232 results about "Product data" patented technology

The invention discloses a product data question and answer method based on a large model and mixed retrieval and related equipment. The method comprises the following steps: constructing a double-track knowledge base based on multi-source heterogeneous product data; performing multi-dimensional analysis on the current query statement in combination with the large model to obtain a multi-dimensional analysis result; the multi-dimensional analysis result comprises a query vector, a structured query instruction and a keyword; inputting the query vector into a vector database for retrieval to obtain a vector retrieval result; inputting the structured query instruction into a graph database for retrieval to obtain an entity relationship retrieval result; inputting the keyword into the text knowledge fragment for keyword matching to obtain a keyword retrieval result; and combining the vector retrieval result, the entity relationship retrieval result and the keyword retrieval result, and sorting and screening the combined mixed retrieval result through a large language model to obtain target answer data. The method can significantly improve the accuracy and reliability of the retrieval result, and can be widely applied to the technical field of artificial intelligence.

The invention discloses a product image-text and document association identifier generation method fusing a PLM coding rule, relates to the technical field of product data management, and is used for solving the problem that an image-text and document association identifier is not clear. According to the method, document information vectors are constructed by fusing PLM coding rules and collecting document metadata of design drawings, process documents, quality management and bill-of-material systems, an image-text document structure mapping chain is generated through a structure mapping judgment model, a unique association identifier of the image-text document is generated in combination with a preset template, and the unique association identifier of the image-text document is obtained. And real-time updating is carried out during structure replacement, hierarchical reconstruction or configuration change, cross-system serial number semantic alignment is realized through a heterogeneous coding analysis rule base, heterogeneous naming conflicts are solved, identifiers are written into a product data management platform, an index relationship is established, hierarchical retrieval, version switching and historical backtracking are supported, and the product data management efficiency is improved. And the consistency and cooperation efficiency of product research and development and quality control are improved.

The disclosed embodiments include computer-implemented systems and processes that provision, in real-time, targeted digital content associated with an initiated data exchange based on structured messaging data. For example, an apparatus may receive a message associated with a real-time payment requested from a first counterparty by a second counterparty. The message may include elements of message data disposed within corresponding message fields, and based on at least the elements of message data, the apparatus may generate product data characterizing a product available to the first counterparty and transmit first notification data including digital content associated with the available product and with the data exchange to a first device operable by the first counterparty. Based on response data generated by the first device, the apparatus may perform operations that provision the available product to the first counterparty in accordance with the product data.

A system is provided.SOLUTION: A system, comprising: means for inputting height data; means for uploading a whole body image; means for selecting product data; means for transmitting the height data and the whole body image to a server; means for generating a list of available products and transmitting the list to a terminal; means for transmitting data of a selected product to the server; means for synthesizing an image of the product with the whole body image at an appropriate size and position to generate a fitting image; and means for transmitting the generated fitting image to the terminal.SELECTED DRAWING: Figure 1

The invention discloses a project and intellectual property achievement association evaluation method and system, and relates to the technical field of evaluation methods, and the method comprises the following steps: S1, data acquisition: obtaining project data, intellectual property achievement data and product data; s2, association model construction: constructing a project-intellectual property achievement-product association model based on the project data, the intellectual property achievement data and the product data; s3, matching degree calculation: calculating a multi-dimensional matching degree between the project and the intellectual property achievement based on the association model; s4, performing dynamic correction; and S5, value evaluation. According to the method, through quantitative analysis of a claim modification track in the review opinion reply process, especially the core index of the calculation technology abandon-retention ratio, patents which are subjected to large limitation shrinkage and of which the core protection range is seriously shrunk can be effectively discriminated, and association degree overestimation caused by neglecting the review game process is avoided.

The disclosed technology includes a computer-implemented technique for generating images of synthetic products that are manufacturable as physical products is disclosed. The system receives user input describing a conceptual product via a user interface, including text and / or image data. Based on the input, a manufacturer-specific or general generative model is selected and provided with a text-based prompt derived from the conceptual product description. The model generates one or more images of synthetic products, each conforming to manufacturing constraints. The images are presented to the user, each optionally associated with pricing and delivery information, and represent products that are manufacturable and acquirable via the interface. The system may incorporate manufacturability analysis, quality assurance, and model training using user feedback and product data. The invention further encompasses non-transitory storage media and systems implementing these methods for on-demand product visualization and acquisition.

