463 results about "Data dictionary" patented technology

The invention discloses an intelligent energy efficiency management system for an LNG dual-fuel power trailing suction dredger, and the system comprises an LNG energy efficiency online intelligent monitoring module which is used for collecting energy efficiency key factor parameters of main energy consumption equipment of the LNG dual-fuel trailing suction dredger, and forming a unified LNG trailing suction dredger energy efficiency data dictionary; the intelligent energy efficiency analysis and evaluation module is used for constructing a working condition recognition model, an energy efficiency index calculation model, a carbon emission calculation model, an energy efficiency grade model and a periodic energy efficiency analysis model according to the energy efficiency data dictionary of the LNG trailing suction dredger to form an energy efficiency analysis and evaluation system; and the dredging operation energy efficiency auxiliary decision-making module is used for constructing a thousand-square soil energy consumption prediction model according to the historical data of the soil texture type, the designed excavation depth, the construction parameters and the fuel consumption, and recommending a dredging construction operation parameter combination through an optimization algorithm. The invention further discloses an intelligent energy efficiency management method for the LNG dual-fuel power trailing suction hopper dredger. The energy efficiency is improved.

The invention relates to an SQL (Structured Query Language) optimization interaction method and device based on a deep learning framework large model. The method comprises the steps that a statement construction model used for generating and optimizing SQL statements is deployed in a target system; in response to a natural language demand input by a user in the target system, identifying key elements in the natural language demand, and verifying whether the key elements exist in an enterprise data platform connected with the target system in combination with the enterprise data dictionary; inputting the target key elements passing the verification into a statement construction model, and generating a target SQL statement and a corresponding performance optimization suggestion; converting the target SQL statement into a service execution step according to the execution logic, and generating service description information; displaying the target SQL statement and the corresponding generation progress to a user in real time in an interactive interface; and displaying performance optimization suggestions and / or business description information matched with the target SQL to a user in an interactive interface to assist the user in realizing SQL operation related to enterprise business.

The invention discloses an intelligent analysis method and device for an unstructured PDF document, equipment and a medium, and relates to the field of document analysis, the method comprises the steps of obtaining a to-be-analyzed PDF document, analyzing page elements in the PDF document, and generating a document metadata dictionary; if the PDF document does not contain the extractable text, converting the PDF document into an image and performing optical character recognition to generate first structured data; if the PDF document contains the extractable text, judging whether the PDF document contains a table or not; if the PDF document does not contain the table, a PDFMiner is adopted to extract the text, and second structured data is generated; if the PDF document contains the table, performing multi-modal feature extraction and feature fusion on the PDF document according to the document metadata dictionary to obtain multi-modal fusion features, and generating third structured data according to the multi-modal fusion features; according to the method and the device, the analysis precision and efficiency of the PDF document are improved.

The invention discloses a multi-modal heterogeneous medical equipment data fusion and decision support method and device, and aims to solve the problems that the fusion precision is low due to space-time semantic difference of medical equipment multi-modal heterogeneous data (equipment operation parameters, clinical records, fault signals and the like), equipment management decisions depend on experience, and standards are not uniform. According to the method, breakthrough is achieved through three-level data alignment of'time-space-semantics', hierarchical fusion of'data level-feature level-decision level ', three-level decision driven by a knowledge graph and dynamic feedback optimization: time alignment uses a dynamic time warping algorithm, space alignment depends on a unified data dictionary, and semantic alignment introduces an attention mechanism; the feature level fusion quantifies the feature support degree based on the D-S evidence theory; the decision-making layer constructs a'rule-case-prediction 'three-level system, and combines cosine similarity retrieval and information entropy quantification uncertainty. The method and device can support medical equipment maintenance, clinical diagnosis and treatment and other scenes, and the medical service standardization level and the equipment management efficiency are improved.

