Crash Detection Sampling Control for Reliable Parachute Deployment
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Solution Overview
Problem
Existing crash detection systems for flying objects lack the speed and reliability needed to accurately differentiate between abnormal data and noise, leading to potential malfunctions in parachute and airbag deployment devices.
Innovation Solution
A crash detection device with a sampling frequency of 1 kHz or more to distinguish between abnormal data and noise, allowing for precise abnormality detection without the need for electromagnetic wave shielding, and a dual mode operation to conserve power by adjusting sampling frequency based on normal or abnormal conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the sampling frequency is increased to 1 kHz or more to improve abnormality detection accuracy, then the reliability of crash detection is improved, but the power consumption and data processing load increase
Solution Approach 1:
The sampling frequency is dynamically adjusted based on the operational state of the flying object. During normal operation, the system samples at a lower frequency to conserve power. When abnormality is detected or during critical phases of flight, the sampling frequency increases to 1 kHz or more to ensure accurate detection, thus resolving the contradiction between reliability and power consumption
Solution Approach 2:
The system changes the sampling frequency parameter according to different operational conditions. By transitioning between different sampling rates (low during normal operation, high during abnormality detection), the system optimizes both power consumption and detection reliability without requiring continuous high-frequency sampling
2Measurement precision
If electromagnetic wave shielding members are added to prevent noise interference, then the measurement precision is improved, but the weight and device complexity increase
Solution Approach 1:
The patent replaces mechanical/electromagnetic shielding solutions with a signal processing approach. By using high-frequency sampling (1 kHz or more) and appropriate signal processing algorithms, the system can distinguish abnormal signals from noise in the time domain without requiring physical shielding members, thus maintaining measurement precision while avoiding increased weight and complexity
Solution Approach 2:
The system changes the detection parameter from relying on physical shielding to relying on sampling frequency and signal processing. By increasing the sampling frequency and using computational methods to filter noise, the system achieves the same measurement precision improvement without adding physical shielding components
Data Source
AI summary
A crash detection device for mounting on a flying object having a parachute or paraglider deployment device. The crash detection device includes a sensor for measuring a parameter related to a flying state of the flying object. The sensor is configured for acquiring data of the parameter in a normal mode in which the data is acquired at a sampling frequency of less than 1 kHz, and in an abnormal mode in which the data is acquired at the sampling frequency of 1 kHz or more. The crash detection device further includes a detector coupled to the sensor and configured for verifying proper operation of the sensor; and a controller configured for receiving from the sensor values of the parameter and for determining flying state of the flying object.