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Development, verification, and certification of a digital twin for a voyage data recorder

Published online by Cambridge University Press:  25 June 2025

Nikolaos Stavrou*
Affiliation:
Research & Development Department, Furuno Hellas, Glyfada, Greece
Joseph Morelos
Affiliation:
Lloyd’s Register Marine and Offshore, Lloyd’s Register Global Technology Centre, Southampton, UK
Domenic Di Francesco
Affiliation:
Partner Institution University of Cambridge, The Alan Turing Institute, London, UK
Apostolos Meliones
Affiliation:
Department of Digital Systems, University of Piraeus, Piraeus, Greece
Pavlos Progias
Affiliation:
Research & Development Department, Furuno Hellas, Glyfada, Greece
Duffy Duncan
Affiliation:
Technology and Technical Governance, Lloyd’s Register EMEA, London, UK
*
Corresponding author: Domenic Di Francesco; Email: ddifrancesco@turing.ac.uk

Abstract

This paper documents the details of the design, verification, and certification of a novel technology: a remote monitoring system (digital twin) for a voyage data recorder, referred to as the HermAce Gateway. The electronic components, data transfer, and storage principle explain how the HermAce Gateway communicates and records safety-critical messages. Various prospective benefits to the industry are provided, primarily regarding the opportunities for remote support and testing that the digital twin facilitates. The HermAce Gateway was independently verified through a combination of semi-automated software in the loop and selected complimentary hardware in the loop tests. Different types of communication were simulated in multiple ways, including approximating real-world scenarios. Alarms contained in correctly formed messages were found to be detected and recorded by the HermAce Gateway, and a discussion of how this evidence can be quantified in the context of reducing uncertainty in the reliability of a digital twin. Certification of a digital system is a new concept in the maritime industry. The identification of functional requirements, which informed the verification testing, and the development of an AI register for what is expected to be an increasing number of such systems are also documented.

Information

Type
Translational Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Network diagram of HermAce gateway digital twin solution on the ship.

Figure 1

Figure 2. HermAce hybrid infrastructure.

Figure 2

Figure 3. Components of the event trigger module.

Figure 3

Figure 4. Communication between nautical devices and event trigger module.

Figure 4

Figure 5. Structure of an ALR alarm.

Figure 5

Table 1. Properties of alarms

Figure 6

Table 2. Processed information from an alarm

Figure 7

Figure 6. Image of constant data flowing from NAV/COM equipment and sent to the cloud.

Figure 8

Figure 7. Image of data flow after HermAce gateway processing and sending to the cloud.

Figure 9

Figure 8. The device management image is taken from the HermAce gateway.

Figure 10

Figure 9. The data collector and distributor image is taken from the HermAce gateway.

Figure 11

Figure 10. Image taken from HermAce gateway.

Figure 12

Figure 11. SQLite alarm database for the HermAce system.

Figure 13

Figure 12. SiL testing of sequential alarm cases.

Figure 14

Figure 13. SiL testing of simultaneous alarm cases.

Figure 15

Table 3. Results of SiL testing

Figure 16

Figure 14. Effect of 100 successful verification tests on probabilistic estimate of digital twin reliability.

Figure 17

Table 4. Results of SiL testing

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