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Challenges
Cases
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Optimisation of
AG mills control
Objectives: stabilise ore feed and increase grinding throughput
Irregular ore
Large number of unmeasurable parameters
Throughput losses
Operator cannot select optimal settings for mill control manually
Increased lining wear and higher energy cost per ton
Impact on flotation is not taken into account while operating mill
AI powered Grinding Process Control
Solution
Automatically find optimal mill control setpoints based on prediction
Predicts mill performance up to 15 minutes in advance
Adjust setpoints every 10 seconds while in automatic mode
All cases
Results
-2%
reduced
energy cost per ton
+2.9%
Increase in throughput
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Industrial AI for metals & mining
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