416 results about "Field mapping" patented technology

The invention discloses a data import and field intelligent matching method for a low-code platform, and particularly relates to the technical field of low-code platform data processing. Constructing a field initial feature vector, extracting a standard field and historical matching features thereof from the target data model, and calculating a semantic matching score matrix by using a multi-source feature fusion model; screening the initial mapping table based on a dynamic threshold value, performing statistical deviation analysis in combination with a field value distribution difference measurement feature delta, and when delta exceeds a preset threshold value, calling a value mapping correction model to complete rematching to obtain an optimized mapping table; if it is detected that user history adjustment exists in the same source file type, re-correction is carried out based on a user behavior log, and a final field mapping table MP3 is output; finally, the MP3 is applied to data import, and automatic matching and binding are achieved. The method improves the accuracy and automation level of field matching, and is suitable for a multi-source heterogeneous data integration scene.

The invention discloses an enterprise data link management and value management method and system, and the method comprises the steps: carrying out the real-time capturing of multi-source heterogeneous data of all business systems in an enterprise through a distributed data collection engine, and recognizing the types of original data in different formats through a preset data source adapter; if structured data is detected, a relational database connector is adopted for extraction, and if the structured data is recognized as unstructured data, a document analysis module is started for content extraction, and an initial data set containing metadata tags is obtained; performing format conversion and field mapping on the initial data set according to a pre-established data standardization rule base, eliminating duplicate records and abnormal values through a data cleaning algorithm, performing automatic evaluation on a data quality grade by adopting a naive Bayes classifier, if a data quality score is lower than a preset threshold value, triggering a data recovery process, and if the data quality score is lower than the preset threshold value, performing data recovery. And standardized data meeting a unified standard is obtained. The normativity and value utilization efficiency of data management are effectively improved.

The invention discloses an unmanned aerial vehicle outdoor inspection method based on multi-modal fusion, and the method comprises the following steps: obtaining the inspection data of an unmanned aerial vehicle, and carrying out the feature extraction and space-time alignment; calling a GNPDE algorithm, and constructing a multi-modal field mapping layer; constructing a structure-thermal field joint graph structure, and establishing a double-branch coupling solution structure; constructing a topological adaptive edge weight adjustment module, and dynamically modulating the edge weight by adopting a physical modulation function; introducing an energy conservation constraint layer, and executing constraint solution; a multi-scale PDE evolution algorithm subset is quoted and combined, and a scale weight sharing mechanism is adopted to complete cross-scale joint optimization; constructing an abnormal residual reasoning module, and generating an abnormal significance map; and performing spatial registration and superposition on the abnormal saliency map and unmanned aerial vehicle inspection data, and outputting an equipment-level inspection report and a risk level conclusion. According to the invention, the inspection abnormity identification precision and the structure-thermal field reasoning stability are improved.

The invention provides a data analysis mapping method and system based on context awareness, and the method comprises the steps: carrying out the directional crawling of a target website through a crawler instance, so as to obtain multi-format webpage source data, then extracting the structural features, semantic features and source features of the multi-format webpage source data, and constructing a source data context feature set; dynamically matching an adaptive analysis strategy based on the source data context feature set to accurately extract target field data, performing semantic similarity matching on the target field data and a preset service scene standard field library, and performing data format unified conversion in combination with a context format rule to obtain standardized field data; and finally, performing multi-dimensional verification on the standardized field data, and generating an SQL statement after the verification is passed, so as to solve the problems that an existing data analysis mapping scheme depends on a fixed template and cannot dynamically adapt to page structure change of a target website, manual auxiliary field mapping consumes time, and errors are easy to introduce.

The invention relates to the technical field of data processing, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a data processing and analysis method, device, equipment and medium, and the method comprises the steps: obtaining a data source set, and registering a source label and field mapping relation; executing extraction, cleaning, conversion and loading in the data processing assembly line based on the data source set, the source label and the field mapping relation to generate a processing table set; performing quality verification and exception handling on the processing table set to generate a verified processing table set; generating an index cloud based on the verified processing table set and the configuration strategy; the index cloud is pushed to the analysis tool set through the interface transmission channel, and the analysis tool set generates analysis output according to the index cloud. According to the method, through unified data registration, standardized processing and quality verification, the index cloud is generated in combination with the configuration strategy and pushed to the analysis tool set, the analysis result is generated and transmitted, the data consistency is ensured, and the real-time performance is improved.

