Digital Twins Computer Networking Paper Presentation.pptx

A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.

1. D igital Twins

2. Presented by Tanjim Mahtab Taosif Irteja Mahmud Obaydur Rahman Mulla Abid Hossain Romat 2 Presented to, Ms. Tanpia Tasnim Lecturer 213902007 213902016 213902018 213902021 - - - -

3. Outline Underlying Technologies of DT. Advantage of DT. Application of DT. Future of DT. Conclusion. What are digital twin? Origin of digital twin. Why do we need DT? Characteristics of DT. How does DT works? Architecture of DT. 3

4. What are Digital Twins A digital twin is a virtual representation of a physical object, process, or system. It includes a virtual model, real-time data from sensors, and a unique correspondence to the object. The twin monitors the physical asset and uses predictive analytics to optimize performance. Data is analyzed to enhance maintenance and overall efficiency. 4

5. Origin Of Digital Twins 1960 NASA pioneers digital twin concepts for space missions. 1991 David Gelernter introduces digital twin in "Mirror Worlds." 2002 Dr. Michael Grieves formalizes digital twin software in manufacturing. 2010 NASA’s John Vickers coins the term "digital twin." 2021 5

6. Why do we need Digital Twins? Digital twin technology is essential for various reasons in the context of smart manufacturing and Industrial Internet. Here are some key reasons why digital twin is needed. High-Fidelity Simulation Data Acquisition and Transmission Improved Decision-Making Enhanced Visibility and Collaboration Optimization and Upgradation 6

7. Characteristic of Digital Twins 7 Connectivity Homogenization Reprogrammable & Smart Digital Traces Modularity

8. How does Digital Twin Works 8 1. Data Collection 2. Data Transmission 3. Data Processing 4. Creation of DT 5. Real Time Monitoring 6. Predictive Analysis 7. Continuous Improvement Gathering real-time and historical data from sensors and other sources. Transferring collected data to the processing system securely and accurately. Filtering, aggregating, and analyzing raw data to generate useful insights. Developing a virtual model that accurately represents the physical asset. Continuously tracking the asset's current state and performance using the digital twin. Forecasting future conditions and potential issues using predictive analytics. Using insights from the digital twin to optimize and enhance asset performance.

9. How does Digital Twin Works 9 Real-Time Monitoring and Control. Advanced Simulation and Analysis. Continuous Feedback Loop.

10. Architecture of Digital Twin Physical Entity Virtual Entity Sensors Adaptors Comparators Deciders Actuators Command 10

11. Underlying Technologies 11 APIs & Open Standards Internet of Things Artificial Intelligence Cloud Computing Augmented, Mixed & Virtual Reality Digital Twin

12. Advantages Digital Twins Reduction of Errors and Inefficiencies Real-time Monitoring Improved Training Programs Knowledge transfer & Cost savings 12 Predictive Maintenance

13. Application The application of digital twin technology can be diverse and impactful across various industries. Here are some common applications of digital twins: 13 Smart Cities Healthcare Manufacturing Aerospace Energy Management

14. Future of Digital Twin The future of Digital Twin technology holds immense potential for transforming industries and driving innovation across various sectors. Some key aspects that highlight the future of Digital Twin include: Increased Adoption Integration with Emerging Technologies Enhanced Predictive Capabilities Personalized User Experiences Industry 4.0 and Smart Manufacturing Human-Machine Symbiosis & Market Growth 14

15. Future of Digital Twin Figure : Number of Digital Twin-related publications by year from 2011 to 2020 on Scopus and ScienceDirect. 15

16. Conclusions 16 Impact and Potential of Digital Twins Need for Consensus and Systems Engineering Approach Introduction of Design Patterns Catalog Future Work and Domain Exploration

17. Reference [1] Singh, M., Fuenmayor , E., Hinchy , E. P., Qiao , Y., Murray, N., & Devine, D. (2021). Digital Twin: Origin to Future. Applied System Innovation, 4(2), 36. doi:10.3390/asi4020036 [2] Cheng, J., Zhang, H., Tao, F., & Juang , C.-F. (2020). DT-II:Digital twin enhanced Industrial Internet reference framework towards smart manufacturing. Robotics and Computer-Integrated Manufacturing, 62, 101881. doi:10.1016/j.rcim.2019.101881 [3] Pylianidis , C., Osinga , S., & Athanasiadis , I. N. (2021). Introducing digital twins to agriculture. Computers and Electronics in Agriculture, 184, 105942. doi:10.1016/j.compag.2020.105942 [4] Lu, Yuqian ; Liu, Chao; Wang, Kevin I-Kai; Huang, Huiyue ; Xu, Xun (2020). Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues. Robotics and Computer-Integrated Manufacturing [5] Tekinerdogan , B., & Verdouw , C. (2020). Systems Architecture Design Pattern Catalog for Developing Digital Twins. Sensors, 20(18), 5103. doi:10.3390/s20185103  17

18. 18 Thanks! Do you have any questions?