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金属矿山 ›› 2015, Vol. 44 ›› Issue (09): 126-130.

• 机电与自动化 • 上一篇    下一篇

海州露天煤矿边坡变形监测系统

李胜|邬珂瑞|韩永亮|齐嘉义   

  1. 辽宁工程技术大学矿业学院,辽宁 阜新 123000
  • 出版日期:2015-09-15 发布日期:2015-11-20
  • 基金资助:

    * 辽宁省高等学校优秀人才支持计划项目(编号:LJQ2011029),国家自然科学基金项目(编号:51004063)。

Slope Deformation Monitoring System of Haizhou Open-pit Mine

Li Sheng,Wu Kerui,Han Yongliang,Qi Jiayi   

  1. College of Mines,Liaoning Technical University,Fuxin 123000,China
  • Online:2015-09-15 Published:2015-11-20

摘要: 为及时掌握露天矿边坡变形规律,基于GPS监测技术、网络通讯技术和计算机等技术,建立了一套实时动态反映边坡变形的自动化监测系统。系统采用高精度GPS获取监测点的三维坐标,利用GPRS通讯模块将数据打包发送至计算机,并通过软件处理自行解算成图,实现边坡变形的自动化监测。以海州露天矿北帮为监测对象,经过一段时间的监测,监测结果表明:边坡平均水平位移变形为52.6 mm,平均垂直位移变形为17.3 mm,平均水平位移速率为0.33 mm/d,平均垂直位移速率为0.11 mm/d。边坡变形监测系统的构建实现了边坡变形的高精度、自动化监测,为灾害的动态预警和安全决策的及时制定提供了有效的技术支持。

关键词: GPS, 边坡稳定, 自动化监测, 边坡变形监测系统

Abstract: In order to grasp the deformation regularity of open-pit slope in time,a set of real-time dynamic to reflect the auto-monitoring system of slope deformation was established based on the GPS (Global Positioning System) monitoring technology,network communication technology and computer technology,etc.The system adopts high precision GPS to obtain the 3D(3 Dimensions) coordinates of the monitoring points,and then uses GPRS(General Packet Radio Service) communication module to send data package to the computer.The data can be calculated into image data processing software to realize the automation of the slope deformation monitoring.Taking the North Haizhou open-pit as the object of monitoring,the monitoring results show that after a period of monitoring,the average slope horizontal displacement deformation is 52.6 mm,the average slope vertical displacement deformation is 17.3 mm,the average horizontal displacement rate was 0.33 mm/d,the average vertical displacement rate was 0.11 mm/d.The Construction of slope deformation monitoring system has achieved high precision and auto-monitoring,thus providing effective technical support for dynamic disaster warning and timely making safety decisions.

Key words: GPS, Slope stability, Auto-monitoring, Slope deformation monitoring system