Dynamic Time Window Data Storage for Vehicle Event Recorders
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Solution Overview
Problem
Current data recorders in vehicles typically stop recording data once a trigger event occurs, leading to the loss of important information before and after the event, such as accidents or emergency braking scenarios.
Innovation Solution
A method and system for situation-dependent data storage that captures and stores data in a volatile memory before and after a trigger event, with a dynamically selected time window, transferring data to a read-only memory upon occurrence, allowing for continuous data collection and storage in a non-volatile memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data recording ends when triggering a restraint system, then storage space is conserved and processing is simplified, but important information after the trigger event is lost
Solution Approach 1:
The patent implements dynamic time window adjustment based on trigger events. The recording system automatically extends the data capture period beyond the trigger moment when relevant, creating a flexible recording strategy that adapts to different event types. This resolves the contradiction by making the storage duration dynamic rather than fixed, capturing necessary post-trigger data without permanently increasing storage requirements for all operations.
Solution Approach 2:
The system changes the time parameter of data recording based on detected trigger events. When a trigger is detected, the recording window is extended to include a predefined period after the event, transforming the fixed recording approach into an event-adaptive one. This parameter change ensures critical information is captured while maintaining efficient storage management through selective extended recording.
2Loss of information
If a fixed time window for data capture is used, then storage management is simplified, but important information outside the fixed window is lost
Solution Approach 1:
The patent implements dynamic time window adjustment based on trigger events. The recording system automatically extends the data capture period beyond the trigger moment when relevant, creating a flexible recording strategy that adapts to different event types. This resolves the contradiction by making the storage duration dynamic rather than fixed, capturing necessary post-trigger data without permanently increasing storage requirements for all operations.
Solution Approach 2:
The system pre-defines multiple time window configurations corresponding to different trigger event types. When a specific trigger is detected, the appropriate pre-configured time window is automatically selected and applied. This preliminary preparation of multiple recording strategies enables rapid adaptation to different events without complex real-time decision-making, resolving the contradiction between adaptability and system complexity.
3Loss of information
If data is continuously stored in volatile memory, then data availability is improved, but data loss occurs when memory capacity is exceeded
Solution Approach 1:
The patent implements periodic transfer of data from volatile to permanent storage at defined intervals and upon trigger events. This periodic action prevents volatile memory from filling up continuously, ensuring critical data is preserved in non-volatile storage while maintaining a buffer of recent data in volatile memory for rapid access. The periodic transfers balance data availability with prevention of data loss.
Solution Approach 2:
The system pre-allocates permanent storage space and establishes transfer protocols before data overflow occurs. By preparing the permanent storage destination and transfer mechanisms in advance, the system can efficiently move data from volatile to permanent storage without delays when needed, reducing both data loss risk and transfer time penalties.
Data Source
AI summary
This disclosure relates to a method for situation-dependent storage of data of a system, in which data of the system is detected, is amalgamated in at least one data block and is stored in a volatile memory, and in which, in response to the occurrence of at least one predefined trigger event in the at least one data block, amalgamated data are transferred from the volatile memory into a read-only memory, and in which a time window, in which the data for the at least one data block is captured, is selected automatically and dynamically according to the at least one trigger event.