MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641055047 A) filed by Kalasalingam Academy Of Research And Education on April 30, 2026, for Ai Powered Lora-Based Low Power Forest Fire Early Detection And Intelligent Communication System Using Pso -Optimized Mesh Architecture (pyrosentinel).
Inventors include Harishkumaran V; Aarthi. V. P. M. B.; Ramesh M; Mohamed Abrar S K; Deepak M; and Dheepak S.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: itle: AI-POWERED LoRa-BASED LOW POWER FOREST FIRE EARLY 5 DETECTION AND INTELLIGENT COMMUNICATION SYSTEM USING PSOOPTIMIZED MESH ARCHITECTURE (PYROSENTINEL) This invention relates to an AI-Powered LoRa-Based Low Power Forest Fire Early Detection and Intelligent Communication System Using PSO-Optimized Mesh Architecture (PyroSentinel). It typically includes a ESP32-Based Sensor Nodes (1), a 10 Multi-Sensor Data Fusion Module (2), a GPS Geolocation Module (3), a LoRa RA-02 Mesh Transceivers (4), a PSO Mesh Routing Optimizer (5), a Central LoRa Hub Receiver (6), an Offline Fog Computing Server (7), a Machine Learning Fire- _ Probability Engine (8), a PSO Evacuation Path Finder (9), a Web Dashboard & Mobile SOS Application (10). The primary advantage of PyroSentinel is its ability to provide 15 fully autonomous, ignition-stage fire detection and intelligent evacuation routing in remote, internet-denied areas at a fraction of the cost of commercial alternatives through the synergistic integration of PSO-optimized LoRa mesh networking and offline Fog-layer AL The PyroSentinel architecture is highly adaptable for industrial hazardous gas leak detection, remote oil and gas pipeline integrity monitoring, urban 20 air-quality sensing, and off-grid disaster management for floods or landslides in internet-denied environments. Figure 4. Shows the Conceptual Design of Forest Fire Detection Unit with Integrated Sensors and Power System.
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