Is a next-generation permanent leak monitoring solution powered by Artificial Intelligence. ZONESCAN AI is the fully compatible successor to the ZONESCAN NB-IoT model, which recorded over 50,000 installations worldwide in less than four years.
Is a next-generation permanent leak monitoring solution powered by Artificial Intelligence. ZONESCAN AI is the fully compatible successor to the ZONESCAN NB-IoT model, which recorded over 50,000 installations worldwide in less than four years.
Installing a noise logger for leak detection has never been easier. The ZONESCAN INSTALL Android app guides you step-by-step in activating the ZONESCAN AI logger, registering it on the NB-IoT network, assigning the exact location, and scheduling noise recording times.
Each noise signal recorded by a logger is time-synchronized using Gutermann’s proprietary technology, with an accuracy of ≤1 millisecond. This allows the cloud software to automatically correlate data from all nearby sensors and indicate leaks even where individual loggers do not detect a leak.
ZONESCAN AI uses NB-IoT (Narrowband Internet of Things) technology, supported by most GSM operators. It is ideal for battery-powered devices installed in underground chambers. The use of the latest radio chip, high-performance antennas and close software collaboration with GSM providers optimizes communication with the Gutermann cloud. ZONESCAN AI using NB-IoT significantly outperforms other 3G/4G CAT M1 IoT devices due to:
The new Cloud AI uses thousands of factual data validated by real users around the world, thus increasing the reliability of loss prediction to a whole new level. ZONESCAN AI provides the necessary hardware for Artificial Intelligence, using a state-of-the-art CPU with advanced cybersecurity.
Installation without interrupting water supply to consumers or excavation work, real-time data collection without interruption, automatic problem reporting.
Quickly identify water losses and reduce unbilled water volumes. Ensure optimal management of maintenance work, helping to prevent major overhauls.
Systems that allow testing efficiency on a portion of the network and scaling across the entire infrastructure, in stages, depending on the company's needs and resources.