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Business Dashboard: time over threshold
Business Dashboard: time over threshold

Monitor trends, discover patterns, and investigate exactly where and when air quality issues happened.

Updated over 2 months ago

To see the Time over threshold, you go to Buildings and you choose the Building where you want to analyze the air quality. On the tab Insights, choose Air Quality to see the Time over threshold - charts.


Trend over time

With the Trend over time charts, you see when the chosen threshold was exceeded:

  1. Choose the period

  2. Select the threshold

  3. Look at the chart and click on the bars to see the data from a specific day

In the example below we choose to see:

  1. The last 30 days

  2. When CO2 exceeded 800ppm

  3. We see that on 18/09 the CO2 was 9 hours and 21 minutes above 800ppm, for the whole building.

  4. The CO2 was the longest above 800ppm in the meeting room 204- NO Content: 2h and 20 minutes.


Total by device

By choosing the Total by device - view, you see which devices have exceeded the chosen thresholds and for how long.

  1. Choose the period

  2. Select the threshold

  3. Look at the chart and click on the bars to see the data for the chosen device

In the example below we choose to see:

  1. The last 30 days

  2. When CO2 exceeded 1000ppm

  3. Over the past 30 days, we observed that CO2 levels in room 409 – Conflict were above 1000ppm for a significantly longer duration compared to other rooms.

  4. Clicking on the red bar allows us to view the specific days when CO2 levels surpassed the selected threshold.


Add more charts

You can add up to 5 charts in total for the following sensors:

  • CO2 (Automatically enabled)

  • VOC

  • PM 2.5

  • Temperature

  • Humidity

  1. Add a new chart, by clicking on a sensor button

  2. The charts stay in the dashboard unless you delete them by clicking on the bin


Create a report or CSV

You can create a report from the data or download the data as a CSV.

  1. Select the period and the threshold.

  2. Create a report or download the data as CSV.

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