Telemetry Interactive Permutation Matrix for Multiplexed Data Qualification
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Solution Overview
Problem
Qualification of test data for multiplexed systems is costly and time-consuming, requiring extensive planning, testing, and analysis, especially when data formats and geometries change, with uncertainties about input geometry and numerous permutations leading to inefficiencies in validating telemetry systems.
Innovation Solution
A predictive tool, the Telemetry Interactive Permutation Matrix (TIPM), classifies permutations based on data rates and overhead using an Asynchronous Telemetry Bandwidth Simulator (ATBS), narrowing down suitable designs by correlating data exchange messages with input geometry from avionics data containers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extensive testing and analysis procedures are performed to qualify test data for multiplexed systems, then validation reliability is improved, but time consumption and cost increase significantly
Solution Approach 1:
The system performs preliminary classification of permutations into categories (e.g., high priority, medium priority, low priority) based on predefined criteria before actual testing. This allows the testing process to focus resources on high-priority permutations first, reducing overall time while maintaining validation reliability through structured sequential testing.
Solution Approach 2:
The validation process is segmented into multiple phases: permutation classification, priority assignment, selective testing, and analysis. By dividing the complex validation task into manageable segments, the system can efficiently progress through each phase and reduce total time consumption while maintaining comprehensive validation coverage.
2Adaptability or versatility
If multiple permutations of data formats and geometries are tested to handle uncertainties, then system adaptability is improved, but testing complexity and effort increase
Solution Approach 1:
The system changes key parameters such as data format, geometry type, and transmission rate to generate different permutations. By systematically varying these parameters and classifying the resulting permutations, the system can efficiently explore the solution space and maintain adaptability without proportionally increasing testing complexity.
Solution Approach 2:
The classification system serves multiple functions: it categorizes permutations, assigns priorities, guides testing sequences, and optimizes resource allocation. This multi-functional approach reduces testing complexity by consolidating multiple management tasks into a single unified system.
3Reliability
If comprehensive test procedures are implemented for multiplexed telemetry systems, then validation thoroughness is improved, but planning and execution effort increase
Solution Approach 1:
The system incorporates feedback mechanisms where test results and performance metrics are used to adjust the testing sequence and prioritize future permutations. This feedback loop enables the system to achieve thorough validation while reducing effort by focusing on areas that provide the most value based on observed performance patterns.
Solution Approach 2:
The testing plan is made dynamic rather than static, allowing it to adapt based on initial test results, system performance characteristics, and identified priorities. This dynamic approach maintains validation thoroughness while reducing planning and execution effort by automatically adjusting the test strategy.
Data Source
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AI summary
A method, computer program product, and computer system for identifying, by a computing device, a plurality of information associated with a telemetry system. A permutation matrix may be constructed for use with the telemetry system. One or more parameters for use in the permutation matrix may be extracted based upon, at least in part, the plurality of information associated with the telemetry system. A plurality of iterations may be performed with the permutation matrix based upon, at least in part, the one or more parameters extracted for use in the permutation matrix. A final telemetry geometry may be provided for the telemetry system.