Newton Fund - SAG Mill Optimisation and Innovative Instrumentation Development

牛顿基金 - SAG 磨机优化和创新仪器开发

• 批准号: 102628
• 金额: $ 7.58万
• 依托单位: INTELLISENSE.IO LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=102628
• 关键词: Newton; Fund; SAG; Mill; Optimisation

This experimental demonstration will be conducted at one of the world’s largest grinding mills operated byMinera Centinela. It will demonstrate the feasibility of applying modern computing and simulation technologiesto create a process model that can be used to optimise operations. A robust environmentally friendly wirelessinstrument, which can accurately predict charge in real time in high granularity, will be demonstrated. Tosustain current levels of copper production Chile must overcome a number of challenges; increasing energycosts; declining ore grades; increased throughputs; harder, more variable and complex ore types. This projectwill show how geometallurgical information can be used to predict the properties of the SAG Mill feed and,dynamically model operational performance to provide optimal set point recommendations for energyoptimisation. The model will also monitor wear rates to produce a predictive maintenance schedule therebyminimising costly unplanned shutdowns.

该实验演示将在世界上最大的磨矿厂之一进行，该磨矿厂由minera Centinela运营。它将展示应用现代计算和仿真技术来创建可用于优化操作的过程模型的可行性。将展示一种强大的环保无线仪器，它可以准确地实时预测高粒度的电荷。为了维持目前的铜产量水平，智利必须克服一系列挑战；增加energycosts;矿石品位下降；增加吞吐量;更硬、更多变、更复杂的矿石类型。该项目将展示如何使用地质冶金信息来预测SAG磨料的性能，并动态建模操作性能，为能源优化提供最佳设定值建议。该模型还可以监测磨损率，从而产生预测性维护计划，从而最大限度地减少昂贵的计划外停机。