Cloud Point Manager (nCloudDriver-CloudPointManager)
The Cloud Point Manager is the default view for the Points extension under any CloudSentienceDevice object, and for the CloudPointFolder.
Like other manager views, it is table-based. Each row represents a proxy point (or a points folder) under Points.
Figure 58. Cloud Point Manager view
To open this view, expand and double-click the Points node.
Columns
| Column | Description |
|---|---|
| Path | Reports the location of the device or event in the station |
| Name | Reports the name of the entity or logical grouping. |
| Type | Reports the type of Point. |
| Out | Reports the out value of the point. |
| FaultCause | Provides a description of the reason for the fault. |
| Tuning Policy Name | Reports the name of the selected tuning policy. |
| Ord Path | Reports the ord path for the selected certificate. |
| Point Id | Reports the point id. |
| Is Cov Active | Reports the Cov value. |
| Last Sent to Cloud | Reports the ltimestamp of the last time a value was sent to cloud. |
Buttons
- New Folder creates a new folder for devices. Each such folder provides its own set of manager views.
- New creates a new device record in the database.
- Edit opens the device’s database record for updating.
- Discover runs a discover job to locate installed devices, which appear in the Discovered pane. This view has a standard appearance that is similar to all Device Manager views.
- Cancel ends the current discovery job.
- Add inserts into the database a record for the discovered and selected object.
- Match associates a discovered device with a record that is already in the database.
- The Point Learn button in this view automatically creates a CloudPointFolder for each folder in the station that it finds. This helps organize
the potentially large number of points into some logical structure. NOTE: For any station with more than several thousand points, it is strongly recommended that you use Point Learn over standard point Discovery and Add. This is because it significantly improves performance for large stations over creating all of the cloud proxy points in the same folder.
For more details on Point Learn see the procedure, “Configuring a cloud Point Learn job” in this guide.