Inflow & Infiltration Detection
Detect and target problem areas
Excess water gets in.
We show you
exactly where.
StormHarvester Inflow and Infiltration (I&I) Detection is machine learning software that identifies where, when and how much excess water is entering a wastewater network.
It separates rainfall-driven inflow, from surface runoff, misconnections and defective covers, from groundwater infiltration through cracked pipes, open joints and manholes, as well as river and tidal ingress. Every monitored site is tagged with its I&I risk, so utilities can target investigations, prioritise sewer rehabilitation and build the evidence for capital investment, rather than adding storage or treatment capacity to cope with clear water.
Pinpoint the sources, protect the system
Detecting inflow and infiltration (I&I) early is crucial for maintaining the efficiency of wastewater systems and to avoid the consequences that ripple across operations, budgets, and the environment.
Stop Spills
Act before excess flow reaches critical points. Prevent flooding and environmental harm.
Protect Networks
Reduce strain and extend asset life. Avoid unplanned downtime with proactive detection.
Target Repairs
Focus resources where they matter most. Pinpoint problem areas to optimise budgets.
How I&I detection works
StormHarvester monitors wastewater networks at individual site level and across the whole asset base. Machine learning models learn how each site behaves, then compare that behaviour with rainfall, groundwater and river or tidal conditions. This lets the system distinguish inflow from infiltration and show where each is entering the network.
Determine the drivers behind the spills throughout your network.
Pinpoints I&I at the macro-level (network/catchment wide) and micro-level (individual asset level).
Highlights exact locations for targeted investigations and repairs.
Differentiates between I&I for faster root-cause analysis and intervention.
100,000
sensors in I&I
Detection Module
853
Overflows with severe I&I correctly identified at one UK water utility
£2.4M
Of targeted I&I interventions informed at Anglian Water
How AI I&I detection works, step by step
1. Connect existing data
StormHarvester is sensor-agnostic. It uses the level and pump data you already collect from manholes, overflows and pumping stations, alongside hyperlocal rainfall.
2. Learn each site
Machine learning builds a site-specific model of dry weather flow and rainfall response, so every site is judged against its own normal behaviour.
3. Separate inflow from infiltration
Inflow shows as a fast response to rainfall. Infiltration shows as a slow, seasonal rise linked to groundwater, such as a site that overflows through late winter after only light rain.
4. Map and prioritise
Network visualisation shows I&I at catchment (macro) and asset (micro) level, so teams can direct CCTV surveys, lining and misconnection removal where they will have most impact.
I&I detection results from water utilities
Measured outcomes from utilities using StormHarvester on their own networks.
Anglian Water, UK
A 20% reduction in flow from ingress, inflow and infiltration, tracked across two winters, and almost 600 fewer hours of pumping station run time. The analysis found more than 1,000 instances of infiltration and 303 inflow connections, equivalent to around 60,000 m² of connected area, and directly informed £2.4M of targeted interventions.
Southern Water, UK
Working with Southern Water, StormHarvester found that a small number of sites caused a disproportionate share of overflows, and that 25% of overflows occurred at sites with I&I present. The insight led to a more targeted environmental improvement programme and a shift towards fixing I&I at source.
Inflow & Infiltration Detection
Pinpoint i&i across your entire network
From identifying problematic catchments to uncovering the root causes of spills, StormHarvester helps you detect and address Inflow & Infiltration with precision.
Network Visualisation
Network Visualisation allows you to see when and why your network is at capacity, and where spare capacity might exist. Each individual site is tagged with risk of I&I and tidal ingress which is useful tool for triaging and situational awareness.
This insight can be used by utilities to help with decision-making and where to spend capital. Removing inflow at the source is usually more economical than building and maintaining extra network storage or treatment capacity.
Resolve I&I issues
with real-time
AI-driven insight.
Live network map with macro and micro-level I&I locations
Monitor and differentiate between I&I at each asset
Access historical data trends to identify recurring problem areas
Export findings for targeted investigations, repairs, and audits
Inputs
Monitored
Stormharvester
AI Engine
Real-time
Alerts
StormHarvester Products
case studies
Our solutions drive transformative results for wastewater utilities, municipalities and environmental agencies, helping organisations meet regulatory, environmental, operational goals while protecting the environment.
Anglian Water
Anglian Water cut infiltration and ingress by 20%, saved 600 hours of pump run time, and unlocked £2.4M of targeted investment – all guided by StormHarvester’s I&I detection.
Southern Water
Southern Water is the private utility company responsible for the public wastewater collection and treatment in Hampshire, the Isle of Wight and West Sussex, East Sussex and Kent, covering a total population of over 4.7 million people.
Our wastewater solutions
Stay ahead of challenges with real-time intelligence that helps you maximise network efficiency, reduce costs, and prevent pollution.
Blockage
Detection
Pump Station
Alerting
Rising Main
Alerting
Spill
Analysis
Network
Control
Built for performance. Trusted worldwide.
From the UK to New Zealand, water utilities rely on StormHarvester for fewer incidents, faster response, and easier reporting, all powered by AI-driven insight and real-time data.
Trusted by
