Register an FactoryTalk Historian (OSI PI) Extractor

On the Management Console, select the

Extractor Info

tab.

The

Extractor Listing

is displayed.

Click the Add [+] icon.

The

Extractor Info Detail

page is displayed.

Provide a unique 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,

FactoryTalk DataMosaix SaaS

generates 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 information can help you to 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

checkbox.

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 is displayed.

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 generated or created and displayed on the

Extractor Info Detail

page.

Select the source type of extractor as

FT HISTORIAN (OSI PI)

.

The fields relevant to the

FactoryTalk

Historian (OSI PI) extractor appear on the screen for you to fill in details.

In the PI Host, provide the hostname or IP address of the OSI PI server that you want to connect to.

You can leave the OSI PI server username and password fields empty.

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

Click

Save and Apply

.

The

Generated info Saved

dialog box is displayed, and it 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

. You can also download the config.yml file that includes all the configuration information that you can use to run the extractor.

Click

Download

.

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

Click

Close

to close the dialog box.

The new extractor is displayed under Extractor Listing.

Navigate to your project in CDF by clicking

Main DataMosaix

and select

Integrate

>

Extractors

.

On the Extract data screen, locate the

Rockwell FactoryTalk Historian SE

extractor and select it.

Download the PI extractor msi file from CDF.

Copy the downloaded config.yml file to the folder where the extractor is installed. The default location is: C:\Cognite\PiExtractor\config. You must paste the copied config.yml file into the 'config' folder.

Navigate to the

PiExtractor

folder and open the command prompt from this folder. Execute the extractor using the command:

bin\PiExtractor.exe

.

Alternatively, you can run the PI extractor as a Windows service. To learn more, refer to Run as a Windows service.

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

Integrate

>

Extraction Pipelines

.

Click the pipeline name for which you want to view the details, and then click

Run History

.

You should be able to view the information mentioning that the extractor has run successfully.

Click on the

Dataset

link under basic information section to open the Dataset details.

Click on the

Data

tab.

You should be able to view the asset data. You may also view assets depending on the configuration of the namespace on the PI Server.

To view the time series data ingested using the extractor, click

Data explorer

and select

Time series

. You will be able to see all the time series data points that were pushed using the extractor.