| 基于神经网络的多传感器火灾预测数据处理 |
| |
| 引用本文： | 姚畅,钱盛友,侯周国.基于神经网络的多传感器火灾预测数据处理[J].传感器与微系统,2005,24(11):68-70. |
| |
| 作者姓名： | 姚畅 钱盛友 侯周国 |
| |
| 作者单位： | 湖南师范大学,电子信息科学系,湖南,长沙,410081 |
| |
| 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,对多传感器(温度传感器、烟雾传感器和CO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.
|
| 关 键 词： | 火灾预测 多传感器 神经网络 数据处理 |
| 文章编号： | 1000-9787(2005)11-0068-03 |
| 收稿时间： | 04 21 2005 12:00AM |
| 修稿时间： | 2005年4月21日 |
Data processing from multi-sensors to predict fire disaster based on neural network |
| |
| YAO Chang,QIAN Sheng-you,HOU Zhou-guo.Data processing from multi-sensors to predict fire disaster based on neural network[J].Transducer and Microsystem Technology,2005,24(11):68-70. |
| |
| Authors: | YAO Chang QIAN Sheng-you HOU Zhou-guo |
| |
| Affiliation: | Dept of Elct lnfo Sci, Hunan Normal University, Changsha 410081, China |
| |
| 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 multi-sensors(the temperature sensor,the smog sensor and the 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. |
| |
| Keywords: | fire disaster forecast multi-sensor neural network data processing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
