In recent years, there have been concentrations on the Digital Twin from researchers and companies due to its advancement in IT, communication systems, Cloud Computing, Internet-of-Things (IoT), and Blockchain. The main concept of the DT is to provide a comprehensive tangible, and operational explanation of any element, asset, or
August 22, 2023. Industry 4.0, also known as the fourth industrial revolution, is significantly transforming industries across the globe. And the two key digital technologies that help with this revolution are IoT and Digital Twins. They allow industries to connect physical and digital systems, enabling real-time data exchange and automation.
2.2 Digital twin versus building information modeling and cyber-physical system At the core of building information modeling (BIM) lies the utilization of data to create a graphical representation that surpasses the limitations of 2D drawings, resulting in a more visually comprehensive reference model ( Volk et al. 2014 ).
TY - JOUR T1 - Blockchain-based digital twin sharing platform for reconfigurable socialized manufacturing resource integration AU - Li, Ming AU - Li, Zhi AU - Huang, Xidian AU - Qu, Ting N1 - Funding Information: This research is supported by the National
The integration of the digital Twin with so many various industries, including manufacturing, healthcare, and the growth of urban and rural areas, has enhanced the
Digital twin is characterized by seamless integration between physical and virtual spaces [12], which could prove to be a key enabler for efficient verification and validation processes [13]. It can be used to reduce the time and risk of reconfiguration by early detection of design or process sequence flaws of the system in virtual commissioning and simulation [ 14 ].
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
Digital twins —reusable virtual representations of assets, people, or processes and their environments that simulate strategies and optimize behaviors—are a powerful tool that
Digital Twin of renewable integration equipment refers to the concept of creating a digital representation of the equipment by collecting streaming data from sensors and other sources to develop a machine learning model. By training the model based on historical data, the model should be able to predict system behavior based on streaming data
The integration of blockchain and digital twins (DT) for better building-lifecycle data management has recently received much attention from researchers in the field. In this respect, the adoption of enabling technologies such as artificial intelligence (AI) and machine learning (ML), the Internet of Things (IoT), cloud and edge computing, Big
Digital Twin Integration in Manufacturing. Connecting the IoT-based physical system and the virtual model to enable the exchange of data between the two leads to real-time decision-making and analysis of the effectiveness, efficiency and accuracy of the system without affecting the system. Manufacturing plants are complex in nature.
GIS can be used to create digital twins of the natural and built environment and it can also be used to integrate many different digital representations of the real world. For singular objects in the mechanical
Digital twins are motivated by outcomes, tailored to use cases, powered by integration, built on data, guided by domain knowledge, and implemented in IT/OT systems. The process of developing the definition involved an
Digital twin for the integration of the automatic transport and manufacturing processes. A Martínez*1, J Díez1, P Verde1, R Ferrero1, R Álvarez1, H Perez1 and A Vizán2. IOP Conference Series: Materials Science and Engineering, Volume 1193, 9th Manufacturing Engineering Society International Conference (MESIC 2021)
In this study, we reviewed the state of the art at the intersection of artificial intelligence and digital twins, analyzing 149 relevant articles that propose a digital twin
This issue of Nature Computational Science includes a Focus that highlights recent advancements, challenges, and opportunities in the development and
A digital twin is a virtual model of a physical object. It spans the object''s lifecycle and uses real-time data sent from sensors on the object to simulate the behavior and monitor operations. Digital twins can replicate many real-world items, from single pieces of equipment in a factory to full installations, such as wind turbines and even
A digital twin is a virtual copy of a physical system. Thanks for reading, bye! Just kidding, but this simple definition is the essence of the term that was originally coined by Dr. Michael Grieves in 2002. And, by the way, this concept was first used by NASA for space exploration missions. Initially, NASA had physical twins: actual physical
In today''s fast-paced market, companies are challenged to meet increasing customer demands and shorter product life cycles. To successfully respond to these demands, companies must produce a wide variety of different products. This requires the determination of necessary processes and resources for each product, which can be
This paper proposes a novel framework for applying digital twins in the context of SDVs, and the benefits derived from decoupling hardware and software. The ongoing evolution of Software Defined Vehicles (SDVs) in the automotive industry has drawn attention to the importance of decoupling hardware and software to enable greater
Digital twins revolutionize asset management by providing a digital representation of physical assets, integrating real-time data, and enabling data-driven decision-making. They facilitate proactive maintenance, optimize asset performance, support remote management, and enhance the overall efficiency of asset management processes.
