Vehicular Telemetry Data Acquisition Mode Switching
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Solution Overview
Problem
Vehicular telemetry systems face challenges in detecting significant events due to the limitations of filtered data acquisition modes, which often fail to accurately identify events due to noise reduction at the cost of detail loss, and switching to higher resolution unfiltered modes in real-time is not efficiently managed.
Innovation Solution
A system comprising a microprocessor, accelerometer, and memory that dynamically switches between filtered and unfiltered data acquisition modes based on threshold values, using filters like moving averages to determine indicator values and adjust data logging accordingly, allowing for real-time detection and detailed data capture during events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If filtered data acquisition mode is used to reduce noise, then measurement reliability is improved, but measurement precision deteriorates due to detail loss
Solution Approach 1:
The system dynamically switches between filtered and unfiltered data acquisition modes based on detected event conditions. During normal operation, filtered mode is used for noise reduction; when an event is detected, the system transitions to unfiltered mode to capture detailed event characteristics, thus resolving the contradiction between noise reduction and precision
Solution Approach 2:
Different data processing qualities are applied to different time periods: filtered processing is applied during normal operation periods, while unfiltered processing is applied locally during detected event periods. This allows the system to maintain high reliability during normal operation while ensuring high precision during critical event capture
2Measurement precision
If unfiltered data acquisition mode is used to improve event detection accuracy, then measurement precision is improved, but loss of information increases due to noise
Solution Approach 1:
The system uses dynamic mode switching to apply unfiltered acquisition only when and where needed (during detected events), rather than continuously. This allows high precision event detection while limiting noise exposure to only the necessary time window, thus reducing overall information loss
Solution Approach 2:
Instead of continuously acquiring unfiltered data (excessive action), the system applies unfiltered acquisition partially only during detected event windows. This partial action approach achieves sufficient event detection precision while minimizing the accumulation of noisy information
3Measurement precision
If high-resolution unfiltered data is continuously acquired, then measurement precision is improved, but device complexity increases due to memory and processing demands
Solution Approach 1:
The system dynamically adjusts data acquisition resolution based on operational state. During normal operation, low-resolution filtered data is acquired to minimize memory and processing demands. Upon event detection, the system transitions to high-resolution unfiltered data acquisition only for the duration of the event, thus achieving high precision when needed while maintaining low device complexity overall
Solution Approach 2:
The system changes the data acquisition parameter (resolution/filtering level) based on detected conditions. By switching between different acquisition modes (filtered/unfiltered, low-resolution/high-resolution), the system optimizes the balance between measurement precision and resource consumption, avoiding the need for continuously high-resolution acquisition that would overwhelm memory and processing capabilities
Data Source
AI summary
A method and apparatus in a vehicular telemetry system and a remote data analysis system for detecting an event and switching a data acquisition mode. Checking a state of a data acquisition mode. If the state is in a filtered data state and if an indicator value is at or above a threshold value, then switch the data acquisition mode to an unfiltered data state and acquire unfiltered data. If the data acquisition mode is in an unfiltered data state and if the indicator value is below the threshold value, switch the data acquisition mode to a filtered data state and acquire filtered data.