基于数据融合技术的火灾报警系统的研究与设计

Study and Design of a Fire Alarm System Based on Data Fusion Technology

提出了一种基于现场总线的神经网络和模糊推理的多传感器数据融合技术,对所采用的数据融合技术进行了详细介绍.通过模拟实际输入信号的仿真结果证明,采用神经网络BP算法和模糊推理的多传感器数据融合技术能够准确预报火灾,有效降低误报率,达到了预期良好的效果.

Proposed a multisensor data fusion technology, which is based on neural network and fuzzy reasoning technologies and field bus, It thoroughly abstracts the data fusion technology. The results of imitated really input information confirmed that the multisensor data fusion technology is used BP neural network and fuzzy reasoning can accurately forecast fire, effectivly lower false alarm rate, and it reached the expected good results.