Early Blockage Detector.
Early detection of restrictions and blockages to enable predictive, condition-based maintenance across sewer networks
Advanced Machine Learning Analytics
Early Blockage Detector.
The Early Blockage Detector is a module in Intelligent Sewer Suite which detects rapid forming restrictions and blockages across sewer networks before they turn into a network outage. It provides a platform to monitor all sewers in a network using existing level and flow sensors.
By using the StormHarvester Early Blockage Detector, duty controllers will no longer be overwhelmed by the high numbers of control room alarms during wet weather events.
This module silences alarms for consented events and only provides alarms/alerts for unconsented events so maintenance crews can quickly be directed to incidents of greatest impact. This enhances the controller’s ability to deploy operational resources to best effect, minimising network outages.
How it Works.
The Early Blockage Detector works by using StormHarvester’s machine learning level prediction software to create safe operating windows for each sewer level monitor, across the sewer network. In the scenario where either the upper or lower threshold of this operating window is breached, near real-time alerts for a possible blockage/anomaly are delivered.
Specific alerts enable rapid response, recovery and repair activities reducing network outages and their potential environmental impact.
SMS: Near real-time predictions alert
Email: Near real-time predictions alert