Management system for converting case from litigation type to execution case

Abstract

The invention provides a management system for converting a case from a litigation type to an execution case, and relates to the technical field of converting a litigation type case to an execution case. Comprising a data processing module, an intelligent identification module, an automatic matching module, a document generation module, a user interface module, a data integration module and a security module, automatic matching of elements and conversion of litigation documents are improved, manual operation is facilitated, manual operation is reduced through automatic document generation and case allocation, and the efficiency of the litigation documents is improved. The case processing efficiency is improved, document errors and case processing delay caused by manual errors are reduced through intelligent recognition and automatic matching, legal changes are considered in system design, new legal requirements and process changes can be flexibly adapted, continuous technical support is provided, stable operation of the system is ensured, manual requirements are reduced through automatic processing, and the efficiency of case processing is improved. Therefore, the labor cost is reduced, and unnecessary document printing and storage resources are reduced by optimizing the process.

Description

Technical Field

[0001] The present invention belongs to the technical field of converting litigation cases into execution cases, and specifically relates to a management system applied to converting litigation cases into execution cases. Background Art

[0002] With the increase in the number of legal proceedings, courts and enforcement agencies are facing the problem of case backlogs and need a more efficient case handling process. In order to improve judicial efficiency and reduce the waste of judicial resources, new technical means need to be introduced to optimize case management.

[0003] With the continuous improvement of laws and regulations, the handling of enforcement cases has become more complicated and requires a more sophisticated management system. The enforcement procedure involves multiple links, including property investigation, compulsory execution, and objection handling. A system is needed to coordinate these links. The rapid development of information technology has provided technical support for the development of case management systems, such as big data, cloud computing, and artificial intelligence. The popularity of mobile devices allows case managers to access case information anytime and anywhere, improving work efficiency. Case managers and parties have an increasing demand for case management systems and hope that the system can provide more convenient and efficient services. In order to improve service quality, the system needs to have the ability to respond quickly and handle cases accurately.

[0004] At present, after the existing litigation cases are concluded, the documents need to be sorted out and resubmitted to the litigation cases, which requires manual form element matching and document screening one by one, which is time-consuming. Therefore, technical personnel in this field provide a management system for converting cases from litigation types to execution cases to solve the above-mentioned technical problems. Summary of the invention

[0005] To solve the technical problem, the present invention adopts the following technical solutions: including: a data processing module, used to receive and process case data, including basic case information, documents, and evidence; an intelligent recognition module, based on natural language processing (NLP) and machine learning algorithms, automatically identifies case types, elements, and document templates; an automatic matching module, automatically extracts key elements from case documents, and matches them with the elements required for executing the case; a document generation module, automatically selects a suitable document template according to the matching results, and fills in relevant information to achieve automatic document generation; a user interface module, providing an intuitive and easy-to-use user interface, simplifying the operation process, and improving user experience; a data integration module, realizing data integration with other systems within the court to ensure data consistency and real-time updating; a security module, using encryption technology to protect sensitive data and prevent data leakage; a system monitoring module, implementing system monitoring to ensure stable system operation.

[0006] Preferably, the intelligent identification module further includes: a model training module, which uses a machine learning algorithm to train case data and establish a prediction model; and a model optimization module, which adjusts and optimizes the model according to the test results.

[0007] Preferably, the automatic matching module further comprises: an OCR technology integration module, which integrates optical character recognition (OCR) technology to automatically recognize text in a document; an element extraction and matching algorithm, which extracts key elements from the recognized text and matches them with preset element templates.

[0008] Preferably, the document generation module further includes: a template library for storing a variety of document templates; and a document review module for conducting a preliminary review of the generated documents to ensure the accuracy and legality of the documents:

[0009] Preferably, the data integration module further comprises: a data synchronization mechanism to ensure seamless transfer of case information during litigation and execution stages; a data interface to enable data exchange with other court internal systems;

[0010] Preferably, the security module further includes: an encryption algorithm for encrypting sensitive data; and access control for limiting access rights to sensitive data.

