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Industrial Internet of Things (IIoT)
book

Industrial Internet of Things (IIoT)

by R. Anandan, Suseendran Gopalakrishnan, Souvik Pal, Noor Zaman
March 2022
Intermediate to advanced content levelIntermediate to advanced
432 pages
11h 19m
English
Wiley-Scrivener
Content preview from Industrial Internet of Things (IIoT)

4Industrial Automation (IIoT) 4.0: An Insight Into Safety Management

C. Amuthadevi1 and J. Gayathri Monicka2*

1Department of Computer Science and Engineering, SRMIST, Kattankalathur, India

2Department of Electrical and Electronics Engineering, SRMIST, Ramapuram Campus, India

Abstract

Industry 4.0 is the recent revolution in automotive and manufacturing industries for the production of smart devices to make the complete digitalization. One of the significant applications of IIoT is predictive maintenance. In hazardous places, prediction about disaster is helpful to manage the people’s safety and reduction of damages. Machine Learning (ML) approaches are very useful for prediction. ML develops a mathematical, trainable model to analyze the data and apply with different kinds of existing methods for interrogating data. In this chapter, it is going to be discussed about how the advanced and automated data processing is connected with the new types of Computer Vision (CV) applications which influences directly with the human lives and safety of physical assets in hazardous places. The activities such as disaster early warning, recovery, and reconstruction system are to be studied. Also, some of the practical issues in the planning and recovery processes will be discussed.

Keywords: IIoT, predictive maintenance, Machine Learning, optimization, disaster safety management

4.1 Introduction

Earlier industry revolutions in 1980s and 1990s herd innovative in manufacturing technologies. ...

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Publisher Resources

ISBN: 9781119768777Purchase Link