《Water Resources Management》刊登“输水网络中基于熵的水损监测传感器布局优化”

作者：Symeon E.Christodoulou, Anastasis Gagatsis,  Savvas Xanthos,  Sofia Kranioti,  Agathoklis Agathokleous,  Michalis Fragiadakis

刊物：Water Resources Management，2013年10月，27卷13期，4443-4468页

关键词：输出网络，传感器布局优化，水损监测，熵

摘要： 本文提出城镇输水网络中利用基于熵值的方法进行传感器布局优化的问题，以达到高效、经济的水损监测的目的。这个方法是适用于纵向的，而不是空间的感应，所以这些声学、压力或流量传感器等设备是作用于管段上的。该方法利用熵的极大性、可加性和不确定性，以及一个管段内的感应水损概率的统计学定义，将熵度量分配到每个管段，然后基于总熵最大化优化网络中传感器的位置。本文所提的思路是一个具有启发性的大胆尝试。

Entropy-Based Sensor Placement Optimization for Waterloss Detection in Water Distribution Networks

Authors：Symeon E. Christodoulou,  Anastasis Gagatsis,  Savvas Xanthos,  Sofia Kranioti,  Agathoklis Agathokleous,  Michalis Fragiadakis

Journal：Water Resources Management，October 2013, Volume 27, Issue 13, pp 4443-4468

keywords：Water distribution networks, Sensor placement optimization, Waterloss detection, Entropy

Abstract：The work presented herein addresses the problem of sensor placement optimization in urban water distribution networks by use of an entropy-based approach, for the purpose of efficient and economically viable waterloss incident detection. The proposed method is applicable to longitudinal rather than spatial sensing, thus to devices such as acoustic, pressure, or flow sensors acting on pipe segments. The method utilizes the maximality, subadditivity and equivocation properties of entropy, coupled with a statistical definition of the probability of sensing within a pipe segment, to assign an entropy metric to each pipe segment and subsequently optimize the location of sensors in the network based on maximizing the total entropy in the network. The method proposed is a greedy-search heuristic.

原文链接：http://link.springer.com/article/10.1007/s11269-013-0419-8