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

Francesco Corona; Michela Mulas; Anna Mikola; Anna Kuokkanen; Mari Heinonen; Riku Vahala

doi:10.1016/j.ifacol.2019.06.089

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

Francesco Corona^*, Michela Mulas, Anna Mikola, Anna Kuokkanen, Mari Heinonen, Riku Vahala

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

96 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	12th IFAC Symposium on Dynamics and Control of Process Systems
Kustantaja	Elsevier
Sivut	364-369
Sivumäärä	6
DOI - pysyväislinkit	https://doi.org/10.1016/j.ifacol.2019.06.089
Tila	Julkaistu - 2019
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems - Florianopolis, Brasilia Kesto: 23 huhtikuuta 2019 → 26 huhtikuuta 2019 Konferenssinumero: 12 http://dycopscab2019.sites.ufsc.br/ http://dycopscab2019.sites.ufsc.br/index.html

Julkaisusarja

Nimi	IFAC-PapersOnLine
Kustantaja	Elsevier Science Publishers BV
Numero	1
Vuosikerta	52
ISSN (painettu)	2405-8963

Conference

Conference	IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems
Lyhennettä	DYCOPS
Maa	Brasilia
Kaupunki	Florianopolis
Ajanjakso	23/04/2019 → 26/04/2019
www-osoite	http://dycopscab2019.sites.ufsc.br/ http://dycopscab2019.sites.ufsc.br/index.html

Pääsy asiakirjaan

10.1016/j.ifacol.2019.06.089

1-s2.0-S2405896319301752-mainFinal published version, 2,43 MB

Siteeraa tätä

@inproceedings{554f35534fe045cca553fa2060bd8608,

title = "Network representation and analysis of a large-scale wastewater treatment plant",

abstract = "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.",

keywords = "Process monitoring, Large-scale systems, Wastewater treatment, Complex networks, CENTRALITY, POWER",

author = "Francesco Corona and Michela Mulas and Anna Mikola and Anna Kuokkanen and Mari Heinonen and Riku Vahala",

year = "2019",

doi = "10.1016/j.ifacol.2019.06.089",

language = "English",

series = "IFAC-PapersOnLine",

publisher = "Elsevier",

number = "1",

pages = "364--369",

booktitle = "12th IFAC Symposium on Dynamics and Control of Process Systems",

address = "Netherlands",

note = "IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS ; Conference date: 23-04-2019 Through 26-04-2019",

url = "http://dycopscab2019.sites.ufsc.br/, http://dycopscab2019.sites.ufsc.br/index.html",

}

Corona, F , Mulas, M , Mikola, A, Kuokkanen, A, Heinonen, M & Vahala, R 2019, Network representation and analysis of a large-scale wastewater treatment plant. julkaisussa 12th IFAC Symposium on Dynamics and Control of Process Systems. IFAC-PapersOnLine, Nro 1, Vuosikerta 52, Elsevier, Sivut 364-369, IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, Florianopolis, Brasilia, 23/04/2019. https://doi.org/10.1016/j.ifacol.2019.06.089

Network representation and analysis of a large-scale wastewater treatment plant. / Corona, Francesco ; Mulas, Michela ; Mikola, Anna; Kuokkanen, Anna; Heinonen, Mari; Vahala, Riku.

12th IFAC Symposium on Dynamics and Control of Process Systems. Elsevier, 2019. s. 364-369 (IFAC-PapersOnLine; Vuosikerta 52, Nro 1).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

TY - GEN

T1 - Network representation and analysis of a large-scale wastewater treatment plant

AU - Corona, Francesco

AU - Mulas, Michela

AU - Mikola, Anna

AU - Kuokkanen, Anna

AU - Heinonen, Mari

AU - Vahala, Riku

N1 - Conference code: 12

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Process monitoring

KW - Large-scale systems

KW - Wastewater treatment

KW - Complex networks

KW - CENTRALITY

KW - POWER

U2 - 10.1016/j.ifacol.2019.06.089

DO - 10.1016/j.ifacol.2019.06.089

M3 - Conference contribution

T3 - IFAC-PapersOnLine

SP - 364

EP - 369

BT - 12th IFAC Symposium on Dynamics and Control of Process Systems

PB - Elsevier

T2 - IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems

Y2 - 23 April 2019 through 26 April 2019

ER -