Book Image

Industrial Internet Application Development

By : Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli
Book Image

Industrial Internet Application Development

By: Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli

Overview of this book

The Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The growth in the number of sensors used in industrial machinery has led to an exponential increase in data being captured for predictive analytics. Industrial Internet Application Development is a practical guide for developers who want to create applications that leverage the full capabilities of IIoT. You will get started by learning how to develop your first IIoT application and understanding its deployment and security. Once you’re familiar with what IIoT is, you will move on to exploring Edge Development along with the analytics aspect of the IIoT stack. In later chapters, you’ll get to grips with the deployment of IIoT applications on the Predix platform. As you cover these concepts, you’ll be able to identify key elements of the development framework and understand their importance while considering architecture and design for IIoT applications. By the end of this book, you will have the skills you need to deploy IIoT applications on the Predix platform and incorporate best practices for developing fault-tolerant and reliable IIoT systems.

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Table of Contents (13 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
IIoT Fundamentals and Components
IIoT Fundamentals and Components
IIoT fundamentals and components
Summary
2
IIoT Application Architecture and Design
IIoT Application Architecture and Design
IIoT applications – an introduction
IIoT system architecture
The anatomy of our first IIoT application
IIoT/IoT platforms overview
Summary
3
IIoT Edge Development
IIoT Edge Development
Hardware for prototypes
Application-level protocols – HTTP
Application-level protocols – WebSocket
Industrial M2M protocols – Modbus
Industrial M2M protocols – OPC UA
Data management options in Predix
Summary
4
Data for IIoT
Data for IIoT
Data for IIoT
Summary
5
Advanced Analytics for the IIoT
Advanced Analytics for the IIoT
IIoT business use cases and analytics
IIoT analytics types
IIoT analytics – cloud and edge
IIoT data for analytics
IIoT analytics – architecture
Advanced analytics – artificial intelligence, machine learning, and deep learning
Summary
6
Developing Your First Application for IIoT
Developing Your First Application for IIoT
Developing and modeling assets using the S95 standard
Selecting a storage
Time series storage
Creating instances of assets and adding time series data
Understanding the analytics
Deploying your first analytics
Visualizing time series data and charts
Visualizing the outcomes of the analytics as alerts
Summary
7
Deployment, Scale, and Security
Deployment, Scale, and Security
IIoT security practices
IIoT application deployment
IIoT applications at scale
Summary
8
Reliability, Fault Tolerance, and Monitoring IIoT Applications
Reliability, Fault Tolerance, and Monitoring IIoT Applications
Complexity of an IIoT system
Art of building reliable and resilient IIoT applications
The art of building a fault-tolerant IIoT device and edge gateway
Monitoring IIoT applications (edge and cloud)
Summary
9
Implementing IIoT Applications with Predix
Implementing IIoT Applications with Predix
Basics of asset modeling with the Asset service
Developing your first asset model with GE's Predix
Creating instances of assets
Adding Predix time series data to assets
Deploying your first GE Predix analytics
Advanced visualization using GE's Predix web components
Summary
10
Best Practices for IIoT Applications
Best Practices for IIoT Applications
Best practices for API development
Sorting, filtering, searching, and versioning
The power of polyglot programming
Strategies to handle multiple versions of the @scale application
Summary
11
Future Direction of the IIoT
Future Direction of the IIoT
Introduction
Summary
12
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The anatomy of our first IIoT application

We will design our first IIoT application end-to-end architecture using a very lightweight Edge Gateway that checks for any deviation in the temperature data using basic threshold analytics. When the threshold is breached, an alert is sent to the alert service in the cloud for storage and further processing of the alerts:

High level end-to-end architecture of the sample IIoT application with an Edge Gateway which has a basic analytic which sends alerts to the cloud

We will use a node server to design the analytics and use WebSocket as the cloud connectivity. We will connect to the cloud application using Spring Boot with PostgreSQL as the data store. Analytics will be a very simple descriptive analytics deployed in the Edge Gateway that is threshold-based which generates the alerts in the Cloud. The architecture of the sample application...

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