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

Summary

We packed a ton into this chapter, providing an introduction and overview of edge computing and building an example to learn firsthand how everything works. More than likely, you are already thinking about your specific scenarios and itching to get started. Let’s take a moment to consider what we have accomplished.

First, we deployed AWS Greengrass to an edge computer or device and then connected it to the AWS cloud to help manage the device. Then, we developed and deployed several components – one of each type of component: a custom-developed component, a public component, and an out-of-the-box Greengrass community component. The way each of those works is slightly different, but they work well together to accomplish our goals. Finally, we tied everything together to request some Modbus data. We queried a remote Modbus slave for the data, and then returned this data and forwarded it to the cloud.

We went beyond the basic HelloWorld example in this chapter...