Aircraft Piloting Assistance Data Processing and Display
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Solution Overview
Problem
Current aircraft piloting assistance devices lack a dynamic method for computing and displaying mission adaptation suggestions that take into account data from both certified and non-certified systems, leading to incomplete information and increased workload for crew operators.
Innovation Solution
A method for processing data from an event management device, which generates mission adaptation suggestions by receiving and processing data from various mission sources, classifying notifications, and rendering them on a Human-Machine interface based on predefined rules and metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If non-certified systems are used for piloting assistance, then development constraints are reduced and deployment is faster, but the systems cannot access or integrate data from certified avionics systems, resulting in incomplete situational awareness
Solution Approach 1:
The patent introduces an intermediary component that bridges certified and non-certified systems. This intermediary enables data exchange between the two previously isolated domains, allowing non-certified systems to access certified system data without compromising certification integrity. The intermediary acts as a controlled interface that translates and transmits information between systems with different certification statuses.
2Adaptability or versatility
If certified systems are enhanced with suggestion capabilities, then mission analysis capabilities improve, but computation power is limited and development cycles are extended due to certification constraints
Solution Approach 1:
The patent segments the piloting assistance system into certified and non-certified components. The non-certified segment handles complex computation and suggestion generation, while the certified segment maintains safety-critical functions. This segmentation allows each part to be optimized independently, avoiding the need to recertify entire systems when adding advanced capabilities.
Solution Approach 2:
The patent creates a universal architecture where non-certified systems can provide advanced mission analysis and suggestion capabilities that complement certified systems. This multi-functional approach allows the same platform to handle both safety-critical certified operations and advanced non-certified analysis, maximizing resource utilization.
3Measurement precision
If crew operators analyze all available data from multiple systems, then decision quality improves, but the time and cognitive load required increase significantly
Solution Approach 1:
The patent implements self-service through automated suggestion generation. The system automatically processes data from multiple sources, analyzes mission parameters, and generates actionable suggestions without requiring crew operators to manually analyze all raw data. This automation preserves decision quality while dramatically reducing the time and cognitive load on operators.
Solution Approach 2:
The patent incorporates feedback loops where the system continuously monitors mission data, compares it against planned parameters, and provides real-time suggestions for course corrections. This continuous feedback mechanism enables operators to make informed decisions based on processed information rather than raw data, reducing analysis time while maintaining decision quality.
Data Source
AI summary
A method for processing data generated by an event management device determining mission adaptation suggestions from current or future mission data sources, the method comprising the following steps of: receiving at least one suggestion comprising an item of information and a datum related to its construction; generating a notification for each received suggestion; storing the notification in a notifications memory. The method further comprises at least one iteration of the following steps: applying a classification operation to the notification; applying processing to the notification as a function of the classification operation, the processing comprising a step of rendering the notification on a Human-Machine interface in response to a display condition, the rendering using a display form and display dynamics.