Utilizing the Cority Data Scrubber

The following instructions guide the user through the process of utilizing the Cority Data Scrubber to manage and analyze data within the hierarchy of the Whiting Facility. This document details the steps to expand nodes, explore tags, and assess data validity.

Step 1

Examine the Cority Data Scrubber interface. On the left-hand side, observe the hierarchy of nodes representing the Whiting Facility.

Step 2

Expand the nodes to delve into specific components, such as a heater, and view the associated tags. Selecting a tag will open a detailed data view on the right side of the screen, displaying the incoming data.

Step 3

In this pane, review the data points sourced from PI, including their dates and times. Both the validated and raw data are displayed here.

Step 4

Review the validation outcomes, which indicate if rules were passed or failed. Identify the rules applied and add comments on any data changes. At the conclusion, assess whether syncing the data to the Converged EHS+ solution was successful.

Step 5

Utilize filtering options available at the top. You can filter the data by timeframe or source.

Step 6

Further refine the data view by filtering based on the data's status. Options to sync all data and review what has been synced are available.

Step 7

Determine the success, failure, or pending status of data using the filters above. Below, examine details of the parameters including data points and additional data sourced from PI.

Step 8

Although this mock-up contains limited data points, it demonstrates the full list of parameter values associated with a specific PI tag. Additionally, review the rule sets applied to the data.