The invention discloses a discrete manufacturing multi-view BOM dynamic derivation method and system based on a tree-shaped network structure, and belongs to the technical field of intelligent manufacturing and product data management. The method comprises the following steps: constructing a tree body as a single product data source, and storing a hierarchical relationship, attribute definition and engineering semantics of a product in a tree structure; based on the tree body, dynamically matching derivation rules through a mesh mapping relation library; executing rule matching, semantic verification, structure reconstruction and dictionary verification by utilizing a dynamic view derivation engine to generate a target BOM view; semantic constraint and verification are carried out on the derivation process through a BOM data dictionary module; and realizing access control and audit based on role, scene and data sensitivity through the security and authority control module. According to the method, a new generation of xBOM dynamic derivation architecture which takes a tree form as an ontology, takes a net form as mapping, is configurable in rule and is strong in data specification is constructed; the fundamental problem of discrete manufacturing multi-view BOM management is solved, and engineering rationality and service flexibility are both achieved.

The invention discloses a device and method for overturning and quality inspection of multi-specification rectangular tubes, and the method comprises the steps: constructing a complete square tube precise positioning and overturning detection system through the cooperative work of a square tube automatic grabbing workstation, an overturning device, an end part limiting device, a jacking centering device, a laser detection system and a visual detection system; according to the system, full-automatic grabbing, precise positioning and posture adjustment of the square pipes of multiple specifications can be achieved, meanwhile, comprehensive collection and analysis of product data are completed, and therefore the quality inspection efficiency and the detection precision are remarkably improved, and a scientific basis is provided for production process optimization. The technical bottleneck of existing equipment in square tube quality inspection and production is overcome, the universality, the automation level and the detection capacity of the equipment are improved, and the high-standard requirement of the building manufacturing industry for the quality of components can be met.

This disclosure relates to methods, apparatuses, systems, and the like for determining a product data set for producing a product based on the product data set using history data sets. The disclosure may contribute to the united nation's sustainable development goals of "industry, innovation, and infrastructure", "responsible consumption and production".

We provide the system. [Solution] A means of collecting product data from multiple commercial facilities, A method for predicting demand using machine learning techniques, A means for optimally allocating goods among multiple commercial facilities based on predicted demand, A means of monitoring and updating information on changes in product inventory in real time, A means of analyzing user purchasing behavior and formulating sales strategies, A means of providing information on product inventory status within commercial facilities via a smartphone app, A system that includes means for instructing commercial facilities to replenish their stock based on demand forecasts that take weather information and event information into account.

The application relates to the technical field of data synchronization, and discloses a Nexus warehouse product synchronization method and device, computer equipment and a storage medium. The method comprises the following steps: determining context data of a current product path by receiving a Select command; determining product data of the context data in a Nexus source product warehouse in response to a List command; and synchronizing target data in the product data from the Nexus source product warehouse to a Nexus target product warehouse in the case of receiving a Sync command, thereby completing Nexus warehouse product synchronization. In the foregoing manner, target data in the Nexus source product warehouse and the Nexus target product warehouse is configured according to self-defined configurations, and the target data is processed differently according to different commands, such as a Select command, a List command and a Sync command, so that the target data is synchronized from the Nexus source product warehouse to the Nexus target product warehouse, thereby solving the problem that Nexus private warehouse data is large in quantity, and private warehouse product data cannot be normally migrated due to the fact that a network between off-site machine rooms is not connected.

This invention provides a method, apparatus, device, and readable storage medium for predicting the value of banking business, relating to the field of computer technology. The method includes: acquiring historical product data and demand analysis, whereby the demand analysis includes demand names, directories, associated systems, and demand rules; calculating a demand data set based on the historical product data and demand analysis, where each element in the demand data set represents the number of transaction demand modifications, the set of demand rules, and the transaction credit value corresponding to a transaction; establishing a mathematical model of product value based on the historical product data, using the demand data set as input, and solving the mathematical model to obtain a product value set, where each element in the product value set represents the number of product demand modifications, the proportion of new business rules, and the product credit value corresponding to a product; and calculating the product value prediction result based on the product value set. By establishing a value chain relationship between products and demands, the method quantitatively reflects the value attributes of a product, displays the direction of business changes and the quality of demands in real time, assesses the direction of business changes, thereby improving customer experience, reducing operating costs, and forming a positive cycle.

