21 results about "Metadata analysis" patented technology

The application provides a metadata analysis processing method and device, and relates to the technical field of big data analysis processing.The method comprises the following steps: collecting metadata in a data source; acquiring a business process, declaring the granularity of a metadata model according to the business process, and constructing a dimension table and a fact table according to the granularity; taking the business process as a modeling driver, and establishing a metadata model according to the metadata, the dimension table and the fact table; when a data analysis request is acquired, performing data analysis by using the metadata model to obtain an analysis result.The metadata model is established by collecting metadata, the metadata of enterprises scattered in multiple application systems is centrally managed, a complete and comprehensive data structure relationship is presented for the enterprises, the enterprises are assisted in centrally and efficiently managing data assets, the metadata analysis processing of different business requirements can be met, data value can be mined from the analysis result to guide business or product innovation, and the production of enterprises is empowered.

The application discloses an unmanned aerial vehicle automatic inspection system and method suitable for a wellbore environment and relates to the technical field of wellbore inspection. The system comprises an unmanned aerial vehicle inspection unit, a data acquisition unit, a signal transmission unit, a data analysis and management platform and a power supply unit. The unmanned aerial vehicle inspection unit is equipped with a 360-degree panoramic high-definition camera and a high-power three-dimensional laser radar, and can realize centimeter-level crack observation in a narrow space of a wellbore. The data acquisition unit acquires the position, power and inspection image data of the unmanned aerial vehicle in real time. The signal transmission unit guarantees real-time return of high-definition video without lag, and the delay is less than or equal to 200 ms. The data analysis and management platform realizes data display, storage and personalized adjustment. The application solves the problems of low efficiency, insufficient data precision and poor visualization of traditional wellbore inspection, improves the inspection efficiency and data reliability through an automatic inspection process, and provides comprehensive technical support for wellbore safety monitoring.

The present application relates to the technical field of cloud computing, and can be applied to business scenarios such as financial technology, and discloses a data skew adaptive processing method, device, equipment and medium, comprising: performing non-iterative sampling on a target data set through a metadata management interface, obtaining key value distribution information and identifying a target hot key set; combining the operation operator type of the data processing task and the data magnitude characteristics of the hot key to match an optimized execution strategy from a preset optimization strategy library, performing logical shunting processing on the target data set and completing result merging; collecting resource consumption indicators and data transmission indicators during task execution, comparing with historical benchmarks and updating the priority parameters of the optimized execution strategy. The present application realizes dynamic identification of data skew and adaptive adjustment of strategies by combining metadata analysis and running feedback, reduces resource consumption caused by skew, and improves the execution efficiency and stability of data processing tasks.

The application relates to the technical field of ultrasonic water meters, in particular to an ultrasonic water meter intelligent test system based on 4G communication and a test method, wherein the system comprises a hardware test module, a 4G communication module, a data processing module, a parameter configuration module and a man-machine interface; the hardware test module is used for connecting an ultrasonic water meter to be tested, collecting flow data such as instantaneous flow and cumulative flow of the water meter through a special interface, and simultaneously detecting the working voltage and the environmental temperature of the ultrasonic water meter to be tested; the 4G communication module supports LTE-Cat1 and above communication modes, can establish a stable wireless communication connection, realizes test instruction issuing and test data uploading, and the data processing module comprises a data storage unit, a data analysis unit and a chart generation unit. In the working process of the ultrasonic water meter intelligent test system based on 4G communication, the problems of low test efficiency, incomplete data recording and communication performance test loss in the prior art are solved.

The application provides a multi-source geothermal data intelligent cleaning and normalization method, device, equipment and storage medium, and relates to the technical field of geothermal exploration data processing. The method comprises the following steps: metadata analysis and standardization are performed on multi-source geothermal data; physical threshold and multi-physical field coupling constraint checking are performed through a rule verification subsystem; high-dimensional nonlinear features are mined and anomalies are marked through a deep learning anomaly detection subsystem; a unified four-dimensional space-time reference system and a physical dimension standard library are established, data is mapped to the reference system, coordinate conversion, deep alignment, unit standardization and missing value completion are performed; a quality evaluation report is generated and an expert feedback interface is provided, a deep learning model is optimized online based on the feedback; and the cleaned data is versioned and governed and is published in an interfaced manner. The application realizes space-time unification and intelligent management of multi-source heterogeneous geothermal data, improves the scientificity and consistency of the data, and provides a highly reliable data basis for geothermal resource exploration and development.

