14 results about "Data architecture" patented technology

This invention relates to the interdisciplinary technical field of government data governance, natural language processing, and database retrieval. It provides a method and device for constructing a multi-constraint fusion six-tuple dataset for government Text2SQL, aiming to build a multi-constraint fusion dataset GovSQL for government scenarios. It forms a tuple data architecture through a four-stage human-machine collaborative annotation strategy, while introducing an explicit mapping mechanism between policy text and business rules, as well as a constraint annotation process that combines large models and manual annotation, thus solving the semantic distortion problem that is common in the construction of Text2SQL datasets.

Methods, apparatuses, or computer program products provide for assessing performance of a data architecture model via an automated comparison framework. In some examples, techniques disclosed herein include receiving a first structured data object generated by a first data architecture model, receiving a second structured data object generated by a second data architecture model, executing a comparison of the first structured data object generated by the first data architecture model and the second structured data object generated by the second data architecture model, generating, based at least in part on the comparison of the first structured data object and the second structured data object, performance monitoring data associated with the second data architecture model, and refining the second data architecture model based at least in part on the performance monitoring data.

This invention relates to the field of database technology and discloses a dynamic data management method oriented towards business complexity. This method parses business logs to construct a real-time business interaction topology graph, calculates the structural entanglement degree representing logical coupling and the access discrete entropy representing the degree of hotspot dispersion, and generates a business state vector. It uses a time series model to predict future states, employs a recursive cost function considering lock blocking diffusion and resource contention effects to calculate execution costs, and generates policy instructions when the net utility meets a lag threshold. Responding to the instructions, it executes dynamic materialized views or transient vertical splitting operations including hot / cold separation, and performs nonlinear adaptive synchronous flow control based on real-time load. This invention quantifies business complexity through graph theory features and combines a predictive decision-making mechanism to achieve proactive data architecture optimization, effectively solving the performance degradation problem in highly coupled and hotspot scenarios.

The application discloses a kind of decoupling methods, devices and storage medium of enterprise data architecture, it is related to the technical field of data management, the method of the application comprises: obtaining data object in target data architecture and the dependent relationship between the data object;According to the data object and the dependent relationship, data architecture directed graph is constructed;According to the data architecture directed graph, the multidimensional centrality index and weight value of each data object are calculated;According to the multidimensional centrality index and the weight value, determine target coupling node, and execute corresponding decoupling strategy for the target coupling node.The application determines the corresponding decoupling node by abstracting data architecture into directed graph and applying graph theory centrality principle, and executes corresponding decoupling scheme, solves the problem that data model coupling degree is high in enterprise-level data warehouse, link is rigid, improves the maintainability of data architecture and the reuse value of model.

A method for dynamic data visualization and updating of subsea pipelines integrating BeiDou positioning is disclosed, relating to the field of marine engineering digitization and 3D visualization technology. This method constructs a marine digital twin data architecture consisting of a perception layer, a data layer, a fusion layer, a model layer, and an application layer. The perception layer integrates BeiDou positioning terminals, pressure sensors, temperature sensors, and sonar detection equipment deployed along the subsea pipeline to collect pipeline position coordinate sequences, environmental parameters, and seabed topography data in real time. The data layer standardizes, cleans, and encrypts multi-source heterogeneous data for storage. The fusion layer employs an adaptive Kalman filter algorithm to tightly couple BeiDou positioning data and inertial navigation data to obtain centimeter-level accuracy in the dynamic spatial position of the pipeline. By constructing a real-time fusion architecture of high-precision BeiDou positioning data and multi-source sensor data, dynamic visualization updates and secure interaction of the subsea pipeline's spatial position, operational status, and structural morphology are achieved.

This invention discloses a method and device for displaying calligraphy and painting using augmented reality (AR), relating to the field of AR technology. The method includes: scanning the display screen of calligraphy and painting works on an eye-tracking digital terminal and constructing a dense geometric layer and a sparse tracking layer of a two-layer data architecture; extracting information anchor points of specific elements and generating a set of information anchor points; performing eye tracking and gaze point calculation on the user to obtain precise gaze point coordinates, and performing hit determination and activation to obtain the target anchor point hit by the user's gaze; constructing a substrate and potential field environment and activating a multi-target enzyme-based optimization algorithm to solve for the user's three-dimensional pose coordinates; and dynamically overlaying and rendering the target digital information data package onto the display screen of the calligraphy and painting works based on the three-dimensional pose coordinates, achieving a fusion display of calligraphy and painting. This invention solves the problems of AR tag occlusion, rigid layout, cumbersome interaction, and low rendering efficiency in existing technologies.

The application relates to an in-process change handling method and device based on a modular data architecture, comprising: obtaining a main line design configuration product structure according to preset basic rules; creating a corresponding change handling sheet for a specific flight change, and identifying a flight validity interval to which the change handling sheet is applicable; determining a design module associated with the change handling sheet of the specific flight change according to a preset flight validity interval calculation rule; identifying an in-process change required to be carried out on the design module by comparing the change handling sheet and the associated design module; and completing single-machine EBOM analysis according to a preset validity calculation rule.

A control / data processor architecture is disclosed which merges data flow with control-flow into a unified control / data flow, enabling thread-level program execution—traditionally bound to a single-core hardware context—to transcend thread, task, and processor boundaries. The architecture supports software-pipelining of entire high-performance computing (HPC) kernels of arbitrary size and complexity, achieving high throughput and instruction-level parallelism. Additionally, the architecture accelerates sparse artificial intelligence workloads with very high sustained throughput and performance per watt.

A computer-implemented system for automated Name, Image, and Likeness (NIL) content creation, compliance verification, and sponsorship analytics is disclosed. The system includes an automated compliance and interpretation and visual system) module configured to generate personalized NIL digital assets, and a Retrieval-Augmented Generation (RAG) module configured to retrieve and apply NIL regulatory rules to verify compliance of the generated assets., while a Firestore data architecture stores athlete, sponsor, policy, and compliance records. A compliance scoring engine calculates normalized compliance risk scores, and an explainable AI visualization layer produces provenance-linked visual and textual outputs. A predictive scoring module forecasts NIL valuations and opportunity outcomes, and an AI security governance layer encrypts, audits, and monitors all data and models. Together, these components enable automated, transparent, and verifiable NIL content management within a unified cloud-based platform.

The application provides a semiconductor structure manufacturing method, and is applied to the technical field of semiconductors. In the application, a wafer edge is defined as a special layer on a yield management server side, wafer edge image data obtained by a wafer edge defect detection method provided by the application is stored in a data architecture of the special layer, the wafer edge image data stored by the special layer is imported into an automatic defect classification model, the ADC model is trained, and finally, the trained ADC model is evaluated by a confusion matrix. If the evaluation is passed, the ADC model is put online to realize automatic classification of wafer edge defects. Otherwise, retraining is performed to realize automatic detection and classification of wafer edge defects, timely monitoring of wafer surface defects caused by wafer edges, and improvement of product yield and production capacity.

The application discloses a data layer optimization method and device based on a power data architecture. The method comprises the following steps: collecting first power data and second power data; performing fitting operation on the first power data and the second power data to obtain a data layer to-be-optimized data set; inputting the data layer to-be-optimized data set into a spiral screening matrix to obtain a simplified data optimization result; and generating a data layer cyclic optimization scheme according to the simplified data optimization result. The application solves the technical problem that the existing power data architecture data layer optimization process only cleans or classifies data, and cannot flexibly plan and optimize and simplify different data according to application scenarios, thereby reducing the actual efficiency of optimization.

A mobile environmental monitoring system comprising one or more vehicle-mounted sensor units configured to acquire environmental data, including air quality parameters (101), meteorological parameters (102) and geolocation information (103) while in motion, a communication subsystem (104) for transmitting the acquired data (105) and a central data processing platform (106) for receiving (107), processing (108) and storing (109) this data, the system enabling dynamic and spatially distributed environmental monitoring.