The invention relates to the technical field of natural language processing, in particular to an archive structured information extraction method and system based on a multi-modal large model and a medium, and the method comprises the following steps: S1, establishing a mapping table of fields to be extracted; s2, data annotation; s3, constructing a layout analysis model, an archive structured extraction model and an archive structured integration model; s4, screening key information pages based on the layout analysis model; s5, extracting single-page structured information based on an archive structured extraction model; and S6, based on the archive structured integration model, integrating single-page structured information results. Through application of the multi-modal large model, accurate layout analysis, strong structured extraction capability and efficient information integration are realized, automatic extraction and integration from archive image data to structured information are realized, manual intervention is reduced, and processing efficiency is improved.

The invention relates to the technical field of data import, in particular to an intelligent Excel data import method and system based on dynamic mapping, and the method comprises the steps that the system traverses all Excel fields for each database field, calculates the feature similarity and field matching degree of the Excel fields, and generates a field mapping template set according to all field matching results; reading the Excel content according to rows, cleaning each row of content into a standard value, performing quality scoring, and outputting a target format data structure set; screening a structure alignment data row and a field structure exception record set which conform to a threshold value; the system reads the structure alignment data rows line by line, processes the extraction value of each field and outputs a legal data set; and extracting a field sequence set, searching whether fields marked as primary keys or unique keys exist in the field sequence set, and combining the fields into a uniqueness judgment set to judge whether the currently written Excel data exists in the target database table.

The invention discloses a business filling scene data acquisition method and system, a storage medium and electronic equipment, and the method comprises the steps: firstly storing filling historical data and domain knowledge into a vector database, and according to the current input of a user, searching related information, and combining the current input to generate a filling suggestion through a generation type large model; multi-modal information of the multi-end filling system is obtained, semantic understanding and information extraction are completed through a large model, and the multi-modal information is converted into structured data; mapping the structured data to a specified field by means of a field mapping rule; a data verification rule is designed, data verification is corrected through a rule engine or large model dynamic logic verification, and a verification result and a prompt suggestion are output; and finally, storing the processed and verified data, and providing data support for the user. According to the invention, the data acquisition efficiency is improved; the intention of the user can be predicted, corresponding suggestions can be provided, and the legality and accuracy of data are ensured.

The invention relates to the technical field of data processing, can be applied to business scenes of financial science and technology, medical health, voice navigation and the like, and discloses a multi-source data processing and form generation method, device, equipment and medium. Generating a preprocessing data set; creating a field mapping relationship through a configuration interface, associating fields of different business attribute types in the preprocessed data set to a target subject, and executing subject clustering processing on the associated preprocessed data set according to the target subject to generate intermediate data; and generating a standard form based on the intermediate data. By automatically collecting the original data, analyzing the fields, establishing the field mapping relation and generating the standard form, automatic processing of the multi-source data is achieved, the workload of manual data processing and verification is reduced, the data processing efficiency and accuracy are remarkably improved, and meanwhile the traceability and consistency of the data are ensured.

The invention provides a paper file information input method, system and device and a medium, and belongs to the technical field of file information processing. The method comprises the steps of collecting a paper file image, performing preprocessing in sequence to obtain a preprocessed image, and performing region segmentation on the preprocessed image by using a target detection algorithm to generate a region coordinate mapping table; generating a file template by using a predefined file template library according to the region coordinate mapping table; performing printing form recognition and handwritten form recognition on characters in the image by using a sequence generation model to generate a text sequence, and recognizing a table structure by using a two-dimensional convolutional network; according to the text sequence and the table structure data, a named entity recognition model is used for labeling field types, data formats are checked and corrected according to template rules, errors are corrected in combination with context semantic similarity, and structured data are generated; and mapping the structured data to an information system database table according to a template field mapping rule, and inputting the structured data into an information system.

