Clear Air Turbulence Detection/Forecasting TRIZ Cases
- Aircraft Turbulence Detection Using Air-Ground Motion Difference
By comparing aircraft motion relative to earth and air, this case detects turbulent flight states early to help reduce structural loads.
- UAV Turbulence Detection Using Air-Ground Motion Difference
By comparing aircraft motion relative to earth and air, this case detects turbulent flight states and enables load-reducing control responses.
- Lidar-AI Turbulence Prediction for Aircraft Flight Control
Lidar backscatter and trained AI predict aircraft acceleration ahead of clear air turbulence, enabling flight control adjustments that reduce stress.
- Aircraft Turbulence Display Using Connected Flight-Path Data
Connected turbulence datapoints and flight-path lines fill gaps between sparse measurements, helping pilots judge calm and turbulent corridors.
- Aircraft Turbulence Visualization Between Sparse Flight Data Points
Connecting sparse turbulence measurements with visual lines or corridors helps pilots assess airflow conditions between flight data points.
- Airplane Gust Alleviation Using Single-Axis Doppler LIDAR
Single-axis Doppler LIDAR detects remote wind speed so spoilers and pitch control can reduce airplane turbulence fluctuations.
- Aircraft Wake Turbulence Alerting for Faster Pilot Response
Projected wake detection and onboard alerts replace delayed ATC warnings, helping pilots avoid hazardous turbulence sooner.
- Aircraft Wake Turbulence Alerts Using Projected Flight Paths
Projected ownship and target aircraft paths are analyzed to warn pilots of wake turbulence early and support automatic avoidance.
- Airspace Turbulence Information for Multi-Aircraft Flight Control
Estimated wake and surrounding turbulence is shared with nearby aircraft to improve control reliability and safety in crowded airspace.