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Management of Sensor Data with Open Standards
Philipp Hertweck
author
Tobias Hellmund
author
Hylke van der Schaaf
author
Jürgen Moßgraber
author
Jan-Wilhelm Blume
author
2019
Iscram
Valencia, Spain
English
In an emergency, getting up-to-date information about the current situation is crucial to orchestrate an efficient response. Due to its objectivity, preciseness and comparability, time-series data offer broad possibilities to manage emergency incidents. 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 standard, an open, unified way to interconnect devices throughout the IoT, which is implemented by the FRaunhofer-Opensource-SensorThings-Server (FROST). This paper presents the standard, its implementation and the application to the domain of crisis management.
SensorThings API
FROST
Time series data
sensor data management
data storage
exported from refbase (http://idl.iscram.org/show.php?record=1859), last updated on Fri, 22 Nov 2019 10:54:40 +0100
text
http://idl.iscram.org/files/philipphertweck/2019/1859_PhilippHertweck_etal2019.pdf
PhilippHertweck_etal2019
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management
Iscram 2019
Franco
Z
editor
González
J
J
editor
Canós
J
H
editor
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
2019
Iscram
Valencia, Spain
conference publication
978-84-09-10498-7
2411-3387
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