摘要
穿孔爆破是露天矿生产的重要环节,其施工质量与效率直接影响着矿山企业的时间成本与经济成本。以神华准能哈尔乌素露天煤矿穿爆环节为研究背景。采用无人机航测与正射影像技术技术,基于模糊数学会图像灰度值识别理论,对炮孔的布孔位置与钻孔位置进行了偏差分析,并利用孔口岩粉堆体积反演钻孔深度。现场应用表明,有83.4%的钻孔其布孔点与钻孔点的误差主要集中在0~1.50m。通过现场实测孔深与反演孔深进行对比,其误差在0.05~0.43m,解决了以往现场采用卷尺测量孔深费时费力的问题。
Perforation blasting is an important part of open-pit mine production,and its construction quality and efficiency directly affect the time and economic cost of mining enterprises.The research background of this paper is the perforation of Haerwusu open-pit Coal Mine.By using UAV aerial survey and orthophoto image technology,and based on the gray value recognition theory of fuzzy mathematics association image,the deviation analysis of hole placement and hole drilling position was carried out,and the hole depth was inverted by volume of rock powder pile in blast hole.Field application shows that for 83.4%of the gun holes,the error between design and drill point is mainly 0~1.50 m.By comparing the measured hole depth with the inversion hole depth,the error is 0.05~0.43 m,which solves the problem of time-consuming and laboriously hole depth measurement using tape in the field.
作者
杨国华
YANG Guo-hua(Haerwusu Open-pit Coal Mine,China Shenhua Energy Co.,Ltd.,Ordos 017100,China)
出处
《煤炭工程》
北大核心
2020年第S02期38-42,共5页
Coal Engineering
关键词
露天煤矿
无人机
模糊识别
孔位偏差
open-pit mine
UAV
fuzzy recognition
deviation of hole
