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Investigation into the Implementation of Sensor-based Ore Sorting Systems at a Block Caving Operation

机译:砌块崩落操作中的传感器对矿石分类系统的实施研究

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A cave-to-mill study being conducted at the New Afton block caving operation demonstrated the potential for sensor-based ore sorting equipment to reject waste and improve the grade of feed to the mill. The lack of selectivity and potential for dilution entry associated with the block cave mining method results in many caving operations having to mine and process material that is below cut-off grade at certain stages of production. Online monitoring and bulk sorting systems have the potential to alleviate this problem and improve the productivity of caving operations while reducing energy and water requirements for each tonne of concentrate produced.As part of the cave-to-mill study, the suitability of a range of sensors, such as X-ray fluorescence and induction-type sensors, to sort mine production at the New Afton mine was investigated. Results showed that the discrimination of ore and waste can potentially be carried out by implementing surficial sensors into the material handling system. The study also showed that a combination of sensor outputs could be used to identify a certain ore type so that pre-emptive changes can be made in the mill to improve beneficiation performance. Overall, the outcomes of the study on implementing sensor systems at block cave mines are considered to be of significant relevance to a number of existing and future caving operations.
机译:在新的AFTON块崩落操作中进行的洞穴到磨坊研究表明了基于传感器的矿石分类设备的可能性,以拒绝浪费并改善进料的饲料等级。与块洞穴采矿方法相关的稀释进入缺乏选择性和潜力导致许多具有矿井和工艺材料的凹陷操作,其在一定阶段的截止级低于生产阶段。在线监测和批量分拣系统有可能降低这一问题,并提高洞穴操作的生产率,同时降低每吨浓缩物的能量和水需求所产生的.A的洞穴到研磨研究,适用于一系列的适用性调查了传感器,如X射线荧光和感应式传感器,以在新的Afton Mine排序矿井生产。结果表明,矿石和废物的辨别可能是可能通过在材料处理系统中实施表层传感器来进行的。该研究还表明,传感器输出的组合可用于识别某种矿石类型,从而可以在研磨机中进行预先更换以改善受益性能。总体而言,在块洞穴矿山实施传感器系统的研究结果被认为与许多现有和未来的洞穴操作具有重要相关性。

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