307 results about "Product model" patented technology

The invention discloses an equipment control system and method for OPS computer mainboard production, and relates to the technical field of equipment control, and the method comprises the steps: collecting technological parameters, and constructing a topological vector space; key information in the line changing process is recorded and stored in the context memory network; when a new OPS mainboard production order is received, identifying a product model in the order, and performing similarity retrieval in the topological vector space and the context memory network; taking the parameters retrieved by the topological space as basic parameters, taking the adjustment strategy extracted from the context memory network as increment, and generating initial process parameter setting; small-batch trial production is carried out, and an actual production result is compared with an expected result; and utilizing a reinforcement learning algorithm to generate optimization parameters. According to the method, through collaborative retrieval of the topological vector space and the context memory network, the optimal process parameters are rapidly obtained, the line changing debugging time is shortened, and more accurate control is completed.

The invention discloses a product model detection method and system based on welding spots. The method comprises the steps that a welding spot identification mark is obtained, a welding spot file matched with the welding spot identification mark is identified from a product model, and the welding spot file is a data file comprising a welding spot model; identifying a part model having an interference relationship with the welding spot model based on the position relationship of the welding spot file in the product model; taking an intersection surface obtained by intersecting the part models as a welding surface of the part models, projecting the welding spot model onto the welding surface to obtain a welding spot projection position, and detecting a shortest spot edge distance from the welding spot projection position to a welding surface boundary; based on the shortest point edge distance, the width of the welding face is determined through an auxiliary face intersection method; and detecting whether the product model is qualified or not based on the shortest point edge distance and / or the width of the welding surface. The technical problems that in the prior art, welding spot detection mainly depends on manual estimation, so that subjectivity is high, efficiency is low, and missing detection is prone to occurring are solved.

The invention relates to the field of data processing, and provides a cross-border e-commerce intelligent product selection system and method based on multi-platform data fusion, and the method comprises the steps: carrying out the data collection and preprocessing of a plurality of cross-border e-commerce platforms, constructing a neural network model through optimal hyper-parameters, training, and generating a selected product recommendation list. Meanwhile, the structural parameters and the search direction of the selected product model are continuously updated, and the selected product recommendation list is dynamically updated. According to the system, multi-platform commodity data are integrated, versioning feature snapshots are constructed, hyper-parameter selection of a multi-snapshot version evaluation strategy optimization model with a consistent time sequence is adopted, the generalization ability of a commodity selection model to a time-varying data environment is enhanced, the possibility that the accuracy of the model is reduced due to the change of data distribution is reduced, and the accuracy of the commodity selection model is improved. Meanwhile, dynamic updating of the selected product recommendation list is achieved, and it is ensured that the recommendation strategy can be fully matched with preference migration of the selected product trend.

The invention belongs to the technical field of digital assembly process design, and discloses a product model data structured processing method, electronic equipment and a storage medium, and the method comprises the steps: constructing a data storage structure of a product model assembly, which comprises an attribute table and a relation table; identifying components, parts, standard components and assembly digital models in the product model data; extracting attribute information of components, parts, standard components and assembly digital models in the product model data, and storing the extracted attribute information into an attribute table; and extracting contact relation information of the parts and the standard parts in the product model data and assembly relation information of the assembly digital model, and storing the extracted contact relation information and assembly relation information into a relation table. According to the method, the problems of low efficiency, large workload and poor accuracy of existing three-dimensional model data structured processing are solved.

The invention discloses a product quality problem solution automatic generation method and device, a medium and a product, and relates to the field of data processing. The method comprises the steps that a fault code and product type information of a current product quality problem are determined as a target fault code and target product type information, the fault code comprises multiple pieces of fault identification information, and the fault identification information comprises failure part information, failure position information and failure mode information; determining a first recommended solution set from a historical database based on the target fault code and the target product type information; when the data size of the first recommended solution set is insufficient, a second recommended solution set is determined from a historical database based on the fault identification information, and the data size of the second recommended solution set is larger than that of the first recommended solution set; and finally, generating a quality problem recommendation solution based on the second recommendation solution set. The problem that the formulating efficiency of the product problem solution is not high can be relieved.

