39 results about "Standard data model" patented technology

The invention relates to the technical field of light emitting of LED lamp beads, and discloses a uniform control method and device for the light emitting color of the LED lamp beads and the LED lamp beads, and the method comprises the steps that LED wafers are placed in a triangular annular mode, and the LED lamp beads are prepared through centrifugal treatment of double-layer packaging glue; acquiring an initial optical parameter matrix after applying rated working parameters, and establishing a standard data model; monitoring the LED lamp beads in real time to obtain a monitoring data set; calculating a multi-dimensional deviation vector by using a spectral similarity algorithm, an Euclidean distance algorithm and a ratio algorithm; a comprehensive deviation evaluation value is obtained through weighted summation; and generating a correction amount based on the evaluation value to carry out closed-loop control until a control termination condition is reached. According to the method, accurate control over the light emitting colors of the LED lamp beads is achieved, and the uniformity and stability of the light emitting colors of the LED lamp beads are improved.

The invention discloses a method for constructing a whole-process connection logic model of power grid equipment, and belongs to the technical field of power system engineering. The method is implemented through the four steps of primary equipment information integration, model construction and improvement, model programming test and model conversion tool development. By constructing the basic data base and the standard data model, data standardization and service normalization are achieved, the deep problem of cross-professional business collaboration is solved, and the requirement of a company for data sharing is met. The standardized data management can greatly improve the efficiency and accuracy of data exchange, and effectively support the cooperative work of different business departments. A data center is taken as a core, an integrated data service is constructed, a data supply link is optimized, the communication of the whole process of equipment and the intelligent improvement of customer service are supported, and the transformation of enterprises to digitization is promoted.

In one example, a method for updating data models includes selecting a data model standard with which the data model is to comply based on attributes identified therein. The method further includes identifying a set of attributes required by the standard, but not present in the data model, and identifying at least one highest priority change to apply to the data model to increase compliance of the data model with the standard, based on weightings of priority of the set of attributes. The method further includes visually presenting a request for approval to apply the at least one highest priority change to the data model, and applying the at least one highest priority change to the data model and updating at least one of the weightings of priority based on whether the response comprises approval to apply the at least one highest priority change.

The invention discloses a method and system for generating an SSD model corresponding to a primary design drawing of a transformer substation, and relates to the technical field of digital design of a power system, and the method comprises the steps: extracting equipment information and connection relation information in the primary design drawing of the transformer substation; the equipment information comprises an equipment name and attribute data; constructing structured design drawing data based on the equipment information and the connection relation information; based on a preset dynamic semantic mapping rule base, mapping the structured design drawing data into a standard data model and logic node association relationship; and generating the SSD model of the transformer substation based on the standard data model and the logic node association relationship. The technical problem that in the prior art, due to dependence on specific formats or tools, diversified drawing formats and equipment types are difficult to adapt is solved.

The invention discloses a cross-platform advertisement data fusion analysis method and system based on multi-source heterogeneity, and relates to the technical field of data fusion and advertising, and the method comprises the steps that a multi-source heterogeneous data collection module collects multi-platform advertisement data through a standardized interface to generate an original data stream; the data standardization module maps each platform differentiation field to a standard data model; the entity alignment module performs cross-platform entity matching based on material fingerprints and account features; the time sequence alignment module performs data aggregation according to a unified time granularity; the cross-platform attribution analysis module tracks a conversion path and calculates an attribution weight; according to the cross-platform advertisement data fusion analysis and closed-loop optimization system and method, the problems that cross-platform advertisement data formats are not uniform, entity alignment is difficult, time sequences are not synchronous, attribution analysis is inaccurate and the like are solved, and fusion analysis and closed-loop optimization of the cross-platform advertisement data are achieved.

The invention discloses a terminal test system and method based on a DL / T698 protocol. The system is composed of a master station platform, a to-be-tested terminal, a virtual electric meter, a virtual router and a data driver. The master station platform integrates a master station control module, a test case module, a configuration and control module, a communication management module and the like to realize test instruction initiation, parameter configuration, data interaction and result judgment; the virtual electric meter simulates a real electric energy meter to generate standardized data, the virtual route guarantees message transmission between the terminal and the communication connector, and the data driver provides a standard data model for result verification. The test method comprises a plurality of stages of pre-configuration and environment establishment, test case construction and data preparation, test step code conversion and assertion setting, test execution and result feedback and the like. According to the invention, the test efficiency can be greatly improved, the labor cost is reduced, and the test accuracy and reliability are improved.

