| 基于多通道自适应加权融合算法的火灾特征识别 |
| |
| 引用本文： | 张兢.基于多通道自适应加权融合算法的火灾特征识别[J].国外电子测量技术,2006,25(1):31-34. |
| |
| 作者姓名： | 张兢 |
| |
| 作者单位： | 重庆工学院电子信息与自动化学院,400050 |
| |
| 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.
|
| 关 键 词： | 火灾特征识别 融合算法 多传感器 火灾预警 |
Fire characteristics recognition based on multi-channel self-adapting weighting fusion algorithm |
| |
| Zhang Jing.Fire characteristics recognition based on multi-channel self-adapting weighting fusion algorithm[J].Foreign Electronic Measurement Technology,2006,25(1):31-34. |
| |
| Authors: | Zhang Jing |
| |
| Affiliation: | School of Electronics and Automation, Chongqing Institute of Technology, Chongqing 400050 |
| |
| Abstract: | 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. |
| |
| Keywords: | fire characteristic recognition fusion algorithm multi-sensor fire alarm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
