Affiliation:
1. Brainware University, India
Abstract
The concept of a “digital twin” is gaining traction across various sectors, involving replicating real-world items into software equivalents. This study explores the evolution of digital twin technology, starting with its inception in the industrial sector, to understand its expected characteristics. Combining IoT and digital twin technologies marks a significant turning point, promising substantial business improvements. The integration enhances decision-making processes and operational efficiency by enabling real-time data collection through sensors, smooth data sharing via communication protocols, and localized data processing through edge computing. Digital twins offer advanced tracking, examination, and modelling of physical entities. This chapter focuses on explaining the merger of IoT and digital twin technologies, aiming to examine recent advancements, analyze integration challenges, and showcase real-world applications and case studies, thereby guiding future research in this field.