Router unified configuration and debugging method and device, electronic equipment and readable storage medium

Abstract

The invention belongs to the technical field of network equipment management, and particularly relates to a router unified configuration and debugging method and device, electronic equipment and a storage medium. Comprising the following steps: constructing a protocol analysis model to analyze and process data packets of different protocols and standards; establishing a database with complete equipment models, constructing a command library, and analyzing and classifying different types of commands; user input is analyzed by using a natural language processing technology, user input habits and common commands are recorded through a machine learning algorithm, and personalized command recommendation is provided; a standardized operation process is designed, and the links of configuration, debugging, monitoring and fault processing of the router are covered; implementing identity verification, access control and data encryption measures, and monitoring and reporting security risks in the network in real time; according to the invention, multi-protocol support, standardized operation flow, automatic configuration and monitoring, intelligent fault processing and safe data management can be realized, and the efficiency and accuracy of network management are improved, so that the manual intervention cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of network device management, and in particular relates to a method, device, electronic device and readable storage medium for unified configuration and debugging of routers. Background Art

[0002] Routers play a vital role in computer networks. They connect multiple networks, enabling interconnection between local area networks (LANs) and wide area networks (WANs). Routers forward data packets based on network addresses (such as IP addresses). They search routing tables to select the optimal transmission path for each packet, ensuring that data reaches its destination accurately and efficiently. When network topology changes or failures occur, routers automatically adjust routing and reselect appropriate paths to ensure continuous data transmission. Routers often include NAT functionality, which translates private IP addresses within a LAN into valid public IP addresses, allowing multiple internal network devices to access the internet through a single public IP address. This not only addresses the shortage of public IP addresses but also enhances network security by concealing the internal network topology. Routers support security features such as access control lists (ACLs). By configuring rules, you can restrict packets from specific IP addresses, ports, or protocols from entering and leaving the network, preventing unauthorized access and protecting network security. In addition, some routers include firewall functionality, which can detect and prevent common network attacks such as hacker intrusions and virus transmission. However, during on-site router commissioning, the device must be connected to the live network for configuration. Due to varying levels of proficiency among commissioning personnel, some may be unfamiliar with the commissioning configuration process or incorrectly enter commissioning command codes due to unfamiliarity, potentially posing security risks to the operation of the power data network. Network environments often include routers and devices from different manufacturers, each utilizing different communication protocols and standards, such as SNMP, CLI, and REST API. Traditional router configuration and commissioning methods are often vendor-specific or protocol-specific, lacking standardization and compatibility. This requires network administrators to master multiple tools and methods, increasing workload complexity and the potential for error. Furthermore, as network scale continues to expand, manual configuration and commissioning become inefficient and unsuitable for large-scale network management. Furthermore, network security issues are becoming increasingly prominent, and ensuring the security of configuration and monitoring data is a pressing issue. Therefore, developing a unified router configuration and commissioning method is of great practical significance. Summary of the Invention

[0003] The purpose of the present invention is to overcome the shortcomings of the existing technology and study a unified router debugging tool that can manage and configure routers of multiple brands and models, thereby simplifying the complexity of device management. By providing clear unified router configuration and debugging methods and steps, devices, electronic devices and readable storage media, it can achieve multi-protocol support, standardized operating processes, automated configuration and monitoring, intelligent fault handling and secure data management, improve the efficiency and accuracy of network management, and reduce the cost of manual intervention.

[0004] The object of the present invention is achieved in this way: a unified configuration and debugging method for a router comprises the following steps: Build a protocol parsing model to uniformly process and parse data packets of different protocols and standards; By establishing a device model database, the hardware parameters, software version information and corresponding protocol support of routers of different manufacturers and models are stored; a command library is built to analyze and classify different types of commands; Use natural language processing technology to analyze user input and identify user intent and commands. When users enter commands, it provides real-time optional command completion suggestions based on the current context. It uses machine learning algorithms to record user input habits and frequently used commands and provide personalized command recommendations. Design standardized operating processes and unified debugging steps, covering router configuration, debugging, monitoring, and troubleshooting. Utilize machine learning and data analysis technologies to automate configuration, debugging, monitoring, and troubleshooting. Implement authentication, access control, and data encryption measures, and monitor and report security risks in the network in real time.

