Merge pull request #294183 from dominicbetts/iiot-dataspace-patch

IIoT: Fixes to IIoT dataspaces article

Author: prmerger-automator[bot]

articles/iot/howto-iot-industrial-dataspaces.md

@@ -13,15 +13,14 @@ ms.date: 1/31/2025
 
 # Enable an industrial dataspace on Azure
 
-Many manufacturers need to provide data about their manufactured products to their customers in digital and machine-readable from. Sometimes a law such as the European Commission's [Digital Product Passport](https://data.europa.eu/news-events/news/eus-digital-product-passport-advancing-transparency-and-sustainability) legislation mandates this requirement. To provide this data, manufacturers often create an industrial dataspace between their enterprise systems and their customer's system. The dataspace provides a secure, point-to-point communication channel for digital product data between the manufacturer and the customer.
+Many manufacturers need to provide data about their manufactured products to their customers in digital and machine-readable from. Sometimes a law such as the European Commission's [Digital Product Passport](https://data.europa.eu/news-events/news/eus-digital-product-passport-advancing-transparency-and-sustainability) legislation mandates this requirement. To provide this data, manufacturers often create an industrial dataspace between their enterprise systems and their customer's systems. The dataspace provides a secure, point-to-point communication channel for digital product data between the manufacturer and the customer.
 
 ## What is an industrial dataspace?
 
 An industrial dataspace is a virtual environment designed to facilitate the secure and efficient exchange of data between different organizations within an industrial ecosystem, focusing on the following key principles:
 
 * **Data sovereignty**: It ensures that data providers retain control over their data, including who can access it and under what conditions.
 * **Interoperability**: It uses standardized protocols and governance models to enable seamless data sharing across various platforms and industries.
-* **Security**: It incorporates robust security measures to protect data integrity and confidentiality.
 * **Collaboration**: It supports collaborative efforts by allowing different stakeholders to share and utilize data for mutual benefit.
 
 These principles are relevant in the context of *Industry 4.0*, where interconnected systems and data-driven decision-making are crucial for optimizing industrial processes and creating resilient supply chains.
@@ -38,11 +37,11 @@ All the required components to enable the industrial dataspace are deployed to A
 
 ## Industrial dataspace use case: Provide a carbon footprint for your produced products
 
-Providing the Product Carbon Footprint (PCF) is one of the most popular use cases for industrial dataspaces. It's increasingly important in the buying decision for customers. Products with a low PCF are popular, but accurately calculating the PCF is hard. The [Green-House Gas (GHG) Protocol](https://ghgprotocol.org) is a popular calculation method for the PCF. It splits up the calculation task into scope 1, scope 2, and scope 3 emissions. This example and reference implementation focuses on calculating scope 2 emissions from the simulated production lines. Scope 2 emissions are the emissions produced during a production process. The simulated stations along the production lines provide energy consumption data during production. This energy consumption data is used to calculate scope 2 carbon footprint data for each produced product, if the *marginal carbon intensity* of the electrical energy consumed is known for the location of the simulated production lines. This information is optionally retrieved from a non-Microsoft cloud service operated by [WattTime](https://watttime.org). If the WattTime service isn't configured, the calculation uses an average value.
+Providing the Product Carbon Footprint (PCF) is one of the most popular use cases for industrial dataspaces. It's increasingly important in the buying decision for customers. Products with a low PCF are popular, but accurately calculating the PCF is hard. The [Green-House Gas (GHG) Protocol](https://ghgprotocol.org) is a common calculation method for the PCF. It splits up the calculation task into scope 1, scope 2, and scope 3 emissions. This example and reference implementation focuses on calculating scope 2 emissions from the simulated production lines. Scope 2 emissions are the emissions produced during a production process. The simulated stations along the production lines provide energy consumption data. This data is used to calculate the scope 2 carbon footprint for each produced product, if the *marginal carbon intensity* of the electrical energy consumed is known for the location of the simulated production lines. This information is optionally retrieved from a non-Microsoft cloud service operated by [WattTime](https://watttime.org). If the WattTime service isn't configured, the calculation uses an average value.
 
