NIYANTRA 2013 - Forest Fire Detection Using Optimized Solar - Powered Zigbee Wireless Sensor Networks

[ArunGaneshU]

(Make sure you follow all the 3 steps involved in submission. This is only Step 2 of 3. For details, visit http://bit.ly/16iNfUL)

Contact Information

Name of the College : Dr. N.G.P. Institute of Technology, Coimbatore

Name of the Team Members along with their respective current semester :

1) Arun Ganesh U. (2013 Passed out)

2) Anand M. (2013 Passed out)

3) Arun S. (2013 Passed out)

4) Dinesh M. (2013 Passed out)

5) Mani Bharathi V.V. (7th Semester)

E-Mail Address & Phone Number of the Team Leader : arunganeshu@ieee.org & +919952834685

Name of the Faculty Guide : Mr. R. Karthik

E-Mail Address & Phone Number of the Faculty Guide : karthik.ngpit@gmail.com & +919976311000

Project Information

Project Title: Forest Fire Detection Using Optimized Solar - Powered Zigbee Wireless Sensor Networks

Hardware & Software Used: Hardware from various companies like Atmel, Texas Instruments, ATC Semitec Limited, etc.

Software: LabVIEW from National Instruments, Proteus Design Suite, Matlab & Simulink, com0com, PuTTY, Hyperterminal, Multisim, HAPSIM, AVR Studio 4, ExpressPCB, Debut Video Capture Software, Microsoft Word & Powerpoint, Notepad, and MS Paint.

What challenge/problem are you trying to solve through your application: The challenge is to create a new Forest Fire Detection System which overcomes the disadvantages of two Existing Systems which are explained in the video.

How does your application solves the above mentioned challenge/problem: By reducing the bulkness & cost and by increasing the overall efficiency of the System.

Description of Project:

This is an investigative project done to contribute to the Society in order to prevent Forest Fires. It mainly overcomes the drawbacks of Forest Fire Detection based on Moderate Resolution Imaging from Space by incorporating combined modules from the fields of Sensors, Embedded Systems, Power Electronics and Wireless Communication. Solar energy harvesting system with Maximum Power Point Tracking Algorithm is implemented for the long-run of the System. Detection of Abnormal Prowling and Rain has been added to the Fire Detection System for additional Security in border regions and hilly areas to detect trespassers and to warn about landslides, respectively.

Insert Images Here:

                         Forest Area Module Hardware                        

YouTube Link of Video:http://www.youtube.com/watch?v=aRoekXi5EvA

Insert the Video here:http://www.youtube.com/watch?v=aRoekXi5EvA

[Anand27]

An Early Warning System for Forest Fires, successfully in the global use

This is a terrestrial, digital, remote surveillance system which is capable of observing larger wooded regions, and to analyse, evaluate, link and store the collective data.

Due to its sensitivity, accuracy and reliability the system enables an early recognition of forest fires.

Zigbee is able to evaluate and classify the incoming data in multiple ways, connected to a central station. In the event of a recognized source of fire, it automatically sends out an alarm.

Thus protects entire eco-systems and cultural landscapes.

[arun13]

Pioneering project which involves placing sensor devices to measure the state of the forests at anytime, and prevent forest fires.

[subaashtiru]

Good Work guys....

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[Ramsp]

very innovating project...using zigbee technology for data aquisition from remote place and controlling using labview etc...i really appreciate your work...thank you

[ArunGaneshU]

Thank you!

[Waseem128]

Excellent....