Digital Twin - Architecture

Digital Twin Technology supports complex solutions to build and manage R&D. Let us understand the simple architecture. It is depicted below −

Let us understand the levels one by one in brief.

Level 1: IoT Enabled Physical Asset

This is the first level of architecture. IoT enabled physical assets are like sensors, software programs to connect and exchange the data through the Internet.

Level 2: Data Collection

Collecting data is the second level of architecture. Data is collected from different devices like sensors, IoT devices, and old records. This will be helpful for real-world scenarios.

Level 3: Data Synchronization

Synchronizing the data is third level of process. It is a virtual representation of real time entities and process synchronized with specific frequency level.

Level 4: Data Process and Analytics

Processing the data and analyzing it constitutes the fourth level of architecture. Digital Twin performs multiple simulations to identify the process in different circumstances. Virtual models helps to simulate the data behavior and performance.

Level 5: User Interface

A friendly User Interface is last level of the architecture. It is used to interact with the user and collect feedback from real world data as input to digital twins. It is a continuous process.