Sensor Abnormality Detection via Cross-Range Correlation Analysis
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Solution Overview
Problem
Existing sensor systems face challenges in accurately detecting abnormalities without changing sensor configurations, as they often rely on a trade-off between dynamic range and measurement accuracy, and are prone to sticking phenomena due to shocks, which can lead to reduced accuracy and increased user burden.
Innovation Solution
An information processing apparatus that utilizes two sensors with different dynamic ranges to detect abnormalities by analyzing the correlation between measurement values from a first and second measurement unit, allowing for improved accuracy without altering sensor configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If two sensors with different dynamic ranges are used to expand measurable range, then the measurable range is increased, but the resolution of measurement information is reduced and variations in measurement information become large
Solution Approach 1:
The patent combines data from multiple sensors with different dynamic ranges through a fusion process. The correlation calculation unit computes the correlation between measurement values from sensors with different dynamic ranges, and the abnormality detection unit uses this correlation to detect sensor abnormalities while maintaining measurement precision across the extended measurable range.
Solution Approach 2:
The patent implements a feedback mechanism where the correlation between measurement values from different sensors is continuously calculated and used to detect abnormalities. This feedback loop allows the system to monitor the relationship between sensors and identify when one sensor is malfunctioning, thereby maintaining measurement precision even when using sensors with different dynamic ranges.
2Measurement precision
If sensor configurations are changed to improve abnormality detection accuracy, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent introduces a correlation calculation unit as an intermediary that processes measurement values from multiple sensors. Instead of changing sensor configurations, this intermediary unit calculates the correlation between sensors with different dynamic ranges and uses it to detect abnormalities, thereby improving detection accuracy without increasing device complexity.
Solution Approach 2:
The patent replaces physical sensor configuration changes with a computational approach. Instead of modifying sensor hardware or arrangements, the system uses correlation calculations and data processing to achieve accurate abnormality detection, substituting mechanical/systemic changes with information processing.
3Device complexity
If a single sensor is used to simplify the system, then device complexity is reduced, but the measurable range is limited
Solution Approach 1:
The patent makes the sensor system universal by enabling it to measure a wide range of values using sensors with different dynamic ranges. The correlation calculation unit processes data from multiple sensors to provide a unified measurement capability that covers both small and large measurement values, allowing the system to function effectively across the entire measurable range despite using multiple sensors.
Data Source
AI summary
There is provided an information processing apparatus to provide a mechanism capable of improving accuracy of detection of abnormality of sensors without changing configurations of the sensors, the information processing apparatus including: an acquisition unit configured to obtain a first value obtained by measurement in a first measurement unit and a second value obtained by measurement in a second measurement unit whose dynamic range regarding measurement is a second dynamic range different from a first dynamic range of the first measurement unit; and a detection unit configured to detect abnormality of the first value or the second value on a basis of a change in a correlation between the first value and the second value.