Simulation through digital twin allows you to identify problems before they occur, to plan for the future and even develop new opportunities.
Early examples of digital twin were created in NASA’s ground stations where they would model their spacecraft conditions during a mission to allow them to usefully assist those in space. This proved vital when Apollo 13 ran into trouble and had to be rescued in a very limited time using a plan devised by engineers on the ground through simulation, or twin, of the astronaut’s real situation.
Nowadays, we have many examples of how digital twin is driving innovation and performance:
In Transportation:
- Real time feeds from public transport for mapping of the location and condition of trains
- Live simulation of aircraft flight data for early detection of potential defects or faults
- Models of wind turbines that help predict potentially damaging weather conditions
In Healthcare:
- Tracking of important patient data relating to their health and lifestyle parameters
- Modeling the human heart for diagnosis and to test medications and side effects
- Hospital environment simulation to predict optimal climate control and ward layout
An operational twin brings together all the current available status data, to be at your fingertips when needed. Modeling your operations allows you to make better decisions, based on trusted, up to date and accessible data. Furthermore, historical data can be applied to models in order to project possible outcomes for comparison purposes.
The advantages are obvious:
- faster, easier decision making
- reduced risk of error and downtime
- improved productivity and performance.
Bridging the physical and digital worlds, digital twin allows you to uncover opportunities in the virtual environment that can then be applied in the real world to benefit your business.