Fuel Quantity Verification via Performance Deviation Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current fuel quantity indicator systems in aircraft are prone to errors due to incorrect initialization, leading to potential fuel shortages, as seen in incidents like the 'Gimli Glider', and existing methods for predicting aircraft performance do not effectively check for discrepancies in fuel quantity.
Innovation Solution
A method and system that predicts aircraft performance based on input parameters including assumed fuel quantity and measures actual performance data from various sensors, comparing the two to detect deviations and provide alerts for potential fuel quantity errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fuel quantity is calculated using ground personnel calculations and FMS decrement, then fuel quantity indication is provided, but the system is fully dependent on correct initialization and prone to clerical errors
Solution Approach 1:
The system continuously monitors actual vehicle performance parameters (fuel flow, airspeed, vertical speed, trim position) and compares them against predicted performance based on assumed fuel quantity. When deviations exceed a threshold, the system generates an alert, creating a closed-loop feedback mechanism that detects initialization errors without requiring additional fuel quantity sensors.
Solution Approach 2:
The system uses the vehicle's own existing performance data and sensor systems to self-diagnose fuel quantity discrepancies. Rather than requiring external fuel quantity measurement systems, the method leverages the vehicle's operational characteristics to indirectly verify fuel quantity, making the system self-sufficient.
2Reliability
If performance-based monitoring is implemented to detect fuel quantity errors, then detection capability is improved, but system complexity increases
Solution Approach 1:
The system repurposes existing vehicle sensor systems (fuel flow sensors, airspeed sensors, vertical speed sensors, trim position sensors) originally designed for other functions to also serve fuel quantity verification. This multi-functional approach avoids adding dedicated hardware while achieving the detection capability.
Solution Approach 2:
The system uses performance parameters as intermediary variables to indirectly measure fuel quantity. Instead of directly measuring fuel quantity with potentially faulty sensors, the method measures performance characteristics that are influenced by fuel quantity, using these performance metrics as mediators to infer the actual fuel state.
Data Source
AI summary
A system and method for checking the fuel quantity of a vehicle based on vehicle performance includes predicting vehicle performance based from a number of vehicle related input parameters including assumed fuel quantity to provide predicted vehicle performance data. Actual vehicle performance is measured from a number of vehicle sensor systems to provide measured actual vehicle performance data. The predicted vehicle performance data is compared with the measured actual vehicle performance data to provide an indication as to whether the vehicle is operating within a selected tolerance of the prediction. An alert message is provided if the vehicle is determined to be operating outside of the selected tolerance of prediction.