Optimizing data reliability and constructing a fusion monitoring system using static level and GNSS measurements

Yuhang Pan; Zhi Ma; Jing Chen; Peng Wu

doi:10.1117/12.3025600

8 April 2024 Optimizing data reliability and constructing a fusion monitoring system using static level and GNSS measurements

Yuhang Pan, Zhi Ma, Jing Chen, Peng Wu

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130902T (2024) https://doi.org/10.1117/12.3025600
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

The accuracy of foundation settlement monitoring is affected by many factors. To reduce the influence of the change of datum points in the later period, this paper proposes a multi-sensor data fusion technology based on static level and GNSS for ground settlement monitoring and designs several datum points to find out the more stable datum points through the limit difference test method based on the average gap method. Furthermore, the elevation correction of settlement monitoring points monitored by static level is conducted based on the collected elevation changes of datum points. Additionally, methods to reduce errors according to the source of errors are proposed. This technology is applicable to complex areas such as mountainous areas and tunnels.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuhang Pan, Zhi Ma, Jing Chen, and Peng Wu "Optimizing data reliability and constructing a fusion monitoring system using static level and GNSS measurements", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130902T (8 April 2024); https://doi.org/10.1117/12.3025600

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