Industrial IoT for Architects and Engineers

Industrial IoT for Architects and Engineers

by Joey Bernal, Bharath Sridhar
Released January 2023
Publisher(s): Packt Publishing
ISBN: 9781803240893

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Book description

Go beyond connecting services to understand the unique challenges encountered in industrial environments by building Industrial IoT architectures using AWS

Purchase of the print or kindle book includes a free eBook in the PDF format

Key Features

  • Understand the key components of IoT Architecture and how it applies to Industry 4.0
  • Walk through extensive examples and solutions across multiple Industries
  • Learn how to collect, process, store, and analyse Industrial IoT data

Book Description

When it comes to using the core and managed services available on AWS for making decisions about architectural environments for an enterprise, there are as many challenges as there are advantages. This Industrial IoT book follows the journey of data from the shop floor to the boardroom, identifying goals and aiding in strong architectural decision-making.

You'll begin from the ground up, analyzing environment needs and understanding what is required from the captured data, applying industry standards and conventions throughout the process. This will help you realize why digital integration is crucial and how to approach an Industrial IoT project from a holistic perspective. As you advance, you'll delve into the operational technology realm and consider integration patterns with common industrial protocols for data gathering and analysis with direct connectivity to data through sensors or systems. The book will equip you with the essentials for designing industrial IoT architectures while also covering intelligence at the edge and creating a greater awareness of the role of machine learning and artificial intelligence in overcoming architectural challenges.

By the end of this book, you'll be ready to apply IoT directly to the industry while adapting the concepts covered to implement AWS IoT technologies.

What you will learn

  • Discover Industrial IoT best practices and conventions
  • Understand how to get started with edge computing
  • Define and build IoT solution architectures from scratch
  • Use AWS as the core of your solution platform
  • Apply advanced analytics and machine learning to your data
  • Deploy edge processing to react in near real time to events within your environment

Who this book is for

This book is for architects, engineers, developers, and technical professionals interested in building an edge and cloud-based Internet of Things ecosystem with a focus on industry solutions. Since the focus of this book is specifically on IoT, a solid understanding of core IoT technologies and how they work is necessary to get started. If you are someone with no hands-on experience, but are familiar with the subject, you'll find the use cases useful to learn how architectural decisions are made.

