Data processing from multi-sensors to predict fire disaster based on neural network

YAO Chang; QIAN Sheng-you; HOU Zhou-guo

doi:10.13873/j.1000-97872005.11.030

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Data processing from multi-sensors to predict fire disaster based on neural network

更新时间：2025-09-11

- Data processing from multi-sensors to predict fire disaster based on neural network
- Issue 11, Pages: 68-70(2005)
- 作者机构：
  
  1. 湖南师范大学电子信息科学系
  2. 湖南师范大学电子信息科学系,湖南,长沙,410081
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872005.11.030
  CLC： TP29
- Published：2005
- 稿件说明：
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[1]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(11):68-70.

YAO Chang, QIAN Sheng-you, HOU Zhou-guo. Data processing from multi-sensors to predict fire disaster based on neural network[J]. 2005, (11): 68-70.
[1]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(11):68-70. DOI： 10.13873/j.1000-97872005.11.030.

YAO Chang, QIAN Sheng-you, HOU Zhou-guo. Data processing from multi-sensors to predict fire disaster based on neural network[J]. 2005, (11): 68-70. DOI： 10.13873/j.1000-97872005.11.030.

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.

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.

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references

神经网络在矿井胶带机火灾探测中的应用 [J]. 郭键,王汝琳,李宁,李明. 西安石油大学学报(自然科学版) . 2004(02)

复合式智能火灾探测器设计 [J]. 王芳,张敏,赵贵昉. 航空精密制造技术 . 2003(06)

应用BP网络构造复合型智能火灾探测器 [J]. 尚峰,蒋国平,王芳. 自动化仪表 . 2003(03)

多传感器/多判据探测器在火灾探测中的应用 [J]. 汤正华,王殊,陈涛. 传感器技术 . 2001(03)

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