[0005] Furthermore, in the step of constructing a protocol parsing model to parse and process data packets of different protocols and standards, multiple network protocols are supported, including SNMP, CLI, and REST API. For the SNMP protocol, the SNMP protocol stack is used to parse SNMP messages to obtain device status information and configuration parameters; for the CLI protocol, interaction with the device is carried out by simulating terminal login, executing CLI commands and obtaining return results; for the REST API protocol, the HTTP client library is used to send REST requests and process response data in JSON or XML format.

[0006] Furthermore, in the construction of the command library and the analysis and classification of different types of commands, the command library uses structured data storage to facilitate quick query and update; in the steps of designing standardized operating procedures, the configuration process includes device discovery and identification, selection of configuration templates, parameter configuration and verification, saving configuration and restarting the device; the monitoring process includes regular collection of device status information and visual display; the fault handling process includes real-time monitoring of device operating status, fault diagnosis and handling according to preset rules.

[0007] Furthermore, the automated configuration, monitoring, and troubleshooting using machine learning and data analysis techniques include: Automatically generate appropriate configuration parameters based on device type, network environment, and user needs, and automatically perform configuration verification during the configuration process; Collect various performance indicators and status information of the equipment in real time, process and analyze the collected data through data analysis algorithms, predict interface traffic using time series analysis algorithms, and visualize the monitoring data; Use machine learning algorithms to analyze the device's operating data, automatically detect abnormal situations and perform preliminary processing. When it detects that the device's CPU usage is too high, it automatically analyzes the possible causes and takes corresponding measures. At the same time, it promptly notifies network administrators of the fault information.

[0008] Furthermore, in the steps of implementing identity authentication, access control and data encryption measures, and real-time monitoring and reporting of security risks in the network, identity authentication adopts a multi-factor authentication method, including username / password, digital certificate, and SMS verification code; access control establishes fine-grained access control policies to limit user access to different devices and functions based on user roles and permissions; data encryption adopts secure encryption algorithms such as AES and RSA during data transmission and storage.

[0009] Furthermore, the unified configuration and debugging method for routers also includes designing a graphical user interface, rationally partitioning different functional modules, using intuitive icons and labels, and using charts, graphs and other visual methods to display device status information and monitoring data, and providing detailed operation guidance and prompt information when users perform operations.

[0010] Furthermore, in the step of designing a graphical user interface, the functional module partitions include a device list area, a configuration operation area, and a monitoring information display area; the visual display methods include bar charts, line charts, and pie charts; and users can conduct in-depth analysis of the data through interactive operations.

[0011] Router unified configuration and debugging device, including: Multi-network protocol support module, used to build a protocol parsing model to parse and process data packets of different protocols and standards; The database and command library establishment module is used to establish a device model database to store the hardware parameters, software version information and corresponding protocol support of routers of different manufacturers and models; build a command library to analyze and classify different types of commands, and provide detailed examples and available parameter descriptions for each command; The user input processing module uses natural language processing technology to analyze user input and identify user intent and commands. When the user enters a command, it provides optional command completion suggestions in real time based on the current context. It also uses machine learning algorithms to record user input habits and frequently used commands and provide personalized command recommendations. The workflow design module is used to design standardized workflows covering router configuration, monitoring, and troubleshooting, using machine learning and data analysis technologies to automate configuration, monitoring, and troubleshooting. The network security monitoring module is used to implement authentication, access control and data encryption measures, and monitor and report security risks in the network in real time.

[0012] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the unified router configuration and debugging method are implemented.

[0013] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the router unified configuration and debugging method.

