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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Research units

  • Federal University of Ceará
  • Helsinki Regional Environmental Services Authority


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.


Original languageEnglish
Title of host publication12th IFAC Symposium on Dynamics and Control of Process Systems
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventIFAC Symposium on Dynamics and Control of Process Systems, including Biosystems - Florianopolis, Brazil
Duration: 23 Apr 201926 Apr 2019
Conference number: 12

Publication series

PublisherElsevier Science Publishers BV
ISSN (Print)2405-8963


ConferenceIFAC Symposium on Dynamics and Control of Process Systems, including Biosystems
Abbreviated titleDYCOPS
Internet address

    Research areas

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

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