The invention relates to a low-code visualization optimization method and system for power credential development, and the method comprises the following steps: S1, obtaining data in a credential environment, recognizing the interface difference and performance bottleneck points between components through a compatibility test matrix, and building a standardized adaptive interface specification; s2, obtaining a standardized business object model based on the standardized adaptive interface specification; based on the business object model, defining attributes, relationships and constraint rules of each business entity, and forming a data dictionary and an interface specification special for the electric power field; s3, on the basis of the data dictionary and the interface specification special for the power field, constructing a DSL (field specific language) of power visualization; s4, a dragging type interactive design is adopted, and the visual operation is converted into a DSL configuration file; and S5, automatically converting the DSL configuration into a React or Vue component code through a code generation engine, and carrying out compatibility optimization on the kernel of the creative browser. According to the invention, the power credential development efficiency is effectively improved.

A system (100) for adaptive data blending across heterogeneous BI platforms for real-time decision making, comprising: (a) a data source abstraction module configured to establish standardised and secure connections with several different Business Intelligence (BI) platforms and convert their native data structures into a unified intermediate schema; (b) a real-time data ingestion and synchronisation module operable to continuously monitor and retrieve data updates from the BI platforms using event-driven mechanisms and configurable synchronisation policies; c) an adaptive data mapping and transformation module designed to intelligently harmonize, adapt, and semantically translate disparate data formats using rule-based logic and AI-assisted schema mapping; (d) a semantic context and metadata management module configured to maintain a unified data dictionary, track data sequence and maintain semantic consistency across platforms; (e) a cross-platform query orchestration engine designed to decompose common user queries, translate them into platform-specific query languages, execute them across the relevant BI platforms, and aggregate the results into a coherent output; (f) a decision intelligence and recommendation module that analyses the mixed data to generate real-time insights, alerts and contextual recommendations for decision support; and (g) a security, governance and compliance module configured to enforce access controls, maintain audit trails and ensure compliance with data protection regulations; h) the system provides seamless, real-time and secure data blending to enable consistent analytics and decision-making across heterogeneous BI environments.

The invention provides an ecological environment field-oriented data quality detection method and system based on a large model and a storage medium, and the method comprises the steps: 1, connecting a database, and constructing a plurality of knowledge bases according to the planning of a data governance library and a data dictionary; 2, formulating a general rule, an ecological environment field special rule and a user-defined rule; 3, checking whether the rule is reasonable and effective or not through a prompt template special for a large model in combination with the data consanguinity and the data rule; 4, creating a corresponding scheduling task list according to the current effective data quality rule and the updating frequency; 5, checking the quality problem of the collected data through a prompt template special for a large model, and outputting an analysis report; and step 6, generating improvement suggestions for the problem points found in the step 5 through a large model special prompt template in combination with the situation and reason of the problem. The method has the beneficial effect that the scientificity and effectiveness of rule checking are improved.

The invention relates to the field of data processing, and discloses a data dictionary table configuration method and device, equipment and a medium, and the method comprises the steps: obtaining an associated dictionary and table field configuration relation table in a dictionary table from a database according to the table name of an input data list, traversing the dictionary and table field configuration relation table, obtaining a dictionary code configured by each dictionary, and storing the dictionary code in the database; obtaining a dictionary value object list from a database according to the dictionary code, traversing each data item of the data list, extracting a field corresponding to the data item and an associated field value, traversing the dictionary value object list, determining a matched dictionary key according to the field value, mapping a dictionary value associated with the dictionary key, and putting the dictionary value into the data item; according to the data dictionary table management method and device, the list after dictionary escape is generated and output, and the technical problems that an existing data dictionary table management tool is often an independent product or tool and lacks deep integration with other data management, integration and development tools, so that the workload is huge, and the efficiency is low are solved.

The invention discloses an ontology-based data space dynamic access control method and device, and a medium. The method comprises the following steps: constructing a data dictionary connector and a basic connector; establishing a semantic mapping relationship between the global ontology and the local ontology to obtain first access mapping; establishing data field mapping between the data source and the local ontology to obtain second access mapping; performing policy relationship construction on the second access mapping to establish a policy relationship between the data source and the local ontology; obtaining a data request, and determining an accessible field corresponding to the identity of the requester through data access control based on the data request and the first access mapping; carrying out strategy relation analysis on the accessible field to obtain an access query statement; and according to the access query statement, obtaining fine-grained access data through virtual mapping knowledge domain mapping. According to the method, the technical problem that a centralized access control strategy is difficult to respond to the authority change demand in multi-organization cooperation in time is solved.