[0011] Preferably, the system includes the following specific processes:

[0012] S1. Case submission: The user submits case information and the system receives case data;

[0013] S2. Case identification and allocation: The system uses the intelligent identification module to automatically identify the case type and intelligently allocates the case according to the case type;

[0014] S3. Document generation and processing: The system automatically matches case elements, selects appropriate document templates, and generates corresponding legal documents;

[0015] S4. Case information management: The system manages case information, including case status tracking and document storage;

[0016] S5. Execution process monitoring: The system monitors the case execution process to ensure that the case proceeds according to the predetermined process;

[0017] S6. Enforcement case processing: The system processes enforcement cases, including case execution and document delivery;

[0018] S7. Data analysis and reporting: The system analyzes case data and generates reports to support decision-making;

[0019] S8. User Interface and Interaction: The system provides a user-friendly interface that allows users to interact with the system;

[0020] S9. System monitoring and maintenance: The system monitors its own operating status and performs necessary maintenance and updates.

[0021] Preferably, a machine learning algorithm is used, such as a decision tree or a support vector machine; model optimization: the model parameters are adjusted according to the actual application scenario to improve the recognition accuracy.

[0022] Preferably, case data is collected for model training; the case data is trained using a machine learning algorithm; and model parameters are optimized to improve recognition accuracy.

[0023] Preferably, key elements are extracted from the case data; corresponding legal document templates are matched based on the extracted elements; and matching results are generated for use by the document generation module.

[0024] Preferably, a suitable document template is selected from the template library; the matching result generated by the automatic matching module is filled into the template; and the final legal document is generated.

[0025] Preferably, after the case status of the litigation case is divided (excluding pending division & in the process of division), check the corresponding case operation to transfer to execution, the system will automatically match the element information of the corresponding case, and the documents of the litigation case will be brought to the execution case, including employee authorization letter, lawyer authorization letter, law firm letter, delivery address confirmation letter, defendant's identity certificate, execution basis (documents generated when the case is closed, including civil judgment, relevant rulings generated when abnormal cases are closed, and mediation documents)

[0026] Preferably, cases converted from litigation will be marked in subsequent enforcement cases, and the source will be labeled with the basis for execution (litigation). In this way, case handlers can clearly see the documents and detailed element information before the litigation case. After conversion to enforcement cases, they can also flow normally in the enforcement system and can be operated in the same way as ordinary enforcement cases.

[0027] Preferably, the matching case information obtains the old elements from the original element table and compares them with the new execution, such as the name of the defendant / respondent, the defendant / respondent ID number, the defendant / respondent type, the defendant / respondent corporate legal person, the defendant / respondent mobile phone number, the respondent address of the application for execution / civil judgment, the previous case number, the application matters, facts and reasons, the applicant, the cause of action and the case-related elements, and matches them with the elements of the execution case. For public element matching, the newly added elements can be extracted from the documents.

[0028] Preferably, the matching case information obtains the old elements from the original element table and compares them with the new execution, such as the name of the defendant / respondent, the defendant / respondent ID number, the defendant / respondent type, the defendant / respondent corporate legal person, the defendant / respondent mobile phone number, the respondent address of the application for execution / civil judgment, the previous case number, the application matters, facts and reasons, the applicant, the cause of action and the case-related elements, and matches them with the elements of the execution case. For public element matching, the newly added elements can be extracted from the documents.

[0029] Preferably, machine learning algorithms (including natural language processing and pattern recognition) are used to classify case data, automatically identify case types, extract key information from case descriptions, such as party information, case nature, and litigation requests, analyze the extracted key elements, determine the type and format of documents required for the case, select a suitable document template from a predefined template library based on the case type and elements, automatically fill the case information into the selected document template, generate preliminary documents, conduct content review on the generated documents to ensure their legality and accuracy, adjust the layout and format of the documents according to the standard format of legal documents, and output the documents that have finally passed the review into a usable format.

[0030] Preferably, users access the system through a secure login mechanism, providing an intuitive operating interface that allows users to perform case inquiries, document management, and process monitoring operations.

[0031] Compared with the prior art, the beneficial effects are as follows:

[0032] The present invention improves the automatic matching of elements and the conversion of litigation documents, facilitates manual operation, reduces manual operation and improves the efficiency of case handling through automated document generation and case allocation, and reduces document errors and case handling delays caused by human errors through intelligent recognition and automatic matching. The system design takes legal changes into consideration and can flexibly adapt to new legal requirements and process changes, provide continuous technical support and ensure stable operation of the system. Automated processing reduces manual demand, thereby reducing labor costs, and reduces unnecessary document printing and storage resources by optimizing processes. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the management system architecture of the present invention;

[0034] Figure 2 It is a schematic diagram of the system steps of the present invention;

[0035] Figure 3 It is a schematic diagram of the system flow framework of the present invention;

[0036] Figure 4 is a schematic diagram of the system interface of the present invention, DETAILED DESCRIPTION

[0037] The present invention is described below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. Any modification and improvement made without changing the inventive concept belongs to the protection scope of the present invention.

[0038] Embodiment 1:

[0039] This embodiment will describe in detail the practical application of a management system for converting cases from litigation types to execution cases, including system architecture, data processing flow and key technology implementation.

[0040] With the increasing complexity of legal affairs and the surge in the number of cases, the efficiency and user experience of the case management system have become the key to improving judicial efficiency and service quality. This embodiment aims to build an efficient and convenient case management system through intelligent processing and automated element matching technology to optimize the process of converting litigation types into execution cases.

[0041] This system adopts modular design and mainly includes the following modules:

[0042] Data processing module;

[0043] Intelligent recognition module;

[0044] Automatic matching module;

[0045] Document generation module;

[0046] Case information management module;

[0047] Execution process monitoring module;

[0048] User interface and interaction module;

[0049] System monitoring and maintenance module;

[0050] refer to Figure 1-Figure 3 ,Take the following specific implementation steps,data processing module.

[0051] parameter:

[0052] Data reception: supports multiple data formats, such as XML and JSON.

[0053] Data cleaning: Automatically identify and correct errors in data, such as date format and text spelling.

[0054] Data storage: Use relational database management system, such as MySQL, to ensure data security and integrity.

[0055] Implementation steps: Receive case data; clean the data to ensure data quality; store the cleaned data in the database.

[0056] Intelligent recognition module, parameters:

[0057] Model training: Use machine learning algorithms such as decision trees and support vector machines; Model optimization: Adjust model parameters according to actual application scenarios to improve recognition accuracy.

[0058] Implementation steps: Collect case data for model training; use machine learning algorithms to train case data; optimize model parameters to improve recognition accuracy.

[0059] Automatic matching module

[0060] parameter:

[0061] Element extraction: extract key elements from case data, such as case type and party information;

[0062] Element matching: Match the corresponding legal document template based on the extracted elements.

[0063] Implementation steps: Extract key elements from case data; match corresponding legal document templates based on the extracted elements; generate matching results for use by the document generation module.

[0064] Document generation module, parameters:

[0065] Template library: stores various legal document templates, such as indictments and defense statements;

[0066] Document filling: Fill the elements in the matching results into the template to generate the final document.

[0067] Implementation steps: Select a suitable document template from the template library; fill the matching results generated by the automatic matching module into the template; generate the final legal document.

[0068] Case information management module, parameters:

[0069] Case status tracking: real-time update of case status, such as submitted, assigned, processed; document storage: case-related documents are stored in the database for easy query and management.

[0070] Implementation steps: Update case status in real time; store case-related documents in the database.

[0071] Execution process monitoring module, parameters:

[0072] Execution process monitoring: real-time monitoring of the case execution process to ensure that the case proceeds according to the predetermined process; exception handling: when an exception occurs during the case execution process, timely notify relevant personnel.

[0073] Implementation steps: Monitor the case execution process in real time; when an abnormality occurs, notify relevant personnel to handle it.

[0074] User interface and interaction module, parameters:

[0075] Operation interface: simple and intuitive operation interface, convenient for users to use; user interaction: provides case query and status tracking functions.

[0076] Implementation steps: Design a simple and intuitive operation interface; implement case query and status tracking functions.

[0077] System monitoring and maintenance module, parameters:

[0078] Performance monitoring: real-time monitoring of system performance, such as response time and resource utilization; fault diagnosis: when a system failure occurs, quickly locate and solve the problem.

[0079] Implementation steps: Monitor system performance in real time; when a fault occurs, quickly locate and solve the problem.

[0080] This embodiment builds an efficient and convenient case management system through intelligent processing and automatic element matching technology. The system has the following features:

[0081] Improve case handling efficiency and reduce labor costs;

[0082] Improve user experience and simplify operation process;

[0083] Ensure case information is accurate and complete;

[0084] Monitor the case execution process in real time to improve judicial efficiency.