The invention discloses a production line test construction system based on an MES system, and relates to the technical field of intelligent manufacturing and production line testing, and the production line test construction system comprises a test configuration module, a test execution module, a data integration module, a visual interface module and an authority management module. The test configuration module is used for automatically obtaining a test process template from the MES system according to the product model information and completing process customization in a graphical mode; the test execution module identifies a to-be-tested product and calls a process file, and controls the test equipment to execute a test and perform data acquisition and judgment; the data integration module binds the test result with the unique identifier of the product, and uploads the test result to the MES system to realize full-process tracing; the visual interface module is used for displaying a process state and a test result; the authority management module is used for performing hierarchical control and version conflict detection on the operation authority; according to the system, the construction efficiency and execution reliability of the test process are improved, and closed-loop and intelligent management of data in the test process is realized.

The invention relates to a product customization and configuration method and system based on a product model and a knowledge base. The method comprises the following steps: (a) associating a product structure model and a product knowledge base of a target product series; (b) constructing a product configuration model integrating a product structure model, a product knowledge graph and a configuration rule; (c) customer demand parameters are received, and a customized configuration scheme is generated through the product configuration model; (d) automatically generating a design material list and a process material list based on the customized configuration scheme; and (e) executing cost accounting according to the generated design bill of material and the process bill of material and outputting quotation data. The method has the advantages that the requirement of a user for customization can be met, the requirement for configuration can also be met, data such as technologies and processes can be automatically configured for the user, the data can be synchronously updated to related software systems such as PLM and PDM, and the intelligent design and intelligent manufacturing capacity of an enterprise is greatly improved.

The invention discloses a text-guided 3D knitted product model generation and editing method and device, and relates to the field of computer vision, and the method comprises the steps: S1, employing a 3D diffusion model to enable a knitted product prompt text to generate an initial point cloud; s2, optimizing the initial point cloud and initializing the initial point cloud into a 3D Gaussian; s3, performing projection rendering on the initial 3D Gaussian to obtain a multi-view image sequence, and performing semantic segmentation on the multi-view image sequence based on an editing prompt text to obtain a mask sequence; s4, acquiring a 3D Gaussian with a semantic tag based on the mask sequence; s5, projecting the 3D Gaussian with the semantic tag to a 2D plane to obtain a rendered image; inputting the rendered image and the editing prompt text into a 2D diffusion model, and outputting a loss gradient; and utilizing the loss gradient to guide the 3D Gaussian to carry out iteration, wherein the 3D Gaussian obtained after iteration is finished is the final 3D knitted product model. According to the method, the 3D Gaussian is introduced, the semantic tag is added for the 3D Gaussian by using the editing prompt text, and the generation efficiency, the local semantic control and the high-precision editing are considered.

A system for receiving a product dataset associated with a product comprising one or more subproducts, a first corresponding product dataset associated with a first corresponding product, and a second corresponding product dataset associated with a second corresponding product. A system may determine a product model output corresponding to the product, wherein the product model output is a single, value-weighted indicator of the product. A system may determine a first variability index corresponding to the first corresponding product based at least on the product model output and the first corresponding product dataset, and a second variability index corresponding to the second corresponding product based at least on the product model output and the second corresponding product dataset. A system may display a visual indicator on a graphical user interface the first variability index and the second variability index.

