Smart City Gnosys

Smart city article details

Title Low-Cost Sensor Node For Air Quality Monitoring: Verification Of No2 Measurements Against A Commercial System
ID_Doc 35733
Authors Barahona B.; Buck R.; Lausberg T.; Meyer P.; Ott M.; Meyer M.; Schütz P.
Year 2022
Published Advances in Science, Technology and Innovation
DOI http://dx.doi.org/10.1007/978-3-030-98423-6_4
Abstract In the light of the current respiratory disease pandemic, air quality gains relevance in cities around the world. Low-cost sensors for air quality (AQ) and data transmission via wireless networks are readily available technologies, thus it is possible to envision that measuring the distribution of pollutants can be achieved cost effectively with high-quality over large areas. With these data, smart cities could actively influence the distribution of pollutants, for instance, by active traffic control. Our sensor-box prototype aims at monitoring AQ and other environmental parameters with low-cost components. It is designed to be mounted on the top of a car and to transmit geotagged data via lower power and long-range wireless networks. Several challenges exist to get sensible measurements with metal oxide semiconductor (MOS) or with electrochemical (EC) sensors such as: reproducibility, stability, uncertainty, drift, cross sensitivities. Here, the focus is on comparing nitrogen dioxide (NO2) measurements from these two technologies. A side-by-side evaluation of the MOS sensor in a commercial system, and the EC sensor in our sensor-box is reported. Recalibration of the EC sensor is demonstrated by applying semi-empirical corrections specified by the manufacturer and linear regression. The corrections advised by the manufacturer do not significantly increase the correlation to the MOS sensor. However, we observe correlation values comparable to the state-of-the-art. This is the first verification step of a novel sensor node that includes the possibility to measure NO2, O3, CO, PM10, PM25, PM1, TVOC, ECO2, temperature, humidity, pressure, and other environmental parameters. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords Air quality; Electrochemical gas sensors; Environmental sensing; Internet of Things; Metal oxide semiconductor sensors; Nitrogen dioxide


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