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Internet of Mechanical Things: The IoT Framework for Mechanical Engineers [Hardback]

(Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia), (University Tenaga Nasional (UNITEN), Malaysia)
  • Formāts: Hardback, 226 pages, height x width: 229x152 mm, weight: 500 g, 35 Tables, black and white; 92 Line drawings, black and white; 92 Halftones, black and white; 184 Illustrations, black and white
  • Izdošanas datums: 23-Feb-2022
  • Izdevniecība: CRC Press
  • ISBN-10: 1032110953
  • ISBN-13: 9781032110950
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Internet of Mechanical Things: The IoT Framework for Mechanical EngineersPalielināt
  • Formāts: Hardback, 226 pages, height x width: 229x152 mm, weight: 500 g, 35 Tables, black and white; 92 Line drawings, black and white; 92 Halftones, black and white; 184 Illustrations, black and white
  • Izdošanas datums: 23-Feb-2022
  • Izdevniecība: CRC Press
  • ISBN-10: 1032110953
  • ISBN-13: 9781032110950
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781032110950.html
Keywords:
"This book provides knowledge, skills, and strategies an engineer requires to effectively integrate Internet of Things (IoT) into the field of mechanical engineering. Divided into three sections named IoT Strategies, IoT Foundation topics, and IoT systemdevelopment, the volume covers introduction to IoT framework, its components, advantages, challenges, and practical process for effective implementation of IoT from mechanical engineering perspective. Further, it explains IoT systems and hands-on training modules, implementation, and execution of IoT Systems. Features: Presents exclusive material on application of IoT in mechanical engineering. Combines theory and practice including relevant terminologies and hands-on. Emphasis on use of IoT to streamline operations, reduce costs, and increased profits. Focusses on development and implementation of Raspberry Pi and Arduino based IoT systems. Illustrates use IoT data to improve performance of robots, machines, and systems. This book aims at Researchers,Graduate students in Mechanical Engineering, Computer Programming, Automobile, Robotics, and Industry 4.0/automation"--

