A Multiple-Layer Clustering Method for Real-Time Decision Support in a Water Distribution System

被引：6

作者：

Predescu, Alexandru ^{[1
]}

Negru, Catalin ^{[1
]}

Mocanu, Mariana ^{[1
]}

Lupu, Ciprian ^{[1
]}

Candelieri, Antonio ^{[2
]}

机构：

[1] Univ Politehn Bucuresti, Dept Comp Sci, Bucharest, Romania

[2] Univ Milano Bicocca, Dept Comp Sci, Milan, Italy

来源：

BUSINESS INFORMATION SYSTEMS WORKSHOPS (BIS 2018) | 2019年 / 339卷

基金：

欧盟地平线“2020”;

关键词：

Decision support system; Machine learning; Multiple-layer clustering;

D O I：

10.1007/978-3-030-04849-5_42

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Machine learning provides a foundation for a new paradigm where the facilities of computing extend to the level of cognitive abilities in the form of decision support systems. In the area of water distribution systems, there is an increased demand in data processing capabilities as smart meters are being installed providing large amounts of data. In this paper, a method for multiple-layer data processing is defined for prioritizing pipe replacements in a water distribution system. The identified patterns provide relevant information for calculating the associated priorities as part of a real-time decision support system. A modular architecture provides insights at different levels and can be extended to form a network of networks. The proposed clustering method is compared to a single clustering of aggregated data in terms of the overall accuracy.

引用

页码：485 / 497

页数：13

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