Vehicle Sensor Buffer Management for Accident Data Preservation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Reconstructing automobile accidents is a difficult task due to contradictory witness testimonies and health and safety concerns, which complicate the collection and management of sensor data necessary for insurance claims processing.
Innovation Solution
A system and method for collecting and managing sensor data from vehicles, including photographs, video, and audio, which initiates data recording and storage upon detection of a proximate event trigger, such as excessive braking force, and sends the data to a server for analysis and reconstruction purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensor data is continuously collected and stored in a buffer, then data availability for event reconstruction is improved, but data loss occurs when buffer capacity is exceeded without an event trigger
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing sensor data in a buffer before an event occurs. This pre-positioning of data ensures that when an event trigger is detected, the necessary data is already available for immediate analysis and reconstruction, preventing data loss that would occur if collection started after the event.
2Reliability
If all sensor data is retained in the buffer, then complete event reconstruction is possible, but system memory requirements and data management complexity increase
Solution Approach 1:
The system extracts and transmits only the relevant sensor data from the buffer to the server when an event trigger is detected. This selective extraction approach maintains complete event reconstruction capability while reducing the burden of managing and storing all possible data locally, thereby reducing system complexity.
3Loss of information
If sensor data transmission is continuous, then data is available for analysis, but network bandwidth is consumed even when no events occur
Solution Approach 1:
The system uses periodic action by continuously monitoring sensor data for event triggers and only initiating data transmission when a trigger condition is met. This approach ensures data availability for analysis while conserving network bandwidth by avoiding continuous transmission during normal, non-event conditions.
4Quantity of substance
If data purging is implemented to manage buffer capacity, then storage efficiency is improved, but risk of losing critical event data increases
Solution Approach 1:
The system implements feedback by continuously analyzing sensor data for event trigger conditions and using this information to control data purging operations. When an event trigger is detected, the feedback mechanism immediately stops purging and preserves all relevant data, thereby maintaining reliability while allowing efficient buffer management during normal operations.
Data Source
AI summary
A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.