Aircraft Cabin Sensor Mapping Using Passenger Mobile Devices
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Solution Overview
Problem
Aircraft interiors typically have limited sensor installations, making it time-consuming and costly to gather comprehensive datasets for analysis, which hinders the optimization of passenger experience and maintenance scheduling.
Innovation Solution
A real-time ad hoc network sensor system that utilizes a combination of fixed and mobile sensors, including those on passenger devices, to create a vehicle data-signature-map of the aircraft interior, allowing for efficient data collection and analysis without the need for extensive new sensor installations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If new sensors are installed in the aircraft interior to gather comprehensive datasets, then measurement precision and data quality improve, but device complexity and installation cost increase
Solution Approach 1:
The patent applies universality by enabling mobile devices to serve multiple functions: they act as both communication devices and sensor nodes. The mobile devices' existing sensors (accelerometers, gyroscopes, microphones, cameras) are utilized to collect aircraft interior data, eliminating the need for dedicated sensor installations while achieving comprehensive measurement coverage for vibration, noise, temperature, and visual conditions.
Solution Approach 2:
The system applies self-service by leveraging the sensors already present in mobile devices that passengers carry. Instead of requiring the aircraft operator to install and maintain additional sensor infrastructure, the system utilizes the self-contained sensors in mobile devices (accelerometers, gyroscopes, microphones, cameras) that are already functional and do not require external installation or certification.
2Quantity of substance
If hundreds of new sensors are installed throughout the fuselage to obtain large datasets, then data quantity and analysis capability improve, but installation time and certification requirements increase
Solution Approach 1:
The patent applies universality by enabling mobile devices to serve multiple functions: they act as both communication devices and sensor nodes. The mobile devices' existing sensors (accelerometers, gyroscopes, microphones, cameras) are utilized to collect aircraft interior data, eliminating the need for dedicated sensor installations while achieving comprehensive measurement coverage for vibration, noise, temperature, and visual conditions.
Solution Approach 2:
The system applies copying by using the sensors already present in mobile devices as substitutes for dedicated aircraft sensors. Instead of installing physical sensor hardware, the system copies the sensing capability that already exists in passenger mobile devices, thereby obtaining large datasets without the time-consuming installation and certification process.
3Reliability
If additional sensors are installed to monitor aircraft interior conditions, then reliability of condition monitoring improves, but ease of manufacture and installation deteriorate
Solution Approach 1:
The system applies self-service by leveraging the sensors already present in mobile devices that passengers carry. Instead of requiring the aircraft operator to install and maintain additional sensor infrastructure, the system utilizes the self-contained sensors in mobile devices (accelerometers, gyroscopes, microphones, cameras) that are already functional and do not require external installation or certification.
Data Source
AI summary
An example real-time ad hoc network sensor system includes a plurality of sensors positioned at fixed locations on an aircraft, a plurality of mobile devices in an interior of the aircraft, and a computing device having one or more processors and a non-transitory computer readable medium having stored thereon instructions, that when executed by the one or more processors, cause the computing device to perform functions including receiving outputs from the plurality of sensors and from the sensors of the plurality of mobile devices during the flight of the aircraft, mapping the outputs to a computer model of the aircraft for association with locations in the interior of the aircraft, and based on the mapping, creating a vehicle data-signature-map of the interior of the aircraft for at least one parameter of the aircraft.