Drone-Based Aircraft De-icing System with Sensor Analysis
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Solution Overview
Problem
Existing de-icing systems for aircraft are inefficient due to the need for a fixed crane structure, reliance on aircraft movement speed, and inadequate targeting of ice-covered areas, leading to excessive liquid usage and environmental harm.
Innovation Solution
A method utilizing drones equipped with sensors and cameras to autonomously scan and analyze an aircraft's surface, determining an optimized inspection path based on the aircraft's type and characteristics, allowing for precise application of de-icing or anti-icing liquids using a tanker robot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed crane structure is used for de-icing, then the de-icing process can be performed, but the installation complexity and structural requirements increase
Solution Approach 1:
The patent replaces the fixed mechanical crane structure with an autonomous aerial vehicle (drone) that can freely navigate around the aircraft. This substitution eliminates the need for complex fixed infrastructure while maintaining the de-icing function, directly resolving the contradiction between reliability and device complexity.
2Reliability
If the aircraft moves under the de-icing structure at controlled speed, then the de-icing treatment can be applied, but the de-icing time increases
Solution Approach 1:
Instead of moving the aircraft under a stationary de-icing structure, the invention inverts the approach by deploying a mobile aerial vehicle that actively navigates to and treats the aircraft in place. This reversal eliminates the time-consuming movement phase while ensuring reliable treatment coverage.
Solution Approach 2:
The aerial vehicle employs dynamic flight control to adapt its speed, position, and trajectory in real-time based on ice detection data and aircraft geometry, enabling efficient treatment without requiring the aircraft to move or wait for fixed structure positioning.
3Loss of substance
If sensors detect ice presence to control liquid spraying, then liquid usage is reduced, but the precision of ice detection and treatment targeting is insufficient
Solution Approach 1:
The aerial vehicle integrates multiple functions into a single platform: ice detection sensors, three-dimensional mapping capabilities, navigation systems, and liquid delivery mechanisms all work together. This multi-functional integration enables both precise ice detection and accurate treatment targeting simultaneously, resolving the contradiction between liquid reduction and measurement precision.
Solution Approach 2:
The system continuously monitors ice presence and characteristics using sensors, processes this data in real-time to determine optimal treatment parameters, and adjusts liquid spraying accordingly. This closed-loop feedback mechanism ensures precise liquid application only where needed, achieving both substance reduction and measurement precision.
4Reliability
If the entire aircraft surface is monitored and treated, then comprehensive de-icing is achieved, but the amount of de-icing liquid required increases
Solution Approach 1:
The system applies de-icing liquid selectively only to areas where ice is detected, rather than treating the entire aircraft surface uniformly. The aerial vehicle navigates to specific locations based on sensor data and applies liquid precisely where needed, achieving comprehensive de-icing of affected areas while minimizing overall liquid consumption.
Data Source
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AI summary
Described herein is a method for analysing an aircraft (5) that is in an inspection area by means of at least one drone (1) comprising at least one sensor designed to analyse the surface of the aircraft (5). The method comprises the steps of: - bringing the at least one drone (1) into the target area; - making a first scan of at least one part of the aircraft ( 5 ); - processing the first scan to determine automatically an inspection path (12) for the at least one drone ( 1 ); and - making via the at least one drone (1) a second scan following the inspection path (12) and simultaneously analysing the surface of the aircraft (5) via the at least one sensor (18).