Intelligent electrical fire warning system design

Lan Yu; Cai-Wei Yang; Zhen-Guo Jia; Guang-Hao You; Zi-Qi Liu; Huan-Huan Zhao

doi:10.1117/12.2671701

28 April 2023 Intelligent electrical fire warning system design

Lan Yu, Cai-Wei Yang, Zhen-Guo Jia, Guang-Hao You, Zi-Qi Liu, Huan-Huan Zhao

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126103X (2023) https://doi.org/10.1117/12.2671701
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

At present, Chinese electrical fire prevention and control is still in the development stage. The existing electrical fire monitoring products have technical defects, the false alarm rate is high, and the monitoring effect on electrical fire is limited. Because of these situations, the microcontroller STM32WLE5CCU6 and the sharp micro power quality chip RN8302B is used as the core, combined with the LSTM neural network, an intelligent front-end device with real-time monitoring of electrical fire data and data depth processing functions are designed, which realizes the monitoring and prediction of an electrical fire. And composed an intelligent electrical fire warning system capable of wireless communication and information interaction with intelligent front-end equipment, LoRa wireless communication, RS485 communication, and cloud platform.

Citation Download Citation

Lan Yu, Cai-Wei Yang, Zhen-Guo Jia, Guang-Hao You, Zi-Qi Liu, and Huan-Huan Zhao "Intelligent electrical fire warning system design", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126103X (28 April 2023); https://doi.org/10.1117/12.2671701

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