Menu
The robust Smart Unit by KANDO is an innovative solution used to track industrial discharges and illicit connections in sewer networks based on IoT-technology and data analysis. It relies on several flexible units for real-time water quality monitoring with multi-parameter sensors and automatic sampling. It allows to reduce pollution impacts by continuously detecting the sources of pollution across the city. It is able to pin-point the location of illicit connection and automatically identify pollution events using distributed predictive analytics, cloud transmission and visualization. Additionally, BWB will test a sensor system based on electrical conductivity (EC). Waste water contaminations in storm water cause a concentration shift of dissolved ions, which is directly measurable by electric conductivity.

Challenges

Illicit onnections are wrong connections between the sanitary sewage system and the storm sewer system. They lead to raw sewage discharges into the storm sewer and later into the receiving water body without treatment. In most cities, illicit connections are an important source of pollution for surface waters. The main reasons for the existence of illicit connections are unwanted mistakes during the construction of the sewer system and during renovations.

The main challenge in searching for illicit connections is the time and effort  required  to investigate large lengths of storm sewer systems. The search is like looking for a needle in a haystack: the storm sewers are hundreds of kilometres in length, and illicit connections only discharge irregularly and intermittently. The number of illicit connections in an area is generally unknown, and can vary widely.

Limitations of current practices

Illicit connections are known to be an important  contributor to receiving water’s bacterial contamination. However no cost-effective and reliable method exists today to support utilities in tracking illicit connections for upgrading sewer network management and reducing environmental contamination.

Currently used technologies to search for misconnections in sewer systems include CCTV sewer inspection (e.g. IBAK), color marking of household effluents, smoke detection and Outfall Reconnaissance Inventory. These methods generally demonstrate poor accuracy to track illicit connections (i.e. have a small chance of actually finding and locating an illicit connection  in an area) and require high OPEX due to extensive operational staff resources needed.

Innovation

The Smart Unit by KANDO is a new service for screening of illicit connections hotspots relying on real-time monitoring in stormwater network and predictive analytics. It integrates robust IoT sensor information of wastewater quality with software solution and GIS data to track the contamination source. The cloud-based dashboard provide an interactive overview of the network situation and allows the utility to pin-point the location of illicit connections. It sends push notification alerts to track pollution events in real-time.

City tests

The Smart Units by KANDO and the EC sensors by BWB are demonstrated in Berlin in a separate sewer system catchment located in the central-western part of the city. The catchment has an area of 220 ha, a sewer length of 39 km, around 800 manholes and approximately 1,500 house connections. The settlement structure with 27,000 inhabitants shows a variety in population density and land use.

Tthe solution acts as a hotspot screening method for identifying a part of a catchment with a high indication for illicit connection. Starting at the outlets, sensors can be iteratively re-located upstream until a hotspot is localised. As a second step, Digital temperature sensing (DTS, digital solution #8) will be applied to all sewers within a hotspot region to identify the exact location(s) of illicit connections.

The Smart Units solution is already successfully deployed to track industrial discharges and is being tested for the first time to identify illicit connections.

Contact solution

KANDO – Ricardo Gilead Baibich: caco@kando.co.il
BWB – Michel Gunkel : michel.gunkel@bwb.de

Follow us on twitter