In this paper a network architecture for the monitoring of NO2 emissions in the industrial scenarios is presented. The proposed system is based on chemoresistive gas sensors realized by mixing nano-composite of ZnO, doped by Al (5%) and Co3O4. The obtained compound presents appreciable sensitivity to NO2 exposure at room temperature which makes it suitable for low-power applications. The sensor is embedded in an IoT framework exploiting the Long Range (LoRa) LPWAN connectivity with the associated LoRaWAN protocol, granting data transmission over a wide area. Thus, the acquired data will be forwarded to a Cloud platform to be collected and remotely managed.

A Low Cost Resistive Gas Sensor Network Based on Zn-Al Doped and Co3O4 Nanopowder Composite

Pozzebon A.;
2020

Abstract

In this paper a network architecture for the monitoring of NO2 emissions in the industrial scenarios is presented. The proposed system is based on chemoresistive gas sensors realized by mixing nano-composite of ZnO, doped by Al (5%) and Co3O4. The obtained compound presents appreciable sensitivity to NO2 exposure at room temperature which makes it suitable for low-power applications. The sensor is embedded in an IoT framework exploiting the Long Range (LoRa) LPWAN connectivity with the associated LoRaWAN protocol, granting data transmission over a wide area. Thus, the acquired data will be forwarded to a Cloud platform to be collected and remotely managed.
2020
Sensors and Microsystems. AISEM 2019
978-3-030-37557-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3405637
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