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In one scenario , a metal mine used Industrial Internet of Things sensors , combined with a centralised data repository and advanced machine learning , to boost chemical recovery from the extraction process by 10-15 %. IIoT sensors provide real-time data on location , equipment health , remaining life and other useful parameters , which are updated in tracking software for management to view from anywhere .

One miner used sensors and machine learning to implement predictive maintenance in its fleet . The model was able to predict when components would fail , enabling an increase of more than 50 % in the lifetime of key components . It is clear that more mining companies are using machine learning , AI and advanced data analytics to solve business challenges in prediction , classification and optimisation .

54 September 2022