[0085] Example 2: The following are specific examples of implementing the case management system in different scenarios, each of which includes specific parameters and implementation steps:

[0086] Scenario 1: Case management of large law firms

[0087] Description of the embodiment: Large law firms need to handle a large number of cases, including litigation, arbitration, and mediation, requiring the system to be highly automated and intelligent.

[0088] Specific parameters:

[0089] Case types: litigation, arbitration, mediation, consulting.

[0090] Intelligent allocation rules: based on case complexity, lawyer expertise, and case urgency.

[0091] Document templates: Customized document templates are provided for different case types.

[0092] Implementation steps:

[0093] Case submission: Clients submit cases through the law firm’s website or mobile app.

[0094] Intelligent Identification: The system automatically identifies the case type and assigns it to the appropriate lawyer.

[0095] Document generation: The system automatically generates documents based on case type and lawyer expertise.

[0096] Case tracking: Lawyers track case progress in real time through the system.

[0097] Execution monitoring: The system monitors the case execution process to ensure it is completed on time.

[0098] Scenario 2: Case management within the court

[0099] Embodiment description:

[0100] The court needs to efficiently manage litigation cases, including case allocation, document preparation, and execution supervision.

[0101] Specific parameters:

[0102] Case types: civil, criminal, administrative.

[0103] Allocation rules: based on the judge’s expertise, the nature of the case, and the urgency of the case.

[0104] Document templates: standardized indictments and judgments.

[0105] Implementation steps:

[0106] Case registration: The case registration court registers case information.

[0107] Intelligent allocation: The system automatically assigns cases to corresponding judges based on case information.

[0108] Document production: Judges produce documents through the system.

[0109] Execution supervision: The Execution Bureau monitors the execution of cases through the system.

[0110] Data analysis: The system generates case analysis reports regularly.

[0111] Scenario 3: Corporate Legal Case Management

[0112] Embodiment description:

[0113] Corporate legal departments need to manage daily legal affairs, including contract review, compliance review, and dispute resolution.

[0114] Specific parameters:

[0115] Case types: contract disputes, labor disputes, intellectual property rights.

[0116] Automated tools: Contract review software, compliance checklists.

[0117] Mobile application: supports legal staff to handle cases anytime and anywhere.

[0118] Implementation steps:

[0119] Contract review: Legal staff reviews contracts through the system.

[0120] Compliance Check: The system automatically checks compliance.

[0121] Dispute resolution: The system records the dispute resolution process.

[0122] Risk Assessment: The system assesses potential risks.

[0123] Report generation: The system generates legal affairs reports.

[0124] Scenario 4: Online legal service platform

[0125] Embodiment description:

[0126] The online legal service platform provides users with online consultation, document preparation, and case tracking services.

[0127] Specific parameters:

[0128] User type: individual, enterprise, lawyer.

[0129] Intelligent question and answer: Intelligent question and answer system based on natural language processing technology.

[0130] Self-service document: Users can generate legal documents by themselves.

[0131] Implementation steps:

[0132] User consultation: Users submit legal consultation through the platform.

[0133] Intelligent Q&A: The system provides preliminary legal advice.

[0134] Document production: Users can generate documents by themselves according to system prompts.

[0135] Case tracking: Users track the progress of cases through the platform.

[0136] User evaluation: Users evaluate the service.

[0137] Through these implementation examples in different scenarios, it can be seen that the case management system can be adjusted and optimized according to different needs and application environments to improve the efficiency of legal affairs processing and user experience.

[0138] Comparative Example: The following is a comparison between the technology proposed in the above embodiment and the prior art:

[0139] Data processing module,Existing technology: Data processing usually relies on manual input and simple data verification, and data storage uses traditional file systems or simple databases, lacking unified data management standards.

[0140] This embodiment: introduces a data cleaning function to automatically identify and correct data errors, improve data quality, and use a relational database management system (such as MySQL) to provide a safer and more reliable data storage and retrieval mechanism.

[0141] Intelligent Identification Module,Existing Technology: Case type identification relies on manual classification, which is inefficient and error-prone, lacks an automated identification system, and relies on experienced legal professionals.

