Authors: k Dr. Tamilarasi, JEPPIAAR INSTITUTE OF TECHNOLOGY
This paper proposes a novel approach to implementing digital twins (DTs) in Industry 4.0 facilities
with reconfigurable systems. The challenge of maintaining DT accuracy in a dynamic workplace change is
addressed by the introduction of augmented reality (AR) authoring tool. This employee-driven tool enables
updates to be available directly on the factory floor, eliminating the need for specialized AR training. The
design prioritizes a user-friendly interface with a short learning curve, and advanced DT has been developed
to ensure adaptability to the ever-changing nature of reconfigurable workstations, with workspace including
data and 3D models of enterprise contact centers. Employees use the AR network to connect DTs with their
physical counterparts and update environments as resource demands evolve. The experimental verification
confirms the effectiveness of the proposed method, especially when using gesture interactions and AR
presentations. This research contributes to the development of Industry 4.0 by providing practical solutions
for implementing DT in dynamic enterprises, ultimately increasing operational efficiency and flexibility
Keywords: machine learning,Augmented reality,Digital Twin,wind turbine,virtual transformation
Published in: IEEE Transactions on Antennas and Propagation( Volume: 71, Issue: 4, April 2023)
Page(s): 2908 - 2921
Date of Publication: 2908 - 2921
DOI: 10.1109/TAP.2023.3240032
Publisher: UNITED SOCIETIES OF SCIENCE