Blasting performance is influenced by mechanical and structural properties of the rock, on one side, and blast design parameters on the other. This paper describes a new methodology to assess rock mass quality from drill-monitoring data to guide blasting in open pit operations. Principal component analysis has been used to combine measurement while drilling (MWD) information from two drill rigs; corrections of the MWD parameters to minimize external influences other than the rock mass have been applied. First, a Structural factor has been developed to classify the rock condition in three classes (massive, fractured and heavily fractured). From it, a structural block model has been developed to simplify the recognition of rock classes. Video recording of the inner wall of 256 blastholes has been used to calibrate the results obtained. Secondly, a combined strength-grade factor has been obtained based on the analysis of the rock type description and strength properties from geology reports, assaying of drilling chips (ore/waste identification) and 3D unmanned aerial vehicle reconstructions of the post-blast bench face. Data from 302 blastholes, comprised of 26 blasts, have been used for this analysis. From the results, four categories have been identified: soft-waste, hard-waste, transition zone and hard-ore. The model determines zones of soft and hard waste rock (schisted sandstone and limestone, respectively), and hard ore zones (siderite rock type). Finally, the structural block model has been combined with the strength-grade factor in an overall rock factor. This factor, exclusively obtained from drill monitoring data, can provide an automatic assessment of rock structure, strength, and waste/ore identification.

爆破性能一方面受岩石的机械和结构特性的影响，另一方面受爆破设计参数的影响。本文介绍了一种从钻探监测数据评估岩石质量以指导露天开采爆破的新方法。主成分分析已被用于合并来自两个钻机的随钻测量（MWD）信息。为了减小除岩体以外的外部影响，已对MWD参数进行了校正。首先，已经开发出一种结构因子来将岩石状况分为三类（大块，裂缝和重裂缝）。据此，开发了结构块模型来简化对岩石类别的识别。256个爆破孔内壁的视频记录已用于校准获得的结果。第二，基于对岩石类型描述的分析和来自地质报告的强度特性，钻屑的分析（矿石/废物识别）和爆炸后工作台面的3D无人机重建，获得了综合的强度等级因子。此分析使用了来自302个爆炸孔的数据，其中包括26个爆炸。从结果中确定了四个类别：软废物，硬废物，过渡带和硬矿石。该模型确定了软，硬waste石区（分别为带卷砂岩和石灰岩）和硬矿石区（菱铁矿类型）。最后，结构块模型已与整体岩石因子中的强度等级因子结合在一起。仅从钻机监控数据中获得的这个因子可以自动评估岩石的结构，强度，