Table of contents

  1. Industrial IoT for Architects and Engineers
  2. Contributors
  3. About the authors
  4. About the reviewer
  5. Preface
    1. Who this book is for
    2. What this book covers
    3. To get the most out of this book
    4. Download the example code files
    5. Download the color images
    6. Conventions used
    7. Get in touch
    8. Share Your Thoughts
    9. Download a free PDF copy of this book
  6. Part 1:An Introduction to Industrial IoT and Moving Toward Industry 4.0
  7. Chapter 1: Welcome to the IoT Revolution
    1. Technical requirements
    2. Industry 4.0 and the digitalization of industry
    3. A very brief history lesson
      1. The first Industrial Revolution
      2. The second Industrial Revolution
      3. The third Industrial Revolution
      4. Moving forward and the fourth Industrial Revolution
    4. How IoT can support Industry 4.0 at scale
      1. Sensor technology
      2. IT versus OT
      3. Industry 4.0 and organizational alignment
      4. You can get there from here
      5. Visibility is everything
      6. Business driving innovation
    5. The convergence – IT, OT, and management working together
      1. Reactive and preventative maintenance
      2. Condition-based maintenance
      3. Predictive maintenance
      4. Approach with caution
    6. Leveraging good architecture to drive progress
      1. Observability
      2. Repeatability lowers cost
    7. Summary
  8. Chapter 2: Anatomy of an IoT Architecture
    1. Technical requirements
    2. Architectural thinking
      1. Reference models
    3. Architectural components for IoT
      1. Designing in layers
      2. Defining the layers
    4. Bringing it all together
    5. Defining standards
      1. Basic project review recommendations
      2. Setting expectations
    6. Summary
  9. Chapter 3: In-Situ Environmental Monitoring
    1. Manufacturing in the bigger context
    2. What do we mean by environmental monitoring?
      1. Why is monitoring important?
    3. Integration patterns and protocols
    4. Getting data from the field
    5. Data drives everything – a common use case
      1. OEE for a legacy plastic manufacturer
      2. Adventures of a humble data packet
    6. Wired versus wireless
      1. Wireless network evaluation
      2. What network should you choose?
      3. Wireless gateways versus Intelligent edge devices
    7. Summary
  10. Chapter 4: Real-World Environmental Monitoring
    1. Technical requirements
    2. Exploring wireless networks and protocols
      1. Standardizing your approach
      2. Data capture architecture
    3. Understanding gateway and network setup
      1. Setting up a TTN IoT gateway
      2. Setting up Milesight UG65
    4. Configuring and deploying sensors
      1. Connecting the AM319 multi-sensor
    5. Collecting data in the cloud
      1. Cloud data ingestion
      2. Data transformation and storage layer
    6. Setting up a basic dashboard
    7. Putting the layers together
    8. Summary
  11. Part 2: IoT Integration for Industrial Protocols and Systems
  12. Chapter 5: OT and Industrial Control Systems
    1. Technical requirements
    2. Revisiting the basics of manufacturing
    3. Understanding industrial control systems
    4. Exploring PLCs
      1. History and evolution of PLCs
      2. Deconstructing PLCs
      3. PLC programming
    5. PLCs versus microcontrollers
    6. The industrial communication of the future
      1. PROFINET and OP CUA
      2. Single Pair Ethernet
      3. Advanced Physical Layer
      4. Time-Sensitive Networking
      5. Industrial 5G
    7. Mapping your integration strategy
      1. Differentiating OT cybersecurity from IT
    8. Where IT meets OT in industrial systems
      1. Why do we need convergence?
      2. What drives IT/OT convergence?
      3. Revisiting the DIKW model
    9. Summary
  13. Chapter 6: Enabling Industrial IoT
    1. Technical requirements
    2. The opportunity of Industry 4.0
      1. Integration complexity
    3. Understanding IT and OT convergence
      1. The emergence of the digital twin
    4. Architecture decisions for enablement
      1. AWS services for IoT
      2. Revisiting cloud data ingestion
      3. Data collection options
      4. Intelligence at the edge with AWS IoT GG
    5. Adopting technical innovations
      1. Which industries are leading the way?
    6. Summary
  14. Chapter 7: PLC Data Acquisition and Analysis
    1. Technical requirements
    2. PLC hardware and architecture
      1. Operating PLCs
    3. PLC programming – ladder diagrams
    4. Practical application of PLCs – a smart mocktail bar
    5. Data integration and mapping
    6. Data ingestion and data analysis
    7. Summary
  15. Chapter 8: Asset and Condition Monitoring
    1. Technical requirements
    2. Understanding APM and system monitoring
      1. What is APM?
      2. APM at scale
    3. Investigating data processing architecture
      1. Simulating data for processing
      2. Processing data with IoT Analytics
      3. Entering the channel
      4. Managing the data pipeline
      5. Cataloging and querying curated messages
    4. Making meaningful decisions with your data
    5. Summary
  16. Part 3:Building Scalable, Robust, and Secure Solutions
  17. Chapter 9: Taking It Up a Notch – Scalable, Robust, and Secure Architectures
    1. Technical requirements
    2. Understanding IIoT architectural principles
    3. Exploring IIoT reference architectures and how to use them
      1. The IIRA
      2. RAMI 4.0
    4. Getting to know the AAS
    5. Getting to know the DSB
    6. System considerations for architectural design
      1. AWS reference architecture for IIoT
    7. Leveraging architecture for AI and ML
      1. Edge and cloud reference architecture for ML
      2. Common issues with AI for Industry 4.0
    8. Summary
  18. Chapter 10: Intelligent Systems at the Edge
    1. Technical requirements
    2. Edge computing and AWS Greengrass
      1. Technology options for your edge approach
      2. Greengrass to the rescue
    3. Setting up our scenario
      1. Modbus data
      2. Greengrass permissions
    4. Communicating between Greengrass components
      1. Modbus Request component
      2. Component deployments
      3. The next component – ModbusTCP
    5. Sending data to the cloud
    6. Summary
  19. Chapter 11: Remote Monitoring Challenges
    1. Technical requirements
    2. Why do we need remote monitoring?
    3. Long-range data acquisition challenges
    4. Case study 1: remote monitoring of a solar farm
      1. The heavy edge configuration
      2. Central cloud-based monitoring platform
      3. Data communication
      4. Data analytics
      5. Concluding remarks
      6. AWS reference architecture for solar farm remote monitoring
    5. Architecting for sustainability
    6. Case study 2: remote monitoring of a CCS unit
    7. Summary
  20. Chapter 12: Advanced Analytics and Machine Learning
    1. Technical requirements
    2. ML and industrial IoT
      1. Interference versus rules
      2. Learning from the data
    3. Engineering your data
      1. Retrieving voltage and current data
      2. Decoding the values
    4. Building the model
      1. Transforming training data
      2. Setting up and training our model
      3. Deploying and testing the model
    5. Real-time inference
    6. Summary
  21. Appendix: General Cybersecurity Topics
    1. OT security strategies
      1. Comprehensive security framework
      2. Orchestrating a robust security program
    2. OT cybersecurity areas of concern
    3. OT cybersecurity best practices
    4. Summary
  22. Index
    1. Why subscribe?
  23. Other Books You May Enjoy
    1. Packt is searching for authors like you
    2. Share Your Thoughts
    3. Download a free PDF copy of this book

Product information

  • Title: Industrial IoT for Architects and Engineers
  • Author(s): Joey Bernal, Bharath Sridhar
  • Release date: January 2023
  • Publisher(s): Packt Publishing
  • ISBN: 9781803240893