This paper presents a portable device for outdoor air quality measurement that provides concentration values for the main pollutants: NO₂, NO, CO, O₃, PM_2.5 and PM₁₀, 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 as Supplementary Material. 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.

中文翻译：

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基于具有云连接的电化学和 PM 传感器的低成本空气质量测量系统

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：NO ₂、NO、CO、O ₃、PM _2.5和 PM ₁₀，以及其他值，例如温度、湿度、位置和日期。该设备基于商用电化学气体和光学粒子物质传感器的使用，并精心设计了电子设备，以减少电噪声并提高测量的准确性。结果是一个采用物联网技术的低成本系统，它通过 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潜力的云平台。两个相同的设备被制造并安装在移动参考测量单元上，并部署在西班牙巴达霍斯。为期两个月的实地活动的结果作为补充材料提交和出版。从这些测量中获得的数据使用线性回归和神经网络技术进行校准。