The present application relates to a kind of metadata-driven two-dimensional standard data automatic storage method, belong to coal mine informatization technical field, including the following steps: S1: construction metadata system and define two-dimensional standard data model specification, generate standardization data model specification document, the metadata system includes data structure metadata, constraint metadata and storage adaptation metadata, the model specification is clear two-dimensional data's row dimension rule and automatic storage trigger condition;S2: by ETL tool, establish target data with the dynamic mapping association of the data model specification, generate and include field mapping relationship, conversion rule and storage routing information's mapping configuration;S3: based on the data model specification and mapping configuration, trigger automatic storage process, including automatically parsing model specification generation storage structure, automatically match storage medium, automatically execute data write and check, realize the automatic storage of two-dimensional data.

The application discloses a data migration method and device, electronic equipment and storage medium. The method comprises the following steps: constructing a hierarchical node graph according to demand elements of a data migration system under multiple demand types; different demand types are located in different levels; obtaining a standard data model matched with at least one data migration system respectively, the standard data model is used for storing the mapping relationship between multiple elements of the data migration system, and two elements in each element mapping relationship belong to different demand types; establishing the mapping relationship between demand elements in adjacent levels in the hierarchical node graph according to the standard data model, forming a migration mapping relationship graph; and migrating data in each data migration system to the data migration system according to the migration mapping relationship graph. Through the technical scheme, the data migration process based on data assets can be automated, the workload of manual data migration is reduced, and the data migration efficiency is improved.

The application provides a medical clinical data management system based on the SDTM standard, and relates to the technical field of medical clinical data management.The system comprises a client module located at a presentation layer, a standard engine module located at a business logic layer, and a database located at a data layer.The client module serves as an operation interface for a user and is used to receive a management operation of the user.The standard engine module responds to the management operation and performs a management operation on medical clinical data according to a standard data model.The standard data model is constructed based on the SDTM standard and comprises an organization work area, a project data set, a business table, a data row, and a table header field.The database comprises a system table and a project data set composed of one or more business tables.The system table is used to store metadata and global configuration information, and the business table is used to store medical clinical data under a corresponding project.

The invention provides a medical clinical data management system based on an SDTM standard, and relates to the technical field of medical clinical data management.The system comprises a client module located on a presentation layer, a standard engine module located on a business logic layer and a database located on a data layer, the receiving module receives management operation of a user; the standard engine module responds to the management operation and executes the management operation on the medical clinical data according to a standard data model, the standard data model is constructed based on an SDTM standard, and the standard data model comprises an organization working area, a project data set, a business table, a data row and a header field; the database comprises a system table and a project data set composed of one or more business tables, the system table is used for storing metadata and global configuration information, and the business tables are used for storing medical clinical data under corresponding projects.

A computer system includes multiple data sources each configured to store different data for a portion of a distributed workflow integrated application, a data modeling engine, and processor hardware configured to execute instructions to define a standard data model, the standard data model configured to support a workflow, obtain access details for obtaining data from the multiple data sources, set up the data modeling engine to connect to the multiple data sources, based on the obtained access details, prepare a configuration table to return a list of the multiple data sources used in the workflow and an execution order of the multiple data sources, collect, by the data modeling engine, data from the multiple data sources, and prepare a data object using the standard data model and the data collected from the multiple data sources.

Provided in the present application are a disk array card monitoring method, a computer program product, and a device and a medium. The method comprises: in response to a server being powered on, establishing a management component transport protocol network between a baseboard management controller and PCIe devices; identifying whether there is a monitorable disk array card in the PCIe devices included in the management component transport protocol network; in response to the identification that there is a monitorable disk array card in the PCIe devices included in the management component transport protocol network, triggering the baseboard management controller to start a disk array card monitoring thread, and issuing a target monitoring command to the identified monitorable disk array card, wherein the target monitoring command is a command defined on the basis of a communication protocol of a standard data model; and by means of the baseboard management controller, acquiring disk array card data that is fed back by the monitorable disk array card and matches the target monitoring command, so as to realize monitoring of the disk array card. An efficient, real-time, compatible and easily managed disk array card monitoring method is provided.

The invention discloses a low-code Internet of Things configuration method and system, electronic equipment and a storage medium, and relates to the technical field of Internet of Things engineering. The method comprises the steps of receiving an original data packet, and determining a protocol type corresponding to the original data packet; constructing a data processing flow in the graphical configuration interface; transmitting the original data packet into a southbound receiving node, and converting the original data packet into a decimal numerical value; calling a standard data model, mapping the decimal numerical value into a target field, and sending the target field to an Internet of Things platform; receiving a control instruction issued by the Internet of Things platform, and constructing an instruction processing flow; analyzing the control instruction into a control type identifier and a control parameter in a northbound command node through a second starting node; and generating a communication message from the control type identifier and the control parameter through the function node, and sending the communication message to the Internet of Things equipment. By adopting the scheme, the workload of configuration and maintenance of the data processing flow can be reduced.

