AI in mineral processing is no longer a future concept – it’s happening now. From predictive maintenance to generative reporting and agentic decision-making, this article breaks down what each AI type means for your plant. Whether you’re just starting your digital journey or looking to optimise operations, understanding these tools is key to staying competitive.
The Industrial Internet of Things (IIoT) has revolutionised the industrial landscape, creating a seamless web of interconnected devices. Imagine a mining operation where every machine
Leaching is a cornerstone of hydrometallurgical processing, particularly in copper and gold extraction. While the basic principle — using a solvent to dissolve valuable metals from ore — seems straightforward,
Over the past decade, automation has swept through control rooms, transforming mineral processing plants’ operations. Advanced process control (APC), machine learning algorithms, and digital twins are slowly becoming mainstream tools.
Leaching is a cornerstone of hydrometallurgical processing, particularly in copper and gold extraction. While the basic principle — using a solvent to dissolve valuable metals from ore — seems straightforward,
Over the past decade, automation has swept through control rooms, transforming mineral processing plants’ operations. Advanced process control (APC), machine learning algorithms, and digital twins are slowly becoming mainstream tools.
Excel: a lifeline or a liability? If you’ve spent any time in mineral processing, you’ve probably worked with Excel for process calculations. It’s flexible, familiar
Shrey Gotri is a Control Systems Engineer at Mipac. In his 10+ year career, he has worked through the full life cycle of projects, from
Managing tasks efficiently is crucial for mining operations, where productivity, safety, and compliance depend on seamless coordination between teams and shifts. Traditionally, sites have relied
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