基于红紫外光电传感器的多波段火焰探测方法研究

消防科学与技术 ›› 2024, Vol. 43 ›› Issue (3): 384-388.

基于红紫外光电传感器的多波段火焰探测方法研究

薛莹, 赵志鹏, 刘建翔, 李绍鹏

（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）

出版日期:2024-03-15 发布日期:2024-03-15
作者简介:薛莹（1979- ）,女，山东菏泽人，齐鲁工业大学(山东省科学院)山东省科学院自动化研究所助理研究员，硕士,主要从事火焰探测、气体探测和消防机器人的研究，山东省济南市历下区科院路19号，250014。
基金资助:
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）

Research on multiband flame detection method based on red UV photoelectric sensors

Xue Ying, Zhao Zhipeng, Liu Jianxiang, Li Shaopeng

(Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Shandong Jinan 250014,China)

Online:2024-03-15 Published:2024-03-15

摘要/Abstract

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。

关键词: 紫外光电传感器, 红外光电传感器, 多波段火焰探测

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 wavelengths of 3.6, 4.4， 4.8 μm are selected for flame detection, and flame characteristic signal data information is collected. By employing 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 nanometers 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 capabilities for flames are improved, and there were no false alarms or missed detections in the experiments.

Key words: UV photoelectric sensor, infrared photoelectric sensor, multi band flame detection

薛莹, 赵志鹏, 刘建翔, 李绍鹏. 基于红紫外光电传感器的多波段火焰探测方法研究[J]. 消防科学与技术, 2024, 43(3): 384-388.

Xue Ying, Zhao Zhipeng, Liu Jianxiang, Li Shaopeng. Research on multiband flame detection method based on red UV photoelectric sensors[J]. Fire Science and Technology, 2024, 43(3): 384-388.