Industrial Internet of Things (Iiot)

Intelligent Analytics for Predictive Maintenance
Herausgegeben:Anandan, R.; Gopalakrishnan, Suseendran; Pal, Souvik

• Gebundenes Buch

Produktbeschreibung

INDUSTRIAL INTERNET OF THINGS (IIOT)

This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale.

Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control.

The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines.

The volume will help industry leaders by
_ Advancing hands-on experience working with industrial architecture
_ Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols
_ Putting forward business models revitalizing the workforce with Industry 4.0.

Audience

Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.

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Produktdetails

• Verlag: Wiley & Sons / Wiley-Scrivener
• Artikelnr. des Verlages: 1W119768770
• 1. Auflage
• Seitenzahl: 432
• Erscheinungstermin: 15. März 2022
• Englisch
• Abmessung: 235mm x 161mm x 30mm
• Gewicht: 722g
• ISBN-13: 9781119768777
• ISBN-10: 1119768772
• Artikelnr.: 60695169

Autorenporträt

R. Anandan, PhD completed his degree in Computer Science and Engineering, is an IBMS/390 Mainframe professional, is recognized as a Chartered Engineer from the Institution of Engineers in India, and received a fellowship from Bose Science Society, India. He is a professor in the Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. He has published more than 110 research papers in various international journals, authored 9 books in the computer science and engineering disciplines, and has received 13 awards. G. Suseendran, PhD received his degree in Information Technology-Mathematics from Presidency College, University of Madras, Tamil Nadu, India. He passed away during the production of this book. Souvik Pal, PhD is an associate professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Dr. Pal received his PhD in the field of computer science and engineering. He is the editor/author of 12 books and has been granted 3 patents. He is the recipient of a Lifetime Achievement Award in 2018. Noor Zaman, PhD completed his degree in IT from University Technology Petronas (UTP) Malaysia. He has authored many research papers in WoS/ISI indexed and impact factor research journals and edited 12 books in computer science.

Inhaltsangabe

Preface xvii

1 A Look at IIoT: The Perspective of IoT Technology Applied in the Industrial Field 1
Ana Carolina Borges Monteiro, Reinaldo Padilha França, Rangel Arthur, Yuzo Iano, Andrea Coimbra Segatti, Giulliano Paes Carnielli, Julio Cesar Pereira, Henri Alves de Godoy and Elder Carlos Fernandes

1.1 Introduction 2

1.2 Relationship Between Artificial Intelligence and IoT 5

1.2.1 AI Concept 6

1.2.2 IoT Concept 10

1.3 IoT Ecosystem 15

1.3.1 Industry 4.0 Concept 18

1.3.2 Industrial Internet of Things 19

1.4 Discussion 21

1.5 Trends 23

1.6 Conclusions 24

References 26

2 Analysis on Security in IoT Devices--An Overview 31
T. Nalini and T. Murali Krishna

2.1 Introduction 32

2.2 Security Properties 33

2.3 Security Challenges of IoT 34

2.3.1 Classification of Security Levels 35

2.3.1.1 At Information Level 36

2.3.1.2 At Access Level 36

2.3.1.3 At Functional Level 36

2.3.2 Classification of IoT Layered Architecture 37

2.3.2.1 Edge Layer 37

2.3.2.2 Access Layer 37

2.3.2.3 Application Layer 37

2.4 IoT Security Threats 38

2.4.1 Physical Device Threats 39

2.4.1.1 Device-Threats 39

2.4.1.2 Resource Led Constraints 39

2.4.2 Network-Oriented Communication Assaults 39

2.4.2.1 Structure 40

2.4.2.2 Protocol 40

2.4.3 Data-Based Threats 41

2.4.3.1 Confidentiality 41

2.4.3.2 Availability 41

2.4.3.3 Integrity 42

2.5 Assaults in IoT Devices 43

2.5.1 Devices of IoT 43

2.5.2 Gateways and Networking Devices 44

2.5.3 Cloud Servers and Control Devices 45

2.6 Security Analysis of IoT Platforms 46

2.6.1 ARTIK 46

2.6.2 GiGA IoT Makers 47

2.6.3 AWS IoT 47

2.6.4 Azure IoT 47

2.6.5 Google Cloud IoT (GC IoT) 48

2.7 Future Research Approaches 49

2.7.1 Blockchain Technology 51

2.7.2 5G Technology 52

2.7.3 Fog Computing (FC) and Edge Computing (EC) 52

References 54

3 Smart Automation, Smart Energy, and Grid Management Challenges 59
J. Gayathri Monicka and C. Amuthadevi

3.1 Introduction 60

3.2 Internet of Things and Smart Grids 62

3.2.1 Smart Grid in IoT 63

3.2.2 IoT Application 64

3.2.3 Trials and Imminent Investigation Guidelines 66

3.3 Conceptual Model of Smart Grid 67

3.4 Building Computerization 71

3.4.1 Smart Lighting 73

3.4.2 Smart Parking 73

3.4.3 Smart Buildings 74

3.4.4 Smart Grid 75

3.4.5 Integration IoT in SG 77

3.5 Challenges and Solutions 81

3.6 Conclusions 83

References 83

4 Industrial Automation (IIoT) 4.0: An Insight Into Safety Management 89
C. Amuthadevi and J. Gayathri Monicka

4.1 Introduction 89

4.1.1 Fundamental Terms in IIoT 91

4.1.1.1 Cloud Computing 92

4.1.1.2 Big Data Analytics 92

4.1.1.3 Fog/Edge Computing 92

4.1.1.4 Internet of Things 93

4.1.1.5 Cyber-Physical-System 94

4.1.1.6 Artificial Intelligence 95

4.1.1.7 Machine Learning 95

4.1.1.8 Machine-to-Machine Communication 99

4.1.2 Intelligent Analytics 99

4.1.3 Predictive Maintenance 100

4.1.4 Disaster Predication and Safety Management 101

4.1.4.1 Natural Disasters 101

4.1.4.2 Disaster Lifecycle 102

4.1.4.3 Disaster P