Flight Management System Turbulence Penetration Speed Optimization
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Solution Overview
Problem
Inefficient sequencing of aircraft arrivals due to lack of reliable time of arrival control functions, leading to potential congestion, necessitates the optimization of aircraft operations using weather data to identify predicted turbulent conditions and adjust speed profiles.
Innovation Solution
A method and system that upload current weather data to a flight management system (FMS) to identify turbulence areas, plan optimal turbulence penetration speeds, recalculate estimated time of arrival (ETA), and automatically transmit the recalculated ETA to air traffic control (ATC) for accurate air traffic management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If aircraft arrive at scheduled times without weather-based adjustments, then air traffic control operations are simple, but aircraft congestion occurs and arrival sequencing becomes inefficient
Solution Approach 1:
The system performs preliminary identification of turbulence areas along the flight trajectory before the aircraft reaches them. By uploading current weather data and identifying turbulence areas in advance, the FMS can plan optimal penetration speeds and recalculate ETAs proactively, enabling efficient arrival sequencing without last-minute disruptions
Solution Approach 2:
The system implements feedback by automatically transmitting recalculated ETAs to ATC authorities. This feedback loop allows ATC to receive updated arrival time information based on actual weather conditions and turbulence areas, enabling dynamic adjustment of air traffic flow and improving overall sequencing efficiency
2Reliability
If aircraft maintain scheduled speeds without turbulence considerations, then flight operations are straightforward, but aircraft may encounter turbulent conditions causing safety issues and delays
Solution Approach 1:
The FMS performs self-service by automatically identifying turbulence areas, planning optimal penetration speeds, and recalculating ETAs without requiring manual pilot intervention. The system uploads weather data, processes turbulence information, and generates speed profiles autonomously, making safety management easier while maintaining high reliability
Solution Approach 2:
The system dynamically changes speed parameters based on turbulence conditions. By planning optimal turbulence penetration speeds for each identified turbulence area and recalculating ETAs based on these speed adjustments, the system adapts the flight profile to maintain safety while managing operational complexity
3Productivity
If ETAs are not recalculated based on turbulence conditions, then air traffic control has stable data, but air traffic flow optimization is limited and congestion may occur
Solution Approach 1:
The system continuously updates ETA information by automatically transmitting recalculated ETAs to ATC authorities. This feedback mechanism ensures ATC receives accurate, up-to-date arrival time information that reflects actual turbulence conditions, preventing information loss while optimizing air traffic flow efficiency
Solution Approach 2:
The system performs preliminary recalculation of ETAs based on identified turbulence areas and planned penetration speeds before the aircraft reaches those areas. This proactive approach provides ATC with accurate updated ETAs in advance, enabling better traffic flow management without losing ETA accuracy
Data Source
AI summary
Methods and systems are provided for optimizing aircraft operations using uplink weather data to identify predicted turbulent conditions. The method comprises uploading current weather data to a flight management system (FMS) of an aircraft. Areas of turbulence are identified according to the uploaded weather data including areas of turbulence along the client flight trajectory stored in the FMS of the aircraft. An optimal turbulence penetration speed is planned for each identified area of turbulence. The estimated time of arrival (ETA) and minimum and maximum estimate time of arrival (ETA min/max) for the aircraft is recalculated based on the optimal turbulence penetration speeds. The recalculated ETA and ETA min/max is automatically transmitted to an air traffic control (ATC) authority with the FMS of the aircraft.