陈应显,周萌

• 1:辽宁工程技术大学矿业学院

摘要(Abstract)：

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。

关键词(KeyWords)： 数字爆破;装药量计算;炮孔装药;智能岩性识别;露天煤矿

Abstract:

Keywords:

基金项目(Foundation): 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)

作者(Author): 陈应显,周萌

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