IoT with Raspberry pi using node-red This PPT includes steps for analyzing your sensor data on Thingspeak, twitter, IBM Watson IoT demo Cloud and cayenne cloud by myDevices.

1. node-red
with Raspberry Pi

2. What is Node-red?
Node-Red in its simplest form is an open
source visual editor for wiring the internet
of things produced by IBM.

3. More..
Node-RED is a visual tool for wiring
the Internet of Things (IoT).
Node-RED is platform-independent.

4. Node-RED takes care of the technicalities and
lets you concentrate on the logic of your
workflow. !
Traditional IoT development can be very technical:
Access to the GPIO and other hardware requires
skills in C or assembler, output of data to web
services or sending tweets and emails requires the
use of complex APIs.

5. While most programming in Node-RED is
done visually using pre-defined functions
(“nodes”), any additional functionality can
be added in JavaScript.

6. How to Start with Raspberry Pi?
Desktop: Menu->Programming->Node-RED
Visit http://127.0.0.1:1880 in browser and get
your dashboard.

8. Basic Nodes

9. Flow 1: Twitting sensor data
Step 1 Drag and drop rpi input node to flow dashboard
Step 2 Double click to configure it and select the pin number
Step 3 Drag and drop twitter output node from social
Step 4 Double click the node to configure it, authenticate your
twitter account
Step 5 Connect both the nodes
Step 6 Deploy the project by clicking on the top right button Deploy
Step 7 Check your tweets on your twitter account, done by sensor.

10. Installing Thingspeak Node
Step 1 Stop the node-red running server by closing it or by “stop
node-red”
Step 2 Use “sudo npm install node-red-contrib-thingspeak” to install
thingspeak node
Step 3 Start node-red server, you will find thingspeak node in
functions at the end of the list
Step 4 Visiting thingspeak.com and signup for an account
Step 5 Create a channel and get Write API Key

11. Flow 1: Uploading sensor data on thingspeak
Step 1 Drag and drop rpi input node to flow dashboard
Step 2 Double click to configure it and select the pin number
Step 3 Drag and drop thingspeak node from function
Step 4 Double click the node to configure it, enter your write API
Key, Don’t forget to enter the field id as “1”
Step 5 Connect both the nodes
Step 6 Deploy the project by clicking on the top right button Deploy
Step 7 Check your private view in your thingspeak channel

12. Flow 1: IBM Watson IoT Demo
Step 1 Drag and drop rpi input node to flow dashboard
Step 2 Double click to configure it and select the pin number
Step 3 Use “Sudo npm install node-red-contrib-ibm-watson-iot
” to install the node
Step 4 Double click the node to configure it, select quickstart mode,
click on the edit symbol(pencil) next to it to get the dashboard.
Step 5 Connect both the nodes
Step 6 Deploy the project by clicking on the top right button Deploy
Step 7 Check your on the IBM Watson iot dashboard opened.

13. node-red Shortcodes for repositoreis
node Cmd command
Google Chart Sudo npm install node-red-contrib-googlechart
IBM IoT App Sudo npm install node-red-contrib-scx-ibmiotapp
IBM Watson IoT Sudo npm install node-red-contrib-ibm-watson-iot
ThingSpeak Sudo npm install node-red-contrib-thingspeak
Watson Sudo npm install node-red-node-Watson
MySQL Sudo npm install node-red-node-mysql
Alexa Sudo npm install node-red-contrib-alexa
Facebook Sudo npm install node-red-contrib-facebook
Arduino Sudo npm i node-red-node-Arduino

14. Cayenne Cloud by mydevices

15. Cayenne is the first of its kind drag and drop IoT project
builder that empowers developers to quickly create and
host their connected device projects.
Cayenne was designed for the Internet of Things.
It can control hardware remotely, it can display sensor
data, it can store data, analyze and do many other cool
things.

16. Connecting your Raspberry Pi
1. Signup for a free Account on Cayenne Cloud
2. Once you’re signed up you will need to register/connect the Pi up to the
account you just created. To do this simply copy the 2 command lines shown
after you sign up. Enter these into the terminal for your Pi. (These files are
unique for every new install)
3. It will take a few minutes to install onto your Pi depending on how fast your
internet connection is. The web browser or app should automatically update
with information on the installation process.

17. Onceinstalledthedashboardwill displayandshouldlook like something
below.

18. Controlling LED
1. Go to add new in the upper left corner of the dashboard
2. Now search for digital output and select it
3. For this device select your Pi, widget type is button, icon can be whatever
you want, and then select integrated GPIO. Finally channel is the pin/channel
that our LED is connected to. For this example it is pin #17. (This is the GPIO
numbering of the pins)
4. Now press the add sensor button
5. You can now turn the GPIO pin high & low from the dashboard and also use
it in a trigger

19. Explore more..
https://www.hackster.io
https://pimylifeup.com
http://codearduino.com
And google..

20. A BIG THANK YOU