|
SensorML is an approved Open Geospatial Consortium standard. SensorML provides standard models and an XML encoding for describing sensors and measurement processes. SensorML can be used to describe a wide range of sensors, including both dynamic and stationary platforms and both in-situ and remote sensors. Functions supported include * sensor discovery * sensor geolocation * processing of sensor observations * a sensor programming mechanism * subscription to sensor alerts Examples of supported sensors are * ''stationary, in-situ'' – chemical “sniffer”, thermometer, gravity meter * ''stationary, remote'' – stream velocity profiler, atmospheric profiler, Doppler radar * ''dynamic, in-situ'' – aircraft mounted ozone “sniffer”, GPS unit, dropsonde * ''dynamic, remote'' – satellite radiometer, airborne camera, soldier-mounted video == What is it? == SensorML provides standard models and an XML encoding for describing any process, including the process of measurement by sensors and instructions for deriving higher-level information from observations. It provides a provider-centric view of information in a sensor web, which is complemented by Observations and Measurements which provides a user-centric view. Processes described in SensorML are discoverable and executable. All processes define their inputs, outputs, parameters, and method, as well as provide relevant metadata. SensorML models detectors and sensors as processes that convert real phenomena to data. SensorML does not encode measurements taken by sensors; measurements can be represented in TransducerML, as observations in Observations and Measurements, or in other forms, such as IEEE 1451. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「SensorML」の詳細全文を読む スポンサード リンク
|