Ανάλυση σύνθετων γεγονότων του Αυτόματου Συστήματος Αναγνώρισης (AIS)
KeywordsAutomatic Identification Systems (AIS) ; Επιτήρηση ; Συστήματα σύνθετων γεγονότων ; Θαλάσσιες μεταφορές
Global trade is carried mainly by sea, with estimates assessing that sea trade accounts for more than 90% of the global trade. As of January 2011, more than 100,000 commercial ships were in service. Projections also estimate that the current 8 billion tones of cargo transported at sea will have grown to 23 billion tones by 2060. The current and growing economic importance of maritime transport brings with it a number of challenges, in terms of ecological responsibility, financial costs, safety and security. As a first step towards addressing such challenges, the Automatic Identification System (AIS) was introduced, in order to provide real-time information about the behavior of vessels. We will show how AIS works and what it is capable of in our world and sea trade. . In this thesis we will develop a complex event recognition system, operating on AIS streams, for maritime surveillance and environmental monitoring. The AIS data will be analyzed try to show the importance of development of such systems that through AIS will improve the maritime surveillance and all of its benefits.