Digital twin model of a microgrid with integrated DER systems. Image used courtesy of Bob Odhiambo Communication infrastructure, which involves how information and data flow within the control system of the DER systems and the microgrid, is essential to ensuring the real-time flow of control data and signals for replicating and
designs. Digital Twins of mechanical and electronic components can also be implemented in hardware-in-the-loop or software-in-the-loop facilities. Digital Twins of systems can be implemented in simulators integrated into live-virtual-constructive exercises to
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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. The digital twin is the underlying premise for Product Lifecycle Management and exists throughout the entire lifecycle of the physical entity it represents. Since information is detailed, the digital twin represe
Digital twins operate by integrating several data sources together and arranging tech feeds along a common data pathway (the "tech stack") to analyze data and visualize performance. For best results, the tech stack should be modular, scalable, and provide a single source of truth (Exhibit 2).
Without real-time data, a digital twin is just a static model - accurate at one point but potentially obsolete the next. Real-time data helps here. They ensure that digital twins are not just reflections but dynamically evolving entities that mirror their physical counterparts with impeccable precision. 2.
Abstract— The Digital Twin (DT) is primarily used to digitally represent a physical object, process, or service. Simply put, DT is a clone representation of a physical object in the real world, such as wind farms, objects like a building or even an entire city. The key uses of technology are to collaborate, train, and simulate processes or products. The results of
Today, construction is essential to every economy since it employs many workers and significantly contributes to GDP. The construction industry''s efficiency has lagged behind other industries for decades due to low productivity, a lack of research, and poor adoption of advancements. Fortunately, the successful development of digital
This study reviews the literature at the intersection of the two fields, where digital twins integrate an artificial intelligence component. We follow a systematic literature review approach, analyzing a total of 149 related studies. In the assessed literature, a variety of problems are approached with an artificial intelligence-integrated
Currently, Digital Twin (DT) is considered as one way to integrate the physical space and virtual space. DT essentially include simulation models related to physical things in the real world. It provides the mappings of the physical systems to the digital models in cyberspace from the perspective of geometry, physics, behavior, etc.,
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
Then, digital twin modeling and twinning enabling technologies are further analyzed by classifying them into two main categories: physical-to-virtual, and virtual-to- physical,
Summary. As companies adopt digital twins they will discover that integrating these with each other and other IT assets is complicated. Application leaders should leverage these digital twin integration patterns, while also advocating for standards to help simplify such tasks in the future.
While, the combination of digital twin (DT) and the IoT can promote the integration of the physical world (real) and the digital world (virtual), which becomes the key to give play to the value of the IIoT. This research analyzes the concept of DT and several influential DT framework models and concludes that the implementation of DT
Electrical safety is a critical aspect in design, operation and maintenance of all electrical installations. From planning stage, it is necessary to strictly adhere to the regulations that provide for the complete safety of the installation and to establish an adequate maintenance plan for the duration of its life. However, there are unpredictable situations, such as
Adopt a scalable and flexible platform. Integrating digital twins with IoT involves large volumes of data and requires a platform that is scalable and flexible. We build solutions that can handle the growth of your data and support a variety of data sources and analytics tools. 5. Invest in data security and privacy.
For service-oriented digital twins, data integration is essential to provide value-added data to support comprehensive management functions efficiently and reliably. In particular for infrastructure operation and maintenance, the
Azure Digital Twins is a platform as a service (PaaS) offering that enables the creation of twin graphs based on digital models of entire environments, which could be buildings, factories, farms, energy
HKUST Digital Twin project developed an integrated platform by centralizing data from building information modeling (BIM), geographic information system (GIS), and a variety of internet of things (IoT) systems.