[0014] Beneficial effects of the present invention: The unified router configuration and debugging method of the present invention includes the following steps: constructing a protocol parsing model to parse and process data packets of different protocols and standards; establishing a device model database to store hardware parameters, software version information, and corresponding protocol support status of routers of different manufacturers and models; constructing a command library to analyze and classify different types of commands; using natural language processing technology to analyze user input and identify user intentions and commands; providing optional command completion suggestions in real time based on the current context when the user enters a command; recording user input habits and commonly used commands through a machine learning algorithm to provide personalized command recommendations; designing a standardized operating process covering the configuration, monitoring, and troubleshooting of routers, and utilizing machine learning and data analysis technology for automated configuration, monitoring, and troubleshooting; implementing identity authentication, access control, and data encryption measures to monitor and report security risks in the network in real time; being able to support multiple network protocols and routers of different manufacturers and models, thus solving the problem of poor compatibility in traditional methods and reducing the complexity of network management. Through intelligent prompt recognition, one-click configuration, and batch processing functions, the efficiency of user router configuration and debugging is greatly improved, and the time and error probability of manual operation are reduced. Utilizing machine learning and data analysis technologies to achieve automated configuration, monitoring, and troubleshooting, this system can automatically detect anomalies and perform preliminary processing, enhancing the intelligent level of network management. Implementing robust authentication, access control, and data encryption measures, and real-time monitoring and reporting of security risks, ensures the security of configuration and monitoring data and prevents potential network attacks and intrusions. The unified router configuration and debugging method of the present invention enables multi-protocol support, standardized workflows, automated configuration and monitoring, intelligent troubleshooting, and secure data management, improving the efficiency and accuracy of network management and reducing the cost of manual intervention. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 The figure is a flow chart of the unified configuration and debugging method of routers of the present invention.

[0017] Figure 2 Schematic diagram of the framework of the unified configuration and debugging device for routers. DETAILED DESCRIPTION

[0018] The present invention will be further described below with reference to the accompanying drawings.

[0019] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0021] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship and movement status between the various components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly. The connection can be a direct connection or an indirect connection.

[0022] like Figure 1-2 As shown, the router unified configuration and debugging method of the present invention includes the following steps: Build a protocol parsing model to parse and process data packets of different protocols and standards; Establish a device model database to store the hardware parameters, software version information, and corresponding protocol support of routers from different manufacturers and models. Use the device discovery function to obtain target router information and match the corresponding configuration templates and protocol processing logic. Build a command library to analyze and classify different types of commands, and provide detailed examples and available parameter descriptions for each command. Uses natural language processing technology to analyze user input, identify user intent and commands, support fuzzy queries, and provide relevant command suggestions. As users enter commands, it provides real-time optional command completion suggestions based on the current context. Through machine learning algorithms, it records user input habits and frequently used commands, optimizes the command prompt function, and provides personalized command recommendations. This ensures that the intelligent recognition function works effectively on routers of different brands and models, adapting to different command line interfaces. Design standardized operating processes covering router configuration, monitoring, and troubleshooting, enabling one-click configuration and batch processing, and utilizing machine learning and data analysis technologies for automated configuration, monitoring, and troubleshooting. Implement strong authentication, access control, and data encryption measures, and monitor and report security risks across your network in real time.

[0023] Furthermore, in the step of constructing a protocol parsing model to parse and process data packets of different protocols and standards, multiple network protocols are supported, including SNMP, CLI, and REST API. For the SNMP protocol, the SNMP protocol stack is used to parse SNMP messages to obtain device status information and configuration parameters; for the CLI protocol, interaction with the device is carried out by simulating terminal login, executing CLI commands and obtaining return results; for the REST API protocol, the HTTP client library is used to send REST requests and process response data in JSON or XML format.

[0024] To ensure compatibility with various router hardware and software versions, a device model database was established to store hardware parameters, software version information, and corresponding protocol support for routers from different manufacturers and models. Before configuration and debugging, the device discovery function was used to obtain relevant information about the target router and match the corresponding configuration template and protocol processing logic from the device model database.

[0025] Furthermore, in the construction of the command library and the analysis and classification of different types of commands, the command library uses structured data storage to facilitate quick query and update; in the steps of designing standardized operating procedures, the configuration process includes device discovery and identification, selection of configuration templates, parameter configuration and verification, saving configuration and restarting the device (if necessary); the monitoring process includes regular collection of device status information and visual display; the fault handling process includes real-time monitoring of device operating status, fault diagnosis and handling according to preset rules.

[0026] A comprehensive command library is built, analyzing and categorizing different types of commands, such as basic commands, configuration commands, and monitoring commands. Detailed examples and available parameter descriptions are provided for each command to help users understand its usage. The command library uses structured data storage for fast query and update.

[0027] Natural language processing technology is used to analyze user input and identify user intent and commands. Fuzzy query functionality is supported, providing relevant command suggestions based on semantic similarity, even if the user's input is not completely correct. For example, when a user enters "view routing table," even if the expression is inaccurate, the system can still recognize the user's intention to obtain routing table information and provide the corresponding command to view the routing table.

[0028] As users enter commands, the system provides real-time suggestions for possible command completions. These suggestions are based on the current context (e.g., the command already entered, the current mode, etc.). For example, if a user enters "configureterminal" to enter configuration mode, subsequent command suggestions will primarily focus on configuration-related commands.

[0029] Machine learning algorithms record user input habits and frequently used commands. Based on historical user data, the command prompt function is continuously optimized to provide personalized command recommendations. For example, if a user frequently uses a specific configuration command, the system will prioritize recommending that command when the user enters related keywords.

[0030] Ensure that intelligent identification functions work effectively on routers of different brands and models, adapting to different command line interfaces. By abstracting the command line interaction logic of different devices, device-specific commands and operations are encapsulated into a unified interface, eliminating the need for upper-level functional modules to be aware of specific device differences.

[0031] Furthermore, the automated configuration, monitoring, and troubleshooting using machine learning and data analysis techniques include: Automatically generate appropriate configuration parameters based on device type, network environment, and user needs, and automatically perform configuration verification during the configuration process; Collect various performance indicators and status information of the equipment in real time, process and analyze the collected data through data analysis algorithms, predict interface traffic using time series analysis algorithms, and visualize the monitoring data; Use machine learning algorithms to analyze the device's operating data, automatically detect abnormal situations and perform preliminary processing. When it detects that the device's CPU usage is too high, it automatically analyzes the possible causes and takes corresponding measures. At the same time, it promptly notifies network administrators of the fault information.

[0032] Furthermore, in the steps of implementing identity authentication, access control and data encryption measures, and real-time monitoring and reporting of security risks in the network, identity authentication adopts a multi-factor authentication method, including username / password, digital certificate, and SMS verification code; access control establishes fine-grained access control policies to limit user access to different devices and functions based on user roles and permissions; data encryption adopts secure encryption algorithms such as AES and RSA during data transmission and storage.

[0033] Through standardized workflows, the system covers router configuration, monitoring, and troubleshooting. For example, during the configuration process, device discovery and identification are performed first. Then, the appropriate configuration template is selected based on user requirements, parameter configuration and verification are performed, and finally, the configuration is saved and the device is restarted (if necessary). During the monitoring process, device status information, such as CPU utilization, memory utilization, and interface traffic, is regularly collected and visualized. During the troubleshooting process, the device's operating status is monitored in real time. When an anomaly is detected, fault diagnosis and troubleshooting are performed according to pre-set rules. Users simply select a pre-set configuration template or enter the necessary parameters, and the system automatically completes the router configuration. Furthermore, batch processing is supported, allowing the same configuration or monitoring operations to be performed on multiple routers simultaneously, greatly improving work efficiency.

[0034] Leveraging machine learning and data analysis techniques, it automatically generates appropriate configuration parameters based on device type, network environment, and user needs. For example, it automatically calculates a router's routing table and interface parameters based on the network topology and bandwidth requirements. During the configuration process, it automatically performs configuration verification to ensure correctness and effectiveness.

[0035] The system collects various device performance indicators and status information in real time and processes and analyzes the collected data using data analysis algorithms. For example, it uses time series analysis algorithms to predict interface traffic and identify potential network congestion issues in advance. Furthermore, it visualizes the monitoring data, allowing users to intuitively understand the device's operating status.

[0036] Machine learning algorithms are used to analyze device operating data, automatically detecting anomalies and providing preliminary action. For example, if a device's CPU usage is detected to be excessive, the system automatically analyzes possible causes, such as abnormal traffic flow or processes consuming excessive resources. Based on pre-set rules, appropriate measures are taken, such as limiting traffic flow or terminating abnormal processes. Network administrators are also promptly notified of the fault information for further investigation and action.

[0037] Implement a strong authentication mechanism and use multi-factor authentication methods, such as username / password, digital certificates, and SMS verification codes, to ensure that only authorized users can access and operate router configuration and debugging tools.

[0038] Establish fine-grained access control policies to limit access to different devices and functions based on user roles and permissions. For example, regular users can only monitor devices, while administrators can configure and debug devices.

[0039] Configuration and monitoring data are encrypted, using secure encryption algorithms such as AES and RSA during transmission and storage to prevent data leakage and tampering. Network security risks, such as network attacks and intrusions, are monitored in real time. Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) technologies are used to analyze and detect network traffic, promptly identifying potential security threats and generating detailed security reports to notify network administrators.

[0040] Furthermore, the unified configuration and debugging method for routers also includes designing a concise and clear graphical user interface, rationally partitioning different functional modules, using intuitive icons and labels, and using charts, graphs and other visual methods to display device status information and monitoring data, and providing detailed operation guidance and prompt information when users perform operations.

[0041] Furthermore, in the step of designing a graphical user interface, the functional module partitions include a device list area, a configuration operation area, and a monitoring information display area; the visual display methods include bar charts, line charts, and pie charts; and users can conduct in-depth analysis of the data through interactive operations.

[0042] The user interface features a concise and clear graphical user interface, with different functional modules logically divided into sections, such as the device list area, configuration operation area, and monitoring information display area. Intuitive icons and labels facilitate quick access to required functions. Device status information and monitoring data are displayed visually using charts and graphs, such as bar charts, line charts, and pie charts. Users can perform in-depth data analysis through interactive operations, such as zooming in and out and filtering.

[0043] When users are operating, detailed operation guidance and prompt information are provided to help users correctly complete configuration and debugging tasks. For example, when filling in configuration parameters, the meaning and value range of each parameter are explained.

[0044] Router unified configuration and debugging device, including: Multi-network protocol support module, used to build a protocol parsing model to parse and process data packets of different protocols and standards; The database and command library establishment module is used to establish a device model database, store the hardware parameters, software version information and corresponding protocol support of routers of different manufacturers and models, obtain target router information through device discovery function and match the corresponding configuration template and protocol processing logic; build a command library, analyze and classify different types of commands, and provide detailed examples and available parameter descriptions for each command; The user input processing module uses natural language processing technology to analyze user input, identify user intent and commands, support fuzzy queries, and provide relevant command suggestions. As the user enters a command, it provides real-time optional command completion suggestions based on the current context. It uses machine learning algorithms to record user input habits and frequently used commands, optimize the command prompt function, and provide personalized command recommendations. This ensures that the intelligent recognition function works effectively on routers of different brands and models, and is compatible with different command line interfaces. The workflow design module is used to design standardized workflows covering router configuration, monitoring, and troubleshooting. It implements one-click configuration and batch processing, and uses machine learning and data analysis technologies to automate configuration, monitoring, and troubleshooting. The network security monitoring module is used to implement strong authentication, access control and data encryption measures, and monitor and report security risks in the network in real time.

[0045] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the unified router configuration and debugging method are implemented.

[0046] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the router unified configuration and debugging method.

[0047] In summary, the unified router configuration and debugging method of the present invention includes the following steps: constructing a protocol parsing model to parse and process data packets of different protocols and standards; establishing a device model database to store hardware parameters, software version information, and corresponding protocol support for routers of different manufacturers and models; constructing a command library to analyze and classify different types of commands; using natural language processing technology to analyze user input and identify user intent and commands; providing optional command completion suggestions in real time based on the current context when the user enters a command; using a machine learning algorithm to record user input habits and commonly used commands to provide personalized command recommendations; designing a standardized operating process covering router configuration, monitoring, and troubleshooting, and utilizing machine learning and data analysis technology for automated configuration, monitoring, and troubleshooting; implementing identity authentication, access control, and data encryption measures to monitor and report security risks in the network in real time; and supporting multiple network protocols and routers of different manufacturers and models, thereby resolving the compatibility issues of traditional methods and reducing the complexity of network management. Through intelligent prompt recognition, one-click configuration, and batch processing functions, the efficiency of router configuration and debugging is greatly improved, reducing the time and error probability of manual operation. Utilizing machine learning and data analysis technologies to achieve automated configuration, monitoring, and troubleshooting, this system can automatically detect anomalies and perform preliminary processing, enhancing the intelligent level of network management. Implementing robust authentication, access control, and data encryption measures, and real-time monitoring and reporting of security risks, ensures the security of configuration and monitoring data and prevents potential network attacks and intrusions. The unified router configuration and debugging method of the present invention enables multi-protocol support, standardized workflows, automated configuration and monitoring, intelligent troubleshooting, and secure data management, improving the efficiency and accuracy of network management and reducing the cost of manual intervention.

[0048] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0049] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention, and such changes and modifications fall within the scope of the invention as claimed.

Claims

1. A unified router configuration and debugging method, characterized in that: The following steps are involved: Build a protocol parsing model to uniformly process and parse data packets of different protocols and standards; By establishing a device model database, the hardware parameters, software version information and corresponding protocol support of routers of different manufacturers and models are stored; a command library is built to analyze and classify different types of commands; Use natural language processing technology to analyze user input and identify user intent and commands; when the user enters a command, provide optional command completion suggestions in real time based on the current context; Use machine learning algorithms to record user input habits and common commands and provide personalized command recommendations; Design standardized operating processes and unified debugging steps, covering router configuration, debugging, monitoring, and troubleshooting. Utilize machine learning and data analysis technologies to automate configuration, debugging, monitoring, and troubleshooting. Implement authentication, access control, and data encryption measures, and monitor and report security risks in the network in real time.

2. The unified configuration and debugging method for routers according to claim 1, wherein: In the process of constructing a protocol parsing model to uniformly process and parse data packets of different protocols and standards, multiple network protocols are supported, including SNMP, CLI, and REST API. For the SNMP protocol, the SNMP protocol stack is used to parse SNMP messages to obtain device status information and configuration parameters; for the CLI protocol, the device is interacted with by simulating terminal login, executing CLI commands and obtaining return results. For the REST API protocol, use the HTTP client library to send REST requests and process the response data in JSON or XML format.

3. The unified configuration and debugging method for routers according to claim 1, wherein: In the construction of the command library and the analysis and classification of different types of commands, the command library uses structured data storage to facilitate quick query and update; in the steps of designing the standardized operation process, the configuration process includes device discovery and identification, selection of configuration templates, parameter configuration and verification, saving configuration and restarting the device; the monitoring process includes regular collection of device status information and visual display; the fault handling process includes real-time monitoring of the device operating status, fault diagnosis and handling according to preset rules.

4. The method for unified configuration and debugging of routers according to claim 1, wherein: The automated configuration, monitoring, and troubleshooting using machine learning and data analysis techniques include: Automatically generate appropriate configuration parameters based on device type, network environment, and user needs, and automatically perform configuration verification during the configuration process; Collect various performance indicators and status information of the equipment in real time, process and analyze the collected data through data analysis algorithms, predict interface traffic using time series analysis algorithms, and visualize the monitoring data; Use machine learning algorithms to analyze the device's operating data, automatically detect abnormal situations and perform preliminary processing. When it detects that the device's CPU usage is too high, it automatically analyzes the possible causes and takes corresponding measures, while also providing timely feedback on fault information.

5. The method for unified configuration and debugging of routers according to claim 1, wherein: In the steps of implementing authentication, access control and data encryption measures, and real-time monitoring and reporting of security risks in the network, authentication adopts multi-factor authentication, including username / password, digital certificate, and SMS verification code; access control establishes fine-grained access control policies to limit user access to different devices and functions based on their roles and permissions; data encryption adopts secure encryption algorithms during data transmission and storage.

6. The method for unified configuration and debugging of routers according to claim 1, wherein: It also includes designing a graphical user interface, rationally partitioning different functional modules, using intuitive icons and labels, using charts, graphs and other visual methods to display equipment status information and monitoring data, and providing detailed operation guidance and prompt information when users perform operations.

7. The method for unified configuration and debugging of routers according to claim 6, wherein: In the step of designing a graphical user interface, the functional module partitions include a device list area, a configuration operation area, and a monitoring information display area; the visual display methods include bar charts, line charts, and pie charts; and users can conduct in-depth analysis of data through interactive operations.

8. Router unified configuration and debugging device, characterized in that: include: Multi-network protocol support module, used to build a protocol parsing model to parse and process data packets of different protocols and standards; The database and command library establishment module is used to establish a device model database to store the hardware parameters, software version information and corresponding protocol support of routers of different manufacturers and models; build a command library to analyze and classify different types of commands; The user input processing module is used to analyze user input using natural language processing technology to identify user intent and commands; when the user enters a command, it provides optional command completion suggestions in real time based on the current context; Use machine learning algorithms to record user input habits and common commands and provide personalized command recommendations; The workflow design module is used to design standardized workflows covering router configuration, monitoring, and troubleshooting, using machine learning and data analysis technologies to automate configuration, monitoring, and troubleshooting. The network security monitoring module is used to implement authentication, access control and data encryption measures, and monitor and report security risks in the network in real time.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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