Table report widget

With the table report widget, you can create a tabular report of your data points and their measurement or consumption values. You can then embed this table in your reports.

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The table report widget with data point designation, system name, measurement value, reference in the time interval and a plausibility check. Each column and, if required, even each cell can be configured individually.

Set up the table report widget

To learn how to add widgets to your dashboards, see the Widgets chapter.

Configure the table reporting widget by either clicking the Edit button on the corresponding widget when in dashboard edit mode, or by clicking Full View to switch the widget to full view and then on Edit to enter the edit mode.

Configure columns

First, create the desired table columns by clicking on Add Column, in the lower half of the screen. Configure the new column:

Column Name

The column name as it should be displayed in the column header.

Column Type

The type of data to be displayed in this column.

  • Automatic Plausibility Check

  • Data Point Name

  • System Name

  • Text

  • Value and Unit

  • Value Without Unit

Depending on the column type selected, additional settings are available. These are described in more detail in the following sections.

In the Columns list at the bottom left, click a column name to display the corresponding column settings. The column settings apply to all cells in the selected column, even if you add rows later.

However, you can also change the column type for individual cells and thus overwrite their column settings. To do this, click directly in the desired cell in the table. The settings for the selected cell are then displayed below the table. Select the Override Column Settings option to overwrite the column settings for the selected cell.

The configuration area shows whether you are currently editing the column settings or the cell settings. If necessary, switch between the column and cell settings with the corresponding arrow symbol above the settings.

Automatic plausibility check

With the automatic plausibility check, you can instruct the system to monitor the plausibility or credibility of measurements using a comparison period. If the measurement values deviate too much from the expected historical values, you will receive a notification and see this graphically in the table report widget.

Condition

Primary Data Function

The function that is to be applied to the measurement values of the comparison period.

Aggregation Interval

The period in which the primary data function is to be applied to the historical values. For example, if you are interested in one aggregation value per day, select Day of Week. For one aggregation value per month, choose Month of Year.

Compare by Interval

By default, the primary data function is applied to the immediately preceding, next larger time period, i.e. to the last week if you have selected Day of Week as the aggregation period, or to the last year if you have selected Month of Year. When you activate this option, you can increase this time span and include several previous aggregation intervals in the calculation.

Comparison Interval / Number of comparison intervals taken into account

The period during which the data function is calculated per aggregation period. For example, if you want to average weekdays of the last 4 weeks, select 4 weeks here. If you want to average months of the last 3 years, select 3 years instead.

Time Mask

To include only certain times in the calculation within the specified aggregation period, you can select a time mask here. Then only measurements within the time mask are included.

Examples

Some examples of aggregation periods and comparison intervals

Primary data function

Average

Average

Average

Aggregation interval

Day of Year

Day of Week

Weekday of the Month

Comparison interval

Years

Weeks

Years

Number of comparison intervals taken into account

3

156 (52 × 3)

3

Description

The comparison curve is 1 year long and contains 365 values; one for each day of the year, averaged over the last 3 years.

The comparison curve is 7 days long and contains 7 values; one for each weekday, averaged over the last 3 years.

The reference curve is 1 year long and contains 7 × 12 values, one for each weekday per month, averaged over the last 3 years.

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Comparison between measurements of a data point (e.g. energy) with measurements from an earlier reference period (e.g. last year), either with or without interdependence with another measurement (e.g. outside temperature)

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Comparison between the average consumption of an energy data point with the average consumption from multiple earlier reference periods (e.g. “all Mondays in the last 4 weeks”)

Alerting

Delay Check

The checking of the alarm condition can be delayed. This is particularly useful if the interval between measurements is greater than the aggregation period. This allows you to ensure that the check is not triggered until all the required measurements are available. Measurements should normally be recorded at least once a day.

Number of subsequent positive checks until alarm is raised

The alarm can be further delayed by specifying that the alarm condition must still be present after several repeated delays before an alarm is triggered. This allows an alarm to be delayed by several days if necessary.

Pre-alarm / Main Alarm

To set up a pre-alarm or main alarm, activate this option, select the desired alarm chain to be escalated in the event of an alarm, and set the upper or lower tolerance limit for triggering an alarm if the value exceeds or falls below these. The tolerance entered corresponds to the maximum percentage deviation relative to the calculated value for the comparison period.

Presence Check

Check for Missing Records

Activate the option, select the desired alarm chain that is to be escalated in the event of an alarm, and set the time after which an alarm is to be triggered if no measurement is available for the current aggregation period. This allows you to check whether your data recording works or whether custom data points are being calculated correctly.

Data Point Name

The name of the data point which is currently assigned to a cell is displayed in the individual cells of the column.

Link to data point details

Next to the data point name, a link is displayed that takes you directly to the details of the corresponding data point. However, the link only appears once you have exited the widget’s edit mode.

System Name

The system name (AKS code) of the data point which is currently assigned to a cell is displayed in the individual cells of the column.

Link to data point details

Next to the data point name, a link is displayed that takes you directly to the details of the corresponding data point. However, the link only appears once you have exited the widget’s edit mode.

Text

You can enter any static text in the individual cells.

Value and Unit

Value Function

The way in which the displayed value is to be calculated.

  • Last Value: The last measured value

  • Positive Consumption (with Reset): The consumption in the selected time interval (for more information on the consumption calculation, see Consumption).

  • Sum: The sum of the measurement values within the selected time interval.

Link to data point details

Next to the data point name, a link is displayed that takes you directly to the details of the corresponding data point. However, the link only appears once you have exited the widget’s edit mode.

Value Without Unit

The current value of the data point which is presently assigned to a cell is displayed in the individual cells of the column.

Link to data point details

Next to the data point name, a link is displayed that takes you directly to the details of the corresponding data point. However, the link only appears once you have exited the widget’s edit mode.

Add rows

After you have created all the columns you need, you can start adding rows. To do this, click on Drop a data point or click here to add a new row. below the table, or drop a data point from the data point sidebar on the left on this area.

Depending on how you configured your columns in the last step, you can now drag data points from the right sidebar to the individual cells of the table to place them there.

To move a row, drag the drag handle on the far left up or down. To delete a row, move the mouse pointer to the far right of the desired row and click on Delete Row.

To use the table report widget table in your reports, click on Download above the table. For more information about using tables in reports, see Insert table. For the use of Avelon Reporting we also recommend the user manual Avelon Reporting add-in for Microsoft Office.

Date selection

The time interval of the displayed values can be set via the date selection above the widget. If you change the interval in edit mode, the change is saved permanently. In the view mode, you must select the Set as Default Time Interval icon in order to save it, otherwise the change will be reset to the previous value the next time the page is reloaded.