Mobile Device Test Result Encoding via Machine-Readable Symbols
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Solution Overview
Problem
The increasing complexity and variety of mobile devices pose challenges for hardware manufacturers and service providers to efficiently monitor and test wireless communications, as existing methods struggle to quickly and effectively capture and analyze testing data across multiple devices and environments.
Innovation Solution
A method that generates a machine-readable symbol representation, using relative spacing between marks and spaces, to encode state information, test results, and parameter values, allowing for efficient data capture and analysis, which can be displayed on a mobile device and decoded for further processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive testing data is collected from multiple mobile devices, then diagnostic accuracy improves, but data transmission efficiency deteriorates
Solution Approach 1:
The patent extracts only the essential testing results and diagnostic information from comprehensive device data, encoding only the most relevant parameters into the machine-readable symbol. This selective extraction maintains diagnostic accuracy while significantly reducing the volume of data that needs to be transmitted and processed.
Solution Approach 2:
The patent applies different encoding priorities to different data elements, with critical diagnostic information receiving higher encoding priority and more representation capacity in the symbol. Less critical data is either omitted or given minimal representation, optimizing the balance between diagnostic completeness and transmission efficiency.
2Measurement precision
If detailed test parameters are encoded, then analysis precision improves, but symbol complexity increases
Solution Approach 1:
The patent segments the encoded information into hierarchical groups representing different test categories and parameter types. This segmentation allows the symbol to convey detailed information in an organized manner that reduces decoding complexity while maintaining analysis precision, as the structured layout enables faster interpretation of specific parameter groups.
Solution Approach 2:
The patent uses two-dimensional spatial encoding where the position, size, and arrangement of marks within the symbol convey additional meaning beyond simple presence/absence. This dimensional approach allows more information to be packed into the symbol without linearly increasing complexity, as the spatial relationships themselves encode parameter relationships and priorities.
Data Source
AI summary
A system and method to perform one or more tests related to the service quality and performance capabilities provided by a network, and to display and collect the test results. The tests may be initiated by a mobile device that may transmit testing requests to a network server. The mobile device may also store various information or data related to the testing request. The server collects various data in response to the test request that is used to generate a machine-readable symbol that may be visually rendered on a display of the mobile device. A test and measurement system may be used to capture and decode the machine-readable symbol. The test and measurement system may store the decoded information in one or more servers.