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Proceedings Paper

Automatic monitoring system for high-steep slope in open-pit mine based on GPS and data analysis
Author(s): Chunmei Zhou; Xianfu Li; Sunwei Qin; Dandan Qiu; Yanlin Wu; Yun Xiao; Jian Zhou
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Paper Abstract

Recently, GPS has been more and more applicative in open pit mine slope safety monitoring. Daye Iron Mine open pit high-steep slope automatic monitoring system mainly consists of three modules, namely, GPS data processing module, monitoring and warning module, emergency plans module. According to the rock mass structural feature and the side slope stability evaluation, it is arranged altogether to seven GPS distortion monitoring points on the sharp of Fault F9 at Daye iron Mine, adopted the combination of monofrequent static GPS receiver and data-transmission radio to carry on the observation, the data processing mainly uses three transect interpolation method to solve the questions of discontinuity and Effectiveness in the data succession. According to the displacement monitoring data from 1990 to 1996 of Daye Iron Mine East Open Pit Shizi mountain Landslide A2, researching the displacement criterion, rate criterion, acceleration criterion, creep curve tangent angle criterion etc of landslide failure, the result shows that the landslide A2 is the lapse type crag nature landslide whose movement in three phases, namely creep stage, accelerated phase, destruction stage. It is different of the failure criterion in different stages and different position that is at the rear, central, front margin of the landslide. It has important guiding significance to put forward the comprehensive failure criterion of seven new-settled monitoring points combining the slope deformation destruction and macroscopic evidence.

Paper Details

Date Published: 29 December 2008
PDF: 12 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854X (29 December 2008); doi: 10.1117/12.816082
Show Author Affiliations
Chunmei Zhou, Wuhan Institute of Technology (China)
Xianfu Li, Wuhan Institute of Technology (China)
Sunwei Qin, Wuhan Institute of Technology (China)
Dandan Qiu, Wuhan Institute of Technology (China)
Yanlin Wu, Wuhan Institute of Technology (China)
Yun Xiao, Wuhan Institute of Technology (China)
Jian Zhou, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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