Digital Twin

Full Title or Meme

A computer model of a real-world object for purposes of prediction or explaination of the actions of real-world object.

Context

• The concept of Digital Twin was created as an avatar that could be used as a model for one particular Entity’s behavior.
• It can also be used as an agent used to perform actions for a human operating independently in the digital regime.

Value Proposition

Digital Twins can run practical simulations to study multiple real-time processes, such as predicting failure, improving response times, and informing customers about maintenance information to prolong a product's functioning life. With simple controlling mechanisms built into the devices, we can monitor responses, inform product customers, and remotely solve issues before they happen, enabling automated self-healing functionality. Digital twins can fully control a device without unnecessarily burdening the consumer, allowing a more seamless user experience.

Problems

• In one view, the Digital Twin is created to contain all possible Attributes and Behaviors of a real human being. This rather dystopian view creates a Existential Threat to the real human's privacy. unless the real human has full control of the twin, or trusts it to control the shared privacy,

Solutions

• How Digital Twins Could Protect Manufacturers from Cyberattacks

At the U.S. National Institute of Standards and Technology and the University of Michigan, researchers have combined digital twin technology, machine learning, and human expertise into a cybersecurity framework for manufacturers. The researchers constructed a digital twin to mimic a three-dimensional (3D)-printing process, supplemented with information from a real 3D printer. Pattern-recognizing models monitored and analyzed continuous data streams computed by the digital twin as the printer created a part, then the researchers introduced various anomalies. The programs handed each detected irregularity to another computer model to check against known issues, for classification as expected anomalies or potential cyberthreats; a human expert made the final determination. The team found the framework could correctly differentiate cyberattacks from normal anomalies.

• How Digital Twins can improve manufacturing productivity by 20-30%.

Reference

Other Material

• See wiki page on Being Digital which takes a bit different view where the process is a treated differently.