Intelligent information collection and summarization system

Abstract

The invention discloses an intelligent information collecting and summarizing system, and relates to the technical field of information management. The problems of high cost, potential safety hazards and low working efficiency in a traditional information collection mode are solved. The system comprises a user interface module, a data verification module, a data encryption module, a data storage module, an API interface module, a summary processing module, a data analysis and visualization module, an authority management module and an adaptive learning module. A user inputs data through an interface, the data are stored in a database after being verified and encrypted, then the data are transmitted to a summarizing processing module through an API interface to be processed, and an analysis result is displayed. The authority management module ensures that the system is safe and controllable, and the adaptive learning module optimizes the system according to user feedback. The method has a good application prospect in the field of information management.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to an intelligent information collection and aggregation system. Background Art

[0002] With the rapid development of information technology, all kinds of organizations are facing the challenge of collecting and managing a large amount of information in their daily operations. Although the traditional Excel spreadsheet method is widely used, it has many problems: information duplication and errors, heavy workload, insufficient data security, and delayed information updates. These shortcomings urgently need a more efficient, secure and intelligent information collection and aggregation system to improve work efficiency and data accuracy, especially for large projects or multi-department collaboration scenarios. Therefore, existing technologies can no longer meet the complexity and real-time nature of today's information management needs, and a new generation of intelligent information management systems is imperative. Summary of the invention

[0003] In order to solve the problems of high cost, potential safety hazards and low working efficiency in traditional information collection methods, the present invention provides an intelligent information collection and aggregation system, which includes: a user interface module, a data verification module, a data encryption module, a data storage module, an API interface module, a summary processing module, a data analysis and visualization module, a rights management module and an adaptive learning module;

[0004] The user interface module is used to collect user input data and send the user input data to the data verification module;

[0005] The data verification module is used to verify whether the user input data meets the preset standard, and send the input data that meets the preset standard to the data encryption module;

[0006] The data encryption module is used to encrypt and calibrate the input data that meets the preset standard to obtain encrypted data, and send the encrypted data to the data storage module;

[0007] The data storage module is used to store the encrypted data and transmit the encrypted data to the API interface module;

[0008] The API interface module is used to decrypt the encrypted data to obtain decrypted data, and send the decrypted data to the summary processing module;

[0009] The summary processing module is used to summarize the decrypted data to obtain summary data, and send the summary data to the data analysis and visualization module;

[0010] The data analysis and visualization module is used to analyze the summary data and display the analyzed data in the form of charts;

[0011] The permission management module is used to set multi-level permission control for the system, thereby defining user roles and managing user access rights;

[0012] The adaptive learning module is used to optimize the interface layout and function settings of the system according to user behavior and feedback.

[0013] Furthermore, the user interface module adopts a responsive design and supports mobile phones, tablets and computers.

[0014] Furthermore, the data verification module uses a machine learning algorithm to verify whether the user input data meets preset standards.

[0015] Furthermore, the data encryption module adopts SM4 encryption standard for encryption, adopts SM3 digest algorithm for calibration, and adopts SM2 algorithm for generating digital envelope.

[0016] Furthermore, the data storage module adopts a distributed storage architecture.

[0017] Furthermore, the API interface module adopts a RESTful API interface.

[0018] Furthermore, the authority management module defines multi-level authority control and user roles.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] The present invention can significantly reduce the workload of information collection and aggregation. Through the integrated platform, users can submit information in real time on a unified interface, reducing the problems of data duplication and format inconsistency caused by traditional Excel tables. In addition, the system adopts intelligent data verification and automatic aggregation functions to ensure the accuracy and consistency of information and improve the efficiency of data processing. The system also has advanced encryption technology and multi-level authority management to ensure data security and effectively prevent information leakage and tampering. At the same time, the system supports access from multiple devices, provides a user-friendly operating experience, and facilitates real-time feedback and data visualization. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a system architecture diagram of the present invention;

[0022] Figure 2 The data flow chart of the present invention. DETAILED DESCRIPTION

[0023] Example 1: Combination Figure 1 and Figure 2 This embodiment is described, an intelligent information collection and aggregation system, the system comprising: a user interface module, a data verification module, a data encryption module, a data storage module, an API interface module, a summary processing module, a data analysis and visualization module, a rights management module and an adaptive learning module;

[0024] The user interface module is used to collect user input data and send the user input data to the data verification module;

[0025] The data verification module is used to verify whether the user input data meets the preset standard, and send the input data that meets the preset standard to the data encryption module;

[0026] The data encryption module is used to encrypt and calibrate the input data that meets the preset standard to obtain encrypted data, and send the encrypted data to the data storage module;

[0027] The data storage module is used to store the encrypted data and transmit the encrypted data to the API interface module;

[0028] The API interface module is used to decrypt the encrypted data to obtain decrypted data, and send the decrypted data to the summary processing module;

[0029] The summary processing module is used to summarize the decrypted data to obtain summary data, and send the summary data to the data analysis and visualization module;

[0030] The data analysis and visualization module is used to analyze the summary data and display the analyzed data in the form of charts;

[0031] The permission management module is used to set multi-level permission control for the system, thereby defining user roles and managing user access rights;

[0032] The adaptive learning module is used to optimize the interface layout and function settings of the system according to user behavior and feedback.

