Research Area:  Internet of Things

Abstract:

Software is critical in managing environmental sensor data. The Open Geospatial Consortium (OGC) developed the OGC SensorThings API (STA) standard to address variability across sensors, observed variables, platforms, and protocols, facilitating development of sensing and Internet of Things applications. This paper details a Python/Django implementation of the STA application programming interface (API) and a PostgreSQL/Timescale implementation of the STA data model, enhancing availability of robust software for management and sharing of environmental sensor data. STA offers a RESTful interface with JSON data encoding, aligning with modern development patterns and facilitating interoperability. Integration of metadata from the Observations Data Model ensures data can be adequately described and interpreted. STAs flexibility allows lightweight query responses or comprehensive metadata inclusion, and a complementary data management API enhances use of STA within multi-user systems. Open-source code and deployment instructions in GitHub enable standalone or cloud deployments, enhancing accessibility and usability for researchers and practitioners.

Keywords:  
OGC SensorThings API
Data model
Environmental sensors
ODM
Water resources
HydroServer

Author(s) Name:  Horsburgh, J. S., Lippold, K., & Slaugh, D. L.

Publisher name:  Elsevier

DOI:  https://doi.org/10.1016/j.envsoft.2024.106241

Volume Information:  Volume 183

Paper Link:   https://www.sciencedirect.com/science/article/pii/S1364815224003025#kwrds0010