November 9, 2023. Digital twins might sound futuristic, but they''re here, transforming how businesses operate. Essentially, they''re virtual replicas of physical systems, allowing us to simulate and analyze data in ways that were once just pipe dreams. This technology is pivotal, not just for its cool factor, but because it can significantly
Digital twin technology, crafting a virtual mirror of the tangible environment and objects, is emerging as a game-changing factor setting companies apart within the AEC (Architecture, Engineering, and Construction) sector. Forrester Research highlights a positive trend, revealing that 55% of global software technology decision-makers are
Digital Twin: enabling technologies, challenges and open research IEEE Access, 8 ( 2020 ), pp. 108952 - 108971, 10.1109/ACCESS.2020.2998358 View in Scopus Google Scholar
Digital twin (DT) is an emerging technology that enables sophisticated interaction between physical objects and their virtual replicas. Although DT has recently gained significant attraction in both industry and academia, there is no systematic understanding of DT from its development history to its different concepts and
Digital twin technology has been widely developed and very active in many areas of. intelligent manufacturing in recent years. Due to the complexity of ship equipment, the impact. of variable
A framework for the application of Energy Digital Twin technology (including Digital Model, Digital Shadow, and Digital Manager) to the process and energy industries. Industrial sites often contain multiple operations and processes, which output signals, measurements and other data that form the basic inputs to the EDT.
Development in digital-twin technology has been rapidly growing across a range of industries and disciplines. However, to ensure a wider and more robust adoption of such technology, various
The current digital twin concept is general and ambiguous. The concept should evolve towards more clarity and specificity and rely on industry practice. In terms
Challenges of Digital Twin Technologies Integration in Modular Construction: A Case from a Manufacturer''s Perspecti ve.pdf Content available from CC BY 4.0: Paper_18-Challenges_of_Digital_Twin
A digital twin is a digital model of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance. [1] [2] [3] The digital twin is the underlying
The paper provides a deep insight into the technology, lists design goals and objectives, highlights design challenges and limitations across industries, discusses research and commercial developments, provides its applications and use cases, and covers developments to date. Digital Twin (DT) is an emerging technology surrounded by
Probably the first definition of it was given by NASA in their integrated technology roadmap (Technology Area 11: Modeling, Simulation, Information Technology & Processing Roadmap; 2010), which has been slightly adapted in
Here we provide a brief overview of digital twin advancements in industry and highlight the main pitfalls to avoid and challenges to overcome, to improve the
Digital twins use mathematical models [1,2], application programming interfaces (APIs), and specification-based technologies [3,4] to characterize physical assets. DTs run on containers, virtual machines (VM), or
This paper presents a comprehensive, in-depth review of digital twin models in terms of the concept and evolution, fundamental components and frameworks, and existing
The other major concern that troubles most company owners who are keen on trying out digital twin is doubt regarding the overall accuracy of the simulation the technology will build. In order to explain how accurate the simulations will be, we must first understand that the accuracy and how realistic the simulation will strictly depend on how
The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction.
The digital twin is an emerging technology that builds on the convergence of computer science, mathematics, engineering, and the life sciences. Digital twins have potential across engineering domains, from aeronautics to renewable energy. On February 7 and 9, 2023, the National Academies of Sciences, Engineering, and
We discuss the current state of machine learning and big data in digital twin, and find that the advancement in these technologies has impacted the adoption and ideal implementation of digital twin. We assess the implementation of digital twins in various domains, and find that the architecture is highly impacted by the application domain.
We provide an overview of the recent trends in digital twin technology (digital twin evolution) and DT categories and definitions based on different
1. Introduction A Digital Twin (DT) is a virtual representation of a Physical Object (PO), capable of simulating and analyzing the PO''s performance in the real world. Digital twins use mathematical models [1, 2], application programming interfaces (APIs), and specification-based technologies [3, 4] to characterize physical assets.. DTs run on
Each component of the asphalt pavement''s five-dimensional digital twin (DT) framework has been analyzed. • The intelligent sensing technologies suitable for asphalt pavement DT construction have been reviewed. • The challenges associated with DT intelligent
Digital twin technology has the power to revolutionise industries by providing a means of understanding and optimising complex systems. Its applications are vast and its benefits substantial. While challenges remain, ongoing advancements in data analytics, AI, and IoT are expected to drive the widespread adoption of digital twins,
In the rapidly evolving landscape of Industry 4.0, digital twins have emerged as a transformative technology across various industrial sectors. This paper presents a comprehensive, in-depth review of digital twin models in terms of the concept and evolution, fundamental components and frameworks, and existing digital twin models
To exploit this challenge, the authors propose a unified mathematical foundation that draws from probabilistic graphical models (PGMs) and dynamical system theory to leverage emerging digital twin
Buildings consume a significant amount of energy throughout their lifecycle; Thus, sustainable energy management is crucial for all buildings, and controlling energy consumption has become increasingly important for achieving sustainable construction. Digital twin (DT) technology, which lies at the core of Industry 4.0, has
Digital twins can iterate and evolve through the seamless connection and fusion between the virtual and physical spaces1, and this consistency and synchronization can bring
To overcome this challenge, the key enabling technologies for Digital Twins - data analytics and IoT - must follow the current practices and updates in security and privacy regulations. Security and privacy consideration for Digital Twins data contribute to tackling trust issues with Digital Twins. 4) Trust.
Challenges of Digital Twin in High Value Manufacturing October 2018 DOI:10.4271/2018-01 -1928 Conference: SAE International - Aerospace Systems and Technology Conference
6. Improving user satisfaction: By using Digital Twin, companies can understand the behavior and needs of their users in a faster and better way. This results in providing a more personalized experience, improving user satisfaction with the product and increasing customer loyalty to the brand. 7.