Now all data models have an interactive specification. (As long as they have examples)
This is the first step to deeper interactive services for every data model contributed.
See the example for weatherForecast.
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Category: Smart Water Domain
First Survey to users and contributors of Smart Data Models
Include userAlias in common-schema.json
The file common-schema.json compiles those properties massively used across the different data models in the different domains.
The property userAlias has been included to store those anonymous identifiers of a user that cannot be traced back to the user.
It can be referenced in any data model just by including this code
“userAlias”: {
“$ref” : “https://smart-data-models.github.io/data-models/common-schema.json#/definitions/userAlias”
}
Renamed subjects RawWaterManagement and WaterNetworkManagement
The subjects RawWaterManagement and WaterNetworkManagement are now being renamed to be more water-related.
RawWaterManagement is now OpenChannelManagement because these models help to describe the management of water through open channels.
WaterNetworkManagement is now WaterDistributionManagementEPANET because these data models are capable of describing the infrastructure and providing an output to EPANET together with the software developed in the FIWARE4Water project.
Updated the contribution manual
This a general review of the contributions’ manual with these changes:
- Recommendation how to document a property that is an object referencing to a shared schema
- Change order in the elements (schema recommendation is the most demanded documentation and it is being placed at the beginning)
- Minor reviews, contact point, etc.
Located in the upper menu of the site.
Update the database for searching properties and descriptions
It has been updated the database for searching properties, two main improvements:
- Â Performance (now it is a database query instead of the former static file)
- Â The reference model of the property
- Â The format (uri, date-time, etc) for string properties.
Alpha version of the service for generating an NGSI-LD payload based on a Smart Data Model
This is an alpha version (so you can expect errors and not being complete). Use it at your own risk. Please report errors and suggestions at info@smartdatamodels.org
Call: https://smartdatamodels.org/extra/ngsi-ld_generator.php
Parameters: (Mandatories)
- schemaUrl: The link to the RAW version of the json schema (see example)
- email: your email
Use any data model from Smart Data Models initiative and paste it into the form. Then you’ll get a page with a random payload compliant with the data model. Refresh for more.
You can also use this form
New data models for waterNetworkManagement
New data models for the dataModel.WaterNetworkManagement Subject
- WaterNetwork. This entity contains a harmonized description of a generic network made for the Water Network Management domain. This entity is primarily associated with the water network management vertical and related IoT applications.
- SimulationResult. This entity contains a harmonized description of a generic simulation result made for the Water Network Management domain. This entity is primarily associated with the water network management vertical and related IoT applications.
- SimulationScenario. This entity contains a harmonized description of a generic simulation scenario made for the Water Network Management domain. This entity is primarily associated with the water network management vertical and related IoT applications.
These data models allow integration with the water network simulation software EPANET.
Script for checking a data model submission
In the directory utils of the umbrella repository data-models there is a new python script that checks if a schema is properly documented and if the payload is correctly located and validates against the schema.
New data model Anomaly
the new data model Anomaly is located in the subject datamodel.Alert:
Anomaly: This entity contains a harmonized description of an anomaly.
Slack channel
Validate a payload with a data model