Digital Flight Management System for Real-Time Risk Assessment
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Solution Overview
Problem
Current digital platforms struggle to assess flight risks in real-time, especially when an aircraft is in flight, and lack automated solutions for comprehensive risk assessment.
Innovation Solution
A digital flight management system that processes flight request data, aircraft parameters, and geographical data to calculate predicted flight paths and assess flight risks by comparing these paths with flight risk data from sources like weather data and NOTAM feeds, displaying the results via a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated flight risk assessment is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The flight risk assessment system is divided into multiple independent modules: flight path calculation module, risk data acquisition module, comparison module, and display module. Each module performs a specific function, allowing the complex assessment process to be broken down into manageable segments that can be executed automatically without overwhelming system complexity.
Solution Approach 2:
The digital processing environment is designed to perform multiple functions: accessing flight request data, calculating predicted flight paths, acquiring risk data from multiple sources (weather, NOTAMs), comparing paths with risk data, and displaying results. This multi-functional approach consolidates what would otherwise require multiple separate systems into a single unified platform, improving productivity while managing complexity.
2Reliability
If real-time flight risk assessment is performed, then reliability is improved, but use of energy increases
Solution Approach 1:
The system calculates the predicted flight path in advance before actual flight begins, and performs risk assessment comparisons during the flight based on this pre-calculated path. By preparing the flight path prediction beforehand, the system reduces the computational burden during real-time operation, enabling continuous monitoring without excessive energy consumption while maintaining high reliability through ongoing risk assessment.
3Measurement precision
If comprehensive risk data from multiple sources is integrated, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system merges data from multiple independent sources including weather data, NOTAMs (Notices to Air Men), and flight request data into a unified risk assessment framework. By combining these diverse data streams through a centralized digital processing environment, the system achieves comprehensive and precise flight risk assessment without requiring separate complex systems for each data source, as all data are integrated and processed together in one platform.
Data Source
AI summary
Described are various embodiments of a flight management method and system using same. In one embodiment, a digital flight management system comprises: a digital processing environment comprising instructions to access: flight request data related to a flight plan; aircraft parameter data; a flight risk data source; and geographical data. The instructions are executable to: calculate a predicted flight path; digitally compare the predicted flight path with flight risk data from the flight risk data source to assess a flight risk associated with the predicted flight path; and display via a user interface the predicted fight path in accordance with the flight risk.


