Configure Genesis 3.1 Data Types Color
The OPC Data Listing View shows always the following data:- OPC Data Id: the Identifier (Id) of the record in the Genesis 3.1 database.
- OPC Data Acquisition Time: the Date and Time of actual OPC Data Acquisition
The format is always the same: YYYY/MM/DD HH:MM:SS.mmm - Acquisition Rate: the actual acquisition rate, that is the time between current and last acquisition
In normal circumstances, this figure should be equal or near to the minimal acquisition rate - Total Acq. Gap: the gap between the calculated time and the actual time for OPC Data acquisition
Calculated Time is obtained by multiplying the record number by the acquisition time from the OPC Data Acquisition Start - Tags Value: the OPC values (according to the Project Setup)
- Click on one of the Button 'Data Type Color' in the Ribbon Tab 'OPC Data View' to Open the Color Selection Box
- Select a color for the different date types
- Standard Color: used for OPC acquired data (date, time and OPC data values)
- Bad Quality Color: used for the OPC acquired data with Bad Quality Attribute (often bad adressing scheme)
- Interpolated Data Color: used for data interpolated between two OPC acquired data (see below for details)
- Inactive Group: used for OPC Data belonging to an inactive OPC group (rarely used)
- Performance Data Color: used for performance data (Acquisition Rate and Total Acq. Gap)
In the case showed above, the first four tags are part of an OPC group with an acquisition rate of 100 milliseconds. The last one belongs to a second OPC group with an acquisition rate of 500 milliseconds
Every 100 ms, an OPC Data acquisition takes place for all the tags of the first group and only one time on five for the last tag. So, to fill the gap between the acquired data of the last tag, the date are interpolated lineary between the acquired data. The interpolated data are displayed in blue (one green followed by 4 blue, to get 5 acquisition rates)
Some combinaisons of OPC acquisition rates could lead to more complex patterns of data interpolation.








