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This article describes the specifications of the console's graph module.
Graphs allow you to track the evolution of values for one or more properties to:
- Monitor the operation of one or more pieces of equipment
- Analyze the performance of your buildings
Here is an example of a graph:
Creating a Graph
Go to the Graph tab in the console.
1) Create a new graph and select the properties.
Choose the properties to display in your graph. You can filter by equipment (1), search for a property by name (2), and click the + button (3) to add the data point to the graph.
2) Customize the display
Configure the appearance of each property to suit your needs. To do this, click in the properties area to customize the display type of the corresponding curve.
Here, you can modify:
- Chart type (curve, steps, bars)
- The Y axis. You can link the curve to a Y left axis or Y right axis. (in the case of 2 curves on a single graph with different units for example)
- The end marker of the line segment plotted on the chart.
3) Define the period
Select the time range to analyze, either by using a predefined period (the last 30 days, for example) or by specifying a range in the calendar.
Performance Analysis
Consumption Analysis
To analyze consumption (e.g., water, gas, electricity), use the Turn into interval function:
1) Select the relevant properties
2) Choose the calculation interval:
- Hourly
- Daily
- Weekly
- Monthly
For example, to display hourly consumption from a meter reading, simply choose the period in the Interval section and select the source data (meter reading property).
Create a virtual property from the graphical interface
From there, simply click the "+" button to create a virtual property.
The next steps are explained in the article dedicated to virtual properties.
Other types of analysis
By default, the graphs show the raw property values, as read from the equipment.
Above are the readings from a temperature sensor.
You can, however, perform intermediate calculations and directly display the resulting curve according to your objective.
- Average
- Minimum / Maximum
- Range
- Last value
- Delta
| The calculation applies to all properties of the graph. |
The available display time increments are:
- 30 min
- 1 hour
- 12 hours
- 1 day
- 1 month
In our example, it might be useful to display the average daily temperature over the last month. In this case, the display setting will be (Average / 1 day)
Synchronization and consolidation of multi-device data
The challenge: In a building, each piece of equipment (boiler, ventilation, temperature sensor, consumption sensor) sends its data at different times—11:07 for temperature, 11:13 for electricity consumption, 11:21 for airflow, etc. This desynchronization makes it difficult to create consistent reports and correlate the data.
The solution:
- The "time step" function unifies all this data on a common time grid (hourly, daily, weekly). By applying the "Average" or "Last value" to each interval, you obtain perfectly aligned data, ready for analysis.
- To go further: export this synchronized data to Excel to cross-reference it with other sources or create your own custom dashboards. This option allows you to export the graphs in CSV format to the system's standard download folder.
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