Adaptive Weather Interrogation for Flight Trajectories

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Solution Overview

Problem

Current weather data systems for aircraft lack accuracy and relevance due to outdated and granular data, failing to isolate weather applicable to specific flight trajectories and not effectively evaluating multiple sources against user or airspace needs, leading to inaccurate flight management.

Innovation Solution

A system processes forecasted and in-situ weather data from multiple sources, determining the 'best' data by evaluating quality, accuracy, and confidence attributes, and dynamically interrogating sources for updated data to meet subscriber requirements, ensuring timely and relevant weather information for flight trajectories.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If forecast weather information is updated at long intervals (30 minutes to 3 hours), then processing complexity is reduced, but weather accuracy and relevance to flight trajectory deteriorate

Engineering Contradiction:
Improveprocessing complexityVSAvoidweather accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the large-area forecast weather data into smaller, more relevant regions based on flight trajectory. By dividing the forecast area into segments corresponding to specific flight paths and time intervals, the system processes only the necessary portions of weather data, reducing overall processing complexity while maintaining high weather accuracy for the specific flight segments.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by providing different levels of weather data detail for different regions. High-resolution weather data is processed only for areas along the flight trajectory where accuracy is critical, while less detailed data is used for surrounding areas. This selective processing maintains weather accuracy for the flight path without requiring full high-resolution processing of entire forecast regions.

Inventive Principle:
Principle #3Local quality

2Area of stationary object

If forecast weather data is used for large regions, then data coverage area is increased, but weather relevance to specific flight trajectories deteriorates

Engineering Contradiction:
Improvedata coverage areaVSAvoidweather relevance
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The system segments the large-area forecast data by extracting and processing only the portions relevant to specific flight trajectories. By dividing the broad coverage area into trajectory-specific segments, the patent maintains comprehensive data coverage while ensuring high weather relevance to actual flight paths through selective processing of segmented regions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by enhancing weather data resolution and detail specifically for regions along flight trajectories while maintaining broader coverage. The system provides localized, high-relevance weather information for specific flight paths without sacrificing overall data coverage area, as the broad coverage serves as the foundation for extracting trajectory-specific details.

Inventive Principle:
Principle #3Local quality

3Measurement precision

If multiple weather data sources are evaluated, then weather accuracy is improved, but processing complexity and time increase

Engineering Contradiction:
Improveweather accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the evaluation of multiple weather data sources by processing them in trajectory-specific segments rather than evaluating all sources for entire regions simultaneously. By dividing the multi-source evaluation into smaller, trajectory-based segments, the system maintains high weather accuracy through comprehensive source evaluation while reducing processing complexity through segmented execution.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by evaluating multiple weather data sources selectively based on trajectory relevance and confidence thresholds. Rather than exhaustively processing all available weather sources for all regions, the system performs partial evaluations focused on the most relevant sources for specific flight paths, achieving sufficient weather accuracy without the full processing burden of exhaustive multi-source evaluation.

Inventive Principle:
Principle #16Partial or excessive action

4Quantity of substance

If weather data processing time is extended, then data completeness is improved, but timeliness and applicability to current flight conditions deteriorate

Engineering Contradiction:
Improvedata completenessVSAvoidweather timeliness
Core Design Contradiction:
Quantity of substanceVSLoss of time

Solution Approach 1:

The patent segments the weather data processing into time-specific segments aligned with flight trajectory segments. By processing weather data in time-aligned segments rather than as a single comprehensive batch, the system achieves sufficient data completeness for each time segment while maintaining timeliness, as each segment is processed and delivered within the relevant time window for its corresponding flight portion.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS9645282B2Adaptive weather interrogation system
Publication Date: 2017.05.09 THE BOEING CO
  • US9645282B2 patent drawing
  • US9645282B2 patent drawing
  • US9645282B2 patent drawing

AI summary

An adaptive weather interrogation system capable of determining whether currently available weather for a particular trajectory or portion thereof, a particular volume of space or geospatial point meets subscriber operations and requirements. More specifically, the system provides the capability to determine the “best” weather information by evaluating the weather data and associated weather quality, accuracy or confidence attribute values against subscriber operations and requirements. If the weather data, quality, accuracy, and confidence do not meet the subscriber's requirements, the system is capable of interrogating weather data sources for additional or updated weather data to meet the subscriber's needs.