An IoT based Real Time Forest Fire Detection & Alerting System Using LoRa Communication

In recent years, the incidence of forest fires has dramatically increased, causing extensive damage to ecosystems and property, and endangering human lives. To address this critical issue, we propose an IoT-based real-time forest fire detection and alerting system utilizing LoRa communication technology. This system integrates various sensors and modules, including fire sensors, gas sensors, sound sensors, buzzers, GPS, LCD, Arduino,  LoRa TX, Node MCU, and GSM, to provide a comprehensive and reliable fire detection mechanism. The system's core components are designed to detect early signs of forest fires. Fire sensors detect the presence of flames, gas sensors monitor the emission of combustion gases, and sound sensors capture the noise associated with fire outbreaks. These sensors are connected to an Arduino, which processes the data and triggers an immediate alert through a buzzer and updates the LCD display. The GPS module provides the precise location of the detected fire, enhancing the response accuracy. The processed data is then transmitted using LoRa communication to a remote receiving unit comprising a Node MCU and GSM module. The Node MCU, acting as a gateway, uploads the sensor data to the ThingSpeak IoT platform, allowing for real-time monitoring and analysis. The GSM module sends SMS alerts to predefined mobile numbers, ensuring prompt notification to relevant authorities and facilitating swift action.

Keywords: ARDUINO, LORA, NODEMCU, GPS, GSM