Automated Flight Plan Deviation Clearance Request System
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Solution Overview
Problem
Flight crews and air traffic controllers often fail to timely notice or respond to changes in flight plans due to weather, terrain, or other factors, leading to potential inefficiencies and safety risks.
Innovation Solution
A system on board an airplane generates a clearance request to deviate from a flight plan automatically, using inputs from sources like TCAS and weather radar, and presents a preconfigured clearance request message to the pilot for approval, which can then be sent to air traffic control via a datalink, reducing the need for manual intervention and enhancing timely decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If flight crews and air traffic controllers manually monitor and respond to flight plan changes, then human judgment and flexibility are maintained, but response time is delayed and workload is high
Solution Approach 1:
The system performs preliminary analysis of flight plan changes, weather conditions, and terrain data automatically before human operators need to act. The automated system continuously monitors parameters and prepares deviation recommendations in advance, reducing the time from change detection to actionable recommendation.
Solution Approach 2:
An automated intermediary system is introduced between the flight plan data and human operators. This intermediary automatically processes raw data, identifies meaningful changes, and presents processed recommendations to pilots and controllers, reducing their cognitive load and response time.
2Productivity
If automated systems are introduced to detect flight plan changes, then response time improves and workload reduces, but system complexity increases
Solution Approach 1:
The automated system performs multiple functions within a single integrated platform: monitoring flight plan changes, analyzing weather data, evaluating terrain constraints, generating deviation recommendations, and communicating with operators. This multi-functionality improves productivity while containing complexity within a unified system architecture.
Solution Approach 2:
The system automatically monitors its own operational parameters and self-adjusts based on predefined criteria. It autonomously detects changes, evaluates conditions against safety parameters, and generates recommendations without requiring constant human intervention, thereby improving operational efficiency.
3Reliability
If manual monitoring of flight conditions is used, then system simplicity is maintained, but safety risks increase due to missed or delayed responses
Solution Approach 1:
The system continuously monitors flight conditions and provides real-time feedback to operators when deviations from the flight plan are detected. This feedback loop includes automated alerts and recommendations, ensuring that safety-critical changes are communicated promptly while maintaining a clear, operator-friendly interface.
Solution Approach 2:
The automated system performs preliminary safety assessments and identifies potential hazards before they become critical threats. By continuously analyzing flight parameters, weather, and terrain data in advance, the system prepares safety recommendations that enhance protection without overwhelming operators with complex information.
Data Source
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AI summary
A method to generate a clearance request to deviate from a flight plan comprising receiving input from at least one flight-plan-relevant source, determining a revised flight route based on the received input, and generating a preconfigured clearance request message to deviate from the flight plan for a user based on the determining. The method further comprises prompting the user for one of approval and rejection of the clearance request to deviate from the flight plan. The preconfigured clearance request message is downlinked when an approval of the clearance request to deviate from the flight plan is received from the user.