Cargo Flight Status Detection Using Accelerometer and Gyroscope
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Solution Overview
Problem
Existing aircraft status detection systems are inefficient in accurately determining whether a cargo is in a flying state, particularly during takeoff and landing, and do not effectively manage radio interference with aircraft systems, violating flight safety regulations.
Innovation Solution
A low-power method using a housing with an accelerometer and gyroscope to detect linear and angular acceleration, generating a flight status output signal to determine if the cargo is in-flight, and controlling a radio's power state accordingly, employing state machine algorithms and filtering techniques to distinguish between takeoff, flight, and landing phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing aircraft status detection systems are used to determine flight state, then flight status can be detected, but the detection is inaccurate particularly during takeoff and landing phases
Solution Approach 1:
The detection system segments the flight status into distinct phases (ground, takeoff, flight, landing) and uses different detection algorithms for each phase. The state machine divides the detection process into discrete states with specific transition criteria, allowing accurate identification of each flight phase through segmented analysis of acceleration and angular rate patterns.
Solution Approach 2:
The system changes detection parameters dynamically based on flight phase. During takeoff and landing, it monitors both linear acceleration and angular rate with specific threshold values. The detection thresholds and sampling rates are adjusted according to the current state, improving accuracy by adapting parameters to the specific requirements of each flight phase.
2Reliability
If radio is kept on during flight to maintain communication, then communication is maintained, but radio interference with aircraft systems occurs violating safety regulations
Solution Approach 1:
The system performs preliminary detection of takeoff phase before the actual takeoff occurs. By monitoring acceleration patterns and angular rates in advance, it predicts the upcoming takeoff and shuts down the radio proactively before interference can occur, ensuring safety regulations are met while maintaining communication during safe phases.
Solution Approach 2:
The system continuously monitors flight status parameters and provides feedback to control the radio state. The state machine algorithm processes real-time acceleration and angular rate data, and based on the detected flight phase, automatically adjusts radio power state, creating a closed-loop feedback system that ensures radio is off during critical phases and on during safe phases.
3Object-affected harmful factors
If radio is shut down during takeoff to prevent interference, then safety is improved, but communication is lost during critical takeoff phase
Solution Approach 1:
The system shuts down the radio in advance during the approach to takeoff rather than exactly at takeoff moment. By detecting the acceleration pattern that precedes takeoff, it proactively disables the radio before interference becomes an issue, then quickly restores communication after takeoff is complete, minimizing communication loss while ensuring safety.
4Measurement precision
If high sampling rate is used for accurate flight detection, then detection precision is improved, but power consumption increases
Solution Approach 1:
The system uses periodic sampling at optimized rates rather than continuous high-rate sampling. The state machine algorithm processes data at appropriate intervals for each flight phase, reducing overall power consumption while maintaining detection accuracy. Sampling rates are adjusted periodically based on the current flight state, using higher rates only when needed for critical phase detection.
Solution Approach 2:
The system changes sampling parameters dynamically based on flight phase. During critical phases like takeoff and landing, it uses higher sampling rates to ensure accurate detection. During steady flight or ground phases, it reduces sampling rates to conserve power. This adaptive parameter adjustment maintains detection precision when needed while minimizing power consumption during less critical periods.
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
Accurately distinguishes aircraft flight events from other movements, safely shutting down radios before takeoff and restarting them after landing, minimizing false shutoffs, and achieving significant power savings with low sample rates, allowing for extended operation without recharging.
Implementation Method 1
an accelerometer (117) for detecting a linear acceleration
Implementation Method 2
a gyroscope (118) for detecting an angular rate
Data Source
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AI summary
A low power method for determining whether a cargo destined for air transport is in a flying state having the steps of: providing a housing for attachment to a cargo the housing having: an accelerometer for detecting a linear acceleration, a gyroscope for detecting an angular rate, a controller measuring a linear acceleration with the accelerometer, measuring an angular rate with the gyroscope, providing the measured linear acceleration and angular rate to the controller, and generating a flight status output signal indicating whether the housing is in a flying state as a function of the linear acceleration signal and angular rate signal.