The invention discloses a real-time debugging system for software development, and particularly relates to the technical field of real-time debugging for software development, comprising: acquiring target data in a cross-layer call link during real-time debugging for application software development, the cross-layer call link comprising a front-end layer, a service layer and a data layer, before target data enters a cross-layer calling link, structured extraction is carried out, an initial field value and initial attributes are recorded, and the initial attributes comprise permission, currency units, time zones, sources and rule states; by recording and analyzing the processing rule and the change path of the field in the cross-layer call link, reverse derivation and context reduction operations are executed in combination with the structured field mapping structure to recover semantic state information missing from the breakpoint layer, so that the accuracy of debugging judgment and the business consistency of the debugging result are improved.

The embodiment of the invention discloses a traffic accident data processing and analyzing method and device and electronic equipment. The method comprises the steps of performing data fusion on traffic accident data in various data formats based on a large-model heterogeneous field mapping method to obtain an accident data set, performing data cleaning on the accident data set according to a dynamic rule engine and a correction mechanism to obtain a target data set, and storing the target data set in a database. And finally, performing hierarchical analysis on the target data set based on the multi-dimensional accident analysis model to obtain a data analysis result, and performing visual display on the data analysis result. Through multi-source data intelligent fusion, data quality control and a multi-dimensional accident analysis model, the data quality of the multi-source data is improved, the purpose of efficiently and automatically processing different data formats is achieved, a large amount of human resources are saved, and meanwhile the accuracy and reliability of a data processing analysis result are improved.

Apparatuses and methods for beam indication for multiple entities. A method of operating a user equipment (UE) includes receiving a configuration of one or more sets of transmission configuration indicator (TCI) states, receiving a first message activating TCI state code points, from the one or more sets of TCI states, and receiving a second message indicating TCI state code points for N entities. The second message includes a field map of size N fields and a list of TCI states code points in order of the N fields of the field map and according to a number of TCI state code points indicated by each field. Each field of the N fields correspond to an entity of the N entities. Each field indicates the number of TCI state code points indicated for the corresponding entity.

The invention discloses an intelligent decision data inquiry system and method based on a generative large model, and belongs to the technical field of artificial intelligence. Natural language inquiry input by a user is received, and an inquiry intention and a target field are extracted; extracting structured and unstructured cost data from the real estate project database, and constructing a candidate field set; performing semantic matching by utilizing the generative large model to generate an intention field mapping matrix; constructing a field dependency graph based on a mapping result, and extracting a minimum closed-loop field set; performing credibility evaluation on the fields, and constructing a weighted field set; generating a dynamic query template, outputting a natural language answer, and attaching a field tracing path; if the field is missing or the credibility is insufficient, automatically generating a reverse query until a credibility requirement is met; according to the method, automatic association and accurate question and answer between complex semantic query and heterogeneous cost data are realized, and the method has good interpretability, traceability and intelligent interaction capability.

The invention discloses a multi-source data merging method and merging equipment based on rule chain configuration, and relates to the technical field of data fusion. In the method, merging equipment generates a structured configuration file through a visual configuration interface, and decouples a variable data source association relationship and a field mapping rule from a program code, so that a user can dynamically define a data merging task in a visual manner without modifying and redeploying a bottom program code, and the user experience is improved. And the execution triggering condition of each data source node is determined through the directed acyclic graph execution plan, so that the data processing tasks with the dependency relationship can be executed in series according to the dependency relationship, and the data processing tasks without the dependency relationship can be executed in parallel, thereby improving the merging efficiency of the multi-source data.