The invention provides a method and device for extracting report data based on a large model technology, and relates to the field of batch data processing, and the method comprises the steps: carrying out the intelligent table splitting processing of obtained report image data through a pre-constructed intelligent report prompt word project, and obtaining an effective target report; carrying out metadata dynamic extraction processing on the effective target report by utilizing a pre-constructed data extraction cue word project to obtain a report label; performing multi-dimensional data integration processing on the effective target report by utilizing a pre-constructed data integration prompt word project and the report label to obtain a report data dictionary; and performing subject semantic mapping on the effective target report according to the report data dictionary to obtain a required data report. According to the method, a complete automatic processing flow can be constructed, and intelligent report splitting, metadata dynamic extraction, multi-dimensional data integration, subject semantic mapping and the like are realized by combining an optical symbol recognition technology with a large model technology.

The invention provides a data dictionary mapping method and device based on annotations, electronic equipment and a medium, and relates to the field of data processing.The method comprises the steps that whether a data query request obtained through a query interface in a Spring Boot framework carries interface annotations or not is determined; if yes, processing the data query request, and determining a data structure type of data queried by the data query request in a data dictionary; based on the data structure type, processing the data query request, and determining at least one return identifier and an identifier attribute corresponding to the return identifier; and if the identifier attribute comprises the attribute annotation, determining target data corresponding to the return identifier according to a corresponding relationship between different identifiers and different data in a data dictionary. According to the method, dictionary mapping can be automatically realized in an annotation mode, and the manual coding quantity is reduced, so that the development efficiency is improved; and the dictionary mapping relation is separated from the business code, so that centralized management and maintenance are facilitated, and the maintainability of the code is enhanced.

The invention discloses a standardized management method for bank data, belonging to the field of bank data management. A standardized management method for bank data includes the following steps: S10. Extracting a root word library; S20. Combing a business word library; S30. Standardizing the Chinese standard naming of fields; S40. Establishing a mapping relationship between the original Chinese name of the field and the standardized naming; S50. Forming an enterprise-level standardized data dictionary; It can promote enterprise-level data homology management, ensure the consistency and sharing of data across systems and platforms, and make data easy to identify, reference and share by establishing a data standard management system, so as to improve the accuracy and availability of data.

The invention discloses a comprehensive traffic infrastructure spatial database construction method based on multi-source data. The method comprises the following steps: S1, collecting road, water transportation and aviation traffic infrastructure data; s2, establishing a data dictionary and a metadata standard according to the specification, and formulating a sub-library strategy and an interface specification; s3, carrying out standardization processing on the attribute data, the satellite image data and the space vector data; s4, formulating a spatial data fragmentation strategy based on a geographic area, constructing a full-text index and spatial index system, and optimizing storage and query; s5, carrying out collaborative management on the K-V storage and the MySQL (Structured Query Language), the PostGIS (Geographic Information System), the MongoDB, the ElasticSearch and the K-V storage; s6, designing an expansion mechanism in the storage layer, the retrieval layer and the calculation layer; and S7, establishing a unified retrieval platform based on the database, fusing grid and vector data, and supporting spatial visualization and semantic retrieval. The method improves the data fusion, retrieval and expansion capabilities of the traffic infrastructure, and is suitable for the construction of a comprehensive traffic information platform.

In one aspect, a computerized method for document extraction workflow for unstructured documents includes the steps of implementing a text mining operation on a set of digital documents the incoming documents. This is done by defining a document type of each digital document. Based on the document type, the method defines a set of data dictionaries to extract any data from each digital document. The method uses the defined set of data dictionaries to extract any data from each digital document.

