Optimization of meteorological correction formula of total station

To improve the long-distance measurement accuracy of the total station, an optimization method for the meteorological correction formula is proposed. Analysis revealed the potential for optimizing this formula. Adjusting the formula coefficients was approached as an optimization problem to minimize residual errors. Environmental parameter sensors recorded real-time data along a long baseline during continuous ranging. This data was then used to construct optimization functions. Various combinations of formula coefficients were optimized and validated. The mean ranging error was reduced by 99.8 %, and the standard deviation of the error decreased by 81.2 %. To verify the method, the optimized coefficients were applied to other measurement periods, resulting in a residual error reduction of over 37 %. The study demonstrates that optimizing the meteorological correction formula coefficients is a highly effective and promising method for significantly reducing field ranging errors.

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Publication Details

Journal
Measurement Sensors
Published
2024-12-28
DOI
https://doi.org/10.1016/j.measen.2024.101518
Primary Topic
Geodetic Measurements and Engineering Structures
Type
article
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article

Optimization of meteorological correction formula of total station

Jiaxin Cai, Jianshuang Li, Yang Liu, Yan Yao et al.
Measurement Sensors
Geodetic Measurements and Engineering Structures
article

Optimization of meteorological correction formula of total station

Jiaxin Cai, Jianshuang Li, Yang Liu, Yan Yao, Deli Wang, Dong-qing Miao, Xiaodong Liu
article en

Abstract

To improve the long-distance measurement accuracy of the total station, an optimization method for the meteorological correction formula is proposed. Analysis revealed the potential for optimizing this formula. Adjusting the formula coefficients was approached as an optimization problem to minimize residual errors. Environmental parameter sensors recorded real-time data along a long baseline during continuous ranging. This data was then used to construct optimization functions. Various combinations of formula coefficients were optimized and validated. The mean ranging error was reduced by 99.8 %, and the standard deviation of the error decreased by 81.2 %. To verify the method, the optimized coefficients were applied to other measurement periods, resulting in a residual error reduction of over 37 %. The study demonstrates that optimizing the meteorological correction formula coefficients is a highly effective and promising method for significantly reducing field ranging errors.

Measurement SensorsVol. 38
National Institute of Metrology (CN), China Jiliang University (CN)
Climate action
Openalex Percentile: Top 72%
Geodetic Measurements and Engineering Structures
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Optimization of meteorological correction formula of total station — Jiaxin Cai, Jianshuang Li, et al. · Measurement Sensors (2024) | TGRS Research Map | TGRS