摘要
为了能快速准确检测到周围生产、生活环境的状况,及时预报火灾的可能性,本文介绍了多传感器信息融合的基本思想,在此基础上以模块化的形式,探索了自适应加权数据融合算法和D-S证据理论在智能火灾预警报警系统的应用。结果表明多传感器信息融合算法可有效提高系统的识别能力,并提出了有待解决的问题。
In order to be able to detect the surrounding production and the state of the living environment quickly and accurately, predict the possibility of fire duly, the basic principle of multi-sensor data fusion is introduced. On this basis, the application of the adaptive weighted data fusion algorithms and D-S evidence theory in the intelligent fire warning system are explored in a modular form. The results show that multi-sensor data fusion algorithm can effectively improve the recognition capabilities. Some issues to be addressed are put forward too.
出处
《传感器世界》
2008年第6期41-44,共4页
Sensor World
