Engineering & Mining Journal

AUG 2018

Engineering and Mining Journal - Whether the market is copper, gold, nickel, iron ore, lead/zinc, PGM, diamonds or other commodities, E&MJ takes the lead in projecting trends, following development and reporting on the most efficient operating pr

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AUGUST 2018 • E&MJ 97 www.e-mj.com PROCESSING SOLUTIONS Reduce shovel hang time Virtually eliminate re-spotting Equalize operator capability & performance www.modularmining.com Building tomorrow's technologies for today's mines GUIDED SPOTTING GET RIGHT TO THE SPOT UP TO 34 % INCREASE IN SHOVEL PRODUCTIVITY * *achieved at customer site of global copper production," said CSIRO Research Director Nick Cutmore. "The solution could also enable undeveloped, low-grade mines to be brought into produc- tion, so the economic benefi ts are huge." By illuminating batches of ore with short pulses of radio waves, magnetic resonance penetrates through copper ores, much like medical MRI "sees into" human bodies, to rapidly and accurately detect ore grade. According to a CSIRO report, it has an advantage over other ore-sorting analyz- ers that can often only go "skin deep" to detect mineral particles on the surface of ore, producing less reliable results. While productivity benefi ts vary de- pending on the characteristics of the orebody, the analyzer has the potential to more than double average ore grades once sorted, CSIRO claims. It could rep- resent as much as a 20% reduction in processing costs in some copper mines. In its fi rst year, NextOre will focus its efforts on engaging the South American and Canadian market. Kazakhstan Plans Mineral Processing Technology Initiative At the World Mining Congress held in Asta- na, Kazakhstan, that nation's Autonomous Cluster Fund (ACF), also known as the Tech Garden, highlighted the Center for Techno- logical Development-IntelliSense Lab. The center was founded by ACF in partnership with IntelliSense.io (UK) for development and implementation of "Industry 4.0" technologies oriented to the mining and metallurgical sector of Kazakhstan. During the congress, a memorandum of cooperation was signed between Intelli- Sense Lab and Kazakh gold producer JSC AK Altynalmas. The scope of cooperation includes devel- opment of an Artifi cial Intelligence (AI) sys- tem for predictive analysis and optimization of the grinding-unit process: predictions of the technological process of grinding in real time; prediction of lining deterioration inside mills; quality control of crushed ore and situational prediction of crushed prod- ucts; visualization of the grinding cycle in real time; and performance goals (KPIs). The AK Altynalmas project represents the fi rst major undertaking for IntelliSense Lab. Objectives of the effort include: • Development of platforms in the follow- ing areas: MMC, NGS, logistics, fuel and energy complex, machine building with involvement of domestic companies; • Incubation of products developed by startups and IT companies within the national Industry 4.0 platform; and • Training of specialists in methods of working with Industry 4.0 solutions. Technology partners in the initiative include chip maker ARM and OSI Soft, developers of the Pi scalable data man- agement system. NextOre's MRI-based ore sorting analyzer also can be applied to gold- and iron-bearing ores, according to the company.

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