208 results about "Document transformation" patented technology

The invention provides a file conversion method and device, equipment and a program product, and the method comprises the steps: obtaining a to-be-converted file which is an image file or a portable document format file, i.e., a PDF file; identifying elements in the to-be-converted file, determining attributes of the identified elements based on an identification result, and performing logic layering on the identified elements; the elements comprise texts; generating a structured document based on the logical layering result and the attributes of the identification elements; and converting the structured document or the edited structured document into an editable file in a portable document format, so that the PDF can be edited. According to the method and the device, the automatic conversion from the image or the PDF to the editable PDF is realized, and in the conversion process, through the structured document generated in the middle, while the logic level of the document is improved, a user is supported to carry out instant editing, and the editing efficiency and convenience are improved.

The invention discloses an intelligent auditing method, apparatus and device, and a storage medium. The method comprises the steps of collecting a financial auditing document file; converting the financial audit document file into a structured text by using an OCR model; classifying the structured text through a classification model to obtain a classification result; based on a classification result, key fields are extracted from the structured text through a large language model and a multi-modal model; obtaining an auditing rule and constructing a knowledge graph system based on the auditing rule; and inputting the key field into a knowledge graph system for auditing and decision making to obtain an auditing result. According to the method, the document text is accurately identified through the OCR model, the documents are intelligently classified through the classification model, the document content is deeply analyzed through the large language model and the multi-modal model, and meanwhile, the knowledge graph system is combined for automatic auditing, so that automatic auditing of the documents is realized. The auditing efficiency and accuracy are greatly improved, and the labor cost is reduced. And objectivity and consistency of examination and approval decisions are ensured.

System and methods are provided for automated SKU management. Embodiments include a user interface for receiving diverse catalog files, a Catalog Transformation module, a Real-Time Data Mesh (RTDM) module, a Master Data Governance (MDG) module, a Global Data Repository (GDR), and a Search Platform. The Catalog Transformation module, through iterative learning, transforms catalog files to a standard format and predicts categorization and attribute mapping. The RTDM module is configured to perform real-time data exchange. The MDG module validates the transformed catalogs. The GDR stores validated catalogs. Embodiments can include a Dynamic SKU Creation module and a Global Pricing Engine for real-time pricing. Embodiments improve data accuracy and SKU management, facilitating integrated order processing and fulfillment.

The invention discloses an interface dynamic implementation method, a medium and equipment. The method comprises the following steps: converting a source code interface file into a structured description file; constructing a mapping relation library of the interface components and the implementation codes; storing the structured description file as an independent interface structure data instance, storing external business data as an independent business data instance, and establishing a separated storage system of the interface structure data and the business data; and analyzing the structured description file, judging whether the attribute value of the interface component is a business data type, and if yes, replacing the business data instance with the business data to generate a final interface. According to the method, the component instance is matched based on the mapping object, the interface is dynamically generated, an exclusive analyzer does not need to be developed for a single component, and the dynamic efficiency and maintainability of the interface can be remarkably improved.

The invention discloses a lightweight three-dimensional data format generation method suitable for ship model labeling, which comprises the following steps of: exporting a three-dimensional model file from ship design software, extracting a model attribute information file of the three-dimensional model file, analyzing the three-dimensional model file and the model attribute information file, and calculating to obtain attribute value information of a geometric body model in a model; the attribute value information of the geometry model is integrated and then converted into a lightweight data exchange format, a lightweight data exchange format file is converted into a binary format, and a lightweight three-dimensional data format file is obtained through transcoding and compression; and the lightweight three-dimensional data format file is stored in a database after being subjected to name matching based on the model attribute information. The volume of the lightweight three-dimensional data format file is small, only key data of the reduced model are reserved according to the characteristics of the ship model, and binary coding conversion and compression are performed on the file, so that the volume of the lightweight three-dimensional data format file is much smaller than that of a model file in a general format, and storage and network transmission are greatly facilitated.

Disclosed is a video summarisation method that includes converting an input video file to a video transcript using speech recognition, segmenting the video transcript into a plurality of paragraphs using a transformer based model, performing relevance ranking of the plurality of paragraphs by assigning a paragraph importance score to each paragraph, based on relevance of each paragraph to an overall content of the video transcript, creating a plurality of candidate summaries from the plurality of paragraphs, each candidate summary comprising two or more paragraphs, performing coherence reranking of the plurality of candidate summaries based on a combination of coherence and relevance of each candidate summary, and selecting a summary based on the coherence reranking.

