Aircraft Identification via Inertial Sensor Data Comparison
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Solution Overview
Problem
Aircraft maintenance and tracking are hindered by the difficulty in identifying the aircraft on which specific equipment, such as galley components, are located, especially during flights, due to busy schedules and limited onboard resources.
Innovation Solution
An inertial measurement unit on the aircraft measures physical parameters like vibration, temperature, and acceleration, transmitting this data for comparison with flight data associated with known aircraft, allowing real-time identification of the aircraft.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual tracking methods are used to identify aircraft equipment location, then equipment can be tracked, but it requires crew effort and time during flight which reduces productivity
Solution Approach 1:
The system uses automatic identification through sensor data comparison, allowing the aircraft identification system to serve itself without requiring manual intervention from crew members. The automated comparison of sensor data with flight data automatically identifies the aircraft, eliminating the need for crew to manually report equipment location.
Solution Approach 2:
The patent replaces manual mechanical tracking methods with an automated electronic system that uses sensors to collect physical parameters and electronically compares them with flight data. This substitution of mechanical/manual processes with electronic automation eliminates crew effort while maintaining accurate equipment location tracking.
2Loss of information
If equipment tracking is performed manually by crew, then location can be identified, but it increases the time required for maintenance preparation and reduces response speed
Solution Approach 1:
The system performs preliminary data collection and processing during normal flight operations. Sensors continuously collect physical parameters and the system maintains updated equipment location information without requiring special maintenance personnel or time. This preliminary automation ensures location data is ready immediately when maintenance is needed.
Solution Approach 2:
The system provides continuous feedback by automatically comparing sensor data with current flight data and updating equipment location information in real-time. This feedback mechanism ensures that maintenance personnel always have the most current location information without needing to manually query or update records, reducing preparation time.
3Productivity
If automated sensor data collection is implemented, then real-time aircraft identification is achieved, but device complexity increases
Solution Approach 1:
The system uses universal sensors that can detect various physical parameters (temperature, pressure, vibration) which serve multiple purposes: identifying aircraft location, monitoring equipment status, and providing data for maintenance decisions. This multi-functionality reduces the need for specialized dedicated equipment, thereby limiting the increase in device complexity.
Solution Approach 2:
The patent relies on comparing changes in physical parameters measured by sensors with corresponding flight data parameters. By focusing on parameter changes rather than requiring complex identification systems, the solution achieves real-time identification through straightforward data comparison of physical quantities like temperature, pressure, and vibration levels.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and timely identification of aircraft equipment location during flights, facilitating efficient maintenance and reducing downtime by providing a method that does not require onboard effort.
Implementation Method 1
the aircraft comprises a unit located on the aircraft, wherein the unit comprises a sensor; wherein the sensor measures a physical parameter relating to the aircraft
Data Source
AI summary
A method of identifying an aircraft. The aircraft includes a unit located on the aircraft. The unit includes a sensor. The method includes the steps of: the sensor measuring a physical parameter relating to the aircraft; the unit providing data relating to the measurement; storing the data and/or transmitting the data. The data is stored or transmitted periodically and/or with an associated timestamp, and the method also includes comparing the data with flight data associated with a known aircraft.