Within the OSIRIS project the integration of sensor data into many different types of applications is one of the core objectives. For achieving this integration OSIRIS uses and improves a service oriented architecture which is standardized by the Open Geospatial Consortium (OGC): The Sensor Web Enablement (SWE) framework. This demonstrator aims at showing basic capabilities and features of the SWE technology.

Within this demonstrator the following components of the SWE framework are used:

  - Sensor Observation Data (SOS): This is a standardized web service interface which allows requesting data measured by sensors. Thus every client can retrieve the data it needs. In addition the interface allows uploading sensor data to such a web service for making it publically accessible. These two functions are used within this demonstrator.

  - Observations & Measurements (O&M): As the interface for accessing sensor data is standardized there is also a need for a standardized format to return the sensor data. This encoding is provided by the O&M standard.

  - Sensor Model Language (SensorML): Besides the sensor data it is often also necessary to retrieve information about the sensors or how the measurement process was performed. This kind of metadata can be encoded in a standard format, too. The format that provides these capabilities is SensorML.

Publishing Sensor Data
For making the data measured by a home weather station available on the internet in an interoperable way, it is necessary to insert it into a Sensor Observation Service (SOS). In order to facilitate this process a so called Home Weather Station Bridge was developed. This component reads the measurements from the weather station and inserts it via a standardized operation into an SOS. The following screenshot gives an impression of this tool.

Furthermore this link shows a video on how this Home Weather Station Bridge can be used.

Accessing Sensor Data
As described above the data of the weather stations connected to the Home Weather Station Bridge is inserted into an OGC Sensor Observation Service (SOS).

If you have a client for such a SOS you can access the data via this link:
http://v-swe.uni-muenster.de:8080/WeatherSOS/sos

However you don’t have to deal directly with the SOS interface. Instead you can use this link for accessing a web based display of the weather station positions:
http://v-swe.uni-muenster.de:8080/WeatherSweClient/index.html

If you click on one of the stations (see above) you will be provided a list of the phenomena the station is measuring. You may click on the entries within the list of phenomena (e.g. urn:x-ogc:def:property:OGC:Temperature) in order to access a more detailed display of the measured data. A link to a time series display as shown below will be opened:

This link shows a video that gives an impression how one can use the two client applications in order to access the sensor positions as well as the measured values.

Downloading and Installing the Home Weather Station Bridge
Currently the ELV WS-2500 weather station is supported. However, additionally also any text format of weather measurements can be integrated into the Home Weather Station Bridge. If you are using another station than the ELV WS-2500 please contact jirka@uni-muenster.de for further information and support.

If you would like to use the Home Weather Station Bridge with an ELV WS-2500 you can download the current version here: http://ifgiweb.uni-muenster.de/~jirka/HWS.zip

For using the software, please follow these instructions:

1. Requirements

  a. Installed Java Runtime Environment

  b. Windows operating system

  c. ELV WS-2500 weather station

2. Unzip the downloaded file to any directory

3. Please copy the file RXTXcomm.jar from the HWS\lib folder to the folder \jre\lib\ext of the Java Runtime Environment that you are using

4. Please copy the file rxtxSerial.dll from the HWS\SERIAL_DRIVER\Windows\i368-mingw32\ folder to the folder \jre\ of the Java Runtime Environment that you are using

5. Double click the file start.bat in order to execute the Home Weather Station Bridge