Gaining a complete picture of your plant’s performance can be incredibly challenging. Across all your assets, thousands of sensors are continually taking measurements, monitoring for wear and tear, evaluating inputs and outputs, and more. All this data can be invaluable in helping plant operators identify areas for improvement, but it’s worth nothing if it’s locked in siloes or inflexible systems.
There is a huge opportunity in metallurgical processing plants to unlock the true value of data. If decision-makers can gain a clear picture of plant performance, they can more accurately control for productivity, safety, and profit margins — while also helping reduce waste and meet sustainability targets. To deliver these critical insights, industry leaders are embracing the very latest machine learning technologies and process optimisation solutions.
MI Process Optimiser® uses millions of data inputs and outputs generated by the digital twin solver from MI Core® to calculate optimum values for controllable variables — ultimately delivering extremely detailed and accurate results.
of potential improvements pa