The Thickener optimization Application more accurately predicts the physical and geometallurgical properties of the feed material compared to current expert systems. It supplies that data in real time to the Operators to enable them to deliver continuous optimization of the Thickener Circuit. This enables mines to accurately optimise the delivery of the feed materials for its thickeners, resulting in an overall increase in percent solids output.
The Thickener Circuit Optimization Application starts by accurately tracking and predicting the geometallurgical and physical properties of the feed material in real time. Virtual Sensors are generated using an asset specific library of mathematical models to determine missing engineering parameters in real time. The Financial Model accurately predicts operating unit costs in real time using dynamic financial variables.
Engineers can test various operational scenarios for training purposes in a process simulation environment. This is enabled through the creation of a digital twin to create a safe environment for testing which accurately replicates the variables present in the live operational process. This can also be done remotely through the creation of an IntelliSense.io ROC (Remote Operations Center).
The brains.app optimization engine uses complex Machine Learning techniques to balance operational and financial optimization by proactively providing control variables required for continuous optimization. The optimization engine is constantly reviewed with input from operations personnel on site.
- Pumping Energy Reduction
- Reduction of water consumption
- Reduced flocculant consumption
- Increased throughput
- Increased % solids, higher return for capita investment
See our Case Study with Antofagasta Minerals.