Zones
Infiltration and inflow (I/I) increase hydraulic loads throughout wastewater networks. Yet identifying which areas contribute most can be difficult when measurements are limited.
Guard Zones analyses existing pump station data and available flow measurements to estimate I/I and identify contributing catchment areas. By combining operational data, machine learning and hydrological analysis, the solution provides continuous insight into where unwanted water originates—without additional instrumentation.
Narrowing the search
Investigating an entire wastewater network is rarely an efficient starting point.
Guard Zones automatically defines catchment areas and analyses the relationships between pump stations, helping utilities distinguish where I/I is measured from where it is likely to originate.
Understanding the network through existing data
Zones analyses pump station operations alongside external conditions such as precipitation, temperature, snowmelt and groundwater levels.
Where flow meters are unavailable, energy consumption can serve as an indicator of pump station load. Machine learning estimates I/I contributions and adapts to seasonal and operational changes.
From measurements to catchment areas
Using high-resolution terrain data and hydrological analysis, Zones automatically delineates catchment areas associated with measurement points.
By accounting for connections between pump stations, the solution helps isolate contributing areas and distinguish dominant sources of I/I. This provides a more precise basis for prioritising investigations and infrastructure measures.
Key benefits
- Continuous estimation of infiltration and inflow
- Identification of contributing catchment areas
- Automated catchment delineation
- Analysis using existing pump station data
- Reduced need for additional instrumentation
- Better prioritisation of investigations and rehabilitation measures
How it works
Focus investigations where they matter
Identify the catchment areas contributing most to unwanted water in your wastewater network.