Challenges

To develop robust and flexible monitoring systems that can be adapted to extreme weather conditions, and decision support tools designed to assess system condition status and guide the scheduling and implementation of key operations.

Research tasks

System requirements: To identify and analyse the different subsystems and parameters that are prerequisite for condition status assessments, which in turn will be used as the basis for specifying requirements linked to sensors and infrastructure. To qualify which sensors that are necessary to achieve adequate coverage of a given facility’s condition status, and to assess the data quality obtained therefrom. To define a set of ICT infrastructure requirements in exposed locations that ensure robust and reliable data gathering.

Sensor and communication systems: To identify and develop innovative technical systems and sensors for the monitoring of fish farm facilities that are also capable of overseeing interactions between subsystems installed on a given facility during operations. Requirements related to error tolerance and redundancy will be key to the development of new and innovative systems. Active use will be made of know-how from the offshore industry.

Prediction of site status and decision support: Knowledge-based methods, combined with numerical modelling and sensor data, will be used to automate early warning systems, actions in response to incidents, predictive maintenance and operational planning. The number of personnel and operations involved will necessitate the automatic context-based adaptation of information and functionality. This research will be integrated with all the “OMRÅDE” (AREAS).

Industrial relevance

The results will ensure good fish welfare, reduced risk to personnel, and a reduction in negative impacts on the environment. They will promote economic benefits by means of reduced costs and improved product quality.

Research Manager: Jan Tore Fagertun (SINTEF Ocean)