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数据融合技术在火灾自动探测中的应用研究
引用本文:张兢,路彦和,雷刚.数据融合技术在火灾自动探测中的应用研究[J].计算机测量与控制,2006,14(5):610-612.
作者姓名:张兢  路彦和  雷刚
作者单位:重庆工学院,电子信息与自动化学院,重庆,400050;重庆工学院,汽车学院,重庆,400050
摘    要:根据当今火灾探测的现状和实现火灾早期探测的需求,将多传感器数据融合技术应用在火灾预警系统中;选择多个传感器对火灾过程的多参数进行监测,特别对火灾发生初期产生的异常信息进行全面监控,弥补了采用单一传感器的不足,扩展了时间上和空间上的观测范围;采用自适应加权融合估算法,增强了系统报警输出的灵敏度和可靠性,达到了实现提前预警的目的.

关 键 词:火灾探测  多传感器  数据融合  火灾预警
文章编号:1671-4598(2006)05-0610-03
收稿时间:2005-09-25
修稿时间:2005-10-29

Application Research of Data Fusion Technology in Automatic Fire Detection System
Zhang Jing,Lu Yanhe,Lei Gang.Application Research of Data Fusion Technology in Automatic Fire Detection System[J].Computer Measurement & Control,2006,14(5):610-612.
Authors:Zhang Jing  Lu Yanhe  Lei Gang
Affiliation:1. School of Electronics and Automation, Chongqing Institute of Technology, Chongqing 400050, China; 2. Automobile College, Chongqing Institute of Technology, Chongqing 400050, China
Abstract:According to current situation of modern fire monitoring and demands of early warning of fire, multi-sensor data fusion is applied for Fire alarm systems. Detecting multi- parameter of fire course by multi- sensor, especially roundly detecting abnormal information of initial stages of fire, can make up shortcoming of single sensor, and can extend monitoring range for time domain and space domain. In this paper, an adaptive weighted fusion estimating method is applied, and sensitivity and reliability of systematic warning is strengthened, so aim of early warning may come true.
Keywords:fire detection  multi-sensor  data fusion  fire alarm
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