| 基于神经网络的多传感器火灾报警系统 |
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| 引用本文： | 姚畅,钱盛友. 基于神经网络的多传感器火灾报警系统[J]. 计算机工程与应用, 2006, 42(3): 219-221 |
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| 作者姓名： | 姚畅 钱盛友 |
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| 作者单位： | 湖南师范大学电子信息科学系,长沙,410081;湖南师范大学电子信息科学系,长沙,410081 |
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| 摘 要： | 为降低火灾报警系统的漏检、误报率,利用神经网络良好的非线性映射能力,对温度传感器、烟雾传感器和一氧化碳传感器同时探测到的数据进行智能化处理。仿真结果表明:基于神经网络的多传感器火灾报警系统能准确地识别各种火灾信号,减少了误报,增强了系统的抗干扰能力和对环境的适应性能。
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| 关 键 词： | 火灾 传感器 神经网络 数据处理 |
| 文章编号： | 1002-8331-（2006）03-0219-03 |
| 收稿时间： | 2005-07-01 |
| 修稿时间： | 2005-07-01 |
Fire Alarm System of Multi-sensors Based on Neural Network |
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| Yao Chang,Qian Shengyou. Fire Alarm System of Multi-sensors Based on Neural Network[J]. Computer Engineering and Applications, 2006, 42(3): 219-221 |
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| Authors: | Yao Chang Qian Shengyou |
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| Affiliation: | Department of Electronic Information Science, Hunan Normal University,Changsha 410081 |
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| Abstract: | In order to reduce the leak-check and error rate of the fire alarm system ,the nonlinear reflecting capability of neural network is applied to intelligently process the data synchronously detected by temperature sensor,smog sensor and CO sensor.The result of simulation shows that the different kinds of signals related to fire disaster can be accurately recognized by the fire alarm system with multi-sensors based on neural network,and the false-alarm can be decreased.The suitability of this system to environmental variation and anti-interference capability can be obviously improved. |
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| Keywords: | fire disaster sensor neural network data processing |
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