The invention relates to a Python-based Web system automatic test method, which comprises the following steps of interface test data capture, page element acquisition, test framework establishment and establishment of a visual test platform by combining a UI (User Interface) and an interface case, in the interface test data capture, a charls tool is used for data capture, agent setting and SSL (Secure Socket Layer) certificate installation; after packet capturing is completed, file conversion in a yaml format is carried out; in the step of page element acquisition, related information of elements is acquired by using a method provided by Selenium, and a page is analyzed, processed and packaged. According to the method, the Web automatic test execution efficiency can be improved, the problem that the use threshold is too high is avoided, and the project risk and the labor cost are reduced.

System, method, and apparatus for transforming computer files are provided. The method, implemented by one or more processors, comprises: inputting a source file and a source file specification, the source file including one or more source data items, the source file specification defining formats of the one or more source data items; generating, using a generative AI model based on the source data and the source file specification, a source file model including one or more source nodes, each of one or more source nodes associated with a respective data item of the one or more source data items; generating, using the generative AI model, a transform map mapping the one or more source nodes to one more target nodes of a target file model; invoking, a semantic model-based transformation service to generate an output file; and invoking a comparison module to compare the output file to an output sample.

The invention relates to the technical field of data processing, and discloses a test case file conversion method and device, computer equipment and a storage medium. The test case file conversion method comprises the steps of obtaining a to-be-converted file, and analyzing the to-be-converted file according to a file type of the to-be-converted file to obtain file analysis data; performing conversion processing on the file analysis data according to a preset intermediate conversion rule to obtain an intermediate conversion file; obtaining format selection information, and determining a target file format and a target file template corresponding to the target file format according to the format selection information; and according to the intermediate conversion file and the target file template, generating a target conversion file corresponding to the target file format. According to the embodiment, a unified intermediate file processing mechanism is established, meanwhile, automatic processing of file conversion is achieved, the file conversion efficiency and accuracy are improved, and different scene requirements can be met.

The invention discloses a report generation agent method, system and device driven by a large language model and a medium, and the method comprises the steps: constructing an agent execution framework independent of a native interface, outputting a decision through a cue word constraint model in a JSON structure, and scheduling a local tool function; analyzing the reference data and constructing a local vector knowledge base supporting semantic retrieval; the intelligent agent autonomously plans and generates a report directory structure based on a local vector knowledge base, stores the report directory structure as a structured intermediate file as a persistent intermediate representation, generates chapter content in parallel by utilizing a concurrent flow control and exponential backoff retry mechanism and combining a mixed retrieval strategy, and serializes and updates the chapter content to the intermediate file in real time; and finally, converting the intermediate file into a target format report according to a mapping rule. The system, the equipment and the medium are used for implementing the method. According to the method, the efficiency and the accuracy of complex report generation are remarkably improved through agent whole-process autonomous driving and combination of persistent intermediate representation, retrieval enhancement and concurrency control technologies.

The invention provides a cross-file semantic association analysis system based on a hierarchical rule engine. The cross-file semantic association analysis system comprises a plurality of modules, wherein a code compilation analysis module is used for converting an input code file into an AST object and executing cross-file dependency and reference analysis; the semantic fact construction module generates an initial fact set according to the data output by the code compiling and analyzing module; the rule interpreter receives the rule set of the hierarchical rule base and constructs a corresponding hierarchical rule network; the rule matcher injects the initial fact set into the hierarchical rule network in a streaming mode to execute rule matching; the condition verification module verifies a rule matching condition according to the input fact data and returns a result; when rule matching succeeds, the rule executor executes corresponding processing logic and updates the fact base; and the result analyzing and processing module analyzes and integrates the final reasoning fact data and writes a result into a conclusion library. The method can be used for constructing a universal cross-file code context analysis system, and the code static analysis performance is improved.

