| 基于数据融合技术的火灾报警系统的研究与设计 |
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| 引用本文： | 张铁壁,李光,孙士尉.基于数据融合技术的火灾报警系统的研究与设计[J].河北大学学报(自然科学版),2010,30(1). |
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| 作者姓名： | 张铁壁 李光 孙士尉 |
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| 作者单位： | 1. 北京科技大学,信息工程学院,北京,100083;河北工程技术高等专科学校,电气系,河北,沧州,061001
2. 河北工程技术高等专科学校,电气系,河北,沧州,061001 |
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| 基金项目： | 国家“863”计划基金资助项目(863-2.5.1.25) |
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| 摘 要： | 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.
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| 关 键 词： | 数据融合 神经网络 模糊推理 现场总线 火灾报警 |
Study and Design of a Fire Alarm System Based on Data Fusion Technology |
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| ZHANG Tie-bi,LI Guang,SUN Shi-wei.Study and Design of a Fire Alarm System Based on Data Fusion Technology[J].Journal of Hebei University (Natural Science Edition),2010,30(1). |
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| Authors: | ZHANG Tie-bi LI Guang SUN Shi-wei |
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| Institution: | 1.College of Informational Engineering;University of Science and Technology Beijing;Beijing 100083;China;2.Department of Electrical Engineering;Hebei Engineering and Technical College;Cangzhou 061001;China |
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| Abstract: | 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. |
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| Keywords: | data fusion neural network fuzzy reasoning field bus fire alarm |
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