The Internet of Mechanical Things: The IoT Framework for Mechanical Engineers

Description

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 system development, 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. Cover Half Title Title Page Copyright Page Dedication Table of Contents Preface Author Biographies About This Book Concepts Revisited Hands-On Work and Safety Precautions The IoMT Training Kit PART I: Theory and Concepts Chapter 1 The Internet of Things (IoT) 1.1 A New Design Paradigm: The Internet of Things 1.1.1 A New Design Paradigm: Design for IoT 1.1.2 A New Design Paradigm: Design from IoT 1.1.3 IoT for Mechanical Engineers 1.2 Introduction to the IoT Framework 1.2.1 A Brief Refresher on the Internet 1.2.2 The IoT Framework 1.2.3 Types of IoT Systems 1.3 Understanding the FULL Potential of IoT 1.3.1 IoT Potential: Streamlining Operations 1.3.2 IoT Potential: Repurposing Data 1.3.3 IoT Potential: Data Monetization (Data as a Commodity) 1.4 Challenges of Implementing Effective IoT Systems 1.4.1 The Multidisciplinary Nature of IoT 1.4.2 Sector-Specific Challenges 1.4.3 Technological Challenges 1.4.4 Socioeconomic Challenges 1.5 The Effective Implementation of IoT: The Detailed Procedure 1.5.1 Set a Common Ground 1.5.2 Define Your System Architecture 1.5.3 Set/Define Data Requirements 1.5.4 Design the IoT Devices, the Things 1.5.5 Networking Configuration and Setup 1.5.6 Select/Develop the Required Data Analytics (DA) Algorithms 1.5.7 Develop/Select Your IoT Client 1.5.8 IoT Outputs: Streamlining Operations 1.5.9 IoT Outputs: Protocols for Repurposing Data 1.5.10 IoT Outputs: Protocols for Data Monetization 1.6 Case Studies of Successful IoT Applications 1.6.1 The Centralized Water Management System (2017–2020) 1.6.2 The IoT-Enabled Robotic Camera Dolly (2018–2019) 1.6.3 Portable, Wireless, Interactive IoT Sensors for Agriculture (2018–2020) 1.6.4 IoT Vehicle Management System with Network Selection (2019–Current) 1.7 IoT of Tomorrow: Emerging Trends of the Internet of Things 1.7.1 IoT Applications of Tomorrow 1.7.2 Innovative Solutions for IoT 1.7.3 IoT and Other Emerging Technologies References Chapter 2 Foundation Topics: Concepts 2.1 Terminologies and Fundamentals 2.1.1 Electrical & Electronics Systems 2.1.2 Hardware Abstraction 2.1.3 A Program vs. an Algorithm 2.1.4 The Program Syntax 2.1.5 Microprocessors vs. CPUs 2.2 Embedded Systems: An Introduction 2.3 Embedded Systems: Hardware Considerations 2.3.1 Single-Chip Microcontroller Systems (Controller Chip Embedded Systems) 2.3.2 Single-Board Microcontroller Systems (Controller Board Embedded Systems) 2.3.3 Single-Board Computer Systems (Computer Board Embedded Systems) 2.3.4 Embedded Systems: Features, Comparisons, and Combinations 2.4 Embedded Systems: Peripherals 2.4.1 Modules (Connectivity, Others) 2.4.2 Input Devices (Sensors, Buttons) 2.4.3 Output Devices (Actuators, LEDs, Buzzers) 2.4.4 Miscellaneous Components 2.5 Embedded Systems: Software Considerations 2.5.1 The Main Elements of a Controller Program 2.5.2 Sources of Data for Controller Programs 2.5.3 Programming Languages for Controllers 2.5.4 The Integrated Development Environment (IDE) 2.5.5 Best Practices for Program Development and Troubleshooting 2.6 Online Resources 2.6.1 Learning Resources 2.6.2 IoT Clients 2.6.3 IoT Resources and Vendor Solutions