Magnetostrictive Sensor Calibration via Wave Speed Segmentation
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Solution Overview
Problem
Magnetostrictive displacement sensors face challenges in measurement accuracy due to differences in mechanical wave transmission speeds along the waveguide wire, which are affected by factors like temperature, wire tension, and long-term loading of high-current interrogation pulses.
Innovation Solution
The proposed solution involves segmenting the range of the magnetostrictive displacement sensor into sub-ranges, obtaining the start and end moments of each sub-range, and calculating the calibration speed for each sub-range based on its displacement length and time moments. This calibration speed is then used to accurately calculate the displacement, thereby improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the magnetostrictive displacement sensor uses a uniform wave speed for the entire measurement range, then the device structure and calculation method are simple, but the measurement accuracy deteriorates due to wave speed variations in different sections
Solution Approach 1:
The measurement range of the magnetostrictive displacement sensor is divided into multiple sub-ranges, and a separate calibration speed is determined for each sub-range. This segmentation allows the system to account for wave speed variations in different sections of the waveguide wire, thereby improving measurement accuracy without requiring a completely complex redesign of the entire system.
Solution Approach 2:
Different calibration speeds are assigned to different sub-ranges of the measurement range, reflecting the local variations in wave propagation characteristics. This local quality approach ensures that each section is measured with the appropriate speed parameter, improving overall measurement precision while maintaining reasonable system complexity.
2Length of moving object
If the sensor measures displacement over a large range, then the measurement coverage is comprehensive, but the measurement accuracy deteriorates due to cumulative wave speed differences across the entire range
Solution Approach 1:
The large measurement range is segmented into multiple smaller sub-ranges, each with its own calibrated speed parameter. This segmentation prevents the cumulative effect of wave speed variations from degrading accuracy across the entire range, as each segment is measured with locally accurate speed data.
Solution Approach 2:
The calibration process is performed in advance to determine the specific wave speed for each sub-range before actual measurement. This preliminary action stores the calibration speeds for later use, allowing the system to maintain high measurement accuracy across the full range without real-time complexity.
3Ease of operation
If environmental factors such as temperature and wire tension are not compensated, then the system operation is simple, but the measurement accuracy deteriorates due to wave speed changes caused by these factors
Solution Approach 1:
The calibration process is performed in advance under various environmental conditions to capture the wave speed variations. The calibration speeds determined through this preliminary action are stored and used during actual measurement, compensating for environmental factors without adding complexity to the real-time operation.
Solution Approach 2:
The system uses the waveguide wire itself to perform the calibration by measuring the time for mechanical waves to traverse known distances. This self-service approach determines calibration speeds without requiring external equipment or complex environmental sensing, maintaining operational simplicity while improving accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
By calibrating the speed of each sub-range, the method enhances the measurement accuracy of magnetostrictive displacement sensors, reducing the impact of environmental and operational factors on the sensor's performance.
Implementation Method 1
magnetostrictive displacement sensor
Data Source
AI summary
The present application provides a magnetostrictive displacement sensor calibration method, system, device and storage medium. The method obtains all sub-ranges after a range of the magnetostrictive displacement sensor is segmented, and a start moment and an end moment of each sub-range to obtain a time region of each sub-range; and calculates to obtain a calibration speed of the target sub-range based on a target start moment, a target end moment and a target sub-range of the target time region; and then determines a target time region of a current moment, and can calculate a first displacement on the target sub-range based on the calibration speed, the current moment and the target start moment; and accumulates the first displacement with all sub-ranges before the target sub-range to obtain a displacement of the current moment. By segment, the calibration speed of each segment can be obtained, thereby improving measurement accuracy.