Sewer pollution source detection

End-to-end solution that creates continuous awareness of events in wastewater networks.

Real-time monitoring of wastewater quality

Wastewater network management is subject to quality regulations that are destined to protect the utility assets and the public health. However, these regulations are hardly enforced as manual sampling programs struggle in getting the status of the collection system. By not meeting regulatory compliance and standards requirements, wastewater utilities are putting themselves and the municipality at risk.

ADASA provides systems that monitor wastewater quality in real-time and automatically samples any anomalous events, which enable the capacity of wastewater utilities to determine uncompliant quality at all times and respond to them in a timely and effective manner. This avoids costly damage to the water treatment plant and sewer infrastructure, improves treatment efficiency and protects local communities of sewer odor.

Operator in a sewage pipeline

IoT monitoring sites consisting of a wireless controller combined with off-the-shelf water quality sensors are deployed to collect wastewater data and upload it to the cloud. A web-based analytics system processes data gathered by the sensors to detect patterns and irregularities. Findings include pollution events and network health statuses alerts which are displayed via map dashboards and text messages.

As part of our delivery methodology, ADASA analyses the utility requirements and characteristics in order to place every monitoring site in strategic points of the sewer network. Our method provides maximum information while ensuring minimum hardware use.

Our onsite maintenance, support and training services guarantee that the system is operative and delivers the required data and insights.


  • Constant wastewater quality visibility within the sewer network with continuous pollution loads information throughout the network.
  • Generation of warnings of events, clog and overflow risks, odor and corrosion risks.
  • Pinpointing polluters.
  • Prediction of pollution events.
  • Improve operations and trends evaluation.

Related Technologies

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