Smart Water Management Using Intelligent Digital Twins

Providing and distributing fresh water to large communities is a major global concern. In addition its scarcity as well wastage, this vital resource being affected by challenging environmental conditions. New approaches are, therefore, urgently needed for an optimized, fair, efficient use of water. The adoption emergent technologies giving high hopes reach objective. Among these technologies, digital twin attracting increasing attention from the academic industrial committees. This particularly motivated expected values any sector, including process optimization, cost reduction, time market shortening. specific field management, several solutions are proposed, especially detect leak detection test assets under variety working constraints. These still lacking intelligence autonomy throughout loop data acquisition processing asset control service generation delivery. To end, we proposing in paper new framework based on multi-agent systems DT paradigm close gaps within loop. Our system responsible running analytics mechanisms order assess consumption generate relevant feedbacks users using, among others, rewarding select appropriate pricing policies. It also simulating operations constraints purpose failure and/or defect detection.