1. IoT with Arduino and Raspberry Pi
By,
Team Members Project Mentor:
Abhishek Kumar – NIT Durgapur Manas Ranjan Das
Aman Agarwal – NIT Durgapur
Mayank Dixit – NIT Patna Project Manager:
Riya Kaur Labana – BITS Goa Rajesh Kushalkar
Savita Burnwal – NIT Rourkela
Shivam Saxena - NIT Durgapur

2. What is IoT?
Why we need it?

3. Overview of Project Raspberry Pi(Server) Arduino Dashboard Sensor Node
Visualization
XBee
XBee
Raspberry Pi(Server)
Arduino
Dashboard
Actuation
Analysis
Sensor Node
ESP-8266

4. Introduction to Sensors Used

5. Serial Communication Using XBee
Xbee : Xbees are the tiny modules that are used to provide serial communication and end point connectivity to the devices.

6. Configuring Xbee as END/ Router and Coordinator Using XCTU Software
Configuration Using Arduino UNO
Configuration Using USB Port

7. Set up Sending data from Arduino to Raspberry Pi

8. Set up sending Pulse sensor data
The set up is shown below:

9. Output obtained on Thingspeak:

10. ESP 8266
ESP-8266 is a Wi-Fi module that comes equipped with either hosting an application or offloading Wi-Fi networking Functions.

11. ESP-8266 can be programmed using:
Arduino IDE
Node LUA Firmware

12. Set up to send sensor data to Raspberry Pi using AT commands
The Set up is shown below:

13. The output on our Dashboard:

14. ESP-NodeMCU
To program in NodeMCU , Lua firmware needs to be uploaded to the ESP-12E development Board. It can also be programmed using Arduino IDE.

15. Actuation Set up using ESP-NodeMCU

16. Actuation using Dashboard

17. Client Side(Dashboard)
Flow of Data:
Database
Data from sensors
NodeJs Server
Client Side(Dashboard)
Actuation
Data Analysis
Data Visualization

18. Technologies Used
MySQL
Node.JS Express Framework
Socket.IO

19. 4. Chart Libraries for Data Visualization
EON Charts- For rendering real time charts.
High Charts – For rendering static charts.

20. Why IoT needs Hadoop ?
Traditional systems fail to process large amount of data(BIG data).
Large Amount of data needs high processing power.
RDBMS do not support unstructured data and not suitable for data analysis.

21. Working of Hadoop Module
Data is collected in MySQL for a period of 1 day.
Data received is processed by using Mapper-Reducer Scripts
Csv file is sent to client of cluster
Hadoop Cluster
Data is converted to csv format file
Output data is sent back to IOT server
DashBoard
Collected data in MySQL is deleted.
IOT Server
Output data is used by Chart Libraries

22. Conclusion :
Transferred Sensor data to Dashboard using both Xbee and ESP-8266 ( using both AT commands and NodeMCU).
Rendered real time charts on the dashboard using different chart libraries.
Data Analyzed using Hadoop.
Actuated the devices through Dashboard.

23. Demo