The embodiment of the invention provides a code conversion method and device, a storage medium and a program product. The method comprises the following steps: segmenting a to-be-converted code file into a plurality of code snippets, retrieving a conversion rule matched with each code snippet from a preset conversion rule library, and retrieving a knowledge fragment matched with each code snippet from a user private knowledge base; based on the multiple code snippets, the conversion rules matched with the code snippets and the knowledge snippets matched with the code snippets, target cue words are generated, the code conversion model is guided through the target cue words, and the code snippets to be converted are recognized from the multiple code snippets; the to-be-converted code snippets are rewritten on the basis of the conversion rules matched with the to-be-converted code snippets and the knowledge snippets matched with the to-be-converted code snippets, so that the to-be-converted code file can be converted into the target code file under the target version more accurately by the code conversion model; and the accuracy of a code conversion result between different versions is improved.

The invention relates to the technical field of databases, in particular to a database mapping file conversion method and system based on a large model, and the method comprises the steps: recursively traversing files under a target project path to obtain a file path list; according to a path sequence in the file path list, circularly executing the following steps S1-S5; s1, reading to-be-converted file content of the Nth to-be-converted file; s2, constructing a target cue word based on the read to-be-converted file content, and inputting the target cue word and the to-be-converted file content into the large model; the target cue word is used for guiding the large model to convert an SQL statement in the to-be-converted file content into a target statement conforming to the target grammar; s3, analyzing an output result of the large model to obtain to-be-written file content in a preset format; s4, generating an output path; and S5, writing the to-be-written file content into the target file under the output path. In this way, the efficiency and accuracy of database adaptation conversion can be improved.

The invention discloses a multi-modal automatic teaching video generation method and system based on an intermediate file. The analysis module is used for extracting texts and pictures from documents input by a user and constructing a searchable knowledge base. The content generation module retrieves related teaching content texts according to knowledge points specified by a user through calling of a two-stage large language model, and generates an explanation first draft in a free format; and retrieving related pictures, performing format conversion, and combining with the explaining first draft to generate a structured JSON file. The format conversion module is used for converting the JSON file into an intermediate file which can be read by human and can be analyzed by a machine through a predefined template engine; the collaborative review module presents the intermediate file to a user and receives a modification instruction; and the synchronous updating module performs reverse analysis and grammar verification, and updates the original structured data according to the changed content. The material generation module generates corresponding audio and image materials; and the video synthesis module synthesizes the materials into a video file and outputs the video file.

Systems and methods for document transformation and recordation are provided. Documents for a transaction of real property are identified based on a jurisdiction in which the real property is located. Each document includes a plurality of data fields and each data field is associated with a data field identifier. A data value is received in at least one of the data fields of one or more of the documents. The data fields in the documents associated with the data field identifiers that match the data field identifiers of the data fields in which the data values are received are identified. The identified data fields are automatically populated with the data values based on the data field identifiers. Completeness rules are applied to the documents by verifying all required documents for completing the transaction in the jurisdiction are satisfied. Documents or information pertaining the documents can be stored in a blockchain.

A cross-modal collaborative analysis method based on a multi-modal bid invitation file comprises the following stages: a data analysis stage: converting the multi-modal bid invitation file into a picture format, then identifying a content type and cutting to obtain fragment information; processing the table fragment information to obtain structured table data, and processing the picture fragment information to obtain structured picture data; then associating the text fragment information, the table fragment information and the picture fragment information to obtain integrated multi-modal data; a target item extraction stage: extracting a target item in the bid invitation file; and a consistency verification stage: generating a structured analysis result. According to the method, automatic analysis and association of multi-modal information of texts, tables and drawings in the bid invitation file and consistency check conflict detection work are realized, and the problems of splitting of the multi-modal information of the texts, the tables and the pictures, low efficiency and easiness in making mistakes in traditional manual analysis are solved.

The invention belongs to the technical field of vehicle software development, and particularly relates to a method for converting a form file into a graphic program, which is used for converting the form file into the graphic program and comprises the following steps of: reading the form file so as to read text contents and coordinate information of all cells in at least one page of the form file into a corresponding two-dimensional object array, the name of each two-dimensional object array is set as a corresponding page name; analyzing each two-dimensional object array into a flow chart area and an attribute area in sequence according to pages; constructing a graphic program according to an analysis result; and / or converting the graphic program into a table file, including creating table empty pages, the number of the table empty pages being equal to the sum of the number of the main program and the number of the nested subprograms of the graphic program; corresponding table pages are sequentially constructed according to program categories in the graphic program, one page corresponds to the main program, and the other pages correspond to the corresponding nested subprograms; and storing the constructed form file.

