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EnglishIn 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.
Addabbo, T., Fort, A., Mugnaini, M., Panzardi, E., Pozzebon, A., Hjiri, M., et al. (2020). A Low Cost Resistive Gas Sensor Network Based on Zn-Al Doped and Co3O4 Nanopowder Composite. In Lecture Notes in Electrical Engineering (pp.163-168). Springer.
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| Titolo: | A Low Cost Resistive Gas Sensor Network Based on Zn-Al Doped and Co3O4 Nanopowder Composite |
| Autori: | |
| Anno: | 2020 |
| Serie: | |
| Citazione: | Addabbo, T., Fort, A., Mugnaini, M., Panzardi, E., Pozzebon, A., Hjiri, M., et al. (2020). A Low Cost Resistive Gas Sensor Network Based on Zn-Al Doped and Co3O4 Nanopowder Composite. In Lecture Notes in Electrical Engineering (pp.163-168). Springer. |
| Handle: | http://hdl.handle.net/11365/1113400 |
| ISBN: | 978-3-030-37557-7 978-3-030-37558-4 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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