摘要
针对传统火灾报警系统存在的局限性,本文把传感器融合技术应用到火灾预警探测系统中.该系统采用传感器组探测早期火灾特征,在进行数据处理时,首先对同质传感器进行自适应加权数据融合,再对同质传感器采用D-S证据理论进行全局融合,最后得出对火灾的最优判断,很好地解决了报警灵敏度和误报率之间的矛盾.系统采取模块化设计,结构简单,容易实现等.
For the conventional fire alarm system existing limitations,the paper applies the sensor fusion technology to the fire early-warning detection system .The system detects fire features with sensors group,in data processing,first on the same sensor data fusion-weighted adaptive is applied,and then uses the same sensor DS evidence theory to overall fuse,finally draws on the best judgement of the fire,and solves the conflict between the sensitivity of the alarm and rate of false positives. The system also takes modular design,simple structure,easy to implement .
出处
《河南师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2010年第2期56-59,共4页
Journal of Henan Normal University(Natural Science Edition)
基金
河南省教育厅基金(2009A510006)
