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Big Data Analytics in Industrial IoT and Cybertwin

Big Data Analytics in Industrial IoT and Cybertwin

Rajendran T., Surya S., Mohamed Imtiaz N., Babu N.
Copyright: © 2023 |Pages: 20
ISBN13: 9781668457221|ISBN10: 1668457229|ISBN13 Softcover: 9781668457238|EISBN13: 9781668457245
DOI: 10.4018/978-1-6684-5722-1.ch010
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MLA

T., Rajendran, et al. "Big Data Analytics in Industrial IoT and Cybertwin." New Approaches to Data Analytics and Internet of Things Through Digital Twin, edited by Karthikeyan Periyaswami, et al., IGI Global, 2023, pp. 191-210. https://doi.org/10.4018/978-1-6684-5722-1.ch010

APA

T., R., S., S., N., M. I., & N., B. (2023). Big Data Analytics in Industrial IoT and Cybertwin. In K. Periyaswami, P. Katina, & S. Anandaraj (Eds.), New Approaches to Data Analytics and Internet of Things Through Digital Twin (pp. 191-210). IGI Global. https://doi.org/10.4018/978-1-6684-5722-1.ch010

Chicago

T., Rajendran, et al. "Big Data Analytics in Industrial IoT and Cybertwin." In New Approaches to Data Analytics and Internet of Things Through Digital Twin, edited by Karthikeyan Periyaswami, Polinpapilinho F. Katina, and S.P. Anandaraj, 191-210. Hershey, PA: IGI Global, 2023. https://doi.org/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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