Dhammadip Mendhe, Mayur Padole, Mohit Jodhe, Swaraj Badole, Rafe Iqbal and Umesh Samarth |
J D College of Engineering and Management, Fetri Nagpur, Maharashtra, India.
Abstract
A forest fire detection system leveraging the capabilities of the Internet of Things (IoT) has emerged as a crucial innovation in modern forest management and wildfire prevention. This system is designed to proactively monitor and detect potential fire outbreaks in real-time by deploying a network of interconnected sensor nodes across forested areas. These nodes collect data on environmental variables such as temperature, humidity, and gas concentrations. Through a wireless communication network, these data are transmitted to a central control station for comprehensive analysis. The heart of the system lies in its sophisticated data processing algorithms that examine the incoming data for anomalies and patterns associated with fire ignition. By applying localized analysis at individual sensor nodes and centralized analysis at the control station, the system effectively filters out false alarms while accurately identifying conditions indicative of a developing fire. Upon detecting such conditions, the system generates instant alerts and notifications to authorised stakeholders, including forest rangers, firefighting teams, and relevant authorities. The advantages of this IoT-based forest fire detection system are substantial. Its early detection capabilities empower rapid response, minimising the potential extent of wildfires and their associated ecological and economic damage. jnisFurthermore, the system’s remote monitoring features enable real-time observation of forest conditions, while the collection of environmental data contributes to ongoing research efforts. The system’s integration into existing emergency response infrastructure enhances coordination among various teams and stakeholders. However, challenges remain in achieving optimal system performance. Ensuring energy efficiency for sensor nodes, maintaining data security, and establishing a reliable communication network are critical factors. Environmental variables and physical obstacles can impact sensor accuracy, warranting careful deployment considerations. The successful implementation of this system requires meticulous design, robust technology, and effective alignment with established emergency management protocols. In conclusion, the IoT-based forest fire detection system stands as a groundbreaking solution to enhance forest fire prevention and management. Through its ability to provide early warnings and facilitate swift responses, it has the potential to substantially mitigate the devastating effects of wildfires on natural ecosystems and human communities.
Keywords: Early warning system, Environmental monitoring, Forest fire detection, Internet of Things (IoT), Remote monitoring, Wildfire prevention.
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