The Intelligent Digital Twin (IDT) is an advanced version of the traditional digital twin, which has been largely passive in nature. IDTs are characterized by their active, online, goal-seeking, and anticipatory
The Intelligent Digital Twin can be used for the realization of the autonomous Cyber-Physical Production Systems. In order to realize the proposed architecture for a Digital Twin, several methods
Through the dynamic acquisition, feature awareness, and deep learning, intelligent digital twin-based attack detection can address these issues and enhance attack identification for IoT threats. Thus, this paper proposed an intelligent digital twin method based on spatio-temporal feature fusion for IoT attack behavior identification.
Huawei Announces Intelligent Twins and Works with Partners for All-Scenario Intelligence. Sep 24, 2020. [Shanghai, China, September 24, 2020] At HUAWEI CONNECT 2020, Huawei announced
Artificial intelligence (AI) and Machine learning (ML) are increasingly used in energy and engineering systems, but these models must be fair, unbiased, and explainable. It is critical to have confidence in AI''s trustworthiness. ML techniques have been useful in predicting important parameters and in improving model performance. However,
Intelligent digital twins closely resemble their real-life counterparts. In health and medical care, they enable the real-time monitoring of patients, whereby large amounts of data can be collected to produce actionable information. These powerful tools are constructed with the aid of artificial int
Artificial intelligence (AI) and Machine learning (ML) are increasingly used for digital twin development in energy and engineering systems, but these models must be fair, unbiased, interpretable, and explainable. It is
A Digital Twin (DT) is a set of computer-generated models that map a physical object into a virtual space. Both physical and virtual elements exchange information to monitor, simulate, predict,
Digital twins are linked to real data sources from the environment, which means that the twin updates in real time to reflect the original version. Digital twins also comprise a layer of behavioral insights and visualizations derived from data. When interconnected within one system, digital twins can form what''s known as an enterprise
The interest in defining and implementing Digital Twins (DT) is at the forefront of today''s product organizations. The evolution of increasingly complex systems
3.3 Intelligent Digital Twin System (Fully-Automated Design) The scope of this project is to design a fully-automated DT system to ensure that the production plant is optimised, and it is continuously readjusting those optimisation parameters in real-time based upon changes which occur on the factory floor.
Digital Twin technology is becoming a global area of research where researchers cover Digital Twin implementation on various aspects of intelligent vehicles
Through the dynamic acquisition, feature awareness, and deep learning, intelligent digital twin-based attack detection can address these issues and enhance
Digital Twin technology is becoming a global area of research where researchers cover Digital Twin implementation on various aspects of intelligent vehicles and explore its potential, opportunities, and challenges to the realization [42]. Digital Twin technology is also widely embraced in the aerospace industry.
Tel.: +49 711 685 67295; Fax: +49 711 685 67302. E-mail address: [email protected] Abstract Digital Twins have been described as beneficial in many areas, such as virtual commissioning, fault prediction or reconfiguration planning. Equipping Digital Twins with artificial intelligence functionalities can greatly expand those beneficial
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
Intelligent Digital Twin (IDT) was initially designed for realizing intelligent manufacturing by virtualizing and learning the data of the physical space in cyberspace. Hence, bringing IDT to networking can provide additional valuable functionalities to meet the above considerations by constructing a virtual intelligent network space, aiming to realize the iterative update of
The role of a Digital Twin is increasingly discussed within the context of Cyber-Physical Production Systems. Accordingly, various architectures for the realization of Digital Twin use cases are conceptualized. There lacks, however, a clear, encompassing architecture covering necessary components of a Digital Twin to realize various use cases in an
As there is no live link to a wind turbine, the framework is referred to as a "Simulated Digital Twin" (SimTwin). 2019-2020 SCADA and wind speed data are used to evaluate this, demonstrating
A uniform mathematical framework based on probabilistic graphical models drives the digital twin technologies towards dynamical control with real-time data.
In the highly competitive field of material manufacturing, stakeholders strive for the increased quality of the end products, reduced cost of operation, and the timely completion of their business processes. Digital twin (DT) technologies are considered major enablers that can be deployed to assist the development and effective provision of
Kapteyn et al. 2 have developed a probabilistic mathematical framework for combined asset-twin systems that are crucial to bolster intelligent automation by supporting data-driven decision making
In this section, Artificial Intelligence for the DT is the set of technologies, algorithms, and solutions capable of supporting the four categories of DTs, i.e., the means to intelligently perform tasks needed for reaching the goals of the DT. Artificial Intelligence is a large realm from which to select different techniques (often overlapping
Digital twins aren''t limited to newly constructed assets; a digital twin can be applied to an existing building or infrastructure to gain insight into its operations and potential use. When you apply intelligent intervention to an existing structure, you''ll improve performance, minimize uncertainty, and better manage risks.
(Digital Twin)？,,、。
Design of an intelligent digital twin for supply chain stress-testing In this section, we describe extant work and theories that inform our study on iDT design for SC stress-testing. First, we elaborate on SC digital twins and human–AI collaboration as the fundamental principles of our approach.
This article presents a discussion on how these Intelligent Digital Twins (IDTs) will evolve and assist in developing and managing complex systems.
PDF | On Jun 1, 2023, Dmitry Ivanov published Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability | Find, read and cite all the research you need on
Intelligent Digital Twin There is a variety of architectures for Digital Twins, [20] has investigated several architectures and presents its own architec- ture of an intelligent Digital Twin, which combines all deter- mined essential aspects of
This work proposes an Intelligent Emergency Digital Twin system based on computer vision and deep learning. The system comprises (1) CCTV network, (2) YOLOv4 evacuee detector, (3) DeepSORT evacuee tracker, (4) Perspective transformer, and
Digital twin (DT) technology has become an effective means of industrial digital transformation due to its ability to realize virtual-real mapping, data fusion, etc. In recent years, the application of DT technology to the assembly process of complex mechanical products in multiple fields can effectively overcome the drawbacks of the
Intelligent digital twins closely resemble their real-life counterparts. In health and medical care, they enable the real-time monitoring of patients, whereby large amounts of data can be collected to produce actionable information. These powerful tools are constructed with the aid of artificial intelligence, machine learning, and deep
The Digital Twin is a virtual representation of a physical asset in a Cyber-Physical Production System (CPPS), capable of mirroring its static and dynamic characteristics.
Guo D, Zhong RY, Lin P, Lyu Z, Rong Y, Huang GQ. Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands. Robotics and Computer-Integrated Manufacturing. 2020 Jun;63:101917. doi: 10.1016/j.rcim.2019.101917
Intelligent Digital Twins: The Role of AI and ML in the Future of Digital Twins Chief Scientist of Advanced Manufacturing Florida Institute of Technology January 2021 DOI:
This chapter addresses the value and the synergies of combining Artificial Intelligence technologies with Digital Twins. We begin with a high level, but
Intelligent Digital Twin to make Rob ot Learn the Assembly process through Deep Learning Bilal Ahmad 1, Mian Usman Sattar 2, Hamza Wazir Kh an 3, Zarmeen Qureshi 4, Raza Hasan 5 Ali Ahmad 6, Moeen
In this paper, a digital-intelligent twin (DIT) for UAV swarm based 5G emergency networks is built, aiming to model the running states of the network and to optimize the problems of resource allocation, power control and swarm deployment under diverse environments. As shown in Fig. 1, the UAV swarm carries 5G base stations, core networks and
In this study, the application of an intelligent digital twin integrated with machine learning for bearing anomaly detection and crack size identification will be observed. The intelligent digital twin has two main sections: signal approximation and intelligent signal estimation. The mathematical vibration bearing signal approximation is