| 基于人工智能技术的火灾探测信息融合系统 |
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| 引用本文： | 张晶,李心广. 基于人工智能技术的火灾探测信息融合系统[J]. 工业仪表与自动化装置, 2004, 0(4): 65-68 |
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| 作者姓名： | 张晶 李心广 |
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| 作者单位： | 广东外语外贸大学,信息科学技术学院,广东,广州,510420;广东外语外贸大学,信息科学技术学院,广东,广州,510420 |
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| 摘 要： | 针对传统火灾探测方法存在的智能程度低、误报率高等问题，提出将人工智能数据融合技术应用于火灾探测中，并针对火情信号固有的特点，采用3层数据融合结构，对由专家系统提取的火灾经验概率和由神经网络系统提取的火灾数据概率特征，用模糊系统进行进一步的融合，最终得到火灾概率。最后选取中国标准明火、标准阴燃火和典型干扰下的火情信号进行计算机仿真实验，取得了满意的结果。
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| 关 键 词： | 火灾探测 数据融合 人工智能 神经网络 模糊推理 |
| 文章编号： | 1000-0682(2004)04-0065-04 |
| 修稿时间： | 2003-10-30 |
A fire detection system based on intelligent data fusion technology |
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| ZHANG jing,LI Xin-guang. A fire detection system based on intelligent data fusion technology[J]. Industrial Instrumentation & Automation, 2004, 0(4): 65-68 |
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| Authors: | ZHANG jing LI Xin-guang |
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| Abstract: | In this paper,multi-sensor data fusion technology is used in fire detection,which can better solve problems existing in traditional fire detection,such as lower-grade intelligence,high mis-warning rate,delay-warning etc.According to the fire signal's inherent characteristics, a 3-layers data fusion structure is used.In this fire detecting system,the fire experiential characteristic and the fire data-fitting characteristics of fire signal data are used by the fuzzy inference system to get the last fire probability.Finally simulation experiments are done for typical flaming fire,typical smoldering fire and the fire under typical disturbance signals in kitchen environment.And satisfactory results are obtained. |
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| Keywords: | fire detection multi-sensor data fusion artificial intelligence neural network fuzzy inference |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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