Network representation and analysis of a large-scale wastewater treatment plant

被引：1

作者：

Corona, Francesco ^{[1
]}

Mulas, Michela ^{[2
]}

Mikola, Anna ^{[3
]}

Kuokkanen, Anna ^{[4
]}

Heinonen, Mari ^{[4
]}

Vahala, Riku ^{[3
]}

机构：

[1] Univ Fed Ceara, Dept Comp Sci, Fortaleza, Ceara, Brazil

[2] Univ Fed Ceara, Dept Teleinformat Engn, Fortaleza, Ceara, Brazil

[3] Aalto Univ, Dept Built Enviroment, Espoo, Finland

[4] Helsinki Reg Environm Serv Author, Helsinki, Finland

来源：

IFAC PAPERSONLINE | 2019年 / 52卷 / 01期

关键词：

Process monitoring; Large-scale systems; Wastewater treatment; Complex networks; CENTRALITY; POWER;

D O I：

10.1016/j.ifacol.2019.06.089

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We mapped a large-scale wastewater treatment plant onto a complex network and we investigated how the structural properties of the graph evolve in time as the facility is operated. The Viikinmaki plant is mapped onto a dependence network in which the nodes are online process measurements and interconnectivity between nodes encodes pairwise correlations between the corresponding time series, as estimated over moving-windows. In this initial study, the construction of a graph of Viikinmaki is presented and results are discussed with the goal of understanding its usability as model for process interactions and encoder of latent structures. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：364 / 369

页数：6

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