This white paper is a engineers guide to digital twin technology and how to leverage it to improve IoT projects.
This is an engineer’s guide to digital twin – but what is digital twin? While the term sounds like something out of a bad science fiction novel, “digital twins” are revolutionizing the ways that businesses use artificial intelligence, data analytics, and the Internet of Things (IoT). So what is a digital twin exactly, and why should they be an essential part of your IoT projects?
Simply put, a digital twin is a virtual replica that is intended to imitate the real-world behavior of a physical object or system. Companies have used digital twins to model everything from aircraft engines to apartment buildings. Digital twin technology has applications in many different domains: engineering, manufacturing, transportation, construction, energy, and more. Any time that you want to understand the real-world behavior of a device or product, building a digital twin can help. When designing a car, for example, engineers have a set of preconceptions and expectations about how the vehicle will act under certain conditions. During the car’s operation, sensors and devices are used to collect measurements and data and send them back to the company for analysis. This information can then be compared with the output from the digital twin to determine whether the car is still behaving in line with the way it was designed.
If you are interested in this engineer’s guide to digital twin technology, download this 14-page white paper from Very:
- How digital twin technology works
- How digital twins can improve your IoT project
- See a detailed, real-world example of a digital twin