Fully automated coal quality control using digital twin material tracking and statistical model predictive control for yield optimization during production of semi soft coking- and power station coal

The quality control of a two-stage coal washing process involves several complex components that need to be modelled accurately, enable autonomous the process. first objective is develop method track material through process, while ensuring accurate prediction models are used. This was achieved digital twin model Grootegeluk 1 processing plant. amalgamation manipulating and combining data-sets from plant historian, geological wash tables, mining dispatch servers. information then used set medium densities all 15 modules on plant, 10 in primary 5 secondary wash. controller has been successfully implemented controlled for days.