Node-RED is fun little tool from IBM Research to "wire up the IoT". You will use the JsonServer application to interface Node-RED to your SmartMesh IP network.

Overview of Node-RED

Node-RED is fun tool from IBM Research to "wire up the IoT". It's a little program you launch of your computer, which allows you link inputs (sensors, etc.) to outputs (actuators, files, Twitter feeds, etc) through a web-based graphical interface.

Setup

Installing Node-RED

The first step is to install Node-RED.

• First, install Node.js. There a number of options. On a Windows machine, it just means downloading an installer and clicking through the default installation options.

• Verify Node.js is installed by entering the following command (npm is the "node package manager", part of Node.js)
  
  

C:\Users\twatteyne>npm --version
2.15.9

• Install Node-RED through npm:

npm install -g --unsafe-perm node-red

• Start Node-RED:

C:\Users\twatteyne>node-red


Welcome to Node-RED
===================

1 Sep 15:02:04 - [info] Node-RED version: v0.14.6
1 Sep 15:02:04 - [info] Node.js  version: v4.5.0
1 Sep 15:02:04 - [info] Windows_NT 6.1.7601 x64 LE
1 Sep 15:02:04 - [info] Loading palette nodes
1 Sep 15:02:05 - [warn] ------------------------------------------------------
1 Sep 15:02:05 - [warn] [rpi-gpio] Info : Ignoring Raspberry Pi specific node
1 Sep 15:02:05 - [warn] [tail] Not currently supported on Windows.
1 Sep 15:02:05 - [warn] ------------------------------------------------------
1 Sep 15:02:05 - [info] Settings file  : C:\Users\twatteyne\AppData\Roaming\npm\
node_modules\node-red\settings.js
1 Sep 15:02:05 - [info] User directory : \Users\twatteyne\.node-red
1 Sep 15:02:05 - [info] Flows file     : \Users\twatteyne\.node-red\flows_HDC_SW
01.json
1 Sep 15:02:05 - [info] Creating new flow file
1 Sep 15:02:05 - [info] Starting flows
1 Sep 15:02:05 - [info] Started flows
1 Sep 15:02:05 - [info] Server now running at http://127.0.0.1:1880/

• Point your browser to http://127.0.0.1:1880/ to see the Node-RED web interface:

Running the JsonServer application

This application is part of the SMSDK. To start it, double-click on JsonServer.py.

Starting your network

We assume that you have a SmartMesh IP manager connected to the computer which runs the JsonServer application, and a couple of motes already in the network.

Interact with your SmartMesh IP nodes using Node-RED!

In this section, we will create a number of Node-RED flows to interact with your SmartMesh IP network directly from Node-RED!

Retrieve the status of the JsonServer

Create a flow in Node-RED to issue the following HTTP request:

• What is the response from the manager?

  Info
  icon false title Answer 31.1

List the available serial ports

Use Node-RED to issue the following HTTP request:

• What is the response from the manager?

  Info
  icon false title Answer 31.2

Connect to your SmartMesh IP Manager

Use Node-RED to issue the following HTTP request:

• After you issue this command, retrieve the status of the manager. What is the status of your manager?

  Info
  icon false title Answer 31.3

List operational motes

Use Node-RED to issue the following HTTP request:

• What is the response from the manager?

  Info
  icon false title Answer 31.4

Blink LEDs on motes

Use Node-RED to issue the following HTTP request:

• What is the configuration of the "LED on" widget?

  Info
  icon false title Answer 31.5

• What is the configuration of the "LED off" widget?

  Info
  icon false title Answer 31.6

• What is the configuration of the "http request" widget?

  Info
  icon false title Answer 31.7

Display temperature readings

Use Node-RED to receive the following HTTP requests

Add a function so the debug console prints only the temperature values received, in C.

• What is the configuration of the "function" widget?

  Info
  icon false title Answer 31.8

A little control loop!

Install the following control loop: set the LED of one mote iif the temperature measured by the other mote is larger than 20C, clear otherwise:

MQTT integration!

MQTT allows you to coordinate two independents flows, possibly running on different computers.

For that, create two flows: