Node red for Raspberry Pi
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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.
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Node red for 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
- 20. A BIG THANK YOU