The data model WaterQualityObserved has been expanded to include 3 new properties:
- BOD: Biochemical oxygen demand (BOD) is the amount of dissolved oxygen (DO) needed (i.e. demanded) by aerobic biological organisms to break down organic material present in a given water sample at certain temperature over a specific time period
- COD: Chemical oxygen demand (COD) is an indicative measure of the amount of oxygen that can be consumed by reactions in a measured solution
- PO4: Concentration of phosphates
Additionally, the data model of WaterQualityObserved has been moved from the dataModel.Environment repo to the dataModel.WaterQuality subject.
In order to preserve the relationship with the SmartEnvironment domain the subject dataModel.WaterQuality has been linked to it.
The 8 data models in the repository dataModel.WaterNetworkManangement in the Smart Water domain have been updated to be aligned with the shared properties of GSMA commons in the shared properties common-schema.json..
This change does not affect the existing data models but with the extensions of these elements.
The database for the searching on data models, properties and their descriptions has been expanded to allow filtering also by :
- NGSI type (one of Property, Relationship or Geoproperty)
- data type (string, number, boolean, array, object, etc)
Additionally, it has been updated containing more than 11.000 items
Accessible from the front page in this widget (Structured check)
You can export the results
There is a new subject focused on the data models, dataModel.EnergyCIM, of the Common Information Model (CIM) specified by the IEC61970. It is inside the SmartEnergy domain.
Due to a large number of data models (403), the examples will be provided later. it’s in the process of generating the README.md for all of them.
Additionally, some of the properties could have some mismatch that it will be fixed as soon as detected (the lack of examples).
Thanks to the RWTH university for its contribution.
The contribution manual remains in the same link, https://bit.ly/contribution_manual, however, it has been updated slightly to insert the new testing possibilities.
There is a new repository for social media data models created at the Cross sector
find out here
Feel free to PR for populating it
There is a new data model StorageBattery
The storage battery data model is intended to describe the technical characteristics of the battery and the charging and discharging conditions of the energy. The charging functionalities apply from a power source which can be an ‘on-board system, solar panel, wind turbine, generator, power supply’. Hydraulic sources are not included in this version. The discharge functions apply to all types of the system requiring energy consumption from a storage battery. *Remark* This Data Model can be used directly as the main entity to describe the device *Battery Storage* or as a sub-entity of the Data Model *DEVICE* using a reference by the *refDevice* attribute.
We’ve launched the @smartdatamodels account for making it easier to follow updates on the Smart Data Models initiative.
Every time a new post (announcing updates or editing former posts), there will be a twitt informing you in the account @smartdatamodels.
There are two new data models ElectroMagneticObserved and IndoorEnvironmentObserved
ElectroMagneticObserved. The Data Model is intended to measure excessive electric and magnetic fields (EMFs), or radiation in a work or public environment according to the level of exposure to electromagnetic fields on the air. The frequency of the Hertzian waves is conventionally lower than 300 GHz, propagating in space without artificial guide. They are between 9 kHz and 300 GHz.
IndoorEnvironmentObserved. Observation of air and climate conditions for indoor environments.
Located in the Subject Environment