Amongst all the technologies, digital twin is one of the technologies that is quickly becoming part of our everyday life, but what really is digital twin.
A digital twin is a virtual representation of a real-world object or system. These virtual models are used to digitally represent performance, identify inefficiencies, and design solutions to improve their physical counterparts.
Businesses and organizations use digital twins to design, build, operate, and monitor product lifecycles. Equipped with up-to-date data on physical objects, digital twins can be paired with AI and machine learning to create detailed predictive models and forecast more accurate outcomes than most simulations.
Digital twin benefits
There are as many benefits to using digital twins as there are applications for them. However, some of the most common benefits of using them include:
a) A digital twin could be an entire factory, a shopping mall, or even just a single important piece of equipment that needs to be closely monitored. It allows users to interact with that data, through augmented reality on a smart device or via computer, giving the flexibility to understand and control a system either in the office or in the field.
b) Predictive maintenance – Since the twin system’s IoT sensors generate big data in real time, businesses can proactively analyze their data to identify problems within the system. This ability enables businesses to more accurately schedule predictive maintenance, thus improving production line efficiency and lowering maintenance costs.
c) Lower overall costs by designing, testing, and refining products or systems in virtual environments before mass production or roll-out.
d) Improve operational efficiency by modeling systems with up-to-date information, testing alterations in dynamic simulations, and ultimately implementing real-world changes.
