towards precision fishery: standardized modelling of smart ... · echebastar a1 pilot data...
TRANSCRIPT
![Page 1: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/1.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
1
Towards precision fishery: standardized modelling of smart
services in the fishery domain
Ståle Walderhaug†
Department for Software Engineering, Safety and Security
SINTEF DigitalTromsø Norway
Per Gunnar AuranDepartment for Energy and
TransportSINTEF Ocean AS
Trondheim [email protected]
Arne Jørgen BerreDepartment for Software and
Service Innovation SINTEF DigitalOslo Norway
![Page 2: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/2.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
2
Our research goal
• Investigate in a large scale how smart data-driven services for fisheries can be identified and modelledusing• a model-driven approach with Archimate 3.0
• big data reference model from BDVA.
![Page 3: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/3.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
4
The problem domain
• Operate in harsh environments
• Limited communication coverage and with rapid changes in weather, fish prices and regulations.
• Weather changes heavily affect route optimization, fuel consumption as well as the feasibility, efficiency and safety of fishery operations.
Norway Finland RussiaSweden
![Page 4: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/4.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
5
Fishing is data intensive
• The fishing fleet is increasingly sophisticated with numerous sensors.
• Sales data are routinely accessed to obtain information
• AIS (Automatic Identification System) tracking portals are used
• The governing bodies (EC and national EU and EEC member states) requires fishermen and landing sites by law to report catch data back to them for monitoring purposes.
![Page 5: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/5.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
6
Fishery Datasets – Oceanic Tuna and Small Pelagic Fisheries
Dataset type / Variety
Dataset Volume (GB) Velocity (GB/year)
Start date Comment
Market Data Catch reports, economic figures < 1GB <0,07 20120101 9 data sources, catch data >50k but important
Vessel Data ESASErosKingsBayLiegFiEchebastar A1 pilot dataEchebastar UE Fleet data
6764781,525903,8
18,820,519,617,15,4602,6
201409012014090320140826201807312014010120170101
Recently installed by DataBio
12bit x 4variables x 1,07e+11/year (minimum)
EO, CMEMS, Met Ocean physcis(current/temp)Wave data (open ocean)BiologyWindCoastal waves (Met)Oceanic Tuna EO + research data
31028399,83251203938,8
115,5165,737,1121,2802625,9
201601012016120920160101201601012016091820170101 12bit x 4variables x 1,11e+11/year (minimum)
SINMOD Oceanographic modeling (4km)NOAA atmospheric + SINMOD input
385N/A
17523500
20180614N/A
Operationalized + fishmodel by Databio Only keept for model output generation
Hydroacoustics SIMRAD EK80 series-echosounder(SIMRAD SX90 Sonar Simrad SN90 Sonar +echosounder
3,3N/A317
121,25402Per cruise
N/AN/A20180612-18
Logging module development in DataBioFor information only, main fish sensor) Mitigation- Research cruise, manual logging
Total All fishery pilot data assets 5004,2 5815,4
![Page 6: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/6.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
7
Context: The DataBio project with pilot demonstrations
![Page 7: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/7.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
8
DataBio – Fisheries Pilots Overview
Eros AS Kings Bay ASApply Big Data Technology in two fisheries and three thematic groups: 6 pilots
T3.2
T.3.3
T 3.4
![Page 8: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/8.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
9
Methods and materials
• Use the BDVA reference model with Archimate modelling as a tool for bridging the communication gap actors involved
• Identify stakeholders, their operation goals and strategies for implementing them
• Identify state of the art data sources and software components
![Page 9: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/9.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
10
The results
• Archimate• Motivation
• Strategy
• Business models
• Application
• Extended diagrams• Pipelines
• Role
• Lifecycle
![Page 10: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/10.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
11
Motivation
![Page 11: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/11.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
12
Strategy
![Page 12: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/12.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
13
Business
![Page 13: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/13.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
14
BDVA distribution
![Page 14: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/14.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
15
C1 Pilot
B2 Pilot
Common applicationpipeline
C2 Pilot
Common datasets/ infrastructure
Data management
Data visualization
Data processing and analytics
![Page 15: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/15.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
16
Modelling results summary
• 26 pilot systems• Extended modelling to include agriculture and
forestry
• 450 design diagrams
• 5700 modelling elements
![Page 16: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/16.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
17
DataBio Fishery services – Small pelagic pilots common picture
![Page 17: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/17.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
18
Historic catch data: fishing grounds, landing site catch composition
![Page 18: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/18.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
19
Individual Haul Analytics
![Page 19: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/19.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
20
Machine learned catch prediction classification Deep Nevral Network (ESUSHI whitefish data)
Latitude,Longitude,Salinity,Temperature,BottomTemperature,MoonPhase,meanWaveDirectionSwell,meanWaveDirectionWind,meanWavePeriodSwell,peakWaveDirection,peakWaveDirectionSwell,peakWaveDirectionWind,peakWavePeriod,peakWavePeriodSwell,peakWavePeriodSwim,significantSwellWaveHeight,significantWaveHeight,significantWavePeriod,significantWindWaveHeight,stokesDriftXVelocity,stokesDriftYVelocity,waveDirection,windDirection,windSpeed,distanceToLand,nitrogenSurface,nitrogenBottom,phosphateSurface,phosphateBottom,silicateSurface,silicateBottom,flagellatesSurface,flagellatesBottom,diatomsSurface,diatomsBottom,oxygenSurface,oxygenBottom,microplanctonSurface,microplanctonBottom,mesozoonplanctonSurface,mesozoonplanctonBottom,detriusSurface,detriusBottom,DEPTSurface,DEPTBottom,SISSurface,SISBottom,AvgDepth,AvgChlorophyll
f( ,t)= {High Catch Probability
Average Expectations
Low Catch ProbabilityC
![Page 20: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/20.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
21
Findings from modelling Fishery Big Data Services
• Fishermen from different fisheries and geographical areas share the majority of goals and drivers
• The strategy for reaching these goals require many common activities and will utilize a common set of resources (e.g. processing and data sets)• Reuse and standardization may be useful
• There is a large variation in quality and availability of relevant data sources for predictive analytics• Data spaces should be in focus
![Page 21: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/21.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
22
Concluding remarks
• Archimate and domain experts• Motivation and strategy models useful for communication and design
• Business models in some cases
• Archimate and BDVA• Reference model useful component classifications and application design
• Pipeline and lifecycle modelling more structured
Promosing results, but more evaluations are requiered to conclude
![Page 22: Towards precision fishery: standardized modelling of smart ... · Echebastar A1 pilot data Echebastar UE Fleet data 67 64 78 1,5 25 903,8 18,8 20,5 19,6 17,1 5,4 602,6 20140901 20140903](https://reader034.vdocuments.mx/reader034/viewer/2022052011/60272064e07017695f519d9d/html5/thumbnails/22.jpg)
This document is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programmeunder agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
23
Thank you for your attention!