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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 35, Number 12(1) (2023)
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Notice of errata: [PDF]
pp. 3985-3996
S&M3463 Research Paper of Special Issue
https://doi.org/10.18494/SAM4575
Published: December 15, 2023

High-precision Elevation Sensor Based on Atmospheric Pressure [PDF]

Gou Jie, Zhu Hao, and Yang Huadong

(Received July 14, 2023; Accepted November 30, 2023)

Keywords: dynamic differential, barometric altimeter, moving average

The traditional method of calculating the height of a measurement point through atmospheric pressure and standard atmospheric models ignores the irregular changes in the atmosphere, resulting in significant errors. In this paper, a mathematical model for dynamic differential measurement is derived on the basis of the basic atmospheric pressure-height theoretical model. Then, a high-precision elevation sensor based on atmospheric pressure is developed using IoT technology, and a real-time dynamic differential measurement system is established. By establishing a ground reference station to dynamically calibrate the errors caused by atmospheric changes in real time, high-precision and highly reliable real-time elevations are obtained through calculation. The experiment shows that the average measurement error due to dynamic differences is less than 5 cm. At the same time, we also use the sliding average filtering method to effectively improve the real-time measurement accuracy while ensuring the constant measurement frequency. The measurement error is reduced from ± 15 to ± 5 cm, and the measurement results can be uploaded to a cloud platform in real time, with good engineering practicality.

Corresponding author: Yang Huadong


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Gou Jie, Zhu Hao, and Yang Huadong, High-precision Elevation Sensor Based on Atmospheric Pressure, Sens. Mater., Vol. 35, No. 12, 2023, p. 3985-3996.



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