基于决策树CHAID模型的切削钻机岩性识别预测

露天采矿技术

基于决策树CHAID模型的切削钻机岩性识别预测

出版日期:2016-06-15 发布日期:2016-06-08

Prediction on lithology identification of cutting drilling machine based on decision tree CHAID model

Online:2016-06-15 Published:2016-06-08

摘要/Abstract

摘要：

摘　要：为研究某露天矿LWD-200B型切削钻机自动钻进参数与岩石性质关系，在现场通过钻机钻进参数记录仪对与岩性相关的钻进参数实时采集，通过对钻进过程中的岩屑的观察分析确定不同岩石的性质与位置，运用Clementine软件的决策树CHAID模型对数据进行统计分析，对工作平台的岩层分布情况进行预测。

Abstract:

Abstract: In order to study the relationship between the automatic drilling parameters of LWD-200B type cutting drilling machine and rock properties in the open-pit mine, the mine collects the real-time data related to the lithology by drilling parameter recorder in the field, and identifies the nature and location of different rocks through observing and analyzing debris in the drilling process. Using decision tree CHAID model of Clementine software, the article carries out statistical analysis on drilling parameter, and predicts the rock distribution of work platform.

马传贤.

基于决策树CHAID模型的切削钻机岩性识别预测[J]. 露天采矿技术.

MA Chuanxian.

Prediction on lithology identification of cutting drilling machine based on decision tree CHAID model[J]. 露天采矿技术.