摘要
The advancement of intelligent mining in open-pit operations has imposed higher demands on geological transparency,aiming to provide a robust foundation for intelligent drilling and charging.In this study,a linear array of 120 nodal seismometers was deployed along the surfaces of the C8 and C9 platforms at Fenghuang Mountain to investigate cavities within the rock mass and prevent improper intelligent charging.The seismometers were 1 m apart along measurement lines,with a 2-m spacing between lines,and the monitoring time for each line was set at 2 h.This deployment was paired with spatial autocorrelation and station autocorrelation to analyze ambient noise seismic data and image the velocity and structure within the rock mass.The results demonstrate that the locations and sizes of cavities or loose structures can be accurately identifi ed at the prepared excavation site.Compared with traditional geological exploration methods for openpit mines,the approach in this study off ers higher accuracy,greater effi ciency,reduced labor intensity,and insensitivity to water conditions.Ambient noise seismic imaging for detecting adverse geological conditions in open-pit mines provides critical insights and references for intelligent mining advancements.
露天矿山智能化安全开采,对地质透明提出了更高的要求,其目的是对智能钻孔和智能装药提供设计和施工依据,防止过多装药引发的爆破安全事故。在本研究中,为了探明露天爆破采场岩体内的空腔,以防止智能化装药不合理,沿凤凰山C8和C9平台表面,分别布设4条线性阵列,每条测线120台节点式地震仪,台站的点间距为1 m,测线线间距为2 m,每条测线监测时间约为2小时,联合空间自相关法(SPAC)和台站自相关法分析背景噪声数据,并对采场岩体进行速度成像和结构成像。研究结果表明,在待开挖的采场内,该方法可以精准探明空腔或松散结构的位置和尺寸。与传统的露天矿山不良地质探测方法相比,本研究中的方法精度高、效率快、劳动强度低,尤其是不受赋水条件的影响。基于环境噪声成像探测露天矿山不良地质,为矿山智能化开采提供重要的参考和依据。
基金
National science and technology signifi cant special(No.2024ZD1003406)
Natural Science Research Project of Colleges and Universities in Anhui Province(No.2024AH050374)
National Natural Science Foundation of China(Grant No.52274071).
