摘要
根据当今火灾探测的现状和实现火灾早期预报的需求,将多通道传感器数据融合技术应用于火灾特征识别中,选择多个传感器对火灾过程的特征参数进行监测识别,特别对火灾发生初期产生的异常信息进行全面监测,弥补了采用单一传感器的不足,扩展了时间上和空间上的监测范围。数据融合方法采用经典的自适应加权融合估计算法,配合智能判别技术,增强了火灾特征识别的可靠性。
According to the current situation of modern fire monitoring and demands of early fire alarming, multi--channel data fusion technology is applied to fire characteristic recognition; various sensors are chosen to monitor and recognize characteristic parameters in the process of fire; particularly, abnormal messages of initial stages of fires are thoroughly detected, which can make up for the disadvantages of single sensor and can extend monitoring range in terms of time and space. Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
出处
《国外电子测量技术》
2006年第1期31-34,共4页
Foreign Electronic Measurement Technology
关键词
火灾特征识别
融合算法
多传感器
火灾预警
fire characteristic recognition, fusion algorithm, multi-sensor, fire alarm.
