Modular Control System and Digital Twin of an Autonomous Robot Ship

Author:
Mindchip
Published
September 23, 2022

EAG103 “Modular Control System and Digital Twin of an Autonomous Robot Ship

2021 – 2022

Principal Investigator: Heigo Mõlder; Tallinn University of Technology , School of Engineering, Department of Electrical Power Engineering and Mechatronics; Financier: Estonian Research Council.

As a result of the project, a crucial interface was developed for the autonomous robot ship, providing a visual representation of both internal systems and the surrounding environment. One of the key outcomes was the implementation of a two-way data communication system using MQTT messages between the server and the robot ship. This enables real-time visualization of data such as wind speed changes over time, ship speed, battery current and voltage, the ship’s position, live camera feed, and more.

A specialized interface was also developed for the ship operator, adapted from the ARPA calculator, to support collision prediction and avoidance analysis. Additionally, several advanced features were created, including:

  • A seabed depth mapping application for harbor captains

  • An energy consumption prediction model

  • A proactive wind effect prediction model

  • A hydrodynamics prediction model

 

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