducing cost and improving efficiency are achieved.

The invention provides a method and device for supporting complex product manufacturing process model reconstruction. A user can input manufacturing process reconstruction requirements according to a language structure specified by a manufacturing process reconstruction template, wherein the manufacturing process reconstruction requirements comprise production units, manufacturing activities needing to be added, manufacturing targets and manufacturing constraints; the method comprises the following steps: analyzing a reconstruction demand according to a manufacturing process reconstruction dictionary, performing information extraction and element matching in a manufacturing process model library according to a production unit and manufacturing activities needing to be added to obtain a primary manufacturing process model scheme, and optimizing the primary manufacturing process model scheme according to a manufacturing target and manufacturing constraints to obtain a manufacturing process model; and a final manufacturing process scheme is reconstructed, and a model-driven self-adaptive reconfigurable manufacturing process function is realized. By using the method, rapid generation of the complex product manufacturing process model can be realized, and the efficiency and the quality of product design are improved.

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.

1. The name of the product of this design: Air Purifier (AP300). 2. Purpose of this design product: used for air purification. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention relates to an acrylic plate bending device, and belongs to the field of acrylic plate processing, the acrylic plate bending device comprises a bending assembly, a forming assembly and a natural air cooling assembly, the bending assembly is used for bending an acrylic plate, and the forming assembly is used for shaping the bent acrylic plate; and the natural air cooling assembly is used for cooling when the bent acrylic plate is shaped by the forming assembly. The invention has the advantages that: 1, the original characteristics and light transmission of the acrylic plate are effectively retained in the secondary processing process of the acrylic plate, so that the light transmission is more uniform, and the problems of concave-convex pits and the like on the bent surface are avoided; 2, the size of the formed acrylic is more accurate through the optimized forming process, the dimensional tolerance can be controlled to be smaller than or equal to 0.3 mm, and application in product design is more convenient.

The invention relates to the field of information technology application, and discloses a product manufacturing whole process BOM data structured construction method and related equipment, and the method comprises the steps: obtaining defect BOM data of an order output result of an ERP system; according to the defect BOM data, data features of ABOM, MBOM and EBOM are reversely analyzed and traced, and an analysis result is obtained; according to the analysis result, the ABOM, the MBOM and the EBOM are reconstructed to obtain a BOM data structure; the BOM data structure transmits the obtained data features to an ERP system, and BOM data structured construction work in the whole product manufacturing process is completed. According to the method, result defect BOM data is output through an enterprise resource planning system, BOM data characteristics in various BOM data driving business operation are reversely analyzed, difference removal, same storage and combination are carried out, a product design source EBOM model is reconstructed, and finally a'three-in-one 'simplified new BOM reconstruction model for driving enterprise business operation based on the source EBOM as a product digital main line is realized.

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 technical field of motors, in particular to a method for positioning the flat position angle of a motor rotating shaft through cogging torque, and the method comprises the following steps: designing and manufacturing a die head with a positioning function; mounting the stator core and the die head in a matched manner, and positioning the stator core; mounting the casing and the die head in a matching manner, and positioning the angle after the casing and the stator core are assembled; a motor rotating shaft flat position in the rotor structure is fixed opposite to the center of the magnetic pole; and assembling all the assembled motor assemblies into a finished motor. After the motor is assembled, the rotating shaft of the motor is rotated for one circle under the condition that the winding is not electrified, and the flat positions of the rotating shaft of the motor are respectively locked at 12 positions of 0 degree, 30 degrees, 60 degrees, 90 degrees, 120 degrees, 150 degrees, 180 degrees, 210 degrees, 240 degrees, 270 degrees, 300 degrees and 330 degrees. Compared with the prior art, the method for positioning the flat position angle of the rotating shaft of the motor by utilizing the cogging torque has the advantages that the flat position of the rotating shaft can be locked by utilizing the positioning torque, namely the cogging torque, of the motor when a motor winding is not electrified, so that the flat position of the rotating shaft of the motor is fixed at several appointed positions according to design requirements; the product design requirement is met, the structure complexity and the software control algorithm difficulty are reduced, the cost is reduced, the efficiency is improved, and the product market competitiveness is 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.

1. The name of the product of this design: the main body of the packaging tube of the atomizer. 2. Purpose of the product with this design: The whole of the product with this design is used as a packaging tube for an atomizer, and part of the product is used as the main body of the atomizer packaging tube. Both the whole and the part are used to store the atomizer. 3. The design highlights of this design product lie in the shapes of designs 1, 3, and 5; and the combination of the shapes and patterns of designs 2, 4, and 6. 4. The picture or photo that best illustrates the key points of the design: 3D drawing of Design 1. 5. Designate Design 1 as the base design. 6. Other circumstances that require explanation: The part of the product design for which protection is requested is indicated by a solid line.

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.

1. The name of the product of this design: Gigabit network cable splitter (TXE273). 2. Purpose of this design product: a splitter used to expand the network cable interface. 3. The design key point of this appearance design product lies in the combination of shape and pattern. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1.

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.