- Which of the following technologies is not a neural network technology?
- CNN
- RNN
- LSTNN
- LSTM
- Which of the following is the best definition of digital twins?
- A 3D model of a piece of equipment
- A digital copy of the design project of a piece of equipment
- A digital representation of a piece of equipment
- What is the difference between a physics-based and a data-driven model?
- A physics-based model is based on mathematics, while a data-driven model is based on statistics
- A physics-based model is based on design knowledge, while a data-driven model is driven by data
- A physics-based model is based on rules, while a data-driven model is based on machine learning or deep learning
Hands-On Industrial Internet of Things
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Hands-On Industrial Internet of Things
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Overview of this book
We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).
Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You’ll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you’ll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.
As you progress through the chapters, you’ll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.
By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.
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Current Title:
Hands-On Industrial Internet of Things
Table of Contents (18 chapters)
Preface
Free Chapter
Introduction to Industrial IoT
Understanding the Industrial Process and Devices
Industrial Data Flow and Devices
Implementing the Industrial IoT Data Flow
Applying Cybersecurity
Performing an Exercise Based on Industrial Protocols and Standards
Developing Industrial IoT and Architecture
Implementing a Custom Industrial IoT Platform
Understanding Industrial OEM Platforms
Implementing a Cloud Industrial IoT Solution with AWS
Implementing a Cloud Industrial IoT Solution with Google Cloud
Performing a Practical Industrial IoT Solution with Azure
Understanding Diagnostics, Maintenance, and Predictive Analytics
Implementing a Digital Twin – Advanced Analytics
Deploying Analytics on an IoT Platform
Assessment
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