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

What do we mean by environmental monitoring?

Sensors play a critical role in environmental monitoring. They help to measure a quantity and provide a signal, typically electrical, as an output. A sensor can be considered an intersecting coordinate of a two-dimensional graph with two varying parameters, such as temperature and resistance or distance and time. Based on the output, sensors can be further classified as analog (continuous), digital (discrete), or binary (zero or one). With the advancements in silicon nanotechnology and digital electronics, sensors have rapidly evolved, reducing in size, improving in accuracy, methods of sensing and speed, and so on. Integrating the compute, storage, and transmission modules within the sensor unit has blurred the boundaries of the actual capability of the components.

Figure 3.2 generalizes the types of sensors pertinent to the industry with the property as a basis of classification. Each fulfills a specific role in quantifying a manufacturing...