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| 数据融合技术在火灾报警系统中的应用研究 | |
| 引用本文： | 周炳臣,张铁壁,张学军.数据融合技术在火灾报警系统中的应用研究[J].河北科技大学学报,2010,31(2):120-123,171. |
| 作者姓名： | 周炳臣 张铁壁 张学军 |
| 作者单位： | 1. 河北工业大学电气与自动化学院,天津,300130;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;北京科技大学信息工程学院,北京,100083 3. 河北工程技术高等专科学校电气系,河北沧州,061001 |
| 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。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,达到了预期效果。 |
| 关 键 词： | 数据融合 神经网络 模糊推理 现场总线 火灾报警 |
| 收稿时间： | 2009/6/29 0:00:00 |
| 修稿时间： | 2009/10/16 0:00:00 |
Application study on fire alarm system based on data fusion technology |
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| ZHOU Bing-chen,ZHANG Tie-bi and ZHANG Xue-jun.Application study on fire alarm system based on data fusion technology[J].Journal of Hebei University of Science and Technology,2010,31(2):120-123,171. | |
| Authors: | ZHOU Bing-chen ZHANG Tie-bi and ZHANG Xue-jun |
| Institution: | 1. School of Electrical Engineering and Automation, Hebei University of Technology, Tianjin 300130, China;2. Department of Electrical Engineering, Hebei Engineering and Technical College, Cangzhou Hebei 061001, China; 3. School of Information Engineering, Beijing University of Science and Technology, Beijing 100083, China) |
| Abstract: | The study proposed a multisensor data fusion technology, which is based on neural network and fuzzy reasoning technologies and fieldbus. It described in detail the data fusion technology. The imitation results with actual input information confirmed that the multisensor data fusion technology using BP neural network and fuzzy reasoning can accurately forecast fires and effectively lower false alarm rate, and has reached the expected goal. |
| Keywords: | data fusion neural network fuzzy reasoning fieldbus fire alarm |
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