| 蔡志远,赵长征,马少华,于丽丽.基于混沌时间序列分析的感光式火灾识别算法[J].火灾科学,2008,17(4):228-232. |
| 基于混沌时间序列分析的感光式火灾识别算法 |
| Optical flame fire detection algorithm based on chaos time series analysis |
| 投稿时间：2008-05-03 修订日期：2008-09-07 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI：10.3969/j.issn.1004-5309.年.期.顺序 |
| 基金项目: |
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| 中文关键词: 火灾探测 混沌 关联维 最大Lyapunov指数 |
| 英文关键词:Fire detection Chaos Correlation dimension Maximum Lyapunov exponent |
| 摘要点击次数: 494 |
| 全文下载次数: 689 |
| 中文摘要: |
| 采用混沌时间序列分析法对煤油和木材两种燃料的火焰信号进行了分析,通过主分量分析证明火焰信号属于混沌时间序列,煤油火焰、木材火焰和熄火信号的二维相平面图有明显的差异,它们的关联维和最大Lyapunov指数等混沌特征量的变化范围有所不同。该文通过数据挖掘,提出采用关联维判别火焰是否存在,同时配合最大Lyapunov指数判别燃料种类。所提出的火灾识别方法对发展感光式火灾探测器有一定的指导意义。 |
| 英文摘要: |
| The flame signals of both fuels including kerosene and lumber are analyzed by chaos time series analysis method in this paper.It is indicated the flame signals belong to chaos time series by means of principal component analysis.The two dimensional phase plane plots of the signals emitting respectively by kerosene flame,lumber flame and flameout are different obviously,and their correlation dimensions and the maximum Lyapunov exponents vary at different regions.As results,it can be distinguished that the flame is burning or flameout according to its correlation dimension.Furthermore,it can be distinguished that the fuel is kerosene or lumber according to its correlation dimension maximum Lyapunov exponent.The fire detection algorithm presented in this paper can be adopted to develop the fire detector. |
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