IoT and Industrial Automation: A Review of Current Research and Emerging Trends

Authors:
Hlaing Htake Khaung Tin, Si Thu, Ko Ko Maung

Addresses:
Department of Information Science, University of Information Technology, Yangon, Myanmar. Department of Physics, Panglong University, Panglong, Southern Shan, Myanmar. Department of Electronic Communication, Government Technical Institute, Kyaukse, Myanmar.

Abstract:

The Internet of Things has been integrated into industrial automation, and traditional manufacturing and operational processes have changed to give birth to smart factories, predictive maintenance, and real-time data analytics. This paper provides a comprehensive review of current research on the Internet of Things (IoT) in industrial automation, focusing on enabling technologies, applications, challenges, and emerging trends. Analyzing published studies, this paper examines how the Internet of Things (IoT) revolutionizes the fields of smart manufacturing, supply chain optimization, energy management, and quality control. Despite its transformative potential, the implementation of IoT in industrial settings faces significant hurdles, including security vulnerabilities, interoperability challenges, and scalability issues. This paper will also discuss the future trends of industrial IoT in the context of edge computing, 5G networks, digital twins, and the integration of artificial intelligence for enhanced decision-making. This paper aims to provide an understanding of how the Internet of Things (IoT) drives industrial innovation by reviewing the current state of research and identifying future directions in open challenges that need to be addressed for broader adoption.

Keywords: IoT and AI; Emerging Trends; Challenges and Security Vulnerabilities; Industrial Automation; Transformative Potential; Interoperability Challenges; Scalability Issues.

Received on: 26/03/2024, Revised on: 02/06/2024, Accepted on: 13/08/2024, Published on: 09/09/2024

DOI: 10.69888/FTSTPL.2024.000330

FMDB Transactions on Sustainable Technoprise Letters, 2024 Vol. 2 No. 3, Pages: 151-160

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