Disclosed in the present invention is an intelligent energy efficiency management system for an LNG dual-fuel powered trailing suction hopper dredger, comprising: an online intelligent LNG energy efficiency monitoring module, configured to collect energy efficiency key factor parameters of a main energy consumption device of the LNG dual-fuel powered trailing suction hopper dredger to form a unified LNG powered trailing suction hopper dredger energy efficiency data dictionary; an intelligent energy efficiency analysis and evaluation module, configured to construct, on the basis of the LNG powered trailing suction hopper dredger energy efficiency data dictionary, an operating condition identification model, an energy efficiency indicator calculation model, a carbon emission calculation model, an energy efficiency level model and a periodic energy efficiency analysis model to form an energy efficiency analysis and evaluation system; and a dredging operation energy efficiency auxiliary decision-making module, configured to construct an energy consumption prediction model for ten-thousand cubic meters of soil on the basis of soil type, design dredging depth, construction parameters and historical fuel consumption data, and recommending a dredging construction operation parameter combination by means of an optimization algorithm. Also disclosed is an intelligent energy efficiency management method for an LNG dual-fuel powered trailing suction hopper dredger. The present invention increases the energy efficiency.

The invention relates to an audit data quality modeling analysis method and equipment. The method comprises the following steps: acquiring a data dictionary of a target database; constructing an audit data rule base; marking a source attribute to which the data type information belongs; identifying named entity information of the to-be-evaluated audit data element, and performing format screening, duplicate checking and key field extraction on the to-be-evaluated audit data element to obtain key information; constructing a data set; generating a quality modeling analysis result of each dimension index; calculating the weight of each dimension index; and constructing an audit data quality modeling analysis model, and calculating to obtain an audit data quality modeling analysis result. The auditing data element quality modeling analysis method is based on the auditing data quality modeling analysis model, combines the NLP technology, the OCR technology, the MD5 algorithm and the two-way long-short-term memory network, comprehensively considers the source attribute, the file structure information, the named entity information, the key information and other factors of the auditing data element, and effectively improves the auditing data element quality modeling analysis effect.

A system incorporates a platform for analysis of electronic files relating to an old insurance policy using computer protocols such as visual analytics tools to identify attributes of the insurance policy. A policy migration process automates typically complex custom migrations in a methodical workflow employing a simplified metrics-driven process. Layers of a data migration and policy transformation workflow include source policies layer, normalization layer, and target policies layer. The normalization layer includes an extraction, transformation, and loading (ETL) engine. The ETL engine inputs configuration files that incorporate mapping rules for mapping source policies to normalized values within a data dictionary. Systems of the disclosure incorporate built-in personas that cater migration features to a specific set of migration execution team roles such as policy edit and QA. A cloud-based policy migration model includes a UI for inputs by migration team members, and back end components including the ETL engine.

The invention discloses a data processing method and system based on an electronic component product data dictionary. The data processing method comprises the following steps: obtaining product data of an electronic component product to be processed; and calling a preset electronic component data dictionary tool. And inputting the basic information of the product into the electronic component data dictionary tool for matching, and obtaining a plurality of first matching results which are output by the electronic component data dictionary tool and are matched with the basic information of the product. And matching the parameter information with the standard data of the plurality of first matching results, and outputting a plurality of second matching results matched with the parameter information. And matching the product picture with the standard data of the plurality of second matching results, and outputting a final matching result matched with the product picture. And replacing the product data of the electronic component product with the standard data of the standard electronic component corresponding to the final matching result.

The invention relates to the technical field of forest resource monitoring, in particular to a multi-level forest resource monitoring system and method. The system comprises a system operation and maintenance subsystem which collects forest resource data, establishes a forest resource monitoring data cloud platform, and provides account registration, login and authority management operation for users of all levels; the verification data maintenance subsystem is used for generating a change verification pattern spot according to the forest resource data; the verification pattern spot updating subsystem is used for updating the generated changed verification pattern spots; and the national achievement data subsystem is used for sequentially performing change verification pattern spot verification after each level is updated, summarizing verification results, and then performing database structure and data dictionary conversion to generate forest and grass wet pattern spot monitoring national achievements. According to the multi-level forest resource monitoring method applied to the system provided by the invention, through the multi-level quality supervision system, the problem of lack of data quality supervision under an existing monitoring system can be effectively solved, and full-process management is realized.