[0142] This embodiment: uses machine learning algorithms (such as decision trees and support vector machines) to automatically identify case types, and improves recognition accuracy and automation through model training and optimization.

[0143] Automatic matching module,Existing technology: Document generation usually relies on manual selection of templates and manual filling of information, which is inefficient and lacks an intelligent matching system, resulting in a cumbersome document generation process.

[0144] This embodiment: automatically extracts key elements from case data, realizes intelligent matching with legal document templates, automatically fills in templates, generates documents that comply with legal provisions, and improves the efficiency and accuracy of document generation.

[0145] Document generation module, existing technology: document templates are usually fixed, lack flexibility, and cannot adapt to the specific needs of different cases. The document generation process relies on manual labor and is prone to errors.

[0146] This embodiment provides a diverse document template library to meet the document requirements of different case types, automates the document generation process, and reduces human errors.

[0147] Case Information Management Module,Existing Technology: Case information management uses a decentralized file system or multiple independent systems,,making data difficult to integrate and share.

[0148] This embodiment: realizes centralized management of case information, facilitates data sharing and collaboration across departments and systems, provides case status tracking function, and updates case information in real time.

[0149] Execution process monitoring module,Existing technology: Execution process monitoring relies on manual supervision, which is inefficient and difficult to achieve real-time monitoring.

[0150] This embodiment realizes automated execution process monitoring and real-time tracking of case execution status. The system can automatically identify anomalies and promptly notify relevant personnel to handle them.

[0151] User interface and interaction module, existing technology: the user interface is not intuitive enough, the operation is complicated, and the user experience is poor.

[0152] This embodiment: designs a simple and intuitive user interface, improves user experience, and provides convenient user interaction functions, such as case query and status tracking.

[0153] System monitoring and maintenance module,Existing technology: System monitoring and maintenance rely on manual operations, making it difficult to achieve real-time monitoring and fault diagnosis.

[0154] This embodiment: implements real-time monitoring of system performance, including key indicators of response time and resource utilization, automated fault diagnosis and problem solving, and improves system stability and reliability.

[0155] refer to Figure 4 : After the case status of the litigation case is divided (excluding pending division & in the process of division), check the corresponding case operation to transfer to execution, the system will automatically match the element information of the corresponding case, and the documents of the litigation case will be brought to the execution case, including employee authorization letter, lawyer authorization letter, law firm letter, delivery address confirmation letter, defendant's identity certificate, execution basis (documents generated when the case is closed, including civil judgment, relevant rulings generated when abnormal cases are closed, and mediation documents)

[0156] In subsequent enforcement cases, cases converted from litigation will be marked, and the source will be labeled with the basis for execution (litigation). In this way, case handlers can clearly see the documents and detailed element information before the litigation case. After conversion to an enforcement case, it can also circulate normally in the enforcement system, and can be operated in the same way as ordinary enforcement cases. Match the case information to obtain the old elements from the original element table and compare them with the new execution, such as the name of the defendant / respondent, the defendant / respondent ID number, the type of defendant / respondent, the corporate legal person of the defendant / respondent, the mobile phone number of the defendant / respondent, the address of the respondent in the application for execution / civil judgment, the previous case number, the application matters, facts and reasons, the applicant, the cause of action and the case-related elements, and match them with the elements of the enforcement case. For public element matching, the newly added elements can be extracted from the documents. Match the case information to obtain the old elements from the original element table and compare them with the new execution, such as the name of the defendant / respondent, the defendant / respondent ID number, the defendant / respondent type, the defendant / respondent corporate legal person, the defendant / respondent mobile phone number, the respondent address in the application for execution / civil judgment, the previous case number, the application matters, the facts and reasons, the applicant, the cause of action and the case-related elements, and match them with the elements of the execution case. For public element matching, the newly added elements can be extracted from the documents.

[0157] Working principle: The system collects case data from multiple sources (including internal court systems and external databases), cleans, formats and standardizes the collected data to ensure data quality, and uses machine learning algorithms (including natural language processing and pattern recognition) to classify case data, automatically identify case types, and extract key information from case descriptions, such as party information, case nature, and litigation requests. It analyzes the extracted key elements, determines the type and format of documents required for the case, selects appropriate document templates from the predefined template library based on the case type and elements, automatically fills the case information into the selected document template, generates preliminary documents, conducts content review on the generated documents to ensure the legality and accuracy of the documents, adjusts the layout and format of the documents according to the standard format of legal documents, and outputs the documents that have finally passed the review into a usable format.

