Wastewater optimisation using machine learning and hyperlocal rainfall forecasting.
StormHarvester Intelligent Sewer Suite offers a range of benefits for organisations managing sewer networks and wastewater treatment works.
Our machine learning and hyperlocal rainfall forecasting gives each asset the ability to ‘look several hours into the future’. When assets have the ability to see into the future, their behaviour can be amended and their future performance optimised.
Intelligent Sewer Suite benefits include:
- Reduce both individual asset and full network operational expense
- Identify restrictions, blockages and asset underperformance. This enables predictive, condition-based maintenance and reduced combined sewer overflows (CSOs), pollution and flooding events
- Increase wastewater treatment network compliance levels
- Boost overall network performance and resilience
Intelligent Sewer Suite is a fundamentally new way to address sewer flows, blockage formation and management of your network.
By combining data from wastewater network with rainfall predictions, Intelligent Sewer Suite’s machine learning technology gives unprecedented accuracy in combined sewer overflow (CSO) and pollution/flooding event predictions, as well as a range of other benefits in network management performance analysis, and reporting. Using Intelligent Sewer Suite to manage pump operation enables the improved sequencing to utilise network capacity. This leads to reduced combined sewer overflows (CSOs), reduced pollution/flooding events and greater network resilience.
The Intelligent Sewer Suite Modules.
Smart Flow Predictor.
Accurate predictions on inflows and levels in sewer networks, pumping stations and wastewater treatment works.
Early Blockage Detector.
Early detection of blockages to enable predictive, condition-based maintenance and improved visit efficiency across sewer networks.
Enhanced Network Manager.
Enhanced management of wastewater networks to reduce combined sewer overflows (CSOs), regulate flows, reduce energy consumption and carbon footprint.