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AI – POZ solution gathers, analyses, and combines various data streams in real time to bring quick benefits operationally.
AI – POZ facilitates the building of virtual sensors to match operational realities.
AI – POZ provides enhancing capabilities to controllers, such as linear and non-linear MPCs or fuzzy, with the use of virtual models of processes through digital twins.
Th digital twins of the process enables search for controller’s optimum parameters, leading to more stable processes. This leads to achieving higher production and quality levels or decreasing energy consumption.
Actionable processes are generally by nature nonlinear and time-varying: Actions taken in the past that were optimal to achieve specific goals may be suboptimal or even inefficient for the current state.
AI – POZ with its ML models continuously adapts to changing conditions in search of optimal operating parameters and targets leading to optimization goals.