复合型智能火灾探测器的设计与研究  

Design and Research of Compound Intelligent Fire Detector

作　　者：龚伟[1] 

机构地区：[1]湖南文理学院物理与电子科学学院,湖南常德415000

出　　处：《低压电器》2009年第24期25-28,共4页Low Voltage Apparatus

基　　金：湖南省教育厅资助项目(08C615)

摘　　要：介绍了采用温度传感器、烟雾传感器和CO传感器等构成的复合型火灾探测器,并应用设置在该探测器内部的软件算法对各传感器采集到的输入信号进行智能分析和处理。对BP神经网络进行了训练。模拟火灾试验结果表明,所设计的复合型智能火灾探测器能快速、准确地判别各类火情,进一步增强火灾探测的灵敏度和可靠性。A compound fire detector composed of temperature sensor, smoke sensor and CO sensor was introduced, and input signals obtained from each sensor were intelligently, analyzed and processed by using software algorithm inside the detector. The BP neural network was trained. The simulation fire experimental results indicated that the designed compound intelligent fire detector could distinguish all kinds of fire accident rapidly and accurately, and futher enhanced the sensitivity and reliability of lire detecting.

关 键 词：火灾 复合型 探测器 软件算法 训练 BP神经网络 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]