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作 者:陈鹏辉 王玉杰 陈辉[1] 李建华 袁川前 杨春 CHEN Penghui;WANG Yujie;CHEN Hui;LI Jianhua;YUAN Chuanqian;YANG Chun(Xinjiang Jinbao Mining Co.,Ltd.;School of Resources and Safety Engineering,Central South University;Research Center of Mining Engineering Technology in High Altitude Cold Region,Central South University)
机构地区:[1]新疆金宝矿业有限责任公司,新疆维吾尔自治区阿勒泰836500 [2]中南大学资源与安全工程学院 [3]中南大学高海拔寒区采矿工程技术研究中心
出 处:《现代矿业》2025年第2期149-151,157,共4页Modern Mining
摘 要:为提高边坡预警效率,以新疆金宝露天矿南帮边坡为研究背景,针对其岩体破碎、冻融作用显著、边坡稳定性较差等特点,引入AI视频系统监测边坡表面位移,来实现对矿山边坡隐患区域的非接触性远程可视化、数据化监管。分析和研究了AI视频监测系统的基本组成、设备参数、布点方案、监测周期等,提出监测频率和变形预警阈值。在实际应用中,系统成功预警了南帮深部小滑坡事故,表明该系统能够快速、高精度地监测和预警边坡灾害,有效提升露天矿区边坡灾害预警效率,对其他露天矿区边坡灾害防范具有借鉴和指导意义。In order to improve the early warning efficiency of slope,based on the research background of the south side slope of Jinbao open-pit mine in Xinjiang,AI video system is introduced to monitor the sur-face displacement of slope in view of its characteristics such as rock fragmentation,significant freeze-thaw effects and poor slope stability,so as to realize non-contact remote visualization and data-based supervision of hidden areas of mine slope.The basic composition,equipment parameters,layout scheme and monitoring period of AI video monitoring system are analyzed and studied,and the monitoring frequency and deforma-tion warning threshold are proposed.In practical application,the system has successfully warned the south deep small landslide accident,indicating that the system can quickly and high-precision monitoring and warning slope disaster,effectively improve the efficiency of slope disaster warning in other open-pit mining area,and has reference and guiding significance for slope disaster prevention in open pit mining area.
分 类 号:TD854.6[矿业工程—金属矿开采] TP18[矿业工程—矿山开采] TN948.6[自动化与计算机技术—控制理论与控制工程]
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