Challenges faced by the wastewater industry exist mainly due to the inability to attain a real-time overview of wastewater networks. Kando offers such visibility.
IoT Sensing Units - Off-the-shelf water quality and water dynamics sensors are integrated with a controller and packaged into a robust, self-powered IoT unit, installed in manholes to collect continuous data and transmit it to a cloud service. Some configurations of the IoT unit includes an automatic sampler, which collects samples triggered by real-time pollution events.
Web-based Analytics Engine - the data collected by the sensors and received from the client is processed to recognize patterns and irregularities. This information is translated and presented as pollution events, network health status, and alerts, using maps, dashboards, and mobile text messages.
Real-time Visibility
Online sensors connected to an Analytics engine create real-time wastewater network visibility
Pin-Pointing the Source of Event
Analytics engine detects the source of the event and enables you to take action
Event Prediction
Early detection of upstream events enables the analytics engine to generate automatic predictions and alerts; giving you the time to prepare and react to events.
Tangible Results
Wastewater network visibility motivates sources to improve quality. It also assists managers in running their network and WWTP more efficiently. These improvements significantly reduce operation costs and increase infrastructure lifespan.