This invention discloses an intelligent advertising design and generation method, specifically including the following steps: S1, Data Collection and Preprocessing: Collecting product data, user behavior data, historical advertising data, and real-time market data, and performing cleaning, labeling, and feature extraction; S2, User Profile Modeling: Constructing a dynamically updated user interest graph based on clustering analysis and deep learning algorithms; This invention relates to the field of artificial intelligence technology. This intelligent advertising design and generation method integrates multi-dimensional data such as product functions, user behavior, and competitor dynamics to improve the accuracy of advertising content, generate targeted advertising copy, support the joint generation and style unification of text, images, and videos, and the system can simultaneously generate advertising slogans such as "Riding the Wind, Unlocking the Acceleration of Youth" and dynamic posters, track click-through rates, conversion rates, and other indicators in real time, automatically adjust content parameters, use blockchain technology to store copyright information, and protect user data through differential privacy algorithms.

This invention discloses a product data verification method and system based on big data analysis. The method includes: performing initial verification to obtain initial verification data; performing anomaly detection and determining the verification time period and verification evaluation data based on the anomaly detection results; extracting data centers for products in the same category; calculating the centrality of each verification evaluation data point to obtain a data center degree vector; calculating the confidence of each verification evaluation data point based on a time-series dynamic confidence decay model to obtain a confidence matrix; extracting and normalizing user feedback data to obtain a user feedback vector; calculating the correlation between each verification evaluation data point and the remaining data and calculating the correlation deviation vector; constructing a semi-supervised adversarial verification prediction model; and inputting the product data to be verified into the semi-supervised adversarial verification prediction model to obtain the verification results. This method not only improves the efficiency and accuracy of product data verification but also has good interpretability and can be directly applied to product data verification systems.

The invention discloses a product retrieval method and device through label mining and a storage medium, and the method comprises the steps: carrying out the label extraction of obtained product data, obtaining the original label of each product, and enabling the products to comprise at least one of commodities and services; analyzing the original labels one by one, and determining the original labels as standard labels or determining the original labels as non-standard labels to be associated with the corresponding standard labels to form at least one label cluster; wherein each standard label corresponds to one label cluster; adding the standard labels included in the label cluster to each product corresponding to the label cluster; and taking a product corresponding to the target label as a target product, wherein the target label refers to a standard label corresponding to the retrieval content. According to the technical scheme, standard clustering of the labels is achieved, and the product retrieval precision and speed are improved based on the standard labels.

The invention relates to a modular and serialized component-based shelter rapid design system, which is matched with an external product database and simulation software for operation, and comprises a shelter body database module, an equipment carrier database module, an auxiliary component database module, a shelter finished product database module, a layout module, an intelligent assembly module and a rendering module, and the rendering module obtains the three-dimensional model of the complete shelter from the intelligent assembly module, automatically matches materials and preset colors, and automatically renders and generates an effect picture of a standard view angle of the shelter according to the set colors. The invention further provides a rapid design method of the square cabin. According to the method, the problems of low design efficiency, low quality, large repeated modeling workload and slow scheme updating iteration of the existing shelter are solved, and the rapid design requirement of diversified shelters is met.

The invention relates to a demand entry control method and system. The method comprises the following steps: step S1, demand compilation and structured export; s2, platform entry control is carried out; and S3, performing DOORS entry editing permission control. Through entry-level authority control and a precise change operation mechanism, the problem of data islands is effectively solved, fine processing of a single demand entry is supported, the method has the advantages of improving the fine level of demand management, enhancing the data collaboration capability, optimizing the change control process and the like, the limitation that DOORS data can only be stored in a local server is broken, and the demand management efficiency is improved. An interconnection mechanism between the DOORS client and the product data management platform is established, so that fine control and rapid iterative updating of the demand items are realized, operations such as tree-shaped display, batch signing and auditing, version raising and release freezing of the demand items are supported, and the automation degree and the control efficiency of demand change processing are greatly improved.

