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| Optimization of Meteorological Correction Formula of Total Station |
| LIU Xiaodong1,MIAO Dongjing2,YAO Yan1,WANG Changyun3,WANG Deli2, LI Lianfu2,LIU Yang2,CAI Jinhui1,LI Jianshuang2 |
1. Collage of Metrology ＆ Measurement Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
2. National Institute of Metrology, Beijing 100029, China
3. Weifang Metrology and Testing Institute, Weifang, Shandong 261061, China |
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Abstract To improve the long-distance distance measurement accuracy of the total station, an optimization method for the meteorological correction formula of the total station is proposed. After analyzing the meteorological correction formula, it was found that there is some error and there is room for optimization. In order to reduce the residual error caused by the correction formula and minimize the sum of residual errors as the optimization objective, the adjustment of meteorological formula coefficients is transformed into an optimization problem. By utilizing a dense array of environmental parameter sensors deployed on the long baseline in the field, real-time recording of environmental parameters during long-term continuous ranging of the total station is carried out for easy retrieval; Using ranging data to construct optimization functions, different combinations of meteorological transformation formula coefficients are optimized, adjusted and validated. The experimental data analysis results show that after optimization, the mean ranging error can be reduced by 99.8%, and the standard deviation of error can be reduced by 81.2%; To verify the effectiveness of the proposed method, the optimized coefficient correction formula is applied to distance compensation in other measurement time periods. The results show that the residual error is also effectively reduced, with an optimization amplitude of over 37%. The optimization of meteorological correction formula coefficients is an effective method to significantly reduce field ranging errors.
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Received: 18 September 2023
Published: 25 March 2024
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2024, Vol. 45 
