Intelligent enterprise document processing and analyzing system and method

Abstract

The invention relates to the technical field of artificial intelligence information, and provides an enterprise document intelligent processing and analyzing system and method. The system comprises a document acquisition module, a document analysis module, a task management module, a data interaction layer and a hardware acceleration unit. The document acquisition module acquires document data from document resources in an enterprise; the document analysis module intelligently analyzes the document data and generates a structured report; the task management module schedules processing tasks according to the analysis report; the data interaction layer provides a standardized data interface; and the hardware acceleration unit provides calculation acceleration for the analysis process. According to the method and the system, the problems of low processing efficiency, weak analysis capability and insufficient system integration level of documents in enterprises are solved, full-process automatic processing of the documents from acquisition, analysis to task triggering is realized, and the intelligent level and the business response efficiency of document processing are remarkably improved.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence and information technology, and in particular to an intelligent processing and analysis system and method for enterprise documents. Background Technology

[0002] With the increasing level of enterprise informatization, the number of internal technical documents, research reports, and other electronic documents has increased dramatically, and the types and content of these documents have become more diverse. Currently, when employees access and process internal documents, they typically need to log into different document management systems to search, download them to their local computers, and then open and analyze them using the corresponding office software. Although enterprises may set up shared folders or deploy document management systems, existing technologies still have significant shortcomings: First, the search methods are limited, making it difficult to accurately locate the required documents through multi-dimensional combinations of conditions; second, there is a lack of intelligent analysis capabilities for document content, making it impossible to automatically extract key technical and business information; third, the document acquisition, analysis, and application stages are independent of each other, failing to form an automated processing loop; and finally, documents from different departments are isolated, making it difficult to achieve effective knowledge association and sharing. Therefore, there is an urgent need for a dedicated system that can achieve fully automated document processing and intelligent analysis throughout the entire process. Summary of the Invention

[0003] The purpose of this invention is to provide a document intelligent processing system and method to solve the problems of low document processing efficiency, weak analysis capabilities and insufficient system integration in the prior art.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a document intelligent processing system, including a document acquisition module, a document analysis module, a task management module, a data interaction layer, and a hardware acceleration unit; The document acquisition module is communicatively connected to at least one enterprise internal document database and is used to retrieve and download internal document data according to preset conditions. The document analysis module is connected to the document acquisition module and is used to perform text parsing and intelligent analysis on the downloaded internal document data, and generate a structured analysis report. The task management module is connected to the document analysis module and is used to create and manage processing tasks based on the structured analysis report, track task status, and record system logs. The data interaction layer is communicatively connected to the document acquisition module, document analysis module and task management module, respectively, and is used to provide a standardized data interaction interface to realize data communication between modules within the system and with other business systems within the enterprise. The hardware acceleration unit is connected to the document analysis module and is used to provide computational acceleration support for the intelligent analysis process of the document analysis module.

[0005] Secondly, the present invention provides a document intelligent processing method, comprising the following steps: System initialization steps: Load system configuration parameters, initialize the connection and analysis model with the enterprise's internal database, and start the logging and monitoring services; Document retrieval and download steps: Perform a multi-dimensional combined search on the company's internal document resources, sort and deduplicate the search results, and download the target documents in batches; Document analysis steps: Extract internal document content, call a pre-trained language model for deep semantic parsing, and generate a structured analysis report; Task management steps: Parse the structured analysis report, schedule tasks according to predefined business rules, and track task status and handle anomalies throughout the process; Internal system integration steps: Use standardized interfaces to call services from other business systems within the enterprise to complete data synchronization, report generation, or task notification.

[0006] The present invention has the following beneficial effects: Modular design enables end-to-end automation of documents from acquisition and parsing to application, significantly improving processing efficiency.

[0007] Deep semantic analysis using pre-trained language models can automatically extract key technologies and business information, enhancing knowledge discovery capabilities.

[0008] By providing standardized interfaces through the data interaction layer, seamless integration with existing business systems within the enterprise is achieved, solving the problem of information silos.

[0009] The system is built on the enterprise's internal network and integrates security control mechanisms to ensure the security and controllability of technical data and trade secrets. Attached Figure Description

[0010] Figure 1 This is an overall architecture block diagram of a document intelligent processing system provided in an embodiment of the present invention.

[0011] Figure 2 This is a flowchart of the steps of a document intelligent processing method provided in an embodiment of the present invention.

[0012] Figure 3 This is a detailed block diagram of a document acquisition module provided in an embodiment of the present invention.

[0013] Figure 4 This is a detailed block diagram of a document analysis module provided in an embodiment of the present invention.

[0014] Figure 5 This is a detailed block diagram of a task management module provided in an embodiment of the present invention. Detailed Implementation

[0015] The present invention will be further described in detail below with reference to the accompanying drawings.

[0016] Please see Figure 1 The document intelligent processing system of the present invention mainly includes a document acquisition module 100, a document analysis module 200, a task management module 300, a data interaction layer 400, and a hardware acceleration unit 500.

[0017] Please see Figure 3 The document acquisition module 100 includes a retrieval unit 110, a download unit 120, and a stability control submodule 130. The retrieval unit 110 establishes a secure connection with internal document resources via the enterprise intranet, supports the construction of combined search queries, and performs relevance scoring and ranking of search results. The download unit 120 downloads target documents in batches using a client configured with multi-threading and breakpoint resume mechanisms based on the ranking results. The stability control submodule 130 monitors the retrieval and download process and triggers a retry mechanism based on an exponential backoff algorithm when network anomalies are encountered.

