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BUILDING A NEW GENERATION OF SENSOR WEB IMPLEMENTATIONS FOR HYDROLOGY
Many applications ranging from environmental monitoring and warning systems for natural hazards to supervision tools for public infrastructures have shown the high degree of flexibility and the mature state of the OGC Sensor Web Enablement (SWE) architecture. At the same time all these practical deployments of SWE components helped to identify a set of topics which will help to make the next generation of SWE components even more powerful. This presentation will introduce two selected topics which are, among other questions, addressed by a joint project of the German Federal Waterways Research and Engineering Institute, the Wupperverband (a German water authority) and the Open Source Initiative 52° North:
Generalization of sensor data: when retrieving sensor data with a high temporal resolution (e.g. one measurement per minute) for large time spans (e.g. 10 years) large amounts of sensor data have to be transmitted. However, when creating a diagram view of a time series, there is no need for more measurements than the width of the diagram in pixels. Thus, by taking into account the resolution which is needed for a specific application, generalization mechanisms are able to drastically reduce the amount of transmitted data.
Validation of sensor data: sensor measurements can be erroneous (e.g. due to defective sensor hardware). By applying technologies like event stream processing, measurement patterns can be detected which indicate that certain measurements are likely to be wrong and should either be dismissed or double-checked.
In summary this presentation offers an insight into two currently ongoing SWE development activities that will lead to a new generation of SWE implementations. Furthermore it will be shown how these developments are practically deployed in several hydrology related use cases.
All developments shown in this presentation are available as Open Source Software through 52° North.
Simon Jirka - 52° North
Christoph Stasch - University of Muenster