Every Tree Nurturing System (TNS™) node can be monitored in real time. BGI integrates Matter's SensAI sensing so performance is measured continuously against a calibrated baseline – turning maintenance from a fixed schedule into a data-driven, predictive response.
Matter sensor units are installed in vertical inspection pipes positioned behind each ETI and EnviroKerb™ High Flow Inlet. Each unit watches the flow into the inlet it sits behind.
Each Matter unit is configured with a baseline flow curve calibrated to the inflow capacity of the specific inlet it monitors – whether an ETI with a clean ARI Water Filter, which protects the void structure from fines, or an EnviroKerb™ High Flow Inlet.
Real-time incoming flows are measured against that baseline continuously, drawing on established principles of smart-infrastructure monitoring for predictive maintenance and optimisation.
If measured inflows fall below the baseline curve, the system flags an inspection notification. The size of the deviation sets the maintenance response.
A single framework maps how far flow has dropped to the specific action required – so routine upkeep stays proportionate and most events are handled with a street sweeper. The full regime – redundancy, access and the budget case – is on the Maintenance page.
| Severity level | Maintenance action |
|---|---|
| Minor deviation | Vacuum street sweeping throughout the zone |
| Moderate deviation | Lifting and pressure washing an ETI tray |
| Significant deviation | Replacing an ETI tray or ARI Water Filter |
| Major deviation | Pressure washing the EnviroKerb™ High Flow Inlet |
| Critical deviation | Lifting out and replacing the EnviroKerb™ unit |
Zone-level consistency. With multiple Matter units across a zone, the system cross-checks them: if one unit flags while the others stay within baseline, the issue is likely localised; if several flag at once, it points to a zone-wide event needing broader maintenance.
Classification, MUSIC modelling and the relief-drain position sit on the compliance page: every element modelled as a standard in-built node, assessed on the standard pathway rather than a device approval.
Compliance & approvals →The Matter team is actively developing AI-enabled camera technology, co-located with the sensor units, to visually estimate incoming flow rate, spread width and water depth in the kerb and channel. Cross-referencing camera estimates against sensor data would create a redundant verification layer and open advanced analytics – including correlations between rainfall intensity, urban heat and flow.
Status: a development pathway, not a shipping feature. Matter's current sensing hardware is SensAI and FloodScan.
Matter (watermatters.ai) – digital water-risk intelligence. BGI integrates Matter's SensAI radar-and-AI sensing into climate-resilient precinct design for real-time stormwater and flood monitoring.
Spec sheets, standard drawings and ARR-referenced hydrologic and hydraulic parameters are available on request. The maintenance technical paper is emailed on request.
