DATA MINING
Big data in the future Over the next couple of decades , Knuth envisages machines will become more intelligent , which will tie in with Komatsu ’ s growth . “ Machines are going to continue getting smarter with more onboard computing ,” he says . “ At the same time , automation will continue to advance , allowing for the increased use of remote operation .
“ As we continue to grow and improve our ability to turn raw data into information and results , that will be the glue that helps bring together various autonomous projects and capabilities on a mine site , enabling coordinated remote operation and monitoring . This will help keep more people from harm ’ s way while optimising machine performance and mine coordination , to enhance safety and production capabilities .”
Morrison believes the advancement of data analytics will enable mining companies to become more aware of where the earth ’ s resources are , and differentiate between the minerals they need vet against the worthless gangue minerals they don ’ t .
“ This will save them a lot of time , and therefore a lot of money in trying to find them ,” she says . “ If they ’ re better able to characterise the minerals , that dramatically determines the economic value and viability of getting them out of the ground .”
“ We ’ re on the cusp of a huge change in mineralogy and mineral resources , and in the understanding the mineralogical makeup of our planet ,” Morrison adds . “ In the next 10 years , we ’ re going to see an explosion in this type of work .”
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