Flight Object Management for Dynamic Flight Plan Optimization
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Solution Overview
Problem
The complex and dynamic nature of commercial flight planning makes it labor-intensive and prone to errors, requiring efficient tools for real-time optimization and communication across multiple systems, while existing automated systems struggle to balance various factors like cost, time, fuel, passenger comfort, and safety.
Innovation Solution
The development of a system and method for processing and managing flight information through 'flight objects' that optimize flight plans in real-time, allowing dynamic generation, updating, and communication of flight data across multiple systems, incorporating real-time, historical, and predicted data to prioritize optimization preferences such as cost, time, fuel, passenger comfort, and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated flight management tools are implemented, then productivity and error reduction are improved, but device complexity increases
Solution Approach 1:
The system segments flight plan management into distinct functional modules: flight plan generation, real-time monitoring, automated updates, and communication interfaces. Each module handles specific tasks independently, improving productivity while containing complexity within manageable segments rather than a monolithic system.
Solution Approach 2:
The automated flight management system is designed as a multi-functional platform that handles flight plan creation, real-time tracking, weather integration, fuel optimization, and communication with multiple stakeholders (pilots, dispatchers, air traffic control). This universal approach consolidates multiple tools into one system, improving overall productivity without proportionally increasing complexity.
2Reliability
If real-time dynamic updates are implemented, then reliability and safety are improved, but loss of time in processing increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating multiple flight plan alternatives and pre-loading weather, airspace, and aircraft performance data before flight departure. When real-time updates are needed, the system can quickly select and adjust from pre-prepared options, maintaining high reliability while minimizing processing time during critical flight phases.
Solution Approach 2:
The system implements continuous feedback loops that automatically monitor flight parameters, weather conditions, and airspace changes. When deviations are detected, the system automatically generates update recommendations and can implement corrections without requiring manual intervention, ensuring reliability while reducing the time loss associated with human processing delays.
3Adaptability or versatility
If multiple system communications are integrated, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system employs standardized communication interfaces and data exchange protocols as intermediaries between different flight management systems, weather services, air traffic control systems, and airline operations centers. This intermediary layer enables adaptable communication across multiple systems while containing complexity within the interface standards rather than requiring complex point-to-point integrations.
4Reliability
If comprehensive flight considerations are balanced, then reliability is improved, but loss of time in decision-making increases
Solution Approach 1:
The system applies partial action by implementing tiered optimization: critical factors (safety, regulatory compliance, aircraft performance) are fully optimized with comprehensive analysis, while secondary factors (fuel efficiency, passenger comfort preferences) use simplified models or default settings. This approach achieves reliable flight plans by focusing computational resources on essential considerations while reducing time loss on less critical decisions.
Data Source
AI summary
Systems and methods for processing aircraft flight information and flight plan information are described. Specific techniques are described for managing flight data in real time, sharing flight data between a plurality of systems, dynamically managing flight information, generating flight plan information, providing flight plan information to a user, and closing flight plan discontinuities.