30 results about "Data criteria" patented technology

This invention discloses a testing method, apparatus, electronic device, and storage medium for analog-to-digital converter (ADC) circuits. The testing method includes: acquiring the output dataset and data standard range set of each transmission channel of the ADC circuit; wherein the data standard range set includes the normal range of each output data in the output dataset; determining whether abnormal output data exists in the output dataset of each transmission channel based on the output dataset and data standard range set of each transmission channel; if at least one transmission channel has abnormal output data, determining the type of faulty component in the corresponding transmission channel based on the abnormal output data; determining the faulty component in the transmission channel corresponding to the abnormal output data based on the faulty component type; and ending the test if the output datasets of all transmission channels are normal. The ADC circuit testing method provided by this invention improves the testing and maintenance efficiency of ADC circuits.

This invention belongs to the field of intelligent manufacturing technology and discloses a method and system for process data integration and quality traceability management in intelligent manufacturing production lines for badminton rackets. It unifies data standards and interaction rules by constructing a five-in-one semantic ontology model encompassing products, processes, etc.; it builds an adaptive multimodal acquisition system, integrating three types of data sources: standardized equipment, non-standard processes, and offline testing, and completing edge preprocessing; it achieves chain-based data storage through a consortium blockchain hybrid storage mode, ensuring data immutability and shareability, and achieving efficient storage of all data; it assigns a unique, lifelong identity to each racket, and combined with a full-process digital twin mirror, it visualizes the entire process data from raw materials to the final product and simulates the production process; the consortium blockchain storage ensures the authenticity and immutability of traceability data, and when defects occur in the finished product, it can accurately locate the core influencing processes, parameter deviations, and other root causes through deep correlation graphs.

This application provides a data collaborative operation method for multiple business units, relating to the field of data management and processing technology. The method includes: collecting raw data from heterogeneous data sources corresponding to multiple business units, and standardizing the raw data based on preset industry data standards to generate standardized data; constructing a data asset catalog integrating industry knowledge based on the standardized data, and proactively recommending at least one data service to the corresponding business unit according to at least one target business scenario through the data asset catalog; and constructing an operation platform that supports data analysis result sharing and collaboration between at least two business units based on the data asset catalog and the proactively recommended data services.

The application provides an abnormal value screening method based on particle component reconstruction, and relates to the technical field of environmental monitoring. The method comprises the following steps: obtaining standard ion component data, standard carbon component data and standard inorganic element component data; obtaining multiple reconstruction component data; determining target PM2.5 data; determining suspicious reconstruction component data judgment results of the multiple reconstruction component data at each moment; determining single-variable time sequence abnormal point judgment results of each kind of reconstruction component data at each moment; determining multivariate time sequence abnormal point judgment results of the multiple reconstruction component data at each moment; and determining whether each kind of reconstruction component data at each moment is abnormal data. According to the application, the component reconstruction characteristics under different pollution levels can be evaluated, the understanding of the relationship between particle components by the model is enhanced, the stability and accuracy of identifying whether the reconstruction component data is abnormal data are improved, the calculation efficiency is optimized, and the environmental monitoring auditors are assisted to make decisions.

The application discloses a data constraint condition recommendation method and system in a data standard, and aims to solve the technical problem of low data constraint condition recommendation processing efficiency. The data constraint condition recommendation scheme compares the attribute type of target data with the attribute type of comparison data, compares the frequency distribution of target data with the frequency distribution of comparison data, finds comparison data similar to the target data, and determines the recommended data constraint condition of the target data, so that the technical scheme provided by the application no longer depends on data constraint condition matching according to the metadata of the data, and the automation level and constraint efficiency of the data constraint are improved.

The application discloses a data processing method and device, a readable storage medium and a data processing system, and relates to the technical field of data processing. The data processing method comprises the following steps: acquiring a first document to be processed through a source file analysis interface; performing document type conversion processing on the first document through a format analysis configuration module to obtain a second document; performing data structure conversion processing on the second document through a standard format updating module to obtain a third document; storing the third document in a document database through a source file management module; and performing auditing processing on the third document in the document database through a data quality checking module to obtain an auditing result of the third document. The data standardization of the document is improved, and the data uniformity of the document is also improved.

This application provides a data standardization method, apparatus, electronic device, medium, and program product based on multi-agent collaboration, involving the application of large models in fintech scenarios, and applicable to the fields of big data technology and artificial intelligence technology. The method includes: using a rule understanding agent to obtain a data standard document; parsing the data standard document to generate a structured rule base; using a data mapping agent to obtain a target data source; performing rule matching on the target data source based on the structured rule base to obtain candidate data items; and using a cleaning execution agent to perform cleaning operations on the candidate data items to generate standardized data.

This invention discloses a GIS-based multi-source heterogeneous data fusion and holographic mining system and method for coal mines. The invention relates to the field of coal mine informatization and intelligent technology, and includes a multi-source heterogeneous data fusion module for establishing a unified data standard protocol to automatically collect, upload, and fuse multi-source heterogeneous data, including geological exploration data, monitoring data, automated equipment data, and information system data. This invention establishes a unified data standard protocol based on a GIS platform, covering multi-source heterogeneous data from geological exploration, monitoring, automated equipment, and information systems. By standardizing data formats, transmission, and interfaces through the protocol, it achieves automatic collection, uploading, and fusion, solving the problem of data silos. After data fusion, the GIS platform serves as a unified entry point, supporting cross-system sharing and seamless integration of data from 3D laser scanning, total station measurements, etc., improving data availability and consistency.

This invention provides a data management system and method, belonging to the field of data management. The system includes: a data source management module, a database management module, a data model management module, a data standard management module, and a data quality management module. The data source management module is used to obtain multiple initial metadata and data types from multiple preset business systems, and construct a database to be processed using these initial metadata and data types. The database management module is used to update the database to obtain an updated database. The data model management module is used to construct a target model based on the updated database. This invention solves the problems of low online data rate, low structured data rate, and multiple data sources caused by the increasing amount of data in business systems. It establishes a unified data asset management standard, laying a solid data management foundation for building intelligent pipelines.

The application discloses an internal control defect collaborative prediction system based on federal causal forest and safety aggregation, relates to the technical field of data intelligence, and comprises a data standard module, an internal control running state data of each participant is collected from an internal control environment, standardized processing is performed, and a standardized data set is obtained; a causal modeling module, based on the standardized data set, a causal forest structure is constructed locally at each participant, and iterative optimization is performed on causal path selection, and a local causal model is obtained; a path feedback module, according to prediction representation information, a corresponding causal path of each participant is fed back to indicate adjustment, and a global causal forest model is optimized. The application introduces a consistency driving causal path dynamic selection mechanism based on a time index in the causal inference process, so that the selection of the causal path can maintain continuity and consistency with the evolution of the internal control running state.

This invention discloses a data sharing method and system based on smart cities, relating to the field of smart city data sharing technology. The method includes the following steps: S1, acquiring multi-source heterogeneous data from a smart city and establishing a unified data standardization rule base, wherein the data standardization rule base includes data format conversion, semantic mapping, and interface protocol adaptation rules; S2, based on the unified data standardization rule base, collecting, cleaning, format converting, and semantically mapping the multi-source heterogeneous data. This invention, by establishing a unified data standardization rule base, collects, cleans, converts, and semantically maps multi-source heterogeneous data from smart cities, such as transportation, environmental protection, government affairs, and energy, transforming it into standardized urban data and storing it on a unified data asset platform, effectively solving the problem of cross-domain data integration difficulties caused by inconsistent data standards in existing technologies.

The application discloses a data governance method, an electronic device and a computer readable storage medium. The method comprises the following steps: obtaining an external data source corresponding to a target object and a pre-created data standard library; the external data source comprises original data elements and corresponding original data values, and the data standard library comprises standard data elements corresponding to the target object, and the standard data elements correspond to verification dimensions; determining a name matching score between the original data elements and the standard data elements, determining target data elements of the original data elements from all the standard data elements based on the name matching score; obtaining a data quality score corresponding to the original data elements based on the name matching score, all original data values corresponding to the original data elements and the verification dimensions corresponding to the target data elements; obtaining all original data values corresponding to the original data elements with a data quality score greater than a data quality threshold, and converting the original data values into standard data values matched with the target data elements. The above scheme can improve the accuracy of data governance.

