52 results about "Data documentation" patented technology

The invention discloses a SysMLv2.0 model library multiplexing method based on definition driving. The method comprises the following steps: S1, constructing a model definition library containing structures, behaviors, interfaces, constraints and semantic attributes; s2, analyzing a modeling demand, identifying a to-be-multiplexed module, and determining a definition unit identifier; s3, calling the target definition unit and inserting the target definition unit into the current model in a reference mode; s4, performing context adaptation to generate a binding relationship; s5, setting a version identification mechanism, and establishing a version mapping index between the use unit and the definition unit; s6, registering a reference relationship and an adaptation rule, and generating a modeling metadata document; s7, automatically updating the content of the use unit according to the metadata document in the modeling process; and S8, executing consistency verification after use unit integration is completed, and ensuring correct interface connection, conflict-free constraint logic and complete version binding. According to the method, a definition-driven model system is constructed, and cross-context semantic multiplexing and version consistency modeling management are realized.

The invention discloses a bridge engineering knowledge base construction method and system, and the method comprises the steps: classifying the multi-modal data of each project in the bridge engineering field according to the data type, carrying out the structural conversion, forming a structural data document corresponding to each project, and constructing a modular parallel workflow; the data types comprise texts, images and voices; splitting each structured data document into document segments according to semantic features, and generating document segment vectors by using an embedded model; forming double indexes by using all document fragment vectors and an entity-relationship-attribute triple of the bridge knowledge graph, and constructing a structured data document library-document fragment vector library-knowledge graph three-layer knowledge base; and training a bridge large model based on implicit rule coding, explicit engineering constraint and a rule activation mechanism, and embedding the trained bridge large model into the three-layer knowledge base to complete construction of the bridge engineering knowledge base. Data are fully utilized, the coverage range of the knowledge base is expanded, a multi-dimensional evidence source is provided, and question and answer credibility is improved.

Techniques for webhook registration are disclosed, including: receiving, by an integration platform, a metadata document associated with a producer, wherein the metadata document describes (a) a set of conditions for identifying webhook validation requests and (b) a set of one or more operations for validating webhook validation requests; instantiating, by the integration platform, an adapter based on the metadata document; determining, by the integration platform using the adapter, that a request from a producer satisfies the set of conditions for identifying webhook validation requests; responsive to determining that the validation request satisfies the set of conditions for identifying webhook validation requests: executing the set of one or more operations for validating webhook validation requests, to validate a registration of a consumer with the producer.

The invention relates to the technical field of industrial data management, in particular to a supply chain data real-time integration processing method and system based on multi-source heterogeneous data, and the method comprises the steps: obtaining an external compliance data document, calling a document layout analysis model based on a multi-modal converter, extracting a text semantic vector, fusing the text semantic vector with a two-dimensional space coordinate feature to generate a composite index key, and carrying out the real-time integration processing of the supply chain data. Executing clustering analysis to recognize the text blocks and generating structured metadata; carrying out discretization processing on the business transaction data flow, and constructing an associated database with production environment and logistics data as attributes; executing cross-modal entity alignment by using the structured metadata, and establishing a bidirectional pointer link between the unstructured document index and the associated database; receiving a query vector, executing a recursive traversal algorithm based on a bidirectional pointer link, calculating a cascade influence probability as a correlation sorting score, and outputting a retrieval result; through multi-modal feature fusion and cross-modal entity alignment, deep integration and risk linkage retrieval of supply chain heterogeneous data are realized.

The invention belongs to the technical field of building information models (BIM) and digital construction, and discloses a building decoration suspended ceiling design method and system based on a BIM technology. The method comprises the following steps: acquiring main body structure data through laser scanning, reconstructing a three-dimensional model, and extracting connecting piece coordinates to generate a standardized data document; total station calibration and welding positioning are conducted on the basis of the coordinate data, and keel installation leveling and aluminum plate preprocessing are completed; and precise embedding of the aluminum plates is achieved by planning the installation sequence, and finally quality acceptance is conducted and fed back to the BIM model to form closed-loop optimization. According to the method, dynamic modeling driven by curvature characteristics and a differential geometric optimization algorithm are adopted, the problem of accumulated positioning errors of the suspended ceiling connecting piece under a complex building structure is solved, millimeter-level construction precision is achieved, construction efficiency is improved, material waste is reduced, and the method is particularly suitable for decorative suspended ceiling engineering of a large-span cantilever structure.

