Mesh Wi-Fi Troubleshooting Framework for Unified Hardware-Software Testing
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Solution Overview
Problem
Conventional troubleshooting systems generate large amounts of data that strain storage resources and are cumbersome for troubleshooters to analyze, making it difficult to efficiently monitor application operations.
Innovation Solution
A method that records relevant screenshots of a User Interface (UI) during app usage, along with metadata, and stores them in a single image file with headers and highlighting features, allowing easy review of user actions and UI changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional troubleshooting systems record detailed operation data, then troubleshooting information completeness is improved, but storage resource consumption increases and data analysis complexity increases
Solution Approach 1:
The patent extracts only the most relevant troubleshooting information (error messages, stack traces, device state) from the complete operation data, separating essential diagnostic elements from redundant operational details. This extraction process maintains troubleshooting completeness while dramatically reducing data volume.
Solution Approach 2:
The patent segments operation data into distinct categories (error information, device state, user actions) and selectively records only the segments necessary for troubleshooting. This segmentation allows the system to maintain information completeness for diagnostic purposes while eliminating redundant data segments.
2Measurement precision
If conventional troubleshooting systems record comprehensive operation data, then diagnostic accuracy is improved, but troubleshooter workload increases
Solution Approach 1:
The patent introduces an automated data processing intermediary that pre-analyzes and structures raw operation data into organized troubleshooting reports. This intermediary layer handles the complexity of data analysis, maintaining diagnostic accuracy while significantly reducing the manual workload of troubleshooters.
Solution Approach 2:
The patent performs preliminary analysis and organization of operation data automatically during the recording phase, preparing diagnostic information in advance. This preliminary action ensures diagnostic accuracy is maintained while reducing the subsequent workload when troubleshooters need to analyze the data.
3Loss of information
If conventional systems store detailed feedback data, then troubleshooting detail level is improved, but storage resource strain increases
Solution Approach 1:
The patent applies local quality by recording detailed information only at critical points (error occurrences, state changes) rather than uniformly across all operations. This selective detail recording maintains troubleshooting detail level where needed while minimizing storage resource strain for routine operations.
Data Source
AI summary
Systems and methods are provided for testing both hardware components and software components associated with a local Wi-Fi network during a single test run. An automated test framework, which may be implemented in a cloud-based controller, can be configured, for example, to automatically test components of a cloud-based mesh Wi-Fi network and/or multi-layered hardware/software platform. According to one implementation, a method may include a step of obtaining log data associated with one or more hardware components and one or more software components of a Wi-Fi network. The method may also include the step of analyzing the log data during a single test run to verify whether each hardware component and each software component is operating adequately.