IoT Based System for Alerting Forest Fire and Control of Smuggling

Abstract

The analysis of environmental conditions in real time (such as weather events and polluting gases) could provide relevant data on the environment that could help prevent or detect an emergency situation. Nowadays, IOT (Internet of Things) devices and sensors allow the monitoring of different environmental variables, such as temperature, humidity, pressure and concentrations of pollutant gases, such as carbon monoxide and carbon dioxide. Radical changes and combinations of these variables could indicate the occurrence of adverse weather events that could cause a natural disaster, such as a forest fire. This paper presents an IoT system that can perform a real time control of fire and tree cut events. Fire usually causes serious hazards. Therefore, to prevent catastrophes that occur in industries, buildings, and forest areas, IOT and sensor based fire detection has become an important issue. In this proposed system, sensors and microcontroller are incorporated to detect the hazardous situations. Light and smoke indicate the chances of fire. If the fire level is mild or severe, then it is alerted by using a buzzer. Tree cuting can be detected by using wireless bend sensor. This helps to prevent tree smuggling and protect forest life. An IOT based system is developed and tested for correct working.