Imagine that we know an object well when it starts out, and we can measure activity and forces applied to it, and we can simulate how it would react and change. In such a case, we’ve created a “Digital Twin” for our object.
Consider the critical structural elements of an airplane in which actual fatigue is evaluated by removing parts from the aircraft and performing X-ray examinations. What if our Digital Twin for a particular aircraft could accurately predict what we would see without making us remove the item and X-ray it?
Digital Twins have been applied to aircraft for some time, but are now poised to explode in usage thanks to the Internet of Things (IoT) and the availability of enormous compute power to do the simulations. I attended a discussion group on the topic of Digital Twins at a conference earlier this year, and I was struck by the interest level among those who didn’t appear to have a compelling need. Not surprising, though, given that this technology was listed on Gartner’s Top 10 Strategic Technology Trends for 2017.
Gartner predicts billions of things will have Digital Twins in the next few years, in large part thanks to the enormous number of interconnected IoT devices. Digital twins will come to life due to billions of IoT devices, coupled with real-time data feeds and massive compute power in data centers to ponder what the data means. We appear to be on the verge of trusting Digital Twins to model physical reality
Article source: http://www.infoworld.com/article/3209761/software/digital-twins-a-compelling-use-for-simulations-on-iot-data.html