This invention discloses a refined model test method, system, and equipment for the soil displacement effect of open-pit pipe piles, relating to the field of open-pit pipe pile driving technology. The method includes: establishing multi-physical quantity similarity criteria and determining similarity constants; based on the similarity constants, preparing grouting mixture and constructing a micro-reinforcing cage; using the micro-reinforcing cage and grouting mixture to construct an open-pit pipe pile model; establishing a model box, preparing soil samples with target density and homogeneity using a layered filling method within the box, and setting up a pile driving test platform; constructing a comparative test scheme, and simultaneously monitoring and recording pile driving data using the pile driving test platform; processing and comparing the pile driving data to obtain data criteria, providing a basis for optimizing open-pit pipe pile driving parameters and construction control. This invention solves the problems of incomplete model similarity relationships, single test monitoring dimensions, difficulty in quantifying and comparing results, and the inability to provide an operational basis for optimizing engineering construction parameters.

Methods and systems are provided for adjusting data-alignment recommendations across a dispersed network of entities when a governing code of data standards is revised. A template-generation model receives the amended code and produces a first data template that lists entity-specific alignment tasks ranked by base scores reflecting predicted enforcement risk. Historical enforcement data—aggregated from multiple sources by matching entity identifiers—are supplied to an enforcement model, which outputs a penalty matrix containing weights that quantify the likelihood of future enforcement procedures for each entity-standard pair. The base scores are automatically adjusted in view of these weights, and the template-generation model issues an updated data template whose recommendations are re-ranked to prioritize entities facing heightened compliance risk.

The application provides a construction method of a space environment entity data file, an electronic device and a storage medium, relates to the technical field of data construction, and the method comprises the following steps: integrating and classifying original space environment data of each field, determining original data of the space environment and a corresponding original data format; performing classifying preprocessing of data structure, data format and data standard on the original data of the space environment; converting the original data format of the space environment based on the original data after the classifying processing, uniformly formatting different original data formats according to categories, and obtaining a target format corresponding to each category; and mapping the target formats of multiple categories based on a pre-constructed space environment entity data format, to generate a space environment entity data file. The application realizes integrated storage management and information sharing of space environment entity data, and can be used for deep-level applications such as thematic retrieval and space analysis of digital twin space environment entities.

This invention relates to a method, electronic device, and storage medium for acquiring model feature data. The method includes the following steps: a manufacturing execution system sends the basic attribute features of a mold part to a model management system; the model management system matches the model file and then transmits the model file to mold programming software; the mold programming software acquires the geometric feature data of the mold part; the basic attribute features include at least one of the following: part name, part material, material hardness, part size, and product name; the model file includes a three-dimensional model of the part and the basic attribute features matching the three-dimensional model; the geometric feature data includes at least one of the following: contour data, standard color data, part hole type data, model facet count data, model volume data, and four-way graphic color value data. The solution provided in this application can automatically acquire the geometric feature data of a mold part based on its basic attribute features, effectively improving efficiency and accuracy.

The application provides a data standard formulation method and device based on an artificial intelligence large model, and relates to the field of artificial intelligence. The method comprises: in response to an operation of formulating a data standard for a target project, acquiring a data set corresponding to the target project; taking a data table name and a data item name in the data set as input, performing a first data standard retrieval operation, the first data standard retrieval operation corresponding to a first retrieval result; if the data standard corresponding to the target project is not acquired through the first data standard retrieval operation, inputting the data set into a large language model to acquire a semantic description relationship in the data set; dividing a triple corresponding to the data item name according to the semantic description relationship through the large language model, and extracting a target keyword in the data set according to the triple; taking the target keyword, the data table name and the data item name as input, performing a second data standard retrieval operation on the target project, the second data standard retrieval operation corresponding to a second retrieval result; and sorting the first retrieval result and the second retrieval result through a preset sorting operation to acquire the data standard corresponding to the target project. The application solves the problem that a data standard formulation method based on rules or simple text matching is difficult to accurately identify the corresponding relationship between data items, thereby affecting the accuracy of the data standard.

This disclosure relates to the field of oil and gas geology, and particularly to a method, apparatus, equipment, medium, and procedure for analyzing the dissection process of oil and gas reservoirs. The method includes: selecting a target oil and gas reservoir based on the distribution characteristics of a predetermined target stratigraphic level; performing dissection analysis on the target oil and gas reservoir to obtain a dissection dataset; determining a data extraction method for each dissection data point based on its corresponding dissection category; extracting dissection attributes for each dissection data point using the data extraction method; analyzing each dissection data point based on the dissection attributes and pre-acquired dissection attribute data standards to obtain a dissection evaluation for each dissection data point; determining the complete dissection process corresponding to the target oil and gas reservoir using the dissection dataset; and comprehensively analyzing the complete dissection process using the dissection evaluation of each dissection data point. This invention can improve the accuracy of oil and gas reservoir process analysis.

