基于智能岩性识别的炮孔装药量计算  

Blasting Charge Calculation based on Intelligent Lithology Identification

作　　者：陈应显[1] 周萌 CHEN Ying-xian;ZHOU Meng(School of Mining,Liaoning Technical University,Fuxin 123000,China)

机构地区：[1]辽宁工程技术大学矿业学院,阜新123000

出　　处：《爆破》2022年第4期92-99,共8页Blasting

基　　金：国家自然科学基金项目(51974144、51874160);辽宁工程技术大学学科创新团队资助项目(LNTU20TD-01)。

摘　　要：现今数字化和人工智能发展已经渗透到各行各业,在爆破行业中“数字爆破”的出现推动爆破朝着数字化、精细化、可视化发展。随着智能技术的发展,将智能技术应用于工程爆破领域成为发展趋势。为了提高爆破效果和降低爆破成本,提出一种新的计算炮孔装药量的方法。通过训练SVM模型预测地层并嵌入智能钻机系统,利用智能钻机精确定位与随钻机实时识别岩性参数技术,获得精确的炮孔岩性分布数据。建立炮孔数据库,存储和管理从智能钻机中获得的炮孔岩性分布数据,并对炮孔数据进行可视化显示,生成炮孔岩性二维、三维柱状图;对炮孔位置点集和爆破范围多边形按Delaunay准则进行三角面剖分,计算每个炮孔影响面积;根据炮孔的岩性分层和影响面积计算每个炮孔各岩层所需的装药量,对各岩层所需装药进行累加,得到每个炮孔所需的装药总量。使用C++编程实现了基于智能岩性识别的炮孔装药量计算,在内蒙古自治区锡林浩特某露天煤矿进行实际应用,实现了对该矿918平盘爆破区域炮孔装药量计算。Nowadays,the development of digitization and artificial intelligence has penetrated all walks of life.The emergence of"digital blasting"in the blasting industry promotes the development of blasting towards digitization,refinement and visualization.The application of intelligent technology in the field of engineering blasting have become a development trend.In order to improve blasting effect and reduce the blasting cost,a new method for calculating explosive charge is proposed.By training the SVM model to predict the strata and embedding the intelligent drilling rig system,the accurate positioning and real-time identification of lithologic parameters are obtained.A borehole database is established to store and manage the borehole lithology distribution data obtained from the intelligent drilling rig.These data can be visually displayed by generating two-dimensional and three-dimensional histograms.According to Delaunay′s criterion,the polygon of hole location and blasting range is triangulated,and the affected area of each hole is calculated.Then,according to the lithologic stratification and affected area of each hole,the charge quantity required by each rock layer of each hole is calculated,and the charge quantity required by each rock layer is accumulated to obtain the total charge quantity required by each hole.The charge calculation based on intelligent lithology identification is realized by C++programming,which has been applied in the 918 section of an open-pit coal mine in Xilinhot,Inner Mongolia.

关 键 词：数字爆破 装药量计算 炮孔装药 智能岩性识别 露天煤矿 

分 类 号：TD235[矿业工程—矿井建设]