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Smart Data Models

PhreaticObserved

Version: 0.0.2

Description

The Data Model is intended to measure, observe and control the level and quality of groundwater at a given time (T), by a fixed or mobile monitoring system. Depending on the device used, it is also possible to measure the quality of water such as its electrical conductivity, its salt content, its temperature, etc. In this case, the values measured are processed by the Data Model WaterObserved and WaterQualityObserved. Additional Information about Attributes: For attributes dedicated to water, a MetaData attribute can also be used. it contains the TimeStamp in seconds, the qualification and control status of the measurement.

Specification

Link to the interactive specification

Link to the specification

Enlace a la Especificación en español

Lien vers le spécification en français

Link zur deutschen Spezifikation

Link alla specifica

仕様へのリンク

链接到规范

사양 링크

Examples

Link to the example (keyvalues) for NGSI v2

Link to the example (keyvalues) for NGSI-LD

Link to the example (normalized) for NGSI-V2

Link to the example (normalized) for NGSI-LD

Link to the example (geojson feature) for NGSI-LD

Link to the example (keyvalues) for NGSI v2 in CSV format

Link to the example (keyvalues) for NGSI-LD in CSV format

Link to the example (normalized) for NGSI-V2 in CSV format

Link to the example (normalized) for NGSI-LD in CSV format

Dynamic Examples generation

Link to the Generator of NGSI-LD normalized payloads compliant with this data model. Refresh for new values

Link to the Generator of NGSI-LD keyvalues payloads compliant with this data model. Refresh for new values

Link to the Generator of geojson feature format payloads compliant with this data model. Refresh for new values

PostgreSQL schema

Link to the PostgreSQL schema of this data model

Contribution

If you have any issue on this data model you can raise an issue or contribute with a PR

If you wish to develop your own data model you can start from contribution manual. Several services have been developed to help with: