NanoSen-AQM: From Sensors to Users
| dc.contributor.author | Lucas, Pedro | |
| dc.contributor.author | Silva, Jorge | |
| dc.contributor.author | Araujo, Filipe | |
| dc.contributor.author | Silva, Catarina | |
| dc.contributor.author | Gil, Paulo | |
| dc.contributor.author | P. Aarrais, Joel | |
| dc.contributor.author | Coutinho, Daniel | |
| dc.contributor.author | Salgueiro, Pedro | |
| dc.contributor.author | Saias, José | |
| dc.contributor.author | Nogueira, Vítor | |
| dc.contributor.author | Rato, Luís | |
| dc.date.accessioned | 2022-05-03T14:11:38Z | |
| dc.date.available | 2022-05-03T14:11:38Z | |
| dc.date.issued | 2020-04-04 | |
| dc.description.abstract | 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. | por |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
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| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | pds@uevora.pt | |
| dc.identifier.authoremail | jsaias@uevora.pt | |
| dc.identifier.authoremail | vbn@uevora.pt | |
| dc.identifier.authoremail | lmr@uevora.pt | |
| dc.identifier.citation | ucas, P., Silva, J., Araujo, F., Silva, C., Gil, P., Arrais, J. P., Coutinho, D., Salgueiro, P., Rato, L., Saias, J., Nogueira, V., Cardoso, A., & Ribeiro, B. (2020). NanoSen-AQM: From Sensors to Users. International Journal of Online and Biomedical Engineering (iJOE), 16(04), pp. 51–62. https://doi.org/10.3991/ijoe.v16i04.11871 | por |
| dc.identifier.doi | http://dx.doi.org/10.3991/ijoe.v16i04.11871 | por |
| dc.identifier.scientificarea | 283 | por |
| dc.identifier.uri | https://online-journals.org/index.php/i-joe/article/view/11871 | |
| dc.identifier.uri | http://hdl.handle.net/10174/31972 | |
| dc.language.iso | por | por |
| dc.peerreviewed | yes | por |
| dc.publisher | International Journal of Online and Biomedical Engineering (iJOE) | por |
| dc.rights | openAccess | por |
| dc.subject | air quality monitoring | por |
| dc.subject | ow-cost nano-sensors | por |
| dc.subject | cloud platform | por |
| dc.title | NanoSen-AQM: From Sensors to Users | por |
| dc.type | article |