Embodiments of the present disclosure provide large language models (LLMs) and large multimodal models (LMMs) for managing imaging data. An example method includes extracting a database schema and a data dictionary associated with a medical imaging database that maintains medical images and non-image data associated with a plurality of clinical studies; extracting object attributes associated with the medical images that are descriptive of the medical images and corresponding studies; and training an LLM to generate search queries from natural language requests based on a training dataset that includes: the database schema, the data dictionary, the object attributes, a prompt template including partial instructions for the LLM, and a plurality of example natural language requests and corresponding expected search queries. The trained LLM can then be used to generate a first search query from a first natural language request.

The invention relates to a dynamic data and page generation mode based on configuration. Comprising the steps of 1, sorting a data dictionary, and completing corresponding data model and field definition processing; 2, a data model is defined, and a system background creates a corresponding form in a relational database based on the defined data model to serve as a data storage basis; 3, defining a business model which is related to an actual business scene and is a basis of business scene operation; 4, setting a data block as a basis of Form or List; 5, defining a page; step 6, menu definition and page display; and 7, after the definition of the steps is completed and the user logs in the system, accessing and operating page data corresponding to the menu. The technical problems that in an existing technical scheme, a static page is low in reusability, low in development efficiency, low in expandability, weak in deployment capacity, high in development threshold, low in related personnel participation degree and incapable of fully participating in development, operation and maintenance, and consequently human resources are wasted are solved.

The invention discloses a structured data-oriented multi-source feature modeling and multi-granularity intelligent grading and classifying method, and belongs to the technical field of computers. The method comprises the following steps: inputting standardized data to be graded and classified into a currently trained coarse-grained classification model for classification; determining whether the to-be-graded and classified data is subjected to manual auditing or is not subjected to manual auditing; based on a predefined sensitive data dictionary and the final rough classification result, determining a classification result of the data to be graded and classified, and taking the classification result as a fine classification result; using the updated training sample set to perform enhancement training on the currently trained coarseness classification model, and updating the currently trained coarseness classification model based on an enhancement training result; and performing attribution analysis on the fine classification result. According to the method, a set of complete and efficient structured data multi-granularity intelligent grading classification is formed.

The invention relates to the technical field of data dictionaries, in particular to a data dictionary implementation method and system based on standards or technical documents and a medium, which comprise data classification, data standards, data elements and data sets, and solves the problems of different standards, standard missing and the like of multi-source data fusion in the prior art. Standardized and normalized management of contents such as standard texts, terms, metadata, code sets, data elements, data sets, data models and data rules is realized by taking'data element fields' as a core, and a set of national transverse and longitudinal integrated standard data dictionary system is gradually formed, so that the complexity and the treatment cost of historical stock data treatment are reduced; the standardization and standardization level of a new system and data in the future is improved, and credible data with higher quality and lower cost is provided in public data authorization operation in the future.

Systems, computer program products, and methods are described herein for generating and mapping unicode for cross-distributed network data transmissions. The present disclosure is configured to identify a cross-distributed network data transmission comprising source ledger code; generate a core schema for a destination ledger, wherein the destination ledger is based on data of the cross-distributed network data transmission; generate, by a ledger transformation module, a data dictionary, wherein the ledger transformation module receives ledger code from a large language model (LLM); generate code mapping instructions for the cross-distributed network data transmission based on the core schema for the destination ledger; convert the source ledger code to a unicode; receive, by a receiver schema mapping module, the unicode and the code mapping instructions; and generate, by the receiver schema mapping module, an intermediary ledger comprising the unicode and based on the code mapping instructions.

The present disclosure presents technology designed to streamline the analysis of log data in semiconductor fabrication environments. Semiconductor fabrication environments are often characterized by large amounts of diverse log data generated across various subsystems, with each subsystem producing its unique log data format due to different hardware and software components. The present technology addresses this by converting the multitude of raw log data formats into a single, timestamp sorted data table, which eases the task of log analysis, facilitating the extraction of key events and the reconstruction of the processing sequence. Following the conversion, the technology can sift through the data for predefined patterns and significant events, generating a dictionary of critical data over time. Visualization of this data enables tracking of the fabrication process or display of process steps via a graphical user interface, thus boosting problem detection and resolution.

