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Development of an early-warning time-of-failure analysis methodology for open-pit mine slopes utilizing ground-based slope stability radar monitoring data

机译:利用地面边坡稳定性雷达监测数据开发露天矿山边坡预警时间分析方法

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摘要

The recent introduction of ground-based slope stability radar in open-pit mines to complement conventional geodetic monitoring programs provides near real-time deformation measurements over a broad coverage area; this allows geotechnical engineers to observe the spatial distribution of pit wall movements and their progression over time. This paper presents a newly proposed early warning time-of-failure (TOF) analysis procedure for use in real-time with ground-based radar measurements designed to be integrated in an open-pit mine's trigger action response plan (TARP). The inverse-velocity and slope gradient (SLO) TOF analysis methods are applied to radar displacement measurements using a new systematic multi-pixel selection technique termed the "percent deformation method." The utilization of the percent deformation method in the proposed real-time TOF analysis methodology gives more-reliable results than current practice by providing recommendations for pixel selections, data filtering, where and how to undertake TOF analyses, and presenting TOF results in real time. The addition of a more rigorous, methodical treatment of radar monitoring data when faced with critical slope instability will reduce uncertainty and increase confidence in any trigger action response decisions, helping to ensure a safer work environment.
机译:最近在露天矿中引入了地面倾斜稳定性雷达,以补充常规的大地测量程序,从而可以在广阔的覆盖范围内进行近实时的变形测量​​;这使岩土工程师可以观察井壁运动的空间分布及其随时间的变化。本文介绍了一种新提出的预警故障时间(TOF)分析程序,该程序可与基于地面的雷达测量实时结合使用,这些测量旨在集成到露天矿场的触发行动响应计划(TARP)中。逆速度和斜率(SLO)TOF分析方法使用一种称为“百分变形法”的新系统多像素选择技术应用于雷达位移测量。通过为像素选择,数据过滤,在何处以及如何进行TOF分析以及实时呈现TOF结果提供建议,所提出的实时TOF分析方法中使用百分比变形法比当前实践提供了更为可靠的结果。当面临严重的斜坡不稳定性时,对雷达监视数据进行更严格,有条理的处理将减少不确定性并增加对任何触发动作响应决策的信心,从而有助于确保更安全的工作环境。

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