System for automatically adjusting terminal network configuration and repairing fault based on network state

Abstract

The invention discloses a system for automatically adjusting terminal network configuration and repairing a fault based on a network state, which is particularly suitable for a cloud desktop environment. According to the scheme, a network state monitoring module on a cloud server collects state information such as network bandwidth, delay and packet loss rate in real time, and after intelligent analysis, a network configuration adjusting module automatically updates terminal network configuration parameters (such as a DNS server address and a gateway address) based on remote protocols such as SSH and RDP. Meanwhile, the network fault repairing module presets a repairing strategy (such as IP redistribution and access point switching) for events such as IP conflicts and network interruption and automatically executes the repairing strategy, and personalized configuration is achieved in combination with the user feedback and interaction module. The method can respond to the network state change in real time, reduces manual intervention, improves the stability and availability of the cloud desktop network, reduces the operation and maintenance cost, and enhances the safety. Practice verifies that the system can improve the network fault processing time efficiency by more than 80% and reduce the operation and maintenance labor cost by 50%. A subject term cloud desktop; automatically adjusting network configuration; faults are automatically repaired; network state monitoring; and a remote management protocol.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud desktop network management, and specifically to a system and method for real-time monitoring of network status, automatic adjustment of terminal configuration, and repair of faults, which is suitable for network optimization and maintenance of enterprise-level cloud desktop environments. Background Art

[0002] With the popularity of cloud desktop technology, enterprises are increasingly relying on centralized cloud computing and storage. However, current cloud desktop systems face the following core issues:

[0003] 1. Sensitive to the network environment: The smooth operation of cloud desktops is highly dependent on network stability. Network failures (such as interruptions and high latency) and configuration conflicts (such as IP address conflicts) can directly lead to a decline in user experience and even business interruption.

[0004] 2. Inefficient manual operation and maintenance: Traditional network configuration and troubleshooting rely on manual operations, which cannot respond to network status changes in real time. In large-scale deployment scenarios, manual troubleshooting and adjustments are time-consuming and labor-intensive, resulting in high operation and maintenance costs and poor timeliness.

[0005] 3. Insufficient automation capabilities: Existing solutions lack intelligent analysis of network data and proactive intervention mechanisms, making it difficult to provide early warnings or rapid self-healing before failures occur, resulting in limited reliability of cloud desktop services. Summary of the Invention

[0006] Purpose of the Invention

[0007] The present invention aims to provide an automated cloud desktop network management solution that addresses the existing problems of strong network dependence, inefficient manual operation and maintenance, and insufficient automation capabilities through real-time monitoring, intelligent analysis, automatic configuration adjustment, and fault repair, thereby improving the stability, availability, and security of the cloud desktop network.

[0008] Technical Solution

[0009] System Architecture

[0010] The system of the present invention includes the following core modules:

[0011] 1. Network status monitoring module

[0012] Deployment location: Cloud server side, real-time collection of network status data through the cloud platform network interface.

[0013] Monitoring content: key indicators such as network bandwidth, latency, packet loss rate, IP address conflict, and DNS resolution status.

[0014] Data analysis: Preprocess the raw data (such as filtering noise and normalizing it), combine it with cloud desktop service features (such as video streaming and file synchronization), and use threshold judgment or machine learning models to identify potential problems (such as the risk of lag caused by insufficient bandwidth and potential IP conflicts).

[0015] 2. Network configuration adjustment module

[0016] Adjustment strategy: Based on the analysis results of the monitoring module, the network configuration adjustment plan is automatically generated, supporting dynamic adjustment of parameters such as DNS server address, gateway, subnet mask, and MTU value.

[0017] Remote execution: Send configuration instructions to the terminal through optimized remote management protocols (such as SSH, RDP) to achieve real-time updates of network parameters and ensure that the terminal adapts to different network environments (such as office networks and VPN networks).

[0018] 3. Network fault repair module

[0019] Fault identification: Real-time monitoring of fault events such as network interruptions, IP conflicts, and DNS resolution failures, and quick location of fault types through event logs and status codes.

[0020] Repair strategy: preset multi-dimensional repair rules, for example:

[0021] IP conflict: automatically release conflicting IP addresses and reallocate available addresses;

[0022] Network interruption: Intelligently switch to an alternative network access point (such as switching from wired to wireless); DNS failure: Restart the DNS service or switch to an alternative DNS server.

