Affiliations: [a] College of Humanities, Minjiang University, Fuzhou, Fujian, China
| [b] School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China
Correspondence:
[*]
Corresponding author. Hao Li, College of Humanities, Minjiang University, Fuzhou, Fujian, China. E-mail:
citybill@163.com.
Abstract: Aiming at the problems of low fire detection accuracy and high false alarm rate of the current intelligent camera fire accident alarm system, a fire accident alarm system based on fuzzy recognition algorithm is designed. By analyzing the structural principle of the fire detection and alarm system, selecting the CO gas, temperature and smoke sensor selection, designing the corresponding fire signal detection circuit, and designing the single-chip system circuit, including the single-chip clock circuit, reset circuit, power supply circuit and A/D conversion circuit design, on the basis of in-depth study of the Bluetooth communication protocol structure, the hardware design of the serial interface circuit of the single-chip microcomputer, PC and Bluetooth module has been completed. The fuzzy recognition algorithm is used to set the input and output, establish the control rule table and reasoning relationship, generate the input and output rule table, preprocess the sensor signal, and finally output the fire alarm model through the fuzzy inference system, so as to realize the fire accident alarm of the intelligent camera. The experimental results show that the fire detection accuracy of the proposed method is high, and can effectively reduce the false alarm rate and false alarm rate of the system.
Keywords: Fuzzy recognition algorithm, fuzzy control, neural network, fire alarm system
