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Industrial Internet Application Development

By : Traukina, Thomas, Tyagi, Reddipalli

4.6 (5)

Buy this Book

Industrial Internet Application Development

4.6 (5)

By: Traukina, Thomas, Tyagi, Reddipalli

Buy this Book

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.

Preface

Who this book is for

What this book covers

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Free Chapter

IIoT Fundamentals and Components

IIoT fundamentals and components

Summary

IIoT Application Architecture and Design

IIoT applications – an introduction

IIoT system architecture

The anatomy of our first IIoT application

IIoT/IoT platforms overview

Summary

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

Data for IIoT

Summary

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

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

Deployment, Scale, and Security

IIoT security practices

IIoT application deployment

IIoT applications at scale

Summary

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

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

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

Future Direction of the IIoT

Introduction

Summary

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Application-level protocols – WebSocket

In this section, we will try to build a simple IoT app for sending data from an XD-80 light sensor module to a receiver device, using a Raspberry Pi hub and the WebSocket protocol:

Data flow from an XD-80 sensor to a receiver device

WebSocket is most widely used in the case that one needs to enable fast transfer of real-time data. The protocol allows for two-way interaction between a client and a server, and for streaming multiple messages using the same TCP connection, which lowers the communications overhead.

In the following table, you can find a more detailed description of the protocol to understand whether it is suitable for your needs:

Key	Value
Open source	Yes
The OSI layer	Application
Data types	String
Limitations	Not suitable for large amounts of binary data
Possible operations	Send...