The application is an abnormality detection benchmark model adaptive updating method based on similarity enhanced elastic weight integration. The application relates to the field of aircraft state monitoring technology, and deploys two identical models, which are respectively used for abnormality detection and model online updating, so as to avoid omission of abnormality detection due to model updating. Online flight parameter data is cached, space DTW is adopted to realize multivariate similarity measurement, and distribution change of monitoring data is monitored. When a similarity index exceeds a set threshold, it is determined that the current data distribution has changed significantly, the model is no longer adapted to the current data, and model updating based on similarity enhanced elastic weight integration is needed. After adaptive updating of the model, new working condition data is stored into a flight parameter data standard library, and the application can realize online adaptive updating of the benchmark model.

The application provides a transient electromagnetic method low signal-to-noise ratio observation data standard deviation estimation method and system, and belongs to the electromagnetic method detection field.The method comprises the following steps: drawing a decay curve of transient electromagnetic method observation data with time in a double logarithmic coordinate system, determining low signal-to-noise ratio observation data, a fitting segment number and a to-be-fitted observation data number; converting the to-be-fitted observation data to a logarithmic domain; constructing a deviation square sum equation between a logarithmic domain linear fitting function and to-be-fitted observation data in the logarithmic domain; solving a least square fitting function of the deviation square sum equation; calculating a least square fitting function linear domain value of an observation time in a certain fitting segment, and taking the deviation absolute value between the least square fitting function linear domain value and the to-be-fitted observation data at the corresponding observation time as the standard deviation of the to-be-fitted observation data; and until the standard deviations of the observation data of all fitting segments are estimated.The application is favorable for improving the subsequent processing and inversion interpretation precision of transient electromagnetic method data.

This invention relates to the field of enterprise data processing technology, specifically disclosing a method, system, electronic device, and storage medium for intelligent processing of business and financial data. The method includes: generating scenario definition information based on multiple business and financial data application scenarios; collecting metadata from multiple heterogeneous data sources according to the scenario definition information and constructing a data asset catalog based on the metadata; constructing a data computing capability library containing multiple parameterized computing units; configuring selected parameterized computing units, predefined rules, and external functions through a logic orchestration interface to generate customized logic for processing specific business and financial fields; and associating and processing business and financial data from multiple heterogeneous data sources based on the data asset catalog, data computing capability library, and customized logic to form a unified business and financial integrated data asset. This invention solves the problems of inconsistent data standards, difficulties in cross-domain integration, and reliance on manual intervention, thereby improving the efficiency of automated integration of business and financial data and unified asset construction.

This invention discloses a method and platform for unifying product master data standards in the electrical industry, belonging to the field of industrial internet and data governance technology. The method includes: connecting to multiple heterogeneous data sources to obtain raw master data of electrical industry products; performing feature extraction and standardized mapping on the raw master data according to a pre-defined electrical industry data standard system to generate standard master data; establishing a dynamic mapping relationship between the raw master data and the standard master data; and encapsulating the standard master data into standardized data services and opening up calling interfaces to upstream and downstream partners in the industry chain. This invention solves the pain points of inconsistent product data standards and difficulty in interoperating multi-source heterogeneous data in the electrical industry. By constructing a unified data standard system and dynamic mapping mechanism, it achieves standardized governance and sharing of product master data, reduces industry chain collaboration costs, and enhances data value.

The present application relates to the field of intelligent robots, and particularly relates to a robot test migration deployment feedback correction method based on Sim2Real, which comprises the following steps: based on unified data standards of a robot training test system, encapsulating a control strategy model of robot training test to form a standardized migratable strategy model package, testing and verifying the robot in a controlled environment, collecting full-quantity difference feedback data sets, and performing difference quantization; according to the difference quantization result, correcting and adjusting original virtual environment configuration parameters of the robot training test system. The present application encapsulates the control strategy model based on unified data standards, and the encapsulated content covers key information such as model core parameters and control logic, and is associated with virtual scene task packages and robot profile information, realizes full-process tracing of the model, provides complete and unified benchmark data for subsequent virtual and entity difference analysis, and improves the efficiency and accuracy of difference analysis.

