Real-Time Flight Parameter Guidance From Classified Flight Data
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Solution Overview
Problem
Current aircraft systems generate vast amounts of data that are difficult to process and review in a timely manner, leading to valuable information being wasted, as they lack the capability to handle the volume effectively, and existing approaches are susceptible to data loss, corruption, and inefficient knowledge distribution.
Innovation Solution
A computer-implemented method that classifies flight data, compares current flight parameters to historical data in real-time, and provides preferred actions and parameters to aircraft systems, leveraging a cognitive engine to create a knowledge database and share best practices among pilots, enhancing security and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If more complex computers and systems are added to airplanes to improve flight aspects, then security and efficiency are improved, but the volume of data generated increases making it impossible to review and process in reasonable time
Solution Approach 1:
The system performs preliminary classification of flight data into categories during flight operations, organizing data in advance for faster subsequent analysis. This preliminary organization enables the system to quickly retrieve and process only relevant data categories when needed, rather than reviewing all generated data
Solution Approach 2:
The system extracts and isolates specific categories of flight data from the overwhelming total data volume generated by aircraft systems. By separating relevant data (such as safety-critical parameters, performance metrics, and operational events) from the bulk data, the system enables focused analysis of only the most important information
2Loss of information
If flight data is collected and stored for analysis, then valuable information can be gleaned, but the data is susceptible to loss, corruption, and inefficient knowledge distribution
Solution Approach 1:
The system implements feedback mechanisms where classified flight data is continuously monitored, validated, and cross-checked against established parameters and patterns. This feedback loop detects data integrity issues, validates data quality, and ensures accurate knowledge distribution to relevant systems and users
Solution Approach 2:
The system performs preliminary validation and classification of flight data immediately upon collection, organizing data into structured categories with appropriate metadata and integrity checks. This preliminary processing prevents data loss and corruption by establishing proper data management protocols from the outset
3Productivity
If pilot experience and knowledge are utilized in flight execution, then flight results improve, but the knowledge is lost when the pilot leaves the plane
Solution Approach 1:
The system creates digital copies of pilot knowledge and experience by capturing flight data, decisions, and outcomes, then storing this information in a structured database. This copying mechanism preserves pilot expertise for future retrieval and application to similar flight scenarios, preventing knowledge loss when pilots complete their flights
Solution Approach 2:
The system establishes feedback loops where pilot actions and flight outcomes are continuously monitored and fed back into the knowledge base. This feedback mechanism enables the system to learn from pilot experience and progressively improve flight execution by applying accumulated knowledge to future operations
Data Source
AI summary
Real-time identification and provision of preferred flight parameters is provided by obtaining flight data of aircraft flights and classifying the flight data according to categories, acquiring current flight parameters from devices of an aircraft during an in-process flight, comparing the current flight parameters to the classified flight data and identifying, in real-time during the in-process flight, and based on thresholds in correlations between the current flight parameters and the classified flight data, preferred action(s) to take and preferred flight parameter value(s) for the in-process flight given current conditions of the aircraft and surrounding environment as reflected by the current flight parameters, and providing the preferred flight parameter values to computer system(s) of the aircraft.