This book provides knowledge, skills, and strategies an engineer requires to effectively integrate IoT into the field of mechanical engineering. Divided into three sections as IoT strategies, foundation topics, and system development, it covers basics, components, advantages, challenges, and practical process for its effective implementation.
Preface xv
Author Biographies xvii
About This Book xix
Concepts Revisited xxi
Hands-On Work and Safety Precautions xxiii
The IoMT Training Kit xxv
PART I Theory and Concepts
Chapter 1 The Internet of Things (IoT)
3(46)
1.1 A New Design Paradigm: The Internet of Things
3(1)
1.1.1 A New Design Paradigm: Design for IoT
3(1)
1.1.2 A New Design Paradigm: Design from IoT
4(1)
1.1.3 IoT for Mechanical Engineers
4(1)
1.2 Introduction to the IoT Framework
4(7)
1.2.1 A Brief Refresher on the Internet
5(2)
1.2.2 The IoT Framework
7(2)
1.2.3 Types of IoT Systems
9(2)
1.3 Understanding the FULL Potential of IoT
11(5)
1.3.1 IoT Potential: Streamlining Operations
11(2)
1.3.2 IoT Potential: Repurposing Data
13(1)
1.3.3 IoT Potential: Data Monetization (Data as a Commodity)
14(2)
1.4 Challenges of Implementing Effective IoT Systems
16(9)
1.4.1 The Multidisciplinary Nature of IoT
17(1)
1.4.2 Sector-Specific Challenges
17(6)
1.4.3 Technological Challenges
23(1)
1.4.4 Socioeconomic Challenges
24(1)
1.5 The Effective Implementation of IoT: The Detailed Procedure
25(12)
1.5.1 Set a Common Ground
25(1)
1.5.2 Define Your System Architecture
26(1)
1.5.3 Set/Define Data Requirements
27(1)
1.5.4 Design the IoT Devices, the Things
28(3)
1.5.5 Networking Configuration and Setup
31(1)
1.5.6 Select/Develop the Required Data Analytics (DA) Algorithms
32(1)
1.5.7 Develop/Select Your IoT Client
33(1)
1.5.8 IoT Outputs: Streamlining Operations
34(1)
1.5.9 IoT Outputs: Protocols for Repurposing Data
35(1)
1.5.10 IoT Outputs: Protocols for Data Monetization
36(1)
1.6 Case Studies of Successful IoT Applications
37(5)
1.6.1 The Centralized Water Management System (2017--2020)
37(2)
1.6.2 The IoT-Enabled Robotic Camera Dolly (2018--2019)
39(1)
1.6.3 Portable, Wireless, Interactive IoT Sensors for Agriculture (2018--2020)
39(2)
1.6.4 IoT Vehicle Management System with Network Selection (2019--Current)
41(1)
1.7 IoT of Tomorrow: Emerging Trends of the Internet of Things
42(4)
1.7.1 IoT Applications of Tomorrow
42(1)
1.7.2 Innovative Solutions for IoT
43(1)
1.7.3 IoT and Other Emerging Technologies
44(2)
References
46(3)
Chapter 2 Foundation Topics: Concepts
49(46)
2.1 Terminologies and Fundamentals
49(3)
2.1.1 Electrical & Electronics Systems
49(1)
2.1.2 Hardware Abstraction
49(1)
2.1.3 A Program vs. an Algorithm
50(1)
2.1.4 The Program Syntax
51(1)
2.1.5 Microprocessors vs. CPUs
52(1)
2.2 Embedded Systems: An Introduction
52(1)
2.3 Embedded Systems: Hardware Considerations
53(6)
2.3.1 Single-Chip Microcontroller Systems (Controller Chip Embedded Systems)
54(1)
2.3.2 Single-Board Microcontroller Systems (Controller Board Embedded Systems)
54(1)
2.3.3 Single-Board Computer Systems (Computer Board Embedded Systems)
54(2)
2.3.4 Embedded Systems: Features, Comparisons, and Combinations
56(3)
2.4 Embedded Systems: Peripherals
59(23)
2.4.1 Modules (Connectivity, Others)
59(3)
2.4.2 Input Devices (Sensors, Buttons)
62(11)
2.4.3 Output Devices (Actuators, LEDs, Buzzers)
73(6)
2.4.4 Miscellaneous Components
79(3)
2.5 Embedded Systems: Software Considerations
82(5)
2.5.1 The Main Elements of a Controller Program
82(1)
2.5.2 Sources of Data for Controller Programs
83(1)
2.5.3 Programming Languages for Controllers
84(2)
2.5.4 The Integrated Development Environment (IDE)
86(1)
2.5.5 Best Practices for Program Development and Troubleshooting
86(1)
2.6 Online Resources
87(2)
2.6.1 Learning Resources
87(1)
2.6.2 IoT Clients
87(1)
2.6.3 IoT Resources and Vendor Solutions
88(1)
References
89(6)
PART II Hands-On System Development
Chapter 3 Foundation Topics: Programming
95(42)
3.1 Programming Languages: C++
95(15)
3.1.1 Getting Starting with C++
95(2)
3.1.2 Working with Data (Variables and Collections)
97(4)
3.1.3 Manipulating Data (Operators & Conditionals)
101(6)
3.1.4 Reusing Code (Loops, Functions, and Libraries)
107(3)
3.2 Programming Languages: Python
110(18)
3.2.1 Getting Starting with Python
110(3)
3.2.2 Working with Data (Variables and Collections)
113(5)
3.2.3 Manipulating Data (Operators and Conditionals)
118(4)
3.2.4 Reusing Code (Loops, Functions, and Libraries)
122(6)
3.3 The Linux Operating System
128(8)
3.3.1 Components of a Linux System
129(2)
3.3.2 The Linux Distributions (Distros)
131(1)
3.3.3 The Linux Commands (General, Networking, apt-get)
132(3)
3.3.4 Reference: System Management Commands
135(1)
References
136(1)
Chapter 4 Arduino-Based IoT Systems
137(40)
4.1 The Arduino Boards
137(5)
4.1.1 The Arduino Uno
137(2)
4.1.2 The Arduino Nano
139(1)
4.1.3 The Arduino Mega
139(2)
4.1.4 The NodeMCU
141(1)
4.2 Arduino Peripherals
142(1)
4.2.1 Arduino Compatible Add-Ons
142(1)
4.2.2 Hardware Setup: Safety Precautions
142(1)
4.3 The Arduino Integrated Development Environment (Arduino IDE)
143(5)
4.3.1 Installation & Setup
143(1)
4.3.2 Arduino IDE Basics
144(1)
4.3.3 Arduino Programming
144(4)
4.4 Hands-On Projects: Arduino Autonomous Systems
148(18)
4.4.1 Project 4.1: The Blinking LED
149(2)
4.4.2 Project 4.2: The Alternately Blinking LED
151(1)
4.4.3 Project 4.3: Button-Controlled LED
152(2)
4.4.4 Project 4.4: Button-Controlled LED Toggle
154(1)
4.4.5 Project 4.5: Button-Controlled LEDs
155(2)
4.4.6 Exercise 4.1: Arduino LEDs and Pushbuttons
157(1)
4.4.7 Project 4.6: The Light Intensity Sensor (Arduino)
157(2)
4.4.8 Project 4.7: The Ultrasonic Distance Sensor (Arduino)
159(3)
4.4.9 Project 4.8: The DHT11 Temperature and Humidity Sensor (Arduino)
162(2)
4.4.10 Project 4.9: Sensor-Actuator Interactions (Arduino)
164(2)
4.4.11 Exercise 4.2: Arduino Autonomous Systems
166(1)
4.5 Hands-On Projects: Arduino-Based IoT Systems
166(10)
4.5.1 Project 4.10: IoT Remote Monitoring Systems (Arduino)
166(6)
4.5.2 Project 4.11: IoT Remotely Operated Autonomous Systems (Arduino)
172(4)
4.5.3 Exercise 4.3: Arduino-Based IoT Systems
176(1)
References
176(1)
Chapter 5 Raspberry Pi-Based IoT Systems
177(40)
5.1 The Raspberry Pi Boards
177(3)
5.1.1 The Raspberry Pi Model B
177(1)
5.1.2 The Raspberry Pi Model A
178(1)
5.1.3 The Raspberry Pi Zero
179(1)
5.2 The Raspberry Pi Peripherals
180(4)
5.2.1 Official Raspberry Pi Accessories
180(1)
5.2.2 Third-Party Accessories
181(2)
5.2.3 Hardware Setup: Safety Precautions
183(1)
5.3 The Raspberry Pi Operating System
184(10)
5.3.1 Installation and Setup
186(1)
5.3.2 Virtual Network Computing (VNC), the Setup
187(1)
5.3.3 Geany IDE Basics (For Raspberry Pi)
187(2)
5.3.4 Raspberry Pi Programming
189(5)
5.4 Hands-On Projects: Raspberry Pi Autonomous Systems
194(15)
5.4.1 Project 5.1: The Blinking LED
195(2)
5.4.2 Project 5.2: The Alternately Blinking LED
197(1)
5.4.3 Project 5.3: Button-Controlled LED
198(1)
5.4.4 Project 5.4: Button-Controlled LED Toggle
199(1)
5.4.5 Project 5.5: Button-Controlled LEDs
200(2)
5.4.6 Exercise 5.1: The Raspberry Pi LEDs & Buttons
202(1)
5.4.7 Project 5.6: The Light Intensity Sensor (RPi)
202(2)
5.4.8 Project 5.7: The Ultrasonic Distance Sensor (RPi)
204(1)
5.4.9 Project 5.8: The DHT11 Temperature and Humidity Sensor (RPi)
205(1)
5.4.10 Project 5.9: Sensor-Actuator Interactions (RPi)
206(2)
5.4.11 Exercise 5.2: The Raspberry Pi Autonomous Systems
208(1)
5.5 Hands-On Projects: Raspberry Pi-Based IoT Systems
209(6)
5.5.1 Project 5.10: IoT Remote Monitoring Systems (RPi)
209(3)
5.5.2 Project 5.11: IoT Remotely Operated Autonomous Systems (RPi)
212(3)
5.5.3 Exercise 5.3: The Raspberry Pi-Based IoT Systems
215(1)
References
215(2)
Closing Remarks 217(2)
Index 219
Sami Salama Hussen Hajjaj

