Network Diagnostic System for Remote Connectivity Troubleshooting
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Solution Overview
Problem
In modern networked systems, especially wireless networks, users face challenges in diagnosing and resolving issues due to the subtlety and intermittency of malfunctions, which are often beyond their expertise, and administrators are rarely present when issues occur, leading to prolonged and unsuccessful analysis.
Innovation Solution
A system and method that execute series of diagnostic tests on networked devices, allowing users to initiate or automatically run tests, analyze results, and transmit them to a server for centralized analysis, aggregation, and notification, providing a 'probable root cause' and 'most pertinent issue' for each test run, enabling remote troubleshooting and proactive issue addressing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users attempt to diagnose network issues themselves, then they can access device information, but they lack the expertise to analyze subtle and intermittent malfunctions effectively
Solution Approach 1:
The patent introduces an intermediary diagnostic system that acts as a mediator between the user and the complex network diagnostics. The system automatically executes diagnostic tests, analyzes results, and presents findings in user-friendly formats, bridging the gap between user capability and diagnostic complexity without requiring users to have expert knowledge
Solution Approach 2:
The diagnostic system enables users to perform self-diagnosis through automated test execution and analysis. The system autonomously gathers device information, runs diagnostic protocols, and generates reports, allowing users to obtain accurate diagnostics without external assistance while maintaining ease of operation
2Measurement precision
If administrators are present to analyze issues, then thorough analysis can be performed, but they are rarely present when issues occur, leading to prolonged analysis time
Solution Approach 1:
The system performs preliminary diagnostic actions automatically at the moment issues occur, without waiting for administrator presence. Diagnostic tests are executed immediately, data is collected and analyzed in real-time, and preliminary findings are generated before administrators need to intervene, eliminating the time delay caused by administrator unavailability
Solution Approach 2:
The system implements continuous feedback loops where diagnostic data is automatically collected, analyzed, and used to generate actionable insights. The feedback mechanism provides real-time status updates and diagnostic results, enabling the system to self-correct and alert administrators only when intervention is needed, reducing both time loss and maintaining analysis thoroughness
3Loss of information
If comprehensive diagnostic data is collected, then complete analysis can be performed, but the data volume becomes unmanageable and analysis becomes intractable
Solution Approach 1:
The system extracts only the essential and relevant diagnostic information from the comprehensive data set. Through intelligent filtering and prioritization, it isolates critical failure indicators, key performance metrics, and significant anomalies from the vast amount of collected data, presenting only the most pertinent findings to users and administrators without overwhelming them
Solution Approach 2:
The system dynamically changes data representation parameters based on diagnostic needs. It transforms raw comprehensive data into standardized formats, applies threshold-based filtering, and adjusts the level of detail presented based on issue severity and user role, making complex data manageable while preserving complete diagnostic information for when it is needed
Data Source
AI summary
System and method for diagnosing the state of a device connected to one or more computer networks. The method can include gathering and analyzing a status and configuration of every computer network interface available on a device, gathering and analyzing the network configuration information on a device, and, if available, gathering of GPS configurations, status, and data. The method can also include testing of network connectivity for the device using a preset server as a control and the testing of network connectivity for the device to arbitrary networked resources.