382 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 discloses a large workpiece strain measuring point auxiliary positioning system and method, and the system comprises a professional software and automatic control system, and an industrial photogrammetry system, a car lifting system, a laser projection system and a three-dimensional scanning quantitative analysis system which are connected with the professional software and automatic control system. And a positioning target is arranged on the surface of the large workpiece product. According to the system, strain contact auxiliary lineation and laser guide assembly work of a large workpiece and quantitative analysis work of strain gauge pasting are achieved, the system takes a target arranged on a product as a positioning reference, the outline of a product model is extracted in a photogrammetry mode, the product model and a real object are matched and unified to the same coordinate system, and the product model and the real object are obtained. The position contour of the strain gauge needing to be pasted and auxiliary information are projected to the surface of a product through the laser projection technology, the current pasting position information can be efficiently and accurately reflected, and high-efficiency and high-precision assembly of the strain gauge is facilitated.

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.

The invention relates to the technical field of disease detection and disposal methods, in particular to an intelligent detection and disposal method for large-displacement modular expansion and contraction diseases, and the method comprises the steps: obtaining static data and dynamic data of a large-displacement modular expansion and contraction device; wherein the static data comprises equipment specification, product model and manufacturer information, and the dynamic data comprises temperature, humidity, displacement, tensile stress and speed information; constructing a data analysis model by adopting an artificial intelligence algorithm based on the static data and the dynamic data; determining the health condition, predictive maintenance time and fault diagnosis information of the large-displacement modular telescopic device according to the output result of the data analysis model; generating an intelligent detection report containing health conditions, predictive maintenance time and fault diagnosis information; and based on an intelligent detection report, a disposal scheme of the large-displacement modular telescopic device is formulated, so that the reliability and the service life of the equipment are remarkably improved, and the maintenance cost is greatly reduced.

The embodiment of the invention discloses a commodity information display method and electronic equipment. The method comprises the steps that a 3D space model and 3D commodity models of multiple commodities are determined; performing ray tracing-based panorama offline rendering on the 3D space model to obtain a background panorama layer; the method comprises the following steps: respectively placing a single 3D commodity model at a target position corresponding to a category in a 3D space model, setting material parameters of the 3D space model to be transparent and keeping light and shadow information, and then carrying out ray tracing-based panorama offline rendering to obtain foreground panorama layers respectively corresponding to the plurality of 3D commodity models; determining a superposition sequence between the layers corresponding to the multiple target positions; and superposing the background panoramic image layer and the foreground panoramic image layers corresponding to the plurality of commodities according to the superposing sequence to generate a panoramic stereogram for displaying commodity information. Through the embodiment of the invention, the rendering quality can be improved, the loading time is shortened, and interactive experience is provided for the user.

The invention relates to a powder filling method and system of a hydraulic servo forming machine and an intelligent terminal, and relates to the field of hydraulic servo forming machines. The powder filling method comprises the steps that the product model of a to-be-formed product and image information of a forming cavity are obtained; matching powder demand according to the product model and a preset product database; shape and size information of the forming cavity is determined according to the image information of the forming cavity; according to the powder demand quantity and the shape and size information of the forming cavity, a powder filling device is controlled to fill the forming cavity with the metal powder and conduct preliminary smoothing, and metal powder image information after the forming cavity is filled with the metal powder is obtained; establishing a powder top surface fall model according to the metal powder image information and preset powder characteristics; determining all powder valley point positions and powder peak point positions according to a powder top surface fall model; and according to the powder valley point position and the powder peak point position, an air blowing device is controlled to conduct pulse air blowing on the metal powder so as to smoothen the metal powder. The forming device has the effect of improving the forming quality of the metal parts.

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.

A system for processing images captured in a retail store is provided. The system may include a processor configured to: access a database storing a group of product models; receive an image depicting at least part of a store shelf having a plurality of products of a same type displayed thereon; analyze the image and determine a first candidate type of the products based on the group of product models and the image analysis; determine a first confidence level associated with the first candidate type; when the first confidence level is below a confidence threshold, determine a second candidate type of the products using contextual information; determine a second confidence level associated with the determined second candidate type of the plurality of products; and when the second confidence level is above the confidence threshold, initiate an action to update the group of product models stored in the database.

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.