[0158] All relevant information of the case is stored in the database for easy query and management. The case status, such as case progress and processing results, is updated in real time. The system automatically monitors each link of the case execution process to ensure the compliance and efficiency of the process. When a process abnormality is detected, the system automatically notifies the relevant personnel and takes measures. Users access the system through a secure login mechanism, which provides an intuitive operating interface and allows users to perform case inquiries, document management, and process monitoring operations. The system collects user feedback to improve user experience and system functions. The system continuously monitors its own performance, including response time and resource usage, and regularly maintains and updates the system to adapt to legal changes and technological advances.

[0159] The workflow of the entire system is continuous, from data collection to document generation, to case management and process monitoring, each module works closely together to ensure the efficiency and accuracy of case processing. Through automation and intelligence, the system reduces manual intervention, improves processing speed and accuracy, and enhances user experience.

[0160] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A management system for converting cases from litigation types to execution cases, It is characterized in that include: Data processing module, used to receive and process case data, including basic case information, documents, and evidence; The intelligent recognition module automatically identifies case types, elements and document templates based on natural language processing (NLP) and machine learning algorithms; the automatic matching module automatically extracts key elements from case documents and matches them with the elements required to execute the case; the document generation module automatically selects the appropriate document template based on the matching results and fills in relevant information to achieve automated document generation; the user interface module provides an intuitive and easy-to-use user interface to simplify the operation process and improve the user experience; the data integration module realizes data integration with other systems within the court to ensure data consistency and real-time update; the security module uses encryption technology to protect sensitive data and prevent data leakage; The system monitoring module implements system monitoring to ensure stable system operation.

2. A management system for converting cases from litigation types to execution cases according to claim 1, It is characterized in that The intelligent identification module further includes: a model training module, which uses a machine learning algorithm to train case data and establish a prediction model; and a model optimization module, which adjusts and optimizes the model according to the test results.

3. A management system for converting cases from litigation types to execution cases according to claim 1, It is characterized in that The automatic matching module further includes: an OCR technology integration module, which integrates optical character recognition (OCR) technology to automatically recognize text in a document; an element extraction and matching algorithm, which extracts key elements from the recognized text and matches them with a preset element template.

4. A management system for converting cases from litigation types to execution cases according to claim 1, It is characterized in that The document generation module further includes: a template library for storing a variety of document templates; and a document review module for performing a preliminary review of the generated documents to ensure the accuracy and legality of the documents.

5. A management system for converting cases from litigation types to execution cases according to claim 1, It is characterized in that The data integration module further includes: a data synchronization mechanism to ensure seamless transmission of case information during the litigation and execution stages; and a data interface to enable data exchange with other court internal systems.

6. A management system for converting cases from litigation types to execution cases according to claim 1, It is characterized in that The security module further includes: an encryption algorithm for encrypting sensitive data; and access control for limiting access rights to sensitive data.

7. A management system for converting cases from litigation types to execution cases according to claim 1, It is characterized in that The system monitoring module further includes: a performance monitoring module for monitoring the system operation status and performance indicators; and a fault diagnosis module for diagnosing and repairing system faults.

8. A management system for converting cases from litigation types to execution cases according to claim 1, It is characterized in that The system includes the following specific processes: S1. Case submission: The user submits case information and the system receives case data; S2. Case identification and allocation: The system uses the intelligent identification module to automatically identify the case type and intelligently allocates the case according to the case type; S3. Document generation and processing: The system automatically matches case elements, selects appropriate document templates, and generates corresponding legal documents; S4. Case information management: The system manages case information, including case status tracking and document storage; S5. Execution process monitoring: The system monitors the case execution process to ensure that the case proceeds according to the predetermined process; S6. Enforcement case processing: The system processes enforcement cases, including case execution and document delivery; S7. Data analysis and reporting: The system analyzes case data and generates reports to support decision-making; S8. User Interface and Interaction: The system provides a user-friendly interface that allows users to interact with the system; S9. System monitoring and maintenance: The system monitors its own operating status and performs necessary maintenance and updates.

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