Abstract

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.

Highlights

  • Atlantic salmon (Salmo salar) is currently one of the most significant farmed finish species in marine aquaculture

  • Positioning data obtained from three acoustic sensors mounted on a full-scale net cage were incorporated into the numerical model by continuously altering and adapting the magnitude and direction of the current used in the simulation, dependent on differences between the simulated and the measured positions of the net

  • While ultra-short baseline (USBL) systems offer a fixed accuracy, SBL posi­ tioning accuracy improves with transducer spacing

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Summary

Introduction

Atlantic salmon (Salmo salar) is currently one of the most significant farmed finish species in marine aquaculture. These cages can deform when subjected to water movements generated by currents, altering the available volume for the fish and influencing cage management and operations. Positioning data obtained from three acoustic sensors mounted on a full-scale net cage were incorporated into the numerical model by continuously altering and adapting the magnitude and direction of the current used in the simulation, dependent on differences between the simulated and the measured positions of the net This method was implemented as a part of a general control framework for autonomous operations in fish farms that considers interactions with fish and flexible structures (Su et al, 2019). In addition to the deformed net geometry, the integrated approach was able to provide estimated values of the current as inputs for the evaluation of environmental disturbances to the fish and autonomous navigation (Kelasidi et al, 2017)

Materials and methods
Numerical simulation model
Underwater positioning system
Integrated approach for cage monitoring
Convergence studies and model validations
Hydrodynamic forces and resultant mooring loads
Cage deformations
Instantaneous current velocity profiles
Field deployments and monitoring results
Findings
Conclusions

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