Hardware sensors
Temperature, RH, CO₂, PM₂.₅
Building application · IES Live
Building Air Quality Digital Twin
A building- and room-level digital representation of indoor air quality that brings real-time and historical information into one decision-support interface.
TemperatureRelative humidityCO₂PM₂.₅
Reference demonstrator — live Building Twin URL unavailable
Role in TwinAIR
From distributed IAQ data to a spatial building view
The Building Digital Twin acts as the integration and visualisation layer for building-level IAQ. Upstream data is consolidated in the TwinAIR DMP, processed for analysis, and presented through IES Live as information that can be understood in the context of a building, floor or room.
Virtual sensors
Predicted or inferred IAQ observations
Air purification
Filter status, fan levels and operational data
Forecasts & thresholds
Prediction outputs and IAQ reference thresholds
TwinAIR
Data Management Platform
Validated real-time and historical observations
iSCAN
Structures and processes data for analysis and visualisation.
IES Live BDT
Building, floor and room-level interpretation.
Building & room context
Make measurements spatially meaningful
Example of IAQ data structured and visualised at building and room level.
Temperature
Current + historical trend
Relative humidity
Current + historical trend
CO₂
Current + historical trend
PM₂.₅
Current + historical trend
Spatial context
Maps IAQ observations to buildings, floors and rooms so users can understand exactly where conditions occur.
Status & thresholds
Highlights conditions against agreed IAQ thresholds using clear status indicators rather than raw measurements alone.
Historical trends
Combines current and historical time-series information so changes in indoor conditions can be interpreted over time.
Decision support
Brings monitoring, forecasting and available recommendations into a consistent user-facing interface.
Inputs & outputs
A user-facing layer over the TwinAIR ecosystem
The BDT does not replace the DMP. It consumes integrated information and turns it into a spatial, interpretable view for people who need to understand indoor conditions rather than inspect raw platform data.
Key inputs
- Hardware and virtual sensor data
- Air purification system information
- Thresholds and guideline outputs
- Building metadata and floor plans
- Control and maintenance recommendations
Key outputs
- IAQ dashboards for monitoring and decision support
- Threshold alerts and status indicators
- Spatial IAQ views at building, floor and room level
- Historical trends for analysis and validation
- Actionable recommendations where available
Integration example · ETRA Room 2
Actionable Intelligence
UCAM reinforcement-learning recommendations are retrieved through the DMP, processed and published in IES Live to support interpretation of filtration control actions.
Example recommendation
Fan level 3
Dashboard content
Trend + KPI summary
Refresh workflow
Hourly
Designed for interpretation
Who uses the Building Digital Twin?
The interface is intended to make IAQ conditions accessible to users with different technical backgrounds, from occupants to researchers and building operations teams.
Building occupants
Awareness-oriented access to indoor conditions
Facility managers
Room-level monitoring and informed decision-making
Operations & maintenance
Operational context, alerts and recommendations
Researchers & partners
Trend analysis, validation and pilot evaluation
TwinAIR ecosystem
See where the Building Digital Twin gets its data
Follow an observation from sensing and DMP processing through to building-level interpretation and downstream insight.