[0023] Log records: Record fault type, repair time, execution steps and other information for subsequent operation and maintenance analysis and strategy optimization.

[0024] 4. User feedback and interaction module

[0025] Interactive interface: Provides users with a visual panel that displays real-time network status, configuration information, and fault history.

[0026] Command reception: Supports users to actively feedback network problems (such as slow connection), and the system triggers targeted optimization (such as prioritizing bandwidth resources) based on the feedback.

[0027] Method Flow

[0028] 1. Real-time monitoring: The network status monitoring module periodically collects network data and generates status reports (e.g., once per second).

[0029] 2. Intelligent analysis: Compares with preset thresholds or historical baselines to determine whether configuration adjustments are needed or to trigger fault repairs (for example, triggering configuration adjustments when bandwidth falls below a threshold).

[0030] 3. Automatic execution: Based on the analysis results, the network configuration adjustment module or fault repair module performs corresponding operations and records the execution results.

[0031] 4. Closed-loop verification: After the operation is executed, the monitoring module verifies whether the network status has returned to normal. If it does not meet the requirements, it re-enters the analysis process (such as triggering a secondary repair or alarm when the repair fails).

[0032] Beneficial effects

[0033] 1. Improve network stability: Through real-time monitoring and automatic adjustment, network configuration conflicts are reduced by more than 90%, the occurrence rate of network failures is reduced by 80%, and the continuity of cloud desktop services is guaranteed.

[0034] 2. Optimize user experience: Automatically handle network issues without manual user intervention, reducing screen freezes and connection interruptions by 75%, and achieving an operational fluency close to that of a local desktop.

[0035] 3. Reduced operation and maintenance costs: In large-scale deployment scenarios, manual operation and maintenance workload is reduced by more than 60%, the average annual maintenance cost per terminal is reduced by 50%, and the mean time to repair (MTTR) for failures is shortened from 30 minutes to within 5 minutes.

[0036] 4. Enhanced network security: By real-time monitoring of potential security threats (such as abnormal IP access) combined with automatic isolation or traffic cleaning strategies, network attack response speed is increased by 90% and the risk of data leakage is significantly reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 :System architecture diagram

[0038] The network status monitoring module is deployed on the cloud server and connected to the cloud platform network interface. The network configuration adjustment module connects to the terminal device through the remote management protocol.

[0039] The network fault repair module shares fault data with the monitoring module.

[0040] User feedback and interaction module, providing a web or client interface.

[0041] Cloud desktop terminal, receives configuration instructions and feedback status information.

[0042] Figure 2 :Schematic diagram of the method flow

[0043] 1. Data collection: The monitoring module obtains network status data.

[0044] 2. Analysis and judgment: Identify abnormal conditions or faults.

[0045] 3. Policy triggering: Calling configuration adjustment or fault repair modules based on rules.

[0046] 4. Result verification: Confirm that the network status has returned to normal. DETAILED DESCRIPTION

[0047] Example 1: Typical application scenario

[0048] Scenario: Enterprise cloud desktop users suddenly report screen freezes and increased network latency. Execute the following steps:

[0049] 1. Monitoring module: Detects that the bandwidth utilization of the network partition where the target terminal is located reaches 95%, and the latency increases from 20ms to 80ms.

[0050] 2. Analysis module: Determines that performance degradation is caused by insufficient bandwidth and triggers configuration adjustment policies.

[0051] 3. Configuration adjustment module: Send instructions to the terminal through the SSH protocol to switch the DNS server to the local cache node to reduce the time consumed by domain name resolution; at the same time, adjust the QoS policy to assign higher priority to cloud desktop traffic.

[0052] 4. Verification results: Within 5 minutes, the latency dropped to 25ms, the lag disappeared, and the user experience returned to normal.

[0053] Example 2: Fault repair scenario

[0054] Scenario: The cloud desktop terminal cannot connect to the cloud due to an IP address conflict.

[0055] Execution steps:

[0056] 1. Fault repair module: Received the "IP conflict" error log reported by the terminal and located the conflicting IP address as 192.168.1.100.

[0057] 2. Automatic repair: Release the terminal's current IP, re-obtain an available address (such as 192.168.1.105) from the DHCP server, and update the routing table.

[0058] 3. Log records: record the failure time, conflicting IP address, repaired IP address and operation time (total time 28 seconds).

[0059] 4. User notification: The interactive module pushes a "network restored" prompt to the user, along with an explanation of the cause of the failure.

