Applies to brains.app platform.
Users who can do this: Administrator
Once you have built the Asset Metric structure and it's ready to be used in the application, you need to define the metric ranges to ensure the data received is within these data quality ranges.
To set the metric data quality ranges, please follow the below steps:
Search for an asset of your interest by typing its name or a keyword in the Search text area.
Click on the pencil (Edit) icon for the Asset, to view and manage the attached metrics.
Refer to the "Has Ranges" column to identify if the metrics have any ranges information configured.
3. Type the metric name/keyword in the search text area to find the metric to set the ranges.
4. Click on the rearrange (Add Ranges) icon for the metric.
5. In the Add Ranges form, fill in the required Data quality ranges such as :
Tag: Metric Tag is a unique identification detail that can be obtained from the P&ID diagram. And if it's an IntelliSense.io Tag, follow the Tag naming convention.
Virtual Sensor: Every Virtual Sensor metric is supported by a descriptive metadata across the different brains.app screens.
The virtual sensor information is represented in this field in the form of a Translation Key that is .VIRTUAL_SENSOR_METRICNAME
This translation key is then updated in the brains.app translation tool with the full description of the virtual sensor. And the description comprises the below information:
List of Symbols:
Here is an example of Virtual Sensor detail:
METRIC: Volume Wear Rate (Mill) (Liner Wear)
UNIT: Metre cubed per megatonne(m³/MT)
LIST OF SYMBOLS:
W_volume: volume increase coefficient,
MT: megaton of ore throughput
DESCRIPTION: Rate of mill volume increase per MT of throughput
Note: The VOS details can be obtained from the IntelliSense.io Data Science Team.
Here is a quick overview of the setting ranges function:
Now you can verify these data quality in the Asset Data Quality screen that provides you the data quality information of the incoming data for all the raw and derived metrics listed on the vertical axis and Timespan on the horizontal axis.