基于ZigBee的建筑火灾检测系统设计  

Building Fire Detection System Based on ZigBee

作　　者：曾思通[1] 童晓薇[1] Zeng Si-tong;Tong Xiao-wei(Fujian Chuanzheng Communications College,Fujian Fuzhou 350007)

机构地区：[1]福建船政交通职业学院,福建福州350007

出　　处：《电子质量》2020年第10期23-28,共6页Electronics Quality

基　　金：福建省中青年教师教育科研项目(JZ180346,JZ180373)。

摘　　要：为了及时精确检测识别建筑火灾,设计了基于ZigBee的多传感器信息融合的火灾检测系统。系统设计了CO、温度和烟雾检测电路,通过ZigBee无线模块将检测数据传送至STM32f407主控器,通过基于神经网络的融合算法对检测数据进行分析决策。实验结果表明,该系统能够在17s内完成火灾检测,具有较高的检测精度和检测效率。In order to accurately detect and identify building fires in time,a fire detection system based on Zig-Bee multi-sensor information fusion was designed.The CO,temperature and smoke detection circuits were designed in the system,and the detection data was transmitted to the STM32f407 main controller through the ZigBee wireless module,and a Fusion algorithm based on fuzzy neural network was designed to analyze the detection data and decide the test result.The experimental results show that the system can complete fire detection within 17s,and has high detection accuracy and detection efficiency.

关 键 词：火灾检测 ZIGBEE 数据融合 神经网络 stm32f407 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP277[自动化与计算机技术—计算机科学与技术]