Abstract
This paper designs a fire alarm system for agricultural greenhouses based on ZigBee sensor network and GSM communication technology. The system monitors the environmental conditions in the greenhouse in real time through a sensor network, and can promptly remind relevant personnel in two ways: mobile phone text messages and emergency fire alarms. At the same time, the irrigation system of the agricultural greenhouse is used to physically extinguish the fire, making the fire treatment more efficient and real-time, and reducing the damage of the fire to the agricultural greenhouse. In order to improve the probability of flame detection, dual-band infrared detection signals are used and the BP neural network fusion algorithm is used to achieve dual-band signal fusion to compensate for measurement errors such as illumination.
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Acknowledgements
This work was supported by the Youth scientific research and innovation team of Guangxi Normal University of science and Technology (No. GXKS2020QNTD02), Research on the Extraction Algorithm of Field Navigation Line in Visual Navigation of Mountain agricultural robot (No. 2020KY23023), Laibin City Scientific Research and Technology Development Plan Project “Research and application demonstration and promotion of sugarcane breeding based on artificial intelligence” (No. 20211216121424482) and Guangxi Science and Technology Plan Project “Key Technologies and Industrial Cluster Applications for Manufacturing Human Machine Intelligent Interactive Touch Terminals” (No. Guike AA21077018).
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Xie, Y., Du, X., Wei, L. (2023). A Fire Alarm System for Agricultural Sheds Designed with Zigbee. In: Jia, Y., Zhang, W., Fu, Y., Wang, J. (eds) Proceedings of 2023 Chinese Intelligent Systems Conference. CISC 2023. Lecture Notes in Electrical Engineering, vol 1090. Springer, Singapore. https://doi.org/10.1007/978-981-99-6882-4_59
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DOI: https://doi.org/10.1007/978-981-99-6882-4_59
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