Sensor Apparatus In-Flight Detection for Aviation Compliance
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Solution Overview
Problem
Existing sensor apparatuses fail to accurately determine when a shipping container is in-flight, leading to difficulties in turning off communication functionality as required by regulations, and struggle to differentiate between in-flight and ground-moving states.
Innovation Solution
The sensor apparatus calculates a target function based on accelerometer and gyroscopic sensor data to determine if it is in an in-flight state, using threshold values to differentiate between stopped, ground-moving, and flying states, and turns off radio transmission when in-flight to comply with aviation regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the sensor apparatus uses communication functionality during transport, then fleet management and cargo monitoring capabilities are improved, but regulatory compliance deteriorates when the container is airborne
Solution Approach 1:
The system performs preliminary detection of in-flight status using accelerometer and gyroscope data before communication occurs. By calculating a target function from sensor readings and comparing it against thresholds, the system proactively determines whether the container is airborne and prevents regulatory violations by turning off communication functionality in advance
Solution Approach 2:
The system continuously monitors sensor data and provides feedback about the container's motion state. The target function calculation and threshold comparison create a closed-loop feedback mechanism that adjusts communication functionality based on real-time detection of in-flight conditions, ensuring ongoing compliance while maintaining monitoring capabilities when appropriate
2Measurement precision
If the sensor apparatus continuously monitors transport status, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system replaces complex mechanical or electronic flight detection mechanisms with a computational approach. By substituting physical detection hardware with algorithmic processing of accelerometer and gyroscope data, the system achieves accurate in-flight status detection while minimizing additional device complexity
Solution Approach 2:
The system changes the parameter space by combining multiple sensor parameters (accelerometer and gyroscope readings) into a single target function. This parameter transformation simplifies the detection logic by reducing multi-dimensional sensor data to a one-dimensional threshold comparison, thereby improving detection accuracy without proportionally increasing complexity
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
This solution accurately identifies in-flight status, ensuring compliance with FAA regulations by reliably turning off communication functionality during flight and restoring it upon landing, thereby preventing interference and maintaining regulatory compliance.
Implementation Method 1
calculating a value for a target function based on at least one sensor of the sensor apparatus... based on accelerometer and gyroscopic sensor data
Implementation Method 2
based on accelerometer and gyroscopic sensor data
Data Source
AI summary
A method at a sensor apparatus, the method including calculating a value for a target function based on at least one sensor of the sensor apparatus; determining that the value of the target function is within a defined threshold range for a defined time period, thereby finding an in-flight state for the sensor apparatus; and turning off transmission from a radio of the sensor apparatus based on the in-flight state.