References PART II: Hands-On System Development Chapter 3 Foundation Topics: Programming 3.1 Programming Languages: C++ 3.1.1 Getting Starting with C++ 3.1.2 Working with Data (Variables and Collections) 3.1.3 Manipulating Data (Operators & Conditionals) 3.1.4 Reusing Code (Loops, Functions, and Libraries) 3.2 Programming Languages: Python 3.2.1 Getting Starting with Python 3.2.2 Working with Data (Variables and Collections) 3.2.3 Manipulating Data (Operators and Conditionals) 3.2.4 Reusing Code (Loops, Functions, and Libraries) 3.3 The Linux Operating System 3.3.1 Components of a Linux System 3.3.2 The Linux Distributions (Distros) 3.3.3 The Linux Commands (General, Networking, apt-get) 3.3.4 Reference: System Management Commands References Chapter 4 Arduino-Based IoT Systems 4.1 The Arduino Boards 4.1.1 The Arduino Uno 4.1.2 The Arduino Nano 4.1.3 The Arduino Mega 4.1.4 The NodeMCU 4.2 Arduino Peripherals 4.2.1 Arduino Compatible Add-Ons 4.2.2 Hardware Setup: Safety Precautions 4.3 The Arduino Integrated Development Environment (Arduino IDE) 4.3.1 Installation & Setup 4.3.2 Arduino IDE Basics 4.3.3 Arduino Programming 4.4 Hands-On Projects: Arduino Autonomous Systems 4.4.1 Project 4.1: The Blinking LED 4.4.2 Project 4.2: The Alternately Blinking LED 4.4.3 Project 4.3: Button-Controlled LED 4.4.4 Project 4.4: Button-Controlled LED Toggle 4.4.5 Project 4.5: Button-Controlled LEDs 4.4.6 Exercise 4.1: Arduino LEDs and Pushbuttons 4.4.7 Project 4.6: The Light Intensity Sensor (Arduino) 4.4.8 Project 4.7: The Ultrasonic Distance Sensor (Arduino) 4.4.9 Project 4.8: The DHT11 Temperature and Humidity Sensor (Arduino) 4.4.10 Project 4.9: Sensor-Actuator Interactions (Arduino) 4.4.11 Exercise 4.2: Arduino Autonomous Systems 4.5 Hands-On Projects: Arduino-Based IoT Systems 4.5.1 Project 4.10: IoT Remote Monitoring Systems (Arduino) 4.5.2 Project 4.11: IoT Remotely Operated Autonomous Systems (Arduino) 4.5.3 Exercise 4.3: Arduino-Based IoT Systems References Chapter 5 Raspberry Pi-Based IoT Systems 5.1 The Raspberry Pi Boards 5.1.1 The Raspberry Pi Model B 5.1.2 The Raspberry Pi Model A 5.1.3 The Raspberry Pi Zero 5.2 The Raspberry Pi Peripherals 5.2.1 Official Raspberry Pi Accessories 5.2.2 Third-Party Accessories 5.2.3 Hardware Setup: Safety Precautions 5.3 The Raspberry Pi Operating System 5.3.1 Installation and Setup 5.3.2 Virtual Network Computing (VNC), the Setup 5.3.3 Geany IDE Basics (For Raspberry Pi) 5.3.4 Raspberry Pi Programming 5.4 Hands-On Projects: Raspberry Pi Autonomous Systems 5.4.1 Project 5.1: The Blinking LED 5.4.2 Project 5.2: The Alternately Blinking LED 5.4.3 Project 5.3: Button-Controlled LED 5.4.4 Project 5.4: B utton-Controlled LED Toggle 5.4.5 Project 5.5: Button-Controlled LEDs 5.4.6 Exercise 5.1: The Raspberry Pi LEDs & Buttons 5.4.7 Project 5.6: The Light Intensity Sensor (RPi) 5.4.8 Project 5.7: The Ultrasonic Distance Sensor (RPi) 5.4.9 Project 5.8: The DHT11 Temperature and Humidity Sensor (RPi) 5.4.10 Project 5.9: Sensor–Actuator Interactions (RPi) 5.4.11 Exercise 5.2: The Raspberry Pi Autonomous Systems 5.5 Hands-On Projects: Raspberry Pi-Based IoT Systems 5.5.1 Project 5.10: IoT Remote Monitoring Systems (RPi) 5.5.2 Project 5.11: IoT Remotely Operated Autonomous Systems (RPi) 5.5.3 Exercise 5.3: The Raspberry Pi-Based IoT Systems References Closing Remarks Index