The invention discloses a full life cycle data governance method and system based on data assets. Comprising a data asset inventory and identification module, a data architecture design and organization module, a data standard formulation and management module, a data model design and management module, a data quality management and auditing module, a data security management module, a data asset panoramic display module and a data standard definition and quality auditing tool module. The data asset checking and identifying module is used for comprehensively checking all data assets in an enterprise and identifying the source, the type, the use condition and the storage mode of the data; the data assets are checked and organized, the functions of data asset panorama, data map, data standard, data model, data quality and the like are provided, effective management of the data assets is achieved, in addition, a data standard definition tool is further provided, visual modeling and configuration rules are provided for quality auditing, and the data assets can be effectively managed. And the data quality is further improved.

The invention relates to a carbon emission management system for a building energy carbon supervision platform, and belongs to the technical field of carbon resource management. The system comprises a data acquisition module, a data processing module, a carbon emission monitoring module, an emission reduction measure making module, a target setting and tracking module and a data display and interaction module. The data acquisition module supports a plurality of communication protocols and standard data models, is used for acquiring energy consumption data, activity level data and unstructured data sources in a building, and has a preliminary data processing capability. According to the invention, the computational statistics, analysis and evaluation and planning and expectation processes of building carbon emission can be communicated, a complete building carbon emission management system is formed, the problems in the prior art are effectively solved, and a comprehensive and accurate carbon emission management service is provided for building energy carbon supervision.

The present application provides a method, computer program product, device and medium for monitoring a disk array card, including building a management component transmission protocol network between a baseboard management controller and a PCIe device in response to powering on a server; identifying whether there is a monitorable disk array card in the PCIe device included in the management component transmission protocol network; in response to identifying that there is a monitorable disk array card in the PCIe device included in the management component transmission protocol network, triggering the baseboard management controller to start a disk array card monitoring thread and issue a target monitoring command to the identified monitorable disk array card, wherein the target monitoring command is a command defined by a communication protocol based on a standard data model; obtaining disk array card data matched with the target monitoring command fed back by the monitorable disk array card through the baseboard management controller to realize monitoring of the disk array card. An efficient, real-time, compatible and easy-to-manage disk array card monitoring method is provided.

The invention provides a data processing method and device, an air conditioning system, a storage medium and a computer program product, and the method comprises the steps that engineering data collected by data collection equipment of the air conditioning system are received, and the engineering data are transmitted through at least one communication protocol; according to a preset standard data model, performing data standardization processing on the engineering data to obtain standard format data corresponding to the engineering data; and providing a data query service based on the standard format data. According to the method and the device, the engineering data can be subjected to standardization processing, format differences of different protocol data are eliminated, the standardization degree of the engineering data is improved, the storage complexity can be reduced, the problems of repeated development of query interfaces, complex query logic and the like caused by non-uniform data formats can be avoided, the data processing complexity is reduced, and the data processing efficiency is improved. The resource consumption and the cost are reduced, and the use experience of a user is improved.

The invention discloses a metering major and power distribution major data sharing method for a transformer area intelligent fusion terminal, and belongs to the technical field of power system data processing. According to the method, a state grid 16 interface and a reference standard MQTT communication interface are uniformly selected, so that the problem of interface incompatibility is solved; the data sharing demand is realized from three aspects of real-time notification of power-off and power-on events, accurate transmission of frozen data and regular pushing of sub-equipment states; defining an equipment registration process and data operation limitation, and standardizing a data model and an equipment state mechanism; data quality is guaranteed through dual registration verification, a hierarchical data model gives consideration to time efficiency and lake chasing, and fine management of equipment states avoids data faults. According to the method, metering and power distribution professional data can be efficiently and accurately shared, the operation and maintenance efficiency and the fault response speed of the power system are improved, and data support is provided for fine management of the power system.

