Works Software | Niagara 4 Graphics Library - Donut Gauge

Works Software | Niagara 4 Graphics Library - Donut Gauge

Drag and drop the Donut gauge widget from the palette onto your px view. It automatically updates when the point or history value changes. Its completely configurable and easy to use.

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Before you start. Download the modules from our portal (see your order confirmation, which also explains licensing). Copy the modules file to your modules directory. Restart BOTH station and Workbench.

1. Copy the donutGauge-ux.jar file to your modules directory. 2. Open the module from your palette file. 3. Drag and drop the widget from the palette onto your px view.

The gauge has a number of configurable properties that can be used to modify look, feel, and functionality. Change the properties as required.

Main Chart Binding Set this to an absolute ord, e.g. station:|slot:/Drivers/NiagaraNetwork/AHU5 or relativized ORD e.g. slot:AHU5 The ord should point to a numeric point/writable that has a numeric interval extension.

Background Property:

The background (the area within the circular part of the widget) can be changed to a solid color, gradient, image, or null(transparent). The image must reference a file ord reference e.g. file:^myImage.jpg, and fit within the bounds of the widget.

Canvas Background Property:

The canvas background (the area behind the widget) does not go transparent in Workbench mode, but can be changed to a color of your choice.

You can bind the gauge to a history reference. Change the properties as required:

1. Set the value binding as normal.

The value binding must be set in order to gather history records for the point.

2. Set the history BQL property.

|bql:history:HistoryRollup.rollup(history: RollupInterval 'monthly')|bql:select max

|bql:history:HistoryRollup.rollup(history: RollupInterval 'monthly')|bql:select min

|bql:history:HistoryRollup.rollup(history: RollupInterval 'monthly')|bql:select avg

|bql:history:HistoryRollup.rollup(history: RollupInterval 'monthly')|bql:select sum

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