NanoSen-AQM: From Sensors to Users
| Autor: | Alberto Cardoso, Luis Rato, Pedro Lucas, Bernardete Ribeiro, Jorge Sa Silva, Daniel Coutinho, Filipe Araujo, Pedro Salgueiro, Vítor Beires Nogueira, Joel P. Arrais, José Saias, Paulo Gil, Catarina Silva |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Pollution
cloud platform Computer science Event (computing) media_common.quotation_subject Real-time computing Computer applications to medicine. Medical informatics General Engineering Air pollution R858-859.7 Data reliability ComputerApplications_COMPUTERSINOTHERSYSTEMS air quality monitoring Active queue management medicine.disease_cause Set (abstract data type) Air quality monitoring medicine low-cost nano-sensors Air quality index media_common |
| Zdroj: | International Journal of Online and Biomedical Engineering, Vol 16, Iss 04, Pp 51-62 (2020) |
| ISSN: | 2626-8493 |
| Popis: | With the raising of environmental concerns regarding pollution, interest in monitoring air quality is increasing. However, air pollution data is mostly originated from a limited number of government-owned sensors, which can only capture a small fraction of reality. Improving air quality coverage in-volves reducing the cost of sensors and making data widely available to the public. To this end, the NanoSen-AQM project proposes the usage of low-cost nano-sensors as the basis for an air quality monitoring platform, capa-ble of collecting, aggregating, processing, storing, and displaying air quality data. Being an end-to-end system, the platform allows sensor owners to manage their sensors, as well as define calibration functions, that can im-prove data reliability. The public can visualize sensor data in a map, define specific clusters (groups of sensors) as favorites and set alerts in the event of bad air quality in certain sensors. The NanoSen-AQM platform provides easy access to air quality data, with the aim of improving public health. |
| Databáze: | OpenAIRE |
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