Abstract
The objective of WP3 Fishery Pilot is to demonstrate how Big Data can boost the fishery sector. The Fishery Pilot focus is on two separate types of fisheries in two countries: Oceanic Tuna fisheries in Spain and small Pelagic fisheries in Norway (13 million tons). Six separate pilot cases have been defined, addressing key concerns such as the cost of fuel and vessel maintenance as well as overfishing and selection of correct species. Therefore, the pilots cover three separate viewpoints: Immediate operational choices (in each vessel during their operations), fishing vessel trip and fisheries planning (general vessels trips planning), and fisheries sustainability and value (longer term planning).
End users have been actively participating and giving feedback during the 24 months of the projects with presence from the beginning in the project kick-off meeting. Six fishing companies are involved in the project to test the framework and give feedback for the most useful implementation. The fault detection and energy efficiency tasks have been developed for on-board and shore application with fishing company machinery surveyors. End users from the fishing industry have advised about which data integration and visualization are most useful for operations planning. Several fishing vessels owners have provided feedback about the project objectives and how it can benefit them. Other end users are national and international organizations interested on fisheries sustainably. There have been several opportunities to show the project progress and receive feedback from these organizations which include regional fisheries associations, ICES fisheries experts, FAO stakeholder meetings and EFARO fisheries organizations.
Tuna oceanic pilots have achieved the installation of vessel fuel consumption monitoring systems together with end users and the big data cluster for data storage, integration, processing and visualization in AZTI facilities.
Oceanic tuna fisheries immediate operational choices (A1), has all the vessels data monitoring in place with periodical upload of data to server for shore analysis. Data analytics are producing fuel consumption equations and propulsion engine fault prediction models. The fuel consumption equations are being used to develop immediate operational decision models and for B1 pilot planning analytics. The fault prediction models are used for maintenance operation planning and to prevent unexpected engine malfunctions.
Oceanic tuna fisheries planning (B1), has all the components deployed and partly operational with data starting to be available and feeding the system in terms of environmental data (e.g. SPACEBEL component), vessels data and fish catches data. Data integration is in progress using PostgreSQL database and the Rasdaman component. Data analytics has been planned based on preliminary tests with data integrated from other regions from previous projects. Data visualization has been also tested with some of the data (mostly environmental).
Small pelagic pilots have upgraded the SINTEF Marine Data Centre infrastructure with running services distributed among servers, storage facilities and a revision of the data security and access management.
Small pelagic fisheries operational choices (A2) has installed instrumentation on the last pilot vessel and data collection is now operational in all the vessels. The decision support system is powered by data collected over a long period of time and is operational on three of four pilot vessels where long-time series of data are available. All vessel instrumentation is connected to the SINTEF Marine Data Centre and data is collected automatically from the vessels when they are in range of shore-based cellular data networks. "Closing the loop" between the data centre and the on-board decision support system, by updating and automatically synching data to the vessel from the data centre is planned for next year. ...
End users have been actively participating and giving feedback during the 24 months of the projects with presence from the beginning in the project kick-off meeting. Six fishing companies are involved in the project to test the framework and give feedback for the most useful implementation. The fault detection and energy efficiency tasks have been developed for on-board and shore application with fishing company machinery surveyors. End users from the fishing industry have advised about which data integration and visualization are most useful for operations planning. Several fishing vessels owners have provided feedback about the project objectives and how it can benefit them. Other end users are national and international organizations interested on fisheries sustainably. There have been several opportunities to show the project progress and receive feedback from these organizations which include regional fisheries associations, ICES fisheries experts, FAO stakeholder meetings and EFARO fisheries organizations.
Tuna oceanic pilots have achieved the installation of vessel fuel consumption monitoring systems together with end users and the big data cluster for data storage, integration, processing and visualization in AZTI facilities.
Oceanic tuna fisheries immediate operational choices (A1), has all the vessels data monitoring in place with periodical upload of data to server for shore analysis. Data analytics are producing fuel consumption equations and propulsion engine fault prediction models. The fuel consumption equations are being used to develop immediate operational decision models and for B1 pilot planning analytics. The fault prediction models are used for maintenance operation planning and to prevent unexpected engine malfunctions.
Oceanic tuna fisheries planning (B1), has all the components deployed and partly operational with data starting to be available and feeding the system in terms of environmental data (e.g. SPACEBEL component), vessels data and fish catches data. Data integration is in progress using PostgreSQL database and the Rasdaman component. Data analytics has been planned based on preliminary tests with data integrated from other regions from previous projects. Data visualization has been also tested with some of the data (mostly environmental).
Small pelagic pilots have upgraded the SINTEF Marine Data Centre infrastructure with running services distributed among servers, storage facilities and a revision of the data security and access management.
Small pelagic fisheries operational choices (A2) has installed instrumentation on the last pilot vessel and data collection is now operational in all the vessels. The decision support system is powered by data collected over a long period of time and is operational on three of four pilot vessels where long-time series of data are available. All vessel instrumentation is connected to the SINTEF Marine Data Centre and data is collected automatically from the vessels when they are in range of shore-based cellular data networks. "Closing the loop" between the data centre and the on-board decision support system, by updating and automatically synching data to the vessel from the data centre is planned for next year. ...