Book Image

Practical Node-RED Programming

By : Taiji Hagino
5 (1)
Book Image

Practical Node-RED Programming

5 (1)
By: Taiji Hagino

Overview of this book

Node-RED is a free and open source flow-based programming tool used to handle IoT data that allows programmers of any level to interconnect physical I/O, cloud-based systems, databases, and APIs to build web applications without code. Practical Node-RED Programming is a comprehensive introduction for anyone looking to get up to speed with the Node-RED ecosystem in no time. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will help you to become well versed in the foundations of Node-RED. You’ll learn how to use Node-RED to handle IoT data and build web applications without having to write complex code. Once you’ve covered the basics, you’ll explore various visual programming techniques and find out how to make sample flows as you cover web development, IoT development, and cloud service connections, and finally build useful real-world applications. By the end of this book, you’ll have learned how to use Node-RED to develop a real-world application from scratch, which can then be implemented in your business.
Table of Contents (19 chapters)
Section 1: Node-RED Basics
Section 2: Mastering Node-RED
Section 3: Practical Matters

Chapter 10: Handling Sensor Data on the Raspberry Pi

In this chapter, we will learn how the processing of data from an edge device takes place in the Internet of Things (IoT) using Node-RED. We will not only cover data handling but also sending data to a server application from an edge device. For the device, I would like to use a Raspberry Pi. After completing the tutorials in this chapter, you will be able to handle sensor data acquired by edge devices.

Let's get started with the following four topics:

  • Getting sensor data from the sensor module on the Raspberry Pi
  • Learning the MQTT protocol and using an MQTT node
  • Connecting to an MQTT broker
  • Checking the status of data on localhost