AI project optimizes water networks in Tunisia
Translated from French, summarized and contextualized by DistantNews.
At a glance
- A Tunisian research project named 'QATRAMIND' uses artificial intelligence to optimize water distribution networks.
- The AI system aims to reduce water waste, improve leak detection, and enhance maintenance efficiency.
- Developed by CERTE, the project supports sustainable water resource management and showcases Tunisian scientific innovation.
Tunisia's Centre for Water Research and Technologies (CERTE) has unveiled an innovative research project called 'QATRAMIND,' which leverages artificial intelligence and advanced data analysis to optimize water distribution networks. The initiative seeks to significantly reduce water wastage and enhance the efficiency of field interventions.
This project is the result of scientific research conducted by student-researcher Samar Khlifi as part of her master's degree in Geo-resources, Water, and Environment at the Faculty of Sciences of Tunis. The work is being carried out in collaboration with the National Water Exploitation and Distribution Company (SONEDE).
The 'QATRAMIND' project analyzes operational data from water distribution networks to create decision-support tools. This enables intelligent leak detection, prioritizes intervention areas, and improves the scheduling of maintenance operations. By employing AI technologies for data processing and analysis related to network performance, the project contributes to minimizing water losses and lowering operational costs.
This innovation highlights the capacity of Tunisian scientific research to offer practical solutions for water security challenges. It promotes sustainable water resource management by strengthening collaboration between research institutions and public enterprises. The 'QATRAMIND' project serves as a model for applying research and utilizing modern technologies to improve the water sector and its governance.
Originally published by La Presse in French. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.