[Industrial paper] Digital Twin Applications Using a Cloud Native Modelica Platform

Authors

  • Abhilash Kumar
  • Arunkumar Narasimhan
  • Tharrini Rajendran
  • Stéphane Velut

DOI:

https://doi.org/10.3384/ecp19375

Keywords:

Digital twin, State estimation, Cloud native Modelica platform, MQTT, Node-RED, REST-API

Abstract

This paper showcases how Modelica technology can be leveraged for real-time applications using a cloud native simulation platform, Modelon Impact™. The platform allows for real-time, two-way communication of data, from the IoT connected plant to a physical model and, from the physical model to a dashboard for plant monitoring and control. The communication relies on open standards and REST-API, which makes it possible to implement digital twins for various applications, such as plant monitoring, predictive maintenance, fault isolation or controls. The paper describes a state estimation workflow where data is transmitted back and forth to the simulation platform via Message Queuing Telemetry Transport (MQTT) and where Node-Red is used for the end-user interface.

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Published

2022-11-22

Issue

Section

Oral session B: Thermal and power system (2)