A solution based on the forecasts of sensor values allows to predict potential deviations from the stable operation mode at all production stages of an ore processing plant. The program records sensor readings (growth and decline, surges and drops, going beyond the green and yellow corridors) and, in real-time, according to set algorithms, gives the plant dispatcher the recommendation on equipment parameter setting or on the charge to be supplied from various warehouses.
At its base, this solution is a digital twin of the Mining Processing Plant for scenario modeling and building optimal plans for ore enrichment. The optimization module is fed by a directed production chain graph, expected raw material availability, and a predicted plant technical readiness factor. The calculation result is a set of highly accurate plans for supplying raw materials from intermediate warehouses to the refinery. Following these plans, ore treatment refinery dispatchers ensure reaching strategic and operational goals.
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