Digital Twins
What are Digital Twins?
A digital twin is a digital print of a physical object or system. Essentially, a digital twin is a computer program that feeds on real-world data collected from the object and replicates the process by creating virtual simulations to predict the performance of the object. Digital twin integrates Artificial intelligence, the Internet of Things, and software analytics to build up the performance of the object under simulations. This enables the exploration of innovative solutions that can be devised and tested on the digital representation before we test them on real-world objects.
How to work with Digital Twins?
It all starts with collecting all sorts of data about the physical object, for example, a Formula 1 racing car. The car is implanted with a lot of sensory devices in the vital areas of the car. Upon receiving the data produced by the sensors, racing teams develop a digital twin of the car which replicates the conditions of the actual car. Once the team is ready with the digital twin of the car, they can run multiple simulations to check the performance of the car under different weather conditions. They can generate feasible improvements to the car which would help them in developing valuable insights and which in turn can be used in making the car better in real life.
Use Cases
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Supply Chain - Helps in creating logistic networks and optimising warehouse
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Construction - Data collected from digital can be used to plan and design future developments
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Healthcare - Increasing operational efficiency of healthcare procedures
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Manufacturing - Product Life-cycle Development, predict performance and maintenance
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Aerospace - Predicting issues involving the aerospace equipment
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Automotive - Improve car's performance using real time data
Benefits
Improved R&D
Improve Efficiency and Cost
Better Understanding of Customer Needs
Prototyping
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