Apport des technologies spatiales pour la détection de comportements anormaux de navires

Apport des technologies spatiales pour la détection de comportements anormaux de naviresApport des technologies spatiales pour la détection de comportements anormaux de naviresUsing spatial technologies to detect abnormal vessel behaviourUsing spatial technologies to detect abnormal vessel behaviour

1/16MARISK 2012 – 26/27 Janvier

- Arnaud Van De Casteele -Sous la direction de Aldo Napoli

Mines ParisTech – CRC

Apport des technologies spatiales Apport des technologies spatiales pour la détection de comportements anormaux de navirespour la détection de comportements anormaux de navires

Using spatial technologies to detect Using spatial technologies to detect abnormal vessel behaviourabnormal vessel behaviour


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Contexte & ProblématiqueContexte

Nouveaux Systèmes de Surveillance Enjeux de recherche

Ontologies spatialesQu'est ce qu'une ontologie ?

L'ontologie de comportements anormauxRaisonnement spatial

Prototype & exemplesArchitecture proposée

Exemples de comportement anormal

Background & Research problemBackgroundNew Sea border surveillance system Research issues

Spatial OntologiesWhat is an ontology ?Abnormal vessel behavior ontologySpatial reasoning

Prototype & examplesPrototype architectureExamples of abnormal vessel behaviour


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MSC Napoli janvier 2007 (storm)Limburg oct 2002 (terrorism)

Hebei Spirit Dec 2007 (collision) Ponant Avril 2008 (piracy)

Source : ICC International Maritime Bureau

Economic 90% of world trade is transported by sea In EU 90% of oil and gas are transported by sea

Illegal Fishing Only 6% of illegal fishing frauds are detected 88% of fishing stocks in the EU are overexploited

Pollution 30 000 illegal oil spills are estimated every year (EU)

Illegal immigration 55% of illegal border crossing immigration is done by sea (EU) 3000 illegal ''know'' immigrants lost their life at sea every year

Context

Background & research problem Spatial Ontology Prototype & examples

> background New sea border surveillance system Research issues


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There might be a better way to visualize and analyze so much information isn't it ?


> background New sea border surveillance system Research issues


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background > New sea border surveillance system Research issues


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background New sea border surveillance system > Research issues

Geo-Geo-collaborationcollaboration

Spatial Spatial OLAPOLAP

Spatial Data Spatial Data MiningMining

Storage andStorage and

restitutionrestitution

MaritimeMaritimeSurveillanceSurveillance

SystemSystem

ModellingModellingand and

SimulationSimulation

VisualizationVisualizationandand

InterfaceInterface

Center for research onRisks andCrisis

Research & trainingBusiness creationIndustrial partnershipsstrong industrial contacts


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Research Themes: Marine traffic analysis and detection of abnormal behaviours

● Spatial Data mining● Ontology formalisation and modelling● Bayesian Network● Design and development of Decision Support Systems● Geomatic portal, geodecisional system, Geocollaboration


background New sea border surveillance system > Research issues


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> What is an Ontology Abnormal Vessel behavior ontology Spatial reasoning

> How can we share knowledge inside decision support system ?

Navire

Pétrolier

Tanker

Vessel

BoatSuper-Tanker


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Source : Ontology Dimension Map; Ontology Summit 2007

« An ontology is a formal explicit specification of a shared conceptualization »

Studer, 1998


> What is an Ontology Abnormal vessel behaviour ontology Spatial reasoning

An ontology can be use to :

Knowledge representation

Knowledge sharing and reuse

Automatic Reasoning

Formal vocabulary, etc.

Gruninger & Lee, 2002


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What is an Ontology > Abnormal vessel behavior ontology Spatial reasoning

Modeling of abnormal vessel behavior

> How can we use spatial knowledge of maritime experts ?


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What is an Ontology Abnormal vessel behavior ontology > Spatial reasoning

Vessel(?vessel), OP_Vessel_hasVesselType(?vessel, ?vesselType), DP_Vessel_hasSpeed(?vessel, ?speedVessel), DP_Vessel_hasSpeed(?vesselType, ?speedTypeVessel), greaterThan(?speedTypeVessel, ?speedVessel) ->OP_Vessel_hasAlert(?vessel, Alert_Speed_HighSpeed)

If a type of vessel has a speed above X then rise alert :

Vessel(?vessel), DP_Vessel_hasPosition(?vessel, ?position),DP_Analysis_DataPath(Alert_Area_Restricted, ?geoData), intersects(?geoData, ?position) -> OP_Vessel_hasAlert(?vessel, Alert_Area_Restricted)

If a vessel enters in a restricted area then rise alert :

Example of rules detection


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> Prototype architecture Example of abnormal vessel behaviour


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Alert age of shipAlert age of ship

Alert Area RestrictedAlert Area Restricted Alert SpeedAlert Speed


Prototype architecture > Example of abnormal vessel behaviour

Identification of abnormal vessel behaviour


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Prototype architecture > Example of abnormal vessel behaviour

Map Visualization


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Conclusion

Evolution of the maritime threat needs new Sea border surveilance system

We need maritime expert to design this system

Ontologies can be used to model the expert knowledge

Ontologies and spatial ontologies can be used to analyze abnormal vessel behaviour


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Questions ?

Arnaud Van De Casteelearnaud {dot} van_de_casteele {at} mines-paristech {dot} fr

Mines ParisTechCentre de recherche sur les Risques et les Crises (CRC)

Rue Claude Daunesse, BP 20706904 Sophia-Antipolis Cedex - FranceTél : + 33(0)4.93.95.75.77

http://www.i2c.eu

A. Van De Casteele, A. Napoli, M. Morel, Apport du géodécisionnel et de la géocollaboration aux nouveaux systèmes de surveillance maritime, Conférence INFORSID, 2011 (France)

Idiri, B., Extraction de connaissances dans un système géodécisionnel dédié à la surveillance maritime, Conférence INFORSID, 2011 (France)

Chaze X, X., Bouejla A., Napoli A., Guarnieri F., Eude T., Alhadef B.,The contribution of bayesian networks to manage risks of maritime piracy against oil offshore fieldsConférence DASFAA 2012 (Corée du Sud)

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Apport des technologies spatiales pour la détection de comportements anormaux de navires