Introduction to Industrial Internet of Things and Industry 4.0
eBook - ePub

Introduction to Industrial Internet of Things and Industry 4.0

Sudip Misra, Chandana Roy, Anandarup Mukherjee

  1. 370 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Introduction to Industrial Internet of Things and Industry 4.0

Sudip Misra, Chandana Roy, Anandarup Mukherjee

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About This Book

Industrial IoT (IIoT) and Industry 4.0 are newly developing and fast emerging domains of interest among students, researchers, and professionals in academia and industry. Due to the popular demand of this topic, Introduction to Industrial Internet of Things and Industry 4.0 is written to serve a diverse readership from the domains of computer science and engineering, mechanical engineering, information technology, industrial engineering, electronics engineering, and other related branches of engineering. Based on the lead author's massive open online courses (MOOCs), this book can be used as a textbook on the emerging paradigm of Industry 4.0 and IIoT, as well as a reference for professionals working in sectors of IIoT.

The book covers the significant aspects of IIoT in detail, including sensors, actuators, data transmission, and data acquisition, which form the core of IIoT. Topics and concepts are presented in a comprehensive manner, so that readers can develop expertise and knowledge. The book helps beginners to gain a basic idea of Industry 4.0 and IIoT as the first section is an overview of IoT applications, infrastructure-based protocols, cloud computing, and fog computing. The second section is designed to impart a basic knowledge of Industry 4.0 and IIoT as well as of the different phases of development in industry. Delving into more advanced areas, other sections in the book cover:

  • The business models and reference architecture of IIoT
  • The technological aspects of Industry 4.0 and IIoT
  • Predictive and prescriptive analytics applied in IIoT-based implementations
  • Applications and case studies of IIoT
  • Key enabling technologies of IIoT

To aid students and professional master IIoT and Industry 4.0, the book includes conceptual questions, exercises, and learning objectives.

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Information

Publisher
CRC Press
Year
2021
ISBN
9781000283105
Edition
1

1

Overview of Internet of Things

1.1 Learning Outcomes
  • This chapter covers the basics of the Internet of Things (IoT), architecture, and its protocols.
  • New readers will be able to have an understanding of the basic protocols of IoT, which will help them to grasp the concepts of the Industrial Internet of Things (IIoT).
  • Additionally, the readers will get a flavor of cloud computing, fog computing, and big data technology.
  • For seasoned learners, this chapter will ease the revision of their exixting knowledge.
  • The reasons for the shift of technology from the traditional methods to cloud, mobile cloud, and fog computing are outlined.
  • The concept of providing physical sensor nodes as service on-demand is also outlined in this chapter.

1.2 Introduction

The rapid advancement in technologies has resulted in automation, and real-time analytics being applied across various interesting fields such as wildlife monitoring, agriculture, military, healthcare, manufacturing, transportation, supply chain, and inventory management. Internet connectivity has become a basic necessity around the globe where IoT connects billions of people by mobile devices, giving rise to immense processing power, storage capabilities, and knowledge access throughout the world. The interconnection of the physical devices such as appliances, vehicles, and human beings with the help of sensors, actuators, and software leads to the formation of a network. This technology enables the physical devices to communicate, interact, process, and exchange data among themselves. As shown in Fig. 1.1, physical objects such as mobile, laptop, bicycle, car, desktops, and even human beings can coordinate and communicate among themselves to form a network. The network of these physical devices is termed as ‘Internet of Things’ (IoT). Kevin Ashton, a British Technology pioneer, at The Massachusetts Institute of Technology (MIT), coined the term ‘Internet of Things.’ He used the term IoT to explain a system, which connects the physical devices over the Internet through sensors. However, CISCO estimates that the concept of IoT evolved between 2008 and 2009. With the help of IoT, physical Things are converted into smart objects, in turn enabling them to be remotely monitored and controlled over the network. Therefore, This leads to amelioration in efficiency, automation, accuracy, and advanced applications.
Figure 1.1
Figure 1.1: Internet of Things.
There has been a significant impact of IoT on the growth of connected devices in the past few years. Although IoT has intricate functionalities, its internal working is quite complicated because of the multiple sensing and communication protocols involved with it. IoT has a wide range of applications in the field of agriculture, healthcare, manufacturing, transportation, environmental monitoring, and others. There are few issues in IoT, which require addressing, such as interoperability among The devices, scalability, and processing of the colossal amount of data generated.
This chapter mainly addresses the basics of IoT, the architecture of IoT, communication protocols of IoT, basics of networking, Cloud computing, fog computing, and big data. The readers are suggested to go through the suggestions given in the CHECK YOURSELF section.
Check yourself
Networking: Basic concepts, OSI model, Layers in the OSI model, TCP/IP Protocol Suite, Physical and Logical Addressing.

