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Hands-On Industrial Internet of Things

You're reading from  Hands-On Industrial Internet of Things

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789537222
Pages 556 pages
Edition 1st Edition
Languages
Authors (2):
Giacomo Veneri Giacomo Veneri
Profile icon Giacomo Veneri
Antonio Capasso Antonio Capasso
Profile icon Antonio Capasso
View More author details

Table of Contents (18) Chapters

Preface 1. Introduction to Industrial IoT 2. Understanding the Industrial Process and Devices 3. Industrial Data Flow and Devices 4. Implementing the Industrial IoT Data Flow 5. Applying Cybersecurity 6. Performing an Exercise Based on Industrial Protocols and Standards 7. Developing Industrial IoT and Architecture 8. Implementing a Custom Industrial IoT Platform 9. Understanding Industrial OEM Platforms 10. Implementing a Cloud Industrial IoT Solution with AWS 11. Implementing a Cloud Industrial IoT Solution with Google Cloud 12. Performing a Practical Industrial IoT Solution with Azure 13. Understanding Diagnostics, Maintenance, and Predictive Analytics 14. Implementing a Digital Twin – Advanced Analytics 15. Deploying Analytics on an IoT Platform 16. Assessment 17. Other Books You May Enjoy

Platforms for digital twins

A digital twins platform is not that much different from the analytics platforms studied in the previous chapters. All it needs is sufficient storage support to save the current status of the model and to manage the life cycle of the digital twin. In other words, digital twins require the model to be tuned initially. They also require the real asset and the digital asset to be synchronized periodically:

The components of digital twins

The platforms that can support digital twins today include AWS, Predix, and Google Cloud Platform (GCP).

AWS

AWS recommends that we use SageMaker as the main platform for ML. With SageMaker, we can define our model to train parameters and hyperparameters. We can also...

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