The invention discloses a high-entropy alloy electrode production management method and system based on quality tracing, and belongs to the technical field of production management, and the method specifically comprises the steps: endowing an identifier for an electrode production batch, and collecting a technological parameter curve; dividing application scenes and storing data in a classified manner by associating batch identifiers with terminal product models; obtaining the statistical failure life of the terminal product and extracting related process curves to form an analysis sample set; quantitative fluctuation characteristics of the process curve are extracted, and correlation analysis is carried out on the quantitative fluctuation characteristics and corresponding batches of life; defining a process characteristic value interval in positive correlation with the long life in a specific scene and generating a corresponding production control parameter set; and matching an application scene according to the order product model, and calling a corresponding parameter set to execute directional production. According to the method, closed-loop tracing and correlation analysis between process data and terminal service performance are constructed, so that the performance suitability and the production control accuracy of the high-entropy alloy electrode in subdivision application are improved.

The invention relates to a product model generation method and device, electronic equipment and a readable storage medium. The method comprises the following steps: obtaining product key elements from obtained product demand information, and constructing structured product demand data according to the product key elements; matching a target reference model from a preset reference model database based on the structured product demand data; matching a target reference parameter instruction from a preset reference instruction database according to the target reference model and historical design data corresponding to the target reference model; according to a preset parameter recommendation neural network, performing parameter mapping based on the structured product demand data, the target reference model and the reference parameter instruction set, and generating a target design instruction set; and generating a product model based on a parameter driving technology and the target design instruction set to obtain a first target product model. According to the scheme provided by the invention, product model generation can be automatically driven in a whole process, the design efficiency and the result consistency are improved, and then the demand of quickly responding to the market is met.

A method and apparatus for identifying the defect grade of a bad picture, and a storage medium, which are used for solving the technical problem of it not being possible to quickly and accurately determine a bad picture that has a substantial affect on product yield. The method comprises: determining the defect size of a defect from a bad picture (101); according to a product model corresponding to the bad picture, determining the design size of a pattern corresponding to a component that is adjacent to the position of the defect (102); determining the defect grade of the defect according to the defect type of the defect and a magnitude relationship between the defect size and the design size, wherein the defect grade is the degree to which the defect affects product yield (103).

The invention discloses a 3D product configuration system with multiple configuration options and virtual simulation. The 3D product configuration system comprises the following configuration steps: data preprocessing and configuration option loading: preprocessing product model data input into a system; performing user configuration and real-time rendering on the configured model; executing a coloring algorithm through a rendering engine to complete real-time rendering; performing virtual simulation on the model, wherein the virtual simulation comprises scene simulation of the model, creation of an environment illumination model and dynamic simulation; user operation is fed back through an intelligent operation feedback algorithm; and completing configuration and generating a configuration report. According to the method and the device, the user can freely select the appearance and the function of the product through a plurality of configuration options, so that personalized customization is realized, and the satisfaction degree of the user is improved. Through the real-time rendering technology, the user can see the selected configuration effect in real time, the interaction experience is enhanced, and the user can understand the appearance and function of the product more visually.

Systems, methods, and devices provide virtual, three-dimensional, interactive environments by using a template user interface which defines multiple customizable parameters. An environment generator engine generates a customizable three-dimensional (3D) virtual environment by rendering a 3D model and applying one or more interactive features defined by the customizable parameters. These interactive features can include avatar features, product model features, game features, and / or environment features Additionally, product models are mapped to one or more virtual surfaces of the 3D model based on the customization parameters. The system also causes the virtual interactive environment to be presented, at a display of a user device, and receives user input(s) controlling the virtual avatar to browse the customizable 3D virtual environment.

The invention discloses an electronic product appearance defect detection system based on self-adaptive light source regulation and control, and relates to the technical field of electronic product detection, and the system comprises four modules which perform their own functions and have respective advantages, so that efficient and accurate detection is realized. The initial multi-mode illumination scheme analysis module calls optical parameters according to the product model and generates an adaptive scheme, so that the problem of poor adaptability of a fixed light source is avoided, and the multi-material detection requirement is met; the multi-modal image synchronous acquisition module acquires three types of images by means of a polarization splitting prism group, provides comprehensive data, and solves the problem of missing detection caused by insufficient single image information. The defect intelligent identification and confidence evaluation module accurately judges defects and types, and can decide whether to optimize or not according to confidence, so that misjudgment is reduced; and the adaptive light source optimization decision module formulates an adjustment strategy according to the comprehensive confidence, thereby realizing dynamic optimization of the light source and improving the subsequent detection precision. The detection accuracy and efficiency are greatly improved on the whole, and the device is suitable for various types of products.

The invention discloses an Internet of Things equipment data analysis method and system supporting multi-protocol custom splicing, and relates to the technical field of communication protocols, and the method comprises the steps: constructing a multi-protocol equipment access link; in response to an original data message reported by the Internet of Things equipment through the multi-protocol equipment access link, determining a product model of the Internet of Things equipment based on the original data message; splitting the original data message into a plurality of functional paragraphs based on the attribute of the product model; analyzing each function paragraph to obtain function paragraph data, and mapping the function paragraph data to a corresponding attribute of the product model; and storing the mapped functional paragraph data into a time sequence database and a relational database. According to the method, the external data interface can be customized and created, the service system can conveniently obtain the equipment data, the operation data and the freezing data, the method has the functions of real-time reading control and the like, the data transmission safety can be guaranteed, equipment access under a large number of protocol concurrency scenes can be effectively handled, and the access efficiency is improved.

The invention relates to the technical field of advertisement design, and discloses an AI virtual human interaction method and system, and the method comprises the steps: receiving original demand data inputted by a user, generating a brand feature vector, and generating first virtual human data, first line data and first product model data based on the brand feature vector; and performing cooperative adjustment based on the ith interaction instruction to generate a virtual human image. By implementing the method and the system, the functions of full-process intelligent design, data processing, collaborative generation, interactive response, scene adaptation and the like are improved, an efficient and complete virtual human image customization scheme is formed, and the problem that multi-source heterogeneous data are difficult to comprehensively analyze when user requirements are processed by a traditional method is solved. The problems of large deviation between generated content and user expectation and poor scene adaptability caused by lack of a collaborative adjustment mechanism of a virtual human image, lines and a product model, low processing efficiency of a modification instruction and incapability of ensuring cross-modal consistency in the prior art are solved.

The invention relates to the technical field of power management, and discloses a digitized sensing method, system and device for power demands in a park, and the key points of the technical scheme are that the method comprises the steps: S1, deploying related equipment, including arranging an intelligent electric meter, an environment sensor and an equipment sensor, and constructing a data collection network; s2, accessing a data source interface, and collecting power data and related data in a classified manner; s3, preprocessing the collected data, including denoising, abnormal value detection and missing value completion; s4, a hierarchical multi-modal power operation model is constructed, a multi-dimensional cross validation mechanism is introduced, each power monitoring object is included by at least two models with different feature weights, the models are trained, verified and tested, and a finished product model is obtained; s5, applying the finished product model, and obtaining predicted power data; and comparing the actual electric power data with the predicted electric power data, checking difference data, analyzing abnormal reasons, performing targeted processing, and performing parameter updating on a finished product model.

The invention provides a satellite assembly state visualization method and system based on a process and a lightweight model, and the method comprises the steps: S1, simplifying a satellite assembly model, removing irrelevant detail features in each product model, keeping the outer contour features, and forming a lightweight model; s2, setting a final assembly process of the satellite based on the lightweight model, and specifying a final assembly stage of the satellite; s3, planning satellites in all general assembly stages for testing and testing products needing to be loaded with the satellites, and forming satellite general assembly state requirements of the stages; and S4, forming a final assembly state design model of the satellite according to the final assembly state requirements of the satellite in each final assembly stage, and generating a final assembly state implementation model according to the feedback values of the product state implementation parameters. According to the method, bidirectional information flow of design and manufacturing links is promoted, and digital and visual development of satellite general assembly development is also promoted.

The embodiment of the invention provides a data management method and system for a product production process, equipment, a medium and a product, and the method comprises the steps: arranging a production process flow for a to-be-produced product model, the production process flow comprises at least one production process, and each production process corresponds to a unique process identification number; in the production process according to the production process flow, creating a product instance of the product model, the product instance corresponding to a unique product instance identification number; and obtaining production log data corresponding to each production process of the product instance, associating the production log data corresponding to the production process with the corresponding process identification number and the product instance identification number, and storing the production log data in the cloud. By using the method, the production log data generated by each process can be automatically stored in the cloud, and by establishing a complete product production process log recording and tracing system, the integration and sharing of the production data are realized, the information island phenomenon is avoided, and the production efficiency and the quality management level are improved.

The invention discloses a smart factory intelligent production scheduling system for a complete set of products, and relates to the technical field of the manufacturing industry. By establishing the product model, the production line model and the work station model and combining the work calendar, production order synchronization, special process treatment and a semi-finished product pulling production scheduling algorithm, scientific modeling and intelligent production scheduling of a complete set of product production plan are realized, the accuracy and the performability of the production scheduling plan can be improved, smooth production according to the delivery time is ensured, and the production efficiency is improved. Meanwhile, multiple production lines, multi-level plans and father-son order management are supported, and the production efficiency, the material neat rate and the flexible coping capacity of a factory are improved.

The present application provides a method for predicting the trajectory of floating objects, a model training method, a system, a device and a medium, and relates to the field of deep learning technology. The method includes: obtaining real trajectory data and hydrodynamic data to form a first data set, training a first encoder and a second encoder based on the first data set, encoding the first data set using the trained encoder to obtain a second data set, training an intermediate generation product model based on the second data set, the model can predict the vector of trajectory data based on the vector of hydrodynamic data, and then training a decoder based on a third data set containing real trajectory data and its vector, combining the trained first encoder, the intermediate product generation model and the decoder to obtain a floating object trajectory prediction model. The present application constructs a mapping model of the relationship between various hydrodynamic data and trajectory data. The model can accurately predict the trajectory of floating objects, reduce the amount of prediction calculations, and is applicable to various marine environments.

The invention discloses a personalized product creation and display system, which relates to the technical field of e-commerce and consists of a creation module, a picture processing module, a product model module and a product preview module. Through the system, a customer needs to provide information or instructions through an AI drawing software plate arranged in a creation module so as to guide an AI to create an image required by the customer; in addition, pictures generated by the AI drawing system can be modified intelligently or manually, and finally 2D and 3D models of personalized products are previewed through the product previewing module, so that customers can visually know the style of final commodities. Therefore, the system not only allows customers to create personalized products through the system, but also can display 2D and 3D models of the products created by the customers in real time to meet the requirements of the customers; customers can easily create personalized commodities, and new innovation and convenience are brought to the field of electronic commerce.

This invention discloses an adaptive dispensing method, apparatus, device, and storage medium, relating to the field of dispensing technology. The method includes acquiring identification information corresponding to a medium to be dispensed; acquiring dispensing parameters corresponding to the medium based on the identification information; arbitrarily placing the medium on the dispensing platform of a dispensing device; controlling a vision recognition device to collect and identify the placement information of the medium; and controlling the dispensing component of the dispensing device to perform a dispensing operation on the medium according to the dispensing parameters and the placement information. This method automatically matches dispensing parameters based on the identification information of the medium and automatically identifies the placement information of the medium using vision recognition technology before performing an adaptive dispensing operation. It eliminates the need for human intervention and complex operations, reducing the difficulty of dispensing operations and making the dispensing process more precise and efficient. It is suitable for mass production applications with different product models.

