摘要
针对山区采煤的问题,国内外始终有学者进行相应研究,沉陷监测的手段也日益增多,但当边坡下方存在正在开采的工作面时,地表边坡的形变更加激烈,情况也更加复杂,传统的单点监测手段已经逐渐无法满足监测需要,在数据的获取、处理以及成果的实用性方面也存在着明显不足。三维激光扫描技术具有着非接触性、数据采集实时性、数据量大等优点,这些优点为山区采煤沉陷监测提供了一种新的全面可靠的数据获取方法。该文以苏村煤矿10201工作面开采地表沉陷影响的边坡为例,进行边坡监测实验,应用Riscan、Surfer等软件,对边坡点云进行处理研究,继而进行沉陷特征分析。同时,结合静态GPS测量和概率积分法论证三维激光扫描技术在采区上方边坡动态监测中应用的可行性。
In view of the problem of coal mining in mountainous areas,scholars have been doing corresponding research all the time,and the means of subsidence monitoring are also increasing day by day.However,when there is a working face under the slope that is being mined,the deformation of the surface slope will be more intense the situation is also more complex,the traditional means of single-point monitoring has gradually been unable to meet the monitoring needs,data acquisition,processing and the usefulness of results there are obvious deficiencies.Three-dimensional laser scanning technology has the advantages of non-contact,real-time data acquisition and large amount of data,which provides a new comprehensive and reliable data acquisition method for mining subsidence monitoring in mountain area.Taking the slope affected by surface subsidence in the working face of 10201 in Sucun coal mine as an example,this paper carried out the slope monitoring experiment,applied the software of Riscan and Surfer to deal with the point cloud of the slope,and analyzed the characteristics of the slope subsidence.At the same time,the probability integral method and GPS were used to demonstrate the feasibility of the application of three-dimensional laser scanning technology in the monitoring of the slope above the mining area.
作者
贾秉松
李亮
王瑞
董祥
孟宪营
JIA Bingsong;LI Liang;WANG Rui;DONG Xiang;MENG Xianying(School of Environment Science&Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu 221000,China;College of Applied Science,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China;Jizhong Energy Fengfeng Group Co.,Ltd.,Handan,Hebei 056011,China)
出处
《测绘科学》
CSCD
北大核心
2020年第12期88-94,共7页
Science of Surveying and Mapping
基金
江苏省自然科学基金项目(BK20190642)。
关键词
三维激光扫描
点云数据处理
边坡变形监测
three-dimensional laser scanning
point cloud data processing
slope deformation monitoring
