An Environmental Sensor Data Suite Using the OGC SensorThings API

Hylke Van Der Schaaf, Jürgen Moßgraber, Sylvain Grellet, Mickaël Beaufils, Kathi Schleidt, Thomas Usländer

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    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.
    Original languageEnglish
    Title of host publicationInternational Symposium on Environmental Software Systems (ISESS 2020)
    Subtitle of host publicationEnvironmental Software Systems. Data Science in Action
    Place of PublicationWageningen
    PublisherSpringer
    Chapter22
    Pages228-241
    ISBN (Electronic)9783030398156
    ISBN (Print)9783030398149
    DOIs
    Publication statusPublished - 29 Jan 2020

    Publication series

    NameEnvironmental Software Systems. Data Science in Action
    Volume554
    ISSN (Print)1868-4238
    ISSN (Electronic)1868-422X

    Fingerprint

    Application programming interfaces (API)
    Sensors
    Semantics
    Electric fuses
    Climate change
    Time series
    Decision making
    Network protocols
    Internet of things

    Cite this

    Van Der Schaaf, H., Moßgraber, J., Grellet, S., Beaufils, M., Schleidt, K., & Usländer, T. (2020). An Environmental Sensor Data Suite Using the OGC SensorThings API. In International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action (pp. 228-241). (Environmental Software Systems. Data Science in Action; Vol. 554). Wageningen: Springer. https://doi.org/10.1007/978-3-030-39815-6_22
    Van Der Schaaf, Hylke ; Moßgraber, Jürgen ; Grellet, Sylvain ; Beaufils, Mickaël ; Schleidt, Kathi ; Usländer, Thomas. / An Environmental Sensor Data Suite Using the OGC SensorThings API. International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Wageningen : Springer, 2020. pp. 228-241 (Environmental Software Systems. Data Science in Action).
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    Van Der Schaaf, H, Moßgraber, J, Grellet, S, Beaufils, M, Schleidt, K & Usländer, T 2020, An Environmental Sensor Data Suite Using the OGC SensorThings API. in International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Environmental Software Systems. Data Science in Action, vol. 554, Springer, Wageningen, pp. 228-241. https://doi.org/10.1007/978-3-030-39815-6_22

    An Environmental Sensor Data Suite Using the OGC SensorThings API. / Van Der Schaaf, Hylke; Moßgraber, Jürgen; Grellet, Sylvain; Beaufils, Mickaël; Schleidt, Kathi; Usländer, Thomas.

    International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Wageningen : Springer, 2020. p. 228-241 (Environmental Software Systems. Data Science in Action; Vol. 554).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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    Van Der Schaaf H, Moßgraber J, Grellet S, Beaufils M, Schleidt K, Usländer T. An Environmental Sensor Data Suite Using the OGC SensorThings API. In International Symposium on Environmental Software Systems (ISESS 2020): Environmental Software Systems. Data Science in Action. Wageningen: Springer. 2020. p. 228-241. (Environmental Software Systems. Data Science in Action). https://doi.org/10.1007/978-3-030-39815-6_22