Multi-element Sensor Segmentation for Precision and Fault Tolerance
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Solution Overview
Problem
Conventional sensors face limitations in range and sensitivity, often requiring trade-offs between signal-to-noise ratio, size, and fault tolerance, and can be prone to anomalies or failure, especially when measuring environmental attributes like magnetic or electromagnetic fields.
Innovation Solution
A multi-element sensor system comprising first and second sensing elements, which can be identical or different, configured to provide redundant and comparative measurements, with a control circuit to combine signals and ensure fault tolerance, improved sensitivity, and reduced noise, allowing for accurate and consistent environmental attribute detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single sensor is used to measure environmental attributes, then the device complexity is low, but the measurement precision and reliability are limited due to tradeoffs between range and sensitivity
Solution Approach 1:
The sensor system is divided into multiple sensing elements (first sensing element, second sensing element) with different sensitivities or ranges. Each element independently measures the environmental attribute, and their outputs are combined to achieve both high precision and extended range without requiring a single complex sensor.
Solution Approach 2:
The outputs from multiple sensing elements with different characteristics are merged or combined through a control circuit. This combination allows the system to leverage the strengths of each sensing element (high sensitivity of one, wide range of another) to achieve both high measurement precision and extended operational range.
2Measurement precision
If two sensors with different sensitivities are used to mitigate range-sensitivity tradeoffs, then the measurement precision is improved, but the device complexity increases and confusion arises about which sensed value is more representative
Solution Approach 1:
The control circuit receives outputs from both sensing elements and implements a selection or combination strategy based on feedback from the measurements. The system determines which sensing element's output is more representative of the true environmental attribute based on predefined criteria, resolving the confusion about which value to trust.
Solution Approach 2:
The system changes the operational parameters by selecting different sensing elements based on the measurement conditions. When the environmental attribute falls within a certain range, one sensing element is prioritized; when it exceeds that range, the other sensing element becomes more representative. This dynamic parameter selection resolves the representativeness confusion.
3Reliability
If multiple sensing elements are used to improve signal-to-noise ratio and fault tolerance, then the reliability is improved, but the device complexity and physical size increase
Solution Approach 1:
The sensing function is segmented across multiple independent sensing elements rather than relying on a single complex sensor. This segmentation provides redundancy (improving reliability and fault tolerance) while keeping each individual sensing element relatively simple in structure.
Data Source
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AI summary
A multi-element sensor (99) includes a substrate (10) having a surface (12). A first sensing element (20) for sensing an environmental attribute is disposed on or over the substrate surface. A second sensing element (22) is disposed above the first sensing element (20) in a direction orthogonal to the substrate surface. The second sensing element senses the same environmental attribute. In one configuration, the first and second sensing elements sense the same environmental attribute at a location between the first and second sensing elements.