| Description |
1 online resource |
| Summary |
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. |
| Contents |
Cover -- Title Page -- Copyright and Credits -- Contributors -- About the reviewer -- Table of Contents -- Preface -- Part 1: An Introduction to Industrial IoT and Moving Toward Industry 4.0 -- Chapter 1: Welcome to the IoT Revolution -- Technical requirements -- Industry 4.0 and the digitalization of industry -- A very brief history lesson -- The first Industrial Revolution -- The second Industrial Revolution -- The third Industrial Revolution -- Moving forward and the fourth Industrial Revolution -- How IoT can support Industry 4.0 at scale -- Sensor technology -- IT versus OT |
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Industry 4.0 and organizational alignment -- You can get there from here -- Visibility is everything -- Business driving innovation -- The convergence -- IT, OT, and management working together -- Reactive and preventative maintenance -- Condition-based maintenance -- Predictive maintenance -- Approach with caution -- Leveraging good architecture to drive progress -- Observability -- Repeatability lowers cost -- Summary -- Chapter 2: Anatomy of an IoT Architecture -- Technical requirements -- Architectural thinking -- Reference models -- Architectural components for IoT -- Designing in layers |
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Defining the layers -- Bringing it all together -- Defining standards -- Basic project review recommendations -- Setting expectations -- Summary -- Chapter 3: In-Situ Environmental Monitoring -- Manufacturing in the bigger context -- What do we mean by environmental monitoring? -- Why is monitoring important? -- Integration patterns and protocols -- Getting data from the field -- Data drives everything -- a common use case -- OEE for a legacy plastic manufacturer -- Adventures of a humble data packet -- Wired versus wireless -- Wireless network evaluation -- What network should you choose? |
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Wireless gateways versus Intelligent edge devices -- Summary -- Chapter 4: Real-World Environmental Monitoring -- Technical requirements -- Exploring wireless networks and protocols -- Standardizing your approach -- Data capture architecture -- Understanding gateway and network setup -- Setting up a TTN IoT gateway -- Setting up Milesight UG65 -- Configuring and deploying sensors -- Connecting the AM319 multi-sensor -- Collecting data in the cloud -- Cloud data ingestion -- Data transformation and storage layer -- Setting up a basic dashboard -- Putting the layers together -- Summary |
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Part 2: IoT Integration for Industrial Protocols and Systems -- Chapter 5: OT and Industrial Control Systems -- Technical requirements -- Revisiting the basics of manufacturing -- Understanding industrial control systems -- Exploring PLCs -- History and evolution of PLCs -- Deconstructing PLCs -- PLC programming -- PLCs versus microcontrollers -- The industrial communication of the future -- PROFINET and OP CUA -- Single Pair Ethernet -- Advanced Physical Layer -- Time-Sensitive Networking -- Industrial 5G -- Mapping your integration strategy -- Differentiating OT cybersecurity from IT |
| Subject |
Internet of things -- Industrial applications.
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Architecture -- Computer-aided design.
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Architecture -- Data processing.
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Engineering -- Computer-assisted instruction.
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Engineering -- Data processing.
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Internet des objets -- Applications industrielles. |
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Architecture -- Conception assistée par ordinateur. |
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Architecture -- Informatique. |
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Ingénierie -- Enseignement assisté par ordinateur. |
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Ingénierie -- Informatique. |
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Architecture -- Data processing |
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Engineering -- Computer-assisted instruction |
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Engineering -- Data processing |
| Other Form: |
Print version: 180324089X 9781803240893 (OCoLC)1346944000 |
| ISBN |
9781803246192 (electronic bk.) |
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1803246197 (electronic bk.) |
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