Register an OPC UA Extractor

On the Management Console, select the

Extractor Info

tab.

The Extractor list displays.

Click the [Add] icon.

The

Extractor Info Detail

screen displays.

Provide a unique and meaningful name for your Extractor. The Source Name works as the identifier for your extractor. You can search for an extractor with the Source Name. By default, DataMosaix populates a source name.

Source Name example: EXT_1406230728_createproject_v1.

Here, EXT stands for extractor, 140623 is the date in ddmmyy format, 0728 is the timestamp in hhmm format, and createproject_v1 is the project in which you are currently working. You can use the default source name or create your own.

Provide the location details for which you are creating the extractor. This is additional optional information that can help you identify an extractor when you have many extractors for different plants/sites/locations.

From the Associated Roles drop-down list, select at least one role. You can refer to various roles and capabilities by clicking [Role Reference].

You can select multiple roles from the Associated Roles drop-down list. In the search bar, you can search for any specific role from the list. If you want to apply all the roles to the application, select the [Select All] check box.

Next, you can select a pipeline or create a new pipeline. When you create a new pipeline, you have the option of selecting from an existing dataset or creating a new dataset.

From the pipeline drop-down, select a pipeline. On selecting a pipeline, the Pipeline External ID and Dataset Name fields are populated.

To create a new pipeline, select the

Create Pipeline +

option.

The Create Pipeline dialog box displays.

Provide the following Pipeline information to create a new pipeline.

When you create a pipeline, you can either select an existing dataset or create a new dataset. Select a Dataset from the drop-down if you want to use an existing Dataset.

If you choose to create a new Dataset, the Dataset related fields are displayed. Provide the following dataset information.

Click

Add

. Based on the options you choose (select or create), the Pipeline and Dataset information is either populated or created and displayed on the Extractor Info Detail page.

Select the source type of extractor as OPC UA.

The fields relevant to the OPC UA extractor appear on the screen for you to fill in details.

In the Endpoint URL, provide the URL of the OPC UA server that you want to connect to.

In the OPC Server Username and Password fields provide the credentials to connect to the OPC UA server if you need it. If the OPC UA  server is on local host you can leave it blank.

Click Save and Apply.

The

Generated info Saved

pop-up window displays that contains the configuration information. You can view the configuration file details by clicking

View generated configuration file

. Alternatively, you can also copy and save the information for future use by clicking Copy All. More importantly, you can download the .yml file that includes all the configuration information that you can use to run the extractor.

Click

Download

.

The .yml file is downloaded in the Downloads folder of your local machine.

Click

Close

to close the pop-up window.

The new extractor is displayed under Extractor Listing.

Navigate to your project in CDF by clicking [Continue to Main Site] and select

Integrate > Connect to source systems

.

On the Extract data screen, locate the

Cognite OPC UA Extractor

and select it.

Download the extractor to your local machine.

Copy the downloaded .yml file to the folder where the extractor is installed.

Run the extractor on the command line.

Once the extractor has been configured and executed successfully, navigate to your project in CDF and open the pipeline by selecting

Integrate > Monitor Extractors

.

Click the pipeline link.

You should see the information mentioning that the extractor has run successfully.

Click on the Data set link under basic information section to open the Data set details.

Click on the Data tab.

You should see the asset and time series data.