Forest Fire Detection System

Gurjeet Singh; Abhishek Singh; Aman Kumar Patel; Ankita Paul; Haiqua Naaz; Md Araib Ashif; Nilava Bepari

Abstract

The IOT industry is rapidly growing in the current scenario. Each one of us now understands the significance of Internet of Things. At present, it is being used in almost all industries making our lives a bit easier. Forest fires have become a massive threat across the globe, causing numerous negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are among the consequences of such destruction. Sadly, a higher percentage of forest fires occur due to human activities. Therefore, to minimize the catastrophe caused by forest fires, there is a need to detect them in their initial stage. This paper study proposes a system and methodology that may be used to detect forest fires at the initial phase using IoT. This paper study emphasizes detecting forest fires as early as possible by measuring various parameters which can lead to forest fires. An IoT-based forest fire detection system is suggested in this paper study to detect fires by monitoring values through sensors like the DHT22 temperature and Humidity sensor, MQ5 Smoke Sensor, Capacitive soil moisture sensor, and Flame sensor. The values are retrieved from the sensor through a Wi-Fi-enabled microcontroller (NodeMCU) and uploaded to the cloud. When these values reach a certain threshold, a message or a call is triggered and received by the user. This approach can potentially save lives or at least prompt the implementation of safety measures. The main aim of this paper study is to propose a system that can detect potential fire hazards at the earliest possible stage, thus preventing the occurrence of horrific wildfires. Our project has the potential to predict and detect fires, sending notifications to responsible authorities for immediate action before it is too late to control the forest fire.

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