[0018] Please see Figure 4 The document analysis module 200 includes a text extraction unit 210, an intelligent parsing unit 220, and a report generation unit 230. The text extraction unit 210 uses a parsing library to extract the main text, chart titles, and core content from PDF and Word documents. The intelligent parsing unit 220 calls a pre-trained language model deployed on the hardware acceleration unit 500, performs deep semantic encoding on the text through an attention mechanism, and performs named entity recognition to extract key technical entities. The report generation unit 230 integrates the identified structured information and metadata to generate a compliant JSON format analysis report.

[0019] Please see Figure 5 The task management module 300 includes a status tracking subunit 310, a log recording subunit 320, and an exception handling subunit 330. The status tracking subunit 310 assigns a unique identifier to each processing task and updates its status in real time. The log recording subunit 320 records detailed operation logs during task execution. The exception handling subunit 330 classifies failed tasks as errors and triggers automatic retry or alarm notifications based on the classification results.

[0020] The data interaction layer 400 is implemented based on a RESTful architecture, providing standardized API interfaces for both internal and external systems, and integrating API key authentication and access frequency control mechanisms.

[0021] The hardware acceleration unit 500 consists of a GPU server and a high-speed storage array, providing parallel computing support for model inference in the document analysis module and providing high-speed storage services for document data and analysis results.

[0022] Please see Figure 2 The document intelligent processing method of this invention includes the following steps: S101: System Initialization. Loads system configuration parameters, initializes the connection and analysis model with the enterprise's internal database, and starts logging and monitoring services.

[0023] S102: Document Retrieval and Download. Perform multi-dimensional combined searches on internal enterprise document resources, sort and deduplicate the search results, and download target documents in batches.

[0024] S103: Document Analysis. Extract internal document content, call a pre-trained language model for deep semantic parsing, and generate a structured analysis report.

[0025] S104: Task Management. Parse the structured analysis report, schedule tasks according to predefined business rules, and track task status and handle anomalies throughout the process.

[0026] S105: Internal System Integration. This involves using standardized interfaces to call services from other internal business systems to achieve data synchronization, report generation, or task notification.

[0027] The embodiments of the present invention are particularly applicable to scenarios such as technical document management in manufacturing enterprises, knowledge discovery in R&D institutions, defect identification in quality management departments, and cross-departmental technical collaboration.

[0028] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An intelligent document processing and analysis system for enterprises, characterized in that, The system includes a document acquisition module, a document analysis module, a task management module, a data interaction layer, and a hardware acceleration unit. The document acquisition module retrieves document data from internal enterprise document resources. The document analysis module, connected to the document acquisition module, performs intelligent analysis on the document data and generates structured analysis reports. The task management module, also connected to the document analysis module, schedules and processes tasks based on the analysis reports. The data interaction layer provides standardized data interaction interfaces for various system modules and external systems. The hardware acceleration unit, connected to the document analysis module, provides computational acceleration support for the intelligent analysis process.

2. The document intelligent processing system according to claim 1, characterized in that, The document acquisition module includes a retrieval unit, a download unit, and a stability control submodule; the retrieval unit supports multi-dimensional combined retrieval and sorts the retrieval results by relevance; the download unit supports batch downloading and resume downloading from interrupted points; the stability control submodule automatically executes a retry mechanism when there is a network anomaly.

3. The document intelligent processing system according to claim 2, characterized in that, The relevance scoring algorithm configured in the retrieval unit comprehensively considers the keyword weights in the document title, abstract, and full text.

4. The document intelligent processing system according to claim 2, characterized in that, The retrieval unit also includes a deduplication subunit, which removes duplicates from the retrieval results by comparing the unique identifiers of the documents.

5. The document intelligent processing system according to claim 1, characterized in that, The document analysis module includes a text extraction unit, an intelligent parsing unit, and a report generation unit; the text extraction unit supports text content extraction from various document formats; the intelligent parsing unit performs deep semantic analysis based on a pre-trained language model; and the report generation unit outputs a structured analysis report.

6. The document intelligent processing system according to claim 5, characterized in that, The intelligent analysis unit assesses the confidence level of the analysis results and marks the results with low confidence level.

7. The document intelligent processing system according to claim 1, characterized in that, The task management module includes a status tracking subunit, a log recording subunit, and an exception handling subunit; the status tracking subunit monitors the task execution status in real time; the log recording subunit records a complete task lifecycle log; and the exception handling subunit executes corresponding processing strategies based on the error type.

8. The document intelligent processing system according to claim 1, characterized in that, The data interaction layer is implemented based on the RESTful architecture and integrates identity authentication and access control mechanisms.

9. The document intelligent processing system according to claim 1, characterized in that, The hardware acceleration unit includes a graphics processor and a high-speed storage array, which provide computing acceleration and data storage support, respectively.

10. A document intelligent processing method, characterized in that, Includes the following steps: System initialization steps: Load configuration parameters and initialize system services; Document processing steps: Perform document retrieval, download, and analysis; Task management steps: Schedule and process tasks based on analysis results; System integration steps: Complete data interaction with external systems through standardized interfaces.

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