Special equipment accident prevention optimization potential analysis method and system based on TRIZ function model

Abstract

The invention relates to the technical field of special equipment accident prevention, and discloses a special equipment accident prevention optimization potential analysis method and system based on a TRIZ functional model. Comprising a data collection module, a function analysis module, an optimization potential analysis module, a decision support module, a system operation module, a user interface module, a data storage module, a system maintenance module and a user management module. A data collection module, a function analysis module, an optimization potential analysis module, a decision support module, a system operation module, a user interface module, a data storage module, a system maintenance module and a user management module are integrated, so that potential accident risks of the special equipment can be effectively identified and prevented, and the safety of the special equipment can be improved; the risk of accident occurrence is reduced, a scientific basis can be provided for continuous improvement of equipment by optimizing potential analysis, and the efficiency and effect of accident prevention are improved, so that the safety management level of the whole industry is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of special equipment accident prevention, and in particular to a special equipment accident prevention optimization potential analysis method and system based on a TRIZ functional model. Background Art

[0002] Under the current technological background, the safe operation of special equipment plays a vital role in ensuring the safety of industrial production and the safety of people's lives and property. However, due to the complexity of special equipment and the variability of the operating environment, accidents are often difficult to completely avoid. Therefore, it is particularly important to develop an analysis method and system that can effectively prevent special equipment accidents and optimize their safety performance. TRIZ theory, or "theory of inventive problem solving", is a systematic innovation methodology that provides a set of tools and principles for solving technical contradictions and innovation problems. The core of TRIZ theory is to promote innovation by analyzing and solving contradictions in technical systems. In the field of special equipment accident prevention, the application of TRIZ theory can help identify and solve potential problems in equipment operation, thereby preventing accidents.

[0003] However, the traditional TRIZ application method cannot fully consider the specific operating environment and operating conditions of special equipment when dealing with special equipment accident prevention. At the same time, it lacks sufficient flexibility and accuracy in data collection and analysis, and cannot be optimized according to the characteristics of special equipment, thereby reducing the efficiency and effectiveness of accident prevention.

[0004] Therefore, we propose a special equipment accident prevention optimization potential analysis method and system based on TRIZ functional model. Summary of the invention

[0005] The present invention mainly solves the technical problems existing in the above-mentioned prior art and provides a special equipment accident prevention optimization potential analysis method and system based on TRIZ functional model.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a special equipment accident prevention optimization potential analysis system based on the TRIZ functional model, including a data collection module, a functional analysis module, an optimization potential analysis module, a decision support module, a system operation module, a user interface module, a data storage module, a system maintenance module and a user management module. The data collection module is responsible for collecting the operation data and accident information of the special equipment from various channels. The data collection module includes a sensor data interface, a manual input interface and a historical data interface. The sensor data interface is used to access the temperature, pressure and vibration sensor data on the special equipment in real time to obtain the real-time operation status of the equipment. The manual input interface allows the operator to input the operation parameters and accident information of the equipment. These information It may not be automatically acquired through sensors. The historical data interface is used to import and analyze the equipment's past operation and accident records for long-term trend analysis and historical comparison. The function analysis module is used to analyze the collected data to identify potential problems and risks in equipment operation. The function analysis module includes a function analysis tree diagram generator, a contradiction matrix analyzer, and a physical contradiction solver. The function analysis module uses the contradiction matrix and physical contradiction solution method in TRIZ theory to conduct an in-depth analysis of the collected data, identify the contradictions in equipment operation, analyze their root causes, and propose corresponding solutions. The function analysis module also uses a function analysis tree diagram to visualize the relationship between equipment functions to help users better understand the equipment's operating mechanism and potential problems.

[0007] Preferably, the optimization potential analysis module is used to further conduct in-depth analysis on the problems identified by the functional analysis module, aiming to discover and evaluate possible improvement measures and prevention strategies. The optimization potential analysis module includes a failure mode and effect analysis submodule and a fault tree analysis submodule. The failure mode and effect analysis submodule is responsible for identifying, analyzing and evaluating various failure modes that may occur in special equipment, determining the degree of influence of each failure mode on equipment operation and the possibility of occurrence, thereby providing a basis for equipment reliability design and maintenance. The fault tree analysis submodule constructs a fault tree model, conducts logical analysis on the causes of failure of special equipment, identifies the root cause of the failure, and forms an intuitive fault propagation path diagram through a combination of logic gates and event nodes, thereby helping decision makers understand the complex process of failure occurrence and take effective preventive measures.

