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Knowledge Hub Articles

Digital Twin Level of Sophistication

Digital twins, virtual replicas of physical assets, are transforming asset management through five defined levels, ranging from visualization to autonomy. These levels, as proposed by the Digital Twin Consortium, provide varying degrees of sophistication and integration. Beginning with Descriptive Digital Twins for basic visualization, ascending to Autonomous Digital Twins capable of real-time autonomous actions, these digital counterparts offer versatile applications for monitoring, predictive maintenance, and comprehensive optimization. Integration with real-time data is pivotal, and as technology evolves, the transformative potential of digital twins continues to expand.

Level of Integration

Digital twins, virtual replicas of physical assets, offer transformative capabilities for monitoring, simulating, and optimizing performance. Three key integration levels - digital model, digital shadow, and digital twin - govern the depth of interaction with the physical asset. The choice of integration level depends on the application's complexity, with digital twins enabling real-time data exchange. This article provides insights into these levels, showcases applications, and underscores the benefits, emphasizing the pivotal role of integration in unlocking digital twin potential.

Types of Digital Twins

Digital twins, encompassing Parts Twins, Product Twins, System Twins, and Process Twins, are integral to industries worldwide. Parts Twins meticulously represent individual components, ensuring quality and compatibility, while Product Twins provide a holistic view of entire products, facilitating design, testing, and optimization. System Twins offer insights into complex, interconnected systems, aiding in monitoring and optimization. Process Twins simulate specific workflows, improving efficiency and identifying bottlenecks. These digital twins enable organizations to enhance decision-making, reduce errors, and optimize performance throughout the product development, manufacturing, and system management processes.

What is a Digital Twin?

Digital twins are virtual representations of physical objects, systems, or processes that have become a transformative force across various industries. This article explores the concept of digital twins, their key characteristics, benefits, use cases, and the four levels of sophistication. Digital twins offer real-time insights, predictive capabilities, and even prescriptive advice for optimizing operations and improving decision-making. The article concludes with a vision of the future, where autonomous digital twins may revolutionize the way we interact with the physical world.

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Digital Twin Examples

Digital Twin for Industrial Water Symbiosis System

The CARDIMED project (H2020, GA: 101112731) is making important advancement in water management by developing a Hybrid Digital Twin of the real-world industrial water network infrastructure. Digital Twins hold great potential towards continuous monitoring, analysis, and optimization of operations, ultimately improving efficiency and sustainability.

Digital Twin of an autonomous tugboats swarm system for the docking of a containership

As part of the MOSES project, under the EU's Horizon 2020 framework, CORE has pioneered the transition from traditional manual docking procedures to an autonomous swarm of tugboats. These advancements were made possible by creating a sophisticated simulation environment and training the agents through deep reinforcement learning techniques to optimize docking strategies. This digital twin technology, coupled with an AutoPilot control system, exemplifies a significant leap forward in maritime operations, reducing docking time and enhancing port service availability and environmental sustainability.

Digital Twin for the recycling module of a Teaching Learning Factory

The SMC FIC-400 Teaching Learning Factory (TLF), part of PBN’s Digital Innovation Hub in Hungary, has integrated an innovative Digital Twin of its new recycling module, under the DigiTwinGreen project funded by the EIT Regional Innovation Scheme. The Digital Twin simulates the recycling process in a Mixed-Reality environment, allowing for hands-on training and optimization of the recycling module's efficiency.

Digital twin of Electric vehicles battery pack

A digital twin of the Hyundai Konas battery pack was created to make data sets for computer vision models and teach the battery pack's robotic disassembly

Digital Twin Lighthouse Project @ SSF

Digital Twin of Swiss Smart Factory Lighthouse project using Virtual Components Software: Building a digital twin using Virtual Components software offers advantages such as accelerated development, cost savings, operational optimization, better decision-making, and enhanced product lifecycle management. It is particularly valuable in industries like manufacturing, healthcare, aerospace, and more, where complex systems can benefit from virtual representation and simulation.

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