RECAUST DIGITAL TWIN predicts and warns operators of possible plant malfunctions like over- and under-liming. It also predicts critical operator actions such as white liquor filter washing, set points for G/L ratio and optimal slaker temperature to achieve highest causticizing efficiency. The application offers guidelines for inventory management by advising optimal production set points, and digital twin delivers data reconciliation for process instruments like density, temperature and flow transmitters. Digital twin also functions as a virtual sensor for hard-to-measure parameters such as density at critical locations like the slaker, each causticizer, white liquor filter or lime mud filter. The use of virtual instruments can save customers money by eliminating the high installation and maintenance costs of physical instruments.
In the mineral processing industry, METRIS DIGITAL TWIN FOR OVERLAND CONVEYOR provides a comprehensive overview of the material transport process. Using input from the live plant, the simulation model can offer reliable early warning systems against such disruptions capacity over-utilization, belt slip, roller jam or belt tear. The result is significantly reduced conveyor downtime and maintenance cost, thus increasing operational safety and equipment lifecycle. The digital twin also provides reconciled data and soft sensor readings for weightometers, and a dynamic loading profile across the length of the conveyor. The application can be extended to a network of conveyors to maximize overall utilization safely and reliably.