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The Industrial Internet of Things: Advanced Analytic Framework

The Industrial Internet of Things: Advanced Analytic Framework

Saloni Bhushan, Surabhi Shanker, Korhan Cengiz
Copyright: © 2023 |Pages: 19
ISBN13: 9781668464083|ISBN10: 166846408X|ISBN13 Softcover: 9781668464090|EISBN13: 9781668464106
DOI: 10.4018/978-1-6684-6408-3.ch021
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MLA

Bhushan, Saloni, et al. "The Industrial Internet of Things: Advanced Analytic Framework." Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities, edited by Sabyasachi Pramanik and K. Martin Sagayam, IGI Global, 2023, pp. 396-414. https://doi.org/10.4018/978-1-6684-6408-3.ch021

APA

Bhushan, S., Shanker, S., & Cengiz, K. (2023). The Industrial Internet of Things: Advanced Analytic Framework. In S. Pramanik & K. Sagayam (Eds.), Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities (pp. 396-414). IGI Global. https://doi.org/10.4018/978-1-6684-6408-3.ch021

Chicago

Bhushan, Saloni, Surabhi Shanker, and Korhan Cengiz. "The Industrial Internet of Things: Advanced Analytic Framework." In Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities, edited by Sabyasachi Pramanik and K. Martin Sagayam, 396-414. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6408-3.ch021

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Abstract

Volumes of data produced by the dumb machines in industrial environment are used by smart machine for real time analysis. The ultimate result is far better than human handling and analysis of data, and hence enhancement and accuracy in business decisions. IIoT (industrial internet of things) also referred to as industry 4.0 is developed to enhance the accuracy and performance of industrial processes by using smart sensors and actuators. This chapter shed light on key technologies of IoT ecosystem and also discusses the architecture and development details of an IIoT solution its components, applications, and case studies.

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