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2022 | OriginalPaper | Chapter

Study on Real-Time Monitoring of Landslide Deformation with RTKLIB

Authors : Xuqiao Wang, Yupei Wang, Shuangcheng Zhang, Yong He, Xinrui Li

Published in: China Satellite Navigation Conference (CSNC 2022) Proceedings

Publisher: Springer Nature Singapore

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Abstract

With the continuous advancement of the national comprehensive risk survey of natural disasters, universal GNSS equipment has been widely used in real-time three-dimensional deformation monitoring of geological disasters. In view of the open source RTKLIB software with GNSS data communication, data stream decoding, precision positioning and other functions, this paper takes RTKLIB for landslide real-time precision positioning as the research object, and builds a universal GNSS system architecture for landslide real-time monitoring. The main functions of the system are Conducted a comprehensive study. Combined with Guangxi Chongzuo expansive soil highway slope to conduct comprehensive experimental tests, analysis from GNSS data quality, precision positioning accuracy, system stability and other aspects. The experimental results show that the availability of RTKLIB real-time data stream is 70% under good observation conditions for universal GNSS equipment; the multi-path MP1 value is about 0.3 m; when only GPS satellite systems are used, the fixed solution of real-time positioning is successful The rate can reach 83%, the real-time monitoring accuracy of RTKLIB software in the horizontal direction is better than 10 mm, and the real-time monitoring accuracy in the elevation direction is better than 20 mm. After joining the BDS satellite system, the fixed solution success rate of real-time positioning can be increased to 96%, the accuracy of the horizontal direction is increased to 5 mm, and the accuracy of the elevation direction is increased to within 10 mm. Based on universal GNSS equipment and relying on open source RTKLIB software for upgrade research and development, it can be efficiently used for geological disaster deformation monitoring and early warning.

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Metadata
Title
Study on Real-Time Monitoring of Landslide Deformation with RTKLIB
Authors
Xuqiao Wang
Yupei Wang
Shuangcheng Zhang
Yong He
Xinrui Li
Copyright Year
2022
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-2588-7_15