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An Environmental Sensor Data Suite Using the OGC SensorThings API

  • Hylke van der SchaafEmail author
  • Jürgen Moßgraber
  • Sylvain Grellet
  • Mickaël Beaufils
  • Kathi Schleidt
  • Thomas Usländer
Conference paper
  • 98 Downloads
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 554)

Abstract

In many application domains sensor data contributes an important part to the situation awareness required for decision making. Examples range from environmental and climate change situations to industrial production processes. All these fields need to aggregate and fuse many data sources, the semantics of the data needs to be understood and the results must be presented to the decision makers in an accessible way. This process is already defined as the “sensor to decision chain” [11] but which solutions and technologies can be proposed for implementing it?

Since the Internet of Things (IoT) is rapidly growing with an estimated number of 30 billion sensors in 2020, it offers excellent potential to collect time-series data for improving situational awareness. The IoT brings several challenges: caused by a splintered sensor manufacturer landscape, data comes in various structures, incompatible protocols and unclear semantics. To tackle these challenges a well-defined interface, from where uniform data can be queried, is necessary. The Open Geospatial Consortium (OGC) has recognized this demand and developed the SensorThings API (STA) standard, an open, unified way to interconnect devices throughout the IoT. Since its introduction in 2016, it has shown to be a versatile and easy to use standard for exchanging and managing sensor data.

This paper proposes the STA as the central part for implementing the sensor to decision chain. Furthermore, it describes several projects that successfully implemented the architecture and identifies open issues with the SensorThings API that, if solved, would further improve the usability of the API.

Keywords

Open geospatial standards Sensor data management Architecture 

Notes

Acknowledgments

The HERACLES project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 700395.

The beAWARE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 700475.

Funding for BRGM work is provided by its joint IT Research Center ‘INSIDE’ dedicated to innovation in Environmental Information Systems with the French National Agency for Biodiversity (AFB), French Museum of Natural History (MNHN) and French Marine Agency (IFREMER).

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Copyright information

© IFIP International Federation for Information Processing 2020

Authors and Affiliations

  • Hylke van der Schaaf
    • 1
    Email author
  • Jürgen Moßgraber
    • 1
  • Sylvain Grellet
    • 2
  • Mickaël Beaufils
    • 2
  • Kathi Schleidt
    • 3
  • Thomas Usländer
    • 1
  1. 1.Fraunhofer IOSBKarlsruheGermany
  2. 2.BRGMOrléans Cedex 2France
  3. 3.DataCove e.U.ViennaAustria

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