About Tag Field Master
A summary action named "DemandSummary" is already registered in the server configuration file of the standard project.
This summary action is used for logging and aggregating demand history.
One of the master files for summary actions is the "Tag Field Master." The Tag Field Master defines which tags are to be logged and aggregated.
The tag field master for the above "DemandSummary" action is stored below:
(Project folder) \server\demandsummary\fieldmaster_tag.csv
The tag field master is a text file in CSV format and can be freely edited using a text editor such as Notepad or Excel.
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We will not go into details about the field types and other specifications of the tag field master here. These specifications are explained in detail in the "Daily Report" section of the Monitoring System Construction Guide. For details, see "Editing Tag Field Master" in the Daily Report. |
Editing Tag Field Master
The following explains how to edit tag field master data for demand history using Excel, based on a setting example.
■Work Instructions
Please open the tag field master "fieldmaster_tag.csv" in Excel.
Then, the following is written:
The first line is the header, which defines what information goes in which column.
From the second line onwards, the tag where the previous demand of the demand action is written, such as "Demand01" (e.g. "DEMAND.F01.PAST1"). This setting can be used as is unless you change the output tag of the previous demand. If the tag path of the output tag of the previous demand is different from the above, set it according to the actual environment. Also, if you want to reduce the demand actions that perform demand monitoring, or add more, edit the description of these lines and define it according to the configuration of the demand action that you actually monitor.
The last line of the field contains "Temperature" as sample data. If you do not need to include the measured value in the log, delete this line.
As mentioned above, you can include measured values in the demand history log. For example, by including information that is thought to affect power usage, such as outdoor temperature, outdoor humidity, and production volume, in the log, you can display this information as a line graph overlaid on the demand history graph.