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Practical Node-RED Programming

You're reading from   Practical Node-RED Programming Learn powerful visual programming techniques and best practices for the web and IoT

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781800201590
Length 326 pages
Edition 1st Edition
Languages
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Author (1):
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Taiji Hagino Taiji Hagino
Author Profile Icon Taiji Hagino
Taiji Hagino
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Node-RED Basics
2. Chapter 1: Introducing Node-RED and Flow-Based Programming FREE CHAPTER 3. Chapter 2: Setting Up the Development Environment 4. Chapter 3: Understanding Node-RED Characteristics by Creating Basic Flows 5. Chapter 4: Learning the Major Nodes 6. Section 2: Mastering Node-RED
7. Chapter 5: Implementing Node-RED Locally 8. Chapter 6: Implementing Node-RED in the Cloud 9. Chapter 7: Calling a Web API from Node-RED 10. Chapter 8: Using the Project Feature with Git 11. Section 3: Practical Matters
12. Chapter 9: Creating a ToDo Application with Node-RED 13. Chapter 10: Handling Sensor Data on the Raspberry Pi 14. Chapter 11: Visualize Data by Creating a Server-Side Application in the IBM Cloud 15. Chapter 12: Developing a Chatbot Application Using Slack and IBM Watson 16. Chapter 13: Creating and Publishing Your Own Node on the Node-RED Library 17. Other Books You May Enjoy Appendix: Node-RED User Community

Making a sample flow

In this section, we will create these two sensor data output flows in the Node-RED flow editor.

You will use the sensor modules you have prepared to collect data and create a sample flow to visualize it on Node-RED. By using two different sensor modules, we can learn the basics of data handling in Node-RED.

Use case 1 – light sensor

The first is a light sensor. Let's create a flow (application) that detects light and outputs the value detected by a fixed-point observation to a log:

Figure 5.13 – Use case 1 – getting light sensor data

Connect the light sensor module to the Raspberry Pi and use the Node-RED flow editor on the Raspberry Pi to output the data obtained as a standard output.

Use case 2 – temperature/humidity sensor

The second one is a temperature/humidity sensor. Let's create an application (flow) that detects temperature and humidity and outputs the value detected by a fixed...

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