The application discloses a data query method and device, a storage medium and an electronic device, relates to the technical field of smart homes, and comprises the following steps: performing metadata analysis on first data in a data warehouse, and determining metadata information of the first data according to a result of the metadata analysis; adding different types of metadata carried by the first data to a retrieval database based on the metadata information; in the case that a positioning condition corresponding to to-be-queried data is acquired from the retrieval database, determining target metadata matched with the positioning condition from the retrieval database, so as to confirm a data query result fed back to a use object according to the target metadata. By adopting the technical solution, the problems that data cannot be quickly found and fed back to a use object in the related art are solved.

The application provides an automatic control module, a multi-instrument cooperative test system and a test method thereof. The test system comprises a coordination control unit, a data analysis unit and a data management unit. The coordination control unit converts input initial parameter data into corresponding instrument test instructions, and transmits the instrument test instructions to corresponding test instruments according to a preset control time sequence, thereby improving the operation synchronization of different test instruments during cooperative work. The coordination control unit also collects initial test data from the corresponding test instruments in real time and outputs the initial test data to the data analysis unit. The data analysis unit analyzes the initial test data according to a preset analysis algorithm and outputs analysis parameter data, thereby improving the analysis and processing capability of the initial test data. Finally, the data management unit manages and stores the initial test data and the analysis parameter data according to a preset processing mode, thereby realizing centralized management of the data.

The application discloses a space-air-ground multi-source heterogeneous data integration method and system for city water body monitoring, and the method comprises the following steps: acquiring remote sensing data, ground monitoring data and social data, and performing conversion; performing data format identification and unification, metadata analysis and standardization and band alignment and unified naming on the remote sensing data; performing time alignment and missing value interpolation on the ground monitoring data; performing spatial mapping and statistical caliber unification on the social data; loading the standardized data into a hierarchical hybrid architecture data warehouse which is compatible with matrix structure, time sequence structure and relationship structure; and providing data query and distribution services according to regional and / or project dimensions. The application solves the problem of different data formats, different structures and difficult integration in the city water body monitoring by designing special rules for the three types of heterogeneous data and constructing a hybrid storage data warehouse compatible with multiple data structures.

When considering scenarios where the amount of data per unit time increases rapidly, such as when the elevator car is in motion and sensor data changes moment by moment in a short period of time, it was not possible to adopt a communication standard with low communication capacity and low power consumption between the monitoring unit and the relay device. [Solution] The elevator monitoring device comprises a sensor management device that reads sensor values ​​from sensors installed in the elevator car, and a communication function device that can communicate wirelessly with the sensor management device. The sensor management device has a data analysis unit that analyzes sensor values ​​and generates analysis data, a state determination unit that determines the state of the elevator car from the analysis data and generates state determination data, and a wireless transmission unit that wirelessly transmits the state determination data using a first communication method. The communication function device has a wireless receiving unit that receives the state determination data transmitted from the wireless transmission unit, and a network transmission unit that transmits the state determination data using a second communication method.

The application provides a lake restoration method and system based on a UAV. Through the integration of multi-source heterogeneous data such as images, spectra, water temperature, and water quality, the lake ecological condition is comprehensively perceived, and the limitation of traditional monitoring data being single and one-sided is broken. Relying on deep learning and multi-element data analysis algorithm to deeply analyze the data, combined with intelligent decision algorithm to generate customized maintenance decision, the maintenance measures are changed from experience to science and precision. At the same time, the operation mode of the operation UAV and the multi-functional water operation ship is adopted, which takes into account the needs of small-scale, fine operation and large-scale, large-scale operation. The intelligent positioning of the multi-functional water operation ship and the special operation equipment configuration ensure the accurate landing of the maintenance operation, realize the intelligent and efficient operation of the whole process of lake restoration, greatly improve the efficiency and effect of lake restoration, reduce the maintenance cost, and promote the stable recovery of the lake ecological system.

The invention discloses a user data recovery method and a solid state disk. The method comprises the following steps: completely scanning metadata of each cell to obtain a metadata analysis file; obtaining remapping information and an RAID strategy, and marking corresponding records in the metadata analysis file based on the remapping information and the RAID strategy; determining each record in the metadata analysis file as a valid record or an invalid record, and marking the corresponding record; and according to the mark information in the metadata analysis file, re-establishing a mapping relation table from the logic address to the physical address so as to recover the user data according to the reconstructed mapping relation table. According to the method, the L2P mapping table is reconstructed by reading the metadata by taking the cells as dimensions, and various marks are made in the L2P mapping table, so that the cells from which data is read or the cells from which data is not read are determined according to the marks, and the data recovery efficiency and accuracy are improved.

Devices, methods and computer programs for enhanced processing of spatial audio based on separated audio content and associated direction information are disclosed. At least some example embodiments may allow improving spatial stability of audio capture and rendering, because a separated audio object is not affected by other sounds present, and because the separated audio object does not affect the spatial metadata analysis of the remainder sound.

