Design and Implementation of an Unmanned Fire Detection and Extinguishing System for Greenhouse
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Abstract
Greenhouse fires pose severe risks due to enclosed structures, dense equipment, and rapid flame propagation. To address the limitations of manual inspection and fixed monitoring devices, this paper presents the design and implementation of an unmanned fire detection and extinguishing system for greenhouses, based on an STM32 microcontroller with Raspberry Pi co-processing. The system integrates flame sensors, temperature–humidity sensors, LiDAR, and a high-definition camera, mounted on a wheeled platform with a rotatable extinguishing module. It supports autonomous patrol, manual control, and point-to-point extinguishing modes. Wireless video and data transmission enable real-time fire monitoring and remote command. Experimental results demonstrate flame recognition accuracy exceeding 95% within 10 m, positioning error below ±0.5 m, and fire response time under 8 seconds. Compared with conventional methods, the proposed system achieves faster response, broader coverage, and stronger adaptability, showing great potential for intelligent greenhouse fire prevention.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright @2021 Engineering Transactions
Faculty of Engineering and Technology
Mahanakorn University of Technology
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