Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing

12Data Analytics and Visualization in Smart Manufacturing Using AI-Based Digital Twins

M. Sivakumar^1*, M. Maranco¹, N. Krishnaraj¹ and U. Srinivasulu Reddy²

¹Department of Networking and Communications, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

²Machine Learning and Data Analytics Lab, Centre of Excellence in Artificial Intelligence, Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India

Abstract

Smart manufacturing encompasses the use of cutting-edge technologies, including IoT (Internet of Things), AI (Artificial Intelligence), and data analytics, to optimize production procedures, enhance effectiveness, minimize expenses, and elevate total productivity. A crucial element of smart manufacturing is the notion of digital twins, which refer to virtual duplicates of tangible assets, procedures, or systems. These digital replicas are generated by utilizing real-time data obtained from sensors integrated into tangible assets, and are employed for the purposes of monitoring, analysis, prediction, and optimization. The primary issue lies in integrating data from many sources throughout the production ecosystem while ensuring data quality. Scalable analytics and visualization solutions are necessary to manage the substantial amount of data produced by sensors and other devices in smart manufacturing environments. Manufacturing processes can be intricately intricate, encompassing ...