A Hybrid Application For Real-Time Air Quality Monitoring
With the raising concerns for the environment, interest in monitoring air quality is likely to increase in the near future. However, most data comes from a limited number of government-owned sensors, which can only capture a small fraction of reality. Improving data coverage thus involves reducing t...
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| Other Authors: | , , , , , , , , , , , |
| Format: | article |
| Language: | por |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10174/27183 |
| Country: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/27183 |
| Summary: | With the raising concerns for the environment, interest in monitoring air quality is likely to increase in the near future. However, most data comes from a limited number of government-owned sensors, which can only capture a small fraction of reality. Improving data coverage thus involves reducing the cost of sensors and make data widely available. For this, we will use a very high number of low-cost sensors as the basis for an air quality monitoring platform, capable of collecting, aggregating, storing and displaying data. This platform will use stream-based technologies capable of scaling for large numbers of sensors and users. The resulting NanoSen-AQM platform will provide vast amounts of air quality data to the public, with the aim of improving public health. |
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