The invention relates to the technical field of network security, in particular to an information big data intelligent acquisition management system and method. The method comprises the following steps of obtaining an information big data warehouse, and performing data dictionary feature extraction according to the information big data warehouse so as to obtain data dictionary data; carrying out maintenance according to the data dictionary data so as to obtain data dictionary maintenance data; obtaining switch equipment data, and carrying out network topology structure analysis according to the switch equipment data so as to obtain switch equipment network topology structure data; performing transmission anomaly analysis according to the network topology structure data of the switch equipment so as to obtain network transmission anomaly topology structure data; carrying out traffic statistics according to the switch equipment data so as to obtain switch traffic data; and carrying out network security threat analysis according to the switch flow data so as to obtain network security threat data. According to the invention, the network security threat identification efficiency is improved based on the network security technology.

The invention discloses a method for generating a front-end form for on-orbit management of a spacecraft and a component library, and the method comprises the steps: responding to a plug-in introduced by a user, and generating an initial form; in response to the spaceflight function type of the user, importing a data dictionary corresponding to the spaceflight function type, and configuring the data dictionary of the spaceflight function type according to the initial form so as to import a digital dictionary template; and editing the configured data dictionary according to the data dictionary template, and applying the edited data dictionary to the initial form, thereby performing field rendering and data verification on the initial form according to the digital dictionary, and generating a front-end form. The technical problems that in the prior art, an existing front-end frame is high in limitation, higher data processing capacity cannot be achieved in the aerospace field, and more complex data representation forms and interaction modes cannot be expressed are solved.

The invention relates to a production process-oriented data semantic model construction method and a data storage method thereof, and relates to the field of data modeling. Under the condition that enterprise production needs multi-system collaborative data calling, data of each system is collected, the collected data comprises metadata and a data ontology, mapping processing is conducted on the collected metadata information through a data dictionary, and semantic description is unified; meanwhile, endowing the data ontology with a unique identifier, and mapping the data into a data semantic model according to a data dictionary; the semantic model is divided into a data description layer, a data state description layer and a data context description layer from top to bottom; uniform data semantic modeling is performed on the operation data of the industrial internet, so that massive heterogeneous operation data can be described and managed in a unified manner, and the problem that data between different systems or between the system and equipment is not intercommunicated is solved.

The invention relates to the technical field of gastrointestinal tumor chemotherapy risk assessment, and particularly discloses a gastrointestinal tumor chemotherapy risk scoring model and a construction method thereof, and the method comprises the steps: obtaining the individualized feature data and basic physiological data of a historical patient, and constructing an individualized difference library with a unique ID, and a core influence library; the method comprises the following steps: standardizing and coding double-library data, synchronizing clinical data containing treatment effect codes, forming a data dictionary, acquiring and coding current gastrointestinal tumor patient data, and matching the data dictionary to judge individual difference abnormity; when the first data set is abnormal, constructing a first data set, screening core independent variables through Logistic regression, and constructing a scoring model by using an LSTM (Long Short Term Memory) model; when no abnormity exists, redundant codes are removed to obtain a second data set, and modeling is conducted through the same method. Through double-library linkage and scene-divided modeling, the three-level toxicity risk prediction precision is improved, data support is provided for clinical chemotherapy dose adjustment and toxicity prevention, and the risk of excessive treatment or insufficient treatment is reduced.

The invention relates to an audit data value evaluation method and equipment. The method comprises the following steps: constructing an audit data rule base; marking a source attribute to which the data type information belongs; constructing a data value to-be-evaluated set; and based on the audit data value evaluation system, matching and comparing the data value to-be-evaluated set with the rules of the corresponding types in the audit data rule base to obtain the score of each influence factor, calculating the weight of each influence factor, and calculating to obtain an audit data value evaluation result. When the auditing data rule base is constructed, the data dictionary, the national standard, the local standard, the industrial standard and the expert knowledge base are comprehensively considered, subjective evaluation and objective evaluation are fused, and the auditing data value is evaluated based on the four influence factors of the data quality, the data endogenous value, the data application value and the market value. And an evaluation result with relatively high accuracy and comprehensiveness is obtained.