1.3 IoT Architecture

The IoT platform connects heterogeneous devices or systems over The network. A Service-Oriented Architecture (SOA) can be designed to validate the basic IoT architecture. There are four different layers of IoT — (1) sensing layer, (2) networking layer, (3) service layer, and (4) interface layer, as shown in Fig. 1.2 [6].
  1. Sensing layer: The sensing layer consists of IoT devices that are equipped with sensor nodes, Bluetooth devices, scalar sensors, analog sensors, digital sensors, and RFID tags as outlined in Fig. 1.2. The sensor nodes sense, process the sensed information, transmit the real-time information, and communicate among themselves. Moreover, these sensor nodes consume low power and require low data-rate connectivity. They form a Wireless Sensor Network (WSN) among themselves. Based on the application type, these sensor nodes are grouped. Each of the IoT devices has a Universal Unique Identifier (UUID).
  2. Networking layer: The networking layer helps the IoT devices to share information with other devices. Additionally, this layer handles the colossal amount of data generated by these IoT devices. Certain QoS requirements should be fulfilled to retain communication among these heterogeneous devices. Concerning Fig. 1.2, the networking layer consists of Social Networks, Mobile Networks, WLAN, Internet, Databases, and WSNs. Therefore, the design issues to be kept under primary considerations are latency, scalability, bandwidth requirements, energy efficiency, security, and privacy.
  3. Service layer: The service layer consistently integrates the services and applications in IoT. This layer executes the overall workflow process, which includes information exchanges, communication, storage, and data management. Additionally, various forms of predictive analytics are performed in this service layer. Further, this layer also maintains trust and utilizes the information extended by the other services.
  4. Interface layer: The heterogeneous IoT devices do not always follow the same IoT protocol. Due to the presence of various types of IoT devices, problems in interaction exist among these devices. In addition to this, with the rapid increase in IoT devices, it becomes quite difficult to connect, communicate, and operate these devices dynamically. Therefore, an interface layer is essential, which can systematically streamline the management and interconnection among things. For example, a call center operator who can communicate only in English and Chinese receives a call in Spanish. If the received call is not interpreted dynamically, the operator will fail to make sense of the ensuing communication. Therefore, there must be a common language for communication between them.
Figure 1.2
Figure 1.2: IoT architecture.

1.4 Application-based IoT Protocols

There are few standard protocols involved for various applications in IoT, as illustrated in Fig. 1.3. As the network user can be a human being, a machine, or an object, there are Few complications involved in the IoT networks [7], which are as follows:
  1. Rapid growth in the number and heterogeneous IoT devices.
  2. Management of the IoT devices.
  3. Standardization of protocols within the network.
Figure 1.3
Figure 1.3: Different IoT protocols.
Check yourself
IEEE Standards, Ethernet, IPv4 addressing, IPv6 addressing, Router, Switch, Gateway, Unicast routing, and Multicast routing.

1.4.1 Infrastructure-based protocols

There are certain infrastructure-based IoT protocols such as 6LowPAN, IPv4/IPv6, and RPL, as depicted in Fig. 1.3.
  1. 6LowPAN: This is a low-power Internet Protocol version 6 (IPv6)-based technology for packet delivery in Wireless Personal Area Networks. 6LowPAN allows low-power devices with limited processing power to be connected over The Int...

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Foreword
  8. Author Biographies
  9. Preface
  10. Endorsements
  11. 1 Overview of Internet of Things
  12. 2 Overview of Industry 4.0 and Industrial Internet of Things
  13. 3 Industry 4.0: Basics
  14. 4 Industrial Internet of Things: Basics
  15. 5 Business Models and Reference Architecture of IIoT
  16. 6 Key Technologies: Off-site Technologies
  17. 7 Key Technologies: On-site Technologies
  18. 8 Sensors
  19. 9 Actuators
  20. 10 Industrial Data Transmission
  21. 11 Industrial Data Acquisition
  22. 12 Introduction to IIoT Analytics
  23. 13 Machine Learning and Data Science in Industries
  24. 14 Healthcare Applications in Industries
  25. 15 Inventory Management and Quality Control
  26. 16 Plant Safety and Security
  27. 17 Case Studies
  28. 18 Test Your Understanding
  29. References
  30. Index