Dynamic Flight Data Filtering for Bandwidth Optimization
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Solution Overview
Problem
The sheer volume of flight tracking data from multiple sources, such as ADS-B systems, poses challenges in efficient collection, processing, and transmission due to bandwidth and processing limitations, making it cost-prohibitive to manage continuously.
Innovation Solution
A flight tracking information service that uses dynamic filtering at remote data collection sites to adaptively report flight data based on aircraft-specific criteria like altitude, airspeed, and turn rate, reducing data transmission frequency while maintaining accuracy, and utilizing a central database for efficient data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous data collection from multiple remote sites is implemented, then data completeness and coverage are improved, but bandwidth consumption and processing costs increase significantly
Solution Approach 1:
The patent extracts and transmits only the most relevant flight data points that meet specific criteria (e.g., unusual flight patterns, deviations from planned routes, safety concerns) rather than transmitting all collected data. This selective extraction approach maintains data completeness for critical events while dramatically reducing overall bandwidth consumption.
Solution Approach 2:
Different remote collection sites apply customized filtering criteria based on their local conditions, flight traffic patterns, and regional priorities. Each site independently determines which data points warrant transmission, allowing local optimization of bandwidth usage while maintaining overall system reliability.
2Measurement precision
If all collected flight tracking data is transmitted to central servers, then data accuracy and detail are improved, but processing power requirements and transmission costs become prohibitive
Solution Approach 1:
Data filtering and preliminary processing are performed at the remote collection sites before data transmission to central servers. The system pre-identifies and flags only those data points that require further analysis, reducing the processing burden on central servers while maintaining accuracy for critical events.
Solution Approach 2:
The patent introduces intermediate processing layers at remote sites that act as mediators between data collection and central processing. These intermediaries perform initial filtering, aggregation, and validation, reducing the volume and complexity of data reaching central servers while preserving accuracy for significant events.
3Loss of energy
If simple sampling methods are used to reduce data volume, then bandwidth consumption is reduced, but data completeness and detection capability deteriorate
Solution Approach 1:
The system dynamically adjusts sampling rates and filtering criteria based on real-time conditions, flight activity levels, and detected patterns. During periods of normal operation, sampling is reduced to conserve bandwidth, while automatically increasing resolution when unusual events are detected, thus maintaining data completeness when needed while reducing overall bandwidth consumption.
Solution Approach 2:
The patent changes key parameters such as sampling frequency, data retention periods, and transmission thresholds based on flight conditions, time of day, and system load. This adaptive parameter adjustment allows the system to optimize between bandwidth consumption and data completeness for different operational contexts.
Data Source
AI summary
A computer-implemented system and method for the collection, filtering, and transmission of aviation information is disclosed. A plurality of flight information is received over a digital network at various remote locations, and the data is filtered prior to transmission to a central database for presentation and use. The database includes aviation information. The method of filtration is dynamically updated as to information concerning a specific flight based on one characteristic of the flight. As to aircraft being tracked, a determination is made as to which receiver should relay collected data, and that determination is periodically revised, such as to minimize transmission costs and maximize signal quality as aircraft positions change. Once the information is located in the central database, it is suitable for use in responding to user requests for flight tracking information is association with at least one identified flight.