The invention provides a product data multi-dimensional full-period management method, system and device and a medium, and relates to the technical field of product data management, and the method comprises the steps: constructing a preset module; receiving project configuration information input by a user, calling and executing a corresponding clipping rule from a preset module based on the project configuration information, and dynamically generating a project baseline; on the basis of the project base line, constructing an incidence relation graph between the deliverables, and on the basis of the incidence relation graph and the dynamic Bayesian network, establishing a change influence probability propagation model between the deliverables; when it is monitored that the target deliverable is changed, based on a change influence probability propagation model, quantitative influence values of the change source deliverable on the associated deliverable in quality, progress and cost dimensions are calculated, and a change influence analysis report is generated; and outputting visual results of the project base line, the incidence relation graph and the change influence analysis report. Product data management is realized or assisted through an automatic system, and the management efficiency and effect of the product data are improved.

A computer-implemented method: (A) receives product data identifying a product; (B) (B) receives patent data identifying a patent claim; (C) receives prior art data identifying a set of prior art, (D) executes an optimization process to minimize an objective function, the objective function including: a first sub-objective function and a second sub-objective function, the executing the optimization process comprising: (D)(1) generating a plurality of interpretations of the patent claim, (D)(2) for each particular interpretation in the plurality of interpretations of the patent claim: (D)(2)(a) using a first language model to evaluate the first sub-objective function with the product data and the particular interpretation as inputs to the first sub-objective function, (D)(2)(b) using a second language model to evaluate the second sub-objective function with the prior art data and the particular interpretation as inputs to the second sub-objective function.

The application relates to the technical field of furniture sales, in particular to a store sofa sampling detection method and system and a storage medium, which comprises the following steps: generating a corresponding product list according to a sales plan; obtaining plan sofa information in the product list, and obtaining a corresponding plan sofa model from a product database according to the plan sofa information; updating and adjusting the product database according to a convolutional neural network training method; obtaining an exhibited sofa image in a store, and storing the exhibited sofa image in a product picture library; identifying and comparing the plan sofa model obtained from the product database and the exhibited sofa image in the product picture library, and obtaining a corresponding comparison result; and judging whether the store sampling is qualified according to the comparison result. The application has the effect of improving the timely detection management of the enterprise end on the store sampling of sofas according to the sales plan.

This application belongs to the field of artificial intelligence technology and relates to an event-driven product data management method and related equipment. The method includes: real-time acquisition of end-to-end data of a target product; when the end-to-end data is detected to meet the triggering conditions of a risk event, constructing an event task corresponding to the target product based on the end-to-end data; calling a task orchestration model and decomposing the event task according to the task orchestration model to obtain N event sub-tasks, where N is a positive integer; generating multimedia materials and auxiliary description text based on the task description text of each event sub-task; constructing product display data corresponding to the event task based on the multimedia materials and auxiliary description text; and outputting the product display data to the user terminal corresponding to the target product. This application can be used in fintech business systems to generate relevant product content, improving the efficiency and accuracy of product data management.

The application discloses a digital-analog fusion double-drive digital-real fusion evaluation method for aerospace equipment, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: generating enhanced product data covering extreme working conditions through a conditional generative adversarial network, and constructing an environmental parameter matrix to realize systematic representation of assembly working conditions; secondly, a dynamic data scheduler and a hierarchical reward mechanism are designed to realize intelligent fusion of real product data and enhanced product data in the reinforcement learning training process; finally, a bidirectional collaborative training framework is constructed, the feature extraction capability of the graph neural network is combined with the decision-making capability of the reinforcement learning, and the model generalization capability is improved through the meta-course learning of environment perception. In the online evaluation stage, a hybrid prediction mechanism based on uncertainty estimation is adopted to ensure the prediction reliability of the system under different working conditions. The application significantly improves the quality prediction accuracy under the condition of small sample, and is especially suitable for the fields such as aerospace and precision instruments which have extremely high requirements for assembly precision.

