Nowadays, optimal sensor placement (OSP) for leakage detection in water distribution networks is a lively ﬁeld of research, and a challenge for water utilities in terms of network control, management and maintenance. How many sensors to install and where to install them are crucial decisions to make for those utilities to reach a trade-oﬀ between eﬃciency and economy. In this paper, we address the where-to-install-them part of the OSP through the following elements: nodes’ sensitivity to leakage, uncertainty of information, and redundancy through conditional entropy maximization. We evaluate relationships among candidate sensors in a network to get a picture of the mutual inﬂuence among the nodes. This analysis is performed within a multi-criteria decision-making approach, speciﬁcally, a herein proposed variant of DEMATEL, which uses fuzzy logic and builds comparison matrices derived from information obtained through leakage simulations of the network. We apply the proposal ﬁrst to a toy example to show how the approach works, and then to a real-world case study.
|Numero di pagine||18|
|Stato di pubblicazione||Published - 2020|
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