Research on the Recognition of Multiple MMSI Codes on a Single Vessel Based on AIS Datas

With the development of maritime economy and widespread adoption Automatic Identification System (AIS), number vessels at sea has surged. Unfortunately, some illicitly alter their Maritime Mobile Service Identity (MMSI) codes for personal gain, posing challenges to port management. Currently, detection “Multiple MMSI on a Single Vessel” still relies manual inspections by relevant authorities. This paper proposes model based (AIS) datas. It employs interval sampling combined with cosine similarity enhance accuracy efficiency identifying such vessels. technology finds broad applications in management, safety, vessel regulation, law enforcement. The sets threshold 0.7, distance 2.7 n mile, time 3 s. Experimental results demonstrate that achieves an average 92.25%. Therefore, proposed effectively accurately detects illegal vessels, significantly enhancing management proves be rational efficient solution.