基于多传感器融合技术的微型空气质量监测系统优化设计

大气与环境光学学报 ›› 2021, Vol. 16 ›› Issue (4): 349-357.

基于多传感器融合技术的微型空气质量监测系统优化设计

王玉钟1;2, 王焕钦2∗, 胡俊涛1, 桂华侨3

1 合肥工业大学光电技术研究院, 特种显示技术国家工程实验室, 安徽合肥 230009; 2 中国科学院合肥物质科学研究院智能机械研究所, 中国科学院传感技术国家重点实验室, 安徽合肥 230031; 3 中国科学院合肥物质科学研究院安徽光学精密机械研究所, 中国科学院环境光学与技术重点实验室, 安徽合肥 230031

收稿日期:2020-07-18 修回日期:2021-05-24 出版日期:2021-07-28 发布日期:2021-07-28
通讯作者: hqwang@iim.ac.cn E-mail:hqwang@iim.ac.cn
作者简介:王玉钟 (1994 - ), 安徽合肥人, 硕士研究生, 主要从事环境空气质量监测和水质检测的研究。 E-mail: 1249283400@qq.com
基金资助:
Supported by the National Key Research and Development Program of China (国家重点研究发展计划, 2016YFC0201000), the Natural Science Foundation of China (国家自然科学基金, 61673368), the Science and Technological Fund of Anhui Province for Outstanding Youth (安徽省优秀青年科学基金, 1808085J19).

Optimization Design of Miniature Air Quality Monitoring System Based on Multi-Sensor Fusion Technology

WANG Yuzhong1;2, WANG Huanqin2∗, HU Juntao1, GUI Huaqiao3

1 National Engineering Lab of Special Display Technology, Academy of Opto-Electronic Technology, Hefei University of Technology, Hefei 230009, China; 2 State Key Laboratory of Transducer Technology, Institute of Intelligent Machines, HFIPS, Chinese Academy of Sciences, Hefei 230031, China; 3 Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China

Received:2020-07-18 Revised:2021-05-24 Published:2021-07-28 Online:2021-07-28
Contact: Huan-Qin WANG E-mail:hqwang@iim.ac.cn

摘要/Abstract

摘要： 针对国家环境空气质量监测站 (NAAQMS) 由于体积大、成本高而不利于大面积广泛布点的问题, 研制了一种微型空气质量监测系统, 用于监测大气中 CO、 NO2、 O3、 SO2、 PM2:5 和 PM10 的浓度。该系统分别采用电化学气体传感器和光学粒子计数器来测量气体污染物和颗粒物浓度。考虑到传感器在测量污染物浓度时容易受到大气温湿度的影响, 基于多传感器融合技术通过温湿度补偿算法对测量结果进行了修正, 并与 NAAQMS 发布的数据进行了比较, 分析表明二者具有很强的相关性。与 NAAQMS 的数据相比, 本系统 10 天监测数据的相关系数优于 0.7; 通过算法校正后, 某些污染物 (如 PM2:5) 的相关系数甚至可以提高到 0.9。新设计的空气质量监测系统具有鲁棒性强、体积小的特点, 适用于环境空气污染物的长期大面积分布式网络监测。

关键词: 空气质量监测, 优化设计, 多传感器融合, 小型化

Abstract: In view of the challenge that the National Ambient Air Quality Monitoring Station (NAAQMS) is not suitable for large area distribution due to its large volume and high cost, a miniature air quality monitoring system is developed to monitor the concentrations of CO, NO2, O3, SO2, PM2:5 and PM10 in atmosphere. Electrochemical gas sensors and optical particle counter are adopted to measure the concentration of air pollutants and particles respectively in the system. Considering that the sensor is vulnerable to the influcence of temperature and humidity of atmosphere when measuring the concentration of pollutants, the measurement results are modified through the temperature and humidity compensation algorithm based on the multi-sensor fusion technology. Then the modified measurement results are compared with the data released by NAAQMS, and it is shown that there is a strong correlation between the two data. Compared with the data obtained from NAAQMS, the correlation coefficient for 10 days monitoring data obtained from the developled system is better than 0.7. After the algorithm correction, the correlation coefficient of some pollutants, such as PM2:5, can even be improved to 0.9. The air quality monitoring system is robust and small in size, which is suitable for long-term and large area distributed network monitoring of environmental air pollutants.

Key words: air quality monitoring, optimization design, multi-sensor fusion, miniaturization

中图分类号:

X851

王玉钟, 王焕钦∗, 胡俊涛, 桂华侨. 基于多传感器融合技术的微型空气质量监测系统优化设计[J]. 大气与环境光学学报, 2021, 16(4): 349-357.

WANG Yuzhong, WANG Huanqin∗, HU Juntao, GUI Huaqiao. Optimization Design of Miniature Air Quality Monitoring System Based on Multi-Sensor Fusion Technology[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(4): 349-357.

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