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(英文)

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

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、NO_(2)、O_(3)、SO_(2)、PM_(2.5)和PM_(10)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PM_(2.5))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。

In view of the challenge that the National Ambient Air Quality Monitoring Station(NAAQM-S)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,NO_(2),O_(3),SO_(2),PM_(2.5) and PM_(10) 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 PM_(2.5),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.