This invention provides an AI-based multi-model collaborative intelligent screening and deep analysis method for multimodal data, comprising: differential preprocessing based on modal differences in multimodal samples, dynamically adjusting preprocessing parameters through sample metadata analysis; evaluating sample data quality using multi-dimensional indicators to obtain high-value data; using an importance and diversity coupled optimization strategy to screen high-value data to obtain effective samples; performing modal alignment on the screened samples to complete cross-modal feature fusion and generate a unified fused feature vector; performing multi-dimensional deep analysis on the fused feature vector to mine inter-modal correlation information, and combining domain transfer learning to achieve result generalization; evaluating the analysis results in real time based on preset indicators, and dynamically adjusting the core parameters of the entire process based on the evaluation results. The beneficial effects of this invention are: solving the problems of high screening cost, low accuracy, poor fusion effect, weak analytical capability, poor interpretability, and inflexible deployment in existing technologies.

The application discloses a multi-modal fusion verification method, device and equipment for business license verification. The method comprises the following steps: extracting text information of a business license image to be verified, and performing preliminary verification based on the text information; in response to the preliminary verification passing, the following steps are performed: outputting a first feature vector based on the image features of the business license image, the first feature vector being used to represent the visual features of the business license image; identifying a two-dimensional code in the business license image, obtaining a uniform resource locator by analysis, performing multi-dimensional risk detection based on the uniform resource locator, and constructing a second feature vector according to the multi-dimensional risk detection result; analyzing the editing traces, creation and modification time of the business license image, and the geographical position when the business license is taken based on the metadata of the business license image, and constructing a third feature vector based on the analysis result. The application can improve the accuracy of tampered image detection.

This invention discloses an intelligent tax question-answering system integrating hybrid retrieval and multi-turn dialogue, comprising a tax knowledge base unit, a data analysis unit, and an interaction unit. The tax knowledge base unit stores prior tax knowledge. The data analysis unit infers and generates search keywords based on the input tax question, and performs a hybrid retrieval in the tax knowledge base unit based on these keywords, outputting search results relevant to the tax question. The interaction unit allows users to input tax questions and visualizes the search results output by the data analysis unit. The system provided by this invention optimizes retrieval strategies and answer quality through end-to-end reinforcement learning, ultimately significantly reducing the illusion rate and improving the compliance, accuracy, and explainability of tax answers.

The application provides a software supply chain dependency network construction method for complex industrial software, and belongs to the technical field of software security.S1. main dependency analysis stage: through package manager multi-language configuration analysis, source code static analysis and construction log analysis, a complete direct dependency list is compiled;S2. metadata analysis and transmission extension stage: metadata is obtained by querying a software registry and a transmission closure is recursively constructed;S3. dependency graph model modeling stage: a directed graph model is constructed and stored in a Neo4j graph database.The application systematically solves the key bottleneck in the current technical solution, and further provides support for the analysis of the overall reliability, safety and other problems of industrial software.

The application relates to the technical field of deep learning large models and enterprise-level database management, in particular to a data quality monitoring system for deep learning large models, which comprises the following modules: an instruction and metadata analysis module, which receives natural language interactive text input by a user terminal and calls a metadata definition file of a target data table; a structured logic generation module, which generates a structured query language execution code compatible with the target data table; a two-dimensional rule execution module, which generates an evaluation data set containing a quality state identification bit and a security level integer value; and a dynamic control feedback module, which is used for obtaining the permission level integer value of the current user, performing character-level mask replacement or original retention operation on the data content of the target field set, and rendering the final query result through the user terminal; the application eliminates the high cost and low efficiency of the traditional mode which depends on manual writing of complex query statements, and significantly improves the convenience of human-computer interaction.

This invention relates to the field of metal wire processing technology, and more particularly to an intelligent wire drawing control system based on multimodal data fusion. The system includes a data acquisition unit, a data analysis unit, and first and second control adjustment units. The data acquisition unit acquires the axial temperature difference of the die and the surface gloss of the wire through a temperature sensing module and an optical detection module, respectively. The data analysis unit selects an adjustment strategy based on the numerical relationship between the temperature difference and gloss: when the temperature difference exceeds the standard but the gloss meets the standard, it determines to adjust the coolant flow rate in the die zones; when the gloss does not meet the standard, it determines to adjust the deflection angle of the wire drawing guide wheel. The first control adjustment unit calculates the coolant flow rate adjustment amount in the inlet or outlet zone based on the magnitude and direction of the temperature difference. The second control adjustment unit determines the deflection angle adjustment amount based on the gloss value and decides whether to perform periodic adjustments based on the gloss change rate. This invention achieves precise control of the wire drawing process, improving product quality and production stability.