In hard rock mining, sensor-based sorting can be applied as a pre-concentration method before the material enters the mill. X-ray transmission sensors have been explored in mining since 1972. Sorting ore of acceptable grade and waste material before processing at the mill can reduce the amount of tailings per unit of valuable metal in the mining operation and have many economic benefits. Ore samples used in this paper are from a polymetallic carbonate replacement deposit (gold-silver-lead-zinc sulphide) in Southeast Europe. This paper focuses on how the Dual-Energy X-ray Transmission (DE-XRT) data is generated and used for ore characterization and sortability for this sulphide ore. The method used in the DE-XRT analysis in this project is based on the dual-material decomposition method, which is used in the medical industry for radiology. This technique can distinguish sulphides from non-sulphides. However, the correlation developed between the DE-XRT response and the metal content is lacking. As a result, the DE-XRT response can only classify the material effectively but cannot reliably predict the metal content.

中文翻译：

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使用双能X射线透射系统评估硫化矿矿石的可分性性

在硬岩采矿中，基于传感器的分选可以用作物料进入磨机之前的预浓缩方法。自1972年以来，X射线透射传感器就已经在采矿业中得到了探索。在工厂进行处理之前，对合格品位的矿石和废料进行分选可以减少采矿作业中每单位贵重金属的尾矿量，并具有许多经济效益。本文使用的矿石样品来自东南欧的多金属碳酸盐替代矿床（金-银-铅-锌硫化物）。本文重点介绍如何生成双能X射线传输（DE-XRT）数据，并将其用于该硫化矿的矿石表征和可分选性。该项目在DE-XRT分析中使用的方法基于双材料分解方法，该方法在医学行业用于放射学。该技术可以区分硫化物和非硫化物。但是，缺乏在DE-XRT响应与金属含量之间建立的相关性。结果，DE-XRT响应只能有效地对材料进行分类，而不能可靠地预测金属含量。