Digital Twin: Origin to Future

Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin in real time and vice versa. Application of DT includes real-time monitoring, designing/planning, optimization, maintenance, remote access, etc. Its implementation is expected to grow exponentially in the coming decades. The advent of Industry 4.0 has brought complex industrial systems that are more autonomous, smart, and highly interconnected. These systems generate considerable amounts of data useful for several applications such as improving performance, predictive maintenance, training, etc. A sudden influx in the number of publications related to ‘Digital Twin’ has led to confusion between different terminologies related to the digitalization of industries. Another problem that has arisen due to the growing popularity of DT is a lack of consensus on the description of DT as well as so many different types of DT, which adds to the confusion. This paper intends to consolidate the different types of DT and different definitions of DT throughout the literature for easy identification of DT from the rest of the complimentary terms such as ‘product avatar’, ‘digital thread’, ‘digital model’, and ‘digital shadow’. The paper looks at the concept of DT since its inception to its predicted future to realize the value it can bring to certain sectors. Understanding the characteristics and types of DT while weighing its pros and cons is essential for any researcher, business, or sector before investing in the technology.

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Innovative Web Service Grammar for Streaming Computing in Real-Time Technology

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b7306.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 1589-1595

Keyword(s):

Real Time ◽

Research Work ◽

Parallel Flow ◽

Streaming Data ◽

Advanced Technologies ◽

Query Result ◽

Different Types ◽

Pros And Cons ◽

Event Flow ◽

Streaming Computing

The purpose of this work is to develop a UJSON web technology with C# application to analyze the student data in real-ime. Execute continuous requests on JSON streaming data based on advanced technologies for parallel streaming computing, suitable for solving analytic problems and calculation of metrics in real-time. The developed management information system in this research work designed to filtering event flow, building an event flow as a query result, grouping and aggregation of events, and creating window semantics. For testing the proposed work, several queries were selected that implement aggregation with different types of semantic windows (Steps, Slides). Testing was done locally and on education moodle clusters. It was used 4 types of configurations 2, 4, 8, and 16 computing nodes. Based on the obtained results, scalability is noticeable with an increase in the number of nodes. The updated functions of the proposed UJSON could improve the construction of parallel flow systems and data processing. The developed approach based on modern and advanced parallel flow technologies for output calculations considering the pros and cons of various approaches found in the current era.

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When Digital Twin Meets Network Softwarization in the Industrial IoT: Real-Time Requirements Case Study

Sensors ◽

10.3390/s21248194 ◽

2021 ◽

Vol 21 (24) ◽

pp. 8194

Author(s):

Mehdi Kherbache ◽

Moufida Maimour ◽

Eric Rondeau

Keyword(s):

Real Time ◽

Industrial Systems ◽

Digital Twin ◽

Digital Twins ◽

Industrial Internet ◽

Industrial Iot ◽

Time Requirements ◽

Loop Network ◽

Sdn Controller

The Industrial Internet of Things (IIoT) is known to be a complex system because of its severe constraints as it controls critical applications. It is difficult to manage such networks and keep control of all the variables impacting their operation during their whole lifecycle. Meanwhile, Digital Twinning technology has been increasingly used to optimize the performances of industrial systems and has been ranked as one of the top ten most promising technological trends in the next decade. Many Digital Twins of industrial systems exist nowadays but only few are destined to networks. In this paper, we propose a holistic digital twinning architecture for the IIoT where the network is integrated along with the other industrial components of the system. To do so, the concept of Network Digital Twin is introduced. The main motivation is to permit a closed-loop network management across the whole network lifecycle, from the design to the service phase. Our architecture leverages the Software Defined Networking (SDN) paradigm as an expression of network softwarization. Mainly, the SDN controller allows for setting up the connection between each Digital Twin of the industrial system and its physical counterpart. We validate the feasibility of the proposed architecture in the process of choosing the most suitable communication mechanism that satisfies the real-time requirements of a Flexible Production System.

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Real-Time Process-Level Digital Twin for Collaborative Human-Robot Construction Work

Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC) ◽

10.22260/isarc2020/0212 ◽

2020 ◽

Author(s):

Xi Wang ◽

Ci-Jyun Liang ◽

Carol Menassa ◽

Vineet Kamat

Keyword(s):

Real Time ◽

Time Process ◽

Construction Work ◽

Digital Twin ◽

Process Level

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A Real-Time Digital Twin Model Dynamically Modifying Method Based on Consistency Measurement Model

2021 IEEE 4th International Conference on Electronics Technology (ICET) ◽

10.1109/icet51757.2021.9450970 ◽

2021 ◽

Author(s):

Wei-ning Song ◽

Tan Li ◽

Jun-hua Zhou ◽

Lin Xu

Keyword(s):

Real Time ◽

Measurement Model ◽

Digital Twin ◽

Twin Model

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Enhancing spatial perception through sound: mapping human movements into MIDI

Multimedia Tools and Applications ◽

10.1007/s11042-021-11077-7 ◽

2021 ◽

Author(s):

Bernardo Breve ◽

Stefano Cirillo ◽

Mariano Cuofano ◽

Domenico Desiato

Keyword(s):

Real Time ◽

User Study ◽

Spatial Perception ◽

Human Movements ◽

Different Types ◽

Real Time Tracking ◽

People’S Perceptions ◽

Novel Algorithm

AbstractGestural expressiveness plays a fundamental role in the interaction with people, environments, animals, things, and so on. Thus, several emerging application domains would exploit the interpretation of movements to support their critical designing processes. To this end, new forms to express the people’s perceptions could help their interpretation, like in the case of music. In this paper, we investigate the user’s perception associated with the interpretation of sounds by highlighting how sounds can be exploited for helping users in adapting to a specific environment. We present a novel algorithm for mapping human movements into MIDI music. The algorithm has been implemented in a system that integrates a module for real-time tracking of movements through a sample based synthesizer using different types of filters to modulate frequencies. The system has been evaluated through a user study, in which several users have participated in a room experience, yielding significant results about their perceptions with respect to the environment they were immersed.

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