New data model StorageBatteryMeasurement in dataModel.Battery subject

1 new data model in the subject datamodel.Battery

StorageBatteryMeasurement. Storage Battery Observed Data Model is intended to measure the remaining energy capacity in a battery, which can be redistributed in the form of electrical energy. These functions apply from a source that depends on the type of battery (a reference to the attribute ‘batteryType’ of the Data Model StorageBatteryDevice).

Thanks to the contributors

Contribution checklist

There is a new option in the main menu Data Models -> Contribution Checklist

It is strongly recommended to pass every element before submitting your new data model.

See below the checklist

    schema.json

    1.-
    2.-

    3.-

    4.-

    Examples

    5.-
    6.-

    Optional documents

    7.-
    8.-
    9.-
    10.-

    Contribution

    11.-

    Comments




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    New NGSI linked data generator for every data model

    Now the README file of every data model includes a link to the generator of NGSI-LD payloads compliant with the data model.

    As you can see in the image below there is a new section “Dynamic examples generation

    There is the sentence “Link to the Generator of NGSI-LD payloads compliant with this data model. Refresh for new values”. By clicking the Generator link an example of payload appears on the web page. Refreshing (F5) generates new payloads.

     

    Updated interactive specification

    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.

    First Survey to users and contributors of Smart Data Models

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      Q2: What services do you use?

      1.- Search data models
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      Search data modelsValidation of payloadValidate of json schema before contributionGenerate a NGSI-LD payload out of a schema
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      Include userAlias in common-schema.json

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      “userAlias”: {
      “$ref” : “https://smart-data-models.github.io/data-models/common-schema.json#/definitions/userAlias”
      }

      Updated the contribution manual

      This a general review of the contributions’ manual with these changes:

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      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

      Example: https://smartdatamodels.org/extra/ngsi-ld_generator.php?schemaUrl=https://raw.githubusercontent.com/smart-data-models/dataModel.Streetlighting/f56f5a7933ab05d7fce1d5adc0847f25a099cdb4/StreetlightModel/schema.json&email=alberto.abella@fiware.org

      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

        This form generates a NGSI-LD payload compliant with a json schema from Smart Data Models.


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