In the Ashkelon pollution case, Kando took inspiration from the world’s greatest investigator. Channeling Sherlock, using our innovative pollutant detection systems, we set to work, to immediately locate the source of the pollution and collect the evidence required to take legal action due to the unauthorized discharge of highly polluted sewage.

The case began with a contamination event that occurred in Ashkelon. It took place in the city’s industrial zone, an area characterized by the heavy presence of food and beverage plants that consume vast quantities of water in their production processes. For the most part, sewage from the industrial zones is channeled to wastewater treatment plants that collect the sewage to treat it for recycling and use it for agricultural irrigation.

The Ashkelon water utility company could not allow the continued flow of dirty sewage for fear of a total collapse of the municipal water treatment facility.  In order to locate the pollutant as quickly as possible, the Ashkelon water utility company used Kando’s innovative, digital waste management systems to investigate. Kando integrates hardware based on IoT technology, which enables the real-time detection of anomalous ratios in the wastewater of smart cities.

The hunt was on.

Self-activating Smart Units were placed at the central point in the sewage network. Kando systems were hot on the trail of the polluters. The systems installed in the city of Ashkelon detected and warned of real-time contamination and precisely pinpointed the sources of the pollution flow. Kando was then able to identify the culprits, tracking the source of the contamination at the exit to the polluting plant. Each pollution event that occurred in the city was broadcast to a Kando management system, which was able to attribute about 90% of the cases. Using our pollutant detection methodology, it was possible to investigate, find those responsible and plan a process that has met the environmental challenges of the city.

The results were amazing. There was a dramatic reduction in the number of pollution events in the following six months and there was a more than $500K decrease in the operating costs of the treatment plant and the sewage system in the following year.  Most importantly, incredible as it sounds, the costly establishment of a new treatment facility estimated at $10 million was rendered unnecessary.

Only one conclusion may be reached. Automated, intelligent management systems that can investigate the source of the pollution and prevent contamination events before they can occur are the way forward. Put simply, it is elementary.