There are several ways of displaying an Alarm Summary in Geo SCADA Expert.
On a ViewX client or Virtual ViewX client, you can display an Alarm Summary from:
- The Database Bar (see Display a List from the Database Bar).
- From another display, such as a Mimic or another List (see Display a List from another Display).
In either case, use the Display Alarm Summary menu option or pick action to display the required alarm summary. The Alarm Summary will be filtered automatically so that it only shows the Alarm Summary data for the selected item or group and its associated items. By default, the entries in the Alarm Summary will be restricted to those values that Geo SCADA Expert has stored within the last 24 hours.
To display an Alarm Summary on an Original WebX Client, either:
- Display a Mimic on which the relevant item is included (see View a Mimic on a WebX Client).
- Click on the item.
If the item is configured to display an Object menu, a context-sensitive menu is displayed. - Select the Display Alarm Summary option.
The Alarm Summary is displayed.
Or:
- Display a Mimic on which the Alarm Summary has been embedded.
Or:
- Display a Queries List (see View and Action Lists on a WebX Client).
- Right-click on the relevant entry and select the Display Alarm Summary option.
The Alarm Summary is displayed.
On a Hot-Standby system, it is possible for a Geo SCADA Expert client to connect to a Standby server rather than the Main server. Geo SCADA Expert allows a client to connect to a Standby server once the server has synchronized its current data with that of the Main server. This is to allow users to access Geo SCADA Expert as soon as possible during the synchronization process. On a client that is connected to a Standby server, if an attempt is made to view an Alarm Summary while that server is still synchronizing its historic database with the Main server, the List’s background will show a series of question marks (?). Data will be displayed once the synchronization process is complete (this may take some time on systems that have a large amount of historic data).