Data processing device for the recognition of handwritten characters, comprising: an image acquisition interface for receiving image data of a handwritten document, a document structure unit for determining a handwritten area and a document field assigned to this area, a writing profile generation unit for generating a document-related writing profile from characters whose recognition value reaches a predetermined first threshold, a character evaluation unit for determining at least one character candidate based on the image data, the document field and the writing profile, an uncertainty determination unit for determining an image sub-area if a character candidate's recognition value is below a predetermined second threshold.a post-capture control unit for generating a control signal for re-capturing the specific image area under different recording conditions compared to the first image capture, and a fusion unit for combining the image data of the first image capture and the re-capture for the final determination of the handwritten character.

The application provides a method and system for updating multiple indexes, an electronic device and a storage medium, and the method comprises the following steps: an index updating node of an index updating system submits a constructed target data document to a search engine node of the index updating system; wherein the target data document comprises an index identifier, and the index identifier comprises a document identifier and a global identifier; the search engine node searches a local data document according to the document identifier, and if the local data document is found, it is judged whether the global identifier of the target data document is greater than the global identifier of the local data document, and if yes, the local data document is updated with the target data document. According to the scheme, the global identifier is constructed, the phenomenon that the data is covered and repeatedly updated in the updating process is effectively avoided, and resource waste is reduced.

A system, apparatus, method, and non-transitory computer readable medium for providing an omni-channel content mapper framework may include a server caused to receive a content request from at least one user device, the content request including a unique content identifier associated with the requested content and desired content type information corresponding to the requested content, determine a desired content mapper (CM) plugin corresponding to the desired content type information from a plurality of CM plugins, obtain content data corresponding to the unique content identifier from a content database, generate an application-agnostic structured data document using the determined content mapper plugin, the application-agnostic structured data document including the obtained content data, and transmit the application-agnostic structured data document to the at least one user device in response to the content request.

This invention belongs to the field of underwater acoustic engineering technology, and specifically relates to a method for cleaning and organizing multi-element heterogeneous sonar data. It includes: classifying multi-element heterogeneous sonar data according to storage format into audio data, image data, document data, and video data; classifying sonar data in each storage format into active sonar data and passive sonar data according to operating mode; classifying sonar data in each operating mode into array carrying method into bow hull mounting, stern towed mounting, side mounting, dangling mounting, and sonar buoy mounting; and sequentially performing quality assessment and screening, data preprocessing and cleaning, data organization and annotation, quality verification and storage, and archiving and distribution for each sub-category of sonar data in each storage format. This invention, through systematic cleaning, effectively removes redundant and erroneous data, improves data consistency and accuracy, saves storage space, and enhances data processing efficiency.

A problem extraction and answer generation method, device, medium and equipment are disclosed, which segment and vectorize text information in a bank data document to obtain multiple text vectors of each page; summarize each text vector to obtain multiple target summaries; use a preset question format for each target summary and input the target summary into a natural language processing model to obtain multiple initial questions and answers; and remove duplicates and sort the initial questions and answers to output a target question and answer corresponding to each target summary. The present application can analyze the bank data document, automatically generate relevant questions and answers, help users quickly understand the document content, and timely grasp industry information dynamics.

The application discloses a kind of non-relational database cipher data retrieval methods, comprising: step one, obtaining the plaintext retrieval request that data user submits to database system, extract the plaintext keyword in the plaintext retrieval request;Step two, according to the plaintext keyword according to the proposed cipher data retrieval algorithm based on key characteristic value, generates cipher retrieval characteristic value by feedback reinforcement training learning, and executes cipher data retrieval in database to obtain cipher data;Its step three, the obtained cipher data is decrypted operation to restore plaintext data document.The application has the advantages that the encrypted data in non-relational database can be retrieved, it is convenient for user to find encrypted data in database, and can support non-relational database field-level encrypted data retrieval.

The invention discloses a structured data storage method based on incremental synchronization. The method comprises the steps of obtaining change data related to a data change event and associated information to which the change data belongs by responding to the data change event of at least one database; converting the change data into a data document which can be retrieved from the vector database, and determining a document identifier of the data document and document content written into the data document based on the associated information; according to the change data, document index information used for retrieving the data document is determined; wherein the document index information comprises sparse features, vector features and metadata features corresponding to the change data. According to the method and the device, the change data is synchronously updated to the corresponding vector database, so that computing resources are saved, the real-time performance of data synchronization is improved, and feedback response corresponding to the latest data is conveniently given subsequently based on the index information in the vector database.

