Event Detection Sensor Sampling Rate Dynamics
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Solution Overview
Problem
Existing event detection and recording systems in military and athletic contexts face challenges with high power consumption, memory requirements, and bandwidth needs due to capturing non-event related data, which limits their operational readiness and efficiency in monitoring and storing relevant data during events.
Innovation Solution
A wearable event detection and recording system that employs a low monitoring mode to conserve power and data storage by adjusting sampling rates and activating a high monitoring mode only upon detection of a triggering event, using a microcontroller to manage sensor data and transfer relevant data to non-volatile storage before, during, and after the event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous high-rate data acquisition and storage is implemented to ensure capture of all potential events, then measurement completeness is improved, but power consumption increases and operational duration decreases
Solution Approach 1:
The system dynamically adjusts the sampling rate based on operational conditions. During normal operation, it uses a low sampling rate to conserve power. When a triggering event is detected, it automatically switches to a high sampling rate to capture detailed event data, thus resolving the contradiction between reliable event detection and power consumption.
Solution Approach 2:
The system changes the sampling rate parameter from a fixed high value to a variable value that adapts between low and high states. This parameter change allows the system to maintain event detection reliability while significantly reducing average power consumption during non-event periods.
2Loss of information
If continuous high-rate data acquisition is used to ensure sufficient capture of relevant data, then measurement completeness is improved, but memory requirements and bandwidth needs increase
Solution Approach 1:
The system dynamically adjusts the data acquisition rate based on event detection. During normal operation, it uses a low sampling rate that generates minimal data, conserving memory capacity. Upon detecting a triggering event, it switches to high-rate acquisition to ensure complete capture of relevant event data, thus resolving the contradiction between data capture completeness and memory requirements.
3Use of energy by moving object
If low sampling rate is used during normal operation to conserve power, then power consumption is reduced, but detection capability may be compromised if event occurs during low monitoring period
Solution Approach 1:
The system continuously monitors for triggering events even during low-power operation using the low sampling rate. This preliminary detection capability ensures that when an event occurs, the system can immediately switch to high sampling rate to capture the event data, thus maintaining detection reliability while conserving power during normal operation.
Solution Approach 2:
The system uses feedback from the low sampling rate monitoring to detect triggering events. When the monitoring data indicates an event has occurred, the system responds by switching to high sampling rate acquisition, ensuring that power consumption is reduced without compromising the ability to detect and record events reliably.
Data Source
AI summary
A method of detecting an event and recording quantitative parameters associated with the event is provided. The method includes securing an event detection and recording system on a piece of equipment, the event detection and recording system comprising a plurality of sensors, an internal power source, and a microcontroller. The method further includes activating a low monitoring mode and measuring one or more quantitative parameters with the one or more of the sensors at a first sampling rate to generate low monitoring mode sensor data; analyzing the low monitoring mode sensor data to detect initiation of a triggering event; terminating the low monitoring mode upon detection of the triggering event; and activating a high monitoring mode including measuring and recording one or more quantitative parameters at a second sampling rate, where the second sampling rate is greater than the first sampling rate. The associated system is also provided.