Abstract
We present our explorations towards a low-cost solution for creating an autonomous environmental data archival system. AiRCHIVE is a software platform for providing open access to sensor data with different ways, that account for machine interoperability. It is built with Raspberry Pi, a low-cost, pocket-size computer, and Air Pi a low-cost amateur sensory kit for air quality monitoring. Raspberry Pi with AirPi allowed us to easily capture raw sensor data and store them in a local database, and with AiRCHIVE we deployed "on sensor" a web server that provides with a set of services for data preprocessing and dissemination, including an implementation of OGC/SOS services and the OAI/PMH harvesting protocol.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014 |
| Editors | D.P. Ames, N.W.T. Quinn, A.E. Rizzoli |
| Publisher | International Environmental Modelling and Software Society |
| Pages | 1192-1199 |
| Volume | 2 |
| ISBN (Print) | 9788890357442 |
| Publication status | Published - 2014 |
| Event | 7th International Congress on Environmental Modelling and Software, iEMSs 2014 - San Diego, United States Duration: 15 Jun 2014 → 19 Jun 2014 |
Conference/symposium
| Conference/symposium | 7th International Congress on Environmental Modelling and Software, iEMSs 2014 |
|---|---|
| Country/Territory | United States |
| City | San Diego |
| Period | 15/06/14 → 19/06/14 |
Keywords
- Environmental data archive
- Low-cost sensors
- Metadata harvesting
- Open archives
- Semantic web
- Sensor observations
- Sharing and reuse
- SOS