The invention discloses a clinical test data intelligent processing method and device, equipment and a medium, and the method comprises the steps: generating a verification value through extracting a key field of a subject, comparing and triggering cross-system data updating, generating an audit log based on a document operation event, and driving document synchronization, collecting the context of a writing interface to generate a semantic vector, matching historical fragments to complete report content, analyzing the content by using an intelligent verification engine to generate a correction suggestion, and predicting a notification time point by combining service conditions and user behaviors to trigger an early warning message so as to realize automatic processing of test data, documents and reports. Through linkage data synchronization, document updating, content generation and task notification, the information consistency in the test process is improved, the generation efficiency is improved, and reminding is timely, so that the clinical test collaboration quality and execution efficiency are enhanced.

The invention relates to a flight test telemetering data processing method, which belongs to the technical field of flight test data processing, and comprises the following steps of: firstly, loading and preprocessing a flight test telemetering data file, drawing a curve of a measurement value of each measurement channel along with time change, and outputting a resolving data file; specifying an interpolation method and a time sequence, and outputting an interpolation table; the time sequence of the interpolation table is converted into a monotone sequence, preprocessing is carried out, timestamp verification is carried out, outlier data are marked, 3 sigma verification is carried out, abnormal data are eliminated, interpolation is carried out on the eliminated abnormal point data according to previous and later data, and recalculation is carried out on the obtained interpolation table according to existing telemetry data; a data cleaning rule is given, and a result is output after data cleaning. According to the method, accurate synchronization of the time sequence of the heterogeneous system can be realized, multi-mode abnormal data cleaning is supported, and the defects of high-frequency information loss, poor abnormal value detection adaptability and low processing efficiency during multi-source telemetry data time sequence alignment in the prior art are overcome.

Systems and methods of the present disclosure include processors configured to perform steps to receive a tag data from a contactless communication tag, execute an applet associated with the contactless communication tag, and receive document data associated with an applet-linked document, including a document identifier, a document content data, a document recipient identifier, and a document sender identifier. The processors are configured to further generate an account link linking the document data to a user account associated with the document sender, generate a document entry in the user account based on the account link, generate a webpage from the applet to record the document data such that the document data is accessible upon subsequent reception of the contactless radio signal data, and display the document data and a current status of the applet-linked document on a display of the computing device associated with the contactless reader.

A reference map generator clusters, into a semantic map, a set of data documents selected according to at least one criterion and associated with a medical diagnosis. A parser generates an enumeration of measurements occurring in the set of data documents. A representation generator generates for each measurement in the enumeration, a sparse distributed representation (SDR). The method includes storing, by a processor on a second computing device, in each of a plurality of memory cells on the second computing device, one of the generated SDRs. A diagnosis support module receives a document comprising a plurality of measurements. The representation generator generates a compound SDR for the document. Each of the plurality of bitwise comparison circuits determine a level of overlap between the compound SDR and the stored generated SDR. The diagnosis support module provides an identification of the medical diagnosis associated with a stored SDR.

The invention discloses a commodity data matching method, electronic equipment and a storage medium, and relates to the technical field of commodity search. The method comprises the following steps: acquiring text information input by a user, and determining a reasonable degree and a questioning tendency of the text information; determining a to-be-matched document category identifier according to the reasonable degree and the questioning tendency; determining a commodity data document associated with the text information as a first type document according to the to-be-matched document category identifier and a preset matching threshold, and generating a first commodity data document set; matching second type documents associated with the text information in all commodity data documents according to keywords contained in the text information to generate a second commodity data document set; and merging the first type of documents in the first commodity data document set and the second type of documents in the second commodity data document set to obtain commodity data matched with the text information. According to the method, the commodity data matched with the text information is comprehensively retrieved, and the accuracy of retrieving the commodity data is improved.

