Introduction to Digital Twin
Global industries have achieved a tremendous technological transformation due to the linkage between the digital and physical worlds.
This technology is the bridge between the two worlds and enables companies or organizations to develop digital copies of their products, assets, or processes to optimize performance and maintenance.
Digital twin technology has played an important role in enhancing this convergence.
If an automobile company develops a virtual representation or digital copy of a car model, this digital replica is considered the physical car’s digital twin.
Similarly, if a manufacturing company creates a virtual representation of its manufacturing process, the (digital) replicated process is a digital twin of the physical process.
Digital twins are created using digital twin technology. This technology integrates the internet of things (IoT), software analytics, artificial intelligence, and special network graphs to replicate physical assets or processes (physical twins).
The digital twin of the physical system is not intended to outplace the physical system but to test its optimality and predict the physical counterparts’ performance characteristics.
For the creation of a digital twin of any system, the engineers collect and synthesize data from various sources including physical data, manufacturing data, operational data and insights from analytics software.A digital twin continuously updates itself from multiple sources to represent its near real-time status, working condition or position. It’s learning system, learns from itself, using sensors that conveys data of various aspects of its operating condition.
Using a digital replica of the physical system not only accelerates development in various aspects but also helps to analyze, observe and navigate to every minute detail with so much precision that there is no space for errors and inaccuracies ensuring the optimal production output.The construction of a Digital Twin is only the tip of the iceberg, the actual challenge lies in lack of clear standards for implementing them, a need to train people to use them and a plan for governance.
In this course will be presented also that digital twins hold the potential to change healthcare immensely in the future.