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

Collecting data in the cloud

Now that we have data flowing into our AWS account, we can process and store that data practically. Figure 4.11 illustrates the process and services we will use for this part of the architecture:

Figure 4.11 – Capturing data in AWS

Figure 4.11 – Capturing data in AWS

We will look at two simple ways to start collecting and processing data, putting together the initial stages of a data lake and storing data persistently and efficiently in a simple time series database for quick and easy visualization.

Cloud data ingestion

As you have seen, getting data using LoRaWAN is not very difficult. Once the gateways and sensors are created and configured, the data will flow automatically. Remember that we took two paths to show that there are alternatives available for this option. One option was using AWS IoT Core for LoRaWAN directly to send data. This option works out of the box once things have been set up.

Another option was to configure and use TTN...