Research Trends in Artificial Intelligence: Internet of Things

Digital Twin and Its Applications

Author(s): Kiran Wani*, Nitin Khedekar, Varad Vishwarupe and N. Pushyanth

Pp: 120-134 (15)

DOI: 10.2174/9789815136449123010010

* (Excluding Mailing and Handling)


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.

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