Automated Aircraft Approach Path Verification and Obstacle Detection
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Solution Overview
Problem
Current methods for guiding aircraft to platforms, especially in adverse weather conditions, are prone to errors due to the difficulty in detecting obstacles and maintaining accurate approach paths without automated navigation systems, leading to potential safety risks.
Innovation Solution
A method that includes a preparation stage for establishing a theoretical approach path, a consolidation stage to verify the accuracy of the platform's position, and a security stage to assess and display potential dangers from entities with automatic identification systems, allowing for real-time adjustments and alternative path planning to ensure safe landing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual piloting is used in adverse weather conditions, then the crew can maintain control of the aircraft, but the difficulty in detecting obstacles and maintaining accurate approach paths increases
Solution Approach 1:
The patent replaces manual mechanical piloting with an automated navigation system that uses electronic sensors and computers to detect obstacles and guide the aircraft. The system automatically processes sensor data to identify obstacles and calculate safe approach paths, substituting human manual control with automated electronic systems that are more reliable in adverse weather conditions.
Solution Approach 2:
The patent introduces an automated navigation system as an intermediary between the pilot and the aircraft controls. This intermediary system processes sensor data, identifies obstacles, and generates guidance commands, acting as a mediator that enhances obstacle detection capability while reducing the direct burden on the pilot during manual operation.
2Measurement precision
If automated navigation systems are implemented, then obstacle detection accuracy improves, but the system complexity increases
Solution Approach 1:
The patent implements a multi-functional navigation system that performs multiple tasks including obstacle detection, path planning, and guidance generation within a single integrated system. This universal approach consolidates what would otherwise require separate systems, reducing overall complexity while maintaining high detection accuracy through the use of advanced sensor fusion and automated processing.
3Loss of information
If the crew continuously monitors instrument displays and visual cues, then situational awareness is maintained, but the transition between instrument flying and visual flying increases workload and error risk
Solution Approach 1:
The automated navigation system performs self-monitoring and self-correction functions, continuously tracking obstacles and adjusting the approach path without requiring constant pilot intervention. The system serves itself by automatically processing sensor data and generating guidance commands, freeing the pilot from continuous monitoring while maintaining situational awareness through automated alerts and displays.
Data Source
AI summary
A method having a preparation stage for preparing an approach path (25) to a theoretical position (20′) of a platform (20). During a consolidation stage, a current position (20″) of said platform (20) is determined and an alert is triggered when the distance (D1) between said theoretical position (20′) and said current position (20″) is greater than a first threshold. During a security stage, entities provided with respective automatic identification systems and present in a predetermined monitoring zone (OCZ) are monitored, and a horizontal representation of said approach path (25) is displayed on a display screen (8) together with the following for each entity: a plot (41) representing its current position; an indication (42) of the travel direction of the entity; and a representation (43) relating to the danger level of the entity.