Synchronization of Industrial Plant and Digital Twin

Abstract

Plant simulations can implement a digital twin. The digital twin is a mirror of the physical asset and shows the state of the assets and the processes at any time during production. Assets however change their behavior due to aging, faults and wear over time. If the simulation configuration and parameterization remain the same, the states of the simulation and the physical asset may drift apart. This paper suggests a method that applies optimization techniques to synchronize the states of the digital twin with the physical asset during production time and at the same time supports detecting changes and identifying their source.