You're reading from Hands-On Industrial Internet of Things Build robust industrial IoT infrastructure by using the cloud and artificial intelligence

Product type Paperback

Published in Nov 2024

Publisher Packt

ISBN-13 9781835887462

Length 530 pages

Edition 2nd Edition

Concepts

Industrial Internet of Things

Authors (2):

Antonio Capasso

Giacomo Veneri

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Table of Contents (21) Chapters

Preface

1. Part 1:Industrial IoT

2. Chapter 1: Introduction to Industrial IoT FREE CHAPTER

3. Chapter 2: Understanding the Industrial Process and Devices

4. Chapter 3: Industrial Data Flow and Devices

5. Chapter 4: Implementing the Industrial IoT Data Flow

6. Chapter 5: Applying Cybersecurity

7. Chapter 6: Performing an Exercise Based on Industrial Protocols and Standards

8. Part 2:Industrial IoT Architecture

9. Chapter 7: Developing Industrial IoT and Architecture

10. Chapter 8: Implementing a Custom Industrial IoT Platform

11. Chapter 9: Building an AWS Industrial IoT Solution

12. Chapter 10: Implementing an Industrial IOT Data Flow with AWS

13. Chapter 11: Performing a Practical Industrial IoT Solution with Azure

14. Chapter 12: Implementing an Industrial IoT Data Flow with Azure

15. Part 3:Industrial Artificial Intelligence of Things

16. Chapter 13: Performing Diagnostic, Maintenance, and Predictive Analytics

17. Chapter 14: Implementing a Digital Twin – Advanced Analytics

18. Chapter 15: Deploying an Analytics Model

19. Index

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Implementing a Custom Industrial IoT Platform

In Chapter 7, we described the general flow of processing IIoT data. In this chapter, we are going to update our flow, using the most common open source technologies to develop our platform from scratch. These include the following:

InfluxDb as a time-series database (TSDB)
Neo4j as an asset database
Mosquitto to collect data and adapt
Airflow as an analytics platform
Grafana to visualize data

The purpose of our exercise is not to develop a real I-IoT platform but, instead, to discuss some key topics related to IIoT, and to introduce various technologies that we can use in our on-premises IIoT stack. At the end of this chapter, we will compare this solution with other open source solutions, such as Kaa IoT and Eclipse IoT.

In this chapter, we will cover the following topics: