Industrial IoT [Industry 4.0 in EMEA] has brought the rise of connected devices that stream information and optimize operational behavior over the course of a device’s lifetime. Applying digital twin strategies to IIoT systems refers to the ability to create virtual representations of the operating devices and use those representations to optimize operational behavior.

This presentation covers how to develop and deploy MATLAB^® algorithms and Simulink^® models as digital twin and IoT components on assets, edge devices, or cloud for anomaly detection, predictive maintenance, control optimization, and other applications.  It will also cover how digital twin models are an extension of Model-Based Design when considering the overall system design and operation.

Using a real hardware system demonstration, the presentation will cover both data-driven and physics-based approaches for digital twin modeling, and show how those models are used in operational applications.