Air Quality Monitoring Architecture Based on LoRaWAN and FIWARE on a University Campus
Abstract
Air pollution harms human health and damages natural ecosystems, contributing to respiratory and cardiovascular diseases, as well as being a significant cause of climate change. In environments with high human traffic, such as university campuses, an architectural solution utilizing low-cost Internet of Things (IoT) devices can be helpful in identifying and classifying pollutants. This work presents an architecture for monitoring air pollutants and managing IoT devices and communication gateways. The FIWARE middleware was integrated into the proposed architecture through the development of an integration proxy to handle data processing and persistent storage. Furthermore, proof-of-concept tests were conducted, and the results are promising, indicating that the solution can capture a large volume of data even in closed environments.
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