The present invention relates to the field of information retrieval technology and proposes a privacy information retrieval system and method based on blockchain and function secret sharing. The system encrypts data documents and extracts keywords; generates a Bloom filter index table between keywords and documents based on keyword trapdoors; uploads the encrypted file and the Bloom filter index table to a DSSP terminal, transmits the encrypted file hash value and the Bloom filter index table to a blockchain for on-chain storage; stores the encrypted file off-chain in distributed storage nodes according to the divided shares; and calculates the data of each column of the Bloom filter index table through consensus on the blockchain to obtain a message verification code, which is stored on the blockchain. The present invention constructs an index through symmetric encryption and Bloom filters, and combines blockchain evidence storage with FSS distributed storage to achieve data privacy protection and index credibility. Through verification and anti-tampering, the problem of the existing FSS lacking verification and audit mechanisms is solved.

The application provides a car data document classification method and device, equipment and medium, relates to the technical field of data document classification, and obtains a text feature vector, a similarity feature vector and an initial classification feature vector corresponding to a to-be-classified car data document; generates a fusion classification feature vector corresponding to the to-be-classified car data document according to the text feature vector, the similarity feature vector and the initial classification feature vector; inputs the fusion classification feature vector and the similarity feature vector into a preset document classification model obtained by training a multi-Fisher classifier according to the fusion classification feature vectors of historical car data documents and corresponding classification labels; and obtains a classification result of the to-be-classified car data document according to an output result of the preset document classification model. The car data document classification model of the multi-classifier fusion is constructed, so that the generalization ability of the traditional classification model is improved, and the classification precision and efficiency are improved.

The application relates to the technical field of information processing, and discloses a metadata-based document rapid labeling and retrieval method and system, which comprises the following steps: creating a metadata extraction task, a task execution strategy and a storage strategy through a metadata extraction module, and extracting a target document based on the task execution strategy, the metadata extraction task and the storage strategy to obtain a first metadata document; using a metadata labeling module to extract structured information from the first metadata document to obtain a second metadata document, and labeling the second metadata document based on the association between the second metadata document and the target document to obtain a labeled document; using a metadata retrieval module to construct a query index based on the metadata and the labeled document, quickly positioning the query index through a user input query condition, and querying information in the target document based on the query index; and the application solves the problems that the existing automatic document retrieval has a slow information processing speed and low data processing accuracy.

The invention relates to the technical field of data storage, in particular to an index expansion method and device, electronic equipment, a storage medium and a program product.The index expansion method comprises the steps that whether index expansion is triggered or not is determined based on resource indexes of an elastic retrieval ES cluster; when the index expansion is triggered, automatically creating a new index based on a preset configuration rule; writing all newly generated data documents into an old index and a new index of the ES cluster at the same time; obtaining cold and hot scores of all historical data documents in the old index; based on the cold and hot scores of all the historical data documents, determining migration priorities of all the historical data documents; and writing each historical data document into a new index based on the migration priority of each historical data document. According to the method and the device, stable read-write performance of the ES cluster is guaranteed while capacity expansion is carried out, the influence of capacity expansion on business services is avoided, and the data storage and retrieval efficiency of the new index can be optimized through hierarchical migration of cold and hot data.

The invention discloses a method, a system and a device for generating an emergency scheduling strategy of a battery swap station, and a processor. The method comprises the steps that a data document is acquired, the data document at least comprises electric power data of the battery swap station and traffic data of a road where the battery swap station is located, the electric power data is used for representing the operation state of the battery swap station, and the traffic data is used for representing the traffic state of the road; utilizing a data extraction model to extract various kinds of entity information from the data document, and determining relation information among the various kinds of entity information; based on the relationship information and the entity information, constructing knowledge graph information corresponding to the data document; and in response to an emergency scheduling instruction, generating an emergency scheduling strategy of the battery swap station based on the knowledge graph information, the emergency scheduling instruction comprising emergency scheduling demand information of the battery swap station, and the emergency scheduling demand information being used for representing a sequence of executing scheduling operation and resource configuration on the battery swap station. The technical problem that the emergency scheduling strategy of the battery swap station cannot be effectively generated is solved.

