Network Failure Detection via Packet Analysis and Alarm
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Solution Overview
Problem
Current network management control systems lack real-time detection and reporting functions for network failures, relying on manual checks that are time-consuming and labor-intensive, which can lead to service collapse due to issues like network loops or misconfigured DHCP servers.
Innovation Solution
A network failure detection method and device that captures packets, analyzes their contents to determine network failures, and outputs an alarm signal, utilizing a packet capture module, a packet filter module, and an alarm module to automatically detect and notify failures in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual packet checking is used to detect network failures, then detection accuracy can be achieved, but time consumption and labor intensity increase significantly
Solution Approach 1:
The patent replaces manual mechanical packet checking with automated electronic packet capture and analysis systems. The packet capture module automatically intercepts network packets, and the analysis module processes them using predefined rules, eliminating the need for manual inspection while maintaining detection accuracy and significantly reducing time consumption.
Solution Approach 2:
The system implements self-service by automatically capturing, analyzing, and generating alarm signals for network failures without requiring human intervention. The packet filter module continuously monitors network traffic and autonomously identifies failures based on preset conditions, enabling the system to detect and report issues independently.
2Reliability
If manual packet checking is used to detect network failures, then detection can be performed, but labor intensity increases significantly
Solution Approach 1:
The patent replaces manual labor-intensive packet inspection with automated electronic systems. The packet capture module continuously intercepts network traffic, and the analysis module automatically processes packets using predefined detection rules, eliminating the need for manual checking while maintaining reliable detection capability and significantly reducing labor intensity.
Solution Approach 2:
The system performs self-service by automatically monitoring network packets and generating failure detections without human intervention. The packet filter module continuously analyzes traffic and autonomously identifies failures based on preset conditions, making the detection process independent of manual labor.
3Reliability
If real-time network failure detection is implemented, then service collapse risk is reduced, but system complexity increases
Solution Approach 1:
The patent divides the network failure detection system into distinct functional modules: a packet capture module for intercepting network traffic, a packet filter module for analyzing packets and detecting failures, and an alarm module for generating notifications. This segmentation allows each module to perform its specific function independently, managing system complexity while enabling real-time detection to prevent service collapse.
Solution Approach 2:
The patent introduces a packet filter module as an intermediary between packet capture and alarm generation. This intermediary module processes captured packets, applies detection rules, and determines failures before triggering alarms, thereby managing system complexity through structured intermediate processing while maintaining real-time detection capability for service stability.
Data Source
AI summary
A network failure detection method and a network failure detection device are provided. The network failure detection method includes capturing a plurality of packets, analyzing contents of the plurality of packets and determining whether a network failure occurs to generate a determination result according to the contents of the plurality of packets, and outputting an alarm signal to implement an alarm function according to the determination result.