Author(s): Daniel Espinoza; Maja Sondell; Sofia Dahl; Sven Bengtsson; Salar Haghighatafshar
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Abstract: This study aims to optimize sensor placement in urban drainage systems (UDS) using predictive models of water levels and flows. The methodology involves assessing system observability through the observability Gramian matrix. The study uses open source software to implement the Saint-Venant equations in a state-space form. A genetic optimization algorithm adjusts sensor placements, maximizing the rank of the observability matrix. The approach is demonstrated on a drainage network in a small Swedish community.
Year: 2026