摘要
露天开采过程中,根据已知岩层特征信息,预测待穿孔位置的矿岩层岩性分布特征,有利于适时动态调整穿孔钻机的钻速及钻压,提高露天矿山穿孔速度。以勒让德多项式为基础,结合概率密度多项式函数逼近法和最小二乘法,建立了露天矿钻孔岩性特征预测模型和计算方法,并根据某铅锌矿的勘探钻孔信息,对预测模型进行了验证。结果表明:建立的钻孔岩性分布特征预测模型能够根据已知的钻孔岩层特征信息,预测出两个钻孔之间任意位置的岩性分布特征,预测结果的最大误差为3.12%,精度能够满足露天矿山穿孔作业对岩性分布特征预测的需要;建立的预测模型对于层状分布的岩层有更强的适用性。
Based on the known rock stratum characteristic information,predicting the rock stratum lithology distribution characteristics of the position to be drilled,which is conducive to timely and dynamically adjust the drilling speed and the bit pressure of the perforation rig and improve the perforation speed in the process of open-pit mining.On the basis of Legendre polynomial,combined with the probability sensity polynomial function approximation method and the least square method,the prediction model and calculation method of borehole lithology distribution characteristics in open-pit mine are established and verified by the exploration boreholes information of a certain lead-zinc mine.The results show that the established prediction model on borehole lithology distribution characteristics can predict the lithology distribution characteristics at any position between two boreholes according to the known borehole rock stratum distribution characteristic information.The maximum error of the prediction result is at 3.124%,and the accuracy can meet the needs of the prediction of rock distribution characteristics in the perforation operation of an open-pit mine.The established prediction model has stronger adaptability to layer rock formations.
作者
王权铭
杨宇江
路增祥
马驰
曹朋
WANG Quanming;YANG Yujiang;LU Zengxiang;MA Chi;CAO Peng(School of Mining Engineering,University of Science and Technology Liaoning,Anshan 114051,China;Engineering Research Center of Green Mining of Metal Mineral Resources Liaoning Province,Anshan 114051,China;School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China)
出处
《金属矿山》
CAS
北大核心
2022年第3期65-70,共6页
Metal Mine
基金
国家自然科学基金项目(编号:51774176)。
关键词
露天开采
勒让德多项式
岩性分布特征
预测模型
穿孔效率
open-pit mining
Legendre polynomial
lithology distribution characteristics
prediction model
drilling efficiency
作者简介
王权铭(1996—),男,硕士研究生;通信作者:路增祥(1965—),男,教授,博士,硕士研究生导师。
