MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202541029746 A) filed by Moumita Roy; Mounika A; Nandan Kumar R; and Cmr Institute Of Technology on March 28, 2025, for A Predictive Fire Spread Model For Early Forest Fire Detection And Prevention System Utilizing Ai-Powered Drones And Iot Sensors.
Inventors include Moumita Roy; Mounika A; Nandan Kumar R; and Cmr Institute Of Technology.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The invention provides a predictive fire spread model for early forest fire detection and prevention using AI-powered drones and IoT sensors. The system continuously monitors environmental parameters such as temperature, humidity, wind speed, and soil moisture. A central data processing system aggregates real-time data from drones and sensors, running it through a machine learning1based predictive model to forecast fire spread. The system sends early alerts to firefighting teams and offers real-time visualizations of fire propagation, allowing for timely interventions and resource allocation. Key features of this invention include: 1. Predictive Fire Spread Model: The heart of the system is the predictive model, which forecasts fire spread based on real-time environmental data. The model comprises: Machine Learning Algorithms: The model is trained using supervised learning methods on historical forest fire data. Key algorithms used include: Random Forest: Predicts fire spread by analyzing environmental variables like temperature, wind speed, and vegetation density. Convolutional Neural Networks (CNNs): Process aerial images to detect fire perimeters and identify hotspots. Recurrent Neural Networks (RNNs): Ideal for predicting the temporal progression of fire spread based on sequential environmental data. Real-Time Inputs: Environmental conditions from IoT sensors and drone data are used to predict fire risk and potential spread areas in real-time. Fire Spread Map: A dynamic visualization tool displaying the predicted fire spread across a geographical map. The system offers real-time updates, allowing firefighting teams to track fire evolution and deploy resources accordingly. 2. Fire Detection and Alert System: Early Detection: The system monitors the forest for potential ignition points by continuously analyzing heat and environmental conditions. The moment a fire is detected, the system triggers early alerts. Real-Time Alerts: Authorities and firefighting teams receive real-time alerts through SMS, email, or mobile applications. The alerts include information about the fire's location, spread prediction, and recommended containment strategies. 3. Fire Containment Strategy Simulation: The system provides simulations for different firefighting strategies. By adjusting inputs such as wind speed, terrain, and firefighting resource placement, the system helps authorities evaluate the best approach to contain and extinguish the fire
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