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Industrial Internet Application Development

You're reading from   Industrial Internet Application Development Simplify IIoT development using public cloud and native cloud services

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781788298599
Length 412 pages
Edition 1st Edition
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Authors (4):
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Veera Kishore Reddipalli Veera Kishore Reddipalli
Author Profile Icon Veera Kishore Reddipalli
Veera Kishore Reddipalli
Alena Traukina Alena Traukina
Author Profile Icon Alena Traukina
Alena Traukina
Jayant Thomas Jayant Thomas
Author Profile Icon Jayant Thomas
Jayant Thomas
Prashant Tyagi Prashant Tyagi
Author Profile Icon Prashant Tyagi
Prashant Tyagi
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Toc

Table of Contents (13) Chapters Close

Preface 1. IIoT Fundamentals and Components FREE CHAPTER 2. IIoT Application Architecture and Design 3. IIoT Edge Development 4. Data for IIoT 5. Advanced Analytics for the IIoT 6. Developing Your First Application for IIoT 7. Deployment, Scale, and Security 8. Reliability, Fault Tolerance, and Monitoring IIoT Applications 9. Implementing IIoT Applications with Predix 10. Best Practices for IIoT Applications 11. Future Direction of the IIoT 12. Other Books You May Enjoy

Developing Your First Application for IIoT

In this chapter, you will learn about the S95 standard (https://www.isa.org/isa95/) and how it applies to the exchange of asset data. We also provide an overview of databases to store asset data and a comparison of time series storage. Then, we demonstrate how to build a Node.js application that simulates the reading of time series data from sensors and how to enable analytics and visualizations of the data reads. Finally, we provide instructions on configuring Grafana alerts with visualizations, and email and Slack notifications about database values exceeding limits.

This chapter covers the following topics:

  • S95 standard and exchange of asset data according to the S95 standard
  • Choosing a database management system to store asset data
  • Comparison of the most common time series storage
  • Using InfluxDB as a time series storage
  • Building...
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