Automated Aviator Recognition Using Beacon Trilateration
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Solution Overview
Problem
Current systems for identifying aviators in aircraft cockpits are inefficient, requiring manual entry and taking hours to days to update pilot information across systems, slowing down operational processes and increasing costs, with no practical method for real-time automated pilot identification.
Innovation Solution
An automated aviator recognition system using a mobile device and strategically placed beacons in the cockpit, which processes beacon signals to determine the pilot's location, utilizing trilateration algorithms and an optional flight data collection and transmission system to communicate with a server for real-time identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual entry of pilot information is used, then system complexity is reduced, but identification speed and productivity deteriorate significantly
Solution Approach 1:
The mobile device serves multiple functions: it acts as both the pilot's identification credential and the location detection device. The device's existing wireless communication capabilities are leveraged to receive beacon signals and determine location, eliminating the need for separate identification and tracking systems.
Solution Approach 2:
The system uses the pilot's own mobile device to perform identification and location tracking. The device automatically processes beacon signals and communicates location information without requiring manual intervention, enabling self-service pilot identification.
2Measurement precision
If multiple tower devices are deployed for location tracking, then location precision is improved, but device complexity and cost increase
Solution Approach 1:
Instead of deploying multiple complex tower devices throughout the area, the system places simple beacon devices at specific strategic locations within the cockpit. The beacons are positioned to provide sufficient signal coverage for trilateration while maintaining minimal infrastructure complexity.
Solution Approach 2:
The beacon devices are simple, low-cost components compared to traditional tower infrastructure. The system uses multiple inexpensive beacons rather than a few complex towers, making the overall system more economical and easier to deploy.
3Extent of automation
If traditional flight data collection systems are used, then data transmission capability is maintained, but automated pilot identification capability is lost
Solution Approach 1:
The mobile device acts as an intermediary between the beacon system and the flight data collection system. It receives location information from beacons, processes it through trilateration algorithms, and transmits the identified pilot information to existing flight data systems, bridging the gap between new and existing infrastructure.
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 near real-time identification of aviators, reducing operational delays and costs by automating the pilot identification process, ensuring timely updates and efficient management of aviation operations.
Implementation Method 1
The location of the aviator is determined based on the strength of the beacon signals received by the mobile device and trilateration algorithms
Data Source
AI summary
An automated aviator recognition system and a method for recognizing an aviator in a cockpit of an aircraft are provided. The system and method allow an aviator to be recognized or identified from his/her mobile device, such as a smart phone. The automated aviator system may include a plurality of beacons configured to be located in a cockpit of an aircraft, each emitting a beacon signal, and a mobile device that communicates with the plurality of beacons, receives signal data from the plurality of beacons, sends the signal data to a system server via an Intranet or Internet connection or through a flight data collection and transmission device, the system processing the signal data to identify an aviator in possession of the mobile device and identify a location of the aviator within the cockpit as one of a captain chair or a copilot chair or another chair based on the processed signal data and providing aviator identification information to subscribed/authorized users and devices.