应用于早期火灾探测的CO传感器

党敬民; 于海业; 宋芳; 王一丁; 孙裕晶

doi:10.3788/OPE.20182608.1876

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应用于早期火灾探测的CO传感器

激光光谱技术 | 更新时间：2020-08-13

- 应用于早期火灾探测的CO传感器
- Development of a CO sensor for early fire detection
- 光学精密工程 2018年26卷第8期页码：1876-1881
- 作者机构：
  
  1.吉林大学生物与农业工程学院, 吉林长春 130022
  2.吉林大学电子科学与工程学院, 吉林长春 130012
- 作者简介：
  
  [ "党敬民(1987-), 男, 天津人, 博士, 助理研究员, 2011年、2016年于吉林大学分别获得学士、博士学位, 现为吉林大学生物与农业工程学院博士后, 主要从事红外传感与超宽带传感方面的研究。E-mail:jmdang@jlu.edu.cn" ]
  孙裕晶(1969-), 男, 山西介休人, 教授, 硕士生导师, 2000年、2005年于吉林大学分别获得硕士、博士学位, 主要从事智能农业机械和智能装备测试技术等方面的研究。E-mail:syj@jlu.edu.cn SUN Yu-jing, E-mail:syj@jlu.edu.cn
- 基金信息：
  
  国家重点研发计划资助项目(2016YFD0700101);国家重点研发计划资助项目(2016YFC0303902);国家重点研发计划资助项目(2017YFB0402800);国家自然科学基金资助项目(61775079);国家自然科学基金资助项目(61627823);国家自然科学基金资助项目(61307124)
- DOI：10.3788/OPE.20182608.1876
  中图分类号： TP212
- 收稿日期：2018-04-18，
  
  录用日期：2018-6-1，
  
  纸质出版日期：2018-08-25
- 稿件说明：
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党敬民, 于海业, 宋芳, 等. 应用于早期火灾探测的CO传感器[J]. 光学精密工程, 2018,26(8):1876-1881.

Jing-min DANG, Hai-ye YU, Fang SONG, et al. Development of a CO sensor for early fire detection[J]. Optics and precision engineering, 2018, 26(8): 1876-1881.
党敬民, 于海业, 宋芳, 等. 应用于早期火灾探测的CO传感器[J]. 光学精密工程, 2018,26(8):1876-1881. DOI： 10.3788/OPE.20182608.1876.

Jing-min DANG, Hai-ye YU, Fang SONG, et al. Development of a CO sensor for early fire detection[J]. Optics and precision engineering, 2018, 26(8): 1876-1881. DOI： 10.3788/OPE.20182608.1876.

摘要

为了实现对火灾的早期探测，设计了一种高精度、高灵敏度CO传感器。该传感器以激射波长的为2.33 μm的连续型分布反馈激光器为光源。采用波长调制光谱（WMS）技术与一次谐波量化的二次谐波检测方法相结合的研究手段，对典型环境压力下复杂、重叠的光谱吸收特征进行分离，从而实现了良好的选择性和较高的灵敏度。基于Allan Werle方差的系统长期稳定性评估分析表明，系统的检测限（LoD）为1.18 μL/L；当积分时间达到205 s时，系统能够实现0.08 μL/L的测量精度。最后，纸、棉花以及松木等容易产生阴燃的可燃物燃烧实验表明，所研制的传感器具有良好的早期火灾探测能力。

Abstract

A high-precision

high-sensitivity carbon monoxide (CO) sensor was developed for early fire detection. This sensor relied on a continuous wave distributed feedback (DFB) laser emitting at a wavelength of approximately 2.33 μm as an excitation source. A 2

Wavelength Modulation Spectroscopy (WMS) strategy was adopted to isolate complex

overlapping spectral absorption features associated with ambient pressure and to achieve excellent specificity and high detection sensitivity. Allan-Werle deviation analysis was used to evaluate the long-term performance of the CO sensor system. A Limit of Detection (LoD) of 1.18 parts per million by volume (μL/L) was achieved with a measurement precision of 0.08 μL/L for an optimal integration time of~205 s. The early fire detection of paper

cotton

and pine wood was conducted in the field

which verified the reliable and robust operation of the developed sensor.

关键词

Keywords

references

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