The present invention provides a method for digitizing high-speed railway subgrade cross-section design information based on graphic element features. By converting DWG files into DXF format files, basic graphic element information is extracted, and line and arc information and text information are obtained and processed. The extracted object information that may be included in the railway subgrade cross-section drawings is identified and matched based on railway design specifications and the graphic features of each extracted object. Finally, the extracted object information is stored in a database based on the name, type, attribute, and coordinates of the railway line position. The present invention can parse digital drawings of high-speed railway subgrade cross-section designs and extract the required information. The digitized information can be used to verify the drawing information and calculate the engineering quantities in the drawings. It can also provide basic data for further design.

The disclosure provides a software management system and method, relates to the field of artificial intelligence, in particular to cloud computing, cloud operation, edge computing technology, and can be applied to an intelligent cloud scene. A specific implementation scheme is as follows: a software management system, comprising: a center node configured to obtain a service description file, convert the service description file into service data, and determine a mapping relationship table of machine labels and services based on the service data, and allocate machine labels for accessed edge nodes according to a preset label management table; at least one edge node, each edge node being configured to obtain the machine label allocated to the edge node, the mapping relationship table and the service data from the center node, and query the target service corresponding to the allocated machine label from the mapping relationship table, and download and install the file according to the file package information of the target service in the service data. The embodiment realizes the maintenance and construction of service software in advance before the start of the software management service, and decouples the service and the machine.

The invention relates to the technical field of artificial intelligence, and particularly discloses a file semantic analysis method based on deep layout reconstruction and dynamic template constraint, and the method comprises the following steps: obtaining an initial retrieval template and multiple source files, and converting the multiple source files into a standard PDF (Portable Document Format) file; extracting a plurality of page images from the standard PDF file, and identifying a target area from the plurality of page images; and extracting field name information corresponding to the dynamic keyword from the target area according to the dynamic keyword in the initial retrieval template, and adding the corresponding field name information to a to-be-filled area corresponding to the dynamic keyword in the initial retrieval template to generate a final retrieval template. According to the method, the file information extraction process can be converted into an intelligent processing mode cooperatively driven by structured analysis and the semantic model from a mode depending on artificial experience and fixed rules, so that the information extraction stability, the template reuse capability and the consistency and reliability of engineering application under the complex file condition are improved.

A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.

The invention relates to the technical field of embedded systems and real-time communication, in particular to a method for achieving recording and playback based on a lightweight DDS, and the method comprises the steps: converting an IDL file of user-defined TypeInfo information into an XML type definition file; the XML type definition file as well as the topic information and the data type definition which are associated with the XML type definition file are added into a configuration file of a Recencing Service; and carrying out data recording, publishing and playback according to the topic information, the data type definition and the XML type definition file. According to the method, the IDL file of the user-defined TypeInfo information is converted into the XML type definition file, and the information of the XML type definition file is added into the Receiving Service configuration file, so that the problem that the existing lightweight DDS equipment does not support the TypeInfo function is solved, the functions of recording and playback of theme data released by the embedded lightweight DDS are realized, and the user experience is improved. And meanwhile, the problem of memory resource shortage of embedded equipment (especially an MCU) is solved.

The invention provides a front-end page creating method which can be applied to the technical field of software development and artificial intelligence. The front-end page creating method comprises the steps that target component configuration information matched with different types of fields in a page description file is determined, and the target component configuration information comprises target table component configuration information, target display configuration information, target desensitization configuration information and target risk prompt configuration information; generating a page description file based on the configuration information of each target component and functional requirements defined in the project development requirement document; and converting the page description file into a corresponding visual component through a low-code parsing rendering engine, and generating a target display page. The invention further provides a front-end page creating device and equipment, a storage medium and a program product.

A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can leverage generative artificial intelligence (AI) and associated trained custom models to transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system leverages generative artificial intelligence (AI) and associated trained models to extract and organize document content, and to map the document content to appropriate target data structures that can be consumed by control systems and devices.