The application discloses a data quality evaluation method and device in a database, electronic equipment and a storage medium. The method comprises the following steps: S1, determining the attributes of technical metadata to be evaluated, including field attributes and their evaluation scores; S2, formulating technical metadata standards; S3, specifying the mapping relationship between the metadata, including the mapping relationship between the technical metadata and the fields in the data table; S4, evaluating and comparing the data according to the technical metadata standards, the mapping relationship and the data to be evaluated, calculating the data quality evaluation score and the data quality evaluation pass rate to judge the data quality. The application maps the metadata in the database with the technical metadata standards by defining the technical metadata attribute standards, periodically realizes the comparison between the technical metadata standards and the database metadata, evaluates the data quality in the database, improves the credibility and effectiveness of the data, and is flexible in the evaluation mode and suitable for various data sources.

This application relates to the field of big data technology, and provides a method, apparatus, computer equipment, storage medium, and computer program product for determining data standards, which can be specifically applied to the financial field or other related fields. This application can improve the efficiency and accuracy of determining the target data standard for data. The method includes: acquiring data to be processed, which is data for which a data standard needs to be determined; determining feature data corresponding to the data to be processed; inputting the feature data into a pre-trained data standard recognition model; determining candidate data standards for the data to be processed and the matching degree between the data to be processed and the candidate data standards from pre-stored data standards through the data standard recognition model; and determining the target data standard for the data to be processed from the candidate data standards based on the matching degree.

The application provides an intense pulsed light therapeutic instrument based on an Internet of Things and a data synchronization method thereof, relates to the technical field of therapeutic instrument data synchronization, and acquires treatment parameters of the intense pulsed light therapeutic instrument through a cloud platform; a main control module performs treatment operation according to the treatment parameters to obtain treatment parameter feedback data; the treatment instrument data is collected according to the treatment parameters combined with the treatment parameter feedback data to obtain treatment instrument collection data; data standard processing is performed on the treatment instrument collection data to obtain a standardized data frame; coding correlation analysis is performed on the standardized data frame to obtain correlation analysis data; processing speed analysis and synchronization are performed according to the correlation analysis data to obtain therapeutic instrument synchronization data; and the application can improve the flexibility, efficiency and intelligence of the therapeutic instrument data synchronization.

A method includes receiving motion data from at least one sensor of a wearable device worn by a user. The method further includes receiving audio data from at least one sensor of the wearable device, the audio data representative of sounds emanating from the user's respiratory system. The method further includes comparing the motion data to a motion data criteria. The method further includes comparing the audio data an audio data criteria. The method further includes determining, based on the comparison of the motion data to the motion data criteria and the comparison of the audio data to the audio data criteria, whether the user has coughed.

The application provides a kind of ocean petroleum engineering full life cycle digital delivery standard system and platform system, belongs to the field of ocean petroleum engineering digitization technology, constructs digital delivery standard system, covers the business scope such as fixed platform, sea pipe, sea cable, floating production storage and offloading device and the five business stages of design, construction, installation, procurement, debugging, develops the digital delivery platform based on three-layer architecture, provides four core functions of data management, information integration, three-dimensional presentation and standard mapping.Innovatively establishes the factory object classification and attribute management mechanism, designs a multidimensional delivery progress monitoring system and data quality checking mechanism, and realizes configurable mapping conversion between offshore engineering standards and international standards such as ISO15926.The application realizes automatic data delivery through ETL technology, greatly improves the delivery efficiency, ensures the compliance, integrity and consistency of data, and solves the industry problem of non-uniform data standards in the whole life cycle of ocean engineering.

This invention provides a real-time monitoring and intelligent dispatching system for special transport vehicles based on multi-source sensor fusion. By standardizing and hierarchically fusing multi-source data, fused data is obtained, avoiding monitoring distortion caused by outliers and noisy data. The hierarchical fusion strategy solves the problems of simple data overlay and unresolved conflicts through a progressive integration approach. The output fused data possesses accuracy and consistency, and can be directly used as a reliable basis for monitoring and dispatching. By comparing the fused data with preset thresholds for each dimension in real time, the management level and direction are determined based on the comprehensive comparison results, achieving hierarchical and precise management. According to the management level and direction, combined with the fused data, the demand dispatching information for special transport vehicles is determined sequentially, enabling dynamic adjustment of risk-based dispatching for risky states and efficiency-based dispatching for normal states. Furthermore, the dispatching scheme is formulated based on the fused data, making it more practical.