The invention belongs to the technical field of medical information, and provides a standardized electronic medical record shared document automatic generation method and system, and the method comprises the steps: obtaining related specifications, constructing a document directory structure, and generating directory data; the method comprises the following steps: loading a pre-constructed standard data element dictionary and a local business system database structure, respectively analyzing the pre-constructed standard data element dictionary and the local business system database structure to obtain standard data elements and local fields, and establishing a mapping relationship between the standard data elements and the local fields through an intelligent matching algorithm to obtain a field mapping table; acquiring configuration information including node names, data types, whether the user must be filled or not and value ranges, and binding the configuration information with local fields to generate complete node configuration data; and generating a document template according to the node configuration data, generating a shared document file based on the basic information of the patient, the doctor-seeing record and the selected document template, and performing verification. According to the method, the full-process automation of the shared document from directory definition to content generation is realized, and the method has high efficiency, standard performance and intelligence.

The invention provides a financial statement automatic generation method and system based on machine learning, and the method comprises the steps: carrying out the matching and conversion of semantics of different fields through employing an intelligent recognition technology according to a preliminary data format difference classification result, generating a standardized data structure set, and obtaining a unified field mapping relation; performing dynamic recombination on the cross-system business process by adopting a process tracking algorithm through a complete business data link, obtaining a time sequence relation and a data flow path of each business link, and obtaining a complete process tracking graph; key financial indexes and associated data of all links are obtained through the repaired process data set, and a data integration module is adopted for multi-dimensional summarization to obtain a preliminary financial data report framework; and through the final financial data content, obtaining a preset report template and an output rule, and generating a financial report output result conforming to a specification.

The invention provides a data retrieval and chart generation method based on a large language model, and relates to the field of data processing. According to the method, natural language query, interface images and interaction behaviors are fused through a large language model, context features are generated by combining historical query modeling, a query semantic graph is constructed and matched with a database semantic structure graph to obtain field mapping, and a retrieval plan with caliber and time rules is generated and executed to obtain a result. Results are cleaned, an index set is generated according to the index dictionary and the life cycle library, chart types are determined in combination with interaction and data changes, and coding specifications are generated to output chart results. By implementing the technical scheme provided by the invention, the processing efficiency of data retrieval and chart generation can be improved.

The invention is suitable for the technical field of data processing, and provides a database query method, system and device based on a natural language and a medium. Based on the natural language text and the field library, calling a root matching strategy, a semantic matching strategy and a fuzzy matching strategy through a hierarchical collaboration mechanism to perform field mapping, and determining a target field; splicing the target fields to obtain an initial semantic query statement; loading and executing the plurality of modifiers in sequence through a service discovery mechanism to obtain a target semantic query statement; converting the target semantic query statement to obtain a target physical query statement; and executing the target physical query statement to obtain a target query result and returning the target query result to the query party. Through hierarchical cooperation of the root matching strategy, the semantic matching strategy and the fuzzy matching strategy, the expandability and adaptability of the matching strategy are improved, the field recognition accuracy is improved, the field matching range is expanded, and the matching efficiency is optimized.

The invention discloses a geological archive electronic data security storage method and system based on a block chain, and relates to the technical field of geological information data security, and the method comprises the steps: constructing a multi-modal Merkle sub-tree based on a cross-modal alignment key set, aggregating the multi-modal Merkle sub-tree into a cross-modal Merkle forest root, calculating a cross-modal consistency index, and generating an inconsistent item list; according to the multi-modal consistency index and the inconsistent item list, obtaining a differential security domain mapping table and an access condition set of the geological archive data, and respectively generating a verifiable desensitization proof of a restricted domain and a verifiable zero-knowledge proof of a confidential domain; and packaging the cross-modal Merkle forest root, the differentiated security domain mapping table, the access condition set, the verifiable desensitization proof and the verifiable zero-knowledge proof into an uplink abstract package, verifying the desensitization proof and the zero-knowledge proof through an intelligent contract, and generating a transaction record hash and a new block candidate. According to the invention, the security of the electronic data of the geological archive is improved.

The invention relates to the technical field of artificial intelligence, and particularly provides a heterogeneous data preprocessing method, system and device and a storage medium, and the method comprises the steps: obtaining multi-source heterogeneous original data, and analyzing the multi-source heterogeneous original data into intermediate format sample data; calling a large language model to generate a field semantic tag; converting the original field into a standard field in a standard field library through a field mapping rule; cleaning abnormal values by using a machine learning model to obtain a primary sample data set; performing semantic analysis on the unstructured text fields to generate structured feature vectors, and adding the structured feature vectors into a data set; and finally, performing feature derivation on the structured field according to the data type and the semantic tag, and outputting a final data set. According to the method, automatic processing from the original data to the training ready data set is realized, and the data preprocessing efficiency, the automation degree and the reliability are remarkably improved.

