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Evaluation of bulk and particle sensor-based sorting systems for the New Afton block caving operation

机译:基于批量和粒子传感器的排序系统评估新AFTON块塌陷操作

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摘要

Block and panel caving mines are increasingly being proposed for the excavation of massive ore-bodies located at depth. The lack of selectivity associated with the mining methods results in both ore and waste being caved and transported through material handling systems to the surface for processing and waste rock disposal. Sensor based sorting systems provide an opportunity to automate the discrimination between ore grades and rock types, providing an enhanced level of selectivity for ore control and thereby improving mine productivity.
机译:越来越多地提出块和面板塌陷矿井,以便在深度挖掘的挖掘。 与采矿方法相关的缺乏选择性导致矿石和废物都塌陷并通过材料处理系统运输到用于处理和废弃物岩石处理的表面。 基于传感器的分选系统提供了自动化矿石等级和岩石类型之间的辨别的机会,为矿石控制提供了增强的选择性水平,从而提高了矿井生产力。

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