摘要
变形监测是保障矿山边坡安全施工和管理的重要手段,分析及预测边坡的变化趋势具有重要的理论价值和现实意义。文中以广州越堡露天矿边坡为研究对象,依据所获得的监测点的有效监测数据,运用灰色理论方法构建预测模型对其进行分析及预测,研究结果表明:模型拟合结果最大相对误差为17%,最小为0,平均相对误差为7%左右,其精度达到二级(合格),具有良好的适用性和可信度,可以为越堡露天矿边坡稳定性分析及相关领域的研究提供参考。
Deformation monitoring was an important means to ensure the safe construction and management of mine slope. It had important theoretical value and practical significance to analyze and predict the change trend of slope. In this paper, the slope of Yuebao Open-pit Mine in Guangzhou was taken as the research object. According to the effective monitoring data of monitoring points obtained, a prediction model was established by using grey theory method to analyze and predict the slope. The results showed that the maximum relative error of the model fitting results was 17%, the minimum was 0, and the average relative error was about 7%, and its accuracy was about 7%. It had good applicability and reliability. It could provide reference for slope stability analysis of Yuebao Open-pit Mine and related research fields.
作者
解洪伟
虞列沛
Xie Hongwei;Yu Liepei(Surveying and Mapping Institute of Guangdong Non-ferrous Metals Geological Bureau,Guangzhou 510080,China;不详)
出处
《矿山测量》
2020年第2期9-12,共4页
Mine Surveying
基金
广东省有色金属地质局财政项目(粤财工[2015]632号)。
关键词
露天矿边坡
变形监测
灰色模型
预测分析
open pit slope
deformation monitoring
grey model
prediction analysis