The invention discloses an acquisition and sharing method for automatically identifying data based on metadata, which comprises the following steps: a server preconfigures a metadata warehouse, and the metadata warehouse stores a standard data model; the client monitors the file change under the specified directory, automatically identifies the file type and analyzes the metadata through the metadata analysis engine, and the metadata analysis engine calls a corresponding analyzer according to the file type; the client transmits the analyzed metadata to the server through the API and triggers message transmission; after receiving the message, the server pushes the metadata to the subscriber according to a subscription rule; and the server distributes the metadata to subscribers through the message queue, wherein the subscribers comprise a database system, a data analysis platform and a third-party API (Application Program Interface). Therefore, accurate extraction of structured, semi-structured and binary file metadata can be realized, manual intervention is reduced, data is dynamically pushed to different subscription targets, and heterogeneous data acquisition efficiency and sharing flexibility are remarkably improved.

The invention discloses a large model generation data quality determination method and system. The method comprises the following steps: obtaining generation data and source data of a large model; inputting the generated data into a standard data model to obtain a first quality evaluation grade; obtaining a second quality evaluation grade according to the similar training data of the large model and the corresponding similar generation data; generating a data utility and a third quality evaluation grade of the data according to the similar history; determining a primary data quality grade and risk data of the generated data; after the generated data is put into the application scene, the generated data quality grade is obtained according to the generated data utility and the primary data quality grade; determining abnormal generation data, and adjusting model parameters of the large model according to data defects; the model precision is improved, the generation process of the generated data is improved, the quality of the generated data before being put into the application scene is evaluated, the overall data effectiveness of the generated data is improved, and the data quality of the generated data put into the application scene is guaranteed.

The invention discloses a standardized data asset directory construction method and device, equipment and a program product, and relates to the technical field of data management. At least one target metadata in a database is subjected to word segmentation and translation correction processing to generate words of the at least one target metadata, and the words are subjected to standardized definition based on at least one standard and / or large language model to generate data standards. In this way, automatic generation of data criteria is achieved by employing a natural language processing technique, at least one criterion, and a large model technique. And performing standardization processing on the target metadata based on the data standard to generate standardized metadata, and classifying the standardized metadata to obtain a standardized data asset directory. Compared with the mode of designing the standard data model and carding the data asset catalog through manual operation or a script semi-automatic mode, the standard metadata and the standard data asset catalog are automatically generated based on data standard processing, and the efficiency of generating the standard data asset catalog is improved.

The application provides a data model structure mapping method, system and terminal, which synchronizes and supplements metadata of a to-be-mapped data model structure, generates a corresponding original operation data storage model through the supplemented metadata of the to-be-mapped data model structure, performs a mapping operation on the to-be-mapped data model structure based on a pre-constructed table field mapping large language model, maps the to-be-mapped data model structure to a preset standard data model structure, generates a corresponding data model mapping relationship and a data model mapping script, thereby replacing an artificial mapping mode, reducing mapping time consumption, reducing mapping cost, improving mapping efficiency and accuracy, and solving the technical problems of large artificial workload, high cost, low efficiency, dependence on artificial experience, poor accuracy, reliability and traceability in the prior art of mapping each data model structure by using an artificial mapping mode.

The present invention discloses a conformal circuit, an adaptive conformal circuit printing method and system, relating to the technical field of additive manufacturing of conformal circuits. The adaptive conformal circuit printing method includes: obtaining a standard data model of the conformal circuit; the standard data model includes a standard data model of a carrier workpiece and standard laying points of a circuit to be fabricated; obtaining an actual data model of the carrier workpiece and determining the difference therebetween; generating an actual laying trajectory according to the above difference and the standard laying points; and performing a printing operation based on the actual laying trajectory. The present invention corrects the circuit laying trajectory by using the difference between the actual model and the standard model of the carrier workpiece, so that it conforms to the setting of expected printing parameters, which is beneficial to improving the printing quality; the present invention does not require additional equipment to perform post-processing of adding or subtracting materials on the appearance of the workpiece, reduces the requirement for the accuracy of the workpiece, improves the overall manufacturing efficiency of the conformal circuit, and reduces the manufacturing cost.

The invention discloses an AI-based interface model automatic conversion system, which comprises an AI analysis module for identifying interface model information in a document and converting the interface model information into a fixed format text containing a field name, a field meaning and a data type; the AI mapping module is used for mapping partner interface fields into local internal standard data model fields and assembling a mapping relation in a JSON format; the knowledge base management module is used for storing historically completed model mapping configuration and content results of subsequent AI configuration; the content with incorrect configuration is fed back to the AI mapping module through API (Application Program Interface) calling; the AI integration and calling module is used for integrating a large model by using Spring AI and calling the large model through ChatClient to realize interaction; and converting an AI processing result into a format meeting system requirements by customizing an output model format. According to the invention, rapid and accurate conversion of the interface model can be realized.

