Adaptive Frequency Sweep Sensing System for Multi-Point Sensor Calibration
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Solution Overview
Problem
Multi-point sensors exhibit varying response frequencies due to manufacturing processes and environmental factors, affecting measurement accuracy across different applications.
Innovation Solution
A sensing system comprising a signal source, connecting device, frequency sweep circuit, and controller that generates specific signals and executes adaptive algorithms to construct a correspondence between eigenvalues and frequency bands, reducing the impact of these variations by adjusting frequency bands adaptively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-point sensors are used in various applications, then measurement coverage and functionality are improved, but response frequency variation due to manufacturing and environmental factors increases
Solution Approach 1:
The system dynamically adjusts the frequency band parameters of the frequency sweep signal based on the specific multi-point sensor being measured. By changing the frequency band parameter to match the sensor's characteristics, the system compensates for manufacturing variations and environmental factors, maintaining measurement precision across different sensor types and conditions
Solution Approach 2:
The system employs a feedback mechanism where the controller receives sensor signals, processes them through adaptive algorithms, and uses the results to refine future measurements. This feedback loop allows the system to learn from each measurement and adjust subsequent frequency band selections to optimize accuracy for each specific sensor
2Device complexity
If frequency band of frequency sweep signal is fixed, then system simplicity is maintained, but ability to adapt to different sensor types and conditions is reduced
Solution Approach 1:
The frequency band of the frequency sweep signal is made dynamic rather than fixed. The controller automatically adjusts the frequency band based on the specific multi-point sensor being measured, allowing the system to adapt to different sensor types, manufacturing variations, and environmental conditions while maintaining relatively simple system architecture
Data Source
AI summary
A sensing system and a sensing signal measuring method thereof are provided. The sensing system includes a signal source, a connecting device, a frequency sweep circuit, and a controller. In the method, the signal source is activated to generate a specific signal. The controller controls the frequency sweep circuit to switch a frequency band of a frequency sweep signal to a first frequency band corresponding to each of a plurality of types of multi-point sensors. The controller receives a sensor signal of each multi-point sensor through the connecting device, where the sensor signal is a variation of a measurement signal output by each multi-point sensor in response to the specific signal and the frequency sweep signal. The controller executes an adaptive algorithm on the sensor signal to construct a correspondence between an eigenvalue of each multi-point sensor and a location of the first frequency band, and records the correspondence.