[0060] Example 3: Large-Scale Deployment Optimization

[0061] Scenario: An enterprise deploys 1,000 cloud desktop terminals and needs to optimize DNS configuration to improve access speed.

[0062] Execution steps:

[0063] 1. Monitoring module: Analyzes the DNS resolution delay across the entire network and finds that the average time taken is 500ms, exceeding the threshold (200ms).

[0064] 2. Batch configuration: The network configuration adjustment module sends instructions to all terminals through the RDP protocol to uniformly modify the DNS server to the company's internal cache server (IP: 10.0.0.1).

[0065] 3. Verification results: The full update was completed within 2 hours, the parsing delay was reduced to 80ms, and the network access efficiency was improved by 84%.

Claims

1. A system for automatically adjusting terminal network configuration and troubleshooting based on network status, characterized in that: include: The network status monitoring module is deployed on the cloud server and collects cloud desktop network status data (including bandwidth, latency, packet loss rate, IP address conflicts, etc.) in real time through the cloud platform network interface. It also pre-processes and intelligently analyzes the data to identify network status change trends and potential problems. The network configuration adjustment module automatically adjusts the network configuration parameters of the cloud desktop terminal (including DNS server address, gateway address, subnet mask, etc.) based on the analysis results of the monitoring module, and sends configuration instructions to the terminal through remote management protocols (such as optimized SSH and RDP protocols) to achieve remote automatic updates; The network fault repair module monitors network faults or conflict events (including IP address conflicts, network interruptions, DNS resolution failures, etc.) in real time, presets multiple types of repair strategies (including reallocating IP addresses, restarting network services, switching network access points, etc.), automatically executes repairs, and records logs; The user feedback and interaction module provides a user interface for viewing network status, configuration information, and fault records, receives user feedback and instructions, and supports personalized configuration and fault handling.

2. The system according to claim 1, wherein: The network status monitoring module uses machine learning algorithms to analyze historical network data, establish a network status prediction model for cloud desktop business scenarios, and provide early warning of potential network risks (such as lag caused by insufficient bandwidth). risk).

3. The system according to claim 1, wherein: The network configuration adjustment module supports multiple network environment adaptation strategies and can automatically match the optimal configuration parameter combination according to the terminal's geographical location and network type (such as wired / wireless).

4. The system according to claim 1, wherein: The network fault repair module includes a multi-level repair mechanism:

1. Prioritize lightweight repairs (such as flushing the DNS cache); 2. If the repair fails, automatically trigger an intermediate repair (such as restarting the virtual network adapter); 3. If the failure persists, perform advanced repairs (such as switching to an alternate network link).

5. The system according to claim 1, wherein: The user feedback and interaction module integrates AI customer service functions, which can automatically generate troubleshooting work orders based on user feedback and link them to corresponding network configuration adjustments or fault repair processes.

6. A method for automatically adjusting terminal network configuration and troubleshooting based on network status, applied to the system according to any one of claims 1 to 5, characterized in that: The following steps are involved:

1. Real-time monitoring: Collect and analyze cloud desktop network status data through the network status monitoring module; 2. Intelligent decision-making: Determine whether network configuration needs to be adjusted or fault repair needs to be triggered based on analysis results; 3. Automatic execution: Execute configuration updates or fault repair operations through the network configuration adjustment module or network fault repair module; 4. Interactive feedback: Synchronize processing results with the interactive module through user feedback and receive user personalized instructions.

7. The method according to claim 6, characterized in that The "intelligent decision-making" step includes: Set network status thresholds (such as bandwidth below 50Mbps, packet loss rate above 5%), and trigger configuration adjustments when monitoring data exceeds the threshold; Based on the fault type database (such as IP conflict, DNS resolution failure), the preset repair strategy is matched and execution instructions are automatically generated.

8. The method according to claim 6, characterized in that In the "automatic execution" step, the network configuration adjustment instruction is transmitted to the terminal through an encrypted channel to ensure the security and reliability of the configuration update process.

9. The method according to claim 6, characterized in that It also includes log management steps: full-process log storage of network status data, configuration adjustment records, and fault repair processes, and supports retrieval and analysis by dimensions such as time, terminal ID, and fault type.

10. The method according to claim 6, characterized in that The system is suitable for large-scale cloud desktop deployment scenarios and supports simultaneous management of network configuration and troubleshooting for no less than 1,000 terminals.

Images