Book Image

Industrial IoT for Architects and Engineers

By : Joey Bernal, Bharath Sridhar
Book Image

Industrial IoT for Architects and Engineers

By: Joey Bernal, Bharath Sridhar

Overview of this book

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.
Table of Contents (19 chapters)
1
Part 1:An Introduction to Industrial IoT and Moving Toward Industry 4.0
6
Part 2: IoT Integration for Industrial Protocols and Systems
11
Part 3:Building Scalable, Robust, and Secure Solutions

In-Situ Environmental Monitoring

When we think of industry, we often envision factories or large processing plants; however, industry is more than just manufacturing. We can expand our definition to consume other branches of the economy and the production of materials or goods. In addition, service classes of industry can also be considered. In most cases, digitizing these environments and transitioning to a data-driven approach can improve operations and efficiency for many everyday processes and activities. And finally, there are just remote and hard-to-reach places where instrumentation and monitoring are useful (think cold chain management).

Before we delve into manufacturing and machine monitoring, we want to look at monitoring solutions more holistically. In this chapter, we will explore several common industries and use cases for environmental data collection, focusing on the approach and the ultimate value we can derive from our data.

In this chapter, we are going to...