Avionics Runway Condition Data Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Aircraft accidents and incidents often occur due to runway overrun and veer-off events caused by inadequate understanding of runway surface conditions, which can be exacerbated by contaminants like rain, snow, or ice, reducing braking friction and increasing rollout distances.
Innovation Solution
An avionics system that automatically integrates runway condition information into a Runway Overrun Awareness and Alerting System (ROAAS) by analyzing messages from external sources, such as NOTAMs, using natural language processing and AI to identify and update runway surface condition attributes, thereby providing pilots with real-time and accurate information on runway conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to obtain runway condition information, then the system complexity is reduced, but the reliability and timeliness of runway condition data are insufficient
Solution Approach 1:
The patent introduces an automated message analysis system that acts as an intermediary between external data sources (NOTAMs, weather reports) and the runway condition database. This intermediary automatically extracts, validates, and integrates runway condition information from various external sources, eliminating manual data collection while ensuring data reliability and timeliness.
Solution Approach 2:
The system performs self-service by automatically monitoring external data sources, analyzing messages for runway condition information, and updating the database without requiring manual intervention. The automated message analysis system continuously monitors for new information and updates conditions autonomously, maintaining high reliability while managing system complexity through automation.
2Loss of time
If automated message analysis is implemented, then the timeliness of runway condition information is improved, but the device complexity increases
Solution Approach 1:
The automated message analysis system operates continuously, monitoring external data sources in real-time and immediately processing new messages when they arrive. This continuous operation ensures that runway condition information is updated without time loss, maintaining timeliness through uninterrupted automated monitoring and processing.
Solution Approach 2:
The system implements feedback mechanisms where analyzed messages are immediately reflected in the runway condition database, and the system continuously monitors for updates. This feedback loop ensures real-time timeliness by automatically incorporating new information as it becomes available, with the system self-adjusting to maintain current and accurate condition data.
3Productivity
If manual integration of runway condition data is used, then the ease of operation is improved, but the productivity and accuracy of information integration are reduced
Solution Approach 1:
The patent replaces manual mechanical processes of data collection and integration with automated electronic systems. The message analysis system automatically processes text messages, extracts relevant information, and updates the database without manual intervention, significantly improving productivity and accuracy while reducing the operational burden on users.
4Measurement precision
If comprehensive automated monitoring is implemented, then the measurement precision of runway conditions is improved, but the loss of time in data processing increases
Solution Approach 1:
The automated message analysis system rapidly processes incoming messages, immediately extracting and validating runway condition information without lengthy processing delays. The system skips unnecessary processing steps by directly analyzing only the relevant portions of messages for condition data, achieving high measurement precision while minimizing time loss through efficient, targeted processing.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Methods and systems are provided for assisting operation of an aircraft by automatically using a specified value contained in a message. One method involves obtaining a first set of one or more attributes associated with a runway from a first data source, obtaining status information associated with the aircraft from a second data source, obtaining, over a network, a message relevant to the runway from an external data source, analyzing the message to automatically identify a second set of one or more attributes associated with a condition of the runway, determining a location of a reference point associated with the runway based at least in part on the status information in a manner that is influenced by the second set of one or more attributes from the message, and providing, on a display device, an indication influenced by the location of the reference point.