Crushers typically suffer from high downtime, affecting both short and long term machine health and productivity. They also use a lot of energy.
Variations in feedstock (rock size and hardness as well as the distribution or ore) places high demands on both the crusher and its operators, who need to ensure output of right quality, quantity and uniformity while also conserving energy and maintaining machine health and circuit balance.
Operators monitor the process and can make periodic changes to feed speeds and machine settings, but operation is often suboptimal in practice.
SentianController learns the dynamics of the system and identifies ideal operational settings in real time, allowing the automation of several steps of the production process.