Aircraft Flight Data Reduction via Tolerance-Based Point Discarding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Aircraft systems face challenges in transmitting full flight data within limited time windows and bandwidth constraints, as existing data compression techniques do not adequately reduce data size for efficient transmission through wireless channels like cellular modems.
Innovation Solution
Implementing a data reduction method that discards data points within a specified tolerance of expected values, using slope calculations to ensure compression errors are within acceptable limits, thereby optimizing storage and transmission by retaining only meaningful data points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If full flight data is transmitted through wireless channels with limited bandwidth, then data completeness is improved, but transmission time exceeds available time windows
Solution Approach 1:
The patent extracts and transmits only the essential data points from the full flight data set. By identifying and removing redundant data points that fall within tolerance bands of previously transmitted values, the system transmits a reduced data set that maintains information integrity while fitting within limited transmission time windows and bandwidth constraints.
2Productivity
If data compression techniques are applied to reduce data size, then transmission efficiency is improved, but data accuracy deteriorates
Solution Approach 1:
The patent changes the parameter of data representation by introducing tolerance bands around reference values. Instead of transmitting every data point, the system transmits only those points that fall outside the tolerance band, thereby reducing data size while maintaining accuracy. The tolerance band parameter is carefully selected to preserve measurement precision while achieving compression.
3Reliability
If all flight data is retained for analysis, then analysis accuracy is improved, but storage requirements and processing time increase
Solution Approach 1:
The patent extracts only the meaningful data points that contribute to analysis accuracy. By removing redundant data points that fall within tolerance bands, the system reduces data volume while maintaining the integrity of the data set for subsequent analysis, thereby improving processing efficiency without sacrificing reliability.
Data Source
AI summary
Systems, methods, and stored coded instruction sets for reducing the amount of data captured, i.e., retained, by a computerized system, such as an aircraft flight control or monitoring system. Such systems can, for example, be used in monitoring and/or controlling the operation of one or more aircraft engines, flight controls, or other aircraft systems, in order to optimize storage required for collected data, and/or to reduce or otherwise control the time required to off-load captured data to another computer system, such as a land-based analysis system. The amount of data collected, e.g., captured or retained in memory, may be reduced by discarding data points that are within a specified tolerance of, for example, a previously observed or expected value in a manner which assists with preserving the accuracy and precision of the original measured data.


