Aircraft Flight Performance Modeling for In-Flight Icing Detection
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Solution Overview
Problem
Current methods for detecting aircraft icing during flight are either too complex, prone to false alarms, or unable to reliably detect critical icing conditions, often requiring additional sensors and influencing flow characteristics, which can lead to increased fuel consumption and safety risks.
Innovation Solution
A method using a digital flight performance model to compare current flight performance indicators with nominal indicators, derived from standard on-board sensors, to detect degradations such as icing without additional sensors or complex systems, by calculating a differential resistance coefficient and compensating for external influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional air pressure probes are arranged on the aircraft to detect icing, then detection capability is improved, but device complexity and weight increase
Solution Approach 1:
The invention extracts the icing detection function from the complex additional sensor system and relocates it to the existing flight performance model and standard on-board sensors. By removing the need for additional air pressure probes and their associated evaluation systems, the solution achieves icing detection using only sensors already present on the aircraft, thereby reducing device complexity while maintaining detection capability
Solution Approach 2:
The flight performance model, originally designed for general flight performance assessment, is enhanced to simultaneously perform icing detection. This multi-functional approach allows the existing system to serve dual purposes: maintaining flight performance monitoring while detecting icing conditions, thereby eliminating the need for dedicated additional sensors
2Reliability
If additional sensors and equipment are installed for icing detection, then detection reliability is improved, but weight increases leading to higher fuel consumption
Solution Approach 1:
The invention removes the need for additional heavy sensor equipment by extracting the detection logic from physical hardware and implementing it through software-based evaluation of existing sensor data. This eliminates the weight penalty associated with additional sensors, power supplies, and communication equipment while maintaining reliable detection through sophisticated algorithmic analysis
Solution Approach 2:
The invention replaces the mechanical sensor system with an electronic/software-based detection system. Instead of using additional physical sensors to detect icing, the system uses electronic processing of flight performance parameters from standard sensors, thereby eliminating the need for heavy mechanical equipment while achieving reliable detection
3Measurement precision
If heating systems and complex sensor systems are used to monitor flow quality, then measurement capability is improved, but device complexity and energy consumption increase
Solution Approach 1:
The invention extracts the flow quality assessment function from the active heating and sensing system and implements it through passive analysis of flight performance data. By removing the heating elements and complex sensors, the system achieves flow quality monitoring through computational evaluation of parameters already measured by standard flight instruments, thereby eliminating additional energy consumption
Solution Approach 2:
The system uses the aircraft's own existing sensor network and flight performance data to monitor aerodynamic surface conditions. Instead of requiring external energy input through heating systems, the aircraft's normal operational sensors and performance parameters are utilized to detect flow quality changes, making the system self-sufficient without additional energy requirements
4Measurement precision
If manual inspection of aerodynamic surfaces is performed, then detection accuracy is improved, but operation becomes impossible during flight
Solution Approach 1:
The invention replaces manual visual inspection with an automated electronic detection system. Instead of requiring personnel to physically examine aerodynamic surfaces (which is impossible during flight), the system uses electronic processing of flight performance parameters to continuously monitor surface conditions, thereby enabling detection during all phases of flight operation
Data Source
AI summary
The invention relates to a method and to a device for detecting a degradation of flight performance of an aircraft that is in flight, wherein current flight status data of the aircraft that is in flight are first determined. A flight performance index is then calculated on the basis thereof. Furthermore, on the basis thereof, a nominal flight performance reference index is determined by means of a flight performance model, wherein a degradation of flight performance can be inferred by comparing the two indices.