Route-Based Meteorological Forecast Display System
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Solution Overview
Problem
Pilots face a high mental workload in comprehensively understanding weather forecasts for flight plans, as they must manually integrate and update weather data, which becomes outdated due to changes in flight plans or delays, requiring repetitive efforts to recreate a mental model of weather conditions.
Innovation Solution
A system that subdivides the flight path into meteorological forecast regions corresponding to time periods, obtaining and displaying relevant forecast data for each region on a navigational map, allowing pilots to view forecasted conditions intuitively without manual interaction, using estimated arrival times to align data sets and generate graphical representations of forecasted meteorological conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If pilots manually select and integrate meteorological forecasting products to understand weather along the flight plan, then comprehensive weather understanding is achieved, but mental workload increases significantly and the process becomes time-consuming
Solution Approach 1:
The system automatically segments the flight plan into multiple forecast regions based on navigational reference points (waypoints, airports, etc.). Each region is associated with specific meteorological forecast data, allowing pilots to view comprehensive weather information without manually integrating multiple products. The segmentation is performed by the processor which divides the flight path into discrete regions and retrieves relevant forecast data for each region automatically.
Solution Approach 2:
The system performs self-service by automatically integrating routing data with meteorological forecast data without requiring pilot intervention. The processor autonomously retrieves forecast information for each forecast region, updates the display when flight plans change, and maintains comprehensive weather understanding without pilot effort. This eliminates the manual work of selecting and integrating multiple forecasting products.
2Loss of information
If pilots manually review and integrate forecast information to create a mental model of weather conditions, then comprehensive weather assessment is achieved, but time is lost especially when flight plans change or delays occur
Solution Approach 1:
The system performs preliminary action by pre-calculating and displaying forecast information for all forecast regions along the flight plan before the pilot needs it. When a flight plan is entered or modified, the processor immediately retrieves and displays relevant forecast data for each region, eliminating the need for pilots to sequentially review multiple products. The system proactively updates when flight plans change, ensuring current information is always available.
Solution Approach 2:
The system automatically updates forecast information when flight plans change or delays occur, without requiring pilots to re-review weather data. The processor monitors for changes and autonomously retrieves updated forecast information, maintaining accurate comprehensive weather understanding without pilot time investment.
3Device complexity
If forecast information is displayed without automatic integration, then system complexity is reduced, but the usefulness and relevance of weather information to the specific flight plan decreases
Solution Approach 1:
The system segments the flight plan into forecast regions based on navigational reference points, automatically associating relevant meteorological data with each segment. This segmentation approach maintains system simplicity while ensuring high relevance, as each region is tailored to specific geographic locations along the flight path with appropriate forecast data.
Solution Approach 2:
The system applies local quality by providing customized forecast information for each forecast region along the flight plan, rather than displaying uniform weather data. Each region receives meteorological forecast data specific to its geographic location and relevance to the flight, ensuring high information relevance without requiring complex manual configuration by pilots.
Data Source
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AI summary
Methods and systems are provided for presenting forecast information pertaining to a planned route of travel, such as a flight plan. One exemplary method involves obtaining a plurality of forecast data sets associated with a plurality of different forecast time periods and subdividing a route into a plurality of forecast regions encompassing respective portions of the route based on the times associated with the navigational reference points defining the route. Each forecast region of the plurality of forecast regions is associated with a respective forecast time period. For each forecast region, a graphical representation of a subset of the forecast data set associated with that forecast region's associated forecast time period that corresponds to the geographic area of that forecast region is displayed on a display device concurrently to displaying a graphical representation of the route.