[0008] Preferably, the decision support module provides users with decision suggestions based on the analysis results to help users choose the most appropriate preventive measures. The decision support module includes a comprehensive evaluation system. The comprehensive evaluation system comprehensively evaluates the data provided by the optimization potential analysis module by integrating hierarchical analysis method and fuzzy comprehensive evaluation method. The evaluation results can provide decision makers with a comprehensive view of the effects of different preventive measures, including cost-benefit analysis, risk assessment and potential benefit prediction.

[0009] Preferably, the system operation module is responsible for the operation and control of the entire system, ensuring that the various modules can work together. The system operation module includes a system startup submodule, a module coordination submodule, an exception handling submodule and a log recording submodule. The system startup submodule is responsible for initializing the system, ensuring that all modules can be loaded and run normally at startup. The module coordination submodule is responsible for managing the data flow and control flow between modules to ensure accurate data transmission and smooth processing flow. The exception handling submodule is used to monitor the system operation status, promptly detect and handle various abnormal situations to avoid system crashes or data loss. The log recording submodule is responsible for recording system operation logs and user operation logs to facilitate post-audit and problem tracking.

[0010] Preferably, the user interface module is used to provide an intuitive operating platform, allowing users to easily interact with the system to perform data query, analysis result viewing and decision making. The user interface module includes a user login interface, a main operation interface and a help information interface. The user login interface is used to verify the user's identity to ensure that only authorized users can access the system. The main operation interface is the main interface for users to perform daily operations and provides functions of data query, analysis result display and decision support. The help information interface provides users with system usage guides and operation help to ensure that users can quickly master how to use the system.

[0011] Preferably, the data storage module is used to safely store all collected and analyzed data to ensure the integrity and confidentiality of the data. The data storage module includes a database management system, a data backup and recovery submodule and a data encryption submodule. The database management system is responsible for storing and managing the operating data, accident information and analysis results of the special equipment to ensure efficient access and long-term preservation of the data. The data backup and recovery submodule regularly backs up key data in the system to prevent data loss or damage, and provides a data recovery function so that the system can be quickly restored to a normal state in the event of an accident. The data encryption submodule encrypts sensitive data to protect the data from unauthorized access and leakage.

[0012] Preferably, the system maintenance module is responsible for the daily maintenance and upgrade of the system to ensure stable operation and continuous improvement of the system. The system maintenance module includes a system inspection submodule, a performance optimization submodule and a version update submodule. The system inspection submodule is responsible for regularly performing health checks on the system, promptly discovering and repairing potential problems in the system to ensure the stability and reliability of the system. The performance optimization submodule improves the operating efficiency and analysis accuracy of the system by adjusting system parameters and algorithms. The version update submodule is responsible for introducing new functions and improvements to ensure that the system can adapt to ever-changing technical requirements and user needs.

[0013] Preferably, the user management module is used to manage user account information to ensure safe use of the system. The user management module includes a user registration submodule, a permission allocation submodule and an access control submodule. The user registration submodule allows new users to create accounts and obtain system access rights. The permission allocation submodule allocates corresponding system operation rights according to user roles and responsibilities. The access control submodule ensures that only users with corresponding rights can perform specific operations, thereby protecting the security of the system and the integrity of the data.

[0014] The special equipment accident prevention optimization potential analysis method based on TRIZ functional model includes the above-mentioned special equipment accident prevention optimization potential analysis system based on TRIZ functional model, and specifically includes the following steps:

[0015] Step 1: Data collection and analysis: The data collection module collects the operation data and accident information of special equipment, and then uses the function analysis module to conduct in-depth analysis of the collected data to identify potential problems and risks in equipment operation;

[0016] Step 2: Optimization potential analysis: Input the identified problems and risks into the optimization potential analysis module to further analyze possible improvement measures and prevention strategies. At this stage, the failure mode and effect analysis submodule and the fault tree analysis submodule will play a key role. By building a fault tree model and performing failure mode analysis, they help decision makers understand the complex process of failure occurrence and take effective preventive measures.

[0017] Step 3: Decision-making suggestions and comprehensive evaluation: Based on the data provided by the optimization potential analysis module, the decision support module will provide users with decision-making suggestions based on the analysis results. The comprehensive evaluation system will integrate the hierarchical analysis method and the fuzzy comprehensive evaluation method to conduct a comprehensive evaluation of the data, providing decision makers with a comprehensive view of the effects of different preventive measures, including cost-benefit analysis, risk assessment and potential benefit prediction;

[0018] Step 4: System operation control: The system operation module ensures the operation and control of the entire system. Each module works together. The system startup submodule, module coordination submodule, exception handling submodule and log recording submodule jointly ensure the stability of the system and the accuracy of the data.

[0019] Step 5: System Interaction: The user interface module provides an intuitive operating platform, allowing users to easily interact with the system to query data, view analysis results, and make decisions. The user login interface, main operation interface, and help information interface together form a user-friendly operating environment;

[0020] Step 6: Data security storage: The data storage module securely stores all collected and analyzed data to ensure data integrity and confidentiality. The database management system, data backup and recovery submodule, and data encryption submodule work together to ensure secure data storage;

[0021] Step 7: System maintenance and upgrade: The system maintenance module is responsible for the daily maintenance and upgrade of the system to ensure stable operation and continuous improvement of the system. The system inspection submodule, performance optimization submodule and version update submodule work together to improve the performance and adaptability of the system.

[0022] Step 8: User account management: The user management module manages user account information to ensure the safe use of the system. The user registration submodule, permission allocation submodule and access control submodule jointly ensure that only authorized users can access the system and perform corresponding operations.

[0023] The present invention provides a method and system for analyzing the potential of special equipment accident prevention optimization based on TRIZ functional model. It has the following beneficial effects:

[0024] 1. The special equipment accident prevention optimization potential analysis method and system based on the TRIZ functional model can effectively identify and prevent potential accident risks of special equipment by integrating data collection module, function analysis module, optimization potential analysis module, decision support module, system operation module, user interface module, data storage module, system maintenance module and user management module, as well as the special equipment accident prevention optimization potential analysis method. It can not only improve the safety of special equipment, reduce the risk of accidents, and ensure the safety of personnel and property, but also provide a scientific basis for the continuous improvement of equipment through optimization potential analysis, improve the efficiency and effect of accident prevention, and thus enhance the safety management level of the entire industry.

[0025] 2. This special equipment accident prevention optimization potential analysis method and system based on the TRIZ functional model integrates advanced data analysis technology and TRIZ theory to achieve in-depth mining and analysis of special equipment operation data, thereby more accurately predicting and identifying potential failure modes and risk points, providing strong technical support for the safe operation of special equipment.

[0026] 3. The special equipment accident prevention optimization potential analysis method and system based on the TRIZ functional model provides a user-friendly operation interface and decision support, enabling operators to more intuitively understand the equipment status and analysis results, thereby making more reasonable decisions and effectively avoiding accidents caused by improper operation or wrong decisions.

[0027] 4. The special equipment accident prevention optimization potential analysis method and system based on the TRIZ functional model has powerful data security storage and user account management functions through the setting of data storage module and user management module, ensuring the integrity and confidentiality of the data. At the same time, through strict user authority control, the security and reliability of the system are guaranteed.

[0028] 5. The special equipment accident prevention optimization potential analysis method and system based on the TRIZ functional model sets up a system maintenance and upgrade module, so that the system can adapt to the ever-changing technical requirements and user needs. Through regular system inspections, performance optimization and version updates, the system's advancement and adaptability are ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a system module diagram of the present invention;

[0030] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0031] Example 1: Special equipment accident prevention optimization potential analysis system based on TRIZ functional model, such as Figure 1As shown, it includes a data collection module, a function analysis module, an optimization potential analysis module, a decision support module, a system operation module, a user interface module, a data storage module, a system maintenance module and a user management module. The data collection module is responsible for collecting the operation data and accident information of special equipment from various channels. The data collection module includes a sensor data interface, a manual input interface and a historical data interface. The sensor data interface is used to access the temperature, pressure and vibration sensor data on the special equipment in real time to obtain the real-time operation status of the equipment. The manual input interface allows the operator to input the operation parameters and accident information of the equipment, which may not be automatically obtained through the sensor. The historical data interface is used to import and analyze the past operation and accident records of the equipment for long-term trend analysis and historical comparison. The function analysis module is used to analyze the collected data to identify potential problems and risks in the operation of the equipment. The function analysis module includes a function analysis tree diagram generator, a contradiction matrix analyzer and a physical contradiction resolver The function analysis module adopts the contradiction matrix and physical contradiction resolution method in TRIZ theory to conduct in-depth analysis of the collected data, identify the contradictions in the operation of the equipment, analyze the root causes, and propose corresponding solutions. The function analysis module also uses the function analysis tree diagram to visualize the relationship between equipment functions to help users better understand the operation mechanism and potential problems of the equipment. By integrating the data collection module, function analysis module, optimization potential analysis module, decision support module, system operation module, user interface module, data storage module, system maintenance module and user management module, as well as the special equipment accident prevention optimization potential analysis method, it can effectively identify and prevent potential accident risks of special equipment, which can not only improve the safety of special equipment, reduce the risk of accidents, and ensure the safety of personnel and property, but also provide a scientific basis for the continuous improvement of equipment through optimization potential analysis, improve the efficiency and effectiveness of accident prevention, and thus improve the safety management level of the entire industry.

[0032] Embodiment 2: Based on Embodiment 1, Figure 1As shown in the figure, the optimization potential analysis module is used to further analyze the problems identified by the functional analysis module, aiming to discover and evaluate possible improvement measures and prevention strategies. The optimization potential analysis module includes a failure mode and effect analysis submodule and a fault tree analysis submodule. The failure mode and effect analysis submodule is responsible for identifying, analyzing and evaluating various failure modes that may occur in special equipment, determining the degree of influence of each failure mode on the operation of the equipment and the possibility of occurrence, thereby providing a basis for the reliability design and maintenance of the equipment. The fault tree analysis submodule constructs a fault tree model to conduct a logical analysis of the failure causes of special equipment, identify the root cause of the failure, and form an intuitive fault propagation path diagram through a combination of logic gates and event nodes, so as to help decision makers understand the complex process of failure occurrence and take effective preventive measures. The decision support module provides users with decision suggestions based on the analysis results to help users choose the most appropriate preventive measures. The decision support module includes a comprehensive evaluation system, which integrates the hierarchical analysis method and the fuzzy comprehensive evaluation method to synthesize the data provided by the optimization potential analysis module. Evaluation, the evaluation results can provide decision makers with a comprehensive view of the effects of different preventive measures, including cost-benefit analysis, risk assessment and potential benefit prediction. The system operation module is responsible for the operation and control of the entire system, ensuring that the various modules can work together. The system operation module includes the system startup submodule, module coordination submodule, exception handling submodule and log recording submodule. The system startup submodule is responsible for initializing the system to ensure that all modules can be loaded and run normally at startup. The module coordination submodule is responsible for managing the data flow and control flow between modules to ensure accurate data transmission and smooth processing flow. The exception handling submodule is used to monitor the system operation status, promptly discover and handle various abnormal situations to avoid system crashes or data loss. The log recording submodule is responsible for recording system operation logs and user operation logs to facilitate post-audit and problem tracking. By integrating advanced data analysis technology and TRIZ theory, in-depth mining and analysis of special equipment operation data is achieved, so that potential failure modes and risk points can be more accurately predicted and identified, providing strong technical support for the safe operation of special equipment.

[0033] Embodiment 3: Based on Embodiment 1 and Embodiment 2, Figure 1As shown, the user interface module is used to provide an intuitive operating platform so that users can easily interact with the system to query data, view analysis results and make decisions. The user interface module includes a user login interface, a main operation interface and a help information interface. The user login interface is used to verify the user's identity to ensure that only authorized users can access the system. The main operation interface is the main interface for users to perform daily operations, providing functions such as data query, analysis result display and decision support. The help information interface provides users with system usage guides and operation help to ensure that users can quickly master the use of the system. The data storage module is used to safely save all collected and analyzed data to ensure the integrity and confidentiality of the data. The data storage module includes a database management system, Data backup and recovery submodule and data encryption submodule, the database management system is responsible for storing and managing the operation data, accident information and analysis results of special equipment to ensure efficient access and long-term preservation of data. The data backup and recovery submodule regularly backs up key data in the system to prevent data loss or damage, and provides data recovery function so that the system can be quickly restored to normal in the event of an accident. The data encryption submodule encrypts sensitive data to protect data from unauthorized access and leakage. By providing a user-friendly operation interface and decision support, operators can more intuitively understand the equipment status and analysis results, so as to make more reasonable decisions and effectively avoid accidents caused by improper operation or wrong decision-making.

