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POC Azure IOT Digital Twins modeling

Unlock the Power of IoT with Azure Digital Twin Modeling

🔮 About

This proof of concept uses some components from the Digital Twins Definition Language (DTDL) to build and maintain a simple product.

DTDL

A model is similar to a class in an object-oriented programming language, defining a data shape for one particular concept in your real work environment. Models have names (such as Room or TemperatureSensor), and contain elements such as properties, telemetry, and relationships that describe what this type of entity in your environment does. Later, you'll use these models to create digital twins that represent specific entities that meet this type description.

Twin type models can be written in any text editor. The DTDL language follows JSON syntax, so you should store models with the extension .json. Using the JSON extension will enable many programming text editors to provide basic syntax checking and highlighting for your DTDL documents.

References

📺 Tutorial

Youtube promotional banner

🎉 Features

  • Simple interface that include multiple components to build a simple and isolated model
  • Tests included to check the model integrity.
  • Commands, Telemetry and properties integrated

:shipit: Simple model

{
    "@context": "dtmi:dtdl:context;2",
    "@id": "dtmi:com:example:thegenericmachine;1",
    "@type": "Interface",
    "displayName": "thegenericmachine",
    "contents": [
      {
        "@type": "Telemetry",
        "name": "temperature",
        "schema": "double"
      },
      {
        "@type": "Property",
        "name": "deviceStatus",
        "schema": "string"
      },
      {
        "@type": "Command",
        "name": "reboot",
        "request": {
          "name": "delay",
          "schema": "integer"
        }
      }
    ]
  }

📡 Usage

Download the source code

git clone https://github.com/UlisesGascon/POC-azure-iot-digital-twins-modeling
cd POC-azure-iot-digital-twins-modeling

Install the project dependencies

nvm use
npm i

Run the linter:

npm run lint
npm run lint:fix

Run the tests:

npm run test
npm run test:coverage