The utility model relates to spot welding fixture technology field especially relates to a robot automatic spot welding fixture of turntable bottom plate subassembly, including mechanism body, be provided with lifting adjustment subassembly, positioning and pressing subassembly, lifting positioning subassembly, slide table positioning subassembly, head positioning subassembly, side edge mobile slide platform subassembly and vertical plate positioning subassembly on mechanism body. The utility model novel structure, can change type fast, can be compatible with different types of product model, realize flexible production, automatic welding, solved the problem of traditional through artificial clamping labor intensity, promoted the quality and production efficiency of product, saved work time, can accurate control workpiece's up and down, horizontal, vertical and angle positioning, adapt to different size and shape turntable seat circle and workpiece, improved welding accuracy, applicable to a variety of workpiece types and size, realized the multifunctionality and adaptability of equipment, can fasterly complete welding task, shorten production cycle, promote overall production efficiency.

The challenge is to efficiently predict whether or not wrinkles or defects will occur during forging. [Solution] The forging wrinkle and defect prediction device 10 generates an analysis mesh of the molded product model, calculates the pre-molding surface area and post-molding surface area of ​​the mesh in each molding process, and calculates the surface expansion ratio based on the pre-molding surface area and post-molding surface area. The forging wrinkle and defect prediction device 10 then calculates the surface pressure at each mesh. Subsequently, the forging wrinkle and defect prediction device 10 predicts the presence or absence of wrinkles and defects based on the surface expansion ratio and surface pressure.

The invention discloses a system-level test strategy generation method and system based on a finished product test strategy. The method comprises the following steps: importing a finished product model and a corresponding signal development-oriented test strategy into a test platform; forming a finished product set A based on model selection, and forming a finished product level test strategy set T based on strategy selection; and screening related finished products of the tested system, screening all source and sink end names which are names of finished products at the other end of the non-current finished product according to source and sink information in an electrical interface in a finished product model, and forming a set B which is equal to a set B1 + a set B2. And according to the set B1 and the set B2, dividing the finished product level test strategy set T into a set C1 and a set C2, and performing system level test strategy conversion processing on the set C1. According to the method, the problem that a scheme from a current finished-product-level test strategy to a system-level test strategy is missing is solved, the system-level test strategy can be formed by comprehensively and quickly utilizing the existing finished-product-level test strategy, and convenience is provided for integrated testing of a complex system.

The utility model discloses an electrophoretic coating bumping test device for a laboratory, which comprises a bumping test device body, and the top and the bottom of the bumping test device body are both provided with round holes capable of being opened; and the handle lever device is inserted from the round hole which can be formed in the bottom of the bump test device body, penetrates out of the round hole which can be formed in the top of the bump test device body, and is fixed. According to the device, the adjustment design of different variables is integrated in one bump test device, so that two different test objects of workpieces and sample plates with different sizes, a certain number of steel balls with needles with different masses and test time can be realized through simple and convenient adjustment; problems existing in a visual method for testing the scratch resistance of the coating at the present stage are solved by screening proper electrophoresis product models, and finally a product evaluation model is optimized to improve a formula.

The application relates to a product model generation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing; fusing parameter information of the same material in multiple design information to obtain a parameter list and a material list corresponding to the target product; analyzing the relationship between the parameter information of different materials based on the multiple design information to obtain a constraint condition corresponding to the target product; and obtaining a product model corresponding to the target product based on the parameter list, the material list and the constraint condition corresponding to the target product. The method can improve the generation efficiency of the product model.

An electronic device and method for determining inspection areas of manufactured products includes obtaining first input data corresponding to a manufactured product; obtaining model information of the product; determining first candidate inspection areas by inputting the data and model information to a pre-trained artificial neural network configured to output an inspection area in response to receiving an image; performing inspections by identifying inspection targets in the candidate areas; and determining final inspection areas from among the candidate areas based on inspection results. The device may identify product models via barcodes or QR codes, perform various inspection types including fastening, shaping, and appearance inspections, and analyze positional relationships between components such as harnesses, cables, or connectors. The system adapts inspection areas by excluding non-feasible areas and incorporating newly detected areas through iterative testing and validation.