[0034] Embodiment 4: Based on Embodiment 1, Embodiment 2 and Embodiment 3, Figure 1As shown in the figure, the system maintenance module is responsible for the daily maintenance and upgrade of the system to ensure the stable operation and continuous improvement of the system. The system maintenance module includes the system inspection submodule, the performance optimization submodule and the version update submodule. The system inspection submodule is responsible for regularly checking the health of the system, timely discovering and repairing potential problems in the system to ensure the stability and reliability of the system. The performance optimization submodule improves the operating efficiency and analysis accuracy of the system by adjusting system parameters and algorithms. The version update submodule is responsible for introducing new functions and improvements to ensure that the system can adapt to the ever-changing technical requirements and user needs. The user management module is used to manage user account information to ensure the safe use of the system. The user management module includes the user registration submodule, the authority allocation submodule and the access control submodule. The user registration submodule allows new users to create accounts and obtain system access rights. The authority allocation submodule allocates corresponding system operation rights according to user roles and responsibilities. The access control submodule ensures that only users with corresponding rights can perform specific operations, thereby protecting the security of the system and the integrity of data. By setting up the data storage module and the user management module, the entire system has powerful data security storage and user account management functions to ensure the integrity and confidentiality of the data. At the same time, through strict user authority control, the security and reliability of the system are guaranteed.

[0035] Example 5: A method for analyzing the potential of special equipment accident prevention optimization based on TRIZ functional model, such as Figure 2As shown, the above-mentioned special equipment accident prevention optimization potential analysis system based on TRIZ functional model specifically includes the following steps: Step 1: Data collection and analysis: Collect the operation data and accident information of special equipment through the data collection module, and then use the functional analysis module to conduct in-depth analysis on the collected data to identify potential problems and risks in equipment operation; Step 2: Optimization potential analysis: Input the identified problems and risks into the optimization potential analysis module, and further analyze possible improvement measures and prevention strategies. At this stage, the failure mode and effect analysis submodule and the fault tree analysis submodule will play a key role. By constructing a fault tree model and conducting fault Pattern analysis helps decision makers understand the complex process of failure occurrence and take effective preventive measures; Step 3: Decision suggestions and comprehensive evaluation: Based on the data provided by the optimization potential analysis module, the decision support module will provide users with decision suggestions based on the analysis results. The comprehensive evaluation system will integrate the hierarchical analysis method and the fuzzy comprehensive evaluation method to conduct a comprehensive evaluation of the data, providing decision makers with a comprehensive view of the effects of different preventive measures, including cost-benefit analysis, risk assessment and potential benefit prediction; Step 4: System operation control: The system operation module ensures the operation and control of the entire system. The various modules work together, including the system startup submodule, module coordination submodule, and exception handling submodule. The block and log recording submodules jointly ensure the stability of the system and the accuracy of the data; Step 5: System interaction: The user interface module provides an intuitive operating platform, and users can easily interact with the system to query data, view analysis results and make decisions. The user login interface, main operation interface and help information interface together constitute a user-friendly operating environment; Step 6: Data security storage: The data storage module safely saves all collected and analyzed data to ensure the integrity and confidentiality of the data. The database management system, data backup and recovery submodule and data encryption submodule work together to ensure the secure storage of data; Step 7: System maintenance and upgrade: The system maintenance module is responsible for The daily maintenance and upgrade of the system ensures the stable operation and continuous improvement of the system. The system inspection submodule, performance optimization submodule and version update submodule work together to improve the performance and adaptability of the system. Step 8: User account management: The user management module manages user account information to ensure the safe use of the system. The user registration submodule, permission allocation submodule and access control submodule jointly ensure that only authorized users can access the system and perform corresponding operations. By setting up the system maintenance and upgrade module, the system can adapt to the ever-changing technical requirements and user needs. Through regular system inspections, performance optimization and version updates, the advancement and adaptability of the system are ensured.

[0036] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. The special equipment accident prevention optimization potential analysis system based on TRIZ functional model is characterized by: It includes data collection module, function analysis module, optimization potential analysis module, decision support module, system operation module, user interface module, data storage module, system maintenance module and user management module. The data collection module includes sensor data interface, manual input interface and historical data interface. The function analysis module includes function analysis tree diagram generator, contradiction matrix analyzer and physical contradiction resolver.

2. The special equipment accident prevention optimization potential analysis system based on TRIZ functional model according to claim 1 is characterized by: The optimization potential analysis module includes a failure mode and effect analysis submodule and a fault tree analysis submodule.

3. The special equipment accident prevention optimization potential analysis system based on TRIZ functional model according to claim 1 is characterized by: The decision support module includes a comprehensive evaluation system.

4. The special equipment accident prevention optimization potential analysis system based on TRIZ functional model according to claim 1 is characterized by: The system operation module includes a system startup submodule, a module coordination submodule, an exception handling submodule and a log recording submodule.

5. The special equipment accident prevention optimization potential analysis system based on TRIZ functional model according to claim 1 is characterized by: The user interface module includes a user login interface, a main operation interface and a help information interface.

6. The special equipment accident prevention optimization potential analysis system based on TRIZ functional model according to claim 1 is characterized by: The data storage module includes a database management system, a data backup and recovery submodule and a data encryption submodule.

7. The special equipment accident prevention optimization potential analysis system based on TRIZ functional model according to claim 1 is characterized by: The system maintenance module includes a system checking submodule, a performance optimization submodule and a version updating submodule.

8. The special equipment accident prevention optimization potential analysis system based on TRIZ functional model according to claim 1 is characterized by: The user management module includes a user registration submodule, a permission allocation submodule and an access control submodule.

9. A special equipment accident prevention optimization potential analysis method based on TRIZ functional model, characterized in that: The special equipment accident prevention optimization potential analysis system based on the TRIZ functional model according to any one of claims 1 to 8 specifically comprises the following steps: Step 1: Data collection and analysis: The data collection module collects the operation data and accident information of special equipment, and then uses the function analysis module to conduct in-depth analysis of the collected data to identify potential problems and risks in equipment operation; Step 2: Optimization potential analysis: Input the identified problems and risks into the optimization potential analysis module to further analyze possible improvement measures and prevention strategies. At this stage, the failure mode and effect analysis submodule and the fault tree analysis submodule will play a key role. By building a fault tree model and performing failure mode analysis, they help decision makers understand the complex process of failure occurrence and take effective preventive measures. Step 3: Decision-making suggestions and comprehensive evaluation: Based on the data provided by the optimization potential analysis module, the decision support module will provide users with decision-making suggestions based on the analysis results. The comprehensive evaluation system will integrate the hierarchical analysis method and the fuzzy comprehensive evaluation method to conduct a comprehensive evaluation of the data, providing decision makers with a comprehensive view of the effects of different preventive measures, including cost-benefit analysis, risk assessment and potential benefit prediction; Step 4: System operation control: The system operation module ensures the operation and control of the entire system. Each module works together. The system startup submodule, module coordination submodule, exception handling submodule and log recording submodule jointly ensure the stability of the system and the accuracy of the data. Step 5: System Interaction: The user interface module provides an intuitive operating platform, allowing users to easily interact with the system to query data, view analysis results, and make decisions. The user login interface, main operation interface, and help information interface together form a user-friendly operating environment; Step 6: Data security storage: The data storage module securely stores all collected and analyzed data to ensure data integrity and confidentiality. The database management system, data backup and recovery submodule, and data encryption submodule work together to ensure secure data storage; Step 7: System maintenance and upgrade: The system maintenance module is responsible for the daily maintenance and upgrade of the system to ensure stable operation and continuous improvement of the system. The system inspection submodule, performance optimization submodule and version update submodule work together to improve the performance and adaptability of the system. Step 8: User account management: The user management module manages user account information to ensure the safe use of the system. The user registration submodule, permission allocation submodule and access control submodule jointly ensure that only authorized users can access the system and perform corresponding operations.

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