32 results about "Data documentation" patented technology

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.

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 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 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.

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.

The present invention relates to a document editing system using a bidirectional digital braille conversion engine, which supports a visually impaired user to perform real-time conversion and editing between braille and text. The system comprises: a processor including an artificial intelligence inverse braille translation algorithm; a multi-language support braille input interface that receives a braille input from a user and converts the braille input into text data; document editing software that edits and stores the text data; a multi-output interface for providing the edited text data to the user as braille and voice outputs; and an integrated accessibility module that performs conversion between text and braille in real time according to an input of the user and supports compatibility with various digital platforms.

The application provides a planning method and a computer readable storage medium. The planning method is used for a thermal power construction project, and the planning method comprises the following steps: obtaining data documents, wherein the data documents comprise a first data document of the thermal power construction project and a second data document of a construction contract; preprocessing the data documents to obtain analyzable text units; performing analysis and processing on the analyzable text units to obtain a construction knowledge graph and a contract constraint condition; simulating and deducing the thermal power construction project based on the construction knowledge graph and the contract constraint condition to obtain a multi-level progress plan of construction; obtaining abnormal information in the multi-level progress plan, analyzing and processing the abnormal information, and generating a processing opinion report; modifying the multi-level progress plan based on the processing opinion report to obtain a final construction plan; and wherein the analyzable text units comprise first sub-analyzable text units and second sub-analyzable text units.

The purpose of the present invention is effective assistance of document creation.　Provided is an information processing method for assisting document creation, the information processing method including causing at least one computer to execute prompt creation processing, generation processing, and document creation processing. In the prompt creation processing, a prompt is created on the basis of user input information, which is based on input by a user, and a prompt template. In the generation processing, a generative AI model is caused to generate generated data based on the prompt. In the document creation processing, document data is created on the basis of the generated data.

The application discloses a kind of based on BIM's road life cycle information management system and method, including road life cycle basic parameter setting unit, with the road life cycle basic parameter setting unit connection road life cycle detection data transmission unit, with the road life cycle detection data transmission unit connection BIM road modeling control unit, with the BIM road modeling control unit connection road life cycle data input progress query unit, with the road life cycle data input progress query unit connection road life cycle data retrieval unit, with the road life cycle data retrieval unit connection road life cycle data document query unit, and with the road life cycle data document query unit connection road life cycle statistical analysis unit, the output end of BIM road modeling control unit is connected with exception data tracking unit, the output end of exception data tracking unit is connected with remote control end.

The application discloses a kind of based on paragraph small file storage's document decoupling and synthesis system, comprising: data document analysis and storage module, for complete document storage and to document are parsed;Relevance document acquisition module, according to keyword acquisition relevance document;Paragraph small file storage module, to the file after splitting transmission verification, storage and management;Document batch disassembly and merging module, based on paragraph list tree structure title realizes file batch disassembly and merging;Merging resource pool module, select paragraph and add to resource pool;Resource pool content synthesis and download module, for resource pool content synthesis and download and new file stream generation.The application is through paragraph small file storage, relevance document query based on keyword, combine big data search engine and automatically filter out the relevance paragraph of meeting search content, based on the content of selected paragraph realizes document content disassembly, merging and storage, for user verification screening and corresponding processing.

The invention belongs to the technical field of underwater acoustic engineering, and particularly relates to a cleaning and reorganizing method for multivariate heterogeneous sonar data. Comprising the following steps: classifying multivariate heterogeneous sonar data into audio data, image data, document data and video data according to a storage format; classifying the sonar data in each storage format into active sonar data and passive sonar data according to a working mode; the sonar data in each working mode is classified into bow shell installation, tail dragging installation, broadside installation, hanging installation and sonar buoy according to array carrying modes; and performing quality evaluation and screening, data preprocessing and cleaning, data reorganization and labeling, quality verification and storage, and archiving and distribution on each subclass of sonar data in each storage format in sequence. Through systematic cleaning, redundant and wrong data are effectively eliminated, the consistency and accuracy of the data are improved, the storage space is saved, and the data processing efficiency is improved.

This invention relates to the technical field of integrating office software with artificial intelligence applications, and in particular discloses a low-code configurable AI integration system and method based on dynamic intelligent agents. The system includes a text editing module, a parameterized interface module, a prompt word construction module, an intelligent agent module, a secure communication module, a summarization module, and a document writing module. The text editing module initiates an intelligent analysis request to the parameterized interface module based on target content. The parameterized interface module extracts the target content to obtain multiple variables to be analyzed. The prompt word construction module generates multiple prompt words based on the multiple variables to be analyzed. The secure communication module encapsulates the encrypted prompt words and authentication information to obtain encapsulated information. The intelligent agent module generates analysis results based on the encapsulated information. The summarization module converts the analysis results into JSON data. The document writing module, in conjunction with preset macro injection instructions, fills in or modifies the target content.

The application discloses a product data document management system and a permission control method thereof, and belongs to the technical field of product data document management. The model of the management system is built based on a WindChill system platform. A minimization mechanism is arranged in the permission control method. Specifically, the method comprises the following steps: step 1, user personal information input and login verification; step 2, static permission allocation of the input user; and step 3, dynamic permission allocation of the user access control process of the static permission. The dynamic and static permission set is adjusted according to the business type, the granularity is maximally refined, the data resource in the whole life cycle can be prevented from being illegally rewritten, the correctness and consistency of the data are ensured, the temporary permission granting right is provided for the permission administrator, the data sharing in the maximum range of the data is ensured, the safety of the data is ensured, and the implementation effect is effectively improved.