The invention belongs to the technical field of water conservancy informatization and automatic control, and discloses an intelligent water conservancy-oriented multi-source hydrological data monitoring and safety early warning system, which comprises a monitoring link for acquiring water level, rainfall, flow velocity, flow and meteorological elements, and acquiring environment information in combination with videos and remote sensing images; the communication processing link supports multi-link transmission and generates an integrity mark for the data; in the data processing link, field mapping is realized based on a unified semantic model, conflict judgment is carried out through a timestamp, an integrity mark and an adjacent monitoring point weighting sequence, and an abnormal mark is generated at the same time; in the digital modeling link, three-dimensional twin models of a river channel, a reservoir and a dam are established, and abnormal factors are written in; in the risk prediction link, a risk assessment result is output in a multi-factor weighting mode; the early warning control link determines a release object based on the three-dimensional permission matrix and executes a boundary rule; and the linkage link issues a scheduling instruction after manual reexamination and confirmation, and feeds back an audit record to the model to form closed-loop correction.

The invention relates to the technical field of data processing, in particular to a cloud platform data analyzing and processing system based on front-end segmentation, which comprises the steps of synchronously displaying fields and paging information to construct export parameters, cloning rendering data to establish a running state, monitoring page turning change to generate buffer content, and segmenting and packaging buffer data according to a memory state. And pushing the data to the local, rolling back the page structure, and completing the export of the process ending identifier. According to the method, export parameters are constructed by synchronously searching fields, header structures and paging numbers; a data clone structure is established in combination with field mapping and paging tracks; field changes are monitored to generate buffer contents; paging data are split according to memory occupation and packaged into local caches; and pushing data to the local and rolling back a display structure to support key links of export processes such as field tracking, memory control, data merging and page recovery.

The invention provides a self-adaptive compatible protocol of a multi-source heterogeneous parking system and a gateway system, and belongs to the technical field of Internet of Things communication. According to the scheme, manufacturer equipment protocols such as Bosch, Gifcian and Haikang are identified through a protocol fingerprint feature library, heterogeneous data are converted into a unified JSON Schema format by utilizing a self-adaptive field mapping rule, and a multi-source heterogeneous parking system is obtained. Seamless access of multi-source equipment data is realized by combining fault-tolerant mechanisms such as off-network storage and rule hot update, the system adopts a three-layer protocol conversion architecture, the protocol identification accuracy is greater than or equal to 99.2%, the new system access time is shortened to 2 hours from 15 people days, the integration cost is reduced by 92%, the problems of protocol fragmentation, data splitting and high docking cost in the prior art can be solved, and the system has a wide application prospect. And access to an intelligent wheel parking platform is supported, and zero loss of data conversion is ensured.

The invention discloses an intelligent accounting and analysis system for enterprise operation cost and expense, and relates to the technical field of intelligent accounting and analysis of enterprise operation, comprising a data preprocessing module used for obtaining original cost data from an enterprise ERP system, a financial system and a production management system, performing cleaning, field mapping and time sequence alignment operations on the original cost data, and outputting a structured unified data set; the deviation decomposition module is used for dividing a total cost deviation into four types of components, namely a usage difference, a price difference, an efficiency deviation and a structure migration deviation, based on a budget value and an actual value in the structured unified data set, performing attribution analysis according to a department, a product line or a project dimension, and outputting deviation detail data; and the weight calculation module is used for generating a dynamic weight vector according to the historical fluctuation characteristics of each cost item in the deviation detail data and the business association strength of the cost item in the enterprise operation in combination with an external market change signal.

