Quality Assurance
Please use following slide deck as a guide line of how to do a Quality Check on a brand new published dashboard:
If you notice anything strange on the dashboard, please consider the following :
- Check Deployment of listeners and jobs:
- Sensor Listener + Sensor Data Aggregation running?
- MCS API Connector enabled and latest version?
- Check config of sensors in Studio (Sensor Devices: correct Device ID, linked to Room or WP, linked to Zone etc)
- Check config of floorplans in Studio (and IWMS if relevant)
- Check locations master data in IWMS + config of locations in Location Grouping and Room Capacity
- Check Dashboards Space category mapping in Studio > Settings > Dashboards
- Check installation of sensors + customer environment (might be empty due to Covid or warmer due to climate)
- If eg comfort values are off the charts, book a call for the BI team to check the incoming values (Incidents > Cobundu Incidents > Nature: Cobundu Dashboards)
Comfort Values visualized
Check the presentation with required configuration in IWMS and Cobundu Studio for optimal use of the dashboards on the Dashboard manuals chapter page
Logic behind visualization: Average temperature value for room X (if 2 comfort sensors are linked to that room) = (10 °C +20 °C) / 2 = 15 °C and this is how it will be exposed in the timeslots.
Check out the scenarios/use cases concerning the visualization of comfort data on Live Floorplan and in Dashboards on Live floorplan settings-page.
[Spacewell Internal : In case you have any questions on where information in the dashboard is coming from or how it is set up, you can check DASHBOARD CONFIGURATIONS GUIDELINES ]