[0033] Specifically, the summary processing module uses a preset summary template to organize the information into reports in various formats (such as text, tables, charts, etc.). The summary results can be exported to PDF, CSV, Excel and other formats with one click, which is convenient for users to share and archive.

[0034] The data analysis and visualization module provides users with trend analysis, comparative analysis and other operations through built-in data analysis tools. It realizes real-time visualization of information through chart libraries (such as Chart.js, D3.js, etc.), displays key indicators and data trends in the form of dashboards, and helps users quickly obtain decision-making information.

[0035] The user interface module adopts a responsive design and supports mobile phones, tablets and computers.

[0036] Specifically, the user interface module can develop a dynamic interface through a front-end framework (such as React, Vue, etc.). Each piece of information has a unique, customizable ID. Users submit information in the form of tables, graphical forms, etc. The content of tables and forms can be customized according to specific needs, and a real-time feedback mechanism is provided. Users can immediately receive prompts of success or failure after submitting the information. After completing the information filling, the user can choose to sign with a digital certificate. The system will automatically generate a signature hash value and attach it to the data record. By combining the SM2 public key encryption algorithm with the SM3 summary algorithm, the electronic signature can not only verify the identity of the submitter, but also ensure the integrity and non-repudiation of the data. At the same time, the system will encrypt and store each signing operation, record the signing time, signer and signature content, for subsequent auditing and compliance tracing.

[0037] The data verification module uses a machine learning algorithm to verify whether the user input data meets the preset standards.

[0038] Specifically, the data verification module can automatically generate and update verification rules by analyzing historical data to ensure that the format and content of the submitted information meet the preset standards. Users can also customize verification rules to meet specific needs.

[0039] The data encryption module uses the SM4 encryption standard for encryption, uses the SM3 digest algorithm for calibration, and uses the SM2 algorithm to generate a digital envelope.

[0040] The data storage module adopts a distributed storage architecture.

[0041] Specifically, the data storage module adopts a distributed architecture and cloud storage service, supports local and cloud storage options, and uses a database as the backend storage to ensure high availability and security of data. Through this design, the system achieves efficient management and reliable access to large-scale data, and improves the scalability and flexibility of the system.

[0042] The API interface module adopts a RESTful API interface.

[0043] Specifically, the API interface module adopts the RESTful API interface, supports multi-language calls, and realizes automatic data interaction between external systems and information management systems. By simplifying operation triggers and promoting system integration, users can easily implement information submission and aggregation operations in different programming environments, thereby optimizing the information management process.

[0044] The authority management module defines multi-level authority control and user roles.

[0045] Specifically, the permission management module uses RBAC to implement multi-level permission control, supports user role definition, and administrators monitor user activities and generate access logs to audit compliance. Through RBAC, permission allocation and management of different roles are achieved to ensure system security and data access controllability.

[0046] Embodiment 2: A deployment optimization method for an intelligent information collection and aggregation system, the method comprising:

[0047] S1.Environmental preparation:

[0048] 1. Ensure that the server has a development environment that meets the requirements of this system, including operating system, programming language, selected database and related dependent environment to ensure environmental compatibility.

[0049] 2. Install necessary software and toolkits, such as server-side language runtime environment, database driver, web server that supports RESTful API, etc.

[0050] 3. Pre-deploy ONLYOFFICE office suite to support information entry, saving and document editing functions.

[0051] S2. System deployment:

[0052] 1. Deploy the front-end code and back-end services to the server separately to ensure that the services can run normally, access the database, call the API interface, and complete the front-end and back-end linkage.

[0053] 2. During the deployment process, to ensure the secure transmission of data, configure encryption protocols such as HTTPS and SSL certificates.

[0054] 3.Integrate ONLYOFFICE as a tool for data filling and saving.

[0055] 4. For multi-node storage, configure a distributed storage architecture to improve the reliability of data storage and the scalability of the system.

[0056] S3. User training:

[0057] 1. Develop a detailed user training plan and provide targeted training content for users of different roles (such as administrators, data entry clerks, etc.).

