Smart wireless based forest fire prediction and detection system

?The forest fire is dangerous for human being as forest are the main source of producing oxygen so to reduce the forest fire our product will alert the authorities about fire chances in forest so that they can act accordingly. ?Our product will not only predict the chances but will also give

Project Title

Smart wireless based forest fire prediction and detection system

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

•The forest fire is dangerous for human being as forest are the main source of producing oxygen so to reduce the forest fire our product will alert the authorities about fire chances in forest so that they can act accordingly.

•Our product will not only predict the chances but will also give real time monitoring of forest condition.

•Some time culprits try to burn forest for some reasons so our product will sense the smoke and if there is a little bit smoke it will alter the authorities

Project Objectives

•Detect fire using smoke sensors

•Detect Temperature using sensors

•Detect Humidity using sensors

•Detect moisture using sensors

•Detect wind speed using sesnor

•IoT WiFi based real time monitoring using android application

•Real time alert using GSM

•Real time location using GPS

•Prediction using SVM machine learning

Project Implementation Method

•Interfacing of GSM module Neo-6M with Arduino mega.

•Interfacing of GSM Module Sim900a with Arduino mega.

•Connected ESP8266-01s Wi-Fi module with Arduino mega.

•Interfacing of sensors with Arduino mega.(moisture sensor, humidity sensor, smoke sensor, flame sensor).

•Arduino mega interfacing with blynk IoT platform to acquire data for monitoring.

•Connected solar panel and batteries.

•For prediction we Willl use SVM machine learning using python

Benefits of the Project

•The forest fire is dangerous for human being as forest are the main source of producing oxygen so to reduce the forest fire our product will alert the authorities about fire chances in forest so that they can act accordingly.

•Our product will not only predict the chances but will also give real time monitoring of forest condition.

•Some time culprits try to burn forest for some reasons so our product will sense the smoke and flame if there is a little bit smoke or flame it will alert the authorities.

•We will predict the danger area  using our product and will alert the authorities.

•We will focus on the prediction of fire which forest can catch.

•The focus of our project is IoT monitoring of forest.

Technical Details of Final Deliverable

our proejct will contain sensors(humidity,,moisture,smoke.temprature,flame) which will record real time they will be connected to arduino mega the arduino will be coded that if there is little bit smoke or flame in forest it will send alert to authoritie using GSM and also location location will be sent which will tell the exact location . 

our project will consist of SVM machine learning throug which we we will train our project that if the parmeters of humidity, tempratur and mositure sensors are of fire occuring then it will alert authorities that there are chances that forest fire may occur so that authorities can take action before any thing get worse.. our project will have water pump to sprinkle the water on the field so that condiotns get better.....

and all these parameter can also be montiored through IoT app.

Final Deliverable of the Project

Hardware System

Core Industry

Others

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Climate Action, Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com