 ## IEC 63278 Asset Administration Shell
 
-To provide product data in a machine-readable and standardized fashion, this example uses the IEC 63278 Asset Administration Shell (AAS). This example automatically creates an AAS for a sample of the simulated products produced and stored in an AAS repository. The repository is provided as an open-source reference implementation by the [Digital Twin Consortium](https://www.digitaltwinconsortium.org). This reference implementation supports AAS modeling with [OPC UA](https://opcfoundation.org/about/opc-technologies/opc-ua). This approach simplifies AAS modeling because you can use any OPC UA modeling tool such as the [Siemens OPC UA Modeling Editor (SiOME)](https://support.industry.siemens.com/cs/document/109755133/siemens-opc-ua-modeling-editor-(siome)?dti=0&lc=en-US) or the [CESMII Smart Manufacturing Profile Designer](https://profiledesigner.cesmii.net). The configuration of the deployed AAS repository happens automatically during the deployment workflow and comes with its own web dashboard. To access the dashboard, navigate to the **Overview** page of the AAS repository Container App from the Azure portal, and select the **Application URL** displayed to open the repository's dashboard. Expand the **AAS Environment** tree control to see the individual Asset Admin Shells. Navigate to the **AAS Environment > Objects > Submodels > CarbonFootprint > ProductCarbonFootprint > PCFCO2eq** node in the OPC UA tree and select it to display the calculated scope 2 CO2 PCF.
+To provide product data in a machine-readable and standardized fashion, this example uses the IEC 63278 Asset Administration Shell (AAS). This example automatically creates an AAS for a sample of the simulated products produced and stores the AAS in an AAS repository. The repository is provided as an open-source reference implementation by the [Digital Twin Consortium](https://www.digitaltwinconsortium.org). This reference implementation supports AAS modeling with [OPC UA](https://opcfoundation.org/about/opc-technologies/opc-ua). This approach simplifies AAS modeling because you can use any OPC UA modeling tool such as the [Siemens OPC UA Modeling Editor (SiOME)](https://support.industry.siemens.com/cs/document/109755133/siemens-opc-ua-modeling-editor-(siome)?dti=0&lc=en-US) or the [CESMII Smart Manufacturing Profile Designer](https://profiledesigner.cesmii.net). The configuration of the deployed AAS repository happens automatically during the deployment workflow and comes with its own dashboard. To access the dashboard, navigate to the **Overview** page of the AAS repository container app from the Azure portal, and select the **Application URL** displayed. Expand the **AAS Environment** tree control to see the individual Asset Admin Shells. Navigate to the **AAS Environment > Objects > Submodels > CarbonFootprint > ProductCarbonFootprint > PCFCO2eq** node in the OPC UA tree and select it to display the calculated scope 2 CO2 PCF.
 
 > [!NOTE]
 > The AAS repository has a REST interface that's [OpenAPI](https://swagger.io/specification) compatible. To access the Swagger UI, add `/swagger` to the AAS repository URL in your web browser. To authenticate and authorize with the REST interface, select **Authorize** on the Swagger webpage. Enter `admin` as the username and use the password you chose during deployment of this reference solution for the password, then select **Authorize** followed by **Close**. To try out any of the REST interface methods, select it, select **Try it out**, provide any necessary parameters, and select **Execute**. The response from the AAS repository is available in the **Server response** text box.
@@ -65,7 +64,7 @@ Optionally, to optionally configure the WattTime service for a more accurate car
 
 1. Wait until you receive an email from WattTime that your account was upgraded to a pro account. Then, from the Azure portal, navigate to the Azure Container App instance for the deployed AAS repository. Follow the steps in [Add environment variables on existing container apps](/azure/container-apps/environment-variables?tabs=portal#add-environment-variables-on-existing-container-apps), navigate to the **Environment variables** section of the **Edit a container** panel, select **Manual entry** for the **Source** field, and enter your WattTime username and password in the **Value** field of the two existing environment variables **WATTTIME_USER** and **WATTTIME_PASSWORD**. Select **Save** and then **Create** to deploy a new revision of your AAS repository.
 
-## ISO 20151 Eclipse Dataspace Components
+## ISO/IEC 20151 Eclipse Dataspace Components
 
 The [Eclipse Dataspace Components (EDC)](https://eclipse-edc.github.io) is designed to support secure and sovereign data sharing between organizations. Here are the main components:
 
@@ -79,7 +78,7 @@ These components are open source, designed to be extensible and interoperable, a
 
 ### Configure the Eclipse Dataspace Connectors
 
-The two EDC Connectors *provider* and *consumer* automatically deployed are provided as an open-source reference implementation by [Fraunhofer IOSB](https://www.iosb.fraunhofer.de/projects-and-products/faaast-tools-digital-twins-asset-administration-shell-industrie40.html) as part of the FA³ST ecosystem for AAS management. The connectors contain an extension for accessing an Asset Admin Shell repository like the one deployed in this reference solution. To configure the connectors, follow these steps:
+The two EDC Connectors *provider* and *consumer* automatically deployed are provided as an open-source reference implementation by [Fraunhofer IOSB](https://www.iosb.fraunhofer.de/en/projects-and-products/faaast-tools-digital-twins-asset-administration-shell-industrie40.html) as part of the FA³ST ecosystem for AAS management. The connectors contain an extension for accessing an Asset Admin Shell repository like the one deployed in this reference solution. To configure the connectors, follow these steps:
 
 1. From the Azure portal, navigate to the overview page of your **AAS repository** instance. Copy the **Application URL** displayed.