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Case Study

Promptly Preventing Sewer Overflows in Singapore

PUB partnered with Turing and Detectronic to use IoT devices to detect sewer blockages and flooding.



Related Topics

CSO Monitoring

Early Warning Systems


IoT specialist, Turing worked on a ‘proof-of-concept’ trial with Public Utilities Board (PUB) in Singapore in partnership with Detectronic. The trial involved the implementation of level sensors to deliver a complete solution for sewer network monitoring, blockage detection and proactive maintenance management.

The main objectives were to help PUB identify suitable solutions to:

  • A dry climate with risks of flash flooding from tropical storms.
  • High levels of FOGs from domestic, leisure and industrial sources resulting in blockages and sewer overflows.


This trial installed some 40 IoT devices in sewer manholes across the wastewater network. These battery-operated wireless IoT devices are installed inside the harsh, confined conditions within a sewer manhole, providing PUB with real-time alerts when wastewater levels within the sewer system rises too high. When updated, PUB officers can quickly check for blockages downstream. More importantly, the solution provides early feedback to PUB officers to act in advance to clear any blockages in the sewer pipes and prevent overflows.


Working together, the LIDoTT sensors, rEye IOT RTU and hydroEye AI analytics technology, has provided an ideal, all-encompassing solution for PUB, including:

  • Effectively monitoring the critical points in network where these sensors have been deployed for hydraulic anomalies, blockages and flooding.
  • Greatly improving their abilities of reducing public and environmental impact.
  • Over a twelve-month period from Jan 2021 to Dec 2021, PUB has been alerted to 10 events within the wastewater network, which were promptly cleared before any overflow events occurred.


    • The Detectronic LIDoTT Sensor can communicate with the datalogger using a number of serial protocols including Modbus, making it ideal for this project.
    • Turing wireless RTUs called ‘rEye IOT transmitter’ are based on low-power networks (such as NBIOT/LTE-M and Sigfox), which are cost-effective and easy to deploy. It can integrate with a variety of sensors such as LIDOTT sensors.
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