Aircraft Turbulence Notification With Aircraft-Independent Normalization
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Solution Overview
Problem
Existing systems for reporting turbulence are subjective, unreliable, and aircraft-dependent, failing to provide accurate, aircraft-independent information about turbulence locations, altitudes, and smooth air conditions, leading to inaccurate turbulence predictions.
Innovation Solution
A system and method for automatically generating and displaying a profile map that depicts airflow conditions, including both turbulent and smooth air, allowing operators to select flight paths that minimize turbulence, using aircraft-independent data from other aircraft.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pilots use subjective PIREP reports to communicate turbulence locations, then other aircraft can take precautionary measures, but the reports are unreliable, qualitative, and aircraft-dependent leading to inaccurate turbulence predictions
Solution Approach 1:
The patent replaces the mechanical system of subjective pilot reporting with an automated electronic sensing system using accelerometers and other sensors to objectively measure turbulence parameters. This substitution eliminates human subjectivity and provides quantifiable, standardized turbulence data that can be reliably processed and shared across the aviation network.
Solution Approach 2:
The patent introduces an intermediary automated turbulence detection system that acts as a mediator between the actual turbulence conditions and the aircraft operators. This intermediary system processes raw sensor data, applies normalization algorithms, and delivers standardized turbulence information, thereby improving both reliability and measurement precision through objective measurement and systematic processing.
2Adaptability or versatility
If pilots report turbulence based on their aircraft's characteristics, then they can describe their experience, but the reports are misleading for other aircraft with different physical characteristics and speeds
Solution Approach 1:
The patent applies parameter changes by normalizing turbulence measurements to account for differences in aircraft physical characteristics (weight, size, wing area) and motive characteristics (speed). The system transforms raw accelerometer data into standardized turbulence categories that represent actual atmospheric conditions rather than aircraft-specific experiences, making the information reliably applicable across different aircraft types.
Solution Approach 2:
The patent creates a universal turbulence reporting system that produces aircraft-agnostic turbulence information applicable to all aircraft regardless of their specific characteristics. The normalized turbulence categories serve multiple functions: they accurately represent atmospheric conditions, can be applied to any aircraft type, and enable consistent decision-making across the aviation community.
3Reliability
If airlines require passengers to stay seated with seat belts fastened during entire flight, then safety is maintained, but passenger comfort is reduced due to inability to move for temporary breaks
Solution Approach 1:
The patent applies preliminary action by providing turbulence information to operators before the aircraft encounters turbulent conditions. This advance notice allows operators to prepare appropriate safety briefings and inform passengers of upcoming turbulence, enabling passengers to understand when seat belt restrictions are necessary versus when they can move freely, thereby maintaining safety while improving comfort during smooth flight segments.
Solution Approach 2:
The patent implements feedback by continuously monitoring turbulence conditions and providing real-time information to operators and passengers. This feedback loop enables dynamic adjustment of safety instructions based on actual atmospheric conditions, allowing passengers to be informed when it is safe to move about the cabin versus when they should remain seated, thus balancing safety requirements with passenger comfort needs.
Data Source
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AI summary
A turbulence notification system and method are described that include obtaining airflow reports generated by multiple reporting aircraft while in flight. The system and method generate normalized turbulence values based on reported turbulence levels in the airflow reports and at least one of sizes of the reporting aircraft or weights of the reporting aircraft. The system and method determine effective turbulence levels specific to a first aircraft based on the normalized turbulence values and an identifying characteristic of the first aircraft, where the effective turbulence levels predict an effect of atmospheric airflow on the first aircraft. The system and method generate a map that plots a scheduled route of the first aircraft and graphic indicia representing the effective turbulence levels that are determined. The graphic indicia are plotted at locations along vertical and horizontal axes of the map corresponding to the geographic locations of the airflow reports.