Big data for anomaly detection in maritime surveillance: spatial AIS data analysis for tankers

• Autorzy: Filipiak D. , Stróżyna M. , Węcel K. , Abramowicz W.

Identyfikatory

DOI

10.2478/sjpna-2018-0024

Warianty tytułu

PL

BIG data i wykrywanie anomalii w ruchu morskim: przestrzenna analiza danych AIS dla tankowców

• Języki publikacji: EN

Abstrakty

EN

The paper presents results of spatial analysis of huge volume of AIS data with the goal to detect predefined maritime anomalies. The maritime anomalies analysed have been grouped into: traffic analysis, static anomalies, and loitering detection. The analysis was carried out on data describing movement of tankers worldwide in 2015, using sophisticated algorithms and technology capable of handling big data in a fast and efficient manner. The research was conducted as a follow-up of the EDA-funded SIMMO project, which resulted in a maritime surveillance system based on AIS messages enriched with data acquired from open Internet sources.

PL

W artykule zaprezentowano wyniki przestrzennej analizy dużej ilości danych AIS z jednego roku w celu wykrycia wybranych anomalii morskich. Anomalie podzielono na trzy grupy: związane z ruchem, statyczne i wykrywanie tzw. loiteringu-każda z nich została przetestowana na podstawie raportów wysyłanych przez tankowce w 2015 roku. Analizę przeprowadzono przy użyciu zaawansowanych algorytmów i technologii big data pozwalających na szybką ocenę dużych wolumenów danych morskich. Badanie zostało przeprowadzone jako kontynuacja projektu SIMMO, w ramach którego opracowano system nadzoru morskiego oparty na wiadomościach AIS wzbogaconych o dane pozyskiwane z otwartych źródeł internetowych.

Słowa kluczowe

EN

maritime surveillance; AIS data; anomaly detection; big data

PL

nadzór morski; dane AIS; wykrywanie anomalii; big data

• Wydawca: Akademia Marynarki Wojennej im. Bohaterów Westerplatte
• Czasopismo: Zeszyty Naukowe Akademii Marynarki Wojennej
• Rocznik: 2018
• Tom: R. 59 nr 4 (215)
• Strony: 5--28
• Opis fizyczny: Bibliogr. 39 poz., rys., tab.

Twórcy

autor

Filipiak D.

• Poznan University of Economics and Business, Department of Information Systems, Niepodległości 10 Ave., 61-875 Poznań, Poland

autor

Stróżyna M.

• Poznan University of Economics and Business, Department of Information Systems, Niepodległości 10 Ave., 61-875 Poznań, Poland

autor

Węcel K.

• Poznan University of Economics and Business, Department of Information Systems, Niepodległości 10 Ave., 61-875 Poznań, Poland

autor

Abramowicz W.

• Poznan University of Economics and Business, Department of Information Systems, Niepodległości 10 Ave., 61-875 Poznań, Poland

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