The invention relates to the technical field of artificial intelligence, in particular to an interface service construction method and device based on multiple Agents, equipment and a medium. The method comprises the following steps: receiving a construction request of an interface service, and calling a demand docking Agent to extract a service demand in the construction request to obtain a demand document; the demand document comprises business logic, a data source table and a field mapping relation; the task planning Agent is called to generate a task flow chart according to the business logic and the field mapping relation, and the task flow chart is sent to the SQL writing Agent and the script writing Agent; calling an SQL compiling Agent to generate an SQL statement corresponding to the interface service according to the data source table and the field mapping relation; constructing a syntax tree corresponding to the SQL statement according to the SQL statement and the task flow chart; and calling a script writing Agent to perform script writing according to the SQL statement, the syntax tree corresponding to the SQL statement and the task flow chart to obtain an interface script corresponding to the interface service.

The invention relates to the technical field of data integrity verification, in particular to a drug compliance detection method and system for drug supervision, and the method comprises the following steps: extracting a process change data field, eliminating a deviation value and setting a reference, marking and classifying a current batch difference field, recognizing a deviation expansion item, constructing a field mapping path and recognizing an interruption point. And judging whether the interrupt field is missing or not, and generating various result lists. According to the method, through medicine process parameter extraction and abnormal value elimination, a stable reference standard is constructed, representativeness of a comparison standard is guaranteed, classification is performed based on field differences, parameter offset is identified, difference identification precision is improved, continuous offset fields are judged in combination with trend changes, risk early warning timeliness is enhanced, and data inheritance continuity is expressed; according to the method, breakpoint fields are filled and verified, missing information is accurately captured, a closed-loop process of offset identification, trend research and judgment, path tracing and missing verification is integrally formed, and the integrity and sensitivity of data compliance inspection are improved.

The invention discloses a data model field mapping method and device, a storage medium and a processor. According to the scheme, metadata of a source model and metadata of a target model are obtained; constructing a candidate field mapping set based on the metadata of the source model and the metadata of the target model; traversing each pair of candidate field mappings in the candidate field mapping set, calculating a comprehensive similarity value of each pair of candidate field mappings in the candidate field mapping set, and determining a mapping rule corresponding to each pair of candidate field mappings based on the comprehensive similarity value of each pair of candidate field mappings, and converting each pair of candidate field mapping from the source model to the target model based on the determined mapping rule. Compared with the problems of low efficiency, high error rate and the like of a manual maintenance mode in the prior art for a large number of fields and complex data structures, the method has obvious advantages.

The invention belongs to the technical field of enterprise informatization management and big data integration, and particularly relates to an enterprise informatization management integration platform based on big data. Comprising an auditing element unified structured acquisition module, a main body unique identifier analysis and failure closed loop module, a caliber version and field mapping version joint locking module and an evidence index binding and consistency verification packaging module. The platform reads interface and field mapping from a service system log according to a configuration table, normalizes the interface and field mapping and writes the interface and field mapping into an event account book collocation state; executing main body gating on the original entry record to generate a main body identifier and writing back the main body identifier; when failure occurs, the reason code is written and blocked, and the failure evidence index is returned; performing node analysis on the aperture script and generating an aperture chain fingerprint; and serializing the event segments, calculating abstracts, constructing batch abstract roots, positioning first inconsistent serial numbers when recalculation is inconsistent, and scheduling and supplementary collection, so as to output a recheckable audit evidence packet. According to the invention, aperture consistency and evidence traceability can be realized.

The invention provides an intelligent question and answer and traceability analysis system and method based on structured enterprise data, and the system comprises a data interface and standardization module which is used for accessing a multi-source structured database, and carrying out the standardization processing of the multi-source structured database meeting a preset requirement, and obtaining the standardized multi-source structured database; the natural language analysis and field mapping module is used for performing intention recognition and target entity extraction on a natural language input by a user, screening fields in the standardized multi-source structured data based on the extracted target entity and the recognized intention, and obtaining data corresponding to the fields obtained after screening; the rule engine and logical reasoning module is used for matching a judgment rule based on the recognition intention and performing logical judgment according to the judgment rule based on the acquired corresponding data to obtain a judgment result; and the intelligent reply generation module is used for generating a structured reply based on the judgment result.