TechnicalCabinetDevice
October 26, 2023 · View on GitHub
TechnicalCabinetDevice
Version: 0.0.1
Description
Technical Cabinet Device Data Model is intended to to describe the technical characteristics of the Device, designed to be placed in an urban or interurban environment. The main objective of these cabinets for this Data Model is to protect the electrical equipment necessary for the control, surveillance, reading and management of urban lighting, signaling, video and electrical distribution. The scope of use of some of these cabinets can extend to an additional protection for installations of modular apparatuses of telephony, data processing, meteorological stations, photo-voltaic stations, wind turbines stations, telecommunications, networks, data, bre Optics , etc. Remark : This Data Model can be used directly as a main entity to describe the device Technical Cabinet or as a sub-entity of the Data Model DEVICE using a reference by the refDevice attribute. It can also refer to the list of all the components it contains, with the refDeviceList attribute, using the Data Model 'DEVICE'
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
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:
- Test data model repository including the schema and example payloads, etc
- Generate PostgreSQL schema to help create a table, create type, etc
