ColourChroma

November 2, 2023 · View on GitHub

Smart Data Models

ColourChroma

Version: 0.0.1

Description

Smart Data Models Program adaptation of the original IoTData data Models. This Resource describes the colour using chroma conventions. Properties are 'hue', 'saturation', 'csc', and 'ct'. The Property 'hue' is the hue angle, it is an integer value as defined by the CIECAM02 model definition (see reference [CIE CIE159:2004]). The Property 'saturation' is an integer value as defined by the CIECAM02 model definition (see reference [CIE CIE159:2004]). The Property 'maximumsaturation' is the upper bound on the saturation supported by the Device. If not present the maximum value for 'saturation' is 32767. The Property 'csc' is the colour space coordinates in CIE colour space. The first item in the array is the X coordinate. The second item in the array is the Y coordinate. The Property 'nct' is the Mired colour temperature. The Resource provides the colour using chroma conventions.

This data model comes from the original Open Connectivity Foundation repository. It has been extended to comply with NGSI requirements.

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

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: