Examining the Effect of Cyber Twin and Blockchain Technologies for Industrial Applications Using AI

Author:

Manoharan Hariprasath1ORCID,Teekaraman Yuvaraja2ORCID,Kuppusamy Ramya3ORCID,Kaliyan Naveenkumar4,Thelkar Amruth Ramesh5ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Chennai 600 123, India

2. Department of Electronic and Electrical Engineering, The University of Sheffield, F127a Sir Frederick Mappin Building, Mappin Street, Sheffield S1 3JD, UK

3. Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore City 562 106, India

4. Department of Instrumentation and Control Engineering, Sri Manakula Vinayagar Engineering College, Puducherry 605107, India

5. Faculty of Electrical & Computer Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia

Abstract

In current generation the concept of cyber twin technology has been emerging as an improved platform for different applications. This paper emphasize on examining the effect of cyber twin technology for manufacturing equipment in Industry 4.0 applications by solving three different elementary objectives. For the proposed conception a new system model is identified for integrating triobjective cases with artificial intelligence algorithm. In addition, high security measures are also incorporated using blockchain technology which is one basic requirement for industrial applications for creating real twins. Both system model and algorithm have been combined for providing effective performance in real time using a physical entity. The effectiveness of the proposed model is tested with sensor prototype and simulated with four scenarios where the projected model provides better performance for more than 72% when compared with existing methodologies.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Role of Cyber Twin Mobile Networks in Digital Communication;December 2022;2023-01-04

2. Artificial Intelligence as a Driver of Industrial Competitiveness;2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS);2022-11

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