Digital Twin

Digital Twin

1. DIGITAL TWIN TECHNOLOGY BIJOY T MATHEW DEPARTMENT OF COMPUTER ENGINEERING NSS POLYTECHNIC COLLEGE, PANDALAM TOWARDS THE NEXT GENERATION VIRTUAL WORLD

2. CONTENTS What are digital twins? Why do we need Digital twin? Characteristics of Digital twin Architecture Architecture Diagram Features of Digital twin Advantages and Disadvantages Applications Conclusion References

3. What are Digital Twins ? A digital twin is made up of data sets and it is a virtual representation of a physical object which can accurately mimic the performance of the physical object in a virtual platform. The concept of Digital Twin was first used in Davin gall Inger's 1991 book called mirror worlds. The digital twin has been adopted as a conceptual basis in the astronautics and aerospace area in recent years by NASA.

4. Why do we need Digital twin? It helps in designing and optimization part It helps to predict the aging effect It is capable of monitoring the performance of the physical object throughout the whole life cycle A digital twin also integrate historical data from past machine usage to factor into its digital model

5. CHARACTERISTICS OF DIGITAL TWIN

6. CHARACTERISTICS OF DIGITAL TWIN Connectivity A digital twin is based on connectivity. It enables connection between the physical element and its digital counterpart. The sensors create the connectivity of physical products that obtain, integrate and communicate data using various integration technologies. Homogenization Homogenization has two component steps; firstly, spatially aligning data; and secondly ensuring the quality of the data is compatible Digital twins are both the consequence and enabler of homogenization of data. It allows the decoupling of information from its physical form

7. Digital traces Digital twin technologies leave digital traces. The trails are helpful to diagnose the source of the problem that occurred in case of machine malfunctions Modularity Modularity is referred to the design and customization of products and production modules. The addition of modularity to functional models helps manufacturers gain the ability to tweak machines and models. Reprogrammable and Smart Digital twins automatically enable re-programmability through sensors, artificial intelligence techniques and predictive analysis.

8. ARCHITECTURE DIAGRAM

9. ARCHITECTURE The different stages in the architecture of Digital Twin service involves;- Data and Data Collection Data Pipelines Data Integrity Data Egress

10. Data and Data Collection There is two types of data; Model Data Used to construct digital representation of real world thing by using graph models. Time Series Data Represent the observation of the state of some physical thing at a given time. It can be continuous or discrete. Data Pipelines Merge all data sources from data collection into a single model and exported into element graph.

11. Data Integrity It also looks at the actual data stream for reducing issues with calibrations, connectivity physical issues with the instrumentation that collect the physical data. This is a set of analysis on either single varied or multi varied data . Data Egress The collected and organised data into digital twin is analyse to ensure the accuracy of that data. The final stage is making use of that digital twin, we have built to analogue a whole range of analytics value.

12. FEATURES FEATURES FUNCTIONALITY Document Management All document (drawings,instructions,etc.) Assossiated to equipment throughout its lifecycle. Model Digital representation of the equipment that can mimic properties and behaviors of a physical device 3D Representation Properties of a physical device (measured or simulated) mapped to a 3D digital representation Simulation Representation of a physical device in a simulation Environment to study its behavior

13. FEATURES FUNCTIONALITY Data Model Standardized data model for connectivity,analytics,and/or visualization Visualization Graphical Representation of the object either on a supervisory screen or personal device Model Synchronization Alignment of a model with real world parameters (potentially in real time) Connected Analytics Algorithms and computational results based on measured properties of a physical device

14. ADVANTAGES Improved design Improved build Better early detection and warnings New opportunities Aggregated data Post-manufacturing visibility of products

15. DISADVANTAGES The success of technology is dependent on internet connectivity. The security is at stake. The digital twins concept is based on 3D models and not on 2D drawings Digital twin will be required across entire supply chains. The challenges involved here include globalization and new manufacturing techniques.

16. A pplications of Digital twins Manufacturing In the manufacturing industry, digital twins are used for facilitating product development, design customization, shop floor performance improvement and predictive maintenance .

17. In the manufacturing industry Product development Engineers gain benefits from digital twins as it helps to test the feasibility of upcoming products before launching Design customization Digital twins help businesses design multiple permutations of the product and offer personalized products and services to their clients.

18. Shop floor performance improvement Digital twins are helpful in monitoring and analyzing the end products. It helps engineers to spot the defective and low-performing products in the lot. Predictive maintenance Digital twins help manufacturers predict potential downtimes of machines to improve their overall productivity by minimizing non-value-adding maintenance activities.

19. Other Applications Retail In the retail sector, digital twins are used for modeling and augment customer experience at prominent shopping centers and individual stores. Automotive Digital twins are highly used for creating virtual models of connected vehicles. Automotive companies simulate and analyze the production phase to identify the potential problems during production or when the car hits the roads.

20. Healthcare Digital twins virtualize healthcare services and help healthcare providers to optimize patient care, cost and performance. It aims to improve the operational efficiency of healthcare processes and enhance personalized care. Smart cities The digital twin can help cities to become more economically, socially and environmentally sustainable. Virtual models can guide planning decisions and offer solutions to the many complex challenges faced by modern cities.

21. CONCLUSION combined with the latest machine learning and artificial intelligence tools which helping companies across many industries reduce operational costs, increase productivity, improve performance, and change the way predictive maintenance is done. For product manufacturers in particular, digital twin technology is crucial to achieving more efficient production lines and faster time-to-market.

22. REFRENCES httpswww.marketsandmarkets.comMarket-Reportsdigital-twin-market-225269522.html httpswww.gartner.comennewsroompress-releases2019-02-20-gartner-survey-reveals-digital-twins-are-entering.html https://www.gartner.com/doc/3873175

23. Thank You