RenderingIndex

November 2, 2023 · View on GitHub

Smart Data Models

RenderingIndex

Version: 0.0.1

Description

Smart Data Models Program adaptation of the original IoTData data Models. This Resource describes a Colour Rendering Index (CRI). The Property 'cri' is an number. A colour rendering index (CRI) is a quantitative measure of the ability of a light source to reveal the colours of various objects faithfully in comparison with an ideal or natural light source. Light sources with a high CRI are desirable in colour-critical applications such as neonatal care and art restoration. It is defined by the International Commission on Illumination (CIE) as follows:[1] Colour rendering: Effect of an illuminant on the colour appearance of objects by conscious or subconscious comparison with their colour appearance under a reference illuminant. The value often quoted as 'CRI' on commercially available lighting products is properly called the CIE Ra value, 'CRI' being a general term and CIE Ra being the international standard colour rendering index

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: