简介概要

Precise point positioning and its application in mining deformation monitoring

来源期刊:中国有色金属学报(英文版)2011年第z3期

论文作者:Xu Chang-hui Wang Jin-ling Gao Jing-xiang Wang Jian Hu Hong

文章页码:499 - 505

Key words:precise point positioning; deformation monitoring; outlier identification; geometry; multipath

Abstract: Precise point positioning (PPP)-based deformation monitoring scheme is presented for the use in mining deformation monitoring. Within the solutions of daily observation, outliers are detected and removed to avoid any potential misinterpretation of the results and then the deformation can be extracted by the coordinate differences between the two consecutive solutions. Meanwhile, because of the special location of a rover station in mining areas, the satellite geometry may be insufficient for a reasonable PPP solution, and the multipath impact an also be significant. Therefore, it is necessary to predict the satellite geometry before any daily observation. To evaluate the ability of extracting the deformation using the PPP-based method, various quality measures were introduced. The results of three datasets of the same station show that the precision of deformation monitored by PPP can reach up to cm level and even mm level.

详情信息展示

Precise point positioning and its application in mining deformation monitoring

Xu Chang-hui1, 2, Wang Jin-ling2, Gao Jing-xiang1, Wang Jian1, Hu Hong1

(1. School of Environment and Spatial Information, China University of Mining and Technology, Xuzhou 22116, China;
2. School of Surveying and Spatial Information Systems, University of New South Wales, Sydney 2052, Australia)

Abstract:Precise point positioning (PPP)-based deformation monitoring scheme is presented for the use in mining deformation monitoring. Within the solutions of daily observation, outliers are detected and removed to avoid any potential misinterpretation of the results and then the deformation can be extracted by the coordinate differences between the two consecutive solutions. Meanwhile, because of the special location of a rover station in mining areas, the satellite geometry may be insufficient for a reasonable PPP solution, and the multipath impact an also be significant. Therefore, it is necessary to predict the satellite geometry before any daily observation. To evaluate the ability of extracting the deformation using the PPP-based method, various quality measures were introduced. The results of three datasets of the same station show that the precision of deformation monitored by PPP can reach up to cm level and even mm level.

Key words:precise point positioning; deformation monitoring; outlier identification; geometry; multipath

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