Analytics
The analytics feature has been added, allowing dashboards to be designed according to personal wishes. You can create insight into (almost) any desired data cross-section through widgets. For example, a bar graph with the number of pipes per status (ok, serious, critical) or an overview groups with the most issues. It is a strong tool that gives users the power to improve monitoring of assets not only on the component level but more importantly on the system (population) level. The video below is an example.
A user can create multiple dashboards.
The analytics functionality also offers a direct link between the individual measurements, devices, locations and groups viewed in tables. This way, it is easy to navigate to location of interest.
The visualization options are available as tables, bar charts, stacked bar charts, line charts and scatter plots.
The layout of the analytics dashboard panels can be easily customized by resizing or dragging individual widgets according to your own preference.
All widgets which are build as bar charts, line charts and scatter plots can be directly downloaded as PNG.
The first step when creating a widget is to select a source table. A source table determines which columns you have available for your analysis. The following source options are currently available:
Source table
Explanation
Locations
Includes devices and device type
Ports
Includes location, device and device type
Lines
With current condition
Port condition
Monthly statistics on issue triggers per port
Location condition
Monthly statistics on issue triggers per location
Line condition
Monthly statistics on issue triggers per line
Measurements
All historical measurements including linked static data
Reports
Includes locations, report types, devices, device types and users
Issues
Includes users, locations, devices, device types
Commands
Includes command types, devices, device types and users
The following example will demonstrate how to create a simple widget to view a list of most loaded transformers in last 90 days.
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Last modified 22d ago
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