The invention relates to the technical field of image processing, in particular to a data processing method for building structure model design. Obtaining a plurality of historical product models and a current product design sketch, and respectively constructing corresponding undirected graphs; taking each node in the undirected graph of the current product design sketch as a first initial node, and obtaining a path set of the first initial node; acquiring a second initial node corresponding to the first initial node, and acquiring a path set of the second initial node; obtaining the similarity between the first initial node and each corresponding second initial node; arranging the part types corresponding to the second initial nodes to obtain a type recommendation sequence of the part types corresponding to the first initial nodes; and obtaining a model recommendation sequence of each part type in the current product design sketch to carry out product model design. According to the method, the models of the parts in the current product design sketch are recommended through the attribute association among the parts in the historical products, so that the model establishment is more convenient.

The invention relates to the technical field of production management, and discloses an MES-based production line data regulation and control method and system, and the data interaction content of the method comprises the following steps: equipment state, downloading of a product model list, downloading of production parameters, uploading of the production parameters, processing part state inspection, processing part state and processing data uploading, and equipment verification record uploading. The processing parameters of the equipment are managed and controlled by the system by downloading the product model and the production parameters; management and control of the system on the machining process of the machined part are achieved through state inspection of the machined part and process data uploading; the overall state of the equipment is managed and controlled through the equipment state and equipment verification; the data regulation and control method is suitable for PLCs of various brands and types, and standardization of data tracing of non-standard equipment is achieved.

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 relates to a product full life cycle management method. The method comprises the following steps: constructing a collaborative project management platform; a product full-life-cycle management platform is constructed for overall management of various projects, military product models, temporary tasks and technology pre-research projects are overall managed in the longitudinal and transverse directions, project management methods, tools and knowledge are fully utilized, and integrated management of all elements and the whole process of various projects is achieved; through standardization, process and visualization of a project execution process, the cooperative capability of the project is improved, comprehensive system integration is realized, and deep business fusion and accumulation and reuse of project experience and knowledge are realized; according to the invention, by establishing a product full-life-cycle management collaborative research and development platform, the combination of product research and development, process design and production and manufacturing is realized, and a digital design and process integrated application mode is formed. And meanwhile, standard, unified and safe management of product research and development data is realized, and integration with an external application system is supported. And basic data research and development support is provided for an external system.

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.

The invention provides a floating object track prediction method, a model training method, a system, a device and a medium, and relates to the technical field of deep learning. The method comprises the following steps: acquiring real trajectory data and hydrodynamic data to form a first data set, training a first encoder and a second encoder according to the first data set, encoding the first data set by using the trained encoders to obtain a second data set, training an intermediate generation product model according to the second data set, and generating hydrodynamic data according to the intermediate generation product model. The model can predict a vector of trajectory data based on a vector of hydrodynamic data, then a decoder is trained according to a third data set containing real trajectory data and the vector of the real trajectory data, and the trained first encoder, the intermediate product generation model and the decoder are combined to obtain a floater trajectory prediction model. According to the method, the mapping model of the relation between various hydrodynamic data and the trajectory data is constructed, the model can accurately predict the trajectory of the floating object, the prediction calculation amount is reduced, and the method is suitable for various sea environments.

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 embodiment of the invention provides an industrial part query method and device, electronic equipment and a storage medium, and belongs to the technical field of intelligent query. The method comprises the steps of obtaining a query request of a user, and determining a corresponding to-be-queried product model based on the query request; whether the to-be-queried product model exists in a local resource library or not is judged, and if the to-be-queried product model exists in the local resource library, a first part model corresponding to the to-be-queried product model is obtained; and if the to-be-queried product model does not exist in the local resource library, querying the to-be-queried product model through a cloud resource library to obtain a second part model corresponding to the to-be-queried product model. According to the embodiment of the invention, existing parts in enterprises can be efficiently reused, the product design efficiency of the enterprises is improved, and the research and development cost of new products is reduced.

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 switch terminal automatic assembling equipment, which comprises a terminal assembling device for assembling terminals and a base assembling device for assembling switch bases, and is characterized in that the terminal assembling device comprises a first rack, a first rotary table, a bearing table, a positioning jig and other six stations; the base assembling device comprises a second rack, a second rotary table, a base jig, a punching station and other four stations. The assembling process is carried out in a programmed mode through equipment, the quality problem and the safety problem caused by traditional manual wrong assembling and neglected assembling are avoided, sensors are arranged on all stations of the equipment, the equipment can automatically give an alarm and remind an operator of the position of a fault point when materials are in shortage or faults occur, intelligence is achieved, and the working efficiency is improved. The equipment can be compatible with production of seven product models only by simply replacing tools, various product production procedures can be switched through one key, and compared with a traditional manual operation mode, the time cost for manual training on duty is reduced.