Sensor Verification Paths for Measurement and Hardware Fault Detection
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Solution Overview
Problem
Existing sensor systems face challenges in accurately detecting errors and faults, particularly in measurement data, which can lead to safety issues due to factors like silicon defects, radioactivity, and environmental changes, and current self-test methods do not effectively account for these errors.
Innovation Solution
A sensor system that generates redundant data for verification and calibration purposes, utilizing a verification component to analyze data from multiple sensor elements via independent paths and interfaces, identifying faults and providing error handling commands or calibration data to mitigate errors within a specified fault reaction time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If self-test of calculations is performed to detect hardware faults, then hardware fault detection capability is improved, but measurement errors and faults are not accounted for
Solution Approach 1:
The system segments the sensor data processing into multiple independent paths (first path and second path) that process the same sensor data differently. This segmentation allows each path to be verified independently, enabling detection of measurement errors that would affect only one path while maintaining hardware fault detection capabilities.
Solution Approach 2:
The system creates a copy of the sensor data processing through a second independent path that mirrors the first path. By comparing the results from both paths, the system can identify measurement errors without compromising the hardware fault detection mechanism. The redundant copy serves as a verification mechanism for measurement accuracy.
2Measurement precision
If redundant data generation and verification is implemented, then fault detection accuracy is improved, but system complexity increases
Solution Approach 1:
The verification component performs multiple functions: it verifies calculation data from the first path using the second path, detects hardware faults, and identifies measurement errors. This multi-functionality reduces the need for separate dedicated components for each function, thereby limiting the increase in system complexity while improving fault detection accuracy.
Solution Approach 2:
The system uses its own redundant processing paths to verify each other's results. The first and second paths serve as mutual verification mechanisms, eliminating the need for external verification systems. This self-service approach improves fault detection accuracy without proportionally increasing system complexity.
3Reliability
If multiple independent paths are used for data verification, then error identification capability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary verification by continuously maintaining both the first and second processing paths active and ready for comparison. Rather than sequentially processing and verifying data, both paths operate in parallel, preparing verification data in advance. This preliminary action reduces the fault reaction time while maintaining high error identification capability.
Solution Approach 2:
The verification process operates continuously with both processing paths running simultaneously rather than alternately. This continuous parallel operation ensures that verification is always available without interrupting the primary data processing flow, thereby minimizing loss of time while maintaining reliable error identification.
Data Source
AI summary
A sensor device using verification includes a sensor component and a verification component. The sensor component is configured to generate first data and second data. The verification component is configured to analyze the first data and the second data and generate verification data based on the first data and the second data.