Digital twin technology is an important part of the industry 4.0 revolution.
Digital twins is a concept of integrating different smart technologies including
integration of data and digitization. The vision of the digital twin technology is based
on the philosophy that any component, assembly, system, process, product, or even
environment can be replicated in terms of form, functionality and several other
parameters in a digital way throughout different phases of its lifecycle. The Digital
Twin concept is based on the highly growing information and communication
technologies alongside conventional methods for getting better interconnection and
integration amongst all the entities involved in a particular phase of the product
lifecycle. The Internet of things (IOT) and artificial intelligence (AI) are crucial parts of
the Industry 4.0 revolution. IOT proposes to embed electronics, sensors, network
connectivity and different software platforms with products. Better integration between
the physical and digital world is achieved by a strong network infrastructure that
facilitates remote sensing, monitoring and even controlling of connected systems. This
technology provides users with many benefits such as increased efficiency, reduced
downtime, improvement in precision and accuracy along with cost saving.
This chapter includes an overview of digital twin-enabling technologies and their
applications. The applications range from Artificial Intelligence, Internet of Things
(IoT) to manufacturing.
Keywords: Artificial intelligence, Digital twins, Internet of things (IoT), Machine learning.
