基于多传感器网的露天矿边坡形变监测  

Open pit slope deformation monitoring based on multiple-sensors

作　　者：任月龙[1,2] 李如仁[3] 张信 

机构地区：[1]中国矿业大学矿业工程学院,江苏徐州221116 [2]内蒙古大唐国际锡林浩特矿业有限公司,内蒙古锡林浩特026000 [3]辽宁工程技术大学时空分析与建模研究院,辽宁阜新123000

出　　处：《煤炭学报》2014年第5期868-873,共6页Journal of China Coal Society

基　　金：国家自然科学基金重点资助项目(51034005);教育部博士点基金资助项目(20100095110019);煤炭资源与安全开采国家重点实验室自主研究课题资助项目(SKLCRSM10X01)

摘　　要：基于测量机器人监测、GPS监测及地基微波雷达监测是当前形变监测的主流技术手段,然而现有的应用都没有将3者很好的结合,基于此提出了面向露天矿边坡变形的多传感器自动化监测系统,给出基于多传感器网的矿区形变监测的数据融合及系统方案。通过对多传感器网数据采集及数据融合与应用,可实现雷达数据与测量机器人、GPS数据的矿区形变监测的信息互补,提高监测的实用性。以内蒙古锡林浩特胜利煤田中东部的胜利东2号露天煤矿为例,设计并实现了多传感器网形变监测数据分析,结果表明,多传感器系统能够保证露天矿边坡监测数据在时间上的连续性、空间上的无缝性、结果上的可靠性,为边坡变形分析和预警预报提供了一种解决方案。Open pit slope deformation monitoring is an important topic in industrial mine work. Principal approaches such as robot, GPS and ground-based microwave radar are proposed but their integration keeps untouched so far. The integration of multiple sensors to realize automatic deformation monitoring system for open pit slope was proposed. The data fusion for multi-sensors and the systematic frame for the monitoring were illustrated. The proposed framework could benefit from the date complementary from the sensors and thus improved the effectiveness in slope monitoring. A case study was performed at the Shengli EastⅡ Open Pit Coal Mine. Radar data, robot data and GPS data were integrated through spatial registration of ground-based radar data. The results show that the multi-sensor system can continuous monitoring in time and space as well as high reliability in open pit mine slope deformation monitoring, providing a solution for slope deformation monitoring and forecasting.

关 键 词：多传感器 露天矿边坡 形变监测 

分 类 号：TD824[矿业工程—煤矿开采]