The invention relates to the technical field of industrial production data management, and particularly discloses an automatic transfer and transposition method and system for electronic product assembly, and the method comprises the steps: collecting and converting production events of each process of a production line, and generating a continuous event flow; on the basis, graph structure data is constructed and maintained, the products, the components, the stations and the identification carriers are defined as nodes, and the association is defined as relation edges; the method is characterized in that in response to a labeling request, a system executes traversal query based on graph data, and before a physical attachment action is executed, target identification carrier information is dynamically analyzed, and the integrity of a product data chain is forcibly verified; only when the verification is passed, a control instruction is generated to drive an execution mechanism to finish accurate transfer, transposition and attachment of the identification carrier; after successful attachment, the system atomically updates graph data, establishes a binding relationship between the product and the identification carrier, and realizes forward prediction and reverse full-link tracing; according to the invention, intelligent production closed-loop management from passive response to active prediction is realized.

The invention provides a data synchronization system, method, device and equipment and a storage medium, and relates to the technical field of data processing. The data synchronization system comprises a production platform, a forwarding system and a management platform, wherein the forwarding system determines a synchronization mode corresponding to the production platform; if the synchronization mode is based on the message queue, receiving a message sent by the production platform, and storing the message in a first message queue; sending a message to a management platform; if the synchronization mode is an asynchronous file transmission mode, receiving a product file sent by a production platform, and sending the product file to a management platform; and if the synchronization mode is an online interface mode, receiving product data sent by the production platform, and sending the product data to the management platform. The product platform can select one of multiple synchronization modes to access the synchronization system, and the transmission efficiency of the product data can be improved based on the message queue and the asynchronous file transmission mode.

The present application relates to the technical field of production quality traceability, and particularly relates to a CKD mode-oriented accessory production quality control traceability method and system.The method comprises the following steps: obtaining product data to be exported and a production process thereof, recording standard parameters of each accessory, subsequently disassembling a spatial position of the accessory in the product, constructing a unique identification tag, reading tag position information in real time through a read-write device of a logistics node, and querying corresponding real-time temperature data.According to temperature variation, accessory parameter variation is simulated, whether real-time parameters conform to standards is monitored, if not, an error generation position is marked, a quality control traceability chain is constructed through the error position and position information, and a query index is set, so that efficient quality management and traceability are realized.The present application realizes real-time monitoring and dynamic management of an accessory production process, and enhances transparency and traceability of the production process.

This invention relates to the field of industrial production data management technology, specifically disclosing an automatic transfer and transposition method and system for electronic product assembly. It generates a continuous event flow by collecting and converting production events from each process on the production line. Based on this, it constructs and maintains a graph structure data, defining products, components, workstations, and label carriers as nodes, and their associations as relational edges. The core of this invention lies in its response to labeling requests. The system performs a traversal query based on the graph data. Before the physical labeling action is executed, it dynamically parses the target label carrier information and forcibly verifies the integrity of the product data chain. Only when the verification is successful is a control command generated to drive the actuator to complete the precise transfer, transposition, and labeling of the label carrier. After successful labeling, the system atomically updates the graph data, establishing a binding relationship between the product and the label carrier, achieving forward prediction and reverse full-link traceability. This invention realizes intelligent closed-loop production management from passive response to proactive prediction.

The application discloses a product data real-time monitoring and analyzing method based on commodity bar codes, which supervises the risks that the target product in the sales end storage may face based on the weather conditions. If a factor that may cause risks to the storage environment appears before the target product is delivered, an alarm is sent to the sales end to prompt the sales end to process the target product, so that further losses caused by the blind flow into the market are avoided. Moreover, the method in the application adopts sales codes instead of preset codes when supervising the target product, so that even if an attacker wants to tamper with the sales records of the target product to divert the target product with risks, the management end can also be aware of it, which is beneficial to risk management. It can be seen that the method provided by the application can realize product data real-time monitoring and analyzing based on commodity bar codes by using data processing technologies for management, supervision or prediction purposes.

We provide the system. [Solution] A means of providing an interface for processing requirements obtained from the user, A means for collecting product data from an e-commerce platform based on the said requirements, A method that uses a generative artificial intelligence model to analyze collected product data and generate optimal suggestions for user requirements, A means of sending the generated product suggestions to the user's terminal, A means for receiving user feedback on the proposal and generating a new product proposal, A system that includes this.