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Big Data Analytics in Industrial IoT and Cybertwin
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Author(s): Rajendran T. (Rajalakshmi Institute of Technology, India), Surya S. (Saveetha Engineering College, India), Mohamed Imtiaz N. (HKBK College of Engineering, India)and Babu N. (Siddharth Institute of Engineering and Technology, India)
Copyright: 2023
Pages: 20
Source title:
New Approaches to Data Analytics and Internet of Things Through Digital Twin
Source Author(s)/Editor(s): P. Karthikeyan (National Chung Cheng University, Chiayi, Taiwan), Polinpapilinho F. Katina (University of South Carolina Upstate, USA)and S.P. Anandaraj (Presidency University, India)
DOI: 10.4018/978-1-6684-5722-1.ch010
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Abstract
The internet of things (IoT), big data analytics, artificial intelligence (AI), and cybertwin, as well as other digital technology and designed intelligence have accelerated the 4th industrial revolution known as Industry 4.0. Industry 4.0 applications must construct complicated machine representations from such fundamental pieces, which is a time-consuming, error-prone, and wasteful process that impedes machine and plant mobility. Cybertwin, a comprehensive solution for fast Industry 4.0 application creation, testing, and porting, is proposed in this study. The deployment of cybertwin with IIoT will enhance the efficiency and accuracy of real-time IIoT applications. Further, these huge mixtures of data will be analyzed by using big data analytic tools to produce intensive incident commands, and it is further deeply analyzed to discover various knowledge, which supports redesign and reengineering of the specific process. The cloud computing platform will be utilized to achieve big data analytics effectively.
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