Embodiments of the present invention relate to a financial transaction ecosystem. The transaction processing ecosystem includes: multiple data sources; a capture interface and a financial transaction processing system, the financial transaction processing system includes a message bus and multiple processors connected to the message bus, and the multiple processors are configured to perform the following operations: receiving raw data for a payment transaction via the capture interface, wherein the raw data includes a customer instruction; normalizing the raw data into a normalized transaction format based on a standard data model via the capture interface; publishing the normalized transaction format to the message bus via the capture interface; processing the normalized transaction format via a first processor among the multiple processors; and completing the transaction.

The invention relates to an access control method and device for Internet of Things equipment. The method comprises the following steps: receiving a first control request represented by a standardized data model; selecting a translation configuration set corresponding to the identification information from a preloaded configuration index; target bidirectional conversion logic information matched with the target equipment is determined according to the mapping relation, and the first control request is converted into a second control request matched with the non-standard data model through the target bidirectional conversion logic information; sending the second control request to a third-party platform, so that the third-party platform executes a control operation corresponding to the second control request on the target equipment and generates response data; and receiving response data sent by the third-party platform, reversely converting the response data into a first response result represented by the standardized data model based on the mapping relationship, and sending the first response result to an initiator of the first control request. According to the scheme, the access control efficiency of the Internet of Things equipment is improved.

The invention provides a heterogeneous data fusion method and device based on a bridging technology, equipment and a medium, and belongs to the technical field of data processing.The method comprises the steps that source data are obtained, data extraction is conducted on the source data, and metadata in the source data are obtained; aiming at each source field in the metadata, matching the source field with a standard field in a preset standard data model to obtain the standard field matched with the source field; determining a mapping rule based on a matching relationship between the source field and the standard field, and mapping the source data to a standard data model based on the mapping rule to obtain converted source data; and fusing the multi-source heterogeneous data based on the converted source data. According to the heterogeneous data fusion method and device based on the bridging technology, the equipment and the medium provided by the invention, efficient and reliable data fusion can be realized.

The invention mainly relates to the technical field of gateway log management, and provides a gateway function module log management method and system based on a TR-069 protocol in order to solve the problem that a traditional gateway log cannot be remotely, dynamically and finely managed. Log management parameters used for gateway modular log management are newly added, an automatic configuration server sends a log management configuration instruction to a gateway based on the log management parameters, the log level of a specific module is adjusted in real time, log content is collected according to needs, and therefore the powerful remote configuration and file transmission capacity of TR-069 is improved, and the reliability of the RT-069 is improved. And the method is accurately applied to log life cycle management of each functional module in the gateway.

The invention discloses ship component assembly detection equipment, system and method based on artificial intelligence. The system comprises a main control module, an image and data display module, a detection item management module, a model algorithm management module and a detection algorithm training platform. The method comprises the following steps: constructing a standard data set, a standard data model and a training data set of ship components, finely adjusting a data model of a to-be-detected ship component, forming a data set of the to-be-detected ship component, constructing a vector database, adjusting and optimizing an artificial intelligence detection algorithm model, and selecting a new detection item of the to-be-detected ship component. And matching the artificial intelligence detection algorithm model, outputting a detection result, and carrying out quality classification on the to-be-detected ship component according to technical index requirements. According to the invention, machine vision detection and a detection algorithm training platform are combined, efficient tuning and reasoning of a vision detection algorithm are realized, the vision detection precision of ship products is improved, the vision detection cost is reduced, and the accuracy of a measurement result is ensured.

The invention discloses an intelligent fire early warning system and method applied to an electric power system, and relates to the technical field of knowledge maps, and the method comprises the steps: collecting all fire detection points and corresponding sensor equipment in the electric power system, defining an equipment-detection point-event standard data model, and forming a spatio-temporal data lake; constructing a power equipment fault-fire knowledge graph by using the entities and the entity relationship; constructing a space-time correlation clustering mechanism to obtain a comprehensive alarm event, and generating a comprehensive evidence set according to the power equipment fault-fire knowledge graph; calculating an evidence matching result by using a Bayesian network, and outputting a posterior probability to obtain a fault type of the comprehensive alarm event; performing path reasoning according to the fault type in the power equipment fault-fire knowledge graph, outputting all subsequent nodes related to the fault type to form a consequence chain, and automatically generating an interpretable comprehensive alarm report; and calculating a reasoning confidence score, and setting a verification-updating mechanism to update the power equipment fault-fire knowledge graph.