High-Speed Rejected Takeoff Detection via Speed Decay Analysis
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Solution Overview
Problem
High-speed rejected takeoffs in aircraft operations pose significant risks due to the high energy involved, making it challenging for existing systems to effectively detect and manage these situations, particularly in high-workload environments, where pilots need to focus on safety and navigation.
Innovation Solution
A method and system utilizing external data, such as Automatic Dependent Surveillance-Broadcast (ADS-B) signals and geospatial data, to automatically detect high-speed rejected takeoffs by monitoring aircraft acceleration and deceleration, and notifying relevant stakeholders, thereby reducing pilot workload and enhancing situational awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pilots manually monitor and detect rejected takeoff situations, then they can respond to emergencies, but their workload increases significantly during high-stress situations
Solution Approach 1:
The system enables automated detection of rejected takeoff events using aircraft performance data and geospatial information, allowing the system to monitor and identify RTO events without requiring pilot intervention. The processor automatically determines when an RTO has occurred by analyzing speed decay patterns and geographic location, freeing pilots from manual monitoring tasks during high-workload situations
Solution Approach 2:
The patent replaces manual pilot monitoring with an automated electronic system that uses processors, sensors, and geospatial data to detect rejected takeoff events. The system substitutes human cognitive monitoring with algorithmic analysis of aircraft performance parameters, reducing pilot workload while maintaining or improving detection reliability
2Measurement precision
If the system uses multiple data sources and complex analysis to detect high-speed RTO, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The system uses a multi-functional approach by integrating multiple data sources (ADS-B signals, geospatial databases, aircraft performance sensors) into a single detection platform. The same processor that analyzes geographic location also evaluates speed decay patterns and determines RTO classification, eliminating the need for separate specialized systems while achieving high detection accuracy through data fusion
Solution Approach 2:
The system achieves accurate RTO detection by monitoring changes in key parameters such as ground speed decay rate, geographic position, and altitude. By focusing on critical parameter transitions (e.g., speed decay below threshold values within specific timeframes) rather than continuous complex analysis, the system maintains high detection accuracy with relatively simple processing logic
3Loss of time
If the system provides real-time RTO detection and notification, then response time improves, but information processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-loading geospatial runway data and establishing detection thresholds before flight operations begin. During actual flight, the processor only needs to compare real-time aircraft position and speed against pre-established criteria, enabling rapid RTO detection with minimal real-time data processing requirements
Solution Approach 2:
The detection system is segmented into distinct functional modules: one module handles geospatial position analysis, another processes speed decay data, and a third determines RTO classification and triggers notifications. This segmentation allows parallel processing of different data streams, reducing overall processing time and enabling real-time detection without overwhelming computational demands
Data Source
AI summary
A method includes detecting, by a processing circuit, a high-speed rejected takeoff has occurred by determining an aircraft has accelerated to at least a first preset indicated airspeed value and then by determining the aircraft has decelerated below at least a second preset indicated airspeed value and the aircraft is on the ground. The method also includes detecting, by the processing circuit, an event other than the high-speed rejected takeoff has occurred by determining the aircraft has not accelerated to at least the first preset indicated airspeed value, or by determining the aircraft has accelerated to at least the first preset indicated airspeed value and the aircraft has not decelerated below at least the second preset indicated airspeed value, or by determining the aircraft is airborne.