Vehicle Storage End-of-Life Detection via Data Agreement
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Solution Overview
Problem
Existing information processing systems struggle to accurately determine when a storage device has reached end-of-life, as the upper limit write count is set below the actual end-of-life point, leading to uncertainty about the storage's writability.
Innovation Solution
The system employs two storage devices, where specific data is stored in both and compared. If the data does not agree between the two storages, it indicates that one storage has reached end-of-life, allowing for accurate determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the upper limit value is set below the actual end-of-life point to ensure safety, then the reliability of storage is improved, but the measurement precision of end-of-life detection deteriorates
Solution Approach 1:
The patent changes the detection parameter from write count (which requires setting an upper limit) to data agreement status between multiple storages. By monitoring whether data written to multiple storages agrees, the system can detect end-of-life without needing to set a conservative upper limit, thus resolving the contradiction between reliability and measurement precision.
2Reliability
If the upper limit value is set below the actual end-of-life point, then the safety factor is improved, but the accuracy of determining actual end-of-life deteriorates
Solution Approach 1:
The patent uses multiple storage devices as copies to detect end-of-life. By writing the same data to multiple storages and comparing agreement, the system can accurately determine when a storage reaches end-of-life without needing to set a conservative upper limit, thus maintaining both safety factor and determination accuracy.
3Measurement precision
If data is stored in multiple storages and compared, then the accuracy of end-of-life detection is improved, but the device complexity increases
Solution Approach 1:
The patent segments the storage detection function into multiple independent storage devices. Each storage device operates independently, and the control device compares data between them to detect end-of-life. This segmentation allows accurate detection while maintaining simple individual storage device designs.
Solution Approach 2:
The multiple storage devices serve dual functions: they store vehicle data for normal operation and simultaneously serve as detection sensors for end-of-life monitoring. By writing the same data to multiple storages and comparing agreement, the system achieves accurate end-of-life detection without requiring separate detection hardware, thus reducing overall system complexity.
Data Source
AI summary
An information processing system includes processing circuitry, a first storage, and a second storage. The processing circuitry stores the same specific data in the first storage and the second storage. The processing circuitry compares the specific data stored in the first storage with the specific data stored in the second storage. The processing circuitry determines that one of the first storage and the second storage has reached end-of-life on condition that the specific data stored in the first storage and the specific data stored in the second storage do not agree with each other.