Digital Twin systems of automobiles, machines etc

digital twin

1. DIGITAL TWIN Presented by Dr C S Subash Kumar , HoD (I/c), EEE Dr X Ajay Vasanth, Associate Professor, Mechanical Dr J Nagarjun , Assistant Professor, Selection Grade , Mechanical Mr S Ravikrishna, Assistant Professor,  Selection Grade , EEE Mr M Senthilvel, Assistant Professor, Senior Grade, Mechanical

2. Levels of Digital Twin

3. DESCRIPTIVE TWIN It incorporates 3D visualizations to represent the physical system. The intent of an L1 Digital Twin is to describe the structure of the physical system. It helps users understand the components and the relationship between those components that make up the physical system.

4. L2 INFORMATIVE TWIN An L2 Digital Twin focuses on describing the real-time state of a physical system. It connects to data streams from the physical system, either directly or via intermediary data storage systems. Users can visualize the current state of the system through well-laid-out dashboards or immersive 3D environments. It is common in the IoT world for facilities such as power plants and factories. Dashboard monitoring includes simple analytics to trigger alarms. Integrates with IoT and Asset Management systems, including enterprise asset management (EAM) or enterprise resource planning (ERP) systems. It provides a single pane of glass view, showing configuration, maintenance history, and upcoming 

5. L3 PREDICTIVE TWIN L3 Predictive Digital Twin models the behavior of a physical system to make predictions of unmeasured quantities or future states. It assumes that future behavior is similar to past behavior, making it valid for short-time horizons. Predictive models can be machine learning based, first-principles based (e.g., physics simulations), or hybrid.

6. PROJECTS IN DIGITAL TWIN

7. DIGITAL TWIN OF CENTRIFUGAL PUMP BUILD FOR TATA CONSULTANCY SERVICES FOR AN INTERNATIONAL EVENT

8. THERMAL SUB SYSTEM

9. VIBRATION SUB SYSTEM

10. SOFTWARES