Arroyo Patricia, Gómez-Suárez Jaime, Suárez José Ignacio, Lozano Jesús
Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.
Sensors (Basel). 2021 Sep 16;21(18):6228. doi: 10.3390/s21186228.
This paper presents a portable device for outdoor air quality measurement that provides concentration values for the main pollutants: NO, NO, CO, O, PM and PM, and other values such as temperature, humidity, location, and date. The device is based on the use of commercial electrochemical gas and optical particle matter sensors with a careful design of the electronics for reducing the electrical noise and increasing the accuracy of the measurements. The result is a low-cost system with IoT technology that connects to the Internet through a GSM module and sends all real-time data to a cloud platform with storage and computational potential. Two identical devices were fabricated and installed on a mobile reference measurement unit and deployed in Badajoz, Spain. The results of a two-month field campaign are presented and published. Data obtained from these measurements were calibrated using linear regression and neural network techniques. Good performance has been achieved for both gaseous pollutants (with a Pearson correlation coefficient of up to 0.97) and PM sensors.
本文介绍了一种用于室外空气质量测量的便携式设备,该设备可提供主要污染物的浓度值:一氧化氮(NO)、二氧化氮(NO₂)、一氧化碳(CO)、臭氧(O₃)、细颗粒物(PM₂.₅)和可吸入颗粒物(PM₁₀),以及其他值,如温度、湿度、位置和日期。该设备基于商业电化学气体传感器和光学颗粒物传感器的使用,并精心设计了电子设备,以降低电噪声并提高测量精度。其结果是一个采用物联网技术的低成本系统,该系统通过GSM模块连接到互联网,并将所有实时数据发送到具有存储和计算能力的云平台。制作了两个相同的设备,并安装在移动参考测量单元上,部署在西班牙的巴达霍斯。展示并发表了为期两个月的实地测量活动结果。使用线性回归和神经网络技术对这些测量获得的数据进行了校准。气态污染物(皮尔逊相关系数高达0.97)和PM传感器均取得了良好的性能。