A digital twin is a digital asset that simulates the behaviours of a physical counterpart. Digital twin ship literature identifies that the concept is already being applied to specialised problems, but no clear guide exists for creating broader interdisciplinary digital twins. Relevant dimensions of product data modelling and previous attempts at standardizing ship data elucidate the requirements for effective data modelling in a digital twin context. Such requirements are placed in a broader perspective for digital twin implementation that encompasses challenges and directions for future development of services, networks, and software. Finally, an open standardization for digital twin data is proposed based on lessons extracted from this panorama, proposing its application to a research vessel.
The objective of this paper is to present some fundamentals of digital twins that can be applied to examples ranging in different degrees of complexity. The paper presents a common definition of the digital twin concept to examine what are its main elements and how they interact with each other. Such elements are applied to a simple example with a digital twin of a floating body based on computer vision, developed with open source libraries and a web-based approach.
The ship design activity often requires handling and storage of large amounts of data related to different systems inside the vessel, demanding for a structured way to organize it. This article suggests an objectoriented approach to handle virtual prototyping data during conceptual ship design. We start presenting some of the basic concepts related to objects, such as name, property and value. A proposal based on the entity, state and process models is addressed for the virtual prototyping, related to the object-oriented approach. Later, we use the SFI group system as hierarchy structure to represent the ship as an entity and state model. We finish by presenting some simple examples of the proposed approach with a modular ship models and introducing one suggestion of a virtual prototyping model using the concepts presented thorough the paper.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.