Research on high performance combustible gas concentration sensor based on pyramid beam splitter matrix

Author:

Wang BoqiangORCID,Zhao Xuezeng,Zhang Yiyong,Wang Zhuogang

Abstract

Combustible gas concentration detection faces challenges of increasing accuracy, and sensitivity, as well as high reliability in harsh using environments. The special design of the optical path structure of the sensitive element provides an opportunity to improve combustible gas concentration detection. In this study, the optical path structure of the sensitive element was newly designed based on the Pyramidal beam splitter matrix. The infrared light source was modulated by multi-frequency point signal superimposed modulation technology. At the same time, concentration detection results and confidence levels were calculated using the 4-channel combustible gas concentration detection algorithm based on spectral refinement. Through experiment, it is found that the sensor enables full-range measurement of CH4, at the lower explosive limit (LEL, CH4 LEL of 5%), the reliability level is 0.01 parts-per-million (PPM), and the sensor sensitivity is up to 0.5PPM. The sensor is still capable of achieving PPM-level detections, under extreme conditions in which the sensor’s optical window is covered by 2/3, and humidity is 85% or dust concentration is 100mg/m3. Those improve the sensitivity, robustness, reliability, and accuracy of the sensor.

Publisher

Public Library of Science (PLoS)

Reference22 articles.

1. Research progress and development trend of explosion suppression and mitigation technology in coal mines in China[J];M.G. Yu;Journal of Coal,2020

2. Research status and discussion on explosion limit of multi-component combustible gas[J];Liu Taotao;Journal of Industrial safety and environmental protection,2022

3. Linkage Control Scheme of Intelligent Gas Meter and Combustible Gas Sensor [J];Yu Jianming;Journal of Gas and Heat,2022

4. Correction: Wang et al. Effectiveness in Mitigating Forest Fire Ignition Sources: A Statistical Study Based on Fire Occurrence Data in China;W Haihui;Fire,2022

5. Fuqin. Statistical analysis of malignant fire accidents in Chinese colleges and universities from 1949–2019[J];GO ZHAO Zhiquan;Fire Protection Today,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3