Dr Sami Hajjaj is an academic with more 15 years of experience in engineering education, research, and administration. His areas of interest include Automation, Robotics, Robot Systems, the Internet of Things (IoT), Data Science (Machine Learning), Engineering Education, and impact of Technology on Society. His projects cover a wide range of fields, including Infrastructure, Renewable Energy, Industrial Robotics, Agriculture Automation, Robots for TV & Film, educational Robots, among others. He taught courses on related topics, published journal papers, conducted training in multiple countries, registered patents and other intellectual properties (on IoT and Robotics), and won several international and industry Innovation awards on related topics. He is a Professional Engineer (PEng), a Chartered Engineer (CEng), a Senior Member of IEEE (SMIEEE), a Certified IoT Specialist (CIoTs), and a certified Professional Trainer.

Kisheen Rao Gsangaya

Kisheen Rao holds a Masters in mechanical engineering, and has been working on Internet of Things (IoT) projects since 2017. For his Masters, he focused on IoT and its applications in agriculture, energy, vehicle systems, and others. He has published several papers and patents on related fields and has won numerous awards at university, national, and international levels.

He is a member of the Centre for Advance Mechatronics and Robotics (CaMaRo), specializing in controller programming, artificial intelligence, machine learning, and embedded systems. He contributed in developing the IoT training manual targeted for Undergraduate students, from the student perspective, and co-conducted many of these hands-on sessions, under the supervision of his mentor, Dr Hajjaj. Upon graduation with first-class honours, he founded EzyChip Technologies, an engineering solutions company specializing in robotics, autonomous systems, IoT solutions, and related technologies. He is also a registered Graduate Engineer with the Board of Engineers Malaysia.