基于红紫外光电传感器的多波段火焰探测方法研究
Research on multiband flame detection method based on red UV photoelectric sensors
薛莹 1赵志鹏 1刘建翔 1李绍鹏1
作者信息
- 1. 齐鲁工业大学(山东省科学院) 山东省科学院自动化研究所,山东 济南 250014
- 折叠
摘要
针对不同火灾发生场景对火焰探测的要求,建立具有火灾特征的火灾探测模型,对多波段红紫外传感器火焰探测机理、多特征数据融合算法和火灾决策判断方法进行研究.选择 185～260 nm波段的紫外光电传感器和 3.6、4.4、4.8 μm波段的红外光电传感器进行火焰探测,采集火焰特征信号数据信息;采用多信号数据融合和特征参数相关性算法,建立多波段火灾特征的火灾探测数学模型,模拟火灾发生场景,训练有关特征参数的最佳配置.研究结果表明,对 185～260 nm波段的紫外光和 3.6、4.4、4.8 μm波段的红外光进行多波段火焰探测,能够满足标准GB 15631-2008《特种火灾探测器》的要求,火焰的识别和决策判断能力提高,试验中无误报和漏报.
Abstract
In response to the requirements of flame detection in different fire scenarios,this study establishes a fire detection model with fire characteristics and investigates the mechanisms of multi-band red and ultraviolet(UV)sensors for flame detection,multi-feature data fusion algorithms,and fire decision-making methods.Ultraviolet photodetectors in the wavelength range of 185 to 260 nanometers and infrared photodetectors in the wave-lengths of 3.6,4.4,4.8 μm are selected for flame detection,and flame characteristic signal data information is collected.By em-ploying multi-signal data fusion and feature parameter correlation algorithms,a mathematical model for fire detection based on multi-band fire characteristics is established.Fire occurrence scenarios are simulated to train the optimal configuration of relevant feature parameters.The research results demonstrate that multi-band flame detection using UV light in the range of 185 to 260 nanome-ters and infrared light at wavelengths of 3.6,4.4,4.8 μm can meet the requirements of the national standard GB 15631-2008,Special fire detectors.The recognition and decision-making capa-bilities for flames are improved,and there were no false alarms or missed detections in the experiments.
关键词
紫外光电传感器/红外光电传感器/多波段火焰探测Key words
UV photoelectric sensor/infrared photoelectric sen-sor/multi band flame detection引用本文复制引用
基金项目
2022年山东省第二批科技型中小企业创新能力提升工程(2022TSGC2146)
2022年济南市"新高校20条"引进创新团队项目(202228052)
出版年
2024
NETL
NSTL
万方数据