基于数字锁相的激光光谱早期火灾预警系统

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摘要:

为了实现火灾的快速准确早期预警,研制了一种基于分布式反馈激光器(DFB)的早期火灾预警系统.该系统采用片上系统(SoC)芯片STM32H743为主控制器,结合波长调制(WMS)和数字锁相放大技术(DLIA)实现了CO高灵敏探测.通过单片机内部集成的12位数模转换器和16位模数转换器实现光信号的调制和光电信号采集,并根据内部2倍参考信号进行数字相关运算、积分运算及一阶无限长冲击响应滤波算法实现DLIA算法,从而得到光谱信号的2次解调信号.采用静态配气法进行了系统的标定试验,其线性相关系数达到0.9988.利用该系统进行榉木,PVC,棉布,聚氨酯泡沫及A4纸的阴燃实验结果表明,阴燃产生CO体积分数达到5×10-6所需时间分别为340、250、250、150、110 s.结果表明此系统具有快速、准确的早期火灾预警功能.

In order to achieve rapid and accurate early fire warning,a laser-based CO sensor was developed with a distributed feedback laser(DFB).The system-on-chip(SoC)chip of STM32H743 is utilized as the main controller.Wavelength modulation technology and digital lock-in amplifier(DLIA)are employed to achieve highly sensitive detection of CO gas.The laser current modulation signal was drived by the internal 12-bit digital-to-analog converter peripheral(DAC)as well as the spectroscopy signal was acquired by the internal 16-bit analog-to-digital converter peripheral(ADC).The DLIA algorithm is realized through the digital correlation operation by multiplication of the internal reference 2-cosine signal,integral operation and the first-order infinite-length impulse response filtering method.Therefore,the second demodulation signal of the spectral signal is obtained from the DLIA algorithm.The calibration test of the sensor,which is carried out by using the standard gas proportioning method,shows that the linear correlation coefficient is up to 0.9988.The field smoldering application of beech,PVC,polyurethane foam,cotton cloth and A4 paper indicates that the growing times for the CO volume fraction of 5×10-6 are 340,150,250,250,110 s respectively.The sensor is validated that it has fast and accurate early fire warning advantage.

作者:

魏永卜 邱选兵 张恩华 李杰 李宁 李传亮 臧振中 杨明

Wei Yongbo;Qiu Xuanbing;Zhang Enhua;Li Jie;Li Ning;Li Chuanliang;Zang Zhenzhong;Yang Ming(School of Applied Science,Taiyuan University of Science and Technology,Taiyuan 030024,China;Key Laboratory of Modern Preparation of TCM,Ministry of Education,Jiangxi University of Traditional Chinese Medicine,Nanchang 330004,China)

机构地区:

太原科技大学应用科学学院 江西中医药大学现代中药制剂教育部重点实验室

出处:

《betway官方app 学报:自然科学版》 CAS 北大核心 2020年第3期52-57,共6页

基金:

国家自然科学基金(U1610117,U1810129) 山西省重点研发计划(201803D121090,201803D31077) 山西省科技成果转化引导专项项目(201904D131025),山西省‘1331工程’重点创新团队建设计划资助 江西中医药大学现代中药制剂教育部重点实验室开放基金 山西省高等学校优秀青年学术带头人(2018) 山西科技厅青年科技研究基金(201801D221017).

关键词:

火灾预警 数字锁相放大器 波长调制 激光光谱技术

fire warning digital lock-in amplifier wavelength modulation laser spectroscopy technology

分类号:

O433 [机械工程—光学工程]


基于数字锁相的激光光谱早期火灾预警系统.pdf


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