[0058] 2. Demonstrate the operational flow of system functions and explain how to use the main functional modules such as information submission, batch import, data aggregation and multi-dimensional analysis to help users get started quickly.

[0059] S4. Real-time monitoring and maintenance:

[0060] 1. During system operation, administrators need to use monitoring tools within the system to regularly check user activity records and data storage status to promptly identify and handle potential problems.

[0061] 2. Implement data encryption, backup and recovery solutions to ensure data security and high availability. Regularly update system patches and dependent libraries to fix security vulnerabilities.

[0062] 3. Configure the alarm mechanism. Once a system abnormality is detected, a notification will be automatically sent so that the administrator can intervene in time to ensure stable operation of the system.

[0063] S5. Feedback and Optimization:

[0064] 1. Collect user feedback, identify deficiencies in system functions and user experience, and develop and implement optimization and improvement plans.

[0065] 2. Based on user suggestions, regularly evaluate system requirements and update and upgrade system functions, such as improving data analysis modules and perfecting permission management modules.

[0066] 3. During system optimization, focus on improving user experience, such as simplifying the user interface, improving operational fluency, and optimizing ONLYOFFICE performance.

Claims

1. An intelligent information collection and aggregation system, characterized in that: The system includes: a user interface module, a data verification module, a data encryption module, a data storage module, an API interface module, a summary processing module, a data analysis and visualization module, a rights management module and an adaptive learning module; The user interface module is used to collect user input data and send the user input data to the data verification module; The data verification module is used to verify whether the user input data meets the preset standard, and send the input data that meets the preset standard to the data encryption module; The data encryption module is used to encrypt and calibrate the input data that meets the preset standard to obtain encrypted data, and send the encrypted data to the data storage module; The data storage module is used to store the encrypted data and transmit the encrypted data to the API interface module; The API interface module is used to decrypt the encrypted data to obtain decrypted data, and send the decrypted data to the summary processing module; The summary processing module is used to summarize the decrypted data to obtain summary data, and send the summary data to the data analysis and visualization module; The data analysis and visualization module is used to analyze the summary data and display the analyzed data in the form of charts; The permission management module is used to set multi-level permission control for the system, thereby defining user roles and managing user access rights; The adaptive learning module is used to optimize the interface layout and function settings of the system according to user behavior and feedback.

2. According to claim 1, the intelligent information collection and aggregation system is characterized in that: The user interface module adopts a responsive design and supports mobile phones, tablets and computers.

3. The intelligent information collection and aggregation system according to claim 1, characterized in that: The data verification module uses a machine learning algorithm to verify whether the user input data meets the preset standards.

4. The intelligent information collection and aggregation system according to claim 1, characterized in that: The data encryption module uses the SM4 encryption standard for encryption, uses the SM3 digest algorithm for calibration, and uses the SM2 algorithm to generate a digital envelope.

5. The intelligent information collection and aggregation system according to claim 1, characterized in that: The data storage module adopts a distributed storage architecture.

6. The intelligent information collection and aggregation system according to claim 1, characterized in that: The API interface module adopts a RESTful API interface.

7. The intelligent information collection and aggregation system according to claim 1, characterized in that: The authority management module defines multi-level authority control and user roles.

8. A deployment optimization method for an intelligent information collection and aggregation system, wherein the intelligent information collection and aggregation system is an intelligent information collection and aggregation system as claimed in claims 1 to 7, characterized in that: The method comprises: S1. Environmental preparation, including: ensuring that the server meets the requirements of the intelligent information collection and aggregation system, installing necessary software tools, and deploying ONLYOFFICE office suite; S2. System deployment, including: deploying front-end and back-end services on the server respectively, ensuring their normal operation and mutual linkage, configuring secure transmission protocols to ensure data transmission security, integrating ONLYOFFICE for data filling and saving, and configuring distributed storage architecture; S3. User training, specifically including: formulating a detailed training plan, providing targeted training content for users of different roles, and teaching users how to use the intelligent information collection and aggregation system by demonstrating the functional operation process of the intelligent information collection and aggregation system; S4. Real-time monitoring and maintenance, specifically including: the administrator regularly uses monitoring tools to check user activity records and data storage status, implements data encryption, backup and recovery solutions to ensure data security and high availability, regularly updates the intelligent information collection and aggregation system patches and dependent libraries to fix security vulnerabilities, and configures an alarm mechanism; S5. Feedback and optimization, specifically including: by collecting user feedback, identifying the deficiencies in the functions and user experience of the intelligent information collection and aggregation system, and implementing optimization and improvement plans, regularly evaluating the needs of the intelligent information collection and aggregation system and updating its functions, while paying attention to improving user experience, simplifying the user interface, improving operational fluency, and optimizing ONLYOFFICE performance.

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