A digital twin is a virtual representation of a product or workflow across its lifecycle. Digital twins play an important role in manufacturing, as well as supply chain management, healthcare and the court system. A digital twin of a product is composed of three elements: - A physical item in real space.
- A machine-language version of the physical item.
- Data that links the first two elements together.
Historically, digital twins have been used to build predictive models and conduct simulations. For example, the National Football League used statistically-built digital twins to test proposed changes to player equipment without risking the health and safety of real players. With the advent of the internet of things, however, the use cases for digital twins have expanded to include monitoring for a desired state and taking action when that state is not reached. This type of digital twin may also be known as a "state machine." Depending upon the industry, a digital twin may also be referred to as a virtual twin, a digital clone, a virtual mirror or a virtual model. Continue reading about digital twins... |
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