The present invention provides a method and device for recording database table information, comprising: obtaining database information of multiple databases; generating a shell script corresponding to each database based on the database information of each database; using the shell script to read the database table information of each database; generating an md file corresponding to each database based on the database information and the database table information; sending each md file to a Git repository, and using the Git repository to convert the md file into an initial data dictionary; comparing the initial data dictionary with a previously generated historical data dictionary to obtain a comparison result, and updating the initial data dictionary based on the comparison result to obtain a current data dictionary corresponding to each database. The method provided by the present invention can automatically maintain database table information of a database and record relevant differences, thereby reducing the difficulty of subsequent work.

The invention provides a vehicle repair file processing method and related equipment, and the method comprises the steps: receiving a vehicle repair file uploaded by a user, and recognizing the format of the vehicle repair file; converting the automobile repair file into a Markdown format by using a conversion method matched with the format of the automobile repair file to obtain a target automobile repair file; inputting the target automobile repair file into a preset language large model to obtain file content extracted by the language large model; and exporting the file content according to a preset business data format. In the scheme, the automobile repair file format is recognized and uniformly converted into the Markdown format, the problem of complex format analysis of multi-column typesetting, table nesting and image-text mixing is solved, the content is standardized, the standardized file is input into a large language model, the natural language understanding ability of the standardized file is utilized, professional terms are precisely recognized, and the structured content is extracted; the extracted content is exported according to the preset service format, so that unified management of the automobile repair file content is realized, and the data utilization rate is improved.

The invention relates to a signature processing method based on intelligent character recognition, which comprises the following steps: acquiring the page height of a file, and converting the file into a reference coordinate system according to the page height; automatically identifying key fields in the file; determining an initial signature area corresponding to the key field through an edge detection algorithm; through a template matching algorithm or a preset model, searching a region matched with the template in the file or determining a region output by the model, and determining a signature position; fusing the initial signature area with the signature position, and determining a target signature position; acquiring a timestamp, a geographic position and equipment information for performing signature operation at the target signature position; inputting the timestamp, the geographic position and the equipment information into a preset behavior model to obtain an abnormal behavior probability; and according to the abnormal behavior probability, determining whether to give an abnormal alarm.

The embodiment of the invention discloses a binary loadable file downloading method and device, equipment and a medium. The method comprises the steps that a binary intermediate file generated after a program source code is compiled and a binary link file of a module where the binary intermediate file is imported are obtained; converting the binary intermediate file into a binary loadable file according to the binary link file; in response to a downloading command stream, downloading the binary loadable file to a resource-constrained device to obtain a binary execution file; wherein the binary loadable file comprises a first segment, a function segment, a global segment and a code segment. According to the technical scheme provided by the embodiment of the invention, the downloading and execution efficiency of the WebAssessment module in the resource-constrained equipment can be improved, and the resource consumption of the equipment is reduced.

The invention belongs to the technical field of computer data processing, and discloses a method for analyzing data reported by equipment based on Protocol Buffer, which comprises the following steps of: S1, configuring a protobuf file according to service requirements; s2, the sending end generates a message data stream according to the data collected by the equipment; s3, the sending end sends the message data stream to a message server; s4, the receiving end converts the protobuf file into a class function which can be called by the Java code; and S5, the receiving end monitors the message server in real time, and constructs the data stream into a corresponding object through the Java class function of the protobuf after receiving the data stream issued by the message server. When the data collected by the equipment is changed, source codes do not need to be modified, only the protobuf file needs to be redefined, and a new class function is generated. When a large batch of data is processed, the data represented by protobuf can be more efficient, the compressed data is smaller, and the transmission efficiency is improved. Moreover, due to the fact that the data structure is defined in advance, data analysis is more efficient.

The invention relates to the field of computer software engineering, and provides a Java agency-based runtime dependency automatic acquisition method and system, and the method comprises the steps: injecting an Agent into a JVM in a non-intrusive manner through a javaagent parameter when a Java application is started; registering a class file converter in the Agent to monitor a class loading process; collecting system operation environment information; when a class loading event is monitored, the type of a class loader is identified, and specific modes are adopted for the three main types respectively to extract the real paths of the loaded JAR files; filtering and de-weighting the extracted paths; and finally, integrating the dependence information and the system information and asynchronously outputting the dependence information and the system information as structured data. The problems that static analysis cannot reflect dependency during operation, and an existing APM tool is coarse in collection granularity and does not support asset list generation are solved.