首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于神经网络和模糊逻辑的智能火灾探测
引用本文:何建华,杨宗凯,王殊.基于神经网络和模糊逻辑的智能火灾探测[J].华中科技大学学报(自然科学版),1997(2).
作者姓名:何建华  杨宗凯  王殊
作者单位:He Jianhua Master's Candidate; Dept. of Electronics & Information Eng.,HUST,Wuhan 430074,China. Yang Zongkai Wang Shu
摘    要:探讨了一种基于模糊逻辑和前馈神经网络的火灾探测和自动报警的方法.该方法以半导体感温,离子感烟和湿度模拟传感量为基本特征,并附加其相应的趋势特征对神经网络进行训练.神经网络所对应的明火概率和阴燃火概率输出,经过模糊判决器后检测火灾现象是否发生.实验表明利用传感量的趋势特征和模糊逻辑判决的自动探测系统,能够及时准确地检测出火灾,为火灾报警提供了一种新的有效的方法

关 键 词:火灾报警  神经网络  模糊逻辑

Intelligent Fire Detection Based on Neural Network and Fuzzy Logic
He Jianhua Master's Candidate, Dept. of Electronics & Information Eng.,HUST,Wuhan ,China. Yang Zongkai Wang Shu.Intelligent Fire Detection Based on Neural Network and Fuzzy Logic[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1997(2).
Authors:He Jianhua Master's Candidate  Dept of Electronics & Information Eng  HUST  Wuhan  China Yang Zongkai Wang Shu
Institution:He Jianhua Master's Candidate, Dept. of Electronics & Information Eng.,HUST,Wuhan 430074,China. Yang Zongkai Wang Shu
Abstract:A fire detecting method is discussed based on the fuzzy logic and backpropagation neural network. The values of temperature, smoke and humidity sensors are used as the basic characteristics to train the neural network. After fuzzy decision the fire probability and smouldering fire probability as output of the network are then used to make a decision if there is fire. Experimental results show that the automatic fire detecting system using the detector value and fuzzy logic decision can give fire warning in time and provide a new and efficient method for fire detection.
Keywords:neural network  fuzzy logic  fire detection
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号