Dehems/SensorMl

Links

• SensorML --- OGC web-site;

• SensorML --- VAST web-site;

• SensorML --- SourceForge web-site;

• A Sensor Model Language --- Moving Sensor Data onto the Internet;

• Sensor Web Enablement;

Papers

• Creation of Specific SensorML Process Models;

• Using SensorML to describe a Complete Weather Station;

• OpenGIS Sensor Model Language (SensorML) Implementation Specification;

• SensorML for Grid Sensor Networks;

Concepts

Detector

• the most simple processing element;
• it has exactly one input (usually a phenomenon) and exactly one output (usually a scalar value);
• it enables to describe measurement parameters:
  • calibration curve;
  • random error curve;
  • spectral response curve;
  • impulse response curve;
  • spatial response curve;
  • temporal response curve;
• references:

  • (1) (section II.B.);

  • (2);

System

• it can contain multiple subsystems (usually detectors), and it can have several inputs and several outputs;
• it also describes the way in which the inputs and outputs (of the system and the subsystems) are linked together;
• references:

  • (1) (section II.B.);

  • (2);

Input and output

• characterized by a name, definition (as an URN) and unit of measure (as an URN);

• the following examples were taken from (2);

<inputs>
        <InputList>
                <input name="temperature">
                        <swe:Quantity
                                        definition="urn:ogc:def:phenomenon:temperature"
                                        uom="urn:ogc:def:unit:celsius"/>
                </input>
        </InputList>
</inputs>

<outputs>
        <OutputList>
                <output name="measuredTemperature">
                        <swe:Quantity
                                        definition="urn:ogc:def:phenomenon:temperature"
                                        uom="urn:ogc:def:unit:celsius"/>
                </output>
        </OutputList>
</outputs>

Sensor and measurement system

• specific kind of systems, that represent either complete systems, or full sensor or a full sampling system;
• for measurement systems it provides:
  • component structure;
  • position (location and orientation);
  • technical characteristics (meta information);
• references:

  • (1);

  • (2);

Process model and chain

• process model --- an atomic processing block, with a clearly defined interface (process method).
• process chain --- a chain of process models or chains.
• references:

  • (1) (section II.C. and III. entirely);

Bibliography

• Creation of Specific SensorML Process Models;

• Using SensorML to describe a Complete Weather Station;