Cristin-resultat-ID: 1869306
Sist endret: 14. april 2021 11:51
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig artikkel
2021

An integrated approach for monitoring structural deformation of aquaculture net cages

Bidragsytere:
  • Biao Su
  • Eleni Kelasidi
  • Kevin Frank
  • Joakim Haugen
  • Martin Føre og
  • Magnus Oshaug Pedersen

Tidsskrift

Ocean Engineering
ISSN 0029-8018
e-ISSN 1873-5258
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2021
Publisert online: 2020
Volum: 219:108424
Sider: 1 - 21

Importkilder

Scopus-ID: 2-s2.0-85097775009

Beskrivelse Beskrivelse

Tittel

An integrated approach for monitoring structural deformation of aquaculture net cages

Sammendrag

The majority of present marine finfish production is conducted in flexible net cages which can deform when they are subjected to water movements generated by currents. The ability to monitor net deformation is important for performing cage operations and evaluation of fish health and welfare under changing environment. This paper presents a new method for real-time monitoring of net cage deformations that is based on an integrated approach where positioning sensor data is incorporated into a numerical model. An underwater positioning system was deployed at a full-scale fish farm site, with three acoustic sensors mounted on a cage measuring positions of the net at different depths. A novel numerical model with an adaptive current field was used to simulate net cage deformations, where the magnitude and direction of the current could be adapted by continuously assessing deviations between the simulated and the measured positions of the net. This method was found to accurately predict the pre-defined current velocity profiles in a set of simulated experiments. In the field experiment, a good agreement was also obtained between the simulated positions of the net and the acoustic sensor data. The integrated approach was shown to be well suited for in-situ real-time monitoring of net cage deformations by using a significantly reduced number of sensors.

Bidragsytere

Biao Su

  • Tilknyttet:
    Forfatter
    ved Sjømatteknologi ved SINTEF Ocean

Eleni Kelasidi

  • Tilknyttet:
    Forfatter
    ved Sjømatteknologi ved SINTEF Ocean

Kevin Frank

  • Tilknyttet:
    Forfatter
    ved Sjømatteknologi ved SINTEF Ocean

Joakim Haugen

  • Tilknyttet:
    Forfatter
    ved Energi og transport ved SINTEF Ocean

Martin Føre

  • Tilknyttet:
    Forfatter
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
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