The invention relates to a computer-implemented method for information extraction from structured and / or unstructured data, the method comprising: - receiving, by a data agent (3), one or more input data documents and a task, - processing, by the data agent (3), the information contained within the one or more input data documents and generating an updated document from the information contained within the one or more input data documents, - generating, by a logging agent (4), a structured document from the updated document and storing (S4) said structured document in a memory, wherein the information in the updated document is clustered into several attributes, each attribute relating to an information element within the structured document, - extracting, by an extraction agent (5), information from the structured document, wherein the extraction agent (5) comprises at least two sub extraction agents (6) each of which comprises an LLM and is configured to extract, by utilizing its respective LLM, information from one specific attribute, wherein the extraction agent (5) selects (S5) and instructs one or more of the sub extraction agents (6) to each extract (S7) information that is relevant to the task from one attribute and to provide said extracted information as output to the extraction agent (5), - generating (S8), by the extraction agent (5), a final output (9) based on the outputs of the sub extraction agents (6).

The embodiment of the invention relates to a model question and answer optimization method and device, computer equipment and a storage medium. A data extraction mode of each knowledge data document is determined according to a document type, data extraction operation is performed on each knowledge data document, and extracted data is stored in a database; when a target problem is received, performing problem intention classification on the target problem to obtain a problem type; splitting the target question into at least one sub-question according to the question type; determining a target database corresponding to each sub-question, and retrieving candidate answers corresponding to the sub-questions; and combining the sub-questions and the candidate answers, and inputting the combined sub-questions and candidate answers into a large model to generate Therefore, differential data extraction can be performed on multiple types of operation and maintenance documents, the documents can be stored in different libraries according to the document types, question intention classification, targeted sub-question splitting and accurate retrieval in different libraries are combined, the retrieval accuracy and answer generation efficiency of network operation and maintenance knowledge questions and answers are improved, and the quick response requirement of complex operation and maintenance questions is met.

The invention relates to the technical field of multi-modal technology fusion, and discloses an intelligent report generation system for exhibition hall multi-modal data fusion, and the system comprises a multi-modal data collection module which collects voice data, image data, document data, user movement track data, contact interaction data, digital human interaction day data and environment parameter data in an exhibition hall; the data processing and fusion module is used for carrying out preprocessing, feature extraction and cross-modal fusion on the data acquired by the multi-modal data acquisition module and constructing a user portrait; and the intelligent report generation module is based on the fusion data and the user portrait output by the data processing and fusion module. A knowledge graph is called through a cross-modal fusion analysis module, physical exhibition stand coordinates and product semantic nodes are dynamically bound, heterogeneous data such as visitor tracks, voice dialogue and digital human interaction are mapped to a unified semantic space in combination with a feature alignment matrix, and accurate association of behavior data and interests and intentions is achieved.

The invention discloses a vector database-based big data real-time file gathering system, which comprises a data acquisition and access module used for acquiring multi-source heterogeneous data and establishing a data access channel; the data preprocessing module is used for preprocessing the multi-source heterogeneous data; the vector modeling module is used for generating a normalized object feature vector through the improved TabPFN; the file-gathering index construction module is used for constructing file-gathering index structure entries through an improved reverse index structure and a product quantization coding method, and writing the file-gathering index structure entries into a vector database; the file-gathering updating module is used for carrying out similar retrieval on the entity objects to be filed and updating or newly creating file-gathering index entries; the archive output and visualization module is used for constructing a structured data table and a JSON (JavaScript Object Notation) data document and generating a visual archive map; and the incremental feedback learning module is used for executing incremental training on the improved TabPFN network. According to the method, the accuracy, the real-time performance and the processing efficiency of big data file gathering are improved.

The invention provides an audio searching method and device, electronic equipment and a storage medium, and relates to the technical field of audio processing, data retrieval and the like. According to the specific implementation scheme, the method comprises the steps of obtaining audio data to be searched and corresponding search conditions; generating a target data document according to the audio data; wherein the target data document is used for indicating text data corresponding to at least one audio segment in the audio data and time information corresponding to at least one text data, and the time information is used for indicating the time position of the corresponding text data in the audio data; and searching target text data matched with the search condition in the target data document to determine a target time position meeting the search condition in the audio data according to the time information corresponding to the target text data.

To improve creativity and flexibility, to improve productivity and to achieve cost reduction by flexibly editing and reusing document image data read by an image scanner.SOLUTION: An information processing device includes a document image acquisition part for acquiring document image data read by an image reading part, a document image division part for dividing the document image data into a plurality of objects having different attributes, and a hierarchal data generation part for arranging the plurality of objects at a plurality of different layers, respectively to generate hierarchical data including the plurality of layers in each different attribute.SELECTED DRAWING: Figure 4